{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EXNY7MV23V3WWYLU6DBIXD7MQ3","short_pith_number":"pith:EXNY7MV2","canonical_record":{"source":{"id":"2501.17581","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T11:38:29Z","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"title_canon_sha256":"92b30d2e8854c3fc898d0ea747add68d2f612fba989ee047ec45bc3c5393e7d7","abstract_canon_sha256":"5c1b6741ef0645e4eb0692eab2bd2be4ff7dd0b5aafceb6e6b50a3a87de924dd"},"schema_version":"1.0"},"canonical_sha256":"25db8fb2badd776b6174f0c28b8fec86cff48fab8548d99ec24e7508fbd1e586","source":{"kind":"arxiv","id":"2501.17581","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17581","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17581v2","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17581","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_12","alias_value":"EXNY7MV23V3W","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_16","alias_value":"EXNY7MV23V3WWYLU","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_8","alias_value":"EXNY7MV2","created_at":"2026-07-05T10:11:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EXNY7MV23V3WWYLU6DBIXD7MQ3","target":"record","payload":{"canonical_record":{"source":{"id":"2501.17581","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T11:38:29Z","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"title_canon_sha256":"92b30d2e8854c3fc898d0ea747add68d2f612fba989ee047ec45bc3c5393e7d7","abstract_canon_sha256":"5c1b6741ef0645e4eb0692eab2bd2be4ff7dd0b5aafceb6e6b50a3a87de924dd"},"schema_version":"1.0"},"canonical_sha256":"25db8fb2badd776b6174f0c28b8fec86cff48fab8548d99ec24e7508fbd1e586","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:32.479020Z","signature_b64":"8FBdfguksVpz+rFJwlLzVgn/8OO5Tz10xr/3C2p9ym6Q5D7Z/Xa1EDs8RvRCKQfpDDsiX6gmneuh+T4cviiGDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25db8fb2badd776b6174f0c28b8fec86cff48fab8548d99ec24e7508fbd1e586","last_reissued_at":"2026-07-05T10:11:32.478568Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:32.478568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.17581","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":"2026-07-05T10:11:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2PjdsjxAYIep6TSz4RwF+G0vVZy8mv76DL2hEblZyvLkblirAmCuFqb3NLbK8lW5u565xQ2426c58pMvLlZzDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:19:08.248646Z"},"content_sha256":"eae77108f6ddc85850c86bf9dc63dcd92637169d8dbf3b529de03214ed04d162","schema_version":"1.0","event_id":"sha256:eae77108f6ddc85850c86bf9dc63dcd92637169d8dbf3b529de03214ed04d162"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EXNY7MV23V3WWYLU6DBIXD7MQ3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","cs.SI"],"primary_cat":"cs.CL","authors_text":"Amey Hengle, Anil Bandhakavi, Aswini Kumar, Tanmoy Chakraborty","submitted_at":"2025-01-29T11:38:29Z","abstract_excerpt":"Counterspeech has emerged as a popular and effective strategy for combating online hate speech, sparking growing research interest in automating its generation using language models. However, the field still lacks standardised evaluation protocols and reliable automated evaluation metrics that align with human judgement. Current automatic evaluation methods, primarily based on similarity metrics, do not effectively capture the complex and independent attributes of counterspeech quality, such as contextual relevance, aggressiveness, or argumentative coherence. This has led to an increased depen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17581","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/2501.17581/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":"2026-07-05T10:11:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0p+NUkE9x42kjlFTB4pINWCMVm4srrsn6rNblDcQG9kLCSP+jiR7zLC437FezYYAsx55HPVAeHrpWr/4zRB/Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T02:19:08.249155Z"},"content_sha256":"dc931c749214873a8d0bd4041a47e170301ff88f6bbe3bfbaae639e36e8299f7","schema_version":"1.0","event_id":"sha256:dc931c749214873a8d0bd4041a47e170301ff88f6bbe3bfbaae639e36e8299f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/bundle.json","state_url":"https://pith.science/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/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":"2026-08-09T02:19:08Z","links":{"resolver":"https://pith.science/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3","bundle":"https://pith.science/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/bundle.json","state":"https://pith.science/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EXNY7MV23V3WWYLU6DBIXD7MQ3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EXNY7MV23V3WWYLU6DBIXD7MQ3","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":"5c1b6741ef0645e4eb0692eab2bd2be4ff7dd0b5aafceb6e6b50a3a87de924dd","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T11:38:29Z","title_canon_sha256":"92b30d2e8854c3fc898d0ea747add68d2f612fba989ee047ec45bc3c5393e7d7"},"schema_version":"1.0","source":{"id":"2501.17581","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17581","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17581v2","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17581","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_12","alias_value":"EXNY7MV23V3W","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_16","alias_value":"EXNY7MV23V3WWYLU","created_at":"2026-07-05T10:11:32Z"},{"alias_kind":"pith_short_8","alias_value":"EXNY7MV2","created_at":"2026-07-05T10:11:32Z"}],"graph_snapshots":[{"event_id":"sha256:dc931c749214873a8d0bd4041a47e170301ff88f6bbe3bfbaae639e36e8299f7","target":"graph","created_at":"2026-07-05T10:11:32Z","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/2501.17581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Counterspeech has emerged as a popular and effective strategy for combating online hate speech, sparking growing research interest in automating its generation using language models. However, the field still lacks standardised evaluation protocols and reliable automated evaluation metrics that align with human judgement. Current automatic evaluation methods, primarily based on similarity metrics, do not effectively capture the complex and independent attributes of counterspeech quality, such as contextual relevance, aggressiveness, or argumentative coherence. This has led to an increased depen","authors_text":"Amey Hengle, Anil Bandhakavi, Aswini Kumar, Tanmoy Chakraborty","cross_cats":["cs.AI","cs.CY","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T11:38:29Z","title":"CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17581","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:eae77108f6ddc85850c86bf9dc63dcd92637169d8dbf3b529de03214ed04d162","target":"record","created_at":"2026-07-05T10:11:32Z","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":"5c1b6741ef0645e4eb0692eab2bd2be4ff7dd0b5aafceb6e6b50a3a87de924dd","cross_cats_sorted":["cs.AI","cs.CY","cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-29T11:38:29Z","title_canon_sha256":"92b30d2e8854c3fc898d0ea747add68d2f612fba989ee047ec45bc3c5393e7d7"},"schema_version":"1.0","source":{"id":"2501.17581","kind":"arxiv","version":2}},"canonical_sha256":"25db8fb2badd776b6174f0c28b8fec86cff48fab8548d99ec24e7508fbd1e586","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25db8fb2badd776b6174f0c28b8fec86cff48fab8548d99ec24e7508fbd1e586","first_computed_at":"2026-07-05T10:11:32.478568Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:32.478568Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8FBdfguksVpz+rFJwlLzVgn/8OO5Tz10xr/3C2p9ym6Q5D7Z/Xa1EDs8RvRCKQfpDDsiX6gmneuh+T4cviiGDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:32.479020Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17581","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eae77108f6ddc85850c86bf9dc63dcd92637169d8dbf3b529de03214ed04d162","sha256:dc931c749214873a8d0bd4041a47e170301ff88f6bbe3bfbaae639e36e8299f7"],"state_sha256":"92d5d90048cdf1b885488d97fc9ba12990d99be2314db078c2fa1c44118e2297"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/8Tyoz0BNLtDIrlSaSLTxpQPFhrv4TiR99TbZom7Z5xt1vsZtzS0rQvCIA0898UzJPrMErHMeE5TcL17oamBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T02:19:08.254066Z","bundle_sha256":"73bdaf7e95df8c4226a274c925b2ec95d54426a1470bd75c3e06e90808fed7a9"}}