{"as_of":"2026-08-09T16:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:303588810d420579e315171ab0d48e2d5778b8507090985ef3db2105aa13e7ac","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:34:33.631283Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T00:23:28.838115Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T15:37:07.048796Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2510.18184","last_updated":"2026-05-11T08:31:20Z","snapshot_observed_at":"2026-07-31T15:57:08.848227Z","submitted_at":"2025-10-21T00:21:04Z","title":"ActivationReasoning: Logical Reasoning in Latent Activation Spaces","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T05:43:45.863209Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2510.18184"},"observation_digest":"sha256:db5844b1c89a2ee375405129580241efea904815d17becd702b7d07cfdff2907","observation_id":"02f7f598-a4cc-41c7-948d-5351e9db50ef","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2511.01680","last_updated":"2026-07-15T14:09:50Z","snapshot_observed_at":"2026-08-04T00:23:23.110922Z","submitted_at":"2025-11-03T15:42:32Z","title":"Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-18T01:56:50.978054Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2511.01680"},"observation_digest":"sha256:ede7cb72529d75efdd0cf395d3da584b2026c1cfabbd453281d650dcde48a44a","observation_id":"5c89f946-0e9d-4d34-84ff-a06553e1c2de","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-08-04T00:23:28.838115Z","title":"Use Sparse Autoencoders to Discover Unknown Concepts , Not to Act on Known Concepts , 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.01680","last_updated":"2026-07-15T14:09:50Z","snapshot_observed_at":"2026-08-04T00:23:23.110922Z","submitted_at":"2025-11-03T15:42:32Z","title":"Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach","version":4},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T00:23:28.838115Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2511.01680"},"observation_digest":"sha256:40d711a7b302b9413a51451fd70cdc7501a6ee8a90910e2466aa39458ec903b9","observation_id":"4a02ddf9-c07b-4772-9a93-520cadf6fc47","resolution":{"observed_at":"2026-08-04T00:23:28.838115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-14T20:33:57.341112Z","title":"arXiv preprint arXiv:2506.23845 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.15245","last_updated":"2026-07-07T19:17:25Z","snapshot_observed_at":"2026-08-06T20:50:46.301615Z","submitted_at":"2026-03-16T13:16:06Z","title":"Practicing with Language Models Cultivates Human Empathic Communication","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-14T20:33:57.341112Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2603.15245"},"observation_digest":"sha256:5668dec2336375201f41caacf631ac07daa804d13dee48d807444efae1b42944","observation_id":"a4d18132-aefc-4179-b9b0-3409402436bd","resolution":{"observed_at":"2026-07-14T20:33:57.341112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2605.12991","last_updated":"2026-05-16T19:42:13Z","snapshot_observed_at":"2026-07-06T23:24:37.915639Z","submitted_at":"2026-05-13T04:45:08Z","title":"Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-14T20:04:57.638215Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2605.12991"},"observation_digest":"sha256:a8505b5ba8c7131ebdb66253632056c741d11930ba04385de9c946245306b63d","observation_id":"4f407dba-9297-49bd-b2ad-146cea760c41","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2605.12991","last_updated":"2026-05-16T19:42:13Z","snapshot_observed_at":"2026-07-06T23:24:37.915639Z","submitted_at":"2026-05-13T04:45:08Z","title":"Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-20T21:30:30.384184Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2605.12991"},"observation_digest":"sha256:3117aac956e63d469a4b002a00b37c0116ff83a31627a584f2a5d5903d89104c","observation_id":"bfdeff83-9bd5-4f1a-9fe1-65bc3175b894","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2606.03029","last_updated":"2026-06-02T02:07:46Z","snapshot_observed_at":"2026-08-07T03:02:33.642737Z","submitted_at":"2026-06-02T02:07:46Z","title":"Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-28T10:46:13.006992Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2606.03029"},"observation_digest":"sha256:44148b9059fd296d2ab0472ba4707d86e182ca52de0e23943dd03bb792649f6c","observation_id":"fe81ce77-05de-4b15-bbea-4e270fe6b83d","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"cited_work":{"arxiv_id":"2506.23845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23845","snapshot_observed_at":"2026-07-07T02:18:25.475903Z","title":"Use sparse autoencoders to discover unknown concepts, not to act on known concepts.arXiv preprint arXiv:2506.23845","venue":null,"work_id":"e16db455-1d69-423a-9c23-4f7b94a249b4","year":2025},"citing_paper":{"arxiv_id":"2606.05750","last_updated":"2026-06-04T06:23:41Z","snapshot_observed_at":"2026-08-02T13:00:09.407397Z","submitted_at":"2026-06-04T06:23:41Z","title":"Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T23:41:38.200349Z"},"links":{"cited_paper":"/paper/2506.23845","citing_paper":"/paper/2606.05750"},"observation_digest":"sha256:0f2eb7fc9c4bb661baf3a230ac2f2fd7969a4934dbe286ca22cbe6b8ba73b1ec","observation_id":"783f5120-b894-47e9-bea2-b97809e2a5f9","resolution":{"observed_at":"2026-07-07T02:18:25.475903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.23845/citation-record","integrity":"/paper/2506.23845/integrity","json":"/paper/2506.23845/citation-record.json","paper":"/paper/2506.23845"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.19278","last_updated":"2024-11-02T23:02:44Z","snapshot_observed_at":"2026-07-06T19:39:28.707989Z","submitted_at":"2024-10-25T03:21:14Z","title":"Applying sparse autoencoders to unlearn knowledge in language models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19278","snapshot_observed_at":"2026-08-06T21:34:33.012045Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.012045Z"},"links":{"cited_paper":"/paper/2410.19278","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:806068ac37e53036d6d8dae9ea6b89802067ec15cd813ca4b638aad2963e451f","observation_id":"aff77032-7b38-4df5-8127-889103f6c7a1","resolution":{"observed_at":"2026-08-06T21:34:33.012045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16681","last_updated":"2025-02-23T18:54:15Z","snapshot_observed_at":"2026-08-07T17:54:50.710564Z","submitted_at":"2025-02-23T18:54:15Z","title":"Are Sparse Autoencoders Useful? A Case Study in Sparse Probing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-06T21:34:33.225648Z","title":"Kantamneni, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.225648Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:15628a4cf61ab0e3c5e07c497062138cd6e3164a3485b8f4d41eb06d6c1faca1","observation_id":"51d94de3-a079-41be-965e-73ec387a1a71","resolution":{"observed_at":"2026-08-06T21:34:33.225648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:33.438821Z","title":"doi: 10.18653/v1/2021.nuse-1.5","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.438821Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:4fbf75da5b174bb771d2f8404f001bc3a45e01a76a077f209d7935de945103a9","observation_id":"fc6c1c5a-b1ba-4c19-b0bd-eee994a6b93e","resolution":{"observed_at":"2026-08-06T21:34:33.438821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17148","last_updated":"2025-03-03T21:15:30Z","snapshot_observed_at":"2026-08-07T21:53:39.823463Z","submitted_at":"2025-01-28T18:51:24Z","title":"AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.17148","snapshot_observed_at":"2026-08-06T21:34:33.631283Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.631283Z"},"links":{"cited_paper":"/paper/2501.17148","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:1efa8b9efbd0bbeaa4ad1c91e8b153c6bff1655d1cb22a00c3ab2c62660225d0","observation_id":"686e0ed0-7129-44b5-add7-9373dae8b45e","resolution":{"observed_at":"2026-08-06T21:34:33.631283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/10-s","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:33.749091Z","title":"URL https://doi.org/10.1214/10-STS330","venue":null,"work_id":"a6353bdb-e61c-4224-bf8c-863027408dd2","year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.574840Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:8b7141ad83d2b79acad5fdbeb4863607d39662e6e1955c997a8a9eea9757c4ec","observation_id":"76c31ea0-f8ce-4f69-b121-1acd8230bafc","resolution":{"observed_at":"2026-08-06T21:34:33.821075Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16496","last_updated":"2025-01-27T20:57:18Z","snapshot_observed_at":"2026-07-06T20:27:04.664873Z","submitted_at":"2025-01-27T20:57:18Z","title":"Open Problems in Mechanistic Interpretability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16496","snapshot_observed_at":"2026-08-06T21:34:33.494081Z","title":"Sharkey, B","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.494081Z"},"links":{"cited_paper":"/paper/2501.16496","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:59598817108e42b8be24a0ca2646606f7519548af2e403d1f59e13be3d94ed94","observation_id":"1dd42544-8ad2-47ff-8e75-92947e5ea738","resolution":{"observed_at":"2026-08-06T21:34:33.494081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:34.397173Z","title":"Lakkaraju, E","venue":null,"work_id":"3d7168db-15ff-4cb0-8150-d29544a4f78b","year":2019},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.271278Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:6431591e35cd4c761435539a793bc05b8a5791401324580132a3f4e67ce0e8f2","observation_id":"1eae202c-ff10-4ee5-920c-443a6b3a9485","resolution":{"observed_at":"2026-08-06T21:34:34.456080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05342","last_updated":"2020-11-29T03:40:45Z","snapshot_observed_at":"2026-07-06T07:45:18.053726Z","submitted_at":"2019-04-10T17:53:13Z","title":"ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.05342","snapshot_observed_at":"2026-08-06T21:34:33.136653Z","title":"Huang, J","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.136653Z"},"links":{"cited_paper":"/paper/1904.05342","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:33a7fdc0cb9731bca5c0d9d2c3237d368c4b03e83ed5920f2de33ec04c6e87bb","observation_id":"383e8f1d-64a1-4b41-a70e-adb095152a5d","resolution":{"observed_at":"2026-08-06T21:34:33.136653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:34.551200Z","title":null,"venue":null,"work_id":"7767b323-20c5-4c3c-8497-e4a6480d7967","year":2017},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:32.765854Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:942947f5a85ffa0fc5d578ac709a264047d49eecabdec921cecddfdaa9ce4a7d","observation_id":"818aeebe-7d25-46eb-8fde-c25e0cb98757","resolution":{"observed_at":"2026-08-06T21:34:34.611963Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18133","last_updated":"2026-07-03T08:08:15Z","snapshot_observed_at":"2026-08-06T23:20:41.526673Z","submitted_at":"2025-06-22T18:36:13Z","title":"Aggregated Individual Reporting for Post-Deployment Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.18133","snapshot_observed_at":"2026-08-06T21:34:32.883319Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:32.883319Z"},"links":{"cited_paper":"/paper/2506.18133","citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:433bd44797f59c1d0c871ff74d345658d46d9d273f340a4f38ba6475a76f1f25","observation_id":"54227477-0cab-41df-979a-09225b22d155","resolution":{"observed_at":"2026-08-06T21:34:32.883319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:32.717619Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:32.717619Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:fde28adbfa6f3a0552434e1979f352aa1cbfe227276ffe742618c91a7ac0d5a0","observation_id":"f9add145-5007-4f88-9813-b0a3b0603be2","resolution":{"observed_at":"2026-08-06T21:34:32.717619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:34:34.215710Z","title":null,"venue":null,"work_id":"e320b0e6-3235-4527-b095-6faca2a809ae","year":2025},"citing_paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T21:34:33.371976Z"},"links":{"citing_paper":"/paper/2506.23845"},"observation_digest":"sha256:8322ea9c9cee918069f70afcdb5c99be87ade83c1a2b53168031ea421c9288dc","observation_id":"e36b6e37-fcbf-493d-a596-48b3638ea18c","resolution":{"observed_at":"2026-08-06T21:34:34.271837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.23845","last_updated":"2026-07-04T18:58:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T16:55:54.886065Z","submitted_at":"2025-06-30T13:35:56Z","title":"Position: Use Sparse Autoencoders to Discover Unknowns"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":12},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 8 inbound Pith citation observations for arXiv:2506.23845."}