{"as_of":"2026-08-12T04:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f65568fdedda6797bf81d4da6b8023e34de879328bd57b668857f1c73fd5347","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:54:50.140225Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T23:32:59.121220Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-04T23:32:59.187780Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"cited_work":{"arxiv_id":"2501.06764","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.06764","snapshot_observed_at":"2026-08-04T23:32:59.187780Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","venue":"cs.LG","work_id":"d638bb86-056f-4c2c-a952-30b6019f52e0","year":2025},"citing_paper":{"arxiv_id":"2509.08008","last_updated":"2025-09-08T10:56:07Z","snapshot_observed_at":"2026-08-08T04:17:17.556376Z","submitted_at":"2025-09-08T10:56:07Z","title":"A New Dataset and Benchmark for Grounding Multimodal Misinformation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T23:32:59.121220Z"},"links":{"cited_paper":"/paper/2501.06764","citing_paper":"/paper/2509.08008"},"observation_digest":"sha256:d8206f11448783f71e04cdf6bf7fe439800b85c067a5bb8a837bfd1d4106b870","observation_id":"f750a947-9426-418b-9316-3fd49ead4a45","resolution":{"observed_at":"2026-08-04T23:32:59.191692Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.06764/citation-record","integrity":"/paper/2501.06764/integrity","json":"/paper/2501.06764/citation-record.json","paper":"/paper/2501.06764"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.532313Z","title":null,"venue":null,"work_id":"fca0a1c6-5212-4e35-b615-848e416abd84","year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.016524Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:3bdad98318f818eb8516b071a8eef69a0a6066272619f33cd76e09a4d32aa9b9","observation_id":"fffb6042-3ce8-40a0-bd92-075e7ca76eac","resolution":{"observed_at":"2026-08-10T20:54:50.535919Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.520730Z","title":"The (minimal) persuasive advantage of political video over text,","venue":null,"work_id":"1a74fc13-13e2-4b7c-ac38-3ca87c8d976e","year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.021243Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:a388200a7523a01a89c663e18d6dd62504996d7a0628b9aacdf2ac023134f8ef","observation_id":"8fbe0d37-c0ba-4766-ac9e-e397a6b765e6","resolution":{"observed_at":"2026-08-10T20:54:50.524719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.507671Z","title":"Beyond news contents: The role of social context for fake news detection,","venue":null,"work_id":"0619c50f-bd95-4ed6-9038-612cfe59c6ce","year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.025958Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:1b312192cb038629001f348f8f78a79f27b9e2ce74ab1a2c1f1ecd50a58c06a4","observation_id":"816ad655-fe35-4aa6-8cf7-be1b3fdf1f51","resolution":{"observed_at":"2026-08-10T20:54:50.511962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.495467Z","title":"Nlp-based feature extraction for the detection of covid-19 misinformation videos on youtube,","venue":null,"work_id":"92e1d6c9-d72f-4a23-9e69-3f0048c95267","year":2020},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.030193Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:6b0952f7796050dd82d4df4ea09593a6f252081d7324649c33dc1461f330da0b","observation_id":"48287a61-d1ac-446a-bb79-4476f93b3586","resolution":{"observed_at":"2026-08-10T20:54:50.499353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.482425Z","title":"Exposing deep fakes using inconsistent head poses,","venue":null,"work_id":"c3884067-2d60-4baa-9b95-d464dd50055c","year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.035005Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:09dad2bce11bbb7a44103b4d242f17971d11b196bdabb517cbec96a6841d7ab0","observation_id":"cc9a6a11-dd5a-4a78-95c1-e348b8f81d42","resolution":{"observed_at":"2026-08-10T20:54:50.487290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.038881Z","title":"Mvae: Multimodal variational autoencoder for fake news detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.038881Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:b1d6a8117320f0f179fb4183b9be11db73f6c185834f6c0b729c384f15bbe611","observation_id":"12ce9ec2-e15a-48a8-8c99-132b248dc3ee","resolution":{"observed_at":"2026-08-10T20:54:50.038881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.043235Z","title":"Hierarchical multi-modal contextual attention network for fake news detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.043235Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:d461ec7f1730ebcdd7ac4e1ad2f4c16a54a2689af2d66f31d2c008938a857943","observation_id":"4e897828-a9bd-4c72-9a7a-69353e304a7c","resolution":{"observed_at":"2026-08-10T20:54:50.043235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.456249Z","title":"Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract),","venue":null,"work_id":"534a7175-7321-454e-9cf1-b003ee219e2e","year":2020},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.046950Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:88a393f5fef30ae09fcdf37a8b2db23025ceafa0b40c4c891507bf200cb0928b","observation_id":"ef0c617b-8328-4cee-91f2-f283303b5183","resolution":{"observed_at":"2026-08-10T20:54:50.460172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.050835Z","title":"Detecting fake news by exploring the consistency of multimodal data,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.050835Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:170668d16a8cf2434e1ab18fccc18bcabdab583d832df89a2dcd1ec3006a2880","observation_id":"85a31d28-5fe9-41e0-bb01-320a741383d8","resolution":{"observed_at":"2026-08-10T20:54:50.050835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.054420Z","title":"Leveraging intra and inter modality relationship for multimodal fake news detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.054420Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:044b5cb1595fd493a8f2707a9cf7ef64a40b2a644d149ddb268d85e2a31491b6","observation_id":"43d327c6-b754-42c5-b79b-115452957c2f","resolution":{"observed_at":"2026-08-10T20:54:50.054420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.428057Z","title":"Modeling both intra-and inter- modality uncertainty for multimodal fake news detection,","venue":null,"work_id":"1335d24c-dfb4-42ef-9b15-83a7c9f1bc4e","year":2023},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.058215Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:7c07714942de481a86690f12e735a267d8c1b0ada7285bca347a4090ee645304","observation_id":"35090cca-6056-417f-87d2-8aee111e58dd","resolution":{"observed_at":"2026-08-10T20:54:50.431896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.417344Z","title":"Entity-oriented multi- modal alignment and fusion network for fake news detection,","venue":null,"work_id":"7244b8fb-0b3f-4a19-9201-2247eddf5906","year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.061957Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:e218caae6c3aab21d06b8dbb59c4f31d123f19499df828d1fed6ccb353746e93","observation_id":"5f333320-8014-4187-b8a7-33f6bfc927a5","resolution":{"observed_at":"2026-08-10T20:54:50.421096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.405559Z","title":"A multimodal misinfor- mation detector for covid-19 short videos on tiktok,","venue":null,"work_id":"4bf2f9cf-ae93-44a0-9c93-cfb0ae1cbd62","year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.065945Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:7c741e2785aaf20a27d75466dc41144448859fa2b4c4d7c74c0e27055549970b","observation_id":"3441b9ff-2714-493c-a622-60ebdf3de1b6","resolution":{"observed_at":"2026-08-10T20:54:50.409966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.391733Z","title":"Video rumor classification based on multi-modal theme and keyframe fusion,","venue":null,"work_id":"2aafb45a-99bf-4882-9f86-0b0fa07b2136","year":2022},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.069664Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:93e3c4be9c92d07dc7725a588f66b1dc2a3270b9f52af2431caaa3717d40e017","observation_id":"7662c960-971c-48ae-800e-ecc841a3b43d","resolution":{"observed_at":"2026-08-10T20:54:50.396869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.375030Z","title":"A transformer-encoder-based multimodal multi-attention fusion network for sentiment analysis,","venue":null,"work_id":"aed01d8b-0b58-4a4d-bc26-6fc1e2ffbfab","year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.073451Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:d1c2dd67d4d8b8ee94f5f6133e4a743bf72ebf127299825fa333a734f6095997","observation_id":"97d13528-0c4d-4d08-b5f3-5302300a0766","resolution":{"observed_at":"2026-08-10T20:54:50.379405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.362546Z","title":"Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms,","venue":null,"work_id":"f2a7ccd3-491a-4696-8b49-43b949becdf6","year":2023},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.077042Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:4acc378a091235897c0b5f706ec23d4c3a87d312843a90bfb861250f78c84e36","observation_id":"e32a9122-2d7a-4373-94d9-6a30720f7e78","resolution":{"observed_at":"2026-08-10T20:54:50.366588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.350644Z","title":"Mitigating world biases: A multimodal multi-view debiasing framework for fake news video detection,","venue":null,"work_id":"4ebb6eef-e59b-4020-b480-6b16894eae57","year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.080550Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:ca91417c5bd781ecf3fe6ea52f8472b3d970376ffc5c1601e041fdc41c26ce54","observation_id":"8ea16897-9136-42b9-a0ee-067478a436e6","resolution":{"observed_at":"2026-08-10T20:54:50.354736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.338889Z","title":"Bad actor, good advisor: Exploring the role of large language models in fake news detection,","venue":null,"work_id":"13ba7739-bf03-4a89-a656-ced76be76171","year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.084230Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:478e77478b8a71c67105c3b9c6758dd814ce238c2a76c94ebdc08e9f8bf79b6d","observation_id":"27ae051f-1bde-4fff-b317-29698fae8ae8","resolution":{"observed_at":"2026-08-10T20:54:50.343008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02042","last_updated":"2024-07-02T08:16:43Z","snapshot_observed_at":"2026-08-04T01:04:11.353665Z","submitted_at":"2024-07-02T08:16:43Z","title":"Fake News Detection and Manipulation Reasoning via Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02042","snapshot_observed_at":"2026-08-10T20:54:50.087787Z","title":"Fake news detection and manipulation reasoning via large vision-language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.087787Z"},"links":{"cited_paper":"/paper/2407.02042","citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:0c69d379f23b278ae9662e86c0d73f35d5fc02adc4dc3cc91958d4083893a24d","observation_id":"0d1d826b-b983-4428-87ff-9722e09b4f63","resolution":{"observed_at":"2026-08-10T20:54:50.087787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07706","last_updated":"2022-07-31T00:50:37Z","snapshot_observed_at":"2026-07-06T12:38:13.226233Z","submitted_at":"2022-02-15T20:14:54Z","title":"Misinformation Detection in Social Media Video Posts","version":2},"cited_work":{"arxiv_id":"2202.07706","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.07706","snapshot_observed_at":"2026-08-10T20:54:50.202882Z","title":"Misinformation Detection in Social Media Video Posts","venue":"cs.CV","work_id":"a81ad323-0deb-4209-bea6-6c46c016aff1","year":2022},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.091608Z"},"links":{"cited_paper":"/paper/2202.07706","citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:266f53e75ee3b80d75eccb0a0c7f4084aabf5194b53469b1494b72e6275c48fb","observation_id":"db00e27f-569c-4d71-b0a4-7ce5c922f4b7","resolution":{"observed_at":"2026-08-10T20:54:50.209067Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.327779Z","title":"Pareto multi-task learning,","venue":null,"work_id":"c861a14e-9d2f-4629-b646-4d78e5208dcd","year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.095432Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:5ccb4e6ed7d8b240760ec8a9cad30aa038255d99e44a89de43adead8f69847a1","observation_id":"c8446f7c-fd39-4404-8bf4-9c0518fa189e","resolution":{"observed_at":"2026-08-10T20:54:50.331343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.316473Z","title":"Efficient continuous pareto exploration in multi-task learning,","venue":null,"work_id":"88ac131b-0d1c-4328-b793-f5fb63612d97","year":2020},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.099040Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:13f21eece4e89c3e6b0cf7e931665a137c6576f611bdec5b03c1eb195ca42f3f","observation_id":"c5f0e562-25de-4ae2-bc1c-35b04199409b","resolution":{"observed_at":"2026-08-10T20:54:50.320477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.102432Z","title":"Multi-task learning as multi-objective opti- mization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.102432Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:297374240533bf015193528cdcee5f66cf0cd1fdd1d5a5d19f3f040be210bdc5","observation_id":"2692b1d5-6910-4147-8e77-f4a5f1c80ece","resolution":{"observed_at":"2026-08-10T20:54:50.102432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.297788Z","title":"Pareto manifold learning: Tackling multiple tasks via ensembles of single-task models,","venue":null,"work_id":"95849e03-b796-4a65-8770-b17bacadfbdb","year":2023},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.105855Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:af477356c28129d14835715efc0c4b189764bf146794b1440b2af2731ef11282","observation_id":"7e4445cf-d695-4865-96bf-16e28932550b","resolution":{"observed_at":"2026-08-10T20:54:50.301563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.285640Z","title":"Pembot: Pareto- ensembled multi-task boosted trees,","venue":null,"work_id":"f45ee350-74cb-427b-a367-6334654c192b","year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.109393Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:67fefdb513432014a4495b05fbf9550f6a127d86da7c43a438c4aac4a4eb20ce","observation_id":"73773c23-9cee-47b6-b83e-ced91c849c21","resolution":{"observed_at":"2026-08-10T20:54:50.289826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17730","last_updated":"2024-05-28T01:19:13Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T01:19:13Z","title":"MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17730","snapshot_observed_at":"2026-08-10T20:54:50.112914Z","title":"Mmpareto: Boosting multimodal learning with innocent unimodal assistance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.112914Z"},"links":{"cited_paper":"/paper/2405.17730","citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:048113a92b98c69426d0da4e3abdf9c9c10b58be8d3fdbaaef59301493c7aec4","observation_id":"a59b392f-b151-4a05-877a-ea7634b5052d","resolution":{"observed_at":"2026-08-10T20:54:50.112914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-10T20:54:50.117000Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.117000Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:7f4d2c151bd240186d1e3132fd2a97bb7109877942febf20658d15ed0f599a6a","observation_id":"de069242-1ee8-4d24-8ea2-ae02c541f22e","resolution":{"observed_at":"2026-08-10T20:54:50.117000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.120979Z","title":"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.120979Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:3e96642388aed3257eb20ee6689f53f312bde121dc9408db4936e0092f24e604","observation_id":"e9df56f6-8f38-4f7f-b206-c1cf010f8c09","resolution":{"observed_at":"2026-08-10T20:54:50.120979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.01992","last_updated":"2017-02-07T13:05:19Z","snapshot_observed_at":"2026-08-05T13:29:33.669402Z","submitted_at":"2017-02-07T13:05:19Z","title":"Gated Multimodal Units for Information Fusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.01992","snapshot_observed_at":"2026-08-10T20:54:50.125021Z","title":"Gated multimodal units for information fusion,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.125021Z"},"links":{"cited_paper":"/paper/1702.01992","citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:49db5d3b2ea1914cc187659e0e321725a4deb2e637ddb72b5254e6639af0d998","observation_id":"74a8f771-1a75-4942-8767-b9e94361f9bf","resolution":{"observed_at":"2026-08-10T20:54:50.125021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:54:50.265471Z","title":"Revisiting frank-wolfe: Projection-free sparse convex opti- mization,","venue":null,"work_id":"0d01ea65-07a1-4f85-bc69-34b16b0ccb2f","year":2013},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.128976Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:9b16d5cfb9b631c9ca1d15333d69b8b0dbaa685ecd82f8c67643e6fbd2344b84","observation_id":"b8b09ee1-c792-4ae1-9f28-aab3e129f532","resolution":{"observed_at":"2026-08-10T20:54:50.269925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.252802Z","title":"A corpus of debunked and verified user-generated videos,","venue":null,"work_id":"7131f8e7-bd16-40e9-9e81-34f094a810b3","year":2019},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.132810Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:b229a051e5e27d351627c7dc5626ef022b44736f5bfc147739a37f3e669feb1c","observation_id":"1808cf65-1628-490a-bdcc-626691144b06","resolution":{"observed_at":"2026-08-10T20:54:50.257746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.240077Z","title":"Using topic modeling and adversarial neural networks for fake news video detection,","venue":null,"work_id":"0db7165e-91fb-463e-94ae-f26538c91cf3","year":2021},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.136595Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:57a18d10c068b7c84bbe1718bbf6e3a6e4e051b442eefa305a102577443b3cab","observation_id":"887bc992-696d-4827-a837-c8a5d066e025","resolution":{"observed_at":"2026-08-10T20:54:50.244070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T20:54:50.228376Z","title":"Cross-modal contrastive learning for multimodal fake news detection,","venue":null,"work_id":"e310bbd2-c5e9-4e08-bc98-a0aee1c5c961","year":2023},"citing_paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:50.140225Z"},"links":{"citing_paper":"/paper/2501.06764"},"observation_digest":"sha256:1b5aa9a7f73d965f78341ee650bbf6ea6c1ec90499358dad14fa52f5a5b1a43f","observation_id":"1de14a8f-d0a2-47d1-9551-a1e0502034af","resolution":{"observed_at":"2026-08-10T20:54:50.232128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.06764","last_updated":"2025-01-24T09:23:18Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T15:25:56.017340Z","submitted_at":"2025-01-12T10:14:29Z","title":"MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":33},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2501.06764."}