{"as_of":"2026-08-16T18:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8a228132fc67285372cefe7c6ac32c4d1deb720c92007aa5745506e96a9eb862","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:32:59.040093Z","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":"2026-05-19T09:37:14.165341Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.01206","last_updated":"2024-04-01T16:08:18Z","snapshot_observed_at":"2026-08-16T14:04:36.183609Z","submitted_at":"2024-04-01T16:08:18Z","title":"Machine Unlearning for Traditional Models and Large Language Models: A Short Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01206","snapshot_observed_at":"2026-08-16T12:32:59.040093Z","title":"Machine unlearning for traditional models and large language models: A short survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12574","last_updated":"2025-08-26T13:04:59Z","snapshot_observed_at":"2026-08-16T12:26:08.728386Z","submitted_at":"2025-04-17T01:44:57Z","title":"ForgetMe: Evaluating Selective Forgetting in Generative Models","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T12:32:59.040093Z"},"links":{"cited_paper":"/paper/2404.01206","citing_paper":"/paper/2504.12574"},"observation_digest":"sha256:d3cbd1285c5b4830c46ae6a6ea82c5775bc78e39451819c94eefe48881c713c4","observation_id":"0021814b-deb9-475b-9ab0-10cacb66158c","resolution":{"observed_at":"2026-08-16T12:32:59.040093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01206","last_updated":"2024-04-01T16:08:18Z","snapshot_observed_at":"2026-08-16T14:04:36.183609Z","submitted_at":"2024-04-01T16:08:18Z","title":"Machine Unlearning for Traditional Models and Large Language Models: A Short Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01206","snapshot_observed_at":"2026-08-15T20:21:39.926816Z","title":"Machine unlearning for traditional models and large language models: A short survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13312","last_updated":"2025-05-19T16:26:58Z","snapshot_observed_at":"2026-08-16T02:44:31.161016Z","submitted_at":"2025-05-19T16:26:58Z","title":"GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T20:21:39.926816Z"},"links":{"cited_paper":"/paper/2404.01206","citing_paper":"/paper/2505.13312"},"observation_digest":"sha256:c6faf6f568068494012c465c88ff0b6234570bae3559e875e69a53d2af28b6d4","observation_id":"b5641037-d00f-43b6-a2d5-7544d8b58ac4","resolution":{"observed_at":"2026-08-15T20:21:39.926816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01206","last_updated":"2024-04-01T16:08:18Z","snapshot_observed_at":"2026-08-16T14:04:36.183609Z","submitted_at":"2024-04-01T16:08:18Z","title":"Machine Unlearning for Traditional Models and Large Language Models: A Short Survey","version":1},"cited_work":{"arxiv_id":"2404.01206","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01206","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"94a1509a-99aa-4116-a93b-52d91e53607c","year":2024},"citing_paper":{"arxiv_id":"2506.15115","last_updated":"2026-04-07T04:34:06Z","snapshot_observed_at":"2026-08-12T16:15:21.165975Z","submitted_at":"2025-06-18T03:33:59Z","title":"Towards Reliable Forgetting: A Survey on Machine Unlearning Verification","version":3},"reference_index":116,"source":"pdf_text","source_observed_at":"2026-05-19T09:35:00.520860Z"},"links":{"cited_paper":"/paper/2404.01206","citing_paper":"/paper/2506.15115"},"observation_digest":"sha256:69bb60f1bbe93e74b1dc990f3ed97c6145a127166e08ee33dc7a40e1ccfa1040","observation_id":"804e31a1-0481-4190-ad2a-fa8d57eca788","resolution":{"observed_at":"2026-05-19T09:37:14.166649Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01206","last_updated":"2024-04-01T16:08:18Z","snapshot_observed_at":"2026-08-16T14:04:36.183609Z","submitted_at":"2024-04-01T16:08:18Z","title":"Machine Unlearning for Traditional Models and Large Language Models: A Short Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01206","snapshot_observed_at":"2026-08-15T19:34:30.027354Z","title":"Machine unlearning in large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17338","last_updated":"2025-06-24T06:44:47Z","snapshot_observed_at":"2026-08-16T09:13:18.309943Z","submitted_at":"2025-06-19T08:28:29Z","title":"PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:34:30.027354Z"},"links":{"cited_paper":"/paper/2404.01206","citing_paper":"/paper/2506.17338"},"observation_digest":"sha256:87e1b0c1a445ee76d91c3e2bf3eeddd46acb6cedadbd92bd5c94ce6d8fb0873c","observation_id":"eb67a314-b2fc-431d-a200-10f049868f58","resolution":{"observed_at":"2026-08-15T19:34:30.027354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.01206/citation-record","integrity":"/paper/2404.01206/integrity","json":"/paper/2404.01206/citation-record.json","paper":"/paper/2404.01206"},"outbound":[],"paper":{"arxiv_id":"2404.01206","last_updated":"2024-04-01T16:08:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:04:36.183609Z","submitted_at":"2024-04-01T16:08:18Z","title":"Machine Unlearning for Traditional Models and Large Language Models: A Short Survey"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01206."}