{"as_of":"2026-08-09T12:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4e2d5ed12e83ee0af0d843a48400e708a7718676806afd0bceeea69022278547","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":"2026-08-09T06:31:02.800959+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":"2026-08-09T06:01:13.461005Z","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":"2026-05-10T05:41:02.270927Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.10501","last_updated":"2024-08-21T11:36:47Z","snapshot_observed_at":"2026-07-06T18:00:52.903522Z","submitted_at":"2024-04-16T12:19:54Z","title":"Self-Supervised Visual Preference Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10501","snapshot_observed_at":"2026-08-09T06:01:13.461005Z","title":"Self-supervised visual preference alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04371","last_updated":"2025-02-05T11:28:11Z","snapshot_observed_at":"2026-08-09T05:54:22.550320Z","submitted_at":"2025-02-05T11:28:11Z","title":"PerPO: Perceptual Preference Optimization via Discriminative Rewarding","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-09T06:01:13.461005Z"},"links":{"cited_paper":"/paper/2404.10501","citing_paper":"/paper/2502.04371"},"observation_digest":"sha256:cf77f1d8d8798773fccacab3e18e096e8959d7cc16f039aa1051e4385ec6b833","observation_id":"a77a7dd6-242e-4c63-b4b0-0a7c11daf615","resolution":{"observed_at":"2026-08-09T06:01:13.461005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10501","last_updated":"2024-08-21T11:36:47Z","snapshot_observed_at":"2026-07-06T18:00:52.903522Z","submitted_at":"2024-04-16T12:19:54Z","title":"Self-Supervised Visual Preference Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10501","snapshot_observed_at":"2026-08-07T10:28:49.538730Z","title":"Self-supervised visual preference alignment.arXiv preprint arXiv:2404.10501, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05260","last_updated":"2025-06-05T17:21:16Z","snapshot_observed_at":"2026-08-09T11:16:28.299508Z","submitted_at":"2025-06-05T17:21:16Z","title":"LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:49.538730Z"},"links":{"cited_paper":"/paper/2404.10501","citing_paper":"/paper/2506.05260"},"observation_digest":"sha256:4855ef11f59f8b58609ac32a2e0daabe566379514e10914a1967d5fb89676f7f","observation_id":"c1555e19-d7ec-4741-bafd-f014c10d7c53","resolution":{"observed_at":"2026-08-07T10:28:49.538730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10501","last_updated":"2024-08-21T11:36:47Z","snapshot_observed_at":"2026-07-06T18:00:52.903522Z","submitted_at":"2024-04-16T12:19:54Z","title":"Self-Supervised Visual Preference Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10501","snapshot_observed_at":"2026-08-05T12:27:27.721849Z","title":"Self- supervised visual preference alignment","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01610","last_updated":"2025-09-01T16:43:48Z","snapshot_observed_at":"2026-08-08T14:14:58.948394Z","submitted_at":"2025-09-01T16:43:48Z","title":"Improving Large Vision and Language Models by Learning from a Panel of Peers","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T12:27:27.721849Z"},"links":{"cited_paper":"/paper/2404.10501","citing_paper":"/paper/2509.01610"},"observation_digest":"sha256:3d415f27b173876009632d715ed1170e66e7804ec0e8d3735148e35a2c33c079","observation_id":"2c1e9cbc-fa00-4d8b-821b-9d59a657ad41","resolution":{"observed_at":"2026-08-05T12:27:27.721849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10501","last_updated":"2024-08-21T11:36:47Z","snapshot_observed_at":"2026-07-06T18:00:52.903522Z","submitted_at":"2024-04-16T12:19:54Z","title":"Self-Supervised Visual Preference Alignment","version":2},"cited_work":{"arxiv_id":"2404.10501","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.10501","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.10501 , year=","venue":null,"work_id":"5cd60327-ec98-4e71-9ba5-3212e8cbc555","year":null},"citing_paper":{"arxiv_id":"2604.18512","last_updated":"2026-04-20T17:06:20Z","snapshot_observed_at":"2026-08-04T23:53:40.564219Z","submitted_at":"2026-04-20T17:06:20Z","title":"S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-10T05:38:01.208136Z"},"links":{"cited_paper":"/paper/2404.10501","citing_paper":"/paper/2604.18512"},"observation_digest":"sha256:426c3e6688a6984da48685f480a5121bd2bdd5e3536d54538925a23d728a53b1","observation_id":"d4ca5a5e-a8b5-4200-bf18-c538ada77016","resolution":{"observed_at":"2026-05-10T05:41:02.272168Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.10501/citation-record","integrity":"/paper/2404.10501/integrity","json":"/paper/2404.10501/citation-record.json","paper":"/paper/2404.10501"},"outbound":[],"paper":{"arxiv_id":"2404.10501","last_updated":"2024-08-21T11:36:47Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:00:52.903522Z","submitted_at":"2024-04-16T12:19:54Z","title":"Self-Supervised Visual Preference Alignment"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.10501."}