{"as_of":"2026-08-10T14:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f760c1d8a89384fa8b92d5aa0b2024713b3ddb2a8f13b6bdd974197a452ac864","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T11:02:38.828631Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.20579/citation-record","integrity":"/paper/2607.20579/integrity","json":"/paper/2607.20579/citation-record.json","paper":"/paper/2607.20579"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1406.2661","last_updated":"2014-06-10T18:58:17Z","snapshot_observed_at":"2026-07-06T03:46:00.791740Z","submitted_at":"2014-06-10T18:58:17Z","title":"Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2661","snapshot_observed_at":"2026-08-01T11:02:37.769072Z","title":"Generative adversarial networks,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.769072Z"},"links":{"cited_paper":"/paper/1406.2661","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:64c26bfb52c091fc31b29ed830587ccdbb3cbafed9a6516240d753d9e4157b07","observation_id":"b9cbbf31-142e-44e2-af7e-3c3966173ec3","resolution":{"observed_at":"2026-08-01T11:02:37.769072Z","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":"2026-08-01T11:02:37.801081Z","title":"Jordan peele’s simulated obama psa is a double-edged warning against fake news,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.801081Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:45dd07b32cc568ca00327bdcad7a48b6f9a6ab3a0916557e1a4533de75fc0542","observation_id":"48cbc01e-25a5-43b7-8777-f99a63a10219","resolution":{"observed_at":"2026-08-01T11:02:37.801081Z","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":"2026-08-01T11:02:37.826135Z","title":"Chinese deepfake app zao goes viral, faces immediate criticism over user data and security policy,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.826135Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:bbe058137e6c45c5b604447de445f9252dac54f16beb5077a6dc6ee1a8fcf076","observation_id":"1fbf91cb-f739-479a-bbd6-cc66dd1ab00b","resolution":{"observed_at":"2026-08-01T11:02:37.826135Z","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":"2026-08-01T11:02:37.859033Z","title":"An AI program will soon be here to help your deepfake dancing – just don’t call it deepfake,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.859033Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:89b583575c508140bbb2ef5b38e575ce89a83661427f8035ae0a84c537a6bd8d","observation_id":"f1c3fa27-8084-4f91-9516-fa9a5181728a","resolution":{"observed_at":"2026-08-01T11:02:37.859033Z","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":"2026-08-01T11:02:37.887413Z","title":"Syn- thesizing obama: Learning lip sync from audio,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.887413Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:c6f3b297da4181ad1c8727fddb1ede1b2532953a56af6c32206e3a350e48805b","observation_id":"64f1abe5-bd87-4d1a-9e97-2eb35b804fc8","resolution":{"observed_at":"2026-08-01T11:02:37.887413Z","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":"2026-08-01T11:02:37.921439Z","title":"Xception: Deep learning with depthwise separable convo- lutions,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.921439Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:43e440e55d9b97b027c221dda407078742317364b49d3adae59e6f134cac85ea","observation_id":"241d02ad-367a-4dd7-b273-31d607d56368","resolution":{"observed_at":"2026-08-01T11:02:37.921439Z","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":"2026-08-01T11:02:37.937372Z","title":"MesoNet: A compact facial video forgery detection network,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.937372Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:1ed3785d292e722826f79dd9c3dac2310994358840032281bd071359767517ed","observation_id":"c6a406bb-e878-4dad-8a99-bc4b93b024b2","resolution":{"observed_at":"2026-08-01T11:02:37.937372Z","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":"2026-08-01T11:02:37.964887Z","title":"Deepfake video detection using recurrent neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.964887Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:f4b43fa1ffe7685e03d42bc4cd97d4b8c3511ee12540c88de818112c59f04f54","observation_id":"83427141-82d4-4c61-9f6a-f33ea7fd1795","resolution":{"observed_at":"2026-08-01T11:02:37.964887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.02212","last_updated":"2020-07-19T03:02:54Z","snapshot_observed_at":"2026-08-05T18:12:14.898132Z","submitted_at":"2019-01-08T09:20:36Z","title":"FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.02212","snapshot_observed_at":"2026-08-01T11:02:37.989197Z","title":"FakeCatcher: Detection of synthetic portrait videos using biological signals,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:37.989197Z"},"links":{"cited_paper":"/paper/1901.02212","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:7319bb8225e9d2c6b88761a67f51d2f8496daba6c077c3c488bdbddd035d8e6f","observation_id":"5176a15c-24b1-4856-8219-5cfb487dbc2e","resolution":{"observed_at":"2026-08-01T11:02:37.989197Z","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":"2026-08-01T11:02:38.012588Z","title":"In ictu oculi: Exposing AI created fake videos by detecting eye blinking,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.012588Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:63db3b3fc0ab0f84fbd0a3e382034103f513dafd04edb194db2c0ef44bbe6f6b","observation_id":"ee2df575-a255-42b0-b66e-71d89ddb9bba","resolution":{"observed_at":"2026-08-01T11:02:38.012588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00656","last_updated":"2019-05-22T15:06:39Z","snapshot_observed_at":"2026-07-06T07:12:10.424336Z","submitted_at":"2018-11-01T22:13:55Z","title":"Exposing DeepFake Videos By Detecting Face Warping Artifacts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00656","snapshot_observed_at":"2026-08-01T11:02:38.034792Z","title":"Exposing deepfake videos by detecting face warping artifacts,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.034792Z"},"links":{"cited_paper":"/paper/1811.00656","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:91047b9272780992b803bdb25bc258edabb088e39ea007c22b82e747827caa2e","observation_id":"31263d69-05de-473d-a7bc-244bf6ff754d","resolution":{"observed_at":"2026-08-01T11:02:38.034792Z","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":"2026-08-01T11:02:38.055537Z","title":"Face x-ray for more general face forgery detection,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.055537Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:7645a6b2bb4150d727e2bfdf06c5c2a3d87ed5d2d284e083938bd0bc31f04027","observation_id":"6b2105f2-4eec-4fd9-ba3e-b4897126372c","resolution":{"observed_at":"2026-08-01T11:02:38.055537Z","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":"2026-08-01T11:02:38.078879Z","title":"Relative phase information for detecting human speech and spoofed speech,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.078879Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:62c21c66a33d7dfbbe395f308c8557a30628277aeea26f6f54ce62cc93ebf538","observation_id":"0b9dc5ee-bc4e-4044-96e9-7579812c7931","resolution":{"observed_at":"2026-08-01T11:02:38.078879Z","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":"2026-08-01T11:02:38.104444Z","title":"Combining evidences from mel cepstral, cochlear filter cepstral and instantaneous frequency features for detection of natural vs. spoofed speech,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.104444Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:a328e74be70009d66cf6a26403d6141e1230abb0e0bb876fee70124bfba41613","observation_id":"decd10f8-fd7d-4a48-9940-93ab87dcf484","resolution":{"observed_at":"2026-08-01T11:02:38.104444Z","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":"2026-08-01T11:02:38.127185Z","title":"Not made for each other–audio-visual dissonance-based deepfake detection and local- ization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.127185Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:6d1feaade3779df1c5f0b9557d513005df7660c2197f31e04a9ca946d654613d","observation_id":"757679b6-71cc-4d9a-a2c3-1b4267f7b0ab","resolution":{"observed_at":"2026-08-01T11:02:38.127185Z","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":"2026-08-01T11:02:38.153769Z","title":"Emotions don’t lie: An audio-visual deepfake detection method using affective cues,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.153769Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:561569ff774782d299913f135ff1b592443948cddcbc4605d6d650d9bab7b8d9","observation_id":"f56f9a2c-8040-4776-85fa-cc8953d3c4d4","resolution":{"observed_at":"2026-08-01T11:02:38.153769Z","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":"2026-08-01T11:02:38.175275Z","title":"Lip sync matters: A novel multimodal forgery detector,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.175275Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:28f3488303ee3c9c4e99bf4dfe90a8743746e82de00d1b8f4bc1daf6ca6c7e79","observation_id":"b154ca2c-c8ee-4abc-ac39-57ca6510d52a","resolution":{"observed_at":"2026-08-01T11:02:38.175275Z","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":"2026-08-01T11:02:38.200727Z","title":"A comparison of features for synthetic speech detection,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.200727Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:9a36405a3a4cf9121bb72e3d22ab529e789abcb012ead5c7e689556d385f7932","observation_id":"7648cd42-de7b-46ce-8386-89a7065ebddb","resolution":{"observed_at":"2026-08-01T11:02:38.200727Z","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":"2026-08-01T11:02:38.219435Z","title":"Multimodaltrace: Deepfake detection using audiovisual representation learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.219435Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:f724a8b7aedf32f7ea13a4da31ff9146366dc1c31da44b507e4519888026bf42","observation_id":"d4d1dad9-d537-407c-b8f2-90c76e1758c7","resolution":{"observed_at":"2026-08-01T11:02:38.219435Z","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":"2026-08-01T11:02:38.241114Z","title":"Deepfake video detection based on spatial, spectral, and temporal inconsistencies us- ing multimodal deep learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.241114Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:c3af25f16d95b7eddba7b26a656eeb883ca74398f7305fea1e2dea160f61dee1","observation_id":"298f6577-f25e-475a-ab69-6cccd7b69166","resolution":{"observed_at":"2026-08-01T11:02:38.241114Z","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":"2026-08-01T11:02:38.263391Z","title":"Emotions don’t lie: An audio-visual deepfake detection method using affective cues,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.263391Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:29d83797e24634f0479778e48a535ffd9bf8c18e009532bd85288904e38e2352","observation_id":"963438bc-4bd0-4286-babd-04cedcae7d60","resolution":{"observed_at":"2026-08-01T11:02:38.263391Z","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":"2026-08-01T11:02:38.290278Z","title":"Not made for each other–audio-visual dissonance-based deepfake detection and local- ization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.290278Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:11d522beffcba53379ce5bd3e6227a409627ec56274756b0b23393abff6c9f07","observation_id":"2148fc01-9ec3-4d40-b75f-ecee71ae0458","resolution":{"observed_at":"2026-08-01T11:02:38.290278Z","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":"2026-08-01T11:02:38.311718Z","title":"Evaluation of an audio- video multimodal deepfake dataset using unimodal and multimodal detectors,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.311718Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:6ed903227cd3007b119acc7ca7b63c7b546d90d650c892318ed21fd9c3e5988b","observation_id":"e7343729-eeb2-451c-86f1-bf7ba9261f75","resolution":{"observed_at":"2026-08-01T11:02:38.311718Z","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":"2026-08-01T11:02:38.335149Z","title":"AVFakeNet: A unified end-to-end dense swin transformer deep learning model for audio-visual deepfakes detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.335149Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:b323009cfa790dd304e1a654efcf094e9fc46cc6b1a0bbd0f033577090925af7","observation_id":"60e190e5-ce6c-46ce-9969-5e0d4463b9c4","resolution":{"observed_at":"2026-08-01T11:02:38.335149Z","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":"2026-08-01T11:02:38.363145Z","title":"Multimodal forgery detection using ensemble learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.363145Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:2fdf6fdb2fc976c7e2ec18ad2ca57ff37cb1eb671aacc99634b4b1f29abb2467","observation_id":"f94bf31c-19d4-47a5-90a3-8b5896ccf79e","resolution":{"observed_at":"2026-08-01T11:02:38.363145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01599","last_updated":"2016-12-16T16:09:34Z","snapshot_observed_at":"2026-07-06T05:17:29.499249Z","submitted_at":"2016-11-05T04:05:18Z","title":"LipNet: End-to-End Sentence-level Lipreading","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01599","snapshot_observed_at":"2026-08-01T11:02:38.386544Z","title":"LipNet: End-to-end sentence-level lipreading,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.386544Z"},"links":{"cited_paper":"/paper/1611.01599","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:8408c3bbb8b8894eba21f1f45cb81d769a288cb9d77e205715924c9bc1726597","observation_id":"418aab50-1226-4d6f-9716-c60235942a24","resolution":{"observed_at":"2026-08-01T11:02:38.386544Z","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":"2026-08-01T11:02:38.410588Z","title":"DeepSpeech2: A machine learning model for speech recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.410588Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:8a65e8895e84440195ea3686634743a3229e6615ccdd3a907c639e79c8bff5f8","observation_id":"f3717066-0e7f-46c2-88d9-f4cbc2f2f614","resolution":{"observed_at":"2026-08-01T11:02:38.410588Z","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":"2026-08-01T11:02:38.427387Z","title":"hollance/BlazeFace-PyTorch,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.427387Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:de79b6ba27574fb5235b65328e592b696a5988e57b21fe2b258955df51bd27be","observation_id":"62c572e2-bc1b-4289-be45-2f3a1b1c789f","resolution":{"observed_at":"2026-08-01T11:02:38.427387Z","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":"2026-08-01T11:02:38.451378Z","title":"A deep learning approach for automated diagnosis and multi-class classification of alzheimer’s disease stages using resting- state fMRI and residual neural networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.451378Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:4b31c499ade40557ca0024b1acd5834b7a099987082308a423c6e323f1ecaadf","observation_id":"69979572-96fe-4d24-8d00-8e6bd63c1239","resolution":{"observed_at":"2026-08-01T11:02:38.451378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05080","last_updated":"2022-03-01T10:38:07Z","snapshot_observed_at":"2026-08-06T06:30:26.873321Z","submitted_at":"2021-08-11T07:49:36Z","title":"FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05080","snapshot_observed_at":"2026-08-01T11:02:38.476796Z","title":"FakeAVCeleb: A novel audio-video multimodal deepfake dataset,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.476796Z"},"links":{"cited_paper":"/paper/2108.05080","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:b5a20daa1c61dcc21df0839714431a9ac2fb7bec135dad724c140178e0366377","observation_id":"bc8e57a6-b607-479c-996f-64f2bd956ef3","resolution":{"observed_at":"2026-08-01T11:02:38.476796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.08854","last_updated":"2019-10-23T18:47:35Z","snapshot_observed_at":"2026-08-06T07:27:19.098848Z","submitted_at":"2019-10-19T22:35:52Z","title":"The Deepfake Detection Challenge (DFDC) Preview Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.08854","snapshot_observed_at":"2026-08-01T11:02:38.521325Z","title":"The deepfake detection challenge (DFDC) preview dataset,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.521325Z"},"links":{"cited_paper":"/paper/1910.08854","citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:e7879bc6476e7bdba2eac28c8bcd76993da950a304002f0bb79f64d8f637ca93","observation_id":"e2c07979-c131-4ac5-b844-edacdf5d81c1","resolution":{"observed_at":"2026-08-01T11:02:38.521325Z","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":"2026-08-01T11:02:38.585204Z","title":"Crowd scene analysis using deep learning techniques,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.585204Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:6619bf34975e70253d7d4f3386819e9b06296a423733f1462a27b68b728c56b0","observation_id":"1220ec53-c960-4d80-8617-d52ee03f710f","resolution":{"observed_at":"2026-08-01T11:02:38.585204Z","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":"2026-08-01T11:02:38.651888Z","title":"Conv- lstm for real-time spatio-temporal analysis of crowd behavior in public spaces,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.651888Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:7ead5468955de61216b90995ff02554b7bccf02ead920551a39b9c61a2936a7d","observation_id":"24f29581-352f-47e6-b5e1-68d318054cc7","resolution":{"observed_at":"2026-08-01T11:02:38.651888Z","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":"2026-08-01T11:02:38.712160Z","title":"Exploring convolutional neural networks for rice grain classification: An explainable ai approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.712160Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:799142389d86ba8363a6ef1f4ef8f933d91397205b9e96aa724cde95e366ea8e","observation_id":"547976a6-3081-49a2-bf24-851f37249174","resolution":{"observed_at":"2026-08-01T11:02:38.712160Z","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":"2026-08-01T11:02:38.781894Z","title":"Towards automated solar panel integrity: Hybrid deep feature extraction for advanced surface defect identification,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.781894Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:c3105d0b51086b34eb0da097bb8e974c9dc974200fa72cbfe25ff41e251518b3","observation_id":"4fcca713-8fdb-4dd4-b425-c4d1bf6cc100","resolution":{"observed_at":"2026-08-01T11:02:38.781894Z","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":"2026-08-01T11:02:38.828631Z","title":"Strategic customer segmentation: Harnessing machine learning for retaining satisfied cus- tomers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T11:02:38.828631Z"},"links":{"citing_paper":"/paper/2607.20579"},"observation_digest":"sha256:17b0b6e5fbc652884024ed4327a725adf48591df96d670cd99a209352691106b","observation_id":"ec92dbc5-05b8-47bd-8bb3-47b97d29c29f","resolution":{"observed_at":"2026-08-01T11:02:38.828631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.20579","last_updated":"2026-07-22T11:39:53Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-10T03:24:16.262804Z","submitted_at":"2026-07-22T11:39:53Z","title":"Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":36},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.20579."}