{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SABYLGNGDVZLYCZI3KEBVGEWTI","short_pith_number":"pith:SABYLGNG","canonical_record":{"source":{"id":"2204.01841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-04T21:00:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"43061d969fe685ce5a331ded248acaae3f7ee67056daef9e9f6f0fc2cb1cba3d","abstract_canon_sha256":"a6019d37d92ba9efe8fe5dcffa075760b6580d05536d0989d703fd3f806a2ac4"},"schema_version":"1.0"},"canonical_sha256":"90038599a61d72bc0b28da881a98969a0ef2f0e394b4210e20889f046dcaf913","source":{"kind":"arxiv","id":"2204.01841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01841","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01841v1","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01841","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_12","alias_value":"SABYLGNGDVZL","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_16","alias_value":"SABYLGNGDVZLYCZI","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_8","alias_value":"SABYLGNG","created_at":"2026-07-05T04:11:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SABYLGNGDVZLYCZI3KEBVGEWTI","target":"record","payload":{"canonical_record":{"source":{"id":"2204.01841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-04T21:00:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"43061d969fe685ce5a331ded248acaae3f7ee67056daef9e9f6f0fc2cb1cba3d","abstract_canon_sha256":"a6019d37d92ba9efe8fe5dcffa075760b6580d05536d0989d703fd3f806a2ac4"},"schema_version":"1.0"},"canonical_sha256":"90038599a61d72bc0b28da881a98969a0ef2f0e394b4210e20889f046dcaf913","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:11:33.636440Z","signature_b64":"OzeD7c5xuCHYwXq1XfRF+QtQbEIZLX0B7uT4ckQkcuv/eJ6egdl8LkSk5/um6io3TxYz9kOM4BKLP/kYA8DABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90038599a61d72bc0b28da881a98969a0ef2f0e394b4210e20889f046dcaf913","last_reissued_at":"2026-07-05T04:11:33.636033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:11:33.636033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.01841","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:11:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVi137/OyCKJpqb3dX5IVvQqLzMui8lKZ4yyB5JgstHSmgj6U/8l0Eu4y5KDCQpXUR8w+N1dcrf1x01V3bOBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:39:52.338331Z"},"content_sha256":"98ddf9c6da5a780d1d1d4ad944550d3ad14a6c8f1e2e73646c4e579442398012","schema_version":"1.0","event_id":"sha256:98ddf9c6da5a780d1d1d4ad944550d3ad14a6c8f1e2e73646c4e579442398012"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SABYLGNGDVZLYCZI3KEBVGEWTI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Applying Automatic Text Summarization for Fake News Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Philipp Hartl, Udo Kruschwitz","submitted_at":"2022-04-04T21:00:55Z","abstract_excerpt":"The distribution of fake news is not a new but a rapidly growing problem. The shift to news consumption via social media has been one of the drivers for the spread of misleading and deliberately wrong information, as in addition to it of easy use there is rarely any veracity monitoring. Due to the harmful effects of such fake news on society, the detection of these has become increasingly important. We present an approach to the problem that combines the power of transformer-based language models while simultaneously addressing one of their inherent problems. Our framework, CMTR-BERT, combines"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01841","kind":"arxiv","version":1},"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/2204.01841/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":"2026-07-05T04:11:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xRVtAExv1EEd6d7s7VKrZqY2xV9KtXgZVF4dl/7ANf0Eyx4eiLOVaeIMXuwARATVAORaC0CeWBcCX/JB/qGRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:39:52.338827Z"},"content_sha256":"67f6f06312b765851a2bde793ee3257156470c9a6ec4c272e8db2e41811eeecf","schema_version":"1.0","event_id":"sha256:67f6f06312b765851a2bde793ee3257156470c9a6ec4c272e8db2e41811eeecf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/bundle.json","state_url":"https://pith.science/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/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":"2026-08-08T13:39:52Z","links":{"resolver":"https://pith.science/pith/SABYLGNGDVZLYCZI3KEBVGEWTI","bundle":"https://pith.science/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/bundle.json","state":"https://pith.science/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SABYLGNGDVZLYCZI3KEBVGEWTI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SABYLGNGDVZLYCZI3KEBVGEWTI","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":"a6019d37d92ba9efe8fe5dcffa075760b6580d05536d0989d703fd3f806a2ac4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-04T21:00:55Z","title_canon_sha256":"43061d969fe685ce5a331ded248acaae3f7ee67056daef9e9f6f0fc2cb1cba3d"},"schema_version":"1.0","source":{"id":"2204.01841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01841","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01841v1","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01841","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_12","alias_value":"SABYLGNGDVZL","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_16","alias_value":"SABYLGNGDVZLYCZI","created_at":"2026-07-05T04:11:33Z"},{"alias_kind":"pith_short_8","alias_value":"SABYLGNG","created_at":"2026-07-05T04:11:33Z"}],"graph_snapshots":[{"event_id":"sha256:67f6f06312b765851a2bde793ee3257156470c9a6ec4c272e8db2e41811eeecf","target":"graph","created_at":"2026-07-05T04:11:33Z","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/2204.01841/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The distribution of fake news is not a new but a rapidly growing problem. The shift to news consumption via social media has been one of the drivers for the spread of misleading and deliberately wrong information, as in addition to it of easy use there is rarely any veracity monitoring. Due to the harmful effects of such fake news on society, the detection of these has become increasingly important. We present an approach to the problem that combines the power of transformer-based language models while simultaneously addressing one of their inherent problems. Our framework, CMTR-BERT, combines","authors_text":"Philipp Hartl, Udo Kruschwitz","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-04T21:00:55Z","title":"Applying Automatic Text Summarization for Fake News Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01841","kind":"arxiv","version":1},"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":"sha256:98ddf9c6da5a780d1d1d4ad944550d3ad14a6c8f1e2e73646c4e579442398012","target":"record","created_at":"2026-07-05T04:11:33Z","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":"a6019d37d92ba9efe8fe5dcffa075760b6580d05536d0989d703fd3f806a2ac4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-04T21:00:55Z","title_canon_sha256":"43061d969fe685ce5a331ded248acaae3f7ee67056daef9e9f6f0fc2cb1cba3d"},"schema_version":"1.0","source":{"id":"2204.01841","kind":"arxiv","version":1}},"canonical_sha256":"90038599a61d72bc0b28da881a98969a0ef2f0e394b4210e20889f046dcaf913","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90038599a61d72bc0b28da881a98969a0ef2f0e394b4210e20889f046dcaf913","first_computed_at":"2026-07-05T04:11:33.636033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:11:33.636033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OzeD7c5xuCHYwXq1XfRF+QtQbEIZLX0B7uT4ckQkcuv/eJ6egdl8LkSk5/um6io3TxYz9kOM4BKLP/kYA8DABw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:11:33.636440Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.01841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98ddf9c6da5a780d1d1d4ad944550d3ad14a6c8f1e2e73646c4e579442398012","sha256:67f6f06312b765851a2bde793ee3257156470c9a6ec4c272e8db2e41811eeecf"],"state_sha256":"0d4beea77ab94b255479b38dfe1d8a2a37e7cc89d8a9aa3c4533b5d0ac329558"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wI0tEw61g9INUBxPim7/uxSjNwjStJRYREMU5PLfn0BIP3+sYXwGlslfYPAHpt1uQeEplXA743oHSsDyFtyLBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:39:52.342817Z","bundle_sha256":"42be57769baf51bec2065527a79a5a5793ca75c51bcb0ceb5966a47e77c993bd"}}