{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:CDBEXE7W57A22T6KF7Q5L4KIYW","short_pith_number":"pith:CDBEXE7W","canonical_record":{"source":{"id":"2107.14000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-07-27T08:29:46Z","cross_cats_sorted":[],"title_canon_sha256":"648c4239dc31973939787b5337f93f5ace1316239141e9a99482a12a2a57e908","abstract_canon_sha256":"042d18061332ea228b5f287325b0a0495a77ff2ee835dc75be0ef3f4602385f4"},"schema_version":"1.0"},"canonical_sha256":"10c24b93f6efc1ad4fca2fe1d5f148c5a79c74df54f7977cf5f39ce3b116d3d4","source":{"kind":"arxiv","id":"2107.14000","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.14000","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2107.14000v1","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.14000","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"CDBEXE7W57A2","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"CDBEXE7W57A22T6K","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"CDBEXE7W","created_at":"2026-07-05T03:01:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:CDBEXE7W57A22T6KF7Q5L4KIYW","target":"record","payload":{"canonical_record":{"source":{"id":"2107.14000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-07-27T08:29:46Z","cross_cats_sorted":[],"title_canon_sha256":"648c4239dc31973939787b5337f93f5ace1316239141e9a99482a12a2a57e908","abstract_canon_sha256":"042d18061332ea228b5f287325b0a0495a77ff2ee835dc75be0ef3f4602385f4"},"schema_version":"1.0"},"canonical_sha256":"10c24b93f6efc1ad4fca2fe1d5f148c5a79c74df54f7977cf5f39ce3b116d3d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:01:42.962816Z","signature_b64":"cvlJmybaRZxbiqo/my4UsJ6QqA41UolQeXOhnfIeVRr83gSmEnbhngNlL+LHjykC7G1j+TWQWzxrwzzoniWpCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10c24b93f6efc1ad4fca2fe1d5f148c5a79c74df54f7977cf5f39ce3b116d3d4","last_reissued_at":"2026-07-05T03:01:42.962337Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:01:42.962337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.14000","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":"2026-07-05T03:01:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aZHs7IMcfTQ6gAygCqBWNA+nyiyTtqZ+jynDAvnbEiCZ0Hwzv9C8fV4pL3P+HsK/pX5ddr4ojxpQHgoTve+EBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:51:13.280355Z"},"content_sha256":"ab13210bb0c8b3cb9e94b5f445fb48d1ce62a557dfa9cbdf208a4a981d601c9d","schema_version":"1.0","event_id":"sha256:ab13210bb0c8b3cb9e94b5f445fb48d1ce62a557dfa9cbdf208a4a981d601c9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:CDBEXE7W57A22T6KF7Q5L4KIYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Resisting Out-of-Distribution Data Problem in Perturbation of XAI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Caleb Chen Cao, Hilary Hei Ting Ngai, Janet Hsiao, Jing Liu, Lei Chen, Luyu Qiu, Yi Yang, Yueyuan Zheng","submitted_at":"2021-07-27T08:29:46Z","abstract_excerpt":"With the rapid development of eXplainable Artificial Intelligence (XAI), perturbation-based XAI algorithms have become quite popular due to their effectiveness and ease of implementation. The vast majority of perturbation-based XAI techniques face the challenge of Out-of-Distribution (OoD) data -- an artifact of randomly perturbed data becoming inconsistent with the original dataset. OoD data leads to the over-confidence problem in model predictions, making the existing XAI approaches unreliable. To our best knowledge, the OoD data problem in perturbation-based XAI algorithms has not been adeq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.14000","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/2107.14000/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":"2026-07-05T03:01:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2U5aaQtopV+4O+5EyrIfaXs2ZBV8/wx4cBavMPiGq3XNGNsPxTK10y3c9051E0whTgr3w8cCHl8MFAxO882pCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:51:13.280897Z"},"content_sha256":"4cc08b1ec9054d10cb24570cd92fccf4d3bb5795745c0479f0e147b07c1f8e79","schema_version":"1.0","event_id":"sha256:4cc08b1ec9054d10cb24570cd92fccf4d3bb5795745c0479f0e147b07c1f8e79"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/bundle.json","state_url":"https://pith.science/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/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":"2026-08-06T20:51:13Z","links":{"resolver":"https://pith.science/pith/CDBEXE7W57A22T6KF7Q5L4KIYW","bundle":"https://pith.science/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/bundle.json","state":"https://pith.science/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CDBEXE7W57A22T6KF7Q5L4KIYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CDBEXE7W57A22T6KF7Q5L4KIYW","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":"042d18061332ea228b5f287325b0a0495a77ff2ee835dc75be0ef3f4602385f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-07-27T08:29:46Z","title_canon_sha256":"648c4239dc31973939787b5337f93f5ace1316239141e9a99482a12a2a57e908"},"schema_version":"1.0","source":{"id":"2107.14000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.14000","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"arxiv_version","alias_value":"2107.14000v1","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.14000","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_12","alias_value":"CDBEXE7W57A2","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_16","alias_value":"CDBEXE7W57A22T6K","created_at":"2026-07-05T03:01:42Z"},{"alias_kind":"pith_short_8","alias_value":"CDBEXE7W","created_at":"2026-07-05T03:01:42Z"}],"graph_snapshots":[{"event_id":"sha256:4cc08b1ec9054d10cb24570cd92fccf4d3bb5795745c0479f0e147b07c1f8e79","target":"graph","created_at":"2026-07-05T03:01:42Z","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/2107.14000/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid development of eXplainable Artificial Intelligence (XAI), perturbation-based XAI algorithms have become quite popular due to their effectiveness and ease of implementation. The vast majority of perturbation-based XAI techniques face the challenge of Out-of-Distribution (OoD) data -- an artifact of randomly perturbed data becoming inconsistent with the original dataset. OoD data leads to the over-confidence problem in model predictions, making the existing XAI approaches unreliable. To our best knowledge, the OoD data problem in perturbation-based XAI algorithms has not been adeq","authors_text":"Caleb Chen Cao, Hilary Hei Ting Ngai, Janet Hsiao, Jing Liu, Lei Chen, Luyu Qiu, Yi Yang, Yueyuan Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-07-27T08:29:46Z","title":"Resisting Out-of-Distribution Data Problem in Perturbation of XAI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.14000","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:ab13210bb0c8b3cb9e94b5f445fb48d1ce62a557dfa9cbdf208a4a981d601c9d","target":"record","created_at":"2026-07-05T03:01:42Z","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":"042d18061332ea228b5f287325b0a0495a77ff2ee835dc75be0ef3f4602385f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-07-27T08:29:46Z","title_canon_sha256":"648c4239dc31973939787b5337f93f5ace1316239141e9a99482a12a2a57e908"},"schema_version":"1.0","source":{"id":"2107.14000","kind":"arxiv","version":1}},"canonical_sha256":"10c24b93f6efc1ad4fca2fe1d5f148c5a79c74df54f7977cf5f39ce3b116d3d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10c24b93f6efc1ad4fca2fe1d5f148c5a79c74df54f7977cf5f39ce3b116d3d4","first_computed_at":"2026-07-05T03:01:42.962337Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:42.962337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cvlJmybaRZxbiqo/my4UsJ6QqA41UolQeXOhnfIeVRr83gSmEnbhngNlL+LHjykC7G1j+TWQWzxrwzzoniWpCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:42.962816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.14000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab13210bb0c8b3cb9e94b5f445fb48d1ce62a557dfa9cbdf208a4a981d601c9d","sha256:4cc08b1ec9054d10cb24570cd92fccf4d3bb5795745c0479f0e147b07c1f8e79"],"state_sha256":"47df0dd1ef53a866bfea3d9da39366d0d9419d59eb2d2979278c2657ee938803"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q4+ctV/mZpDW2PzSTgpwVIsGwk15XagGJ/l+H3/NagvpLB0QB/t/RXDaQ5CReWHHPcchWfIcv2K3g7QolZP7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:51:13.286461Z","bundle_sha256":"bdba4256b0d95e394c67a763028ba24b76680c5f3b9f906eb55c8c0fe50d4551"}}