{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZJ6XHZZRLJBCBA6DKISJDU6UMZ","short_pith_number":"pith:ZJ6XHZZR","canonical_record":{"source":{"id":"2404.06137","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T09:03:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7dc3346c36e8bce8271546392d495971b25e511e2a44c61482ad03a799a301f0","abstract_canon_sha256":"89193f7b6877ed5238ec012a0e0a8a752833e1de21b2482fccbeae86c3fb4f6d"},"schema_version":"1.0"},"canonical_sha256":"ca7d73e7315a422083c3522491d3d4665e529ff31df32a48caf5ef12b2e2c646","source":{"kind":"arxiv","id":"2404.06137","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06137","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06137v1","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06137","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZJ6XHZZRLJBC","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZJ6XHZZRLJBCBA6D","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZJ6XHZZR","created_at":"2026-07-05T08:06:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZJ6XHZZRLJBCBA6DKISJDU6UMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2404.06137","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T09:03:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7dc3346c36e8bce8271546392d495971b25e511e2a44c61482ad03a799a301f0","abstract_canon_sha256":"89193f7b6877ed5238ec012a0e0a8a752833e1de21b2482fccbeae86c3fb4f6d"},"schema_version":"1.0"},"canonical_sha256":"ca7d73e7315a422083c3522491d3d4665e529ff31df32a48caf5ef12b2e2c646","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:04.714850Z","signature_b64":"PSQgmPRffWjHG/icHH/LYD7+A5KO7cfROcxug3qBkff3jaVL/sZZh6xLeD+lNF7sa8+3Ln1pYIV6GqfmqFLuDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca7d73e7315a422083c3522491d3d4665e529ff31df32a48caf5ef12b2e2c646","last_reissued_at":"2026-07-05T08:06:04.714369Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:04.714369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.06137","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":"2026-07-05T08:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A0PmXCtYm+3XEiPuXihcH05LyiejVHKI0eznRft62EryVlVNyEnkKVuFAxeaJo6z2AX7DF+f00+Yx7JZeBSxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:34:49.467097Z"},"content_sha256":"3f6ea65f22e6413468e6344a7e8ab31e9beff450c0ad8bbbcca5a74944e1a441","schema_version":"1.0","event_id":"sha256:3f6ea65f22e6413468e6344a7e8ab31e9beff450c0ad8bbbcca5a74944e1a441"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZJ6XHZZRLJBCBA6DKISJDU6UMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Alexander Panchenko, Elisei Rykov, Kseniia Petrushina, Kseniia Titova, Sergey Petrakov, Yana Shishkina","submitted_at":"2024-04-09T09:03:44Z","abstract_excerpt":"In this paper, we present our novel systems developed for the SemEval-2024 hallucination detection task. Our investigation spans a range of strategies to compare model predictions with reference standards, encompassing diverse baselines, the refinement of pre-trained encoders through supervised learning, and an ensemble approaches utilizing several high-performing models. Through these explorations, we introduce three distinct methods that exhibit strong performance metrics. To amplify our training data, we generate additional training samples from unlabelled training subset. Furthermore, we p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06137","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.06137/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":"2026-07-05T08:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XGakTSTXhRzJL+Jgi9icDXPhQuI+7XIpYALYlSUddECc1eoJ/5zrcOKlMVBF2wUpgV9CWSa0rl8rLf9K/yg2Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:34:49.468198Z"},"content_sha256":"022ee36d7891d235d821e7659d95581b974a5f7615275443d6ebbaf5df628662","schema_version":"1.0","event_id":"sha256:022ee36d7891d235d821e7659d95581b974a5f7615275443d6ebbaf5df628662"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/bundle.json","state_url":"https://pith.science/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/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":"2026-08-20T08:34:49Z","links":{"resolver":"https://pith.science/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ","bundle":"https://pith.science/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/bundle.json","state":"https://pith.science/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZJ6XHZZRLJBCBA6DKISJDU6UMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZJ6XHZZRLJBCBA6DKISJDU6UMZ","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":"89193f7b6877ed5238ec012a0e0a8a752833e1de21b2482fccbeae86c3fb4f6d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T09:03:44Z","title_canon_sha256":"7dc3346c36e8bce8271546392d495971b25e511e2a44c61482ad03a799a301f0"},"schema_version":"1.0","source":{"id":"2404.06137","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06137","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06137v1","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06137","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZJ6XHZZRLJBC","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZJ6XHZZRLJBCBA6D","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZJ6XHZZR","created_at":"2026-07-05T08:06:04Z"}],"graph_snapshots":[{"event_id":"sha256:022ee36d7891d235d821e7659d95581b974a5f7615275443d6ebbaf5df628662","target":"graph","created_at":"2026-07-05T08:06:04Z","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/2404.06137/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present our novel systems developed for the SemEval-2024 hallucination detection task. Our investigation spans a range of strategies to compare model predictions with reference standards, encompassing diverse baselines, the refinement of pre-trained encoders through supervised learning, and an ensemble approaches utilizing several high-performing models. Through these explorations, we introduce three distinct methods that exhibit strong performance metrics. To amplify our training data, we generate additional training samples from unlabelled training subset. Furthermore, we p","authors_text":"Alexander Panchenko, Elisei Rykov, Kseniia Petrushina, Kseniia Titova, Sergey Petrakov, Yana Shishkina","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T09:03:44Z","title":"SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06137","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":"sha256:3f6ea65f22e6413468e6344a7e8ab31e9beff450c0ad8bbbcca5a74944e1a441","target":"record","created_at":"2026-07-05T08:06:04Z","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":"89193f7b6877ed5238ec012a0e0a8a752833e1de21b2482fccbeae86c3fb4f6d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-09T09:03:44Z","title_canon_sha256":"7dc3346c36e8bce8271546392d495971b25e511e2a44c61482ad03a799a301f0"},"schema_version":"1.0","source":{"id":"2404.06137","kind":"arxiv","version":1}},"canonical_sha256":"ca7d73e7315a422083c3522491d3d4665e529ff31df32a48caf5ef12b2e2c646","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca7d73e7315a422083c3522491d3d4665e529ff31df32a48caf5ef12b2e2c646","first_computed_at":"2026-07-05T08:06:04.714369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:04.714369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PSQgmPRffWjHG/icHH/LYD7+A5KO7cfROcxug3qBkff3jaVL/sZZh6xLeD+lNF7sa8+3Ln1pYIV6GqfmqFLuDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:04.714850Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06137","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f6ea65f22e6413468e6344a7e8ab31e9beff450c0ad8bbbcca5a74944e1a441","sha256:022ee36d7891d235d821e7659d95581b974a5f7615275443d6ebbaf5df628662"],"state_sha256":"e0312c8b6e35880ff506982f173f5cbffd78289a46d448479d0849c59cf16009"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T62DsqsJ6+ZcEkVw7icO4DizCL2XsKXZCkoCs5X1MGtd9IAKBuFN9z+aJ4jV5+JLYD4kZRW+PGmzcIyEW0trDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T08:34:49.477455Z","bundle_sha256":"b1585806f6d5644c10957a83c11813c77d63b005437aa127a34fb53df355af6a"}}