{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CWCNQGMM6JGOIUJR33DAC3P6JB","short_pith_number":"pith:CWCNQGMM","canonical_record":{"source":{"id":"2410.05266","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T17:59:45Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"7210de30335264245a6414a6a0f148d700b25f0101ab616fb0a285e33488086c","abstract_canon_sha256":"71eba808f13ca318198c789caf36f959e6ea897d2f9ea2666ef45ef1da1e498c"},"schema_version":"1.0"},"canonical_sha256":"1584d8198cf24ce45131dec6016dfe486f31f87496bd75b789dcb4f8a832ff54","source":{"kind":"arxiv","id":"2410.05266","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05266","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05266v2","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05266","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_12","alias_value":"CWCNQGMM6JGO","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_16","alias_value":"CWCNQGMM6JGOIUJR","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_8","alias_value":"CWCNQGMM","created_at":"2026-07-05T11:26:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CWCNQGMM6JGOIUJR33DAC3P6JB","target":"record","payload":{"canonical_record":{"source":{"id":"2410.05266","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T17:59:45Z","cross_cats_sorted":["q-bio.NC"],"title_canon_sha256":"7210de30335264245a6414a6a0f148d700b25f0101ab616fb0a285e33488086c","abstract_canon_sha256":"71eba808f13ca318198c789caf36f959e6ea897d2f9ea2666ef45ef1da1e498c"},"schema_version":"1.0"},"canonical_sha256":"1584d8198cf24ce45131dec6016dfe486f31f87496bd75b789dcb4f8a832ff54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:01.064795Z","signature_b64":"LB+u+dXCR5JytRZTW6eJPmqFDn5krJJiK4brb2ax3ATq9AH/Orz7sOxoJZqrGLPgRPnhPX7ytCmMMISxM+rRBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1584d8198cf24ce45131dec6016dfe486f31f87496bd75b789dcb4f8a832ff54","last_reissued_at":"2026-07-05T11:26:01.064387Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:01.064387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.05266","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":"2026-07-05T11:26:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"De3VVNjoJ2DJs0SkY6mZxskiU7Xu2MYn3MAB4Nx/TVqIu+uVrbj7kAyakIINrqkas2jNzG2I6RwC/qMXTcyWBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:03:58.235515Z"},"content_sha256":"367dd4806a6803ba2700a81a269356f6aae56abd855c6aacda95788305dcce4b","schema_version":"1.0","event_id":"sha256:367dd4806a6803ba2700a81a269356f6aae56abd855c6aacda95788305dcce4b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CWCNQGMM6JGOIUJR33DAC3P6JB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["q-bio.NC"],"primary_cat":"cs.CV","authors_text":"Andrew F. Luo, Jacob Yeung, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Rushikesh Zawar, Shaurya Dewan","submitted_at":"2024-10-07T17:59:45Z","abstract_excerpt":"We introduce BrainSAIL, a method for linking neural selectivity with spatially distributed semantic visual concepts in natural scenes. BrainSAIL leverages recent advances in large-scale artificial neural networks, using them to provide insights into the functional topology of the brain. To overcome the challenge presented by the co-occurrence of multiple categories in natural images, BrainSAIL exploits semantically consistent, dense spatial features from pre-trained vision models, building upon their demonstrated ability to robustly predict neural activity. This method derives clean, spatially"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05266","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/2410.05266/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":"2026-07-05T11:26:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oExRSv6vi0g/XyYJojaYuEXoGpYPEJlrRGvKS8J3LZZrC7NvoaoG//ZE04G8bAWQbM5/T56kp4mM1gZj29gCDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:03:58.235911Z"},"content_sha256":"59e1b17c7da4becee1d8b50f48228edb082d5edf9cf46dfeef40e6a4c1d3b52b","schema_version":"1.0","event_id":"sha256:59e1b17c7da4becee1d8b50f48228edb082d5edf9cf46dfeef40e6a4c1d3b52b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/bundle.json","state_url":"https://pith.science/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/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":"2026-07-06T14:03:58Z","links":{"resolver":"https://pith.science/pith/CWCNQGMM6JGOIUJR33DAC3P6JB","bundle":"https://pith.science/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/bundle.json","state":"https://pith.science/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CWCNQGMM6JGOIUJR33DAC3P6JB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CWCNQGMM6JGOIUJR33DAC3P6JB","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":"71eba808f13ca318198c789caf36f959e6ea897d2f9ea2666ef45ef1da1e498c","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T17:59:45Z","title_canon_sha256":"7210de30335264245a6414a6a0f148d700b25f0101ab616fb0a285e33488086c"},"schema_version":"1.0","source":{"id":"2410.05266","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.05266","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"arxiv_version","alias_value":"2410.05266v2","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.05266","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_12","alias_value":"CWCNQGMM6JGO","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_16","alias_value":"CWCNQGMM6JGOIUJR","created_at":"2026-07-05T11:26:01Z"},{"alias_kind":"pith_short_8","alias_value":"CWCNQGMM","created_at":"2026-07-05T11:26:01Z"}],"graph_snapshots":[{"event_id":"sha256:59e1b17c7da4becee1d8b50f48228edb082d5edf9cf46dfeef40e6a4c1d3b52b","target":"graph","created_at":"2026-07-05T11:26:01Z","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/2410.05266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce BrainSAIL, a method for linking neural selectivity with spatially distributed semantic visual concepts in natural scenes. BrainSAIL leverages recent advances in large-scale artificial neural networks, using them to provide insights into the functional topology of the brain. To overcome the challenge presented by the co-occurrence of multiple categories in natural images, BrainSAIL exploits semantically consistent, dense spatial features from pre-trained vision models, building upon their demonstrated ability to robustly predict neural activity. This method derives clean, spatially","authors_text":"Andrew F. Luo, Jacob Yeung, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Rushikesh Zawar, Shaurya Dewan","cross_cats":["q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T17:59:45Z","title":"Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.05266","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":"sha256:367dd4806a6803ba2700a81a269356f6aae56abd855c6aacda95788305dcce4b","target":"record","created_at":"2026-07-05T11:26:01Z","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":"71eba808f13ca318198c789caf36f959e6ea897d2f9ea2666ef45ef1da1e498c","cross_cats_sorted":["q-bio.NC"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-07T17:59:45Z","title_canon_sha256":"7210de30335264245a6414a6a0f148d700b25f0101ab616fb0a285e33488086c"},"schema_version":"1.0","source":{"id":"2410.05266","kind":"arxiv","version":2}},"canonical_sha256":"1584d8198cf24ce45131dec6016dfe486f31f87496bd75b789dcb4f8a832ff54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1584d8198cf24ce45131dec6016dfe486f31f87496bd75b789dcb4f8a832ff54","first_computed_at":"2026-07-05T11:26:01.064387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:01.064387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LB+u+dXCR5JytRZTW6eJPmqFDn5krJJiK4brb2ax3ATq9AH/Orz7sOxoJZqrGLPgRPnhPX7ytCmMMISxM+rRBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:01.064795Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.05266","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:367dd4806a6803ba2700a81a269356f6aae56abd855c6aacda95788305dcce4b","sha256:59e1b17c7da4becee1d8b50f48228edb082d5edf9cf46dfeef40e6a4c1d3b52b"],"state_sha256":"5445da6bfa3833e8c3797d980c4ee7db33c8b87aeccb3795e2dde899b03735cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S/bSAZFsYGQ4Zh6omCpIv/OM2GqsjoGzn5e2TuFS6AUbvLFIwr23fenvv/hGTfrssJVIBwDvH+dcyVt+yFM+Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T14:03:58.237935Z","bundle_sha256":"6c00cf0bd1d9bd7221c3e24af4488852db2bd6915c53abc0c6f88be016ca4857"}}