{"as_of":"2026-08-08T03:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8adf8a661fcfe6cc623c3411fa9bbaf1e8d43a4dfd4dcd6b8a1be796f163219b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:19:41.574862Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2503.11926","last_updated":"2025-03-14T23:50:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-14T23:50:34Z","title":"Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T07:24:12.845841Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2503.11926"},"observation_digest":"sha256:f87b78602ba94e608610966cb112717160063f9415aa562b0de869a358609f4f","observation_id":"e7e4bd28-d7fd-4153-b97a-de29019a3d39","resolution":{"observed_at":"2026-05-21T07:24:12.939349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2503.16771","last_updated":"2026-04-12T13:23:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-21T01:00:45Z","title":"Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-22T23:41:22.017848Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2503.16771"},"observation_digest":"sha256:4abd252411eb5f3ecae2d0da4e702644d54e19737047dac220c65d7b49c0398c","observation_id":"8e6d4a98-a57d-40cc-92fd-d0c0588f4334","resolution":{"observed_at":"2026-05-22T23:42:16.155459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-07T10:19:41.574862Z","title":"Towards faithfully interpretable nlp sys- tems: How should we define and evaluate faithfulness?","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.05614","last_updated":"2025-06-05T21:58:44Z","snapshot_observed_at":"2026-08-07T10:11:28.444213Z","submitted_at":"2025-06-05T21:58:44Z","title":"Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:41.574862Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2506.05614"},"observation_digest":"sha256:4f3be0783f61d3f57490a12e5b0dd9a85c3984e91ae08ae4526a8ff6ed622628","observation_id":"a8de6399-abc5-4603-904f-40bdfb6337e9","resolution":{"observed_at":"2026-08-07T10:19:41.574862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-06T22:03:53.317192Z","title":"and Goldberg, Y","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.22777","last_updated":"2025-07-13T15:36:35Z","snapshot_observed_at":"2026-08-06T21:55:34.287424Z","submitted_at":"2025-06-28T06:37:10Z","title":"Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:03:53.317192Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2506.22777"},"observation_digest":"sha256:fb402cb4867d7619a80302a1569fc5e9a9fe68b189d0bc00bf904cb59aaf9ae1","observation_id":"34491400-e581-485d-9654-5ade983b4683","resolution":{"observed_at":"2026-08-06T22:03:53.317192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T13:25:33.637399Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.00646","last_updated":"2025-08-31T00:54:57Z","snapshot_observed_at":"2026-08-05T13:25:31.839412Z","submitted_at":"2025-08-31T00:54:57Z","title":"RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:33.637399Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2509.00646"},"observation_digest":"sha256:014b25de13ccddf88743d3e2f7a84fa034f7cc2b26a4b87e3bfc7bee381f821a","observation_id":"d83e7198-c038-4bfa-bf77-24b97957efa9","resolution":{"observed_at":"2026-08-05T13:25:33.637399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T10:53:13.494046Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.03626","last_updated":"2025-09-03T18:29:30Z","snapshot_observed_at":"2026-08-06T09:55:44.881558Z","submitted_at":"2025-09-03T18:29:30Z","title":"Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-08-05T10:53:13.494046Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2509.03626"},"observation_digest":"sha256:e574664525e04ce3372325f8540d41b6369d4e644277ffc870c7b2fa50086ffb","observation_id":"f3aa93a4-2d37-401b-8c92-6ad315cc6e44","resolution":{"observed_at":"2026-08-05T10:53:13.494046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-03T11:13:02.901696Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.07233","last_updated":"2026-01-12T06:09:14Z","snapshot_observed_at":"2026-08-07T23:31:50.190946Z","submitted_at":"2026-01-12T06:09:14Z","title":"From \"Thinking\" to \"Justifying\": Aligning High-Stakes Explainability with Professional Communication Standards","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-03T11:13:02.901696Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2601.07233"},"observation_digest":"sha256:4543ec0e2ada83eced3e44cd20cb84b86c5cb37dd2faee2f0bcdaaa598c85c0c","observation_id":"814a0102-71c3-49a0-b3bd-18fdf7068476","resolution":{"observed_at":"2026-08-03T11:13:02.901696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2604.16158","last_updated":"2026-04-17T15:27:35Z","snapshot_observed_at":"2026-08-02T08:13:50.306987Z","submitted_at":"2026-04-17T15:27:35Z","title":"AtManRL: Towards Faithful Reasoning via Differentiable Attention Saliency","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T08:08:50.330857Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2604.16158"},"observation_digest":"sha256:0935aa2186115ad311f08275790072681bc8293f214351d305d208d1b9c7cc4c","observation_id":"61670a5b-28e9-4d2a-8f8d-3fa2f17dfc43","resolution":{"observed_at":"2026-05-10T08:22:37.726609Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.12809","last_updated":"2026-05-12T23:01:29Z","snapshot_observed_at":"2026-07-06T23:24:27.821980Z","submitted_at":"2026-05-12T23:01:29Z","title":"Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces","version":1},"reference_index":174,"source":"arxiv_source","source_observed_at":"2026-05-14T20:17:01.224864Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.12809"},"observation_digest":"sha256:ed5f1cab372f5f2d5aa66bf22796df9b2d0a35a494a1bad3a28c7f5cec2da482","observation_id":"d6c65d18-85e5-4de8-91b8-fec4ad490dd9","resolution":{"observed_at":"2026-05-14T20:17:54.126904Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.16117","last_updated":"2026-05-15T16:02:09Z","snapshot_observed_at":"2026-08-02T10:10:29.117554Z","submitted_at":"2026-05-15T16:02:09Z","title":"SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-20T18:56:42.603682Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.16117"},"observation_digest":"sha256:8ebe797c7634b93828b0bd72d7691b4be6eb8801563534299b4c995440dcf965","observation_id":"4aee0039-dc1a-42e9-97d0-00ff4f233e28","resolution":{"observed_at":"2026-05-20T18:58:53.903254Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.17562","last_updated":"2026-05-17T17:47:00Z","snapshot_observed_at":"2026-08-05T23:37:23.947070Z","submitted_at":"2026-05-17T17:47:00Z","title":"Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-20T13:49:49.319444Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.17562"},"observation_digest":"sha256:1676bf790029c9fba22f1ddff29edc5b57af88be4db08471f38cf23d9f18ef35","observation_id":"8b77968e-2eb4-4a96-9a8c-932c86d39fb6","resolution":{"observed_at":"2026-05-20T13:53:19.780963Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.18660","last_updated":"2026-05-18T17:08:10Z","snapshot_observed_at":"2026-07-06T23:29:29.105126Z","submitted_at":"2026-05-18T17:08:10Z","title":"Evaluating Multi-turn Human-AI Interaction","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-05-20T08:33:08.019966Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.18660"},"observation_digest":"sha256:63e5954c35011a69f351ff7196e54d42d94ef8f580feb326b2db3d7d3ad3baed","observation_id":"06e4df51-5246-48c5-ab27-3a121c5044e6","resolution":{"observed_at":"2026-05-20T08:33:24.502547Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.21849","last_updated":"2026-05-21T00:46:01Z","snapshot_observed_at":"2026-08-03T04:39:11.733198Z","submitted_at":"2026-05-21T00:46:01Z","title":"Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-22T08:14:58.183289Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.21849"},"observation_digest":"sha256:daced6683011a4547bfcea14faf1a2bd08a6eddcab1d3908c33e92a65a851668","observation_id":"08092af8-adb8-449b-ae85-a6b8f5f4a5ee","resolution":{"observed_at":"2026-05-22T08:16:16.171224Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2605.27879","last_updated":"2026-05-27T02:56:30Z","snapshot_observed_at":"2026-07-06T23:37:31.844094Z","submitted_at":"2026-05-27T02:56:30Z","title":"Towards Faithful Agentic XAI: A Verification Method and an Open-World Benchmark for Better Model Faithfulness","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T13:23:32.865797Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2605.27879"},"observation_digest":"sha256:edbfb59b90a4e6495f3b55608e6e24257ae6161daae16c6f88f3664093378103","observation_id":"bf1de9a5-9280-4bf8-a9b9-9da15cea9f88","resolution":{"observed_at":"2026-06-29T13:33:28.518212Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2606.04454","last_updated":"2026-06-03T04:58:02Z","snapshot_observed_at":"2026-07-06T23:44:33.095008Z","submitted_at":"2026-06-03T04:58:02Z","title":"Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-28T06:50:34.916332Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2606.04454"},"observation_digest":"sha256:287cd859523e120020b4010860293b066d19049676af9343ef1e27b83023a9c5","observation_id":"a9a9feff-ff7f-41b0-932c-c00b9985c9ef","resolution":{"observed_at":"2026-07-02T07:36:45.033044Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":"2004.03685","doi":"10.48550/arxiv.2004.03685","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards faithfully interpretable nlp systems: How should we define and evaluate faithfulness?","venue":"arXiv (Cornell University)","work_id":"32231048-c417-4533-bbe9-eab54922ae9f","year":2004},"citing_paper":{"arxiv_id":"2606.27274","last_updated":"2026-06-27T09:56:16Z","snapshot_observed_at":"2026-07-07T00:01:29.987067Z","submitted_at":"2026-06-25T16:51:53Z","title":"BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media","version":1},"reference_index":162,"source":"arxiv_source","source_observed_at":"2026-06-26T05:18:36.311573Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2606.27274"},"observation_digest":"sha256:39720473de0b9c30f76e20a0ccc559818a6c5fd504736dc22d8ae9e96a1f8149","observation_id":"eeb25dee-4f62-4296-a873-d0bc47cdaaf2","resolution":{"observed_at":"2026-07-04T13:19:50.834040Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T09:52:43.877677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-01T08:36:20.018806Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.21090","last_updated":"2026-07-23T09:20:38Z","snapshot_observed_at":"2026-08-06T22:04:57.750051Z","submitted_at":"2026-07-23T09:20:38Z","title":"Training Large Language Models for Self-Explanation Faithfulness","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T08:36:20.018806Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2607.21090"},"observation_digest":"sha256:8940579c3bb2f6a72b8ff0e01f4f15291a43d3a803c94227254eadf4dc6cc695","observation_id":"e6dda2d9-e21e-44c8-aa5a-8140c196a689","resolution":{"observed_at":"2026-08-01T08:36:20.018806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03685","snapshot_observed_at":"2026-08-01T08:36:25.926829Z","title":"arXiv preprint arXiv:2004.03685 , year=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.21090","last_updated":"2026-07-23T09:20:38Z","snapshot_observed_at":"2026-08-06T22:04:57.750051Z","submitted_at":"2026-07-23T09:20:38Z","title":"Training Large Language Models for Self-Explanation Faithfulness","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-01T08:36:25.926829Z"},"links":{"cited_paper":"/paper/2004.03685","citing_paper":"/paper/2607.21090"},"observation_digest":"sha256:aecd23ae3862d0c5a65894f22032568fc70406c087098f6861d57008f49b66a5","observation_id":"cf7b9120-3891-4c8d-9f4e-f7fed7aec933","resolution":{"observed_at":"2026-08-01T08:36:25.926829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2004.03685/citation-record","integrity":"/paper/2004.03685/integrity","json":"/paper/2004.03685/citation-record.json","paper":"/paper/2004.03685"},"outbound":[],"paper":{"arxiv_id":"2004.03685","last_updated":"2020-04-27T20:44:37Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T09:10:46.033625Z","submitted_at":"2020-04-07T20:15:28Z","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2004.03685."}