{"as_of":"2026-08-08T15:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:24ec02f0938335b86ebb79e524abb6296ab0d66e5e4fca88747147b497072d2a","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:02:58.487711Z","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":"2026-08-07T10:24:27.132498Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.03032","last_updated":"2025-03-04T22:19:52Z","snapshot_observed_at":"2026-08-07T20:49:55.611036Z","submitted_at":"2025-03-04T22:19:52Z","title":"SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03032","snapshot_observed_at":"2026-08-07T14:02:58.487711Z","title":"Safe: A sparse autoencoder-based framework for robust query enrichment and hallucination mitigation in llms.arXiv preprint arXiv:2503.03032, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20254","last_updated":"2025-05-26T17:31:36Z","snapshot_observed_at":"2026-08-08T03:52:01.664959Z","submitted_at":"2025-05-26T17:31:36Z","title":"Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:58.487711Z"},"links":{"cited_paper":"/paper/2503.03032","citing_paper":"/paper/2505.20254"},"observation_digest":"sha256:78c5486fac5c301d3dab54c2161de3fe68180c7e1c6bb3bc20c44273bf234523","observation_id":"d985f89e-c3d7-481f-bcb8-a67ba9aeba66","resolution":{"observed_at":"2026-08-07T14:02:58.487711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03032","last_updated":"2025-03-04T22:19:52Z","snapshot_observed_at":"2026-08-07T20:49:55.611036Z","submitted_at":"2025-03-04T22:19:52Z","title":"SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs","version":1},"cited_work":{"arxiv_id":"2503.03032","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.03032","snapshot_observed_at":"2026-08-07T10:24:27.132498Z","title":"SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs","venue":"cs.CL","work_id":"66c5a900-aba1-4c58-948e-77658a043f14","year":2025},"citing_paper":{"arxiv_id":"2506.05451","last_updated":"2025-06-05T17:56:05Z","snapshot_observed_at":"2026-08-07T10:19:08.286287Z","submitted_at":"2025-06-05T17:56:05Z","title":"Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:26.294848Z"},"links":{"cited_paper":"/paper/2503.03032","citing_paper":"/paper/2506.05451"},"observation_digest":"sha256:994c1b1adc1c404cd0360fe398bd9e61a7ec28e4f96c2f1c3ba5a612a24449bc","observation_id":"560521ff-a5b7-43da-a648-05155e0ef7b0","resolution":{"observed_at":"2026-08-07T10:24:27.136657Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.03032/citation-record","integrity":"/paper/2503.03032/integrity","json":"/paper/2503.03032/citation-record.json","paper":"/paper/2503.03032"},"outbound":[],"paper":{"arxiv_id":"2503.03032","last_updated":"2025-03-04T22:19:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T20:49:55.611036Z","submitted_at":"2025-03-04T22:19:52Z","title":"SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.03032."}