{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:FJ7XAVGGMOHISOWMINZUJE4G2J","short_pith_number":"pith:FJ7XAVGG","canonical_record":{"source":{"id":"1910.00199","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-01T04:29:18Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"449cfcef1f153b6654cde0bb5e4b153d2e11cbb142da5073bd682cfb6f523358","abstract_canon_sha256":"6d893afdd168d7c34c0431580d45cd3b7f9881029fc1096a2bf18d3a04c2ae4b"},"schema_version":"1.0"},"canonical_sha256":"2a7f7054c6638e893acc4373449386d251a4fcb704198f50d686345957f4d1e5","source":{"kind":"arxiv","id":"1910.00199","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.00199","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"1910.00199v3","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.00199","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"FJ7XAVGGMOHI","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"FJ7XAVGGMOHISOWM","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"FJ7XAVGG","created_at":"2026-07-05T02:14:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:FJ7XAVGGMOHISOWMINZUJE4G2J","target":"record","payload":{"canonical_record":{"source":{"id":"1910.00199","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-01T04:29:18Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"449cfcef1f153b6654cde0bb5e4b153d2e11cbb142da5073bd682cfb6f523358","abstract_canon_sha256":"6d893afdd168d7c34c0431580d45cd3b7f9881029fc1096a2bf18d3a04c2ae4b"},"schema_version":"1.0"},"canonical_sha256":"2a7f7054c6638e893acc4373449386d251a4fcb704198f50d686345957f4d1e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:14:08.540970Z","signature_b64":"nUm8eqfoao5YcO7pClLBmJbMPoDoYd9IztcXlyFLk0zQw+jpMhCZWeekUcwbueCusoJn+VAJXZbRjx8Vwv7FCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a7f7054c6638e893acc4373449386d251a4fcb704198f50d686345957f4d1e5","last_reissued_at":"2026-07-05T02:14:08.540503Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:14:08.540503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.00199","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:14:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fpOo9dvJFKEOMIByXnDK8o8/E58xOOy6EmhSQp+jPNcUw3Wah9/R2mG/t2V+9H9pbkyPqM550xUR0tOFucf4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:58:06.974146Z"},"content_sha256":"6b6f26002dd3267b9181cbd7132d04debdf5f8e2cee082eefcf801bb5e96e819","schema_version":"1.0","event_id":"sha256:6b6f26002dd3267b9181cbd7132d04debdf5f8e2cee082eefcf801bb5e96e819"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:FJ7XAVGGMOHISOWMINZUJE4G2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Saliency is a Possible Red Herring When Diagnosing Poor Generalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Becks Simpson, Francis Dutil, Joseph D. Viviano, Joseph Paul Cohen, Yoshua Bengio","submitted_at":"2019-10-01T04:29:18Z","abstract_excerpt":"Poor generalization is one symptom of models that learn to predict target variables using spuriously-correlated image features present only in the training distribution instead of the true image features that denote a class. It is often thought that this can be diagnosed visually using attribution (aka saliency) maps. We study if this assumption is correct. In some prediction tasks, such as for medical images, one may have some images with masks drawn by a human expert, indicating a region of the image containing relevant information to make the prediction. We study multiple methods that take "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.00199","kind":"arxiv","version":3},"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/1910.00199/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":"2026-07-05T02:14:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RipE2vnX6lxREtPdgPDBcgoJmeWeqOqbDoY7fsr9mJ+Rw7xcr73hETPuNeX9XwtYL5057sy4ZigwCzWB7iNCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:58:06.975017Z"},"content_sha256":"481bafc1360f6094c66611da1b47229fc74765711dd82d4a47a0303b840ee1f8","schema_version":"1.0","event_id":"sha256:481bafc1360f6094c66611da1b47229fc74765711dd82d4a47a0303b840ee1f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/bundle.json","state_url":"https://pith.science/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/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":"2026-08-08T20:58:06Z","links":{"resolver":"https://pith.science/pith/FJ7XAVGGMOHISOWMINZUJE4G2J","bundle":"https://pith.science/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/bundle.json","state":"https://pith.science/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJ7XAVGGMOHISOWMINZUJE4G2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:FJ7XAVGGMOHISOWMINZUJE4G2J","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":"6d893afdd168d7c34c0431580d45cd3b7f9881029fc1096a2bf18d3a04c2ae4b","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-01T04:29:18Z","title_canon_sha256":"449cfcef1f153b6654cde0bb5e4b153d2e11cbb142da5073bd682cfb6f523358"},"schema_version":"1.0","source":{"id":"1910.00199","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.00199","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"1910.00199v3","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.00199","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"FJ7XAVGGMOHI","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"FJ7XAVGGMOHISOWM","created_at":"2026-07-05T02:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"FJ7XAVGG","created_at":"2026-07-05T02:14:08Z"}],"graph_snapshots":[{"event_id":"sha256:481bafc1360f6094c66611da1b47229fc74765711dd82d4a47a0303b840ee1f8","target":"graph","created_at":"2026-07-05T02:14:08Z","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/1910.00199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Poor generalization is one symptom of models that learn to predict target variables using spuriously-correlated image features present only in the training distribution instead of the true image features that denote a class. It is often thought that this can be diagnosed visually using attribution (aka saliency) maps. We study if this assumption is correct. In some prediction tasks, such as for medical images, one may have some images with masks drawn by a human expert, indicating a region of the image containing relevant information to make the prediction. We study multiple methods that take ","authors_text":"Becks Simpson, Francis Dutil, Joseph D. Viviano, Joseph Paul Cohen, Yoshua Bengio","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-01T04:29:18Z","title":"Saliency is a Possible Red Herring When Diagnosing Poor Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.00199","kind":"arxiv","version":3},"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":"sha256:6b6f26002dd3267b9181cbd7132d04debdf5f8e2cee082eefcf801bb5e96e819","target":"record","created_at":"2026-07-05T02:14:08Z","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":"6d893afdd168d7c34c0431580d45cd3b7f9881029fc1096a2bf18d3a04c2ae4b","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-01T04:29:18Z","title_canon_sha256":"449cfcef1f153b6654cde0bb5e4b153d2e11cbb142da5073bd682cfb6f523358"},"schema_version":"1.0","source":{"id":"1910.00199","kind":"arxiv","version":3}},"canonical_sha256":"2a7f7054c6638e893acc4373449386d251a4fcb704198f50d686345957f4d1e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a7f7054c6638e893acc4373449386d251a4fcb704198f50d686345957f4d1e5","first_computed_at":"2026-07-05T02:14:08.540503Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:14:08.540503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nUm8eqfoao5YcO7pClLBmJbMPoDoYd9IztcXlyFLk0zQw+jpMhCZWeekUcwbueCusoJn+VAJXZbRjx8Vwv7FCA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:14:08.540970Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.00199","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b6f26002dd3267b9181cbd7132d04debdf5f8e2cee082eefcf801bb5e96e819","sha256:481bafc1360f6094c66611da1b47229fc74765711dd82d4a47a0303b840ee1f8"],"state_sha256":"147d3a2856995dec0504105f3d4bac9f95c2682f10c40db0feeaa9b1c459b1ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8KBET4Wjf2kG2X/jNY7nKptCzn+rCUo1xOzou/HS2yKsubulIHqBa4qfHFSSQZkeTXjkG9jtuYtVTxFF7sntDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:58:06.980390Z","bundle_sha256":"4fff4c52a2530d5ab734358db1027ce4a2f571dae77adb4d5710f5e44fc757af"}}