{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZSDVYEZELFZYA7Q3LMTCYDJ3AL","short_pith_number":"pith:ZSDVYEZE","canonical_record":{"source":{"id":"2301.10608","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-25T14:37:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6086223bb3b2cf14914f2a70b985b0e091db8f79c5266b8c67535a08c3ca1b26","abstract_canon_sha256":"f2041e1a242ea3c80ee437fa085a8b987192416d507453a69af28ee723da06a5"},"schema_version":"1.0"},"canonical_sha256":"cc875c13245973807e1b5b262c0d3b02cd714fa1ed208748a3081f91d17614dd","source":{"kind":"arxiv","id":"2301.10608","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10608","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10608v1","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10608","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_12","alias_value":"ZSDVYEZELFZY","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZSDVYEZELFZYA7Q3","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZSDVYEZE","created_at":"2026-07-05T05:35:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZSDVYEZELFZYA7Q3LMTCYDJ3AL","target":"record","payload":{"canonical_record":{"source":{"id":"2301.10608","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-25T14:37:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6086223bb3b2cf14914f2a70b985b0e091db8f79c5266b8c67535a08c3ca1b26","abstract_canon_sha256":"f2041e1a242ea3c80ee437fa085a8b987192416d507453a69af28ee723da06a5"},"schema_version":"1.0"},"canonical_sha256":"cc875c13245973807e1b5b262c0d3b02cd714fa1ed208748a3081f91d17614dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:35:53.034493Z","signature_b64":"DW06cdI6uocSgaW1iR16pCoKpinhF/KKqMcaxXf75vjl/vstJSXbd0Ssp9SXNGKAr0bchqv0L9ohqgtHB+4DCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc875c13245973807e1b5b262c0d3b02cd714fa1ed208748a3081f91d17614dd","last_reissued_at":"2026-07-05T05:35:53.033989Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:35:53.033989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.10608","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":"2026-07-05T05:35:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wAy4KrSTBfePcrAoVldRgb6HENWwFxSGWjyToQzLDOM1Joa7aCywel2Itp7BDVBAL7vzdfUeObg1QVrXoK7XDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T10:09:08.108854Z"},"content_sha256":"99f9e79495244ea7015ec77f3cfb369976c12c0ff3d980bb6996e8eddf0d47e7","schema_version":"1.0","event_id":"sha256:99f9e79495244ea7015ec77f3cfb369976c12c0ff3d980bb6996e8eddf0d47e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZSDVYEZELFZYA7Q3LMTCYDJ3AL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Connecting metrics for shape-texture knowledge in computer vision","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Arlindo L. Oliveira, Tiago Marques, Tiago Oliveira","submitted_at":"2023-01-25T14:37:42Z","abstract_excerpt":"Modern artificial neural networks, including convolutional neural networks and vision transformers, have mastered several computer vision tasks, including object recognition. However, there are many significant differences between the behavior and robustness of these systems and of the human visual system. Deep neural networks remain brittle and susceptible to many changes in the image that do not cause humans to misclassify images. Part of this different behavior may be explained by the type of features humans and deep neural networks use in vision tasks. Humans tend to classify objects accor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10608","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/2301.10608/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":"2026-07-05T05:35:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J5EcRi4p7w5Q3lQoQOW2hMdMWxreLb6yv/J2jz7GN4zZVbWznXuDcwdHjhvG9wVAQ3G8FpWFP75m0nwYYQrIBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T10:09:08.109221Z"},"content_sha256":"a68a3e10a0ac8205ec9853b60879ce24b1482ce9fdad3eca713aecf6d447d260","schema_version":"1.0","event_id":"sha256:a68a3e10a0ac8205ec9853b60879ce24b1482ce9fdad3eca713aecf6d447d260"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/bundle.json","state_url":"https://pith.science/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/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":"2026-07-14T10:09:08Z","links":{"resolver":"https://pith.science/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL","bundle":"https://pith.science/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/bundle.json","state":"https://pith.science/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZSDVYEZELFZYA7Q3LMTCYDJ3AL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZSDVYEZELFZYA7Q3LMTCYDJ3AL","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":"f2041e1a242ea3c80ee437fa085a8b987192416d507453a69af28ee723da06a5","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-25T14:37:42Z","title_canon_sha256":"6086223bb3b2cf14914f2a70b985b0e091db8f79c5266b8c67535a08c3ca1b26"},"schema_version":"1.0","source":{"id":"2301.10608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.10608","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"arxiv_version","alias_value":"2301.10608v1","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.10608","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_12","alias_value":"ZSDVYEZELFZY","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_16","alias_value":"ZSDVYEZELFZYA7Q3","created_at":"2026-07-05T05:35:53Z"},{"alias_kind":"pith_short_8","alias_value":"ZSDVYEZE","created_at":"2026-07-05T05:35:53Z"}],"graph_snapshots":[{"event_id":"sha256:a68a3e10a0ac8205ec9853b60879ce24b1482ce9fdad3eca713aecf6d447d260","target":"graph","created_at":"2026-07-05T05:35:53Z","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/2301.10608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern artificial neural networks, including convolutional neural networks and vision transformers, have mastered several computer vision tasks, including object recognition. However, there are many significant differences between the behavior and robustness of these systems and of the human visual system. Deep neural networks remain brittle and susceptible to many changes in the image that do not cause humans to misclassify images. Part of this different behavior may be explained by the type of features humans and deep neural networks use in vision tasks. Humans tend to classify objects accor","authors_text":"Arlindo L. Oliveira, Tiago Marques, Tiago Oliveira","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-25T14:37:42Z","title":"Connecting metrics for shape-texture knowledge in computer vision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.10608","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":"sha256:99f9e79495244ea7015ec77f3cfb369976c12c0ff3d980bb6996e8eddf0d47e7","target":"record","created_at":"2026-07-05T05:35:53Z","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":"f2041e1a242ea3c80ee437fa085a8b987192416d507453a69af28ee723da06a5","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-25T14:37:42Z","title_canon_sha256":"6086223bb3b2cf14914f2a70b985b0e091db8f79c5266b8c67535a08c3ca1b26"},"schema_version":"1.0","source":{"id":"2301.10608","kind":"arxiv","version":1}},"canonical_sha256":"cc875c13245973807e1b5b262c0d3b02cd714fa1ed208748a3081f91d17614dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc875c13245973807e1b5b262c0d3b02cd714fa1ed208748a3081f91d17614dd","first_computed_at":"2026-07-05T05:35:53.033989Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:35:53.033989Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DW06cdI6uocSgaW1iR16pCoKpinhF/KKqMcaxXf75vjl/vstJSXbd0Ssp9SXNGKAr0bchqv0L9ohqgtHB+4DCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:35:53.034493Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.10608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99f9e79495244ea7015ec77f3cfb369976c12c0ff3d980bb6996e8eddf0d47e7","sha256:a68a3e10a0ac8205ec9853b60879ce24b1482ce9fdad3eca713aecf6d447d260"],"state_sha256":"f4e3475505c3d1c86eb7e9f4434c9e176ae0e54e8e33b6b60445c81d291ad614"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BOGxhhq7nEBJcTV5OB0vr4u7sPvowTL0tMEUx6uoZCuu79SE0MwnVL3V5fYtTEXCfNYZFNXyXUujaYst3CQEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T10:09:08.111304Z","bundle_sha256":"4a838dd4fd8b62201e033edb877a8a69847c9cbbc0f6aef7c8e65fd2d864b0b9"}}