{"as_of":"2026-08-01T18:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2c0bd501643f5bb9bffbf6353c91912205eda481540b3d7e7f19e06843094fa","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T11:50:26.030339Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-01T06:32:01.292127+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.30641/citation-record","integrity":"/paper/2605.30641/integrity","json":"/paper/2605.30641/citation-record.json","paper":"/paper/2605.30641"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p19-1346","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T20:25:01.371503Z","title":"ELI5: long form question answering","venue":null,"work_id":"a84a09c9-d0b0-440d-ada6-19ad2403cef9","year":2013},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:333672c1f6e41edacc0be2609fbc96667bc7cfcaf43b4e467891811e352a7cdd","observation_id":"cda3570d-4223-4d1e-b5b6-b171b712390f","resolution":{"observed_at":"2026-06-29T07:23:12.325557Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.naacl-main.112","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T12:26:55.923065Z","title":"Efficient Attentions for Long Document Summarization","venue":null,"work_id":"e35b4a28-b107-4e4e-8d8b-ed8c877c887e","year":2021},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:6858b7604ff6984ab261362480f5b817f27ff05401a60563aefc0ebf5cc86c3a","observation_id":"f538437c-2c1f-40f0-9470-94482fe93791","resolution":{"observed_at":"2026-06-29T07:23:12.330469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":"2310.06825","doi":"10.48550/arxiv.2310.06825","metadata_source":"pith","pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-07-10T14:47:14.537301Z","title":"Mistral 7B","venue":"cs.CL","work_id":"eb5e1305-ad11-4875-ad8d-ad8b8f697599","year":2023},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:beff19600a4b3b957e2b1e5e4b1db53646585aafdd32243f75d9da1e83934c37","observation_id":"7eb6b70e-212e-4004-8f10-9d36873946fe","resolution":{"observed_at":"2026-06-29T07:23:12.328500Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-07-11T05:19:23.48574+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:19:23.48574+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.07843","last_updated":"2016-09-26T04:06:13Z","snapshot_observed_at":"2026-07-06T05:12:10.387914Z","submitted_at":"2016-09-26T04:06:13Z","title":"Pointer Sentinel Mixture Models","version":1},"cited_work":{"arxiv_id":"1609.07843","doi":"10.1007/978-3-030-62077-6","metadata_source":"pith","pith_arxiv_id":"1609.07843","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Pointer Sentinel Mixture Models","venue":"cs.CL","work_id":"fef3833e-dc80-42a3-a1e0-ffbfafee6fff","year":2016},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1609.07843","citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:5b631ea4777482fbb696371dca99e9dbd20cfedb097295530ea3ebbed60cf8fb","observation_id":"fa6d8d4f-8f1f-46e7-b6fe-cb0254f00729","resolution":{"observed_at":"2026-06-29T07:23:12.320621Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.acl-long.416","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:57:45.725037Z","title":"doi: 10.18653/v1/2021.acl-long.416","venue":null,"work_id":"440953f3-e794-4667-9b78-58e6a75f0c33","year":2021},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:52a13430850e422952c403c32ba77dfdb827967406956ba7d305eb822b111d4d","observation_id":"9a99b8ff-4403-45b7-986a-05a3b0b1d080","resolution":{"observed_at":"2026-06-29T07:23:12.326549Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:48:58.169326+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:48:58.169326+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/k16-1028","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T07:43:13.113816Z","title":"doi: 10.18653/v1/K16-1028","venue":null,"work_id":"c6848274-3353-4417-9ad4-b34ccead1119","year":2016},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:4d70ed98517baafa2b9f5c3e6cd0fb26a96e6e1cc0ffc5ecfef78875973c8784","observation_id":"cf864bfd-4f91-41e0-93ad-84e1bb0d6141","resolution":{"observed_at":"2026-06-29T07:23:12.316811Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d18-1521","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T07:23:12.327076Z","title":"Learning Gender-Neutral Word Embeddings","venue":null,"work_id":"1e405dab-b265-4e8a-b988-a62599fa28f5","year":2021},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:4f7169795ee7b65d926a291bb3104849af94e0a701e148b19ca767ffbdbcdb7a","observation_id":"87031add-ccbd-4091-b274-7966f74d3596","resolution":{"observed_at":"2026-06-29T07:23:12.328328Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T07:17:27.226027Z","title":"These methods compete oncomputation at decode-time, counterfactual consistency, and statistical guarantees","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:fc502059bc5afb96dd1c28ce3597eea2a9d985b3bd71f58fbc2957f99d54adb2","observation_id":"6421ff02-1cf7-4794-a607-33cef90968b4","resolution":{"observed_at":"2026-06-29T07:17:27.226027Z","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":"2026-06-29T07:17:27.226027Z","title":"We report themseparately(Appendix only) to avoid conflating training cost with inference-only objectives","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:bb9db45c890115951f6d5b5564f2327c98da41e43bd954c29d40ae98091fc2e1","observation_id":"7bd2f41f-ec84-4836-bb45-0f85d20a6b2b","resolution":{"observed_at":"2026-06-29T07:17:27.226027Z","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":"2026-06-29T07:17:27.226027Z","title":"attenuate then certify","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T07:17:27.226027Z"},"links":{"citing_paper":"/paper/2605.30641"},"observation_digest":"sha256:e0a7e5c70b7e0b7a3d598a78b50592086a4ee08a56ba9880ebf4e03b76549ced","observation_id":"a367c408-9eee-4e64-be3a-23fcbfd4f712","resolution":{"observed_at":"2026-06-29T07:17:27.226027Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.30641","last_updated":"2026-05-28T22:52:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T23:39:53.132531Z","submitted_at":"2026-05-28T22:52:15Z","title":"COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":1,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":10},"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":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"thesis":"As of 1 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2605.30641."}