{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:PAPXGJEJLFY2HGVPLGAODX2JSU","short_pith_number":"pith:PAPXGJEJ","canonical_record":{"source":{"id":"1606.05704","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-17T23:22:39Z","cross_cats_sorted":[],"title_canon_sha256":"fc81f76907a08c761bd19fcd08b5853c258c7f28d7d48c5bd6a9d1f7b2bd9c82","abstract_canon_sha256":"34ad0cf6763a3aec2ae3750e80d156c845f1f284c59ad7521c030f3c06474fe9"},"schema_version":"1.0"},"canonical_sha256":"781f7324895971a39aaf5980e1df4995125c100aaaa2b705bb41a5556b5fc244","source":{"kind":"arxiv","id":"1606.05704","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.05704","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"arxiv_version","alias_value":"1606.05704v1","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.05704","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"pith_short_12","alias_value":"PAPXGJEJLFY2","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PAPXGJEJLFY2HGVP","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PAPXGJEJ","created_at":"2026-05-18T12:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:PAPXGJEJLFY2HGVPLGAODX2JSU","target":"record","payload":{"canonical_record":{"source":{"id":"1606.05704","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-17T23:22:39Z","cross_cats_sorted":[],"title_canon_sha256":"fc81f76907a08c761bd19fcd08b5853c258c7f28d7d48c5bd6a9d1f7b2bd9c82","abstract_canon_sha256":"34ad0cf6763a3aec2ae3750e80d156c845f1f284c59ad7521c030f3c06474fe9"},"schema_version":"1.0"},"canonical_sha256":"781f7324895971a39aaf5980e1df4995125c100aaaa2b705bb41a5556b5fc244","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:16.230112Z","signature_b64":"USYOwXkIymvR8RL8g47oKre6NBR/g03LuC3/EnfyRa1jDefXyx3CdlrlTg3Fn1lYmz76E8qiImy/lKv8kWQcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"781f7324895971a39aaf5980e1df4995125c100aaaa2b705bb41a5556b5fc244","last_reissued_at":"2026-05-18T01:12:16.229604Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:16.229604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.05704","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":"2026-05-18T01:12:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aA2GOiaMjIjn4m+SgyvsrsAzSnAOYctKXxLyv+pxeVShl+uG6UBUyUia66/7MUjRa9PZzwEVGmsEfj0f4um9AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T09:23:21.899954Z"},"content_sha256":"6d0fb4b6ee7fbe29317897e4a3b2a57e0184f39f3d6e7bdb6922e6232c7cd94e","schema_version":"1.0","event_id":"sha256:6d0fb4b6ee7fbe29317897e4a3b2a57e0184f39f3d6e7bdb6922e6232c7cd94e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:PAPXGJEJLFY2HGVPLGAODX2JSU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Claire Cardie, Lu Wang","submitted_at":"2016-06-17T23:22:39Z","abstract_excerpt":"We investigate the novel task of online dispute detection and propose a sentiment analysis solution to the problem: we aim to identify the sequence of sentence-level sentiments expressed during a discussion and to use them as features in a classifier that predicts the DISPUTE/NON-DISPUTE label for the discussion as a whole. We evaluate dispute detection approaches on a newly created corpus of Wikipedia Talk page disputes and find that classifiers that rely on our sentiment tagging features outperform those that do not. The best model achieves a very promising F1 score of 0.78 and an accuracy o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.05704","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":"2026-05-18T01:12:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qA2dqA+ZqxXnlBcnLXtg8Za0qSpsrOCqUCK+ZtrtB7RieXc4FDHIg69KqnpLjdunLhEitMghXkRSu5kupz4jDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T09:23:21.900708Z"},"content_sha256":"6652f3cb4ebe545af4985b3d2f6b4ebc058f488d362ff53d5f4750abf48d7fe8","schema_version":"1.0","event_id":"sha256:6652f3cb4ebe545af4985b3d2f6b4ebc058f488d362ff53d5f4750abf48d7fe8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/bundle.json","state_url":"https://pith.science/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/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":"2026-05-31T09:23:21Z","links":{"resolver":"https://pith.science/pith/PAPXGJEJLFY2HGVPLGAODX2JSU","bundle":"https://pith.science/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/bundle.json","state":"https://pith.science/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PAPXGJEJLFY2HGVPLGAODX2JSU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PAPXGJEJLFY2HGVPLGAODX2JSU","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":"34ad0cf6763a3aec2ae3750e80d156c845f1f284c59ad7521c030f3c06474fe9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-17T23:22:39Z","title_canon_sha256":"fc81f76907a08c761bd19fcd08b5853c258c7f28d7d48c5bd6a9d1f7b2bd9c82"},"schema_version":"1.0","source":{"id":"1606.05704","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.05704","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"arxiv_version","alias_value":"1606.05704v1","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.05704","created_at":"2026-05-18T01:12:16Z"},{"alias_kind":"pith_short_12","alias_value":"PAPXGJEJLFY2","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PAPXGJEJLFY2HGVP","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PAPXGJEJ","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:6652f3cb4ebe545af4985b3d2f6b4ebc058f488d362ff53d5f4750abf48d7fe8","target":"graph","created_at":"2026-05-18T01:12:16Z","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":"We investigate the novel task of online dispute detection and propose a sentiment analysis solution to the problem: we aim to identify the sequence of sentence-level sentiments expressed during a discussion and to use them as features in a classifier that predicts the DISPUTE/NON-DISPUTE label for the discussion as a whole. We evaluate dispute detection approaches on a newly created corpus of Wikipedia Talk page disputes and find that classifiers that rely on our sentiment tagging features outperform those that do not. The best model achieves a very promising F1 score of 0.78 and an accuracy o","authors_text":"Claire Cardie, Lu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-17T23:22:39Z","title":"A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.05704","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":"sha256:6d0fb4b6ee7fbe29317897e4a3b2a57e0184f39f3d6e7bdb6922e6232c7cd94e","target":"record","created_at":"2026-05-18T01:12:16Z","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":"34ad0cf6763a3aec2ae3750e80d156c845f1f284c59ad7521c030f3c06474fe9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-06-17T23:22:39Z","title_canon_sha256":"fc81f76907a08c761bd19fcd08b5853c258c7f28d7d48c5bd6a9d1f7b2bd9c82"},"schema_version":"1.0","source":{"id":"1606.05704","kind":"arxiv","version":1}},"canonical_sha256":"781f7324895971a39aaf5980e1df4995125c100aaaa2b705bb41a5556b5fc244","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"781f7324895971a39aaf5980e1df4995125c100aaaa2b705bb41a5556b5fc244","first_computed_at":"2026-05-18T01:12:16.229604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:16.229604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"USYOwXkIymvR8RL8g47oKre6NBR/g03LuC3/EnfyRa1jDefXyx3CdlrlTg3Fn1lYmz76E8qiImy/lKv8kWQcAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:16.230112Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.05704","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d0fb4b6ee7fbe29317897e4a3b2a57e0184f39f3d6e7bdb6922e6232c7cd94e","sha256:6652f3cb4ebe545af4985b3d2f6b4ebc058f488d362ff53d5f4750abf48d7fe8"],"state_sha256":"468059f06da1b98b25c4498ec9efb98e6b8b6adde50615975a06cbe82fd802f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z9RqA+zCE/b8971IaFN3AH37DCPjhOQrkk299UftApU0nyJ2qmUKXnNyyLVa1AIkx3cWYvoCXo1KZuvbMcNJDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T09:23:21.905203Z","bundle_sha256":"22882036444045f83b65e4951bff1a9cacb522846b755ce2c7d56d33342f12b9"}}