{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:DXPL3BZNALYKUISWEZ74E5MGTT","short_pith_number":"pith:DXPL3BZN","canonical_record":{"source":{"id":"2205.04596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-09T23:25:45Z","cross_cats_sorted":[],"title_canon_sha256":"58634200cb97a4f908219bc38f725ac9e432c0bee9baba0c30b5c62ef31cdf12","abstract_canon_sha256":"80b37b70b854fa7090a9498cd0d595689ac3fa64c998bb2e593a608719e09f4c"},"schema_version":"1.0"},"canonical_sha256":"1ddebd872d02f0aa2256267fc275869ccaca42a45e9ac7ff95a3810f3a566d06","source":{"kind":"arxiv","id":"2205.04596","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.04596","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"arxiv_version","alias_value":"2205.04596v2","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.04596","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_12","alias_value":"DXPL3BZNALYK","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_16","alias_value":"DXPL3BZNALYKUISW","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_8","alias_value":"DXPL3BZN","created_at":"2026-07-05T04:26:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:DXPL3BZNALYKUISWEZ74E5MGTT","target":"record","payload":{"canonical_record":{"source":{"id":"2205.04596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-09T23:25:45Z","cross_cats_sorted":[],"title_canon_sha256":"58634200cb97a4f908219bc38f725ac9e432c0bee9baba0c30b5c62ef31cdf12","abstract_canon_sha256":"80b37b70b854fa7090a9498cd0d595689ac3fa64c998bb2e593a608719e09f4c"},"schema_version":"1.0"},"canonical_sha256":"1ddebd872d02f0aa2256267fc275869ccaca42a45e9ac7ff95a3810f3a566d06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:26:37.583918Z","signature_b64":"oiFQd/3ES0KQJbn6BT3MEPVTF7uz73kXaOdZvQPxFzmiPLnhvWwa0MUw+knZ+DcDIu7F7O1gy7tZpGKr+s+5Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ddebd872d02f0aa2256267fc275869ccaca42a45e9ac7ff95a3810f3a566d06","last_reissued_at":"2026-07-05T04:26:37.583542Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:26:37.583542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.04596","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":"2026-07-05T04:26:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fwNqPp+fVX4Ed5UniNcy5YjpQ4OlD4LmJ/u+oocclo5xUgtMr3LI26U9eBE85dn028uDlKlmJ8Kk3H4UAM0BCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:16:25.590236Z"},"content_sha256":"677f32f44f9ecc482a75965d2e1cc56e1ea3c0b7c8c494c2298372477980528b","schema_version":"1.0","event_id":"sha256:677f32f44f9ecc482a75965d2e1cc56e1ea3c0b7c8c494c2298372477980528b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:DXPL3BZNALYKUISWEZ74E5MGTT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When does dough become a bagel? Analyzing the remaining mistakes on ImageNet","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin Caine, Raphael Gontijo-Lopes, Rebecca Roelofs, Sara Fridovich-Keil, Vijay Vasudevan","submitted_at":"2022-05-09T23:25:45Z","abstract_excerpt":"Image classification accuracy on the ImageNet dataset has been a barometer for progress in computer vision over the last decade. Several recent papers have questioned the degree to which the benchmark remains useful to the community, yet innovations continue to contribute gains to performance, with today's largest models achieving 90%+ top-1 accuracy. To help contextualize progress on ImageNet and provide a more meaningful evaluation for today's state-of-the-art models, we manually review and categorize every remaining mistake that a few top models make in order to provide insight into the lon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.04596","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/2205.04596/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":"2026-07-05T04:26:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+ICK5QIs3FAd+ANKUcMyHaMwTjI3iG4JqmvnQCyml+LF0ja9tSPMD133fGDWOp1dIwbAuAtgFG9F7e5+huMDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:16:25.592437Z"},"content_sha256":"4d00cc8be329322b16d5450ededc26378240556a5b52f318b945bc590c2e8ab1","schema_version":"1.0","event_id":"sha256:4d00cc8be329322b16d5450ededc26378240556a5b52f318b945bc590c2e8ab1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DXPL3BZNALYKUISWEZ74E5MGTT/bundle.json","state_url":"https://pith.science/pith/DXPL3BZNALYKUISWEZ74E5MGTT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DXPL3BZNALYKUISWEZ74E5MGTT/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":"2026-08-05T11:16:25Z","links":{"resolver":"https://pith.science/pith/DXPL3BZNALYKUISWEZ74E5MGTT","bundle":"https://pith.science/pith/DXPL3BZNALYKUISWEZ74E5MGTT/bundle.json","state":"https://pith.science/pith/DXPL3BZNALYKUISWEZ74E5MGTT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DXPL3BZNALYKUISWEZ74E5MGTT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DXPL3BZNALYKUISWEZ74E5MGTT","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":"80b37b70b854fa7090a9498cd0d595689ac3fa64c998bb2e593a608719e09f4c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-09T23:25:45Z","title_canon_sha256":"58634200cb97a4f908219bc38f725ac9e432c0bee9baba0c30b5c62ef31cdf12"},"schema_version":"1.0","source":{"id":"2205.04596","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.04596","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"arxiv_version","alias_value":"2205.04596v2","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.04596","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_12","alias_value":"DXPL3BZNALYK","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_16","alias_value":"DXPL3BZNALYKUISW","created_at":"2026-07-05T04:26:37Z"},{"alias_kind":"pith_short_8","alias_value":"DXPL3BZN","created_at":"2026-07-05T04:26:37Z"}],"graph_snapshots":[{"event_id":"sha256:4d00cc8be329322b16d5450ededc26378240556a5b52f318b945bc590c2e8ab1","target":"graph","created_at":"2026-07-05T04:26:37Z","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/2205.04596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image classification accuracy on the ImageNet dataset has been a barometer for progress in computer vision over the last decade. Several recent papers have questioned the degree to which the benchmark remains useful to the community, yet innovations continue to contribute gains to performance, with today's largest models achieving 90%+ top-1 accuracy. To help contextualize progress on ImageNet and provide a more meaningful evaluation for today's state-of-the-art models, we manually review and categorize every remaining mistake that a few top models make in order to provide insight into the lon","authors_text":"Benjamin Caine, Raphael Gontijo-Lopes, Rebecca Roelofs, Sara Fridovich-Keil, Vijay Vasudevan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-09T23:25:45Z","title":"When does dough become a bagel? Analyzing the remaining mistakes on ImageNet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.04596","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":"sha256:677f32f44f9ecc482a75965d2e1cc56e1ea3c0b7c8c494c2298372477980528b","target":"record","created_at":"2026-07-05T04:26:37Z","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":"80b37b70b854fa7090a9498cd0d595689ac3fa64c998bb2e593a608719e09f4c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-05-09T23:25:45Z","title_canon_sha256":"58634200cb97a4f908219bc38f725ac9e432c0bee9baba0c30b5c62ef31cdf12"},"schema_version":"1.0","source":{"id":"2205.04596","kind":"arxiv","version":2}},"canonical_sha256":"1ddebd872d02f0aa2256267fc275869ccaca42a45e9ac7ff95a3810f3a566d06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ddebd872d02f0aa2256267fc275869ccaca42a45e9ac7ff95a3810f3a566d06","first_computed_at":"2026-07-05T04:26:37.583542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:37.583542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oiFQd/3ES0KQJbn6BT3MEPVTF7uz73kXaOdZvQPxFzmiPLnhvWwa0MUw+knZ+DcDIu7F7O1gy7tZpGKr+s+5Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:37.583918Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.04596","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:677f32f44f9ecc482a75965d2e1cc56e1ea3c0b7c8c494c2298372477980528b","sha256:4d00cc8be329322b16d5450ededc26378240556a5b52f318b945bc590c2e8ab1"],"state_sha256":"7d01b061c74ae614547b17b259aa4e9a59424a31e3dd4d8c606015a0e0558c4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UDZ3VOYg0fVRiRfB7CBJAc/llD7E7Cej7xk8T3NwQdbzHTNBn+Owxhj7BL6Y/b19IVsEZwnOC2fpR7QPQJ2eBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:16:25.609614Z","bundle_sha256":"958fb3f15300ba2194edc34cee1aa170dbc1867eceb650e7ae4978d8eead37f1"}}