{"as_of":"2026-08-17T00:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e71a13a213a3e0ff6e2e71d0f88f9f14ad49ee6b8ac9e32c13ef195dfbf10993","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:37:51.897719Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T23:48:38.098404Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T21:01:16.158327Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"cited_work":{"arxiv_id":"2507.13415","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13415","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Seer: Semantic enhancement and emotional reasoning network for multimodal fake news detection","venue":null,"work_id":"85dec430-d911-4c24-95bf-2680a308fa35","year":2025},"citing_paper":{"arxiv_id":"2512.20670","last_updated":"2026-05-04T05:59:52Z","snapshot_observed_at":"2026-08-03T02:44:37.015360Z","submitted_at":"2025-12-19T10:20:32Z","title":"Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T21:00:09.342056Z"},"links":{"cited_paper":"/paper/2507.13415","citing_paper":"/paper/2512.20670"},"observation_digest":"sha256:2a30805c279f8e0ee75b4ac800a07989e0bb75b949ad9053e118d5ca070e7ba1","observation_id":"920ed284-12dd-4171-9f40-af0b52e5f8c3","resolution":{"observed_at":"2026-05-16T21:01:16.161079Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.13415","snapshot_observed_at":"2026-07-14T23:48:38.098404Z","title":"arXiv preprint arXiv:2507.13415 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.19294","last_updated":"2026-07-01T07:54:53Z","snapshot_observed_at":"2026-08-13T22:38:21.803721Z","submitted_at":"2026-03-10T21:00:05Z","title":"Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-14T23:48:38.098404Z"},"links":{"cited_paper":"/paper/2507.13415","citing_paper":"/paper/2603.19294"},"observation_digest":"sha256:185b2f72466123fa64f723c743034c2259e1aa58e432a326b2ae84b69ed0b02a","observation_id":"823fb206-547a-4044-b506-8d2cf9998a31","resolution":{"observed_at":"2026-07-14T23:48:38.098404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.13415/citation-record","integrity":"/paper/2507.13415/integrity","json":"/paper/2507.13415/citation-record.json","paper":"/paper/2507.13415"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:37:56.196552Z","title":"Verifying multimedia use at mediaeval 2015","venue":null,"work_id":"5da4aa93-9687-43df-aa04-7e2be34d0fe5","year":2015},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.065138Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:9397dbd6b1caebcd61ecfa61863a242d2a884f0dbcdae3a17717d431b95ddb01","observation_id":"df257966-9eae-420f-885b-25027481857a","resolution":{"observed_at":"2026-08-06T16:37:56.280450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:56.061698Z","title":"Cross-modal ambiguity learning for multimodal fake news detection","venue":null,"work_id":"cf040794-d55e-4a45-835e-4e467808db1e","year":2022},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.159880Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:8a0e702754b3f9e59d40698bd7bf65f5f36a0bfd34843a8c9153ef99139e7323","observation_id":"a23ab77a-49cb-4584-aad1-8585b4a3c2a9","resolution":{"observed_at":"2026-08-06T16:37:56.107058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.943842Z","title":"Effi- cient source detection in incomplete networks via sensor deployment and source approaching.IEEE Transactions on Information Forensics and Security, 2025","venue":null,"work_id":"7217cb57-4b4e-49d3-8c91-71a6929c0723","year":2025},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.226724Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:d9adb6dc567763a4abbb6283b850fd1ff927048da6a13f5162d27bdff51c42ff","observation_id":"e075922a-e85b-412d-a979-a40398c8840f","resolution":{"observed_at":"2026-08-06T16:37:55.998032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.816796Z","title":"Ccgn: consistency contrastive-learning graph network for multi-modal fake news detection.Multimedia Systems, 31(2):119, 2025","venue":null,"work_id":"40568d9e-844d-4226-b2b7-4bebb5ca7b5f","year":2025},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.352106Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:64e7b6b222ee06ac93f1b869095994984c3f2dd61a7e83c8a956adb99aeff459","observation_id":"171a8e49-9098-4364-8b80-42056d5f4705","resolution":{"observed_at":"2026-08-06T16:37:55.869140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-06T16:37:49.434043Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding.arXiv preprint arXiv:1810.04805, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.434043Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:0235100e26707f5a241baf12651d6451f8ea0fdb8f68db35f004b9186ddbf0c1","observation_id":"80bb7b06-9de5-43e7-bf3f-895542db2247","resolution":{"observed_at":"2026-08-06T16:37:49.434043Z","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":"2026-08-06T16:37:55.700059Z","title":"Kan: Knowledge-aware attention network for fake news detection","venue":null,"work_id":"d5ec1ce3-af84-4759-a370-0a6fc4500b44","year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.544658Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:6481092a7c279feb67d13290f65d9768f41c8a5765d9f2b9aac7c1bbd443c118","observation_id":"61221162-428f-4ffb-bbe6-b3a8d8ae4e83","resolution":{"observed_at":"2026-08-06T16:37:55.759291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.572026Z","title":"Multimodal fake news detection through data augmentation- based contrastive learning.Applied Soft Computing, 136:110125, 2023","venue":null,"work_id":"4414962e-07e0-4cf8-975e-a9c2c1a550c2","year":2023},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.625900Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:f81217e295534add8c688949c443e086acee17d2e2678eae13df1b0ee68a74ad","observation_id":"addbc795-e6b8-407e-affd-11eb8c30296d","resolution":{"observed_at":"2026-08-06T16:37:55.628212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.444292Z","title":"Multimodal fusion with recurrent neural networks for rumor detection on microblogs","venue":null,"work_id":"8f75ef17-c0af-4276-9064-7121c45caa5c","year":2017},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.718256Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:cc33f5a249091615b06673a70466acd1e77170b8675d81d7f10d902e5a29a12c","observation_id":"3c163edf-6e31-48ae-8272-a05259150af8","resolution":{"observed_at":"2026-08-06T16:37:55.527151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.309908Z","title":"Mvae: Multimodal variational autoencoder for fake news detection","venue":null,"work_id":"e61847b2-981e-48c2-9ae8-9cc69107b6d4","year":2019},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.815722Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:93669bac7e728632cea07b69d310eb49c1a14f528bb35ccf8e564b657712a67c","observation_id":"d1f87df0-8fb5-4026-a608-4c5f2e6ce959","resolution":{"observed_at":"2026-08-06T16:37:55.356266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:55.191626Z","title":"Rumor detection with field of linear and non-linear propagation","venue":null,"work_id":"a61d3d68-7dd6-4aac-aba2-5c21f7194738","year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.915280Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:3a2f65555c257fb95090f899c7fd9953c29dfe0d43f547f1e9257a00ed3a7f68","observation_id":"05810b28-e8df-4508-b78c-dcb3ab160fcd","resolution":{"observed_at":"2026-08-06T16:37:55.258807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:49.982528Z","title":"Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:49.982528Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:483a2a1d2e1d4adc1065f0480a86fb2f9063d94ad02b815ed99d37c018bbe9ec","observation_id":"f186c909-7e34-430b-9fbb-9a0fd6a91f7b","resolution":{"observed_at":"2026-08-06T16:37:49.982528Z","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":"2026-08-06T16:37:50.087280Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.087280Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:4036d26ae32f657e2e8b5bcd830478c8cee5d52ae00572956da51fcc806ac766","observation_id":"56253586-a4d7-4e64-964e-cc40042293fe","resolution":{"observed_at":"2026-08-06T16:37:50.087280Z","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":"2026-08-06T16:37:54.992811Z","title":"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and- language tasks.Advances in neural information processing systems, 32, 2019","venue":null,"work_id":"a2ccd1d0-0543-4c30-b524-8d8029556dc1","year":2019},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.174822Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:85a9ff1e4f9428531d1a4d8f5a0614092095d18830cb74572995c7e6ae7f0938","observation_id":"c894dcfa-b7fd-41b9-852a-dd9e8cc8d488","resolution":{"observed_at":"2026-08-06T16:37:55.085222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:54.689594Z","title":"Improving fake news detection by using an entity-enhanced framework to fuse di- verse multimodal clues","venue":null,"work_id":"14dec417-f9ae-4cfd-aff7-eee80c42ddb3","year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.274436Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:d9577bb361318d124529c7a5133709a6ba48f4cea10f03b7fef9c995b48601c5","observation_id":"a6d6eb83-3407-4b81-ab57-edbcbd619e0f","resolution":{"observed_at":"2026-08-06T16:37:54.843887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:54.425990Z","title":"Ex- ploiting multi-domain visual information for fake news detection","venue":null,"work_id":"2b5db16f-63bf-4200-bece-6d2e4fa50f97","year":2019},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.356003Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:e9d19e1753ef09d570c5a16fe3540c5f79598201ab4bf30c9b3cdd49b532a178","observation_id":"a0b5606e-f869-4fe2-bbda-6476a521eeb7","resolution":{"observed_at":"2026-08-06T16:37:54.548790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:54.128648Z","title":"Hierarchical multi-modal contextual attention network for fake news detection","venue":null,"work_id":"8f9071a2-fbd4-4a04-9dca-6de435fabb5e","year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.408255Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:3270a5573b926e09e7a502cb01438af7f7c1a2afb34248042f3b58f9e879e4d2","observation_id":"968cfda2-bdca-4ceb-b959-6084c298416f","resolution":{"observed_at":"2026-08-06T16:37:54.246633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:50.517559Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.517559Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:9d38a07c196a6ee932535ffdc36758f81ee4c50eab1d8c5ffb2569c436065d09","observation_id":"c8bfb738-451f-47f7-b1fe-5092f240021f","resolution":{"observed_at":"2026-08-06T16:37:50.517559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T23:20:42.336514Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-06T16:37:50.605339Z","title":"Very deep convolu- tional networks for large-scale image recognition.arXiv preprint arXiv:1409.1556, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.605339Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:3e25679df0d3b8f98c73a1b463d79fc53c3bd18db77d3def7b188d1c7ca2625c","observation_id":"e59b40d5-71ef-45ad-9d32-b46f165b8ec0","resolution":{"observed_at":"2026-08-06T16:37:50.605339Z","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":"2026-08-06T16:37:53.792728Z","title":"Spotfake: A multi-modal framework for fake news detection","venue":null,"work_id":"deec6b44-9d47-4dcc-b2df-b0683fb11bb0","year":2019},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.712752Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:a26c1899db79f1c1c0f5deb97408cfca78c952d2a6aaf40c9261fec40a88e893","observation_id":"8020cebe-cd19-4493-9644-a5f1a4daa9f6","resolution":{"observed_at":"2026-08-06T16:37:53.932352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:50.815576Z","title":"Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.815576Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:7afa96127f26ecd85ed2f119226b72020c7830734def2ad277861bb9233ac47c","observation_id":"7b527c80-c5f1-4348-aa23-427e60eb270c","resolution":{"observed_at":"2026-08-06T16:37:50.815576Z","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":"2026-08-06T16:37:53.485701Z","title":"Positive unlabeled fake news detection via multi-modal masked trans- former network.IEEE Transactions on Multimedia, 26:234–244, 2024","venue":null,"work_id":"71bea09a-886a-48b4-a1e9-83c553a72dcc","year":2024},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:50.919149Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:07efba244f9d058f9119b827fd3711d917d907c9f5d0ae2151bfce032d45c78f","observation_id":"4e52ac47-921a-4ec3-b794-146df6fd3277","resolution":{"observed_at":"2026-08-06T16:37:53.631498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:53.357862Z","title":"Eann: Event adversarial neural networks for multi-modal fake news detection","venue":null,"work_id":"6a3a232d-906d-4616-9dca-6f1cfc0ba610","year":2018},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.036697Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:cf4df4ac29b84f7a9da29b6239cb60bdf3f7b34c9e38d1d53ac35f56f26396c4","observation_id":"e25ad069-598c-4f54-a71b-e5087975720f","resolution":{"observed_at":"2026-08-06T16:37:53.402275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:53.141151Z","title":"Fake news detection via knowledge-driven multimodal graph convolutional networks","venue":null,"work_id":"463b0602-5b54-40fa-94eb-c815fdf5dc99","year":2020},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.098057Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:69763cb0c219323e2e7b5fbb396aa4e8cf3e26211f0db371e0c1a4dd6449f175","observation_id":"6cf6ff0a-2610-4c95-a369-03ff4a076448","resolution":{"observed_at":"2026-08-06T16:37:53.205594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.972762Z","title":"Multimodal fusion with co-attention networks for fake news detection","venue":null,"work_id":"59a8fa52-088d-4dc9-87ce-3528a00e2879","year":2021},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.209717Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:9ba4aa4f635b24a63510e13123fde10f0c54440f78adc40bfecec6892f3e2e5d","observation_id":"d2f3fb21-281a-4587-8895-aed9be61cc78","resolution":{"observed_at":"2026-08-06T16:37:53.059389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.803807Z","title":"Gamc: an unsupervised method for fake news detection using graph autoencoder with masking","venue":null,"work_id":"36834841-082b-4802-b5b9-21de1b296a09","year":2024},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.268822Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:f2b71a3b778c1aee14a57e6f522fb5f5614fe8fbc342180933086ec47cac15a5","observation_id":"08c4bc1e-f20e-40bd-9679-2d726b82def3","resolution":{"observed_at":"2026-08-06T16:37:52.884948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.652457Z","title":": Similarity-aware multi- modal fake news detection","venue":null,"work_id":"0c4723ba-67aa-47e5-9fee-ea6fb2e8b794","year":2020},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.324004Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:1e2a0bde3fc54f0a522ca39c1d03ed48d95ca3685956cf6b4f7624893c1269b2","observation_id":"93846539-32d3-4f86-9f5f-4a16947af6f8","resolution":{"observed_at":"2026-08-06T16:37:52.717806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.500893Z","title":"Multi-modal fake news detection on social media via multi-grained information fusion","venue":null,"work_id":"f99a3d39-f543-4354-ba01-465734f42f66","year":2023},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.459194Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:24c5faf8386413fbca7c747652099c633d3900ab2ea188a98fda668ae8e8a636","observation_id":"16d107d6-b915-43ec-8fad-760f05a5b98e","resolution":{"observed_at":"2026-08-06T16:37:52.584598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.350621Z","title":"Multimodal fake news detection via clip-guided learning","venue":null,"work_id":"1915cce2-0ff1-4b2f-831a-250f997b3443","year":2023},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.560966Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:6f40e830c0515b2dc4c4098c540b861b67451a9113669a0ff72607133eb9c7d2","observation_id":"f1ed5723-4cbe-40ef-9770-98f62ea126cd","resolution":{"observed_at":"2026-08-06T16:37:52.412492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:37:52.169522Z","title":"Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion.Complex & Intelligent Systems, 10(4):5851–5863, 2024","venue":null,"work_id":"9e32e233-136f-45bc-8ad3-bed1b9dc4699","year":2024},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.661423Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:46fe93f1db21962176d6eb513f55359e2e7b895cf165b815fc8d2d54730a887d","observation_id":"c929e59e-17db-442c-a86e-0bd9c8cd7754","resolution":{"observed_at":"2026-08-06T16:37:52.254286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.09647","last_updated":"2025-07-17T12:20:43Z","snapshot_observed_at":"2026-08-16T21:15:45.265247Z","submitted_at":"2025-07-13T14:28:20Z","title":"KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.09647","snapshot_observed_at":"2026-08-06T16:37:51.780246Z","title":"Ken: Knowledge augmentation and emotion guidance network for multimodal fake news detection.arXiv preprint arXiv:2507.09647, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.780246Z"},"links":{"cited_paper":"/paper/2507.09647","citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:2f6eaa55d63a2be4dc81072ba764205970e938a1d992100b2a177a0e0cca040e","observation_id":"080aa1ba-e4fc-43d0-b67f-1a14b8fd96fe","resolution":{"observed_at":"2026-08-06T16:37:51.780246Z","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":"2026-08-06T16:37:52.042450Z","title":"A general black-box adversarial attack on graph-based fake news detectors","venue":null,"work_id":"b23e3a07-2d56-421c-9a94-74c66a925e09","year":2024},"citing_paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:51.897719Z"},"links":{"citing_paper":"/paper/2507.13415"},"observation_digest":"sha256:72f88a56f7ed13542b49f0b074a11f8a8cfb5b3add7f08cff1d92e76e74337d9","observation_id":"c8c43dc0-e3ad-45f1-8439-5a069a76e6eb","resolution":{"observed_at":"2026-08-06T16:37:52.077178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.13415","last_updated":"2025-07-17T12:33:45Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-08-16T21:33:56.524568Z","submitted_at":"2025-07-17T12:33:45Z","title":"SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":31},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2507.13415."}