{"as_of":"2026-08-08T10:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8b04c8ca41777c0bfa5715fb16bb6f0f0fda259f9f689cfe3bd3eb71cf998a72","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":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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:44:42.625025Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"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":"2026-08-07T14:44:42.625025Z","title":"Are sparse autoencoders useful? a case study in sparse probing.arXiv preprint arXiv:2502.16681,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17769","last_updated":"2025-06-12T11:54:13Z","snapshot_observed_at":"2026-08-07T14:38:57.946096Z","submitted_at":"2025-05-23T11:41:41Z","title":"Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models","version":2},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:42.625025Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2505.17769"},"observation_digest":"sha256:1e4b3d35f0a83df12f95a997c3c47a2ddeabb3c282e667b0d4c7684d1c46c9f0","observation_id":"65bad93b-77de-4a8e-b1ae-a764b8847d95","resolution":{"observed_at":"2026-08-07T14:44:42.625025Z","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":"2026-08-07T14:42:11.515244Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17998","last_updated":"2025-05-23T15:03:51Z","snapshot_observed_at":"2026-08-07T14:34:42.149071Z","submitted_at":"2025-05-23T15:03:51Z","title":"TRACE for Tracking the Emergence of Semantic Representations in Transformers","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:42:11.515244Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2505.17998"},"observation_digest":"sha256:10415c0a79dd0c9a52fd1febe5f7a16a17a7f0f92a843095bacb5aaf60747f94","observation_id":"a7b3033b-cf0f-4785-b843-37bdeb121de3","resolution":{"observed_at":"2026-08-07T14:42:11.515244Z","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":"2026-08-07T10:40:14.248537Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.04774","last_updated":"2025-06-05T09:06:59Z","snapshot_observed_at":"2026-08-07T13:35:59.954309Z","submitted_at":"2025-06-05T09:06:59Z","title":"Fine-Grained Interpretation of Political Opinions in Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T10:40:14.248537Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2506.04774"},"observation_digest":"sha256:492cbec2d622920ba5c5d149c9ad0001d20e657752bc96502df6f5c90b7d112c","observation_id":"cdd31f6d-49f1-4d16-9774-5f9653068ac4","resolution":{"observed_at":"2026-08-07T10:40:14.248537Z","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":"2026-08-06T23:03:04.969024Z","title":"Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, and Tolga Bolukbasi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.20040","last_updated":"2026-06-09T21:19:14Z","snapshot_observed_at":"2026-08-06T22:55:38.353499Z","submitted_at":"2025-06-24T22:43:36Z","title":"Cross-Layer Discrete Concept Discovery for Interpreting Language Models","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:03:04.969024Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2506.20040"},"observation_digest":"sha256:8c48a960f0f25103723171fa14d506cffda97804cf2eddbc1d3a5189694435c4","observation_id":"d1d05748-dbe8-4555-92b9-b0b5554f5658","resolution":{"observed_at":"2026-08-06T23:03:04.969024Z","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":"2026-08-06T22:02:24.950097Z","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:b3af813c2b9c41aa5f55ba3e48de89496c068b9e920300d916f79b46a12e3d14","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":{"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":"2026-08-06T20:07:55.775544Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03668","last_updated":"2025-07-04T15:42:51Z","snapshot_observed_at":"2026-08-07T03:29:23.574462Z","submitted_at":"2025-07-04T15:42:51Z","title":"TRACE: Training and Inference-Time Interpretability Analysis for Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T20:07:55.775544Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2507.03668"},"observation_digest":"sha256:50dd7e949aa4ff6848ae9134dea7ae4428bfef41e946eb5d7d217b00f884dbf1","observation_id":"cba08f89-bf75-4dc6-95b1-2c0f770e5b7b","resolution":{"observed_at":"2026-08-06T20:07:55.775544Z","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":"2026-08-06T17:46:18.929519Z","title":"Are sparse autoencoders useful? a case study in sparse probing, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.10106","last_updated":"2025-07-14T09:45:34Z","snapshot_observed_at":"2026-08-07T07:18:38.132008Z","submitted_at":"2025-07-14T09:45:34Z","title":"BlueGlass: A Framework for Composite AI Safety","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T17:46:18.929519Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2507.10106"},"observation_digest":"sha256:2d213f7f3bdc98fb96524734132c2654a65638570b35535a05fa180d3513c872","observation_id":"0afec4d0-01ee-444b-bdd3-993b6fcbf964","resolution":{"observed_at":"2026-08-06T17:46:18.929519Z","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":"2026-08-05T17:18:55.289843Z","title":"Are sparse autoencoders useful? a case study in sparse probing.arXiv preprint arXiv:2502.16681,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.16560","last_updated":"2026-07-07T00:22:17Z","snapshot_observed_at":"2026-08-05T17:18:51.196119Z","submitted_at":"2025-08-22T17:26:33Z","title":"Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T17:18:55.289843Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2508.16560"},"observation_digest":"sha256:a582c32a83dd469b61ced6239c5399bfa772c176c8abf1ccf72f762217558f09","observation_id":"85e4a851-3abf-439e-8848-9eda8427f7e1","resolution":{"observed_at":"2026-08-05T17:18:55.289843Z","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":"2026-08-02T23:22:38.310667Z","title":"Are sparse autoencoders useful? a case study in sparse probing.arXiv preprint arXiv:2502.16681,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.14161","last_updated":"2026-07-19T13:10:02Z","snapshot_observed_at":"2026-08-08T04:45:44.090544Z","submitted_at":"2026-02-15T14:21:43Z","title":"When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-02T23:22:38.310667Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2602.14161"},"observation_digest":"sha256:dc90ebebc249a2966bb6fbced0f7774ee6f02c8694a3354aed4e210326f97670","observation_id":"1793219f-8e9a-45c2-92fe-72f3cf5535db","resolution":{"observed_at":"2026-08-02T23:22:38.310667Z","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":"2026-08-02T23:11:40.793678Z","title":"unknown unknowns","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.14687","last_updated":"2026-07-13T02:33:14Z","snapshot_observed_at":"2026-08-04T20:38:03.860971Z","submitted_at":"2026-02-16T12:22:00Z","title":"SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data","version":2},"reference_index":8856,"source":"pdf_text","source_observed_at":"2026-08-02T23:11:40.793678Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2602.14687"},"observation_digest":"sha256:570ca2a9588f14d2050e208e124cc011f92c51f323a8a278075c15b945cd52cb","observation_id":"81639659-36af-4a6f-86d8-d32d98d9d57e","resolution":{"observed_at":"2026-08-02T23:11:40.793678Z","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":"2026-08-02T18:56:19.392090Z","title":"11 Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, and Lee Sharkey","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.04198","last_updated":"2026-06-16T16:00:25Z","snapshot_observed_at":"2026-08-06T05:44:40.584997Z","submitted_at":"2026-03-04T15:46:23Z","title":"Stable and Steerable Sparse Autoencoders with Weight Regularization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T18:56:19.392090Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2603.04198"},"observation_digest":"sha256:8c72ebab672695bf496f01492f0099d3c44849af43ef32206deb34eb3a8db298","observation_id":"3716bb98-38c8-4b06-829f-60bbae3c630d","resolution":{"observed_at":"2026-08-02T18:56:19.392090Z","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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2604.06495","last_updated":"2026-04-07T21:56:23Z","snapshot_observed_at":"2026-07-06T22:54:57.597183Z","submitted_at":"2026-04-07T21:56:23Z","title":"Improving Robustness In Sparse Autoencoders via Masked Regularization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T18:47:15.830063Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2604.06495"},"observation_digest":"sha256:7235979f5916804baf681245736e12142c30198abf908eea8dfb6d4d9b44420a","observation_id":"fce7c09f-e98b-4597-8bbe-d3cd6fc84864","resolution":{"observed_at":"2026-05-10T23:55:51.673015Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2604.13386","last_updated":"2026-04-15T01:21:52Z","snapshot_observed_at":"2026-08-05T12:34:21.297414Z","submitted_at":"2026-04-15T01:21:52Z","title":"Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T13:50:14.400797Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2604.13386"},"observation_digest":"sha256:873bf011a677fdc1e0c928c2505b1bae719d0faf5e2d1552cdf13ab72172675b","observation_id":"335b13b9-1b4b-447e-a59d-cd3923e027fe","resolution":{"observed_at":"2026-05-10T14:10:29.180214Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2605.01048","last_updated":"2026-05-01T19:23:33Z","snapshot_observed_at":"2026-07-06T23:14:20.123289Z","submitted_at":"2026-05-01T19:23:33Z","title":"Compared to What? Baselines and Metrics for Counterfactual Prompting","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-09T19:02:46.991897Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2605.01048"},"observation_digest":"sha256:bbd677783d9bf0e1cc3b4bba5592393cc7dd59dd95d440421deef0108c370bb3","observation_id":"683f61aa-b164-45c6-916a-6b3d51d7990e","resolution":{"observed_at":"2026-05-09T19:05:10.436243Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2605.08936","last_updated":"2026-05-09T13:14:31Z","snapshot_observed_at":"2026-07-06T23:21:06.773761Z","submitted_at":"2026-05-09T13:14:31Z","title":"Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-12T02:07:04.364417Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2605.08936"},"observation_digest":"sha256:07877275cdca2da2a3aad67efc4afc538011acd0a4ebd44da624f7a974f42e9b","observation_id":"5c34db1f-fee8-448f-b5cc-4523cf656f2d","resolution":{"observed_at":"2026-05-12T02:11:16.215288Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2605.12874","last_updated":"2026-05-13T01:41:38Z","snapshot_observed_at":"2026-07-06T23:24:32.412966Z","submitted_at":"2026-05-13T01:41:38Z","title":"Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-14T20:27:38.363693Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2605.12874"},"observation_digest":"sha256:b7fc8b47ad08e24be54e802a32cbc0c9bcf75dfe1ab012a7dc72714aef29544c","observation_id":"5ea652ba-f03c-46a7-b7a2-5b2c7f4a318e","resolution":{"observed_at":"2026-05-14T20:27:58.959480Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2605.18229","last_updated":"2026-05-18T11:20:57Z","snapshot_observed_at":"2026-08-02T06:59:50.853862Z","submitted_at":"2026-05-18T11:20:57Z","title":"Are Sparse Autoencoder Benchmarks Reliable?","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T12:43:13.014365Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2605.18229"},"observation_digest":"sha256:a5ae6541dfdb82424c90f8a3b1d8316770a4e4353582df2b0f26d8a2be5e05b0","observation_id":"bffda916-ac55-4f8e-9127-b350ee8dee64","resolution":{"observed_at":"2026-05-20T12:43:16.825118Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2502.16681","doi":"10.48550/arxiv.2502.16681","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16681","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Are sparse autoencoders useful? a case study in sparse probing","venue":"ArXiv.org","work_id":"08bc3156-d341-470b-9a93-ca868e75f122","year":2025},"citing_paper":{"arxiv_id":"2606.11722","last_updated":"2026-06-10T06:53:58Z","snapshot_observed_at":"2026-08-02T23:00:11.313609Z","submitted_at":"2026-06-10T06:53:58Z","title":"ICA Lens: Interpreting Language Models Without Training Another Dictionary","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T10:21:58.878499Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2606.11722"},"observation_digest":"sha256:ab9d8c77602ebe5a1d687169e5008f2c2302fab9e3b075260eab4c3d6daf0d96","observation_id":"d3b088b6-eb29-49e9-8ded-5be59d8a0083","resolution":{"observed_at":"2026-07-03T09:37:49.257469Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-07-14T10:42:30.055074Z","title":"Are sparse autoencoders useful? a case study in sparse probing.arXiv preprint arXiv:2502.16681,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10578","last_updated":"2026-07-12T05:28:48Z","snapshot_observed_at":"2026-08-05T20:21:31.986400Z","submitted_at":"2026-07-12T05:28:48Z","title":"Laguerre Geometry for Interpreting Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T10:42:30.055074Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2607.10578"},"observation_digest":"sha256:7053d023df9e072c8e62dde9b7659871768d3612fa9db3e6553afe43015f553c","observation_id":"8797ce8b-d67c-4c51-baa5-3e720a96cf38","resolution":{"observed_at":"2026-07-14T10:42:30.055074Z","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":"2026-08-02T02:53:55.318735Z","title":"Proceedings of the 42nd International Conference on Machine Learning , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14070","last_updated":"2026-07-15T17:38:02Z","snapshot_observed_at":"2026-08-02T02:53:53.223618Z","submitted_at":"2026-07-15T17:38:02Z","title":"Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-02T02:53:55.318735Z"},"links":{"cited_paper":"/paper/2502.16681","citing_paper":"/paper/2607.14070"},"observation_digest":"sha256:845f7e6317f05bbb448bfacd23b6443719ff9be6d7dc7619d5803f9307be56a7","observation_id":"bf1a2aca-f782-4e1f-a628-478e44c56125","resolution":{"observed_at":"2026-08-02T02:53:55.318735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.16681/citation-record","integrity":"/paper/2502.16681/integrity","json":"/paper/2502.16681/citation-record.json","paper":"/paper/2502.16681"},"outbound":[],"paper":{"arxiv_id":"2502.16681","last_updated":"2025-02-23T18:54:15Z","latest_version":1,"primary_category":"cs.LG","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"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2502.16681."}