{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:X274KHZPI6K7CWRGWEJJZL2RQN","short_pith_number":"pith:X274KHZP","canonical_record":{"source":{"id":"2402.17630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T15:57:11Z","cross_cats_sorted":[],"title_canon_sha256":"943336dbec8e7054cf769f07c885de4a6ee39ef59a201bc433277dd022c47ae5","abstract_canon_sha256":"142b5c70a88e5612d10b3a20c361d2bd735618d1219ee2f0d5ecf995bef5bb1a"},"schema_version":"1.0"},"canonical_sha256":"bebfc51f2f4795f15a26b1129caf51837efb2bf27b2952d5e4beb688f3e6e1e2","source":{"kind":"arxiv","id":"2402.17630","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.17630","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"2402.17630v1","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.17630","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"X274KHZPI6K7","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_16","alias_value":"X274KHZPI6K7CWRG","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_8","alias_value":"X274KHZP","created_at":"2026-07-05T07:49:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:X274KHZPI6K7CWRGWEJJZL2RQN","target":"record","payload":{"canonical_record":{"source":{"id":"2402.17630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T15:57:11Z","cross_cats_sorted":[],"title_canon_sha256":"943336dbec8e7054cf769f07c885de4a6ee39ef59a201bc433277dd022c47ae5","abstract_canon_sha256":"142b5c70a88e5612d10b3a20c361d2bd735618d1219ee2f0d5ecf995bef5bb1a"},"schema_version":"1.0"},"canonical_sha256":"bebfc51f2f4795f15a26b1129caf51837efb2bf27b2952d5e4beb688f3e6e1e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:49:49.184822Z","signature_b64":"AKV4/mC0LnNeWzmJOwjZ3Ixw1FEW49Y0Nyax1qzuQNTx7HZnq+bEC6a4VjFvRZhBSK3vAVfV+zZpXDvSDwemDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bebfc51f2f4795f15a26b1129caf51837efb2bf27b2952d5e4beb688f3e6e1e2","last_reissued_at":"2026-07-05T07:49:49.184479Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:49:49.184479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.17630","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":"2026-07-05T07:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TBSOhDuLPMeXfCbGA9FJpc09Vn3boxxLv1XfchJvxvaixEriz6bzHH9LQJLEM+1htMtVRsqLlPhKJyYKjaODBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:26:38.933353Z"},"content_sha256":"dbf962625efc41cb50da4cd08809ee0d12a9f3f86f978c6e578b13037a7464b0","schema_version":"1.0","event_id":"sha256:dbf962625efc41cb50da4cd08809ee0d12a9f3f86f978c6e578b13037a7464b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:X274KHZPI6K7CWRGWEJJZL2RQN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Huajian Zhang, Laura Perez-Beltrachini, Yumo Xu","submitted_at":"2024-02-27T15:57:11Z","abstract_excerpt":"We study existing approaches to leverage off-the-shelf Natural Language Inference (NLI) models for the evaluation of summary faithfulness and argue that these are sub-optimal due to the granularity level considered for premises and hypotheses. That is, the smaller content unit considered as hypothesis is a sentence and premises are made up of a fixed number of document sentences. We propose a novel approach, namely InFusE, that uses a variable premise size and simplifies summary sentences into shorter hypotheses. Departing from previous studies which focus on single short document summarisatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.17630","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/2402.17630/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":"2026-07-05T07:49:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YAsZHwsXwkTH5qVZAOnUZ4ABisvevoZ/Cne7cfAIpwsOHY9JOrLEWWGTmlCO5xRqLkDn2I35WckSO8RcRiM2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:26:38.933877Z"},"content_sha256":"fafe9245a47b0bf7b1927ad77b0afc70f70ecc96be429f0a544540ec752e351e","schema_version":"1.0","event_id":"sha256:fafe9245a47b0bf7b1927ad77b0afc70f70ecc96be429f0a544540ec752e351e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X274KHZPI6K7CWRGWEJJZL2RQN/bundle.json","state_url":"https://pith.science/pith/X274KHZPI6K7CWRGWEJJZL2RQN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X274KHZPI6K7CWRGWEJJZL2RQN/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":"2026-08-08T20:26:38Z","links":{"resolver":"https://pith.science/pith/X274KHZPI6K7CWRGWEJJZL2RQN","bundle":"https://pith.science/pith/X274KHZPI6K7CWRGWEJJZL2RQN/bundle.json","state":"https://pith.science/pith/X274KHZPI6K7CWRGWEJJZL2RQN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X274KHZPI6K7CWRGWEJJZL2RQN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:X274KHZPI6K7CWRGWEJJZL2RQN","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":"142b5c70a88e5612d10b3a20c361d2bd735618d1219ee2f0d5ecf995bef5bb1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T15:57:11Z","title_canon_sha256":"943336dbec8e7054cf769f07c885de4a6ee39ef59a201bc433277dd022c47ae5"},"schema_version":"1.0","source":{"id":"2402.17630","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.17630","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"arxiv_version","alias_value":"2402.17630v1","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.17630","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_12","alias_value":"X274KHZPI6K7","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_16","alias_value":"X274KHZPI6K7CWRG","created_at":"2026-07-05T07:49:49Z"},{"alias_kind":"pith_short_8","alias_value":"X274KHZP","created_at":"2026-07-05T07:49:49Z"}],"graph_snapshots":[{"event_id":"sha256:fafe9245a47b0bf7b1927ad77b0afc70f70ecc96be429f0a544540ec752e351e","target":"graph","created_at":"2026-07-05T07:49:49Z","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/2402.17630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study existing approaches to leverage off-the-shelf Natural Language Inference (NLI) models for the evaluation of summary faithfulness and argue that these are sub-optimal due to the granularity level considered for premises and hypotheses. That is, the smaller content unit considered as hypothesis is a sentence and premises are made up of a fixed number of document sentences. We propose a novel approach, namely InFusE, that uses a variable premise size and simplifies summary sentences into shorter hypotheses. Departing from previous studies which focus on single short document summarisatio","authors_text":"Huajian Zhang, Laura Perez-Beltrachini, Yumo Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T15:57:11Z","title":"Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.17630","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:dbf962625efc41cb50da4cd08809ee0d12a9f3f86f978c6e578b13037a7464b0","target":"record","created_at":"2026-07-05T07:49:49Z","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":"142b5c70a88e5612d10b3a20c361d2bd735618d1219ee2f0d5ecf995bef5bb1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-27T15:57:11Z","title_canon_sha256":"943336dbec8e7054cf769f07c885de4a6ee39ef59a201bc433277dd022c47ae5"},"schema_version":"1.0","source":{"id":"2402.17630","kind":"arxiv","version":1}},"canonical_sha256":"bebfc51f2f4795f15a26b1129caf51837efb2bf27b2952d5e4beb688f3e6e1e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bebfc51f2f4795f15a26b1129caf51837efb2bf27b2952d5e4beb688f3e6e1e2","first_computed_at":"2026-07-05T07:49:49.184479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:49:49.184479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AKV4/mC0LnNeWzmJOwjZ3Ixw1FEW49Y0Nyax1qzuQNTx7HZnq+bEC6a4VjFvRZhBSK3vAVfV+zZpXDvSDwemDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:49:49.184822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.17630","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dbf962625efc41cb50da4cd08809ee0d12a9f3f86f978c6e578b13037a7464b0","sha256:fafe9245a47b0bf7b1927ad77b0afc70f70ecc96be429f0a544540ec752e351e"],"state_sha256":"f8cf3edef4b8eb8937a3793ff5f6eb55a5a3a226f1e683803f1f21eaacb3f95f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bIn1Kkcf3WIqNa6Jouagxuq3HG5Uf8O2guIq9GQiUyLUNxf/K2E7Fp/KWjsLegro3+mzFrW1bRNxGo18FU5YAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:26:38.937866Z","bundle_sha256":"69a72a33d9bd4102a464c1fa388258fc08641476580f40f0fdcab1a8ae4728fd"}}