{"as_of":"2026-08-09T07:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9f93a1fd5e08d550f5c4077c24e9900ba5fcac6c83fa2455347a805cb9384dd","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T03:07:39.728794Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2606.31367/citation-record","integrity":"/paper/2606.31367/integrity","json":"/paper/2606.31367/citation-record.json","paper":"/paper/2606.31367"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.390624Z","title":"How non-probative photos shape belief.–Stephan Lewandowsky, Cognitive Science, page 90, 2020","venue":null,"work_id":"d136f254-6e0b-4677-acb6-c52fa355b4a6","year":2020},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:dbd5ee7a4bca56d10de408e709b571df754213542747a2b6f06092463b04994b","observation_id":"fd6e5152-3c0e-45ba-b7ff-ef57e46e9881","resolution":{"observed_at":"2026-07-07T02:43:18.393447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.306447Z","title":"Is a picture worth a thousand words? an empirical study of image content and social media engagement.Journal of marketing research, 57(1):1–19, 2020","venue":null,"work_id":"5a8e8149-9368-4e52-a37a-727fdb3ae309","year":2020},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:ba8597602f629c7291efeed65796170d450a0f1a50bfa9229b88cec37d57756e","observation_id":"a3d1ad38-3de7-43df-b17c-c0bc2948d689","resolution":{"observed_at":"2026-07-07T02:43:18.308842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.299328Z","title":"Multimodal automated fact-checking: A survey","venue":null,"work_id":"ff9441c7-0aef-402b-99e1-4941e5147a2c","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:88c3924c756402ab226b45ca2ea0393c845ed98ba14a2479ac1673f7e8aad2ef","observation_id":"9679aeae-8925-463c-85af-28674a479b4b","resolution":{"observed_at":"2026-07-07T02:43:18.301858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.284032Z","title":"Factify: A multi-modal fact verification dataset","venue":null,"work_id":"5a1568f7-690a-4393-964c-643e71ce08fe","year":2022},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:428d0f9af76a668550c272b8207ccc57a75f65364aaf4eac6fdaea1150b60484","observation_id":"e0a73f72-14d0-44d3-b7d0-38f8d6ad142f","resolution":{"observed_at":"2026-07-07T02:43:18.286435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.324030Z","title":"Newsclippings: Automatic generation of out-of-context multi- modal media","venue":null,"work_id":"9da5ed6d-e875-4ea7-be71-868cb2a02e7d","year":2021},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:f1462f068aae59a6404be507a7660baffb4d29e1454df8d5ed3ae91c5279e570","observation_id":"1e7c3bda-3ed8-4204-b10d-eac233dd616f","resolution":{"observed_at":"2026-07-07T02:43:18.326474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.426705Z","title":"Cosmos: Catching out-of-context image misuse using self-supervised learning.Proceedings of the AAAI Conference on Artificial Intelligence, 37(12):14084–14092, Jun","venue":null,"work_id":"b67af9f5-5955-4b5e-8a2a-877561e9a323","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:046b1b478358e43608064940675114b5f7d7e6bc481ead7e8a150b4be0d9e8cd","observation_id":"3075c81b-99ef-4022-837c-eca8bb571e5f","resolution":{"observed_at":"2026-07-07T02:43:18.429171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.398641Z","title":"Twitter-comms: Detecting climate, covid, and military multimodal misinformation","venue":null,"work_id":"cb58e5f2-2e1f-4efd-a2d3-5219abff436e","year":2022},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:a1f495707e88bccb988328450bfcf58df3203b795c63ddddf1d9504aef87e519","observation_id":"15169a28-32f2-4b4c-a0e5-3d857d99124f","resolution":{"observed_at":"2026-07-07T02:43:18.401050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.355699Z","title":"Deep multimodal image-repurposing detection","venue":null,"work_id":"e2d0c2e0-03dc-4d5e-9e83-76fe904e9aa7","year":2018},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:5d4251edf774b63d990a00cee413ebb99e75e2e9f43ce506d804c4f3c5ce8b1d","observation_id":"5d30614c-9a11-4208-a728-1c02287ff7bd","resolution":{"observed_at":"2026-07-07T02:43:18.357886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.317245Z","title":"Multimodal analytics for real-world news using measures of cross-modal entity consistency","venue":null,"work_id":"39c5a8ef-8f18-4574-9ef1-85e07e832d72","year":2020},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:90d1eeb3d5fb450fb4a1956f86484862c52049e2a1fe651db307382225ed5839","observation_id":"e0449f0e-1a15-4a96-867a-f3f2fafbf6f8","resolution":{"observed_at":"2026-07-07T02:43:18.319557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.320688Z","title":"Verite: a robust benchmark for multimodal misinformation detection accounting for unimodal bias.International Journal of Multimedia Information Retrieval, 13(1):4, 2024","venue":null,"work_id":"52eb9a6e-d7da-4b1c-909e-41a3b0f274ef","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:0a4589f42f2379359363910d273f065277105d9dd707abf7220ecba7c8cc07ab","observation_id":"1705f5d4-c4ab-451d-b888-5e50a9268ce4","resolution":{"observed_at":"2026-07-07T02:43:18.322933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.433747Z","title":"Averimatec: A dataset for automatic verification of image-text claims with evidence from the web.Advances in Neural Information Processing Systems, 38, 2026","venue":null,"work_id":"49569301-a8f7-4803-93db-425508386308","year":2026},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:4f20aad92fa35c08e73e19040a5aabf1dc4f86569fa2221f6543f34bcad5d648","observation_id":"711744db-d08c-440e-9005-2bf88d7c7778","resolution":{"observed_at":"2026-07-07T02:43:18.439022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2601.08611","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.08611","snapshot_observed_at":"2026-07-04T16:29:57.568053Z","title":"VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking","venue":"cs.IR","work_id":"2583b06c-8027-49f7-a587-2b5f58ad66a4","year":2026},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"cited_paper":"/paper/2601.08611","citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:acf87591d5277f1488b18961ed337be5e2470970f6e8857ee41ad34c558d7a68","observation_id":"6674fc69-7beb-4124-9c30-90538c8fe7b0","resolution":{"observed_at":"2026-07-01T11:55:43.640850Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2508.09999","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.09999","snapshot_observed_at":"2026-07-04T16:29:57.562619Z","title":"Liar, Liar Pants on Fire","venue":null,"work_id":"e71ac5e2-ed6d-4030-a0ec-0a82b540b92c","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"cited_paper":"/paper/2508.09999","citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:0bbdadb36e2a15af6d39c11e61f8248e424c3b88261e7b8d60feb9df02ec0ecf","observation_id":"cec642bd-b386-41bf-8fec-9d8c74b93d66","resolution":{"observed_at":"2026-07-01T11:55:43.630788Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.373855Z","title":"Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources","venue":null,"work_id":"91b39157-45ca-4287-8d26-ab3a835ea80c","year":2022},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:dc9201fbe7b75c5bb4de078a7faaddb4c516bc8b98dc471f66853268680b8c05","observation_id":"d370d39b-3b16-453b-ba07-1d52ea97620a","resolution":{"observed_at":"2026-07-07T02:43:18.376411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.384572Z","title":"Ecenet: explainable and context-enhanced network for muti-modal fact verification","venue":null,"work_id":"d5e2e93e-ca34-43fd-8e2a-5a7c9d3f6b8a","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:6e0cc411cdd773189d4274ee70d80f5caf815739b5b01a15355235c0be814d2a","observation_id":"fa667bf0-a9ae-4d3c-93a2-a4ce200c371a","resolution":{"observed_at":"2026-07-07T02:43:18.386701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.269480Z","title":"Red- dot: Multimodal fact-checking via relevant evidence detection.IEEE Transactions on Computational Social Systems, 2025","venue":null,"work_id":"b72822a2-c865-4158-bfee-739e24322928","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:27829fcfd4579dc7e04af59c1f0128e1499ba051611482e6f4597a6d5ae53956","observation_id":"1236b4b9-4f29-49e4-ad37-74d3fd8dd586","resolution":{"observed_at":"2026-07-07T02:43:18.271876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.381477Z","title":"Petrantonakis","venue":null,"work_id":"c54f2d97-114b-4601-853f-123da705dab8","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:3fb9020bac22d7858d05b60f5f34929c8fd21d9227bef503835bd7f4e5a144bd","observation_id":"19f9efbd-5abe-4dad-8235-d5874bdd2710","resolution":{"observed_at":"2026-07-07T02:43:18.383466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.331216Z","title":"E2lvlm:evidence-enhanced large vision-language model for multimodal out-of-context misinformation detection, 2025","venue":null,"work_id":"91d5083b-0c79-441b-ace2-3244f3c72f90","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:7a50bd28a36d31aa478624d6752f1c75f6b912fd99a4ee437b2271708b5dcf3c","observation_id":"a0fbd3d9-91da-4a01-a08e-8d1db32fcda0","resolution":{"observed_at":"2026-07-07T02:43:18.333675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.334743Z","title":"Defame: Dynamic evidence-based fact-checking with multimodal experts","venue":null,"work_id":"79b9df3d-aa77-4d9c-b827-446ed5b01234","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:bea58df9db1b3baa3c8efde54ec54fb68f62a1931583ceb29fdb42ca6cb1e2c8","observation_id":"f19a1a75-6fc5-4b8b-b36a-6245989a28c6","resolution":{"observed_at":"2026-07-07T02:43:18.337295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.276605Z","title":"Fact-checking meets fauxtography: Verifying claims about images","venue":null,"work_id":"d6179edf-339f-44cd-abd8-287089a6c5b0","year":2019},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:d83b48d029f70f3e43b0c7b4e7d9b970870993ee54ae3e6869769ff96f983faf","observation_id":"c3506bff-7569-4c64-8cb2-342ce421357a","resolution":{"observed_at":"2026-07-07T02:43:18.278905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.309951Z","title":"Novel visual and statistical image features for microblogs news verification.IEEE transactions on multimedia, 19(3):598–608, 2016","venue":null,"work_id":"7ed700ae-84a0-4613-8369-964d7bab75c3","year":2016},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:3c29d2dc6676b7ec105dafd3adee07569f41894e55f8cf4be599d79e11140daa","observation_id":"c6e3138e-4723-4bbf-9d27-bbc6897b50f8","resolution":{"observed_at":"2026-07-07T02:43:18.312326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.287487Z","title":"Verifying multimedia use at mediaeval 2015","venue":null,"work_id":"d9526f10-da27-4b3c-9646-53a1b2d9325c","year":2015},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:3ccb82654a6f6084034e2a622fe46517ee373d5a45906a5b72670bf70d61e258","observation_id":"aa2877a6-ea40-4cb9-87bf-ac37339570d4","resolution":{"observed_at":"2026-07-07T02:43:18.289836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.443910Z","title":"Verifying information with multimedia content on twitter: a comparative study of automated approaches.Multimedia tools and applications, 77:15545–15571, 2018","venue":null,"work_id":"b7630599-f054-430b-b0bc-2eb4b0310819","year":2018},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:7bf8770e59e214b50c06784fcec67e5bafb973ca944a5313637f705c527f7ede","observation_id":"9f78249f-67cc-4c61-8d70-c7580de0a988","resolution":{"observed_at":"2026-07-07T02:43:18.450096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.291104Z","title":"Syn- thetic misinformers: Generating and combating multimodal misinformation","venue":null,"work_id":"725bdac7-fc4e-42cd-b668-01c197efa3cd","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:25876a5990210ebd68521adf7cba8bd5f616740e616daa822a72ec4f1f66b90b","observation_id":"4fddf245-0e31-4cbb-ac9d-99fa579260ed","resolution":{"observed_at":"2026-07-07T02:43:18.293453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.06010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T11:55:43.632086Z","title":"Papadopoulos, Christos Koutlis, Symeon Papadopoulos, and Panagiotis C","venue":null,"work_id":"f1fa1454-2ad7-4bfa-b056-36cd06bedf33","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:86932b04d51dc21451780b23c39c40843d4d0db5c4f1c018096a8a0ff7a4b586","observation_id":"b2addd80-4223-47b4-a0d0-a44b58d3ecda","resolution":{"observed_at":"2026-07-01T11:55:43.634000Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.272921Z","title":"Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection","venue":null,"work_id":"f08620fa-e504-4056-8a21-369378ae382b","year":2020},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:0b73deea316dbeb40e92efcbea7932b314e7cd4e9cc273dca35384b895df44f9","observation_id":"69787b96-19a7-4ec4-8981-c35a130b29b8","resolution":{"observed_at":"2026-07-07T02:43:18.275528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.341744Z","title":"Missing counter-evidence renders nlp fact-checking unrealistic for misinformation","venue":null,"work_id":"6c16fea1-727c-4041-b081-566c6fe248d5","year":2022},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:05c797c5b5e8f30c69005bbac3770e5e2b4827f7815d645db978a80dc0673807","observation_id":"5b40da42-73d8-4f28-8e25-cd6848d16d44","resolution":{"observed_at":"2026-07-07T02:43:18.344211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2307.10475","last_updated":"2023-09-12T18:51:05Z","snapshot_observed_at":"2026-07-06T15:56:11.474781Z","submitted_at":"2023-07-19T22:14:49Z","title":"Findings of Factify 2: Multimodal Fake News Detection","version":2},"cited_work":{"arxiv_id":"2307.10475","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.10475","snapshot_observed_at":"2026-07-01T11:55:43.640086Z","title":"Findings of factify 2: multimodal fake news detection.arXiv preprint arXiv:2307.10475, 2023","venue":null,"work_id":"780d1ba6-63f8-4300-ad3f-c289fea9145c","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"cited_paper":"/paper/2307.10475","citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:5773d20d74e4b1948f31c3da1f752ccccd91027732c8b9fe86243bdec1dbffa6","observation_id":"2c3ef6bc-9cd8-4245-b723-66d9c71fd47a","resolution":{"observed_at":"2026-07-01T11:55:43.642461Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.338357Z","title":"Credible, unreliable or leaked?: Evidence verification for enhanced automated fact-checking","venue":null,"work_id":"ff2eac5e-a5ad-46b9-8d4b-51a926933e3e","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:846fe24b696717b5f7e6320620f8c288340de6050e1351a25ef440d69ef17802","observation_id":"01b3335f-d81b-4906-9ef4-47af9b92566c","resolution":{"observed_at":"2026-07-07T02:43:18.340696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2510.23508","last_updated":"2026-06-10T08:47:23Z","snapshot_observed_at":"2026-08-05T04:11:02.575896Z","submitted_at":"2025-10-27T16:44:35Z","title":"M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset","version":3},"cited_work":{"arxiv_id":"2510.23508","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.23508","snapshot_observed_at":"2026-07-04T16:29:57.570793Z","title":"Preprint","venue":"cs.CL","work_id":"a6b6013a-4c8b-4f88-8cad-3f339c22d2e4","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"cited_paper":"/paper/2510.23508","citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:c8805d060995f5d7333a47144338767b2d5acdcd94398dc7252af600ddbc7190","observation_id":"392aeac0-2031-4e43-ada4-98e002c489d3","resolution":{"observed_at":"2026-07-01T11:55:43.638789Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.422827Z","title":"Mmfakebench: A mixed-source multimodal misinformation detection benchmark for lvlms","venue":null,"work_id":"4754a2db-220a-4d6e-b02d-ced892842f75","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:88612c3d59faff865f6292dbb1c7a5cd841fe8670610e81e38cf00f94a6dbb0a","observation_id":"97ac36ba-4e41-425e-9d1f-812f6e41006c","resolution":{"observed_at":"2026-07-07T02:43:18.425074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.359002Z","title":"Community notes reduce engagement with and diffusion of false information online.Proceedings of the National Academy of Sciences, 122(38):e2503413122","venue":null,"work_id":"39420398-0726-4379-b7bb-6581d06447fd","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:935f86cbc54934ed416ffbb72fd45f9b8eabe1c008db9822b8639853b5b1d800","observation_id":"88586ba1-b862-48f4-aef7-7c09c7770765","resolution":{"observed_at":"2026-07-07T02:43:18.361337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.294530Z","title":"Can crowdchecking curb misinformation? evidence from community notes.Information Systems Research","venue":null,"work_id":"c6782f79-c5f4-4053-bf87-8ba92830aa46","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:7255e33a4f561ca89430600149a057625451b97e5315f832e805f0f81e7a8493","observation_id":"aaf8a0df-5a85-40e5-80e2-0cbf6b31af98","resolution":{"observed_at":"2026-07-07T02:43:18.297670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.440159Z","title":"Who checks the checkers? exploring source credibility in twitter’s community notes.Journal of Computational Social Science, 9(1):24, 2026","venue":null,"work_id":"6550a258-de1b-4613-823e-eabeaf4689f9","year":2026},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:af2a0e92f9549e63d3a9e5e53472786ab388c889769ffb3916b4c704c1330c02","observation_id":"c48da47a-7499-4557-b22d-b12c103af586","resolution":{"observed_at":"2026-07-07T02:43:18.442813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.411637Z","title":"On the limitations of llm-synthesized social media misinformation moderation","venue":null,"work_id":"4927f277-69c0-42d3-8114-8c1d1bd85925","year":null},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:3144796035bb7ddfad8db98312e25a7489c2d2780562aacbef4e1d55caf05de8","observation_id":"39df8793-9524-44b8-8256-e6777c0e2525","resolution":{"observed_at":"2026-07-07T02:43:18.414605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.348483Z","title":"Hellofresh: Llm evalutions on streams of real-world human editorial actions across x community notes and wikipedia edits","venue":null,"work_id":"f6eb44e0-521b-4027-a4ea-68ffdd9a2c95","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:1a79da72926d73a239305eb0a9040bd317b6e0cbda4568bd617872ae4454d3fd","observation_id":"9094e268-468a-41e2-82bb-9138b4d93212","resolution":{"observed_at":"2026-07-07T02:43:18.351156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.24810","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T11:55:43.625230Z","title":"Communitynotes: A dataset for exploring the helpfulness of fact-checking explanations.arXiv preprint arXiv:2510.24810, 2025","venue":null,"work_id":"7dcaf29e-2c02-4a12-a59a-152984a74936","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:306e04055a22d56c7ca7f2d082b1a6b2a97c6d27706aa66e66cd9d5819bc23ad","observation_id":"e4f83299-45ae-4f80-ba0e-50d886545639","resolution":{"observed_at":"2026-07-01T11:55:43.627365Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2510.11423","last_updated":"2026-06-01T13:06:09Z","snapshot_observed_at":"2026-08-04T10:14:22.604816Z","submitted_at":"2025-10-13T13:57:23Z","title":"Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation","version":4},"cited_work":{"arxiv_id":"2510.11423","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.11423","snapshot_observed_at":"2026-07-02T11:16:53.942173Z","title":"Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation","venue":"cs.SI","work_id":"70f12fb5-4d5d-4ad9-b866-d9bb69996437","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"cited_paper":"/paper/2510.11423","citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:b587f95b38a02f1246bedf2c7c595e63d72ab17a94da0d3b4060154aabcc5e63","observation_id":"8149674c-a7ba-465f-a635-843f71d33295","resolution":{"observed_at":"2026-07-01T11:55:43.636939Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.430303Z","title":"‘humor, art, or misinformation?”: A multimodal dataset for intent-aware synthetic image detection","venue":null,"work_id":"3b51f981-ab06-4646-a0a6-5e3dda8106ec","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:96d5556719b3a4236a5f34ffdec6a177b4cb5bf90aac591b164d676ddff9d29a","observation_id":"4afa3674-4eb1-4cac-b02b-bf0589c82403","resolution":{"observed_at":"2026-07-07T02:43:18.432794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.345228Z","title":"Support or refute: Analyzing the stance of evidence to detect out-of-context mis-and disinformation","venue":null,"work_id":"a87ecad6-5116-417b-ada9-a0bc08248c07","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:0055a4f8dd7b8b0c37d8c68dabe0ce76280f89ccdb1c5337d760a4e7f4a3041f","observation_id":"d408d56a-df44-4ca3-9b44-9a9f5b404a73","resolution":{"observed_at":"2026-07-07T02:43:18.347307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.415605Z","title":"Multimodal misinformation detection using large vision-language models","venue":null,"work_id":"faee7b7d-f5d3-4f18-8a1d-90d863b29825","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:0541e0be44fe2f07355a024728ae2325c6269033ff7bdf679c443651a79c9fed","observation_id":"03bf25c9-5f87-47bf-86ce-21d7cc7bb531","resolution":{"observed_at":"2026-07-07T02:43:18.417884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.405174Z","title":"Sniffer: Multimodal large language model for explainable out-of-context misinformation detection","venue":null,"work_id":"639f7fde-9006-43a8-bdcf-8aef108d7f52","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:b3d05f9c38bae406486c3ee321d2b4111d8a8a653ee615e29c68fd3e4cfb088c","observation_id":"5a053867-34b6-4243-863b-291ee8cecb4d","resolution":{"observed_at":"2026-07-07T02:43:18.407484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.408545Z","title":"Mad-sherlock: Multi-agent debates for out-of-context misinformation detection","venue":null,"work_id":"352ad5fa-3892-4707-bfc3-7808b10c2561","year":2024},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:061962fb9cc863654478e4491a7a1f1a630ba814446abfe642fcfd89b23c2d04","observation_id":"5a9f1af2-5f29-46f1-9f35-646291933b39","resolution":{"observed_at":"2026-07-07T02:43:18.410711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.377445Z","title":"Trust-vl: An explainable news assistant for general multimodal misinformation detection","venue":null,"work_id":"0728c851-2cda-4172-a5c1-c4c62baf60f9","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:145d3e02261b5d7b75fb7c94b78e683ca5e53ad4e5aceac231b24b5aaf975317","observation_id":"045e3c2c-06ca-4f33-ae3c-285eb6150117","resolution":{"observed_at":"2026-07-07T02:43:18.380448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.369880Z","title":"The synthetic media shift: Tracking the rise, virality, and detectability of ai-generated multimodal misinformation","venue":null,"work_id":"a1a17984-212a-4251-896b-13b059ce185d","year":2026},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:57d0f13ebbafd34a511957c81f47ea4bb47c7b3c4affa24e439099c082aff74e","observation_id":"eb5607dc-e770-44c9-a234-c7a7b09cc4a3","resolution":{"observed_at":"2026-07-07T02:43:18.372608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.365938Z","title":"A survey on deep learning-based image forgery detection.Pattern Recognition, 144:109778, 2023","venue":null,"work_id":"c109ba54-0ee3-48a9-882c-ce7fbefb380b","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:db1b8f62b84dfda3cefcd1917d287f6001628e91cc48db6c608da3d38ddf217d","observation_id":"085e02dd-6800-48e1-b5b6-383e71454bf5","resolution":{"observed_at":"2026-07-07T02:43:18.368681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.313426Z","title":"A survey of defenses against ai-generated visual media: Detection, disruption, and authentication.ACM Computing Surveys, 58(5):1–35, 2025","venue":null,"work_id":"968afced-8205-41d2-9a11-d8b421da5f97","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:5ce8a977cf7564255dce73229664dfdd8a4ee79430dd516b9091cc2684dbf6b6","observation_id":"966b06e7-f07d-40c1-b2dd-1bfa242d7c51","resolution":{"observed_at":"2026-07-07T02:43:18.316082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.362325Z","title":"From chaos to clarity: Claim normalization to empower fact-checking","venue":null,"work_id":"e5f39d3a-6bfd-4b20-9330-00a4fa85dc9b","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:54fb93de1ab8b0238110ebc739cc7911f66ed347b6386911fb10820cc18f8860","observation_id":"adc02688-65d0-4735-91c9-6d812611736c","resolution":{"observed_at":"2026-07-07T02:43:18.364817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.394439Z","title":"Show me the work: Fact-checkers’ requirements for explainable automated fact-checking","venue":null,"work_id":"e2e0aed0-fc8f-4335-99fb-c1bce23a75d5","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:f6f621f9b50adb806bea582982c9cfd9970e6aedb0e752e7cf460d659ec59aca","observation_id":"ed6c36a4-a3bb-42db-b195-47fa20e8b523","resolution":{"observed_at":"2026-07-07T02:43:18.397503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.352264Z","title":"True or false: Studying the work practices of professional fact-checkers.Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1):1–44, 2022","venue":null,"work_id":"5b1f17e3-0cd2-4728-b906-dd286cdbca0b","year":2022},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:b43a4ecb32918d37e22f8500fbefd765b8cad838137985784e0fb6436f78f352","observation_id":"857afcf5-3be7-4a78-9dc2-47183c52370e","resolution":{"observed_at":"2026-07-07T02:43:18.354717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.402065Z","title":"Scientific fact-checking: A survey of resources and approaches","venue":null,"work_id":"9f674f3d-a9a9-4e8c-a0be-40d01f6b10f7","year":2023},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:79b82a9c168693594c1dc6fc6441a4c8d708a6007019b08f08a12f43280aea77","observation_id":"0f960d04-9aba-42bf-b146-4aa4e07c600d","resolution":{"observed_at":"2026-07-07T02:43:18.404263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.419072Z","title":"Minicpm-v: A gpt-4v level mllm on your phone.Nat Commun 16, 5509 (2025), 2025","venue":null,"work_id":"66db2830-73cf-422a-80df-a82ff3ece42e","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:d1d435de9b0c89436e1a85cf366b36739aecf6ec8233157bfe6cb94b5a307a26","observation_id":"1bcff9be-67f4-487d-b5e0-a6f7a725b7b0","resolution":{"observed_at":"2026-07-07T02:43:18.421718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T08:06:57.984523Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"f5366ac8-80a2-4ab6-8fcb-c4327ceb34bd","year":2021},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:be117d9f81ea652f89b23b12d4297118d1302e297ba61992d547e614b124b42b","observation_id":"907224c5-d496-4455-a7e2-47800c11e05e","resolution":{"observed_at":"2026-07-07T02:43:18.282415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.303038Z","title":"Supervised learning of universal sentence representations from natural language inference data","venue":null,"work_id":"5163cca1-536e-4d8e-a7f0-05c9dee46824","year":2017},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:aeee2c56d3d719cf4c4de73b7e736a198cc9666c6dcfc3e4c08aa0afae1f26e2","observation_id":"9ec9f658-2ca7-44bb-8114-3ceb5903ae9f","resolution":{"observed_at":"2026-07-07T02:43:18.305472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.387662Z","title":"External reliable information-enhanced multimodal contrastive learning for fake news detection","venue":null,"work_id":"53d18606-9630-4d25-9bc9-8c3927b5fd38","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:ad1b0607a8b1103ff83ab4a5f43eb14c8a8b05c9f15cc19277ba9bef4a256a22","observation_id":"478b01bf-4199-40af-b3db-830aa72e6390","resolution":{"observed_at":"2026-07-07T02:43:18.389702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T02:43:18.327766Z","title":"A survey on automatic credibility assessment using textual credibility signals in the era of large language models.ACM Transactions on Intelligent Systems and Technology, 2025","venue":null,"work_id":"8f9ad91e-85b0-4e62-9476-b5adf0e1275b","year":2025},"citing_paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-01T03:07:39.728794Z"},"links":{"citing_paper":"/paper/2606.31367"},"observation_digest":"sha256:479531e3cc940ddac7d948e819258dfe0606d6c9f8a259ead686448997bc6294","observation_id":"a5737081-7c25-49ee-9fa0-dca12f092ff1","resolution":{"observed_at":"2026-07-07T02:43:18.330109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2606.31367","last_updated":"2026-06-30T08:59:12Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-07-31T17:29:23.733671Z","submitted_at":"2026-06-30T08:59:12Z","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":5,"verified_fuzzy":49},"total_outbound_references":56},"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 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.31367."}