{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IGX6GZHQ45V6T63YUSQGIKWJ7F","short_pith_number":"pith:IGX6GZHQ","canonical_record":{"source":{"id":"2312.03781","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T09:39:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"24838d0b8237f46db172ae284c0cdbe1c44160869698b1385d0286c3efc99b19","abstract_canon_sha256":"65d3236e11bc9f15f1de5d6b29f50b091c6f3154dae4ba2059bb1b250d1a9aa2"},"schema_version":"1.0"},"canonical_sha256":"41afe364f0e76be9fb78a4a0642ac9f94a0802a4492d5d6f9b9b89d7b82b88d0","source":{"kind":"arxiv","id":"2312.03781","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03781","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03781v4","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03781","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_12","alias_value":"IGX6GZHQ45V6","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_16","alias_value":"IGX6GZHQ45V6T63Y","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_8","alias_value":"IGX6GZHQ","created_at":"2026-07-05T08:50:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IGX6GZHQ45V6T63YUSQGIKWJ7F","target":"record","payload":{"canonical_record":{"source":{"id":"2312.03781","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T09:39:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"24838d0b8237f46db172ae284c0cdbe1c44160869698b1385d0286c3efc99b19","abstract_canon_sha256":"65d3236e11bc9f15f1de5d6b29f50b091c6f3154dae4ba2059bb1b250d1a9aa2"},"schema_version":"1.0"},"canonical_sha256":"41afe364f0e76be9fb78a4a0642ac9f94a0802a4492d5d6f9b9b89d7b82b88d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:52.826226Z","signature_b64":"p4AFPytl5pn/l71xA84mxxB9K50VJzBJBqM1Bvv5qMtgAvPy9pR+mw2oOFqSLyuOvlqGFItE8jLehWrMQfARCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41afe364f0e76be9fb78a4a0642ac9f94a0802a4492d5d6f9b9b89d7b82b88d0","last_reissued_at":"2026-07-05T08:50:52.825853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:52.825853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.03781","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:50:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OwzyIsC24CVuf9rM53HrOKlniBii9n1C1+37imsJ8a79XARx9JKjXg+9WURof+hn1CSBPf8xNVtGxCNWNn2mAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:07:00.535588Z"},"content_sha256":"66e70ade39a854626c83bc252042afaa74b0a2d47a2b92f30ddf168bd415a5ea","schema_version":"1.0","event_id":"sha256:66e70ade39a854626c83bc252042afaa74b0a2d47a2b92f30ddf168bd415a5ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IGX6GZHQ45V6T63YUSQGIKWJ7F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lite-Mind: Towards Efficient and Robust Brain Representation Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Duoqian Miao, Guangyin Bao, Ke Liu, Lei Zhu, Liang Hu, Qi Zhang, Yu Zhang, Zixuan Gong","submitted_at":"2023-12-06T09:39:38Z","abstract_excerpt":"The limited data availability and the low signal-to-noise ratio of fMRI signals lead to the challenging task of fMRI-to-image retrieval. State-of-the-art MindEye remarkably improves fMRI-to-image retrieval performance by leveraging a large model, i.e., a 996M MLP Backbone per subject, to align fMRI embeddings to the final hidden layer of CLIP's Vision Transformer (ViT). However, significant individual variations exist among subjects, even under identical experimental setups, mandating the training of large subject-specific models. The substantial parameters pose significant challenges in deplo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03781","kind":"arxiv","version":4},"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/2312.03781/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":"2026-07-05T08:50:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8560kBxF0LTdeEidVVHpplNMWYUQzPRZopXI/QLmYzgIi7k5ijDftUNCrKBkzC2g0MGKD6fquphyzi2O7eqGBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:07:00.537271Z"},"content_sha256":"bd3a532eede916a1de77a91a2f3a51b5278ff0c4cf4051010eca8d43e2ed87be","schema_version":"1.0","event_id":"sha256:bd3a532eede916a1de77a91a2f3a51b5278ff0c4cf4051010eca8d43e2ed87be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/bundle.json","state_url":"https://pith.science/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/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":"2026-08-18T02:07:00Z","links":{"resolver":"https://pith.science/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F","bundle":"https://pith.science/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/bundle.json","state":"https://pith.science/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IGX6GZHQ45V6T63YUSQGIKWJ7F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IGX6GZHQ45V6T63YUSQGIKWJ7F","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":"65d3236e11bc9f15f1de5d6b29f50b091c6f3154dae4ba2059bb1b250d1a9aa2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T09:39:38Z","title_canon_sha256":"24838d0b8237f46db172ae284c0cdbe1c44160869698b1385d0286c3efc99b19"},"schema_version":"1.0","source":{"id":"2312.03781","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03781","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03781v4","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03781","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_12","alias_value":"IGX6GZHQ45V6","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_16","alias_value":"IGX6GZHQ45V6T63Y","created_at":"2026-07-05T08:50:52Z"},{"alias_kind":"pith_short_8","alias_value":"IGX6GZHQ","created_at":"2026-07-05T08:50:52Z"}],"graph_snapshots":[{"event_id":"sha256:bd3a532eede916a1de77a91a2f3a51b5278ff0c4cf4051010eca8d43e2ed87be","target":"graph","created_at":"2026-07-05T08:50:52Z","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/2312.03781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The limited data availability and the low signal-to-noise ratio of fMRI signals lead to the challenging task of fMRI-to-image retrieval. State-of-the-art MindEye remarkably improves fMRI-to-image retrieval performance by leveraging a large model, i.e., a 996M MLP Backbone per subject, to align fMRI embeddings to the final hidden layer of CLIP's Vision Transformer (ViT). However, significant individual variations exist among subjects, even under identical experimental setups, mandating the training of large subject-specific models. The substantial parameters pose significant challenges in deplo","authors_text":"Duoqian Miao, Guangyin Bao, Ke Liu, Lei Zhu, Liang Hu, Qi Zhang, Yu Zhang, Zixuan Gong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T09:39:38Z","title":"Lite-Mind: Towards Efficient and Robust Brain Representation Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03781","kind":"arxiv","version":4},"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":"sha256:66e70ade39a854626c83bc252042afaa74b0a2d47a2b92f30ddf168bd415a5ea","target":"record","created_at":"2026-07-05T08:50:52Z","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":"65d3236e11bc9f15f1de5d6b29f50b091c6f3154dae4ba2059bb1b250d1a9aa2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T09:39:38Z","title_canon_sha256":"24838d0b8237f46db172ae284c0cdbe1c44160869698b1385d0286c3efc99b19"},"schema_version":"1.0","source":{"id":"2312.03781","kind":"arxiv","version":4}},"canonical_sha256":"41afe364f0e76be9fb78a4a0642ac9f94a0802a4492d5d6f9b9b89d7b82b88d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41afe364f0e76be9fb78a4a0642ac9f94a0802a4492d5d6f9b9b89d7b82b88d0","first_computed_at":"2026-07-05T08:50:52.825853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:50:52.825853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p4AFPytl5pn/l71xA84mxxB9K50VJzBJBqM1Bvv5qMtgAvPy9pR+mw2oOFqSLyuOvlqGFItE8jLehWrMQfARCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:50:52.826226Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03781","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66e70ade39a854626c83bc252042afaa74b0a2d47a2b92f30ddf168bd415a5ea","sha256:bd3a532eede916a1de77a91a2f3a51b5278ff0c4cf4051010eca8d43e2ed87be"],"state_sha256":"9aa65f310b647cec505a3f4f6d361b0f5bba7822dea62d293e644a4bbee4e86a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZHIMvElSlRkBPw7Xz0h5V1F6DgkX49mOtwQ349yqaz4EpE56s/7oEogcJFe715uL8h9zTKIMVNYDyBYklenXDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:07:00.621853Z","bundle_sha256":"54e2c4eaf6f1726e62ea232080453ee2eb9f987761b8d82eef83218b74723b04"}}