{"as_of":"2026-08-09T09:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:018b7208708bfac6b50026687b25eb771a96e3cabf82fd08b3b3fac82155a32b","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"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":"2026-08-08T15:08:26.050187Z","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":"2026-07-03T16:58:43.238141Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-08-08T15:08:26.050187Z","title":"Ar-lsat: Investigating analytical reasoning of text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06563","last_updated":"2025-03-02T16:38:28Z","snapshot_observed_at":"2026-08-08T15:00:36.926597Z","submitted_at":"2025-02-10T15:31:54Z","title":"Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T15:08:26.050187Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2502.06563"},"observation_digest":"sha256:ba12315522a8dda032be060de0cf064b249639060e6f5f4e930c8ede951e27f2","observation_id":"44bfd5ed-ba68-47b3-b484-15fb4a36af7a","resolution":{"observed_at":"2026-08-08T15:08:26.050187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-08-07T23:19:36.760479Z","title":"yes” if it is suitable, or “no","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08904","last_updated":"2025-02-27T01:49:15Z","snapshot_observed_at":"2026-08-08T16:15:05.187445Z","submitted_at":"2025-02-13T02:40:33Z","title":"MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training","version":3},"reference_index":2038,"source":"pdf_text","source_observed_at":"2026-08-07T23:19:36.760479Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2502.08904"},"observation_digest":"sha256:4e42d403c0f153344aace771bcde1992b04f9fef5ca3f731426547e7a92d1ddb","observation_id":"9b7eaf64-4e0d-4510-93c6-ad880feb0a4e","resolution":{"observed_at":"2026-08-07T23:19:36.760479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-08-07T10:42:41.132826Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.04611","last_updated":"2025-06-05T04:02:17Z","snapshot_observed_at":"2026-08-07T13:54:09.003484Z","submitted_at":"2025-06-05T04:02:17Z","title":"Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning","version":1},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-08-07T10:42:41.132826Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2506.04611"},"observation_digest":"sha256:31d4917734f20469d37b4dc62089c95ade04d2ddb8ae6709b4f06ca856d00377","observation_id":"38d86a02-18c1-4818-909d-622466d3cd9a","resolution":{"observed_at":"2026-08-07T10:42:41.132826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":"2104.06598","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-07-03T16:58:43.238141Z","title":"Ar-lsat: Investigating analytical reasoning of text","venue":null,"work_id":"ccf0a072-b381-4dad-9f5e-08484dfa3782","year":2021},"citing_paper":{"arxiv_id":"2605.08755","last_updated":"2026-05-09T07:35:38Z","snapshot_observed_at":"2026-08-08T15:24:38.932256Z","submitted_at":"2026-05-09T07:35:38Z","title":"LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:14.749400Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2605.08755"},"observation_digest":"sha256:396824f62f2b366de10ac0d6eae443afc729de3bdd6d5ebb0b60073dda31f4e3","observation_id":"bde502e0-d0fd-43f2-b3b8-df72fd2e8827","resolution":{"observed_at":"2026-05-12T07:16:29.996229Z","resolver_source":"arxiv_id","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":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-07-13T13:23:25.998584Z","title":"within true range","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.23909","last_updated":"2026-04-03T19:43:24Z","snapshot_observed_at":"2026-08-08T07:54:06.703604Z","submitted_at":"2026-04-03T19:43:24Z","title":"Confidence Calibration in Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-13T13:23:25.998584Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2605.23909"},"observation_digest":"sha256:4fd75584d09d871c33261745ed7b3bf7676bf7e097ca2e0bfe8eb439c3290216","observation_id":"de24ed61-024e-45bf-b294-624b5215f3ca","resolution":{"observed_at":"2026-07-13T13:23:25.998584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":"2104.06598","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-07-03T16:58:43.238141Z","title":"Ar-lsat: Investigating analytical reasoning of text","venue":null,"work_id":"ccf0a072-b381-4dad-9f5e-08484dfa3782","year":2021},"citing_paper":{"arxiv_id":"2606.06635","last_updated":"2026-06-04T18:36:42Z","snapshot_observed_at":"2026-08-04T10:54:56.661074Z","submitted_at":"2026-06-04T18:36:42Z","title":"How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-28T01:40:35.630946Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2606.06635"},"observation_digest":"sha256:d7bcaf513a9da489133306069a5dfdbde4e255f483f4c88f57a55946e7aa4d52","observation_id":"edaa1369-fde8-4104-b2a8-7cf601166fee","resolution":{"observed_at":"2026-07-02T12:56:57.514463Z","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":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":"2104.06598","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-07-03T16:58:43.238141Z","title":"Ar-lsat: Investigating analytical reasoning of text","venue":null,"work_id":"ccf0a072-b381-4dad-9f5e-08484dfa3782","year":2021},"citing_paper":{"arxiv_id":"2606.08471","last_updated":"2026-06-07T06:27:37Z","snapshot_observed_at":"2026-08-08T05:29:34.044159Z","submitted_at":"2026-06-07T06:27:37Z","title":"More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-27T18:46:26.180422Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2606.08471"},"observation_digest":"sha256:63f7b1bb1d7db251a8f5ded2532f436c0630dad7ee36b6192e809eecf325b1c1","observation_id":"41c2e4fb-047a-40e9-815b-afbd3a70e8a0","resolution":{"observed_at":"2026-07-02T22:37:26.054912Z","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":"2104.06598","last_updated":"2021-04-15T02:21:45Z","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text","version":2},"cited_work":{"arxiv_id":"2104.06598","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.06598","snapshot_observed_at":"2026-07-03T16:58:43.238141Z","title":"Ar-lsat: Investigating analytical reasoning of text","venue":null,"work_id":"ccf0a072-b381-4dad-9f5e-08484dfa3782","year":2021},"citing_paper":{"arxiv_id":"2606.14516","last_updated":"2026-06-12T14:47:37Z","snapshot_observed_at":"2026-07-06T23:52:28.557859Z","submitted_at":"2026-06-12T14:47:37Z","title":"Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-06-27T04:45:20.445703Z"},"links":{"cited_paper":"/paper/2104.06598","citing_paper":"/paper/2606.14516"},"observation_digest":"sha256:1a0ed2aab022efabe3544d04c950b987f1d6e1d22a6f1a1db798816c575a1bc6","observation_id":"d4139f2e-37eb-4f6b-ac04-b502d448905a","resolution":{"observed_at":"2026-07-03T16:58:43.239918Z","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/2104.06598/citation-record","integrity":"/paper/2104.06598/integrity","json":"/paper/2104.06598/citation-record.json","paper":"/paper/2104.06598"},"outbound":[],"paper":{"arxiv_id":"2104.06598","last_updated":"2021-04-15T02:21:45Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T03:58:03.718727Z","submitted_at":"2021-04-14T02:53:32Z","title":"AR-LSAT: Investigating Analytical Reasoning of Text"},"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":"2026-08-09T06:31:02.800959+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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2104.06598."}