{"as_of":"2026-08-23T17:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84dcf9054fd93bebf138e9fc44bf36613efbea72c2a1524d1c2170e095075800","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:48:51.990243Z","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":"2026-07-11T00:27:50.492768Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-08-15T20:48:51.990243Z","title":"Soft prompting for unlearning in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11953","last_updated":"2025-05-28T03:33:24Z","snapshot_observed_at":"2026-08-21T04:32:06.654831Z","submitted_at":"2025-05-17T10:41:22Z","title":"Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:48:51.990243Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2505.11953"},"observation_digest":"sha256:8379d6f652c6517c3e8f0bf4c312ebd1ea063dd231ae08f472c723ca006eaddc","observation_id":"e8b20ad2-ade6-4bd2-8a0c-153d94d98c77","resolution":{"observed_at":"2026-08-15T20:48:51.990243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-08-15T20:21:39.571160Z","title":"Soft prompting for unlearning in large language models.arXiv preprint arXiv:2406.12038, 2024","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":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:21:39.571160Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2505.13312"},"observation_digest":"sha256:9fdf5b9fe846d0b5c42252debf70f001d9ec2b3f79f83b20f54b0187b0fd8c69","observation_id":"bd5b10f9-d16d-435a-b6eb-61ddea204b5c","resolution":{"observed_at":"2026-08-15T20:21:39.571160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-08-07T12:28:02.312793Z","title":"Chein-I Chang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24428","last_updated":"2025-05-30T10:07:52Z","snapshot_observed_at":"2026-08-20T15:30:50.735950Z","submitted_at":"2025-05-30T10:07:52Z","title":"Model Unlearning via Sparse Autoencoder Subspace Guided Projections","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:28:02.312793Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2505.24428"},"observation_digest":"sha256:892dd7692f71e9016df12fdc777bbfca306c7922e571dd681b6be5b713c72f4c","observation_id":"3e0aa99b-2460-412e-8b24-e34c5fb437eb","resolution":{"observed_at":"2026-08-07T12:28:02.312793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":"2406.12038","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-07-11T00:27:50.492768Z","title":"Soft prompting for unlearning in large language models","venue":"cs.CL","work_id":"7467db85-61e7-4311-a8cd-1dbbc2660de7","year":2024},"citing_paper":{"arxiv_id":"2510.17210","last_updated":"2026-04-17T09:01:11Z","snapshot_observed_at":"2026-08-16T12:19:33.270173Z","submitted_at":"2025-10-20T06:50:03Z","title":"Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T06:48:49.492536Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2510.17210"},"observation_digest":"sha256:fabcdf0aff6ddd683df2f69e819b900fd905f18535f05d7c9223d8d192e3d69f","observation_id":"133d5926-0965-4520-9292-bd344724e752","resolution":{"observed_at":"2026-05-18T06:51:00.638826Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":"2406.12038","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-07-11T00:27:50.492768Z","title":"Soft prompting for unlearning in large language models","venue":"cs.CL","work_id":"7467db85-61e7-4311-a8cd-1dbbc2660de7","year":2024},"citing_paper":{"arxiv_id":"2607.06649","last_updated":"2026-07-07T16:28:54Z","snapshot_observed_at":"2026-08-16T20:40:21.784006Z","submitted_at":"2026-07-07T16:28:54Z","title":"POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T00:23:30.377235Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2607.06649"},"observation_digest":"sha256:5b6c39df4b97997ceedab7071edca527b2a9c81b730d921b465a0e775fb78169","observation_id":"ff0a27d8-714b-4c22-9067-eac468a93525","resolution":{"observed_at":"2026-07-11T00:27:50.512417Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for Unlearning in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12038","snapshot_observed_at":"2026-08-02T10:25:19.882365Z","title":"Soft prompting for unlearning in large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16227","last_updated":"2026-06-23T00:17:34Z","snapshot_observed_at":"2026-08-21T12:19:49.656553Z","submitted_at":"2026-06-23T00:17:34Z","title":"LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-02T10:25:19.882365Z"},"links":{"cited_paper":"/paper/2406.12038","citing_paper":"/paper/2607.16227"},"observation_digest":"sha256:7769215e6d08773ad4333f51a6ca4205fe930949ef01f47d2d6ef27a5d7c201b","observation_id":"a29ea640-b344-4ae8-8d9f-7ac706c21e0a","resolution":{"observed_at":"2026-08-02T10:25:19.882365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.12038/citation-record","integrity":"/paper/2406.12038/integrity","json":"/paper/2406.12038/citation-record.json","paper":"/paper/2406.12038"},"outbound":[],"paper":{"arxiv_id":"2406.12038","last_updated":"2024-08-05T21:48:22Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T06:09:25.451713Z","submitted_at":"2024-06-17T19:11:40Z","title":"Soft Prompting for 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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.12038."}