{"as_of":"2026-08-15T23:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af3ac1118804b5921e0ef83d13c9db6587527d0ab5fd391cce91a3edc9bc60e7","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":"2026-08-15T06:32:42.880941+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":"2026-08-15T20:35:44.255232Z","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":"2026-06-30T13:34:40.193722Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.02631","last_updated":"2024-11-04T21:42:56Z","snapshot_observed_at":"2026-08-12T22:07:48.707987Z","submitted_at":"2024-11-04T21:42:56Z","title":"Extracting Unlearned Information from LLMs with Activation Steering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02631","snapshot_observed_at":"2026-08-15T20:35:44.255232Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12636","last_updated":"2025-05-19T02:44:57Z","snapshot_observed_at":"2026-08-15T20:27:36.168810Z","submitted_at":"2025-05-19T02:44:57Z","title":"Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T20:35:44.255232Z"},"links":{"cited_paper":"/paper/2411.02631","citing_paper":"/paper/2505.12636"},"observation_digest":"sha256:829701c4c748fffef5c953a89473a094b8ac333402d3db7c3059a710ead882b4","observation_id":"5f596858-08fb-4446-b557-b670440a3263","resolution":{"observed_at":"2026-08-15T20:35:44.255232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02631","last_updated":"2024-11-04T21:42:56Z","snapshot_observed_at":"2026-08-12T22:07:48.707987Z","submitted_at":"2024-11-04T21:42:56Z","title":"Extracting Unlearned Information from LLMs with Activation Steering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02631","snapshot_observed_at":"2026-08-06T19:08:25.932155Z","title":"Extracting Unlearned Information from LLMs with Activation Steering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11544","last_updated":"2025-07-08T23:58:01Z","snapshot_observed_at":"2026-08-06T22:09:08.446996Z","submitted_at":"2025-07-08T23:58:01Z","title":"The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:25.932155Z"},"links":{"cited_paper":"/paper/2411.02631","citing_paper":"/paper/2507.11544"},"observation_digest":"sha256:fd05c4996a796b499798d547e719c3e8be239a0d5544144db0e905172231217e","observation_id":"e0c1b660-dad8-498d-a439-ed05a6c1254f","resolution":{"observed_at":"2026-08-06T19:08:25.932155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02631","last_updated":"2024-11-04T21:42:56Z","snapshot_observed_at":"2026-08-12T22:07:48.707987Z","submitted_at":"2024-11-04T21:42:56Z","title":"Extracting Unlearned Information from LLMs with Activation Steering","version":1},"cited_work":{"arxiv_id":"2411.02631","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02631","snapshot_observed_at":"2026-06-30T13:34:40.193722Z","title":null,"venue":null,"work_id":"f4d7be4f-5742-45a7-be7a-414462b71074","year":2024},"citing_paper":{"arxiv_id":"2605.24614","last_updated":"2026-05-23T14:52:28Z","snapshot_observed_at":"2026-08-02T21:09:24.059785Z","submitted_at":"2026-05-23T14:52:28Z","title":"Measuring the Depth of LLM Unlearning via Activation Patching","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-30T13:34:08.624308Z"},"links":{"cited_paper":"/paper/2411.02631","citing_paper":"/paper/2605.24614"},"observation_digest":"sha256:d317916433daace74191129c3b76a2ba74f07d7a35b991694f90dbda4011046c","observation_id":"c117f635-5326-4ec1-bf10-52589868d72a","resolution":{"observed_at":"2026-06-30T13:34:40.195114Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02631","last_updated":"2024-11-04T21:42:56Z","snapshot_observed_at":"2026-08-12T22:07:48.707987Z","submitted_at":"2024-11-04T21:42:56Z","title":"Extracting Unlearned Information from LLMs with Activation Steering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02631","snapshot_observed_at":"2026-08-15T14:17:56.702047Z","title":"arXiv preprint arXiv:2411.02631 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11408","last_updated":"2026-08-11T20:16:20Z","snapshot_observed_at":"2026-08-15T23:10:06.032724Z","submitted_at":"2026-08-11T20:16:20Z","title":"Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T14:17:56.702047Z"},"links":{"cited_paper":"/paper/2411.02631","citing_paper":"/paper/2608.11408"},"observation_digest":"sha256:01a1f534fc8974b2b88e9ddff40568f0c4708a8b35ed3f1f552f7a106327487b","observation_id":"6bde5c67-7bfa-4729-ba50-83cc7ac8316d","resolution":{"observed_at":"2026-08-15T14:17:56.702047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.02631/citation-record","integrity":"/paper/2411.02631/integrity","json":"/paper/2411.02631/citation-record.json","paper":"/paper/2411.02631"},"outbound":[],"paper":{"arxiv_id":"2411.02631","last_updated":"2024-11-04T21:42:56Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T22:07:48.707987Z","submitted_at":"2024-11-04T21:42:56Z","title":"Extracting Unlearned Information from LLMs with Activation Steering"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.02631."}