{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:Z75XEWAEGEBEO5FWUE2R6H77BM","short_pith_number":"pith:Z75XEWAE","canonical_record":{"source":{"id":"2009.01047","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-01T02:48:11Z","cross_cats_sorted":["cs.LG","cs.SI","stat.ML"],"title_canon_sha256":"08fe0687d70d689dea6f43e099b74fff4b9fe349a6aaa7dcef85f3570fa3f272","abstract_canon_sha256":"491a23dd6c236f0f78befcb879a8f7b4ab3aeabe4c8f5e9ca5759757e12d6c84"},"schema_version":"1.0"},"canonical_sha256":"cffb72580431024774b6a1351f1fff0b0fec5d8262b4dbc9bcb0edf092387207","source":{"kind":"arxiv","id":"2009.01047","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.01047","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2009.01047v2","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.01047","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"Z75XEWAEGEBE","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"Z75XEWAEGEBEO5FW","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"Z75XEWAE","created_at":"2026-07-05T01:45:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:Z75XEWAEGEBEO5FWUE2R6H77BM","target":"record","payload":{"canonical_record":{"source":{"id":"2009.01047","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-01T02:48:11Z","cross_cats_sorted":["cs.LG","cs.SI","stat.ML"],"title_canon_sha256":"08fe0687d70d689dea6f43e099b74fff4b9fe349a6aaa7dcef85f3570fa3f272","abstract_canon_sha256":"491a23dd6c236f0f78befcb879a8f7b4ab3aeabe4c8f5e9ca5759757e12d6c84"},"schema_version":"1.0"},"canonical_sha256":"cffb72580431024774b6a1351f1fff0b0fec5d8262b4dbc9bcb0edf092387207","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:05.940892Z","signature_b64":"Cz9Y77a2SAxb/xzOTKoJAcdsboZPROvqxBUS1IyI7nyOZKZxtJdyyqkW9IU4irSEKB8X6rYKuAlUTnuPOhgDBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cffb72580431024774b6a1351f1fff0b0fec5d8262b4dbc9bcb0edf092387207","last_reissued_at":"2026-07-05T01:45:05.940445Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:05.940445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.01047","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e3/yScMyhHPzyBn++kPHJbC8lhKYGKqM7vdawyPknvp9beX+T06zV5+1KU9Dhg3jZvkoZYXpnwFmpZj4HDT3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:47:36.690037Z"},"content_sha256":"b22d110750a93415c1d54a4a488b036f7afb4d35d9d431558d5c0ea5f72d8ba8","schema_version":"1.0","event_id":"sha256:b22d110750a93415c1d54a4a488b036f7afb4d35d9d431558d5c0ea5f72d8ba8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:Z75XEWAEGEBEO5FWUE2R6H77BM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SI","stat.ML"],"primary_cat":"cs.CL","authors_text":"Bibek Upadhayay, Vahid Behzadan","submitted_at":"2020-09-01T02:48:11Z","abstract_excerpt":"The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history. However, the inherently unsupervised nature of social media platforms has also made it easier to spread false information and fake news. Furthermore, the high volume and velocity of information flow in such platforms make manual supervision and control of information propagation infeasible. This paper aims to address this issue by proposing a novel deep learning approach for automated detection of false short-text claims on s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.01047","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2009.01047/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:45:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aytysPDKXNWTJYtL3GW70Fg7vuwUJoY3qTseTL8mtXV/kHdWRYHTyNC1xwZ4qGOzb3nUsHUrLA4XtAduVsmlDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T12:47:36.690532Z"},"content_sha256":"a3dcb3a195c68692807be2f90553c80e54e12001e7f733257b6856becc276be2","schema_version":"1.0","event_id":"sha256:a3dcb3a195c68692807be2f90553c80e54e12001e7f733257b6856becc276be2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/bundle.json","state_url":"https://pith.science/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T12:47:36Z","links":{"resolver":"https://pith.science/pith/Z75XEWAEGEBEO5FWUE2R6H77BM","bundle":"https://pith.science/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/bundle.json","state":"https://pith.science/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z75XEWAEGEBEO5FWUE2R6H77BM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Z75XEWAEGEBEO5FWUE2R6H77BM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"491a23dd6c236f0f78befcb879a8f7b4ab3aeabe4c8f5e9ca5759757e12d6c84","cross_cats_sorted":["cs.LG","cs.SI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-01T02:48:11Z","title_canon_sha256":"08fe0687d70d689dea6f43e099b74fff4b9fe349a6aaa7dcef85f3570fa3f272"},"schema_version":"1.0","source":{"id":"2009.01047","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.01047","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"arxiv_version","alias_value":"2009.01047v2","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.01047","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_12","alias_value":"Z75XEWAEGEBE","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_16","alias_value":"Z75XEWAEGEBEO5FW","created_at":"2026-07-05T01:45:05Z"},{"alias_kind":"pith_short_8","alias_value":"Z75XEWAE","created_at":"2026-07-05T01:45:05Z"}],"graph_snapshots":[{"event_id":"sha256:a3dcb3a195c68692807be2f90553c80e54e12001e7f733257b6856becc276be2","target":"graph","created_at":"2026-07-05T01:45:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2009.01047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history. However, the inherently unsupervised nature of social media platforms has also made it easier to spread false information and fake news. Furthermore, the high volume and velocity of information flow in such platforms make manual supervision and control of information propagation infeasible. This paper aims to address this issue by proposing a novel deep learning approach for automated detection of false short-text claims on s","authors_text":"Bibek Upadhayay, Vahid Behzadan","cross_cats":["cs.LG","cs.SI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-01T02:48:11Z","title":"Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.01047","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b22d110750a93415c1d54a4a488b036f7afb4d35d9d431558d5c0ea5f72d8ba8","target":"record","created_at":"2026-07-05T01:45:05Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"491a23dd6c236f0f78befcb879a8f7b4ab3aeabe4c8f5e9ca5759757e12d6c84","cross_cats_sorted":["cs.LG","cs.SI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-09-01T02:48:11Z","title_canon_sha256":"08fe0687d70d689dea6f43e099b74fff4b9fe349a6aaa7dcef85f3570fa3f272"},"schema_version":"1.0","source":{"id":"2009.01047","kind":"arxiv","version":2}},"canonical_sha256":"cffb72580431024774b6a1351f1fff0b0fec5d8262b4dbc9bcb0edf092387207","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cffb72580431024774b6a1351f1fff0b0fec5d8262b4dbc9bcb0edf092387207","first_computed_at":"2026-07-05T01:45:05.940445Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:05.940445Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cz9Y77a2SAxb/xzOTKoJAcdsboZPROvqxBUS1IyI7nyOZKZxtJdyyqkW9IU4irSEKB8X6rYKuAlUTnuPOhgDBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:05.940892Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.01047","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b22d110750a93415c1d54a4a488b036f7afb4d35d9d431558d5c0ea5f72d8ba8","sha256:a3dcb3a195c68692807be2f90553c80e54e12001e7f733257b6856becc276be2"],"state_sha256":"61b31c55fdb8117e5ad09c277e0f5a7ed16e5385670f08373d0ca1129d26391c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kbX/bLB7/+LP8E34uQ/K0/5goKpLVGFMPHHQNFNJSoXt4MtH3wtH3uIi9Zq4LAcuNK3Plwg+ntp7qS/4ct98Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T12:47:36.694369Z","bundle_sha256":"0472ee6170cfb5dc26ce1fa75bc1df8f2eaff7fabdf5a7787a1db825d35e806f"}}