{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7XA4ZKMVEUKFKKV76RN5V7IHUM","short_pith_number":"pith:7XA4ZKMV","canonical_record":{"source":{"id":"2606.10877","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T13:52:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e8b7ef86b1762df40297d0a5cffc885320ba1646dc033b928f2e16589a62e18d","abstract_canon_sha256":"f9cecd8d435c329d0f37af7146ba04ba5b3726bbf32bfabd028b264f1781202c"},"schema_version":"1.0"},"canonical_sha256":"fdc1cca9952514552abff45bdafd07a323207a6eebf2ae86d3873ae4abefeabb","source":{"kind":"arxiv","id":"2606.10877","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10877","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10877v1","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10877","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"7XA4ZKMVEUKF","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_16","alias_value":"7XA4ZKMVEUKFKKV7","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_8","alias_value":"7XA4ZKMV","created_at":"2026-06-10T01:10:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7XA4ZKMVEUKFKKV76RN5V7IHUM","target":"record","payload":{"canonical_record":{"source":{"id":"2606.10877","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T13:52:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e8b7ef86b1762df40297d0a5cffc885320ba1646dc033b928f2e16589a62e18d","abstract_canon_sha256":"f9cecd8d435c329d0f37af7146ba04ba5b3726bbf32bfabd028b264f1781202c"},"schema_version":"1.0"},"canonical_sha256":"fdc1cca9952514552abff45bdafd07a323207a6eebf2ae86d3873ae4abefeabb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:10:45.266866Z","signature_b64":"owj7qDS3nlQYGXkssuwtaY9kQSUwSFZXbBZM2415ugYckRBrtCgtqVRqTigIQv0jxXJd+mDzMNMmlD+psNZWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdc1cca9952514552abff45bdafd07a323207a6eebf2ae86d3873ae4abefeabb","last_reissued_at":"2026-06-10T01:10:45.266384Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:10:45.266384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.10877","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":"2026-06-10T01:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e+CQ0Jykrg15Fv1RNaYSVjffdz9IBIg+vSCs4fk45NO1DY9aLzGfS7YdkfYzRPcaT17rmxR6vAL/2S34EFOLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T21:13:09.923063Z"},"content_sha256":"d040c393e01c89c09d44efea69df7ee5365d355b22d44f102db74d14648b4aca","schema_version":"1.0","event_id":"sha256:d040c393e01c89c09d44efea69df7ee5365d355b22d44f102db74d14648b4aca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7XA4ZKMVEUKFKKV76RN5V7IHUM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"XtrAIn: Training-Guided Occlusion for Feature Attribution","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Denia Kanellopoulou, Ioannis Kakogeorgiou, Thodoris Lymperopoulos","submitted_at":"2026-06-09T13:52:05Z","abstract_excerpt":"Occlusion-based attribution methods provide an intuitive way to estimate feature importance by perturbing input features and measuring the resulting change in model output. However, their reliability is strongly affected by how feature removal is implemented: externally selected baselines can introduce bias, out-of-distribution samples, and unstable explanations, while in nonlinear models the occlusion of a set of features can also alter the contribution of non-occluded features. We refer to this effect as attribution shift, as the attribution scores of the non-occluded features drift from the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10877","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/2606.10877/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":"2026-06-10T01:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MHoluqmBnoiQhJBGRvBOjBqRUnJSsmLR767AD1F32y2SD28oxVFbiFItNA0O7b9mZhbLJvOeNe5OCl8MlWXXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T21:13:09.923792Z"},"content_sha256":"df3d6851b6709fb1fd594202e70bf62cc9629727d2234299b0f6ff69e1d318db","schema_version":"1.0","event_id":"sha256:df3d6851b6709fb1fd594202e70bf62cc9629727d2234299b0f6ff69e1d318db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/bundle.json","state_url":"https://pith.science/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/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":"2026-06-24T21:13:09Z","links":{"resolver":"https://pith.science/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM","bundle":"https://pith.science/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/bundle.json","state":"https://pith.science/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7XA4ZKMVEUKFKKV76RN5V7IHUM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7XA4ZKMVEUKFKKV76RN5V7IHUM","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":"f9cecd8d435c329d0f37af7146ba04ba5b3726bbf32bfabd028b264f1781202c","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T13:52:05Z","title_canon_sha256":"e8b7ef86b1762df40297d0a5cffc885320ba1646dc033b928f2e16589a62e18d"},"schema_version":"1.0","source":{"id":"2606.10877","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10877","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10877v1","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10877","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"7XA4ZKMVEUKF","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_16","alias_value":"7XA4ZKMVEUKFKKV7","created_at":"2026-06-10T01:10:45Z"},{"alias_kind":"pith_short_8","alias_value":"7XA4ZKMV","created_at":"2026-06-10T01:10:45Z"}],"graph_snapshots":[{"event_id":"sha256:df3d6851b6709fb1fd594202e70bf62cc9629727d2234299b0f6ff69e1d318db","target":"graph","created_at":"2026-06-10T01:10:45Z","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/2606.10877/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Occlusion-based attribution methods provide an intuitive way to estimate feature importance by perturbing input features and measuring the resulting change in model output. However, their reliability is strongly affected by how feature removal is implemented: externally selected baselines can introduce bias, out-of-distribution samples, and unstable explanations, while in nonlinear models the occlusion of a set of features can also alter the contribution of non-occluded features. We refer to this effect as attribution shift, as the attribution scores of the non-occluded features drift from the","authors_text":"Denia Kanellopoulou, Ioannis Kakogeorgiou, Thodoris Lymperopoulos","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T13:52:05Z","title":"XtrAIn: Training-Guided Occlusion for Feature Attribution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10877","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:d040c393e01c89c09d44efea69df7ee5365d355b22d44f102db74d14648b4aca","target":"record","created_at":"2026-06-10T01:10:45Z","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":"f9cecd8d435c329d0f37af7146ba04ba5b3726bbf32bfabd028b264f1781202c","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-09T13:52:05Z","title_canon_sha256":"e8b7ef86b1762df40297d0a5cffc885320ba1646dc033b928f2e16589a62e18d"},"schema_version":"1.0","source":{"id":"2606.10877","kind":"arxiv","version":1}},"canonical_sha256":"fdc1cca9952514552abff45bdafd07a323207a6eebf2ae86d3873ae4abefeabb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdc1cca9952514552abff45bdafd07a323207a6eebf2ae86d3873ae4abefeabb","first_computed_at":"2026-06-10T01:10:45.266384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:45.266384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"owj7qDS3nlQYGXkssuwtaY9kQSUwSFZXbBZM2415ugYckRBrtCgtqVRqTigIQv0jxXJd+mDzMNMmlD+psNZWDA==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:45.266866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10877","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d040c393e01c89c09d44efea69df7ee5365d355b22d44f102db74d14648b4aca","sha256:df3d6851b6709fb1fd594202e70bf62cc9629727d2234299b0f6ff69e1d318db"],"state_sha256":"c3f94273ba983741f2604d3823258cdf862303cb2cc82b1a6add5b9038d18560"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rMLZ2rsuozL27hj3mXsCo51pFFUDPmiA7SKSUpVH0tOYJCKUVK0MX61ttRq3tspPhjwAC/pfggabW4qwlapqCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T21:13:09.927073Z","bundle_sha256":"20ee582d5135fad691c1ca3bd7e410d8e6fa664ba4a41290f514e6dc02f10180"}}