{"as_of":"2026-08-08T01:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17f25e652472bbb002ff0ed2b73185337daf8211d9ebc9537c8621f366b783d3","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":"2026-08-07T06:34:17.273281+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":"2026-08-04T20:09:21.152720Z","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":"2026-05-19T11:27:16.007810Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.18068","last_updated":"2024-11-18T15:43:58Z","snapshot_observed_at":"2026-08-06T20:07:55.360831Z","submitted_at":"2024-02-28T05:54:02Z","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model","version":3},"cited_work":{"arxiv_id":"2402.18068","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.18068","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Synartifact: Classifying and alleviat- ing artifacts in synthetic images via vision-language model","venue":null,"work_id":"fc3f4da7-bdc6-490f-bb6f-7105f061629b","year":2024},"citing_paper":{"arxiv_id":"2506.00979","last_updated":"2026-05-05T13:47:19Z","snapshot_observed_at":"2026-07-06T21:34:34.091508Z","submitted_at":"2025-06-01T12:20:22Z","title":"Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection","version":6},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T11:24:11.195480Z"},"links":{"cited_paper":"/paper/2402.18068","citing_paper":"/paper/2506.00979"},"observation_digest":"sha256:0025e518924d4f3d79a3e2df326be9f390ef60ad2a3cd9dcdef87bc3cb813c96","observation_id":"c6925ead-2026-4b11-b7ac-ede43c8f85f5","resolution":{"observed_at":"2026-05-19T11:27:16.010593Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.18068","last_updated":"2024-11-18T15:43:58Z","snapshot_observed_at":"2026-08-06T20:07:55.360831Z","submitted_at":"2024-02-28T05:54:02Z","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model","version":3},"cited_work":{"arxiv_id":"2402.18068","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.18068","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Synartifact: Classifying and alleviat- ing artifacts in synthetic images via vision-language model","venue":null,"work_id":"fc3f4da7-bdc6-490f-bb6f-7105f061629b","year":2024},"citing_paper":{"arxiv_id":"2509.04123","last_updated":"2026-04-11T07:57:17Z","snapshot_observed_at":"2026-07-06T22:23:59.676849Z","submitted_at":"2025-09-04T11:37:06Z","title":"TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T19:02:01.962726Z"},"links":{"cited_paper":"/paper/2402.18068","citing_paper":"/paper/2509.04123"},"observation_digest":"sha256:8540656399891cac9aeebe8b834c59e5b670fce167e0ab56b0c64629368cd78d","observation_id":"95cf16f4-14e3-46fc-9068-df6182549b36","resolution":{"observed_at":"2026-05-18T19:02:48.748941Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2402.18068","last_updated":"2024-11-18T15:43:58Z","snapshot_observed_at":"2026-08-06T20:07:55.360831Z","submitted_at":"2024-02-28T05:54:02Z","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18068","snapshot_observed_at":"2026-08-04T20:09:21.152720Z","title":"Synartifact: Classifying and alleviating artifacts in synthetic images via vision-language model.arXiv preprint arXiv:2402.18068, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08818","last_updated":"2025-09-10T17:51:42Z","snapshot_observed_at":"2026-08-07T13:58:17.090849Z","submitted_at":"2025-09-10T17:51:42Z","title":"GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T20:09:21.152720Z"},"links":{"cited_paper":"/paper/2402.18068","citing_paper":"/paper/2509.08818"},"observation_digest":"sha256:33fa4a46bdf443f6ea514d1f01515ceaa52942ef3d123b69b2be5c698f4951f3","observation_id":"4ff34cb7-291f-43d9-b515-4d0211610f9c","resolution":{"observed_at":"2026-08-04T20:09:21.152720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18068","last_updated":"2024-11-18T15:43:58Z","snapshot_observed_at":"2026-08-06T20:07:55.360831Z","submitted_at":"2024-02-28T05:54:02Z","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18068","snapshot_observed_at":"2026-07-30T11:00:39.592144Z","title":"Synartifact: Classifying and alleviating artifacts in synthetic images via vision- language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27113","last_updated":"2026-07-29T16:43:59Z","snapshot_observed_at":"2026-08-02T18:47:55.415899Z","submitted_at":"2026-07-29T16:43:59Z","title":"Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-07-30T11:00:39.592144Z"},"links":{"cited_paper":"/paper/2402.18068","citing_paper":"/paper/2607.27113"},"observation_digest":"sha256:f5b69bdf6d20879f755f295809d8cb551c22585d6db795de4470f2655e25e381","observation_id":"80f9f01b-5110-4c00-bda2-18b626ec2014","resolution":{"observed_at":"2026-07-30T11:00:39.592144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.18068/citation-record","integrity":"/paper/2402.18068/integrity","json":"/paper/2402.18068/citation-record.json","paper":"/paper/2402.18068"},"outbound":[],"paper":{"arxiv_id":"2402.18068","last_updated":"2024-11-18T15:43:58Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:07:55.360831Z","submitted_at":"2024-02-28T05:54:02Z","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.18068."}