{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2T6CAORG3O4C724QCTN3JREJX4","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":"36bbcda952c56d66a6375b373b7ae06f1011af788f8753a85873d451d0a3e6c4","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T11:28:10Z","title_canon_sha256":"e8b003c9c61670ffdeaf198f096d06f19b8e9fa756b4b5ecaa10603b3d4f6625"},"schema_version":"1.0","source":{"id":"2605.16468","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16468","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16468v1","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16468","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"2T6CAORG3O4C","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"2T6CAORG3O4C724Q","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"2T6CAORG","created_at":"2026-05-20T00:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:dd554214d736a1982ad853e81a01192e3701012fd5a4f33e5344378b9db7c2d3","target":"graph","created_at":"2026-05-20T00:02:23Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:23.118868Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:21:57.056955Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.16468/integrity.json","findings":[],"snapshot_sha256":"ad1e959ec6e485ffadfe5a0ddfaa5d73fa27c227020f39fdca89aa3c750b7efa","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A central goal in understanding human vision is to uncover the visual features that drive neuronal activity. A growing body of work has used artificial neural networks as encoding models to predict cortical responses to natural images, revealing the visual content that activates category-selective regions. However, existing approaches are largely correlational and treat the encoder as a black box, leaving open which image features drive each voxel's response. We introduce Mechanistically Interpretable Neural Encoding (MINE), a framework that opens this black box by applying mechanistic-interpr","authors_text":"Galit Yovel, Idan Daniel Grosbard, Mor Geva","cross_cats":["cs.AI","cs.CL","cs.LG","q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T11:28:10Z","title":"Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16468","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":"sha256:49b0211762b40d1410d6aa464c0b29e5a555457f28fedcf5167bc46bb6261f7c","target":"record","created_at":"2026-05-20T00:02:23Z","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":"36bbcda952c56d66a6375b373b7ae06f1011af788f8753a85873d451d0a3e6c4","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T11:28:10Z","title_canon_sha256":"e8b003c9c61670ffdeaf198f096d06f19b8e9fa756b4b5ecaa10603b3d4f6625"},"schema_version":"1.0","source":{"id":"2605.16468","kind":"arxiv","version":1}},"canonical_sha256":"d4fc203a26dbb82feb9014dbb4c489bf1fbba69a687d0d3fa1d46ea5a9ef25ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4fc203a26dbb82feb9014dbb4c489bf1fbba69a687d0d3fa1d46ea5a9ef25ec","first_computed_at":"2026-05-20T00:02:23.532693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:23.532693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dTIr+jovfBxPomiGgo/8aEeGIlxdMc3rBp6oLy8jUHtA8PQSltYQ6d1WikYRzOH92SBXmQXkC/1/xsInmLFhCw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:23.533472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16468","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49b0211762b40d1410d6aa464c0b29e5a555457f28fedcf5167bc46bb6261f7c","sha256:dd554214d736a1982ad853e81a01192e3701012fd5a4f33e5344378b9db7c2d3"],"state_sha256":"dd91b4bc643e53478c5aac7ccb3266af736e189f24d581bf3b4cd2da5ab2b878"}