{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SQY5E4SUWHDJ7DHXVMFW3SOA3M","short_pith_number":"pith:SQY5E4SU","canonical_record":{"source":{"id":"2606.06664","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T19:25:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"bc9b62d277801a445d2bb5433421dcbb889121f693469adcb35918b0b4361e12","abstract_canon_sha256":"d42784789d00beefc5e6ddcde38370383271ba0f274c75e21aeef0c88a3faf3a"},"schema_version":"1.0"},"canonical_sha256":"9431d27254b1c69f8cf7ab0b6dc9c0db1862538b385b102eaf1ce3428b85d256","source":{"kind":"arxiv","id":"2606.06664","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06664","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06664v1","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06664","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_12","alias_value":"SQY5E4SUWHDJ","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_16","alias_value":"SQY5E4SUWHDJ7DHX","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_8","alias_value":"SQY5E4SU","created_at":"2026-06-08T01:04:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SQY5E4SUWHDJ7DHXVMFW3SOA3M","target":"record","payload":{"canonical_record":{"source":{"id":"2606.06664","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T19:25:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"bc9b62d277801a445d2bb5433421dcbb889121f693469adcb35918b0b4361e12","abstract_canon_sha256":"d42784789d00beefc5e6ddcde38370383271ba0f274c75e21aeef0c88a3faf3a"},"schema_version":"1.0"},"canonical_sha256":"9431d27254b1c69f8cf7ab0b6dc9c0db1862538b385b102eaf1ce3428b85d256","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:21.484255Z","signature_b64":"QP0SZ7TQUVQKoWM3H5cmFmbl2ptRfc08AcQhN44L4x7TFm2jQmjtkwLSlQ2oY0bj2/RyyTwab4i1zR4mVGC3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9431d27254b1c69f8cf7ab0b6dc9c0db1862538b385b102eaf1ce3428b85d256","last_reissued_at":"2026-06-08T01:04:21.483491Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:21.483491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.06664","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":"2026-06-08T01:04:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tNMs8pJsE5+GBPPU8BlGJ587zkx48GsxzrDfy+NG+dgYWCZMioaCckIiehasV8O2G4/W0gPKHXeKZMQlMbQ1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T03:50:06.401851Z"},"content_sha256":"8ef48901b6367ff3d1a9850b7f2f8dc11d855849a457d0465576f0208983e430","schema_version":"1.0","event_id":"sha256:8ef48901b6367ff3d1a9850b7f2f8dc11d855849a457d0465576f0208983e430"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SQY5E4SUWHDJ7DHXVMFW3SOA3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Mengmeng Ma, Tang Li, Xi Peng, Yanlin Chen","submitted_at":"2026-06-04T19:25:40Z","abstract_excerpt":"Despite high accuracy, Vision Transformer (ViT) predictions can be driven by spurious cues, raising the need to understand their inner workings before safe deployment. Sparse autoencoders (SAEs) provide a promising lens for decomposing model representations into human-interpretable concepts, yet adapting SAE-based interpretation to ViTs remains challenging due to limited control over concept coverage and subjective, non-scalable feature interpretation. To fill the gaps, motivated by neuroscience-inspired principles, we propose ViSAE, a mechanistic interpretability toolbox for understanding ViT"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06664","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/2606.06664/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":"2026-06-08T01:04:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDsaO9TSTcZxsQQ9U5uy6vfH1S2Git/hJMe9369YuSSOjosTvWS5r8vpqOLR0E6qIaNGyjuJVigY8aPLvYm5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T03:50:06.402640Z"},"content_sha256":"97d20800026c6d98e18111a7b8ce6e71b40a323fe171eec5f4be8e6f0b852142","schema_version":"1.0","event_id":"sha256:97d20800026c6d98e18111a7b8ce6e71b40a323fe171eec5f4be8e6f0b852142"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/bundle.json","state_url":"https://pith.science/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/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":"2026-06-09T03:50:06Z","links":{"resolver":"https://pith.science/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M","bundle":"https://pith.science/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/bundle.json","state":"https://pith.science/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SQY5E4SUWHDJ7DHXVMFW3SOA3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SQY5E4SUWHDJ7DHXVMFW3SOA3M","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":"d42784789d00beefc5e6ddcde38370383271ba0f274c75e21aeef0c88a3faf3a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T19:25:40Z","title_canon_sha256":"bc9b62d277801a445d2bb5433421dcbb889121f693469adcb35918b0b4361e12"},"schema_version":"1.0","source":{"id":"2606.06664","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06664","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06664v1","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06664","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_12","alias_value":"SQY5E4SUWHDJ","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_16","alias_value":"SQY5E4SUWHDJ7DHX","created_at":"2026-06-08T01:04:21Z"},{"alias_kind":"pith_short_8","alias_value":"SQY5E4SU","created_at":"2026-06-08T01:04:21Z"}],"graph_snapshots":[{"event_id":"sha256:97d20800026c6d98e18111a7b8ce6e71b40a323fe171eec5f4be8e6f0b852142","target":"graph","created_at":"2026-06-08T01:04:21Z","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/2606.06664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite high accuracy, Vision Transformer (ViT) predictions can be driven by spurious cues, raising the need to understand their inner workings before safe deployment. Sparse autoencoders (SAEs) provide a promising lens for decomposing model representations into human-interpretable concepts, yet adapting SAE-based interpretation to ViTs remains challenging due to limited control over concept coverage and subjective, non-scalable feature interpretation. To fill the gaps, motivated by neuroscience-inspired principles, we propose ViSAE, a mechanistic interpretability toolbox for understanding ViT","authors_text":"Mengmeng Ma, Tang Li, Xi Peng, Yanlin Chen","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T19:25:40Z","title":"Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06664","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":"sha256:8ef48901b6367ff3d1a9850b7f2f8dc11d855849a457d0465576f0208983e430","target":"record","created_at":"2026-06-08T01:04:21Z","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":"d42784789d00beefc5e6ddcde38370383271ba0f274c75e21aeef0c88a3faf3a","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T19:25:40Z","title_canon_sha256":"bc9b62d277801a445d2bb5433421dcbb889121f693469adcb35918b0b4361e12"},"schema_version":"1.0","source":{"id":"2606.06664","kind":"arxiv","version":1}},"canonical_sha256":"9431d27254b1c69f8cf7ab0b6dc9c0db1862538b385b102eaf1ce3428b85d256","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9431d27254b1c69f8cf7ab0b6dc9c0db1862538b385b102eaf1ce3428b85d256","first_computed_at":"2026-06-08T01:04:21.483491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:21.483491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QP0SZ7TQUVQKoWM3H5cmFmbl2ptRfc08AcQhN44L4x7TFm2jQmjtkwLSlQ2oY0bj2/RyyTwab4i1zR4mVGC3AQ==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:21.484255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06664","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ef48901b6367ff3d1a9850b7f2f8dc11d855849a457d0465576f0208983e430","sha256:97d20800026c6d98e18111a7b8ce6e71b40a323fe171eec5f4be8e6f0b852142"],"state_sha256":"f3d0c33261d6040d26f46cfa395c7621216632a3dc2ff3f21b31db1e519ee109"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JgISZyKCr9CdpvtEDY8Rjb6IOZ1Muj/EJ+asOQ9qj0uw3B8nTDym4C2jmG7cLuwgT0wToUcxHfgfFG/MhDsvDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T03:50:06.406623Z","bundle_sha256":"37c6512473198c44d5778e8819d13aeb717bf6174b6018d817712af7f2cc0019"}}