{"as_of":"2026-08-10T20:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fdf8356ac064ed800a17f5ccbba08535484737a0b4b45f212b9ef8fa1de2b92b","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T00:02:26.267826Z","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":"2026-08-06T22:21:08.798105Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.07346","last_updated":"2025-02-02T08:58:09Z","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-12T17:45:11Z","title":"Quality Assessment for AI Generated Images with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07346","snapshot_observed_at":"2026-08-10T00:02:26.267826Z","title":"Understanding and evaluating human preferences for ai generated images with instruction tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18314","last_updated":"2025-07-14T07:08:07Z","snapshot_observed_at":"2026-08-09T23:52:58.437414Z","submitted_at":"2025-01-30T12:43:47Z","title":"AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T00:02:26.267826Z"},"links":{"cited_paper":"/paper/2405.07346","citing_paper":"/paper/2501.18314"},"observation_digest":"sha256:7dbb588102c49e2922c6bba5e08c88d35c432ab36776be1b62fb1b5a533e7379","observation_id":"a06682c8-17b6-480a-b6c1-0b2897661010","resolution":{"observed_at":"2026-08-10T00:02:26.267826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07346","last_updated":"2025-02-02T08:58:09Z","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-12T17:45:11Z","title":"Quality Assessment for AI Generated Images with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07346","snapshot_observed_at":"2026-08-07T11:16:47.664195Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03007","last_updated":"2025-06-03T15:45:41Z","snapshot_observed_at":"2026-08-10T00:48:35.502586Z","submitted_at":"2025-06-03T15:45:41Z","title":"DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:47.664195Z"},"links":{"cited_paper":"/paper/2405.07346","citing_paper":"/paper/2506.03007"},"observation_digest":"sha256:66cf5f346ad55621d72240b38d3aa1d7d10eca8f659224846fb64177b36d80cc","observation_id":"204bf254-ad1c-4b2e-8113-0dd1d3103e75","resolution":{"observed_at":"2026-08-07T11:16:47.664195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07346","last_updated":"2025-02-02T08:58:09Z","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-12T17:45:11Z","title":"Quality Assessment for AI Generated Images with Instruction Tuning","version":2},"cited_work":{"arxiv_id":"2405.07346","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.07346","snapshot_observed_at":"2026-08-06T22:21:08.798105Z","title":"Quality Assessment for AI Generated Images with Instruction Tuning","venue":"cs.CV","work_id":"25c912cb-3d24-4c37-a41b-96ee21eb428e","year":2024},"citing_paper":{"arxiv_id":"2506.21925","last_updated":"2025-06-27T05:36:04Z","snapshot_observed_at":"2026-08-07T08:13:27.921790Z","submitted_at":"2025-06-27T05:36:04Z","title":"Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:20:13.437257Z"},"links":{"cited_paper":"/paper/2405.07346","citing_paper":"/paper/2506.21925"},"observation_digest":"sha256:aa65fd28c7383c6678c53f81693983d07d4f7e35d954b329b8ba102a5d1b7f01","observation_id":"49ffbcf3-9504-45d3-bba6-c230d2fb273b","resolution":{"observed_at":"2026-08-06T22:21:08.844950Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.07346/citation-record","integrity":"/paper/2405.07346/integrity","json":"/paper/2405.07346/citation-record.json","paper":"/paper/2405.07346"},"outbound":[],"paper":{"arxiv_id":"2405.07346","last_updated":"2025-02-02T08:58:09Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-12T17:45:11Z","title":"Quality Assessment for AI Generated Images with Instruction Tuning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.07346."}