{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:YDLFYK56ANNW3EAEPSBJSIDQJC","short_pith_number":"pith:YDLFYK56","canonical_record":{"source":{"id":"1904.04073","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T03:49:22Z","cross_cats_sorted":[],"title_canon_sha256":"9c72b06decf9e01cf3617ec6f10a0dfafa9ef5285665802fd839f24c9bd46ca8","abstract_canon_sha256":"138c5ebf46bf6dc9220440d4d75b001215655491cadf0570af8c560ba3d5aec0"},"schema_version":"1.0"},"canonical_sha256":"c0d65c2bbe035b6d90047c829920704884fa19bbf52732739363382e658f0022","source":{"kind":"arxiv","id":"1904.04073","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04073","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04073v1","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04073","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"pith_short_12","alias_value":"YDLFYK56ANNW","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YDLFYK56ANNW3EAE","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YDLFYK56","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:YDLFYK56ANNW3EAEPSBJSIDQJC","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04073","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T03:49:22Z","cross_cats_sorted":[],"title_canon_sha256":"9c72b06decf9e01cf3617ec6f10a0dfafa9ef5285665802fd839f24c9bd46ca8","abstract_canon_sha256":"138c5ebf46bf6dc9220440d4d75b001215655491cadf0570af8c560ba3d5aec0"},"schema_version":"1.0"},"canonical_sha256":"c0d65c2bbe035b6d90047c829920704884fa19bbf52732739363382e658f0022","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:07.156043Z","signature_b64":"H/H055Unr24/6Hh7IjhkAd/fdXILVCdMsn2is/u18P2TmG2MktN+ay096ylYW2e2+Xxnpb7PJlrUoO2XtcGPBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0d65c2bbe035b6d90047c829920704884fa19bbf52732739363382e658f0022","last_reissued_at":"2026-05-17T23:49:07.155434Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:07.155434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04073","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":"2026-05-17T23:49:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oHojGQmvgm5F8ApSYOQmdESrY6vOrUE/5n+Zyk2lhnAtPPewx/3udxBI1LYHlAKEnVeeVykyxGG9Cmk2zXteAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T07:42:35.551417Z"},"content_sha256":"d92703e88ba20abbd5b178fdc40b8ee0780e6d75d528ca98e9ad5343a1d193e4","schema_version":"1.0","event_id":"sha256:d92703e88ba20abbd5b178fdc40b8ee0780e6d75d528ca98e9ad5343a1d193e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:YDLFYK56ANNW3EAEPSBJSIDQJC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Abusive Language Detection with Graph Convolutional Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ekaterina Shutova, Helen Yannakoudakis, Marco Del Tredici, Pushkar Mishra","submitted_at":"2019-04-05T03:49:22Z","abstract_excerpt":"Abuse on the Internet represents a significant societal problem of our time. Previous research on automated abusive language detection in Twitter has shown that community-based profiling of users is a promising technique for this task. However, existing approaches only capture shallow properties of online communities by modeling follower-following relationships. In contrast, working with graph convolutional networks (GCNs), we present the first approach that captures not only the structure of online communities but also the linguistic behavior of the users within them. We show that such a hete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04073","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":"2026-05-17T23:49:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"57DTIWVCYO5iQ6J6YZuErcuM7QmNoeKl2IYyh92SusEI94klncDenGU7YfZTFV4GLa29SGgouf90l/kLYFrsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T07:42:35.551754Z"},"content_sha256":"3301c5b9e312a832359cbf2f5cfa466e1e1f78e91be7131656f1ac0609206dbd","schema_version":"1.0","event_id":"sha256:3301c5b9e312a832359cbf2f5cfa466e1e1f78e91be7131656f1ac0609206dbd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/bundle.json","state_url":"https://pith.science/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/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":"2026-07-15T07:42:35Z","links":{"resolver":"https://pith.science/pith/YDLFYK56ANNW3EAEPSBJSIDQJC","bundle":"https://pith.science/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/bundle.json","state":"https://pith.science/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YDLFYK56ANNW3EAEPSBJSIDQJC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YDLFYK56ANNW3EAEPSBJSIDQJC","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":"138c5ebf46bf6dc9220440d4d75b001215655491cadf0570af8c560ba3d5aec0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T03:49:22Z","title_canon_sha256":"9c72b06decf9e01cf3617ec6f10a0dfafa9ef5285665802fd839f24c9bd46ca8"},"schema_version":"1.0","source":{"id":"1904.04073","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04073","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04073v1","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04073","created_at":"2026-05-17T23:49:07Z"},{"alias_kind":"pith_short_12","alias_value":"YDLFYK56ANNW","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YDLFYK56ANNW3EAE","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YDLFYK56","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:3301c5b9e312a832359cbf2f5cfa466e1e1f78e91be7131656f1ac0609206dbd","target":"graph","created_at":"2026-05-17T23:49:07Z","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":"Abuse on the Internet represents a significant societal problem of our time. Previous research on automated abusive language detection in Twitter has shown that community-based profiling of users is a promising technique for this task. However, existing approaches only capture shallow properties of online communities by modeling follower-following relationships. In contrast, working with graph convolutional networks (GCNs), we present the first approach that captures not only the structure of online communities but also the linguistic behavior of the users within them. We show that such a hete","authors_text":"Ekaterina Shutova, Helen Yannakoudakis, Marco Del Tredici, Pushkar Mishra","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T03:49:22Z","title":"Abusive Language Detection with Graph Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04073","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:d92703e88ba20abbd5b178fdc40b8ee0780e6d75d528ca98e9ad5343a1d193e4","target":"record","created_at":"2026-05-17T23:49:07Z","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":"138c5ebf46bf6dc9220440d4d75b001215655491cadf0570af8c560ba3d5aec0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-05T03:49:22Z","title_canon_sha256":"9c72b06decf9e01cf3617ec6f10a0dfafa9ef5285665802fd839f24c9bd46ca8"},"schema_version":"1.0","source":{"id":"1904.04073","kind":"arxiv","version":1}},"canonical_sha256":"c0d65c2bbe035b6d90047c829920704884fa19bbf52732739363382e658f0022","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0d65c2bbe035b6d90047c829920704884fa19bbf52732739363382e658f0022","first_computed_at":"2026-05-17T23:49:07.155434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:07.155434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H/H055Unr24/6Hh7IjhkAd/fdXILVCdMsn2is/u18P2TmG2MktN+ay096ylYW2e2+Xxnpb7PJlrUoO2XtcGPBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:07.156043Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04073","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d92703e88ba20abbd5b178fdc40b8ee0780e6d75d528ca98e9ad5343a1d193e4","sha256:3301c5b9e312a832359cbf2f5cfa466e1e1f78e91be7131656f1ac0609206dbd"],"state_sha256":"cb97441f28b1d25127207f829a809d44d551e5f521f6294cb0fd988ec17882de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B+cO26ryOSJSSLmTO7Acw7LuTyJcoA7soYaq3IHFICA9XZLo/0ppgU6nnMiEP/DMvoTIrMJkU0h2rC6qvB2yCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T07:42:35.553761Z","bundle_sha256":"68a2c53202b79bd95070303ecefb48fc9d2032464ec47e66fae19958a1e1f432"}}