{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:GYSVFEKC3LM6DWZCCSRW7Z23ZN","short_pith_number":"pith:GYSVFEKC","canonical_record":{"source":{"id":"2310.05650","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T12:01:26Z","cross_cats_sorted":[],"title_canon_sha256":"2ab996ea0d950afd8c59442d419b4236fa0045fcb0ac84f2a8f3aa13c1a6da5b","abstract_canon_sha256":"83b0ba3d5e30415fde01fa092dc168356c1220d2c60ba2dfdad4c06cdf847bbf"},"schema_version":"1.0"},"canonical_sha256":"3625529142dad9e1db2214a36fe75bcb541bfbb7de3427c6eaf62ef68cbb26c5","source":{"kind":"arxiv","id":"2310.05650","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05650","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05650v2","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05650","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_12","alias_value":"GYSVFEKC3LM6","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_16","alias_value":"GYSVFEKC3LM6DWZC","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_8","alias_value":"GYSVFEKC","created_at":"2026-07-05T09:54:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:GYSVFEKC3LM6DWZCCSRW7Z23ZN","target":"record","payload":{"canonical_record":{"source":{"id":"2310.05650","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T12:01:26Z","cross_cats_sorted":[],"title_canon_sha256":"2ab996ea0d950afd8c59442d419b4236fa0045fcb0ac84f2a8f3aa13c1a6da5b","abstract_canon_sha256":"83b0ba3d5e30415fde01fa092dc168356c1220d2c60ba2dfdad4c06cdf847bbf"},"schema_version":"1.0"},"canonical_sha256":"3625529142dad9e1db2214a36fe75bcb541bfbb7de3427c6eaf62ef68cbb26c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:43.095338Z","signature_b64":"G+E2/fa0yeZM6NrsOvyxV3QA0YYk/9u4cAKPU/mk8hIGutxLX4iqQGuae7TT2AW1W9aNYN+yYM5PC87SDAAHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3625529142dad9e1db2214a36fe75bcb541bfbb7de3427c6eaf62ef68cbb26c5","last_reissued_at":"2026-07-05T09:54:43.094825Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:43.094825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.05650","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:54:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MvHdbW1NH+U/+uc0ZGYKJPLX/6P/kI23DURbm1+87nSDq25r5NJlqXj13LstpYmFucZ311UhusoFy2O7/lB2DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:43:55.523208Z"},"content_sha256":"7f96a31d688b88b6e799b5be8af4c3932108f2d9e07dfa3c5fd5bbbec0260224","schema_version":"1.0","event_id":"sha256:7f96a31d688b88b6e799b5be8af4c3932108f2d9e07dfa3c5fd5bbbec0260224"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:GYSVFEKC3LM6DWZCCSRW7Z23ZN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haizhou Wang, Rui Tang, Shuyu Jiang, Wenxian Wang, Wenyi Tang, Xingshu Chen","submitted_at":"2023-10-09T12:01:26Z","abstract_excerpt":"The proliferation of hate speech (HS) on social media poses a serious threat to societal security. Automatic counter narrative (CN) generation, as an active strategy for HS intervention, has garnered increasing attention in recent years. Existing methods for automatically generating CNs mainly rely on re-training or fine-tuning pre-trained language models (PLMs) on human-curated CN corpora. Unfortunately, the annotation speed of CN corpora cannot keep up with the growth of HS targets, while generating specific and effective CNs for unseen targets remains a significant challenge for the model. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05650","kind":"arxiv","version":2},"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/2310.05650/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":"2026-07-05T09:54:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vrdwKHeDTbDQgnqQouAcJSkuutS67W1p7bIMJwbIsLrN2GB98age3/x1/YaocEHIEdhbPRurj39TY6+eCoOdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:43:55.523757Z"},"content_sha256":"8a943c9fba74373a1d455c58b98ed89e2292dfdecf5dd4edbec5f803abc9140d","schema_version":"1.0","event_id":"sha256:8a943c9fba74373a1d455c58b98ed89e2292dfdecf5dd4edbec5f803abc9140d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/bundle.json","state_url":"https://pith.science/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/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":"2026-08-09T19:43:55Z","links":{"resolver":"https://pith.science/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN","bundle":"https://pith.science/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/bundle.json","state":"https://pith.science/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GYSVFEKC3LM6DWZCCSRW7Z23ZN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GYSVFEKC3LM6DWZCCSRW7Z23ZN","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":"83b0ba3d5e30415fde01fa092dc168356c1220d2c60ba2dfdad4c06cdf847bbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T12:01:26Z","title_canon_sha256":"2ab996ea0d950afd8c59442d419b4236fa0045fcb0ac84f2a8f3aa13c1a6da5b"},"schema_version":"1.0","source":{"id":"2310.05650","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05650","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05650v2","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05650","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_12","alias_value":"GYSVFEKC3LM6","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_16","alias_value":"GYSVFEKC3LM6DWZC","created_at":"2026-07-05T09:54:43Z"},{"alias_kind":"pith_short_8","alias_value":"GYSVFEKC","created_at":"2026-07-05T09:54:43Z"}],"graph_snapshots":[{"event_id":"sha256:8a943c9fba74373a1d455c58b98ed89e2292dfdecf5dd4edbec5f803abc9140d","target":"graph","created_at":"2026-07-05T09:54:43Z","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/2310.05650/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The proliferation of hate speech (HS) on social media poses a serious threat to societal security. Automatic counter narrative (CN) generation, as an active strategy for HS intervention, has garnered increasing attention in recent years. Existing methods for automatically generating CNs mainly rely on re-training or fine-tuning pre-trained language models (PLMs) on human-curated CN corpora. Unfortunately, the annotation speed of CN corpora cannot keep up with the growth of HS targets, while generating specific and effective CNs for unseen targets remains a significant challenge for the model. ","authors_text":"Haizhou Wang, Rui Tang, Shuyu Jiang, Wenxian Wang, Wenyi Tang, Xingshu Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T12:01:26Z","title":"ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05650","kind":"arxiv","version":2},"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":"sha256:7f96a31d688b88b6e799b5be8af4c3932108f2d9e07dfa3c5fd5bbbec0260224","target":"record","created_at":"2026-07-05T09:54:43Z","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":"83b0ba3d5e30415fde01fa092dc168356c1220d2c60ba2dfdad4c06cdf847bbf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T12:01:26Z","title_canon_sha256":"2ab996ea0d950afd8c59442d419b4236fa0045fcb0ac84f2a8f3aa13c1a6da5b"},"schema_version":"1.0","source":{"id":"2310.05650","kind":"arxiv","version":2}},"canonical_sha256":"3625529142dad9e1db2214a36fe75bcb541bfbb7de3427c6eaf62ef68cbb26c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3625529142dad9e1db2214a36fe75bcb541bfbb7de3427c6eaf62ef68cbb26c5","first_computed_at":"2026-07-05T09:54:43.094825Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:43.094825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G+E2/fa0yeZM6NrsOvyxV3QA0YYk/9u4cAKPU/mk8hIGutxLX4iqQGuae7TT2AW1W9aNYN+yYM5PC87SDAAHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:43.095338Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.05650","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f96a31d688b88b6e799b5be8af4c3932108f2d9e07dfa3c5fd5bbbec0260224","sha256:8a943c9fba74373a1d455c58b98ed89e2292dfdecf5dd4edbec5f803abc9140d"],"state_sha256":"e2c330799dce5bfba9371dd4b38c4c5ff53f0b7d000360c215645e5f8f11f70b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JF713BzqzTzaS1c2YKEVHylND+w0hvkJnOQNgwWWXv8Jyi11hmJquBRASkvLxlAgJHJQgtA0mlRjYLq9tqx+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:43:55.526927Z","bundle_sha256":"8743d9b7a70bf5aeff2911f02856d3f99458bfc06ac91e19b4b85c6bfdfdc279"}}