{"as_of":"2026-08-08T12:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7630f088c2bf61debc6dd9d73c338773f31d5dd9d7f08fc46d04d8c7a2aa3b0","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T21:21:19.860840Z","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":"2026-07-04T17:29:59.937670Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-08-07T21:21:19.860840Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.09689","last_updated":"2025-02-13T16:48:27Z","snapshot_observed_at":"2026-08-07T21:16:58.690603Z","submitted_at":"2025-02-13T16:48:27Z","title":"Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T21:21:19.860840Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2502.09689"},"observation_digest":"sha256:5363b17486e9642850bdba0e7d948e2a860ae29611ea0f0ad18c94894624daec","observation_id":"c17b6cca-4896-40e5-aa01-2b63b6460910","resolution":{"observed_at":"2026-08-07T21:21:19.860840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2504.10166","last_updated":"2025-07-22T22:07:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-14T12:21:27Z","title":"Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T21:07:05.192222Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2504.10166"},"observation_digest":"sha256:78ed75b5d3e0ec7feaffa36d507b36c96b8adf8af61bb2c1c8e6b05e0809c663","observation_id":"af2da501-9d49-460d-af48-897f942cee01","resolution":{"observed_at":"2026-05-22T21:07:07.899498Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-08-07T04:43:21.653752Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.09847","last_updated":"2025-06-11T15:21:05Z","snapshot_observed_at":"2026-08-08T07:23:30.865537Z","submitted_at":"2025-06-11T15:21:05Z","title":"Dataset of News Articles with Provenance Metadata for Media Relevance Assessment","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T04:43:21.653752Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2506.09847"},"observation_digest":"sha256:a9b26aee07addf24a50f7d9b0d65747877acd9a4b0cf5f3614b01bc8793453ee","observation_id":"90b5dec9-c6d2-4d94-b606-d80708f452ec","resolution":{"observed_at":"2026-08-07T04:43:21.653752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-08-06T05:03:56.434875Z","title":"Shivangi Aneja, Chris Bregler, and Matthias Nießner","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.09999","last_updated":"2025-08-04T14:14:52Z","snapshot_observed_at":"2026-08-06T05:03:55.558494Z","submitted_at":"2025-08-04T14:14:52Z","title":"XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T05:03:56.434875Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2508.09999"},"observation_digest":"sha256:2b7155cdec10e2ade1c181e23d611ec7c9ba93c5acd14e345036717fe9546040","observation_id":"9723db53-1189-42d0-a22d-bf0e797c5b8b","resolution":{"observed_at":"2026-08-06T05:03:56.434875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-08-05T20:20:11.347372Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10769","last_updated":"2025-08-14T15:55:19Z","snapshot_observed_at":"2026-08-05T20:19:16.466654Z","submitted_at":"2025-08-14T15:55:19Z","title":"Modeling Human Responses to Multimodal AI Content","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T20:20:11.347372Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2508.10769"},"observation_digest":"sha256:d12e43e9e66c6801cb3fd9b13538930fcc1c131ab8cda96891ea4465e515841a","observation_id":"14a98de3-3c1c-4ed6-ae89-d56413d88fa4","resolution":{"observed_at":"2026-08-05T20:20:11.347372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2601.08611","last_updated":"2026-04-30T14:20:16Z","snapshot_observed_at":"2026-08-03T04:19:41.874593Z","submitted_at":"2026-01-13T14:56:40Z","title":"VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T15:03:13.421099Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2601.08611"},"observation_digest":"sha256:03b6df7ab39469c4b4bd177ccf21838c07c2296556f2b7609f13f3ccb4ef2f2c","observation_id":"08d505f7-91f5-482a-80cc-17304bb92e13","resolution":{"observed_at":"2026-05-16T15:08:02.153480Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2606.03348","last_updated":"2026-06-02T08:57:38Z","snapshot_observed_at":"2026-08-01T10:55:46.652720Z","submitted_at":"2026-06-02T08:57:38Z","title":"SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T11:16:44.986901Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2606.03348"},"observation_digest":"sha256:77b98c10a0b928f906164d203e1536973ec1dcf52778db4d17f9199875126118","observation_id":"d5286333-9fae-4511-b238-2708c0fa1bd7","resolution":{"observed_at":"2026-07-02T02:06:26.582500Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2606.04098","last_updated":"2026-06-02T18:03:35Z","snapshot_observed_at":"2026-07-06T23:44:14.261541Z","submitted_at":"2026-06-02T18:03:35Z","title":"When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T10:50:44.514251Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2606.04098"},"observation_digest":"sha256:588dbb714a00c0a8ff033c950b7900abbec324ab7d3f3800ffe5166911a27227","observation_id":"d7f228ae-b381-42e1-9999-a2aff0723631","resolution":{"observed_at":"2026-07-02T02:36:26.700525Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2606.22339","last_updated":"2026-06-21T05:07:20Z","snapshot_observed_at":"2026-07-06T23:57:14.069903Z","submitted_at":"2026-06-21T05:07:20Z","title":"T-IMPACT: A Severity-Aware Benchmark for Contextual Image-Text Manipulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T10:59:12.054528Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2606.22339"},"observation_digest":"sha256:e8eb275b3b19b7a8a9f7f7f5573f15b8f1010725149dd58c60be28154653c9f8","observation_id":"b74fbd4c-8bf9-40f2-b433-84cc2c5ac852","resolution":{"observed_at":"2026-07-04T08:49:42.035758Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2606.24112","last_updated":"2026-06-23T03:56:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-23T03:56:53Z","title":"ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-06-26T00:34:03.031407Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2606.24112"},"observation_digest":"sha256:aec8a63338a5884cc3287e5e69af4460eecd03c481a75bfb701a43c361a0004c","observation_id":"e2ad910d-3fe3-4b3f-91fc-0d3a88c53775","resolution":{"observed_at":"2026-07-04T16:29:57.566941Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2101.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-04T17:29:59.937670Z","title":"Cosmos: Catch- ing out-of-context misinformation with self-supervised learning","venue":null,"work_id":"31909893-46c9-428f-98d6-f0e49d79d6c0","year":2021},"citing_paper":{"arxiv_id":"2606.24627","last_updated":"2026-06-23T14:23:56Z","snapshot_observed_at":"2026-08-02T19:23:15.341233Z","submitted_at":"2026-06-23T14:23:56Z","title":"The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-06-25T23:42:53.179881Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2606.24627"},"observation_digest":"sha256:c678015f3e62664d49290aa46463f37ea3ad7c1df44627246a95bf673567581f","observation_id":"067cdf47-1774-44fb-8c37-616ceb1de199","resolution":{"observed_at":"2026-07-04T17:29:59.939040Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06278","snapshot_observed_at":"2026-07-30T18:19:45.398807Z","title":"arXiv preprint arXiv:2101.06278 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23581","last_updated":"2026-07-26T10:14:06Z","snapshot_observed_at":"2026-08-03T04:50:16.403469Z","submitted_at":"2026-07-26T10:14:06Z","title":"Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-30T18:19:45.398807Z"},"links":{"cited_paper":"/paper/2101.06278","citing_paper":"/paper/2607.23581"},"observation_digest":"sha256:f07989786325436e11d11ba9fc275ce60d44c4f22ac4412c9a4331a95f231254","observation_id":"ba35e8f0-f389-41e2-810e-0d4ec21db668","resolution":{"observed_at":"2026-07-30T18:19:45.398807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2101.06278/citation-record","integrity":"/paper/2101.06278/integrity","json":"/paper/2101.06278/citation-record.json","paper":"/paper/2101.06278"},"outbound":[],"paper":{"arxiv_id":"2101.06278","last_updated":"2021-04-21T18:00:07Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T10:32:56.005642Z","submitted_at":"2021-01-15T19:00:42Z","title":"COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning"},"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 12 inbound Pith citation observations for arXiv:2101.06278."}