{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NR2J5WBGDUZCNVDMCKZ2FTT6IM","short_pith_number":"pith:NR2J5WBG","canonical_record":{"source":{"id":"2607.08321","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T10:05:43Z","cross_cats_sorted":[],"title_canon_sha256":"9d1e7a46ffec736aebd81dc8f287369aa7e0eb5b60f836de1420fe3eb25bb186","abstract_canon_sha256":"5521d2b5b4f3135513ba0de42f119b0fd9e16e1be8ee58d3fa620b10b28c3a51"},"schema_version":"1.0"},"canonical_sha256":"6c749ed8261d3226d46c12b3a2ce7e43034bb0612cc61d9c8b49c75d166626f2","source":{"kind":"arxiv","id":"2607.08321","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08321","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08321v1","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08321","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_12","alias_value":"NR2J5WBGDUZC","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_16","alias_value":"NR2J5WBGDUZCNVDM","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_8","alias_value":"NR2J5WBG","created_at":"2026-07-10T01:19:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NR2J5WBGDUZCNVDMCKZ2FTT6IM","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08321","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T10:05:43Z","cross_cats_sorted":[],"title_canon_sha256":"9d1e7a46ffec736aebd81dc8f287369aa7e0eb5b60f836de1420fe3eb25bb186","abstract_canon_sha256":"5521d2b5b4f3135513ba0de42f119b0fd9e16e1be8ee58d3fa620b10b28c3a51"},"schema_version":"1.0"},"canonical_sha256":"6c749ed8261d3226d46c12b3a2ce7e43034bb0612cc61d9c8b49c75d166626f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:47.207756Z","signature_b64":"DcIQRD29VBBmZmOV9lhzuPw6a87kUPvGJyNFScrT2H6fcSvDFk6IMqcJvLSsi4bvCP8cVt2mF00EMgRFoOXkCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c749ed8261d3226d46c12b3a2ce7e43034bb0612cc61d9c8b49c75d166626f2","last_reissued_at":"2026-07-10T01:19:47.207419Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:47.207419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08321","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":"2026-07-10T01:19:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nfuHnEltQCBIxfoZ5E4GTyWcDDL+OH8CaTzGmmlntvpH/sAj9y/6Y80lt5JLgOGpuWOBpWdzD0lGS7ZUVnVlDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T20:53:32.470037Z"},"content_sha256":"e1ed7c6691f748b814ea06ba97874a51738e1250c65eb1ea50e98b45ce64a867","schema_version":"1.0","event_id":"sha256:e1ed7c6691f748b814ea06ba97874a51738e1250c65eb1ea50e98b45ce64a867"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NR2J5WBGDUZCNVDMCKZ2FTT6IM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alessandro Laio, Eugenio Piasini, Ludovica de Paolis, Marco Baroni","submitted_at":"2026-07-09T10:05:43Z","abstract_excerpt":"In computational vision science, Convolutional Neural Networks (CNNs) have emerged as a popular model of biological vision because of the alignment they can exhibit with neural and behavioral data in humans and animals. However, it remains unclear to what extent this alignment persists for visual tasks that extend beyond the canonical object recognition paradigm based on well defined semantic content. In this study, we diverge from the common object-centric view by focusing on another aspect of vision: texture perception. We consider textures of different complexity generated with three differ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08321","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/2607.08321/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":"2026-07-10T01:19:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRH0y94BInToKQy3YnlSryHgCxT0++N90itF0b2fV9QEfWAEmFKqhIQ2c3A29MNYw2tpIUQRPqy2IjyRDi04Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T20:53:32.470795Z"},"content_sha256":"5b884b01091e1fe2cebca6a0bbada8b59b46bbd4fccc6c5c161620cf5076c93a","schema_version":"1.0","event_id":"sha256:5b884b01091e1fe2cebca6a0bbada8b59b46bbd4fccc6c5c161620cf5076c93a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/bundle.json","state_url":"https://pith.science/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/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":"2026-08-17T20:53:32Z","links":{"resolver":"https://pith.science/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM","bundle":"https://pith.science/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/bundle.json","state":"https://pith.science/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NR2J5WBGDUZCNVDMCKZ2FTT6IM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NR2J5WBGDUZCNVDMCKZ2FTT6IM","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":"5521d2b5b4f3135513ba0de42f119b0fd9e16e1be8ee58d3fa620b10b28c3a51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T10:05:43Z","title_canon_sha256":"9d1e7a46ffec736aebd81dc8f287369aa7e0eb5b60f836de1420fe3eb25bb186"},"schema_version":"1.0","source":{"id":"2607.08321","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08321","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08321v1","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08321","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_12","alias_value":"NR2J5WBGDUZC","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_16","alias_value":"NR2J5WBGDUZCNVDM","created_at":"2026-07-10T01:19:47Z"},{"alias_kind":"pith_short_8","alias_value":"NR2J5WBG","created_at":"2026-07-10T01:19:47Z"}],"graph_snapshots":[{"event_id":"sha256:5b884b01091e1fe2cebca6a0bbada8b59b46bbd4fccc6c5c161620cf5076c93a","target":"graph","created_at":"2026-07-10T01:19:47Z","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/2607.08321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In computational vision science, Convolutional Neural Networks (CNNs) have emerged as a popular model of biological vision because of the alignment they can exhibit with neural and behavioral data in humans and animals. However, it remains unclear to what extent this alignment persists for visual tasks that extend beyond the canonical object recognition paradigm based on well defined semantic content. In this study, we diverge from the common object-centric view by focusing on another aspect of vision: texture perception. We consider textures of different complexity generated with three differ","authors_text":"Alessandro Laio, Eugenio Piasini, Ludovica de Paolis, Marco Baroni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T10:05:43Z","title":"Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08321","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:e1ed7c6691f748b814ea06ba97874a51738e1250c65eb1ea50e98b45ce64a867","target":"record","created_at":"2026-07-10T01:19:47Z","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":"5521d2b5b4f3135513ba0de42f119b0fd9e16e1be8ee58d3fa620b10b28c3a51","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T10:05:43Z","title_canon_sha256":"9d1e7a46ffec736aebd81dc8f287369aa7e0eb5b60f836de1420fe3eb25bb186"},"schema_version":"1.0","source":{"id":"2607.08321","kind":"arxiv","version":1}},"canonical_sha256":"6c749ed8261d3226d46c12b3a2ce7e43034bb0612cc61d9c8b49c75d166626f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c749ed8261d3226d46c12b3a2ce7e43034bb0612cc61d9c8b49c75d166626f2","first_computed_at":"2026-07-10T01:19:47.207419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:47.207419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DcIQRD29VBBmZmOV9lhzuPw6a87kUPvGJyNFScrT2H6fcSvDFk6IMqcJvLSsi4bvCP8cVt2mF00EMgRFoOXkCw==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:47.207756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08321","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1ed7c6691f748b814ea06ba97874a51738e1250c65eb1ea50e98b45ce64a867","sha256:5b884b01091e1fe2cebca6a0bbada8b59b46bbd4fccc6c5c161620cf5076c93a"],"state_sha256":"7c6fcbc0ba4b349a2d25d57f03ed7b0edad7a36529f46813fd9777e534c0e210"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F5UFXbOL4L5ajKWhCTGIHWYBUzPImYGJbCVtSi9lslwl//OnGiKZSwnflqr+ER5Y4XRAyBsH4baHR8OYDskoDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T20:53:32.477509Z","bundle_sha256":"b0e8195a4f93551a93ff120fbdd9b74aa8e2fcfe4af32130b794f7abe21291f4"}}