{"as_of":"2026-08-09T10:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de1a7691df100be34b77747554c887d4262a45c1682a4529129ca603f62b45c1","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T17:06:08.375932Z","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":"2026-05-10T08:53:04.774990Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.16841","last_updated":"2024-02-03T05:14:56Z","snapshot_observed_at":"2026-08-04T07:11:57.087117Z","submitted_at":"2024-02-03T05:14:56Z","title":"Machine Unlearning in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16841","snapshot_observed_at":"2026-08-05T17:06:08.375932Z","title":"Machine unlearning in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17233","last_updated":"2025-08-24T07:15:59Z","snapshot_observed_at":"2026-08-09T08:06:39.519550Z","submitted_at":"2025-08-24T07:15:59Z","title":"Module-Aware Parameter-Efficient Machine Unlearning on Transformers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T17:06:08.375932Z"},"links":{"cited_paper":"/paper/2404.16841","citing_paper":"/paper/2508.17233"},"observation_digest":"sha256:727ae9aa8047e816b6c29aae46b6bfb20584c63b0ae459fce462f6f4833f7ffe","observation_id":"ef76b28b-ce35-44dd-82b7-799fb81b2489","resolution":{"observed_at":"2026-08-05T17:06:08.375932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16841","last_updated":"2024-02-03T05:14:56Z","snapshot_observed_at":"2026-08-04T07:11:57.087117Z","submitted_at":"2024-02-03T05:14:56Z","title":"Machine Unlearning in Large Language Models","version":1},"cited_work":{"arxiv_id":"2404.16841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.16841","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.16841 , year=","venue":null,"work_id":"20747261-de83-4eec-a509-1fe78fae88a2","year":2024},"citing_paper":{"arxiv_id":"2604.15847","last_updated":"2026-04-17T08:56:36Z","snapshot_observed_at":"2026-07-06T23:03:16.345488Z","submitted_at":"2026-04-17T08:56:36Z","title":"CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-10T08:48:12.941821Z"},"links":{"cited_paper":"/paper/2404.16841","citing_paper":"/paper/2604.15847"},"observation_digest":"sha256:717ac554f9936bd91668e408c262ddcf838a286b0a5c5c1ba89610cc942f6c5e","observation_id":"be8f9c83-84e9-4703-b6f3-b01c51dba26b","resolution":{"observed_at":"2026-05-10T08:53:04.776855Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16841","last_updated":"2024-02-03T05:14:56Z","snapshot_observed_at":"2026-08-04T07:11:57.087117Z","submitted_at":"2024-02-03T05:14:56Z","title":"Machine Unlearning in Large Language Models","version":1},"cited_work":{"arxiv_id":"2404.16841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.16841","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.16841 , year=","venue":null,"work_id":"20747261-de83-4eec-a509-1fe78fae88a2","year":2024},"citing_paper":{"arxiv_id":"2604.17396","last_updated":"2026-04-19T11:59:58Z","snapshot_observed_at":"2026-08-01T18:23:32.699442Z","submitted_at":"2026-04-19T11:59:58Z","title":"Representation-Guided Parameter-Efficient LLM Unlearning","version":1},"reference_index":145,"source":"arxiv_source","source_observed_at":"2026-05-10T06:01:46.885030Z"},"links":{"cited_paper":"/paper/2404.16841","citing_paper":"/paper/2604.17396"},"observation_digest":"sha256:9a96ff3cd7e165ba4de522e3b0c842b275e9741f25f3cfc61f2dde08e35ca9c2","observation_id":"7c54ed27-efea-4f79-ad5b-b7732d634e33","resolution":{"observed_at":"2026-05-10T06:06:19.157310Z","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/2404.16841/citation-record","integrity":"/paper/2404.16841/integrity","json":"/paper/2404.16841/citation-record.json","paper":"/paper/2404.16841"},"outbound":[],"paper":{"arxiv_id":"2404.16841","last_updated":"2024-02-03T05:14:56Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-04T07:11:57.087117Z","submitted_at":"2024-02-03T05:14:56Z","title":"Machine Unlearning 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":"2026-08-09T06:31:02.800959+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 3 inbound Pith citation observations for arXiv:2404.16841."}