{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:SEDMN5ZRPROBNK6FGRYL7ZBR7P","short_pith_number":"pith:SEDMN5ZR","canonical_record":{"source":{"id":"1905.07894","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-20T06:15:07Z","cross_cats_sorted":["cs.CL","cs.SI"],"title_canon_sha256":"6a456e3e5e28681a3fc12030a211afe6bb2cc4147042e8b901c14304b81b7f55","abstract_canon_sha256":"300e1dbc775d2576b2fcfd9fac4b427efaf51a66f5bdeb5c6beb70a7526babf5"},"schema_version":"1.0"},"canonical_sha256":"9106c6f7317c5c16abc53470bfe431fbc503c07c627043b8d307a6e896a84222","source":{"kind":"arxiv","id":"1905.07894","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07894","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07894v1","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07894","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"pith_short_12","alias_value":"SEDMN5ZRPROB","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SEDMN5ZRPROBNK6F","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SEDMN5ZR","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:SEDMN5ZRPROBNK6FGRYL7ZBR7P","target":"record","payload":{"canonical_record":{"source":{"id":"1905.07894","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-20T06:15:07Z","cross_cats_sorted":["cs.CL","cs.SI"],"title_canon_sha256":"6a456e3e5e28681a3fc12030a211afe6bb2cc4147042e8b901c14304b81b7f55","abstract_canon_sha256":"300e1dbc775d2576b2fcfd9fac4b427efaf51a66f5bdeb5c6beb70a7526babf5"},"schema_version":"1.0"},"canonical_sha256":"9106c6f7317c5c16abc53470bfe431fbc503c07c627043b8d307a6e896a84222","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:22.933628Z","signature_b64":"iN0v3xaYrCtqp/5vnqEgUeTyqAsw4l+Hq7X7mfvzTySe9OX7gnG5m981Yr5TuaCXrxK+AtDHO16ZwBfxhjkgAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9106c6f7317c5c16abc53470bfe431fbc503c07c627043b8d307a6e896a84222","last_reissued_at":"2026-05-17T23:43:22.932962Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:22.932962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.07894","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":"2026-05-17T23:43:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i0x+J4FphyZ8dIQvZma5y5ktNIBDIzHJnmdHV/pGOHCwqqWTOmM63waV/n58YZk0mgpjCrnOzj9Y4qDFD/CNCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:34:58.355950Z"},"content_sha256":"a57a87f52b30459d2c3ba0cd1f2dbd96b6fd7021798d689dc182d92e3f4e769b","schema_version":"1.0","event_id":"sha256:a57a87f52b30459d2c3ba0cd1f2dbd96b6fd7021798d689dc182d92e3f4e769b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:SEDMN5ZRPROBNK6FGRYL7ZBR7P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SI"],"primary_cat":"cs.IR","authors_text":"Georges Linar\\`es (LIA), No\\'e Cecillon (LIA), Richard Dufour (LIA), Vincent Labatut (LIA)","submitted_at":"2019-05-20T06:15:07Z","abstract_excerpt":"In recent years, online social networks have allowed worldwide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent users from adopting inappropriate behaviors. This verification task, mainly done by humans, is more and more difficult due to the ever growing amount of messages to check. Methods have been proposed to automatize this moderation process, mainly by providing approaches based on the textual content of the exchanged messages. Recent work has also shown that characteristics derived from the structure of conversations, in th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07894","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":"2026-05-17T23:43:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nlpielpznQRtMXzRVDKOBNxqhsVVCbUiCIGaNz7BLqBrsBObUPMELpGXlKUDVSdDICsUkymYGNypK7FlVRHIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:34:58.356654Z"},"content_sha256":"d2ea47543336b10c7039bc4b6e2ac8e48aac98c7dc087d4eb76dc2f494f57b1e","schema_version":"1.0","event_id":"sha256:d2ea47543336b10c7039bc4b6e2ac8e48aac98c7dc087d4eb76dc2f494f57b1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/bundle.json","state_url":"https://pith.science/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/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":"2026-06-09T06:34:58Z","links":{"resolver":"https://pith.science/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P","bundle":"https://pith.science/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/bundle.json","state":"https://pith.science/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEDMN5ZRPROBNK6FGRYL7ZBR7P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:SEDMN5ZRPROBNK6FGRYL7ZBR7P","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":"300e1dbc775d2576b2fcfd9fac4b427efaf51a66f5bdeb5c6beb70a7526babf5","cross_cats_sorted":["cs.CL","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-20T06:15:07Z","title_canon_sha256":"6a456e3e5e28681a3fc12030a211afe6bb2cc4147042e8b901c14304b81b7f55"},"schema_version":"1.0","source":{"id":"1905.07894","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.07894","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"arxiv_version","alias_value":"1905.07894v1","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.07894","created_at":"2026-05-17T23:43:22Z"},{"alias_kind":"pith_short_12","alias_value":"SEDMN5ZRPROB","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SEDMN5ZRPROBNK6F","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SEDMN5ZR","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:d2ea47543336b10c7039bc4b6e2ac8e48aac98c7dc087d4eb76dc2f494f57b1e","target":"graph","created_at":"2026-05-17T23:43:22Z","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":"In recent years, online social networks have allowed worldwide users to meet and discuss. As guarantors of these communities, the administrators of these platforms must prevent users from adopting inappropriate behaviors. This verification task, mainly done by humans, is more and more difficult due to the ever growing amount of messages to check. Methods have been proposed to automatize this moderation process, mainly by providing approaches based on the textual content of the exchanged messages. Recent work has also shown that characteristics derived from the structure of conversations, in th","authors_text":"Georges Linar\\`es (LIA), No\\'e Cecillon (LIA), Richard Dufour (LIA), Vincent Labatut (LIA)","cross_cats":["cs.CL","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-20T06:15:07Z","title":"Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.07894","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:a57a87f52b30459d2c3ba0cd1f2dbd96b6fd7021798d689dc182d92e3f4e769b","target":"record","created_at":"2026-05-17T23:43:22Z","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":"300e1dbc775d2576b2fcfd9fac4b427efaf51a66f5bdeb5c6beb70a7526babf5","cross_cats_sorted":["cs.CL","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-20T06:15:07Z","title_canon_sha256":"6a456e3e5e28681a3fc12030a211afe6bb2cc4147042e8b901c14304b81b7f55"},"schema_version":"1.0","source":{"id":"1905.07894","kind":"arxiv","version":1}},"canonical_sha256":"9106c6f7317c5c16abc53470bfe431fbc503c07c627043b8d307a6e896a84222","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9106c6f7317c5c16abc53470bfe431fbc503c07c627043b8d307a6e896a84222","first_computed_at":"2026-05-17T23:43:22.932962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:22.932962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iN0v3xaYrCtqp/5vnqEgUeTyqAsw4l+Hq7X7mfvzTySe9OX7gnG5m981Yr5TuaCXrxK+AtDHO16ZwBfxhjkgAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:22.933628Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.07894","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a57a87f52b30459d2c3ba0cd1f2dbd96b6fd7021798d689dc182d92e3f4e769b","sha256:d2ea47543336b10c7039bc4b6e2ac8e48aac98c7dc087d4eb76dc2f494f57b1e"],"state_sha256":"c8e8f373222da39f9974e92c2be95a4fb25a85a65ab1bda9a43bfdc5712fcfbb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TYdbtsqiWx5vSMu924pW7NmZs/Hpv3ZZ3mvsv48T22b+GNOY/zvV3UJg7heI0PW2QFCXsLICTQI0wbbfUjC+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:34:58.360646Z","bundle_sha256":"f67511f3497671265cb8c48c1ea08a6e227cae544d4a77057f75101475c4d0d1"}}