From 881e59677bc5d205866103aff9fba98a2cee4c24 Mon Sep 17 00:00:00 2001 From: LoopX Agent <337587101+loopx-agent@users.noreply.github.com> Date: Wed, 4 Nov 2026 18:57:45 +0800 Subject: [PATCH] test(presentation): cover real unknown native retention Signed-off-by: LoopX Agent <337587101+loopx-agent@users.noreply.github.com> --- .../edgebench-graph-saved-analysis.json | 2951 ++++++++++++++++- .../original-native-retention-desktop.png | Bin 0 -> 105499 bytes .../original-native-retention-mobile.png | Bin 0 -> 58987 bytes .../research-history-backend.py | 3 + .../research-history.md | 24 + .../research-real-benchmark.mjs | 50 +- .../test_research_history_fixture.py | 14 + 7 files changed, 3039 insertions(+), 3 deletions(-) create mode 100644 docs/development/assets/runtime-source-analysis/original-native-retention-desktop.png create mode 100644 docs/development/assets/runtime-source-analysis/original-native-retention-mobile.png diff --git a/apps/presentation/dashboard/src/data/fixtures/edgebench-graph-saved-analysis.json b/apps/presentation/dashboard/src/data/fixtures/edgebench-graph-saved-analysis.json index 60321e9364..5f1df8793a 100644 --- a/apps/presentation/dashboard/src/data/fixtures/edgebench-graph-saved-analysis.json +++ b/apps/presentation/dashboard/src/data/fixtures/edgebench-graph-saved-analysis.json @@ -12,8 +12,12 @@ "Complete saved analysis responses, including original judgments, costs and language-specific cache misses, are unchanged.", "No Explore events were recorded in this selected analysis Goal. Empty history is not a reconstructed solver history.", "No authority store, execution state, raw session transcript, model process or solver is restored by this display fixture.", - "The included native-report-4 range, baseline/retained/final inventory rows and terminal retention range are portable. Other citations remain explicitly unavailable." - ] + "The included native-report-4 range, baseline/retained/final inventory rows and terminal retention range are portable. Other citations remain explicitly unavailable.", + "Only the included native-report-4 citation range is portable; uncaptured citations are explicitly unavailable.", + "The original registered native-feedback snapshot preserves unknown retention. Switching scope reuses its unchanged saved judgments and usage; a best measurement does not fill missing adopted results." + ], + "additional_http_capture_completed_at": "2026-11-04T10:47:19.029529+00:00", + "additional_http_capture_scope": "Original registered native-feedback snapshot and three exact citations; browser-read capture time, separate from historical solver and analysis time. Initial readbacks retain their original captured_at." }, "analysis_readbacks": { "original": { @@ -3024,6 +3028,2913 @@ }, "execution_enabled": false } + }, + "initial_original": { + "request_path": "/api/chat/research-analysis?goal_id=edgebench-official-graph-analysis-20261011-04&pack_id=c570ee0653992fd555a2457371a17a57c02935f783d26619b0dbd530ba97730b", + "response_sha256": "7b68615db558732a9a78b4d83befcb3e31d92840f4d4944c37f5589288fcfcd2", + "response": { + "ok": true, + "catalog": { + "ok": true, + "availability": "available", + "reason_code": null, + "default_pack_id": "020a5c5ee69d6795192a5544255219b8f91e1d0e272fe6db355e99d226903db1", + "packs": [ + { + "pack_id": "c570ee0653992fd555a2457371a17a57c02935f783d26619b0dbd530ba97730b", + "title": "Graph Official · 18h · 原生反馈片段", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "selection": { + "rule": "Deterministic six equal submission-order strata among native results with exact captured feedback observation; two preceding and up to two following bounded assistant narrative messages. Purposive native-feedback episodes, not an exhaustive research population. Full released report inventory supplied separately; temporal adjacency alone is not evidence adoption.", + "population_episodes": null, + "exhaustive": false + }, + "episode_count": 6, + "source_count": 40, + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "method_version": "research-episodes-v2", + "config": { + "model": "gpt-6.1-sol", + "effort": "max", + "service_tier": "fast" + }, + "availability": "available", + "reason_code": null, + "native_outcomes": { + "artifact": "product-goal-sources/official/graph/native-outcomes.json", + "artifact_sha256": "58530963ff2624eef198dcf2d90799a8d690dbdfdb1e5f66ebff0a1172350ee7", + "projection": { + "method": "source_bound_native_outcomes_v1", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "start": "2026-10-11T12:28:51.627Z", + "end": "2026-10-12T06:28:34.282Z", + "complete": true, + "metric": { + "name": "Native task score", + "unit": "raw", + "higher_is_better": true + }, + "sample_count": 18, + "valid_count": 17, + "initial": null, + "best_valid": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "retained": null, + "final_valid": { + "submission_index": 18, + "result_id": "ba86adc7653e", + "candidate_ref": "agent-18", + "submitted_at": "2026-10-12T06:00:45.288Z", + "observed_at": "2026-10-12T06:02:40.679Z", + "value": 0.8485288027628158, + "citation": { + "source_id": "released-native-inventory", + "first_line": 18, + "last_line": 18 + } + }, + "limitations": [ + "Provider-recorded measurements in the declared capture; not study countability or a causal effect.", + "Validity and retained selection belong to the native provider, not model judgments or Todo status.", + "Initial requires a complete prefix and a valid first submission; invalid or missing results are not zero.", + "Submission order determines initial/final; delayed feedback does not make an older candidate current.", + "Costs retain their own measured windows; no monetary, whole-study or per-result cost is inferred." + ] + }, + "applicability": "current", + "reason_code": null + } + }, + { + "pack_id": "ae3ed1f8886e215bbb014761b79271bfb17ead9f4720c1078b18c1c24a0a2aff", + "title": "Graph Official · 末段最终保留 · 参照 agent-16", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "selection": { + "rule": "Deterministic six equal submission-order strata among native results with exact captured feedback observation; two preceding and up to two following bounded assistant narrative messages. Purposive native-feedback episodes, not an exhaustive research population. Full released report inventory supplied separately; temporal adjacency alone is not evidence adoption.", + "population_episodes": null, + "exhaustive": false + }, + "episode_count": 6, + "source_count": 40, + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "method_version": "research-episodes-v2", + "config": { + "model": "gpt-6.1-sol", + "effort": "max", + "service_tier": "fast" + }, + "availability": "available", + "reason_code": null, + "native_outcomes": { + "artifact": "heartbeat-094410/official-graph-final-selection-native.json", + "artifact_sha256": "65dce13953ee3ca618e251516f66738f974bff385ed38c1b48383c29e2e9e6cb", + "projection": { + "method": "source_bound_native_outcomes_v1", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "start": "2026-10-11T12:28:51.627Z", + "end": "2026-10-12T06:28:34.282Z", + "complete": true, + "metric": { + "name": "Native task score", + "unit": "raw", + "higher_is_better": true + }, + "sample_count": 18, + "valid_count": 17, + "initial": null, + "best_valid": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "retained": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "final_valid": { + "submission_index": 18, + "result_id": "ba86adc7653e", + "candidate_ref": "agent-18", + "submitted_at": "2026-10-12T06:00:45.288Z", + "observed_at": "2026-10-12T06:02:40.679Z", + "value": 0.8485288027628158, + "citation": { + "source_id": "released-native-inventory", + "first_line": 18, + "last_line": 18 + } + }, + "retained_improvement": { + "baseline": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "retention_citation": { + "source_id": "original-terminal-result", + "first_line": 7, + "last_line": 9 + }, + "value": 0, + "final_candidate_delta": -0.0010154616249691273 + }, + "limitations": [ + "Provider-recorded measurements in the declared capture; not study countability or a causal effect.", + "Validity and retained selection belong to the native provider, not model judgments or Todo status.", + "Initial requires a complete prefix and a valid first submission; invalid or missing results are not zero.", + "Submission order determines initial/final; delayed feedback does not make an older candidate current.", + "Costs retain their own measured windows; no monetary, whole-study or per-result cost is inferred." + ] + }, + "applicability": "current", + "reason_code": null + } + }, + { + "pack_id": "020a5c5ee69d6795192a5544255219b8f91e1d0e272fe6db355e99d226903db1", + "title": "Graph Official · 最终交付增量 · 参照首个有效 agent-2", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "selection": { + "rule": "Deterministic six equal submission-order strata among native results with exact captured feedback observation; two preceding and up to two following bounded assistant narrative messages. Purposive native-feedback episodes, not an exhaustive research population. Full released report inventory supplied separately; temporal adjacency alone is not evidence adoption.", + "population_episodes": null, + "exhaustive": false + }, + "episode_count": 6, + "source_count": 40, + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "method_version": "research-episodes-v2", + "config": { + "model": "gpt-6.1-sol", + "effort": "max", + "service_tier": "fast" + }, + "availability": "available", + "reason_code": null, + "native_outcomes": { + "artifact": "heartbeat-094410/official-graph-first-valid-native.json", + "artifact_sha256": "d2edb04a3d5d6c062702262f3bc395f9562ccb995c8f410b4b76a1307f7dd42b", + "projection": { + "method": "source_bound_native_outcomes_v1", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "start": "2026-10-11T12:28:51.627Z", + "end": "2026-10-12T06:28:34.282Z", + "complete": true, + "metric": { + "name": "Native task score", + "unit": "raw", + "higher_is_better": true + }, + "sample_count": 18, + "valid_count": 17, + "initial": null, + "best_valid": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "retained": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "final_valid": { + "submission_index": 18, + "result_id": "ba86adc7653e", + "candidate_ref": "agent-18", + "submitted_at": "2026-10-12T06:00:45.288Z", + "observed_at": "2026-10-12T06:02:40.679Z", + "value": 0.8485288027628158, + "citation": { + "source_id": "released-native-inventory", + "first_line": 18, + "last_line": 18 + } + }, + "retained_improvement": { + "baseline": { + "submission_index": 2, + "result_id": "e00dc3959c91", + "candidate_ref": "agent-2", + "submitted_at": "2026-10-11T13:37:19.792Z", + "observed_at": "2026-10-11T13:39:12.474Z", + "value": 0.8172464473565724, + "citation": { + "source_id": "released-native-inventory", + "first_line": 2, + "last_line": 2 + } + }, + "retention_citation": { + "source_id": "original-terminal-result", + "first_line": 7, + "last_line": 9 + }, + "value": 0.032297817031212595, + "final_candidate_delta": 0.03128235540624347 + }, + "limitations": [ + "Provider-recorded measurements in the declared capture; not study countability or a causal effect.", + "Validity and retained selection belong to the native provider, not model judgments or Todo status.", + "Initial requires a complete prefix and a valid first submission; invalid or missing results are not zero.", + "Submission order determines initial/final; delayed feedback does not make an older candidate current.", + "Costs retain their own measured windows; no monetary, whole-study or per-result cost is inferred." + ] + }, + "applicability": "current", + "reason_code": null + } + } + ] + }, + "pack": { + "ok": true, + "pack_id": "c570ee0653992fd555a2457371a17a57c02935f783d26619b0dbd530ba97730b", + "title": "Graph Official · 18h · 原生反馈片段", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "selection": { + "rule": "Deterministic six equal submission-order strata among native results with exact captured feedback observation; two preceding and up to two following bounded assistant narrative messages. Purposive native-feedback episodes, not an exhaustive research population. Full released report inventory supplied separately; temporal adjacency alone is not evidence adoption.", + "population_episodes": null, + "exhaustive": false + }, + "episode_count": 6, + "source_count": 40, + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "method_version": "research-episodes-v2", + "config": { + "model": "gpt-6.1-sol", + "effort": "max", + "service_tier": "fast" + }, + "availability": "available", + "reason_code": null, + "native_outcomes": { + "artifact": "product-goal-sources/official/graph/native-outcomes.json", + "artifact_sha256": "58530963ff2624eef198dcf2d90799a8d690dbdfdb1e5f66ebff0a1172350ee7", + "projection": { + "method": "source_bound_native_outcomes_v1", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "start": "2026-10-11T12:28:51.627Z", + "end": "2026-10-12T06:28:34.282Z", + "complete": true, + "metric": { + "name": "Native task score", + "unit": "raw", + "higher_is_better": true + }, + "sample_count": 18, + "valid_count": 17, + "initial": null, + "best_valid": { + "submission_index": 16, + "result_id": "6e610c29e0ae", + "candidate_ref": "agent-16", + "submitted_at": "2026-10-12T03:59:48.720Z", + "observed_at": "2026-10-12T04:01:22.153Z", + "value": 0.849544264387785, + "citation": { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + }, + "retained": null, + "final_valid": { + "submission_index": 18, + "result_id": "ba86adc7653e", + "candidate_ref": "agent-18", + "submitted_at": "2026-10-12T06:00:45.288Z", + "observed_at": "2026-10-12T06:02:40.679Z", + "value": 0.8485288027628158, + "citation": { + "source_id": "released-native-inventory", + "first_line": 18, + "last_line": 18 + } + }, + "limitations": [ + "Provider-recorded measurements in the declared capture; not study countability or a causal effect.", + "Validity and retained selection belong to the native provider, not model judgments or Todo status.", + "Initial requires a complete prefix and a valid first submission; invalid or missing results are not zero.", + "Submission order determines initial/final; delayed feedback does not make an older candidate current.", + "Costs retain their own measured windows; no monetary, whole-study or per-result cost is inferred." + ] + }, + "applicability": "current", + "reason_code": null + }, + "objective": "分析原生 Official 研究如何推进原任务，区分事实、模型解释和独立验证。原始任务见 original-objective。此 Goal 是对真实原生轨迹的新分析生命周期；历史 Official 没有 LoopX 执行 Goal。保留历史 score_countable=false，只作诊断参考，不能和新恢复组作因果效果比较。原生结果及时间由原文件提供；未验证最终保留候选、贡献归因或货币成本，不可用 best 代替 retained。数值过程指标仅对声明样本适用。", + "episodes": [ + { + "id": "native-feedback-1", + "question": "原生提交 agent-1 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-1", + "original-feedback-1", + "original-message-122", + "original-message-161", + "original-message-199", + "original-message-216" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + }, + { + "id": "native-feedback-4", + "question": "原生提交 agent-4 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-4", + "original-feedback-4", + "original-message-1743", + "original-message-1787", + "original-message-1833", + "original-message-1882" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + }, + { + "id": "native-feedback-8", + "question": "原生提交 agent-8 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-8", + "original-feedback-8", + "original-message-3831", + "original-message-3856", + "original-message-3895", + "original-message-3947" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + }, + { + "id": "native-feedback-11", + "question": "原生提交 agent-11 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-11", + "original-feedback-11", + "original-message-6278", + "original-message-6297", + "original-message-6306", + "original-message-6317" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + }, + { + "id": "native-feedback-15", + "question": "原生提交 agent-15 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-15", + "original-feedback-15", + "original-message-9103", + "original-message-9139", + "original-message-9183", + "original-message-9199" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + }, + { + "id": "native-feedback-18", + "question": "原生提交 agent-18 的反馈实际检验了什么？前后原文支持哪些方法修改、保留或拒绝？未提供的实现、有效性或采用关系应标未知，不用相邻时间推断因果。", + "source_ids": [ + "original-objective", + "original-runtime", + "released-native-inventory", + "native-report-18", + "original-feedback-18", + "original-message-11709", + "original-message-11724", + "original-message-11743", + "original-message-11752" + ], + "eligible_metrics": [ + "goal_alignment", + "benefit_test", + "discrimination", + "information_gain", + "evidence_adoption", + "redundancy" + ] + } + ], + "job": { + "schema_version": "trajectory_assessment_job_v1", + "ok": true, + "status": "succeeded", + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "method_version": "research-episodes-v2", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "config": { + "model": "gpt-6.1-sol", + "effort": "max", + "service_tier": "fast" + }, + "attempt": 1, + "started_at_unix": 1792345600.145857, + "analysis_wall_seconds": 447.04057866701623, + "usage": { + "input_tokens": 53768, + "cached_input_tokens": 0, + "cache_write_input_tokens": 0, + "output_tokens": 19278, + "reasoning_output_tokens": 13463 + }, + "served_service_tier": null, + "reused": false + }, + "result": { + "schema_version": "trajectory_assessment_v1", + "method_version": "research-episodes-v2", + "analysis_key": "34f5c3e46e75c1a937b33c98ae27109af0865621a30792a0be1651fac24a23f2", + "scope": { + "goal_id": "edgebench-official-graph-analysis-20261011-04", + "case_id": "graph_node_classification", + "run_id": "graph-official-native3600-integration-20261011-04", + "revision": "b5023a765a39bdbfd01f8c7496378cfc84bcbbda:native-session-sha256:0d23d4a7aec8d84732c9c797ee236e4201b693d725522e21f3a09f2f93cc14f1", + "window": "Original captured native session 2026-10-11T12:28:51.627Z to 2026-10-12T06:28:34.282Z; declared solver budget 18.00h. Analysis lifecycle created later." + }, + "selection": { + "rule": "Deterministic six equal submission-order strata among native results with exact captured feedback observation; two preceding and up to two following bounded assistant narrative messages. Purposive native-feedback episodes, not an exhaustive research population. Full released report inventory supplied separately; temporal adjacency alone is not evidence adoption.", + "population_episodes": null, + "exhaustive": false + }, + "evidence_manifest": [ + { + "id": "original-objective", + "artifact": "native-runs/runs/graph-official-native3600-integration-20261011-04/graph_node_classification/agent_prompt.md", + "artifact_sha256": "e10af906e94a1284a8dbdec3ccabaf13b0c5e6628fc680de903d5f9a54112b12", + "first_line": 1 + }, + { + "id": "original-runtime", + "artifact": "native-runs/runs/graph-official-native3600-integration-20261011-04/graph_node_classification/runtime-receipt.json", + "artifact_sha256": "8ea6e5c6e87c75a41164857e6c74214ae85ea9961ecb0f320f40e7d33ffb61e2", + "first_line": 1 + }, + { + "id": "released-native-inventory", + "artifact": "product-goal-sources/official/graph/native-observations.jsonl", + "artifact_sha256": "c2c371ecbe723f7bfa21ddc65961aac972530f50b6af746aee52dbba9e7b77ef", + "first_line": 1 + }, + { + "id": 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Its worker-termination report cannot distinguish candidate resource problems from other causes, and the local equivalence comparison does not diagnose that failure.", + "citations": [ + { + "source_id": "native-report-1", + "first_line": 14, + "last_line": 20 + }, + { + "source_id": "original-message-199", + "first_line": 199, + "last_line": 199 + }, + { + "source_id": "original-message-216", + "first_line": 216, + "last_line": 216 + } + ] + }, + { + "episode_id": "native-feedback-1", + "metric": "information_gain", + "verdict": "yes", + "reason": "The reported completed comparison newly answered a local correctness question: the optimization preserved tested predictions and confidence values. That informed keeping the faster implementation. Native classification quality and the worker-failure cause remained unresolved.", + "citations": [ + { + "source_id": "original-message-161", + "first_line": 161, + "last_line": 161 + }, + { + "source_id": "original-message-199", + "first_line": 199, + "last_line": 199 + }, + { + "source_id": "original-message-216", + "first_line": 216, + "last_line": 216 + } + ] + }, + { + "episode_id": "native-feedback-1", + "metric": "evidence_adoption", + "verdict": "unknown", + "reason": "The optimization report still described native feedback as pending. After acknowledging failure, the assistant supplied a future memory/runtime and repeated-call plan, without a completed feedback-linked follow-up.", + "citations": [ + { + "source_id": "original-message-199", + "first_line": 199, + "last_line": 199 + }, + { + "source_id": "original-message-216", + "first_line": 216, + "last_line": 216 + } + ] + }, + { + "episode_id": "native-feedback-1", + "metric": "redundancy", + "verdict": "no", + "reason": "This was the first native submission. 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The reported local comparisons do not provide that native ablation.", + "citations": [ + { + "source_id": "original-message-1743", + "first_line": 1743, + "last_line": 1743 + }, + { + "source_id": "original-message-1833", + "first_line": 1833, + "last_line": 1833 + }, + { + "source_id": "original-message-1882", + "first_line": 1882, + "last_line": 1882 + } + ] + }, + { + "episode_id": "native-feedback-4", + "metric": "information_gain", + "verdict": "yes", + "reason": "The new valid score, 0.835929, was below round 3's 0.836494. 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This is reported experimental follow-through; raw local results are not supplied.", + "citations": [ + { + "source_id": "original-message-1833", + "first_line": 1833, + "last_line": 1833 + }, + { + "source_id": "original-message-1882", + "first_line": 1882, + "last_line": 1882 + } + ] + }, + { + "episode_id": "native-feedback-4", + "metric": "redundancy", + "verdict": "no", + "reason": "The changed bundle received native utility testing, followed by a conservative variant addressing a separate equivalence and recovery question. The repeated local comparisons had an explicit validation purpose.", + "citations": [ + { + "source_id": "original-message-1743", + "first_line": 1743, + "last_line": 1743 + }, + { + "source_id": "original-message-1833", + "first_line": 1833, + "last_line": 1833 + }, + { + "source_id": "original-message-1882", + "first_line": 1882, + "last_line": 1882 + } + ] + }, + { + "episode_id": "native-feedback-8", + "metric": "goal_alignment", + "verdict": "yes", + "reason": "The candidate combined arithmetic/CSR work with calibration and a guarded majority extension supported by reported local cases. Native testing directly checked whether these execution and prediction changes improved the scored classification objective.", + "citations": [ + { + "source_id": "original-message-3831", + "first_line": 3831, + "last_line": 3831 + }, + { + "source_id": "original-message-3856", + "first_line": 3856, + "last_line": 3856 + }, + { + "source_id": "native-report-8", + "first_line": 46, + "last_line": 60 + } + ] + }, + { + "episode_id": "native-feedback-8", + "metric": "benefit_test", + "verdict": "yes", + "reason": "The candidate completed a valid ten-split native evaluation measuring quality, calibration, runtime penalty and final score. 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No explicit controlled contrast separating competing explanations for the native result is supplied.", + "citations": [ + { + "source_id": "original-message-3831", + "first_line": 3831, + "last_line": 3831 + }, + { + "source_id": "original-message-3856", + "first_line": 3856, + "last_line": 3856 + }, + { + "source_id": "original-message-3947", + "first_line": 3947, + "last_line": 3947 + } + ] + }, + { + "episode_id": "native-feedback-8", + "metric": "information_gain", + "verdict": "yes", + "reason": "Native evaluation newly measured the bundle at 0.828945 with 53.985-second average runtime, below the recorded 0.836494 incumbent score. This supplied decision-relevant negative evidence beyond the favorable synthetic checks, without isolating component effects.", + "citations": [ + { + "source_id": "original-message-3856", + "first_line": 3856, + "last_line": 3856 + }, + { + "source_id": "native-report-8", + "first_line": 46, + "last_line": 60 + }, + { + "source_id": "released-native-inventory", + "first_line": 3, + "last_line": 3 + } + ] + }, + { + "episode_id": "native-feedback-8", + "metric": "evidence_adoption", + "verdict": "unknown", + "reason": "The response announces restoration and a model-skipping experiment. Subsequent inventory entries establish further submissions but do not identify restored code or a completed feedback-linked experiment.", + "citations": [ + { + "source_id": "original-message-3947", + "first_line": 3947, + "last_line": 3947 + }, + { + "source_id": "released-native-inventory", + "first_line": 9, + "last_line": 10 + } + ] + }, + { + "episode_id": "native-feedback-8", + "metric": "redundancy", + "verdict": "no", + "reason": "The native trial tested the scored utility of the documented revision beyond arithmetic equivalence and five synthetic cases. Those earlier checks had different coverage, giving the native evaluation a justified purpose.", + "citations": [ + { + "source_id": "original-message-3831", + "first_line": 3831, + "last_line": 3831 + }, + { + "source_id": "original-message-3856", + "first_line": 3856, + "last_line": 3856 + }, + { + "source_id": "native-report-8", + "first_line": 24, + "last_line": 35 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "goal_alignment", + "verdict": "unknown", + "reason": "The excerpt establishes a frozen candidate and an incumbent-score comparison, but does not identify round 11's intervention or the bottleneck it addressed. Submission and scoring alone do not establish that connection.", + "citations": [ + { + "source_id": "original-message-6278", + "first_line": 6278, + "last_line": 6278 + }, + { + "source_id": "original-message-6297", + "first_line": 6297, + "last_line": 6297 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "benefit_test", + "verdict": "yes", + "reason": "The candidate completed valid native evaluation across ten fully covered splits, including classification metrics, runtime and final score. Missing implementation detail does not negate this direct utility test.", + "citations": [ + { + "source_id": "native-report-11", + "first_line": 8, + "last_line": 15 + }, + { + "source_id": "native-report-11", + "first_line": 24, + "last_line": 35 + }, + { + "source_id": "native-report-11", + "first_line": 46, + "last_line": 60 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "discrimination", + "verdict": "unknown", + "reason": "Native validity is documented, but the intervention, competing explanations and separating experimental contrast are not supplied. The score comparison alone cannot establish explanatory discrimination.", + "citations": [ + { + "source_id": "native-report-11", + "first_line": 14, + "last_line": 15 + }, + { + "source_id": "original-message-6278", + "first_line": 6278, + "last_line": 6278 + }, + { + "source_id": "original-message-6306", + "first_line": 6306, + "last_line": 6306 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "information_gain", + "verdict": "yes", + "reason": "A retention threshold of 0.84213 was stated before feedback. The valid 0.841600 result resolved that trial's observed-score decision against retention. It does not establish a repeatable runtime regression.", + "citations": [ + { + "source_id": "original-message-6297", + "first_line": 6297, + "last_line": 6297 + }, + { + "source_id": "native-report-11", + "first_line": 8, + "last_line": 15 + }, + { + "source_id": "original-message-6306", + "first_line": 6306, + "last_line": 6306 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "evidence_adoption", + "verdict": "yes", + "reason": "The preset retention rule was followed by a rollback statement and a later report that solution.py retains round 10 at 0.84213. This supports a reported interim retention outcome; file contents and terminal retention remain unverified.", + "citations": [ + { + "source_id": "original-message-6297", + "first_line": 6297, + "last_line": 6297 + }, + { + "source_id": "original-message-6306", + "first_line": 6306, + "last_line": 6306 + }, + { + "source_id": "original-message-6317", + "first_line": 6317, + "last_line": 6317 + } + ] + }, + { + "episode_id": "native-feedback-11", + "metric": "redundancy", + "verdict": "unknown", + "reason": "Distinct submission identities and a frozen-source statement do not reveal what changed from round 10. Without implementation differences or an explicit replication purpose, repetition cannot be determined.", + "citations": [ + { + "source_id": "released-native-inventory", + "first_line": 10, + "last_line": 11 + }, + { + "source_id": "original-message-6278", + "first_line": 6278, + "last_line": 6278 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "goal_alignment", + "verdict": "unknown", + "reason": "Root-key reuse, combined gradient/Hessian accumulation and feature-row reuse are described as upcoming experiments. The supplied excerpt does not establish that these were executed interventions in round 15 or document that candidate's bottleneck connection.", + "citations": [ + { + "source_id": "original-message-9103", + "first_line": 9103, + "last_line": 9103 + }, + { + "source_id": "original-message-9139", + "first_line": 9139, + "last_line": 9139 + }, + { + "source_id": "original-message-9183", + "first_line": 9183, + "last_line": 9183 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "benefit_test", + "verdict": "yes", + "reason": "Round 15 completed valid native evaluation on all ten splits and measured final score, quality and execution penalties. This directly tested native utility despite the incomplete intervention description.", + "citations": [ + { + "source_id": "native-report-15", + "first_line": 8, + "last_line": 15 + }, + { + "source_id": "native-report-15", + "first_line": 24, + "last_line": 35 + }, + { + "source_id": "native-report-15", + "first_line": 46, + "last_line": 60 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "discrimination", + "verdict": "unknown", + "reason": "The focused equivalence and timing experiments are explicitly prepared or future work. Their completed results are absent, and the native submission's implementation contrast is unspecified. The reported slowdown does not establish its cause.", + "citations": [ + { + "source_id": "original-message-9103", + "first_line": 9103, + "last_line": 9103 + }, + { + "source_id": "original-message-9183", + "first_line": 9183, + "last_line": 9183 + }, + { + "source_id": "original-message-9199", + "first_line": 9199, + "last_line": 9199 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "information_gain", + "verdict": "yes", + "reason": "The valid 0.841197 result supplied a new negative observed-score comparison against round 14's 0.845760. That informed the stated retention decision, while the explanation for longer runtime remained unresolved.", + "citations": [ + { + "source_id": "released-native-inventory", + "first_line": 14, + "last_line": 15 + }, + { + "source_id": "native-report-15", + "first_line": 8, + "last_line": 15 + }, + { + "source_id": "original-message-9199", + "first_line": 9199, + "last_line": 9199 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "evidence_adoption", + "verdict": "unknown", + "reason": "Rollback and local profiling are announced, but no restored-source outcome or completed profiling result follows in the supplied excerpt. Round 16's later score does not identify which feedback-linked action occurred.", + "citations": [ + { + "source_id": "original-message-9199", + "first_line": 9199, + "last_line": 9199 + }, + { + "source_id": "released-native-inventory", + "first_line": 16, + "last_line": 16 + } + ] + }, + { + "episode_id": "native-feedback-15", + "metric": "redundancy", + "verdict": "unknown", + "reason": "The proposed next experiments have distinct stated purposes, but they cannot be mapped to the already submitted round-15 source. 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a/examples/personal-workspace-browser/research-history-backend.py b/examples/personal-workspace-browser/research-history-backend.py index e1bcee84cf..3487e77173 100644 --- a/examples/personal-workspace-browser/research-history-backend.py +++ b/examples/personal-workspace-browser/research-history-backend.py @@ -158,6 +158,9 @@ def do_GET(self): metrics["analysis_reads"] += 1 language = query.get("output_language", ["original"])[0] record = capture["analysis_readbacks"].get(language) + if "pack_id" in query: + record = next((item for item in capture["analysis_readbacks"].values() + if query == parse_qs(urlparse(item["request_path"]).query)), None) if record and query.get("pack_id", [record["response"]["pack"]["pack_id"]]) == [record["response"]["pack"]["pack_id"]]: return self._send_json(record["response"]) elif path == "/api/chat/research-analysis/citation": diff --git a/examples/personal-workspace-browser/research-history.md b/examples/personal-workspace-browser/research-history.md index 00b77d207e..747c50b552 100644 --- a/examples/personal-workspace-browser/research-history.md +++ b/examples/personal-workspace-browser/research-history.md @@ -159,6 +159,30 @@ request identities. Other cited ranges return an explicit unavailable response; no transcript or failure stack is substituted. These analysis Goals have no Explore logs: their empty histories are preserved, separately from the recent real-history cases above. +The same fixture also freezes the original registered feedback snapshot, whose +native retention is unknown. Select it through **Evaluation scope / 评估范围**: +the best valid value remains `0.849544264387785` and the last valid candidate +remains `0.8485288027628158`, while initial and retained results stay unknown. +No retained-improvement value is supplied by that snapshot. Its saved 36 process +judgments and analysis usage are identical to the later declaration; neither +is rerun or relabeled. Switching scope and Back must restore each snapshot's own +native results, without borrowing a retained value from the other. The additional +original/Chinese/English responses are captured through the real read-only HTTP +owner and pinned independently. This is a reader regression, not independent +verification of the later provider's retention declaration. + +The packaged reader keeps the original snapshot's unknown retention visible +beside its measured best and final values. The narrow view below is scrolled to +that same result area; it preserves the same values and on-demand sources. + +![Original Graph snapshot, desktop](../../docs/development/assets/runtime-source-analysis/original-native-retention-desktop.png) + +![Original Graph snapshot, narrow result area](../../docs/development/assets/runtime-source-analysis/original-native-retention-mobile.png) + +The original snapshot includes the exact best/final native-result citations and +the same native-report-4 excerpt as the later snapshot. Other cited ranges return +an explicit unavailable response; no transcript, failure stack or other snapshot's +evidence is substituted. The selected Goal has no Explore log: its empty history is preserved. Pass `--fixture apps/presentation/dashboard/src/data/fixtures/edgebench-graph-saved-analysis.json` to the same read-only preview to inspect this case. All mutation verbs are denied. diff --git a/examples/personal-workspace-browser/research-real-benchmark.mjs b/examples/personal-workspace-browser/research-real-benchmark.mjs index 3474b76b34..2c2c0ca00c 100644 --- a/examples/personal-workspace-browser/research-real-benchmark.mjs +++ b/examples/personal-workspace-browser/research-real-benchmark.mjs @@ -61,16 +61,63 @@ async function readNativeResults(page, history, capture, language) { assert.equal(await history.locator("[data-analysis-judgment]").count(), 0); } await progress.locator(".research-progress-basis > summary").click(); + const name = pack.scope.case_id.split("_")[0]; for (const width of [1440, 390]) { await page.setViewportSize({width, height: 900}); await progress.scrollIntoViewIfNeeded(); assert.equal(await page.evaluate(() => document.documentElement.scrollWidth > innerWidth), false); - const name = pack.scope.case_id.split("_")[0]; await page.screenshot({path: resolve(outputDir, `research-real-native-${name}-${language}-${width}.png`), animations: "disabled"}); } await page.setViewportSize({width: 1440, height: 900}); } +async function readOriginalNativeSnapshot(page, history, capture, language) { + const initial = capture.analysis_readbacks.initial_original.response.pack; + const current = capture.analysis_readbacks.original.response.pack; + const progress = history.locator(".research-progress"); + const scope = progress.getByRole("combobox", {name: language === "zh" ? "评估范围" : "Evaluation scope"}); + const selectOriginal = async () => { + await scope.selectOption(initial.pack_id); + await progress.locator(`[data-pack-id="${initial.pack_id}"]`).waitFor(); + await history.locator('.research-analysis [data-analysis-judgment]').first().waitFor({state: "attached"}); + }; + await selectOriginal(); + for (const key of ["initial", "retained"]) { + const row = progress.locator(`[data-native-point="${key}"]`); + assert.match(await row.innerText(), language === "zh" ? /未知/ : /Unknown/); + assert.equal(await row.getByRole("button").count(), 0, "An absent native result is not borrowed from another snapshot"); + } + assert.match(await progress.locator('[data-native-point="best_valid"] button').getAttribute("aria-label"), /0\.849544264387785/); + assert.match(await progress.locator('[data-native-point="final_valid"] button').getAttribute("aria-label"), /0\.8485288027628158/); + assert.equal(await progress.locator("[data-retained-improvement]").count(), 0, "A best measurement does not supply missing retained improvement"); + assert.equal(await history.locator("[data-analysis-judgment]").count(), 36, "The same original process judgments remain available"); + const missing = history.locator('[data-analysis-episode="native-feedback-1"]'); + await missing.locator(":scope > summary").click(); + for (const detail of await missing.locator(".analysis-judgments > details").all()) { + if (!await detail.evaluate(element => element.open)) await detail.locator(":scope > summary").click(); + } + await missing.getByRole("button", {name: /native-report-1/}).first().click(); + const source = history.locator(".analysis-source"); + await source.locator(".analysis-error").waitFor(); + assert.equal(await source.locator("pre").count(), 0, "An uncaptured source is not borrowed from a different snapshot"); + await source.getByRole("button", {name: language === "zh" ? "关闭原文" : "Close source", exact: true}).click(); + await progress.locator('[data-native-point="best_valid"] button').click(); + await source.locator("pre").waitFor(); + assert.equal(JSON.parse(await source.locator("pre").innerText()).value, 0.849544264387785); + await source.getByRole("button", {name: language === "zh" ? "关闭原文" : "Close source", exact: true}).click(); + await page.goBack(); + await progress.locator(`[data-pack-id="${current.pack_id}"]`).waitFor(); + assert.match(await progress.locator("[data-retained-improvement]").innerText(), /\+0\.0323/); + await selectOriginal(); + for (const width of [1440, 390]) { + await page.setViewportSize({width, height: 900}); + await progress.scrollIntoViewIfNeeded(); + assert.equal(await page.evaluate(() => document.documentElement.scrollWidth > innerWidth), false); + await page.screenshot({path: resolve(outputDir, `research-real-graph-retention-unknown-${language}-${width}.png`), animations: "disabled"}); + } + await page.setViewportSize({width: 1440, height: 900}); +} + async function readUnanalyzedNativeResults(browser, collectCoverage) { const coverageEntries = []; for (const name of ["portfolio", "ad"]) { @@ -164,6 +211,7 @@ async function readSavedGraphAnalysis(browser, collectCoverage) { await page.screenshot({path: resolve(outputDir, `research-real-graph-analysis-${language}-${width}.png`), animations: "disabled"}); } await page.setViewportSize({width: 1440, height: 900}); + await readOriginalNativeSnapshot(page, history, capture, language); } const readback = await (await page.request.get(`${owner.base}/fixture/readback`)).json(); assert.equal(readback.source_unchanged, true); diff --git a/tests/presentation/test_research_history_fixture.py b/tests/presentation/test_research_history_fixture.py index 77e414f3d8..9c991f8ce4 100644 --- a/tests/presentation/test_research_history_fixture.py +++ b/tests/presentation/test_research_history_fixture.py @@ -105,6 +105,9 @@ def read(path): "original": "0e4bb4b931784abe1faf8cba49922aeb36f6c96f9e1730fdc77d82e7ebd3da2f", "zh": "cb8fdf1a61915f06168816c82367e9d037bdf49424028cd2793dfe61364def64", "en": "d76b579672d87f8b071d871ecfd5797b986f295b8dc93bc967471c0e1aab0b2b", + "initial_original": "7b68615db558732a9a78b4d83befcb3e31d92840f4d4944c37f5589288fcfcd2", + "initial_zh": "be0621f5d24cc61a9717611caf7b0ef89c7acdfc5eb03da0d763da7a1c87e531", + "initial_en": "c44c78a2404ea55183a42d3ae1c2e08b90920666b49f159d8f841a84d8f5a4da", }, "edgebench-portfolio-native-results.json": { "original": "b33ebfcc7c233f8cf87b70e23b3bc76e34d5b91b8fcf11393e532afa9597b717", @@ -145,6 +148,17 @@ def read(path): assert "solver_usage" not in view and not events for citation in capture["analysis_citations"]: assert read(citation["request_path"]) == citation["response"] + citation = capture["analysis_citations"][0] + if fixture_name == "edgebench-graph-saved-analysis.json": + initial = read(capture["analysis_readbacks"]["initial_original"]["request_path"])["pack"] + initial_native = initial["native_outcomes"]["projection"] + assert initial_native["retained"] is None and initial_native["initial"] is None + assert "retained_improvement" not in initial_native + assert initial_native["best_valid"]["candidate_ref"] == "agent-16" + assert initial_native["final_valid"]["candidate_ref"] == "agent-18" + assert initial["result"] == view["result"] + assert initial["job"] == view["job"] + assert read(citation["request_path"]) == citation["response"] for query in [ {"output_language": "fr"}, {"pack_id": "wrong-pack"}, ]: