{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:AEJQUTBN7PSOQS5BZA2OXEK6IL","short_pith_number":"pith:AEJQUTBN","canonical_record":{"source":{"id":"2106.09788","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-17T20:00:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6dcc894bacd141d0bb25f0c6b0a3a4598dd34287d01faf473523368f24973069","abstract_canon_sha256":"05f6769b1ba1cd071b27bc619911a102e903ce147b7119e07ad044a18be7f05d"},"schema_version":"1.0"},"canonical_sha256":"01130a4c2dfbe4e84ba1c834eb915e42c09b7a12411027f26b3139f6926c3d03","source":{"kind":"arxiv","id":"2106.09788","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.09788","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2106.09788v1","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.09788","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"AEJQUTBN7PSO","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"AEJQUTBN7PSOQS5B","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"AEJQUTBN","created_at":"2026-07-05T02:50:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:AEJQUTBN7PSOQS5BZA2OXEK6IL","target":"record","payload":{"canonical_record":{"source":{"id":"2106.09788","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-17T20:00:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6dcc894bacd141d0bb25f0c6b0a3a4598dd34287d01faf473523368f24973069","abstract_canon_sha256":"05f6769b1ba1cd071b27bc619911a102e903ce147b7119e07ad044a18be7f05d"},"schema_version":"1.0"},"canonical_sha256":"01130a4c2dfbe4e84ba1c834eb915e42c09b7a12411027f26b3139f6926c3d03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:20.768195Z","signature_b64":"kZItimRhNSVXpWf9jgdOU67jFfN3gvArFa2XaDc1pYCaozRR8myQOlfsvBjc+vW7iNXcbThwf1+Cj2WPWhvQAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01130a4c2dfbe4e84ba1c834eb915e42c09b7a12411027f26b3139f6926c3d03","last_reissued_at":"2026-07-05T02:50:20.767707Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:20.767707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.09788","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":"2026-07-05T02:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4hfpzLLb9u/8dbyYpAASYRgqvEckaXCcseBzKZaVnyHMjSONGfPYV/Pcja5cCXCU4/OpgOntjAqrFwEpYl5wCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:55:22.764469Z"},"content_sha256":"b9ead1c8b3601e8fc6d921bd69c646915add799f7cadcceecee5a563da207f80","schema_version":"1.0","event_id":"sha256:b9ead1c8b3601e8fc6d921bd69c646915add799f7cadcceecee5a563da207f80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:AEJQUTBN7PSOQS5BZA2OXEK6IL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Guided Integrated Gradients: An Adaptive Path Method for Removing Noise","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Andrei Kapishnikov, Ben Wedin, Besim Avci, Michael Terry, Subhashini Venugopalan, Tolga Bolukbasi","submitted_at":"2021-06-17T20:00:55Z","abstract_excerpt":"Integrated Gradients (IG) is a commonly used feature attribution method for deep neural networks. While IG has many desirable properties, the method often produces spurious/noisy pixel attributions in regions that are not related to the predicted class when applied to visual models. While this has been previously noted, most existing solutions are aimed at addressing the symptoms by explicitly reducing the noise in the resulting attributions. In this work, we show that one of the causes of the problem is the accumulation of noise along the IG path. To minimize the effect of this source of nois"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.09788","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/2106.09788/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":"2026-07-05T02:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cfPhi5alaaGROgXfPyd46TQ+/jBUmNst5uu2P/4kE7UrbgFWgTu35JEP4GdWn5IdchFzjY1dSUZPCoFnyjREAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:55:22.765004Z"},"content_sha256":"2a2bc7fb13815341bd9b2b4d78eb4506de2d58d9f9da0753497417380ecb00d1","schema_version":"1.0","event_id":"sha256:2a2bc7fb13815341bd9b2b4d78eb4506de2d58d9f9da0753497417380ecb00d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/bundle.json","state_url":"https://pith.science/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/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":"2026-08-04T15:55:22Z","links":{"resolver":"https://pith.science/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL","bundle":"https://pith.science/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/bundle.json","state":"https://pith.science/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AEJQUTBN7PSOQS5BZA2OXEK6IL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:AEJQUTBN7PSOQS5BZA2OXEK6IL","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":"05f6769b1ba1cd071b27bc619911a102e903ce147b7119e07ad044a18be7f05d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-17T20:00:55Z","title_canon_sha256":"6dcc894bacd141d0bb25f0c6b0a3a4598dd34287d01faf473523368f24973069"},"schema_version":"1.0","source":{"id":"2106.09788","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.09788","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2106.09788v1","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.09788","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"AEJQUTBN7PSO","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"AEJQUTBN7PSOQS5B","created_at":"2026-07-05T02:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"AEJQUTBN","created_at":"2026-07-05T02:50:20Z"}],"graph_snapshots":[{"event_id":"sha256:2a2bc7fb13815341bd9b2b4d78eb4506de2d58d9f9da0753497417380ecb00d1","target":"graph","created_at":"2026-07-05T02:50:20Z","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/2106.09788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrated Gradients (IG) is a commonly used feature attribution method for deep neural networks. While IG has many desirable properties, the method often produces spurious/noisy pixel attributions in regions that are not related to the predicted class when applied to visual models. While this has been previously noted, most existing solutions are aimed at addressing the symptoms by explicitly reducing the noise in the resulting attributions. In this work, we show that one of the causes of the problem is the accumulation of noise along the IG path. To minimize the effect of this source of nois","authors_text":"Andrei Kapishnikov, Ben Wedin, Besim Avci, Michael Terry, Subhashini Venugopalan, Tolga Bolukbasi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-17T20:00:55Z","title":"Guided Integrated Gradients: An Adaptive Path Method for Removing Noise"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.09788","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:b9ead1c8b3601e8fc6d921bd69c646915add799f7cadcceecee5a563da207f80","target":"record","created_at":"2026-07-05T02:50:20Z","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":"05f6769b1ba1cd071b27bc619911a102e903ce147b7119e07ad044a18be7f05d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-17T20:00:55Z","title_canon_sha256":"6dcc894bacd141d0bb25f0c6b0a3a4598dd34287d01faf473523368f24973069"},"schema_version":"1.0","source":{"id":"2106.09788","kind":"arxiv","version":1}},"canonical_sha256":"01130a4c2dfbe4e84ba1c834eb915e42c09b7a12411027f26b3139f6926c3d03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01130a4c2dfbe4e84ba1c834eb915e42c09b7a12411027f26b3139f6926c3d03","first_computed_at":"2026-07-05T02:50:20.767707Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:20.767707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kZItimRhNSVXpWf9jgdOU67jFfN3gvArFa2XaDc1pYCaozRR8myQOlfsvBjc+vW7iNXcbThwf1+Cj2WPWhvQAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:20.768195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.09788","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9ead1c8b3601e8fc6d921bd69c646915add799f7cadcceecee5a563da207f80","sha256:2a2bc7fb13815341bd9b2b4d78eb4506de2d58d9f9da0753497417380ecb00d1"],"state_sha256":"30cdf1ed9aab5ec092b45e8c23f988f3d188ec5b625a971057a304895b2d67e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LP/GyrABmy4T55hW4mwcA0mPHa+HSKehcgmWcA7rH+l9Xdgl1ZI90il8EBcTXEdyinLgaUWPaDhGwzIhLZeyAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T15:55:22.772217Z","bundle_sha256":"84144f2f6b8affd9e86ee3253787665fdede23fb0174159615d1b88f8c2dea47"}}