{"as_of":"2026-08-10T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a1347c484070d50afe7952ee43928fbeeb7d83fa347725ae8808d52c9be8857","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T21:06:56.019041Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T11:19:50.773514Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.16672","last_updated":"2025-06-03T09:50:57Z","snapshot_observed_at":"2026-07-06T19:37:33.729773Z","submitted_at":"2024-10-22T04:08:27Z","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16672","snapshot_observed_at":"2026-08-08T21:06:56.019041Z","title":"Dean: Deactivating the coupled neurons to mitigate fairness-privacy conflicts in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05242","last_updated":"2026-05-27T09:11:42Z","snapshot_observed_at":"2026-08-08T20:58:31.381100Z","submitted_at":"2025-02-07T13:25:33Z","title":"Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T21:06:56.019041Z"},"links":{"cited_paper":"/paper/2410.16672","citing_paper":"/paper/2502.05242"},"observation_digest":"sha256:57c76358dbd1634a0070b960ecf670103cb3a2c9d73834126ef4859c57071588","observation_id":"9df7f434-40a5-467f-824c-394f877165eb","resolution":{"observed_at":"2026-08-08T21:06:56.019041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16672","last_updated":"2025-06-03T09:50:57Z","snapshot_observed_at":"2026-07-06T19:37:33.729773Z","submitted_at":"2024-10-22T04:08:27Z","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16672","snapshot_observed_at":"2026-08-07T12:03:33.362803Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00759","last_updated":"2025-06-08T14:59:14Z","snapshot_observed_at":"2026-08-08T10:36:55.053997Z","submitted_at":"2025-06-01T00:10:30Z","title":"Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:03:33.362803Z"},"links":{"cited_paper":"/paper/2410.16672","citing_paper":"/paper/2506.00759"},"observation_digest":"sha256:3327d77fb8b7c43375e20346870b2ac326e96f9ea8d9595bad4a66ce7c8cc422","observation_id":"bac8ca64-a417-44f9-b4fd-1f21e7e33244","resolution":{"observed_at":"2026-08-07T12:03:33.362803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16672","last_updated":"2025-06-03T09:50:57Z","snapshot_observed_at":"2026-07-06T19:37:33.729773Z","submitted_at":"2024-10-22T04:08:27Z","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.16672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16672","snapshot_observed_at":"2026-08-07T11:19:50.773514Z","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models","venue":"cs.AI","work_id":"98621070-1ea3-4f9d-a40b-e645ce6fd629","year":2024},"citing_paper":{"arxiv_id":"2506.02867","last_updated":"2025-06-04T15:00:58Z","snapshot_observed_at":"2026-08-08T18:19:35.851376Z","submitted_at":"2025-06-03T13:31:10Z","title":"Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:19:47.122007Z"},"links":{"cited_paper":"/paper/2410.16672","citing_paper":"/paper/2506.02867"},"observation_digest":"sha256:632b566bb31082cb9c63178d2e4fbaec314de6f1b12e7ed628de2c4183815b95","observation_id":"362cc238-13a8-43be-8aba-82aa4556026b","resolution":{"observed_at":"2026-08-07T11:19:50.891770Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.16672/citation-record","integrity":"/paper/2410.16672/integrity","json":"/paper/2410.16672/citation-record.json","paper":"/paper/2410.16672"},"outbound":[],"paper":{"arxiv_id":"2410.16672","last_updated":"2025-06-03T09:50:57Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T19:37:33.729773Z","submitted_at":"2024-10-22T04:08:27Z","title":"The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16672."}