{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:SYHSI7VKKICYLVUCLJA5PNTILO","short_pith_number":"pith:SYHSI7VK","canonical_record":{"source":{"id":"1712.02223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-06T15:15:21Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"46f7ff96558e940b92cac7bfb74118f2b91f1d2309f88c14e852b29bb5fd4112","abstract_canon_sha256":"5bf67b8b657acdb398d954df4f9b04a1e3d083444c5cb2b905fbf945f63edbdd"},"schema_version":"1.0"},"canonical_sha256":"960f247eaa520585d6825a41d7b6685b8f9eda29c7eab4c939247eb1ea075a6b","source":{"kind":"arxiv","id":"1712.02223","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.02223","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"arxiv_version","alias_value":"1712.02223v1","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02223","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"pith_short_12","alias_value":"SYHSI7VKKICY","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SYHSI7VKKICYLVUC","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SYHSI7VK","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:SYHSI7VKKICYLVUCLJA5PNTILO","target":"record","payload":{"canonical_record":{"source":{"id":"1712.02223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-06T15:15:21Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"46f7ff96558e940b92cac7bfb74118f2b91f1d2309f88c14e852b29bb5fd4112","abstract_canon_sha256":"5bf67b8b657acdb398d954df4f9b04a1e3d083444c5cb2b905fbf945f63edbdd"},"schema_version":"1.0"},"canonical_sha256":"960f247eaa520585d6825a41d7b6685b8f9eda29c7eab4c939247eb1ea075a6b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:38.789938Z","signature_b64":"fjh5elPtwR4gjFsv5XOX4EuNdDRzh4widjfueNScNour/APGv1XQWohWPyGO4peyG7BuffEjVheGlbDhN3i2CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"960f247eaa520585d6825a41d7b6685b8f9eda29c7eab4c939247eb1ea075a6b","last_reissued_at":"2026-05-18T00:28:38.789229Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:38.789229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.02223","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":"2026-05-18T00:28:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UewLQ1+kHVDQifPaAggNb30eZv6urY9V7Uh4QVLzq/v737691uLE8nZHCwH0JxWiMOBq9rjZkNrQMoVtntkqAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:26:32.720613Z"},"content_sha256":"118a02866805b26470bd7402311be617144a47890409fd8fdcfd704d69380238","schema_version":"1.0","event_id":"sha256:118a02866805b26470bd7402311be617144a47890409fd8fdcfd704d69380238"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:SYHSI7VKKICYLVUCLJA5PNTILO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CL","authors_text":"Arkaitz Zubiaga, Elena Kochkina, Isabelle Augenstein, Kalina Bontcheva, Maria Liakata, Michal Lukasik, Rob Procter, Trevor Cohn","submitted_at":"2017-12-06T15:15:21Z","abstract_excerpt":"Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or 'conversational threads'. Testing the effectiveness of four sequential classifiers -- Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02223","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":""},"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":"2026-05-18T00:28:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w+rvLdcv+7zZINSFepK77gJRGQPaN/N7bBC78IhpknF03jjtO3de/iqbVNj3R85LnZVW09mjSqBF8BRPJ+gLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:26:32.721306Z"},"content_sha256":"c6ff70dfac4d20cec6df0e732db537a3639615d9777e7821361d8b0c03cab757","schema_version":"1.0","event_id":"sha256:c6ff70dfac4d20cec6df0e732db537a3639615d9777e7821361d8b0c03cab757"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SYHSI7VKKICYLVUCLJA5PNTILO/bundle.json","state_url":"https://pith.science/pith/SYHSI7VKKICYLVUCLJA5PNTILO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SYHSI7VKKICYLVUCLJA5PNTILO/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":"2026-05-25T21:26:32Z","links":{"resolver":"https://pith.science/pith/SYHSI7VKKICYLVUCLJA5PNTILO","bundle":"https://pith.science/pith/SYHSI7VKKICYLVUCLJA5PNTILO/bundle.json","state":"https://pith.science/pith/SYHSI7VKKICYLVUCLJA5PNTILO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SYHSI7VKKICYLVUCLJA5PNTILO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SYHSI7VKKICYLVUCLJA5PNTILO","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":"5bf67b8b657acdb398d954df4f9b04a1e3d083444c5cb2b905fbf945f63edbdd","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-06T15:15:21Z","title_canon_sha256":"46f7ff96558e940b92cac7bfb74118f2b91f1d2309f88c14e852b29bb5fd4112"},"schema_version":"1.0","source":{"id":"1712.02223","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.02223","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"arxiv_version","alias_value":"1712.02223v1","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.02223","created_at":"2026-05-18T00:28:38Z"},{"alias_kind":"pith_short_12","alias_value":"SYHSI7VKKICY","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SYHSI7VKKICYLVUC","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SYHSI7VK","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:c6ff70dfac4d20cec6df0e732db537a3639615d9777e7821361d8b0c03cab757","target":"graph","created_at":"2026-05-18T00:28:38Z","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"},"paper":{"abstract_excerpt":"Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or 'conversational threads'. Testing the effectiveness of four sequential classifiers -- Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF)","authors_text":"Arkaitz Zubiaga, Elena Kochkina, Isabelle Augenstein, Kalina Bontcheva, Maria Liakata, Michal Lukasik, Rob Procter, Trevor Cohn","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-06T15:15:21Z","title":"Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.02223","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":"sha256:118a02866805b26470bd7402311be617144a47890409fd8fdcfd704d69380238","target":"record","created_at":"2026-05-18T00:28:38Z","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":"5bf67b8b657acdb398d954df4f9b04a1e3d083444c5cb2b905fbf945f63edbdd","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-12-06T15:15:21Z","title_canon_sha256":"46f7ff96558e940b92cac7bfb74118f2b91f1d2309f88c14e852b29bb5fd4112"},"schema_version":"1.0","source":{"id":"1712.02223","kind":"arxiv","version":1}},"canonical_sha256":"960f247eaa520585d6825a41d7b6685b8f9eda29c7eab4c939247eb1ea075a6b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"960f247eaa520585d6825a41d7b6685b8f9eda29c7eab4c939247eb1ea075a6b","first_computed_at":"2026-05-18T00:28:38.789229Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:28:38.789229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fjh5elPtwR4gjFsv5XOX4EuNdDRzh4widjfueNScNour/APGv1XQWohWPyGO4peyG7BuffEjVheGlbDhN3i2CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:28:38.789938Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.02223","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:118a02866805b26470bd7402311be617144a47890409fd8fdcfd704d69380238","sha256:c6ff70dfac4d20cec6df0e732db537a3639615d9777e7821361d8b0c03cab757"],"state_sha256":"8ca22be04e649ceb5f7b5c39b8695461f7c38949e2a00ff1e8b6ac9209766a2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r4evAj4GIolz4gZgnY4SLwCcMVucDSSjD5xfwzeEfoG2ixj1OE6zDVRrp1Tlto0GOJRd/pDp/EnCsSdABQC8BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:26:32.725044Z","bundle_sha256":"db43159fd486dd648213d18f8ac1cd05496ed8e75b4e90cbc45aee866e9caf79"}}