{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZKH6JUL3ZWKLAYBYYWKY6MQ3KX","short_pith_number":"pith:ZKH6JUL3","canonical_record":{"source":{"id":"2305.09400","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-16T12:31:53Z","cross_cats_sorted":[],"title_canon_sha256":"b9c3793b9a94ac36dcf8c3d5c7df05146bfaa8a121ea78a8420b58977097c602","abstract_canon_sha256":"e6a4d828304149c39af9eba02f8dd1237153e1eb0aa40422d25d91d7b296c91f"},"schema_version":"1.0"},"canonical_sha256":"ca8fe4d17bcd94b06038c5958f321b55ddae9e0a9d14307e4b1862fc30bd328c","source":{"kind":"arxiv","id":"2305.09400","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09400","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09400v1","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09400","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"ZKH6JUL3ZWKL","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"ZKH6JUL3ZWKLAYBY","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"ZKH6JUL3","created_at":"2026-07-05T06:10:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZKH6JUL3ZWKLAYBYYWKY6MQ3KX","target":"record","payload":{"canonical_record":{"source":{"id":"2305.09400","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-16T12:31:53Z","cross_cats_sorted":[],"title_canon_sha256":"b9c3793b9a94ac36dcf8c3d5c7df05146bfaa8a121ea78a8420b58977097c602","abstract_canon_sha256":"e6a4d828304149c39af9eba02f8dd1237153e1eb0aa40422d25d91d7b296c91f"},"schema_version":"1.0"},"canonical_sha256":"ca8fe4d17bcd94b06038c5958f321b55ddae9e0a9d14307e4b1862fc30bd328c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:10:47.529306Z","signature_b64":"DyvQJXNuvsi2sMldLOqRgCUc+nQLthWEdomdiWM7n13CC5RtyLKsIu1viqOSSQpFLyA4QkdmDR0QrPG+LQ+4Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca8fe4d17bcd94b06038c5958f321b55ddae9e0a9d14307e4b1862fc30bd328c","last_reissued_at":"2026-07-05T06:10:47.528875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:10:47.528875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.09400","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":"2026-07-05T06:10:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z3uXU+BF2CnR3ORE8MgxY4+KZRzNSFqlTii0VsB05N+JXh8wjQgzdUqlkZBmaNu5dKqlv3Ifz3FquyO37i50AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:59:14.752272Z"},"content_sha256":"1ae6aa4cb65128b13d3d83037cda41ffc8cca2c6ea28dc218471c79059ced8f4","schema_version":"1.0","event_id":"sha256:1ae6aa4cb65128b13d3d83037cda41ffc8cca2c6ea28dc218471c79059ced8f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZKH6JUL3ZWKLAYBYYWKY6MQ3KX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Deyu Zhou, Jiasheng Si, Yingjie Zhu","submitted_at":"2023-05-16T12:31:53Z","abstract_excerpt":"The success of deep learning models on multi-hop fact verification has prompted researchers to understand the behavior behind their veracity. One possible way is erasure search: obtaining the rationale by entirely removing a subset of input without compromising the veracity prediction. Although extensively explored, existing approaches fall within the scope of the single-granular (tokens or sentences) explanation, which inevitably leads to explanation redundancy and inconsistency. To address such issues, this paper explores the viability of multi-granular rationale extraction with consistency "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09400","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/2305.09400/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":"2026-07-05T06:10:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2HUVgELbMBfqE4FpwgWEVWl9mnjkYBdJX6QrW7ag73MNK9XqEZeWOu6k7d/2583KxyZ6JYuR6qgcEZg+Lk5XBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T09:59:14.755315Z"},"content_sha256":"92a8ba4cddf7590321ab414664176b75d1d5f80aafc47e07e5b2e68bdb98cd16","schema_version":"1.0","event_id":"sha256:92a8ba4cddf7590321ab414664176b75d1d5f80aafc47e07e5b2e68bdb98cd16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/bundle.json","state_url":"https://pith.science/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/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":"2026-08-10T09:59:14Z","links":{"resolver":"https://pith.science/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX","bundle":"https://pith.science/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/bundle.json","state":"https://pith.science/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZKH6JUL3ZWKLAYBYYWKY6MQ3KX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZKH6JUL3ZWKLAYBYYWKY6MQ3KX","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":"e6a4d828304149c39af9eba02f8dd1237153e1eb0aa40422d25d91d7b296c91f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-16T12:31:53Z","title_canon_sha256":"b9c3793b9a94ac36dcf8c3d5c7df05146bfaa8a121ea78a8420b58977097c602"},"schema_version":"1.0","source":{"id":"2305.09400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09400","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09400v1","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09400","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"ZKH6JUL3ZWKL","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"ZKH6JUL3ZWKLAYBY","created_at":"2026-07-05T06:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"ZKH6JUL3","created_at":"2026-07-05T06:10:47Z"}],"graph_snapshots":[{"event_id":"sha256:92a8ba4cddf7590321ab414664176b75d1d5f80aafc47e07e5b2e68bdb98cd16","target":"graph","created_at":"2026-07-05T06:10:47Z","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/2305.09400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The success of deep learning models on multi-hop fact verification has prompted researchers to understand the behavior behind their veracity. One possible way is erasure search: obtaining the rationale by entirely removing a subset of input without compromising the veracity prediction. Although extensively explored, existing approaches fall within the scope of the single-granular (tokens or sentences) explanation, which inevitably leads to explanation redundancy and inconsistency. To address such issues, this paper explores the viability of multi-granular rationale extraction with consistency ","authors_text":"Deyu Zhou, Jiasheng Si, Yingjie Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-16T12:31:53Z","title":"Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09400","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":"sha256:1ae6aa4cb65128b13d3d83037cda41ffc8cca2c6ea28dc218471c79059ced8f4","target":"record","created_at":"2026-07-05T06:10:47Z","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":"e6a4d828304149c39af9eba02f8dd1237153e1eb0aa40422d25d91d7b296c91f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-16T12:31:53Z","title_canon_sha256":"b9c3793b9a94ac36dcf8c3d5c7df05146bfaa8a121ea78a8420b58977097c602"},"schema_version":"1.0","source":{"id":"2305.09400","kind":"arxiv","version":1}},"canonical_sha256":"ca8fe4d17bcd94b06038c5958f321b55ddae9e0a9d14307e4b1862fc30bd328c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca8fe4d17bcd94b06038c5958f321b55ddae9e0a9d14307e4b1862fc30bd328c","first_computed_at":"2026-07-05T06:10:47.528875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:47.528875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DyvQJXNuvsi2sMldLOqRgCUc+nQLthWEdomdiWM7n13CC5RtyLKsIu1viqOSSQpFLyA4QkdmDR0QrPG+LQ+4Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:47.529306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09400","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ae6aa4cb65128b13d3d83037cda41ffc8cca2c6ea28dc218471c79059ced8f4","sha256:92a8ba4cddf7590321ab414664176b75d1d5f80aafc47e07e5b2e68bdb98cd16"],"state_sha256":"061bdb44df344b3e349bf85ce4a216053dd56893477520aa8f06303ecc2a2c87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4LqZN/GVOFFyC8JXmjeY+PprtPsIcsIL1l4vANk9Qk5nMB6f32XJO0dx6h9ViixBWC4JkswJ5ruNfa3IiSkTBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T09:59:14.765595Z","bundle_sha256":"5696c757f97bba45c707cd340f96386df4c6d3ba3a8d26f0d8d66a7ed5187788"}}