{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:HNM5SIWH4VZSHS2563G4GHLGLF","short_pith_number":"pith:HNM5SIWH","canonical_record":{"source":{"id":"2204.10893","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-22T18:59:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"932d86c28ce660f6b24a9d39c5bca29c080107928052f70745c5f3d1788dae36","abstract_canon_sha256":"020a8a02893bf62edf9e5a09e803f33d99ad551365d5b2cf534df90b23d2c900"},"schema_version":"1.0"},"canonical_sha256":"3b59d922c7e57323cb5df6cdc31d66595ccb68bbfc9e4c83aa183c9ca3018fd3","source":{"kind":"arxiv","id":"2204.10893","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.10893","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"arxiv_version","alias_value":"2204.10893v2","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.10893","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_12","alias_value":"HNM5SIWH4VZS","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_16","alias_value":"HNM5SIWH4VZSHS25","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_8","alias_value":"HNM5SIWH","created_at":"2026-07-05T04:17:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:HNM5SIWH4VZSHS2563G4GHLGLF","target":"record","payload":{"canonical_record":{"source":{"id":"2204.10893","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-22T18:59:27Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"932d86c28ce660f6b24a9d39c5bca29c080107928052f70745c5f3d1788dae36","abstract_canon_sha256":"020a8a02893bf62edf9e5a09e803f33d99ad551365d5b2cf534df90b23d2c900"},"schema_version":"1.0"},"canonical_sha256":"3b59d922c7e57323cb5df6cdc31d66595ccb68bbfc9e4c83aa183c9ca3018fd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:17:40.950914Z","signature_b64":"phz3S8rmy++8MFmZXM93v9QN0OXz+oHlt9zb7ieQMh51IIfHxCRcBkKOJjvMn5h8P9A24IepDiFmSgJrt12jCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b59d922c7e57323cb5df6cdc31d66595ccb68bbfc9e4c83aa183c9ca3018fd3","last_reissued_at":"2026-07-05T04:17:40.950411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:17:40.950411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.10893","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":"2026-07-05T04:17:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RdbpsOGvXPiCmo1F2JIMHbtfEmHpl/jdVCZNYE2lcoHXQJDLhB00Fg9b4/hdfd+Ogd8qd0fXsgu7bFeo/RT9CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T16:24:30.624982Z"},"content_sha256":"f1019939ef3baa2f6d61ef5ae337d93bbacdd34d2dcc2b7c817b95756f8b5604","schema_version":"1.0","event_id":"sha256:f1019939ef3baa2f6d61ef5ae337d93bbacdd34d2dcc2b7c817b95756f8b5604"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:HNM5SIWH4VZSHS2563G4GHLGLF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Locally Aggregated Feature Attribution on Natural Language Model Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Haitao Jiang, Jin Wang, Rui Song, Sheng Zhang","submitted_at":"2022-04-22T18:59:27Z","abstract_excerpt":"With the growing popularity of deep-learning models, model understanding becomes more important. Much effort has been devoted to demystify deep neural networks for better interpretability. Some feature attribution methods have shown promising results in computer vision, especially the gradient-based methods where effectively smoothing the gradients with reference data is key to a robust and faithful result. However, direct application of these gradient-based methods to NLP tasks is not trivial due to the fact that the input consists of discrete tokens and the \"reference\" tokens are not explici"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.10893","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/2204.10893/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":"2026-07-05T04:17:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bZx2DDlaTqyXzqNgfwPsay08PFRk81e8mdt9RkuKybhjuqaNbEMfxPXoJJ09MwY4wOVZOouW/VsGmzK0Mee+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T16:24:30.625371Z"},"content_sha256":"24a06dda09c8f442b219e588f395042886a02773ea478d6f3b625ec8769ccd00","schema_version":"1.0","event_id":"sha256:24a06dda09c8f442b219e588f395042886a02773ea478d6f3b625ec8769ccd00"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HNM5SIWH4VZSHS2563G4GHLGLF/bundle.json","state_url":"https://pith.science/pith/HNM5SIWH4VZSHS2563G4GHLGLF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HNM5SIWH4VZSHS2563G4GHLGLF/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":"2026-07-24T16:24:30Z","links":{"resolver":"https://pith.science/pith/HNM5SIWH4VZSHS2563G4GHLGLF","bundle":"https://pith.science/pith/HNM5SIWH4VZSHS2563G4GHLGLF/bundle.json","state":"https://pith.science/pith/HNM5SIWH4VZSHS2563G4GHLGLF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HNM5SIWH4VZSHS2563G4GHLGLF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HNM5SIWH4VZSHS2563G4GHLGLF","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":"020a8a02893bf62edf9e5a09e803f33d99ad551365d5b2cf534df90b23d2c900","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-22T18:59:27Z","title_canon_sha256":"932d86c28ce660f6b24a9d39c5bca29c080107928052f70745c5f3d1788dae36"},"schema_version":"1.0","source":{"id":"2204.10893","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.10893","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"arxiv_version","alias_value":"2204.10893v2","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.10893","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_12","alias_value":"HNM5SIWH4VZS","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_16","alias_value":"HNM5SIWH4VZSHS25","created_at":"2026-07-05T04:17:40Z"},{"alias_kind":"pith_short_8","alias_value":"HNM5SIWH","created_at":"2026-07-05T04:17:40Z"}],"graph_snapshots":[{"event_id":"sha256:24a06dda09c8f442b219e588f395042886a02773ea478d6f3b625ec8769ccd00","target":"graph","created_at":"2026-07-05T04:17:40Z","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/2204.10893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the growing popularity of deep-learning models, model understanding becomes more important. Much effort has been devoted to demystify deep neural networks for better interpretability. Some feature attribution methods have shown promising results in computer vision, especially the gradient-based methods where effectively smoothing the gradients with reference data is key to a robust and faithful result. However, direct application of these gradient-based methods to NLP tasks is not trivial due to the fact that the input consists of discrete tokens and the \"reference\" tokens are not explici","authors_text":"Haitao Jiang, Jin Wang, Rui Song, Sheng Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-22T18:59:27Z","title":"Locally Aggregated Feature Attribution on Natural Language Model Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.10893","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:f1019939ef3baa2f6d61ef5ae337d93bbacdd34d2dcc2b7c817b95756f8b5604","target":"record","created_at":"2026-07-05T04:17:40Z","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":"020a8a02893bf62edf9e5a09e803f33d99ad551365d5b2cf534df90b23d2c900","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-04-22T18:59:27Z","title_canon_sha256":"932d86c28ce660f6b24a9d39c5bca29c080107928052f70745c5f3d1788dae36"},"schema_version":"1.0","source":{"id":"2204.10893","kind":"arxiv","version":2}},"canonical_sha256":"3b59d922c7e57323cb5df6cdc31d66595ccb68bbfc9e4c83aa183c9ca3018fd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b59d922c7e57323cb5df6cdc31d66595ccb68bbfc9e4c83aa183c9ca3018fd3","first_computed_at":"2026-07-05T04:17:40.950411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:40.950411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"phz3S8rmy++8MFmZXM93v9QN0OXz+oHlt9zb7ieQMh51IIfHxCRcBkKOJjvMn5h8P9A24IepDiFmSgJrt12jCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:40.950914Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.10893","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1019939ef3baa2f6d61ef5ae337d93bbacdd34d2dcc2b7c817b95756f8b5604","sha256:24a06dda09c8f442b219e588f395042886a02773ea478d6f3b625ec8769ccd00"],"state_sha256":"0193780ac7823f900883c727a5918b6d8a62c1395d73e426f757763a4a61d813"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C4Q5sYGygN998B0I0ki+oE0EWivf/ld3PXUXtdeQe+i0THKSmwbYXcSJggS5Nt4QCFLAuXnlnj80yWSU1lJgCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T16:24:30.627880Z","bundle_sha256":"b4ba6807d06baffae55c55778b5f2d841a5addcd955d377b276eac036c9c8f86"}}