{"as_of":"2026-08-08T00:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d12a7eab3e0707db1a3ff392dbfde0e49691fa7e8c4451b3f78bd7d8329a81d","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T12:34:45.844543Z","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":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.28902/citation-record","integrity":"/paper/2605.28902/integrity","json":"/paper/2605.28902/citation-record.json","paper":"/paper/2605.28902"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.12508","last_updated":"2024-04-04T07:45:38Z","snapshot_observed_at":"2026-08-03T17:30:25.153454Z","submitted_at":"2023-10-19T06:17:17Z","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","version":5},"cited_work":{"arxiv_id":"2310.12508","doi":"10.48550/arxiv.2310.12508","metadata_source":"pith","pith_arxiv_id":"2310.12508","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","venue":"cs.LG","work_id":"b38d8886-7b2d-4e04-a02e-e7fda5a55db0","year":2023},"citing_paper":{"arxiv_id":"2605.28902","last_updated":"2026-05-27T15:58:20Z","snapshot_observed_at":"2026-08-05T22:43:22.371742Z","submitted_at":"2026-05-27T15:58:20Z","title":"Orthogonal Concept Erasure for Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T12:34:45.844543Z"},"links":{"cited_paper":"/paper/2310.12508","citing_paper":"/paper/2605.28902"},"observation_digest":"sha256:8748b885873710bc7aea24905a0ff308fd11f1bdc965360fa235a346844ca697","observation_id":"e15015bb-7022-411e-8478-05a27eafebcd","resolution":{"observed_at":"2026-06-29T12:43:26.029234Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.22806","last_updated":"2025-06-28T08:17:19Z","snapshot_observed_at":"2026-08-06T21:55:03.844375Z","submitted_at":"2025-06-28T08:17:19Z","title":"Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate","version":1},"cited_work":{"arxiv_id":"2506.22806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.22806","snapshot_observed_at":"2026-07-04T19:30:07.401136Z","title":"H., Lim, S., Lee, S., Kang, D","venue":null,"work_id":"cfe41d0c-1e3e-48c0-a136-8bd8c4e4ec60","year":2024},"citing_paper":{"arxiv_id":"2605.28902","last_updated":"2026-05-27T15:58:20Z","snapshot_observed_at":"2026-08-05T22:43:22.371742Z","submitted_at":"2026-05-27T15:58:20Z","title":"Orthogonal Concept Erasure for Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T12:34:45.844543Z"},"links":{"cited_paper":"/paper/2506.22806","citing_paper":"/paper/2605.28902"},"observation_digest":"sha256:31251a7e37e936ab05d4af5f422637f7c39f6cca5225d0860536324be06b6368","observation_id":"99471d79-6f9d-4e0a-9d0f-127b74b7fe31","resolution":{"observed_at":"2026-06-29T12:43:26.031851Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.28902","last_updated":"2026-05-27T15:58:20Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-05T22:43:22.371742Z","submitted_at":"2026-05-27T15:58:20Z","title":"Orthogonal Concept Erasure for Diffusion Models"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":2},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2605.28902."}