{"as_of":"2026-08-18T10:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1624429458eac5accadf1001071f18e5f7e6792d0ea862857745985b792696a4","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:44:23.234479Z","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":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-07T14:44:23.234479Z","title":"Rogov, Elena Tu- tubalina, and Ivan Oseledets","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17716","last_updated":"2025-05-23T10:33:14Z","snapshot_observed_at":"2026-08-16T17:10:52.194207Z","submitted_at":"2025-05-23T10:33:14Z","title":"Get Experience from Practice: LLM Agents with Record & Replay","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:23.234479Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2505.17716"},"observation_digest":"sha256:edfca3d01b9da1bc0325d0c50c6b5308033dd56bfede0b6fa8687afa470c9525","observation_id":"7d9a689a-d348-4f41-ba2b-8d9e55855340","resolution":{"observed_at":"2026-08-07T14:44:23.234479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-06T16:50:00.194759Z","title":"Y., Tutubalina, E., and Oseledets, I","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12638","last_updated":"2025-07-16T21:21:03Z","snapshot_observed_at":"2026-08-17T00:57:46.572335Z","submitted_at":"2025-07-16T21:21:03Z","title":"Reasoning-Finetuning Repurposes Latent Representations in Base Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T16:50:00.194759Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2507.12638"},"observation_digest":"sha256:28695e477f322f56a6f304b423492359fe5c3d02827734528a179754f983ba39","observation_id":"f8bb119f-f6ac-4136-991c-45324ab7c699","resolution":{"observed_at":"2026-08-06T16:50:00.194759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T20:31:31.253466Z","title":"Rogov, Elena Tutubalina, and Ivan Oseledets","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10404","last_updated":"2025-08-14T07:12:44Z","snapshot_observed_at":"2026-08-17T19:45:21.284715Z","submitted_at":"2025-08-14T07:12:44Z","title":"Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T20:31:31.253466Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2508.10404"},"observation_digest":"sha256:c08a8d1e025d93c411e3bf66b057a44ddb51ee05f8db08190d70c6d0bb39dc33","observation_id":"7fe71ad6-57ad-4266-8612-7fd0530e0210","resolution":{"observed_at":"2026-08-05T20:31:31.253466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-03T12:20:58.883133Z","title":"Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.03595","last_updated":"2026-07-28T04:16:50Z","snapshot_observed_at":"2026-08-17T20:04:09.035792Z","submitted_at":"2026-01-07T05:26:26Z","title":"Controllable LLM Reasoning via Sparse Autoencoder-Based Steering","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-03T12:20:58.883133Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2601.03595"},"observation_digest":"sha256:9ad3530db774029b149c185b43ea338f28c50f73652b583d74558ce6cd35c59f","observation_id":"ed56be10-08bd-42c0-ae61-272eec8bacbf","resolution":{"observed_at":"2026-08-03T12:20:58.883133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2601.14004","last_updated":"2026-04-14T03:49:06Z","snapshot_observed_at":"2026-08-16T20:33:34.399636Z","submitted_at":"2026-01-20T14:23:23Z","title":"Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models","version":4},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-16T12:39:57.398423Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2601.14004"},"observation_digest":"sha256:bb816de242c36fcc47884676a77746e366a46426b8ff7ee0bf06ea7b5ffd2930","observation_id":"21391415-eafd-450f-be88-ba4f326f41e9","resolution":{"observed_at":"2026-05-16T12:40:54.776198Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2604.17761","last_updated":"2026-04-20T03:24:11Z","snapshot_observed_at":"2026-08-12T15:31:25.300205Z","submitted_at":"2026-04-20T03:24:11Z","title":"Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T05:12:31.218055Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2604.17761"},"observation_digest":"sha256:9f4a3bb82cee58a7d22d2513741a13871e3bfe35f8ca0c63ed093f2cf2a64d1f","observation_id":"12b9be53-fc88-488a-8a0c-fb6e1bab5bae","resolution":{"observed_at":"2026-05-10T09:38:42.820595Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2604.25011","last_updated":"2026-04-27T21:22:34Z","snapshot_observed_at":"2026-07-06T23:10:57.164248Z","submitted_at":"2026-04-27T21:22:34Z","title":"Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T03:33:55.019375Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2604.25011"},"observation_digest":"sha256:1dfb4cb0d95461b694c5fa47da55aef02a6639a5beb57165455334608efa0cd7","observation_id":"9d0fb067-8708-464b-bc2a-b9fca23d470e","resolution":{"observed_at":"2026-05-11T22:01:12.677498Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2605.23040","last_updated":"2026-05-21T21:13:14Z","snapshot_observed_at":"2026-08-02T04:36:31.374601Z","submitted_at":"2026-05-21T21:13:14Z","title":"Steered Generation via Gradient-Based Optimization on Sparse Query Features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T05:31:29.510639Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2605.23040"},"observation_digest":"sha256:3b0f0d7113ecbcd271ba6bcfffcafc334a163ee1a24bb05609fbc352716c68e6","observation_id":"75ff0ea4-2377-49e9-8aef-d16c827c1a5a","resolution":{"observed_at":"2026-05-25T05:36:40.429670Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2606.06188","last_updated":"2026-06-04T13:59:07Z","snapshot_observed_at":"2026-08-12T18:10:57.145738Z","submitted_at":"2026-06-04T13:59:07Z","title":"The Tell-Tale Norm: $\\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-28T02:07:49.501480Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2606.06188"},"observation_digest":"sha256:0941a946be0d7a2b0b569ad47b7b499150627346cb6cc4b39f37174318e87c35","observation_id":"d912a75e-ec43-4732-bf63-4efa19771549","resolution":{"observed_at":"2026-07-02T12:26:56.913383Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2606.06840","last_updated":"2026-06-05T02:32:24Z","snapshot_observed_at":"2026-08-16T20:02:22.679518Z","submitted_at":"2026-06-05T02:32:24Z","title":"Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-06-27T22:22:52.690010Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2606.06840"},"observation_digest":"sha256:17ebd78fa2927baac3d50b06a6597ceae4e92ac82a04303454dfa70d5cafafde","observation_id":"4adc838f-5e6d-4a91-aec8-e6c561786ac0","resolution":{"observed_at":"2026-06-27T22:31:21.460721Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2503.18878","doi":"10.48550/arxiv.2503.18878","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18878","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"I have covered all the bases here: Interpreting reasoning features in large language models via sparse autoencoders.arXiv preprint arXiv:2503.18878","venue":"arXiv (Cornell University)","work_id":"aef787ce-d831-442a-96cf-e144c4d0af13","year":2025},"citing_paper":{"arxiv_id":"2606.11470","last_updated":"2026-08-10T19:13:02Z","snapshot_observed_at":"2026-08-14T23:09:31.705348Z","submitted_at":"2026-06-09T21:59:37Z","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-06-27T12:59:51.091008Z"},"links":{"cited_paper":"/paper/2503.18878","citing_paper":"/paper/2606.11470"},"observation_digest":"sha256:a67be3974a27a74e3d937591762b5cf7a31920aeb9478d638b4e9e96b10c2208","observation_id":"28a025ab-1516-4726-b01e-0f17440116ec","resolution":{"observed_at":"2026-07-03T05:57:41.597502Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.18878/citation-record","integrity":"/paper/2503.18878/integrity","json":"/paper/2503.18878/citation-record.json","paper":"/paper/2503.18878"},"outbound":[],"paper":{"arxiv_id":"2503.18878","last_updated":"2025-08-05T20:14:47Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T12:47:16.580519Z","submitted_at":"2025-03-24T16:54:26Z","title":"I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2503.18878."}