{"as_of":"2026-08-07T05:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:185a89b7761e61062a6005e8bf67eff277b5584e6065f4e4b158fe644885e142","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T01:23:05.666596Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.05171/citation-record","integrity":"/paper/2607.05171/integrity","json":"/paper/2607.05171/citation-record.json","paper":"/paper/2607.05171"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.143882Z","title":"Transformer brain encoders explain human high-level visual responses","venue":null,"work_id":"f31d80f4-bc3c-43eb-acd7-ce2d230f2172","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:a2238e6c3f0ac84cc40fcd681646048a1c442f68efaaf9c6855792aca933fbfe","observation_id":"38ab5232-5ff1-462e-84cf-4ed7d85ef78d","resolution":{"observed_at":"2026-07-08T01:24:27.146366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.191242Z","title":"Scaling laws for language encoding models in fmri.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"321685e8-c113-404a-9913-55d227fa250c","year":2024},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:ab9590fab15d9d7b654641f910e780df9b0429c27d5ab1acc26a27c55425d84d","observation_id":"f3345c05-e5ca-406d-a192-4e89843bb05c","resolution":{"observed_at":"2026-07-08T01:24:27.192961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.156453Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in Neural Information Processing Systems, 33:12449–12460, 2020","venue":null,"work_id":"d8188bb5-f07f-43ea-bd6e-cf83fa1e7d35","year":2020},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:93505d9281b7c4438822182e567cf95eaf3792b7eb9326e7ad41aa98696118a7","observation_id":"abf39596-eee0-4f3f-8f8c-4c49fa33ac62","resolution":{"observed_at":"2026-07-08T01:24:27.158125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12179","last_updated":"2026-05-24T14:47:20Z","snapshot_observed_at":"2026-07-06T18:32:40.207270Z","submitted_at":"2024-06-18T01:17:07Z","title":"The Wisdom of a Crowd of Brains: A Universal Brain Encoder","version":4},"cited_work":{"arxiv_id":"2406.12179","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12179","snapshot_observed_at":"2026-07-08T01:24:27.119495Z","title":"The wisdom of a crowd of brains: A universal brain encoder","venue":"cs.CV","work_id":"a5cfb36e-adf4-4952-85bf-67426c8288c2","year":2024},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"cited_paper":"/paper/2406.12179","citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:82b15b2ce0610430b122a42f5bb225b36278fcc9a9836b5070491910af201e04","observation_id":"285fdb4d-a541-4c64-877b-4caabb8f5623","resolution":{"observed_at":"2026-07-08T01:24:27.123936Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.193170Z","title":"The wisdom of a crowd of brains: A universal brain encoder, 2025","venue":null,"work_id":"d0292975-9ddf-416a-87b6-04e177e51d49","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:33b687483e3deae3bb048c4457da993ace3e7be982e1be7de48d3413825a6a7f","observation_id":"bb0e6a7d-6761-4128-81fe-5c09c7a7fdff","resolution":{"observed_at":"2026-07-08T01:24:27.194698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.162501Z","title":"WavLM: Large-scale self-supervised pre- training for full stack speech processing.IEEE Journal of Selected Topics in Signal Processing, 16(6):1505–1518, 2022","venue":null,"work_id":"2f1eb27a-88da-4aca-adcd-eee5cca898ec","year":2022},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:fb527bf32381377e7ed69b676089f37f4357f4da5715ec12737b1151abf2a2fc","observation_id":"dc59a640-1f06-48b6-ad56-aeb9ee47577d","resolution":{"observed_at":"2026-07-08T01:24:27.164102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.181378Z","title":"A foundation model of vision, audition, and language for in-silico neuroscience","venue":null,"work_id":"b8013471-616d-46ac-a697-abb411208757","year":2026},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:e23da73694034a6e0c1653b59e5a7f6b71b8c9a0934bba4beaa1be043c5c4a29","observation_id":"793c4d28-b742-4cdf-9ea4-b5c65ea41de4","resolution":{"observed_at":"2026-07-08T01:24:27.183040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.132641Z","title":"Hierarchical processing in spoken language compre- hension.Journal of Neuroscience, 23(8):3423–3431, 2003","venue":null,"work_id":"659b40f9-c8f7-4d87-82d1-1dc6db2546d7","year":2003},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:a294f1f75194652e6d521fe6e05595bab676b6ff951b6c51293268776835ea50","observation_id":"373185e9-4acd-4265-936c-b1439a5383bc","resolution":{"observed_at":"2026-07-08T01:24:27.134371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.151016Z","title":"New method for fmri investigations of language: defining rois functionally in individual subjects.Journal of Neurophysiology, 104(2):1177–1194, 2010","venue":null,"work_id":"e7b47d39-6f6c-468f-b30b-bb05d66c828a","year":2010},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:320a6b3baa00707c3c52d97d3b767cbcf0b59414af628aae5e7b3ee1ea17333a","observation_id":"c5ca23d6-b641-4148-a2bc-3c0fef222357","resolution":{"observed_at":"2026-07-08T01:24:27.153024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.185382Z","title":"Freesurfer.NeuroImage, 62(2):774–781, aug 2012","venue":null,"work_id":"ea9cb0d8-5715-49c7-b9c5-4746a3a91e89","year":2012},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:a5f4c5c0325709840fb7664df9f8116bb85e70a7fd21dac2ce9b92af00d6b0da","observation_id":"93f0dfcf-5584-4eb9-9af5-2ad6d6b443ae","resolution":{"observed_at":"2026-07-08T01:24:27.187008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.157622Z","title":"Sereno, Roger B","venue":null,"work_id":"39cb618c-3c25-4c48-b749-33be3c79c456","year":1999},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:3ce3715ade38b99ed3ce814ab329405ae88b42ce81c13c5620c967aebe98ef62","observation_id":"0c154231-9b97-4777-b269-23e95158e3e3","resolution":{"observed_at":"2026-07-08T01:24:27.159270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00504","last_updated":"2025-01-06T14:20:04Z","snapshot_observed_at":"2026-08-01T15:48:59.873936Z","submitted_at":"2024-12-31T15:28:31Z","title":"The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies","version":2},"cited_work":{"arxiv_id":"2501.00504","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.00504","snapshot_observed_at":"2026-07-08T01:24:27.126838Z","title":"arXiv preprint arXiv:2501.00504 , year=","venue":"q-bio.NC","work_id":"04902b75-16b7-486b-ba77-87d35c51a3e4","year":2024},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"cited_paper":"/paper/2501.00504","citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:290f0552134b0c215cdf1f3d27469810172cd499de90a06e942505b17f153b43","observation_id":"7efd46ae-e542-4e92-930c-005138e079a0","resolution":{"observed_at":"2026-07-08T01:24:27.129457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.175146Z","title":"A multi-modal parcellation of human cerebral cortex.Nature, 536(7615):171–178","venue":null,"work_id":"f5d0c295-69ef-4cca-a5e8-cdcb2e2608e7","year":2016},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:7594ecf5bd1d3af8e5ea0c2976d505faec6c3a0620ddd7504cf4a28731f95f53","observation_id":"db961120-5605-4f98-aecd-4ffe989d682e","resolution":{"observed_at":"2026-07-08T01:24:27.177380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.164615Z","title":"The cortical organization of speech processing.Nat","venue":null,"work_id":"1a8e188d-1477-4251-9240-bfb7b3e81b7e","year":2007},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:0db9cf52ec8d87280a7e44f2d72493ff49052b5c46bf0ab6877f9ae33ea05554","observation_id":"a1966b81-cd14-4a45-a9c7-52a20af2fd3c","resolution":{"observed_at":"2026-07-08T01:24:27.166287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.135446Z","title":"LoRA: Low-rank adaptation of large language models","venue":null,"work_id":"54b7493f-a66b-4cdd-9a66-fb6daace70d6","year":2022},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:b8e9898f1975ea21ab8c5c8a8eec4f72ef8347824a1cf9b7200d07df6e9cf197","observation_id":"fc65cac8-0274-4793-a672-1281696d9f1e","resolution":{"observed_at":"2026-07-08T01:24:27.137926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.138185Z","title":"Natural speech reveals the semantic maps that tile human cerebral cortex.Nature, 532(7600):453–458, 2016","venue":null,"work_id":"a3293149-ee84-4a5a-bcdd-b2261062df95","year":2016},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:bdf3d30d852c4b6a2320b608aa51df13192e25ef281e8c8ee0daafe4cf21de46","observation_id":"ce8317a1-28c7-4d52-a529-6bb12d7cba7e","resolution":{"observed_at":"2026-07-08T01:24:27.140145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.154095Z","title":"Incorporating context into language encoding models for fmri.Advances in Neural Information Processing Systems, 31, 2018","venue":null,"work_id":"bf3cca8c-cda3-4a75-aaee-04b07b363e58","year":2018},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:27a8c049330b5ce9992e036449620df022ee112318ab601901acda458bdfe628","observation_id":"05dfe73b-c140-4d12-b407-a24f874aa0a8","resolution":{"observed_at":"2026-07-08T01:24:27.155748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.148174Z","title":"A natural language fmri dataset for voxelwise encoding models.Scientific Data, 10(1):555, 2023","venue":null,"work_id":"d09d2b5c-cee5-4d78-bef8-5e1b57d24c79","year":2023},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:8caa0db94c37924ccc2ef16c1d7b0b479694a36b050d4c47aeadbb46b17abe35","observation_id":"3346719c-bd0a-470d-82de-41ad2c6f4ddf","resolution":{"observed_at":"2026-07-08T01:24:27.150152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.177576Z","title":"Nathan Spreng, Jonathan R","venue":null,"work_id":"a513b877-8145-41d9-9d18-3d873b42e589","year":2022},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:c59f4c9971b26c1d6751ab7774ec6ba9d4674c09e8d551772b862e5914ff3f46","observation_id":"0ef9a434-854b-4fbf-91ed-b8b7111f370e","resolution":{"observed_at":"2026-07-08T01:24:27.179049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.195241Z","title":"Toward a realistic model of speech processing in the brain with self-supervised learning.Advances in Neural Information Processing Systems, 35:33428–33443, 2022","venue":null,"work_id":"0b4eb17d-3fa4-4d83-a017-1b058213e705","year":2022},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:03cca03e9b31e0df7c0d94f449faed2116fb8c637dbf0406997c9baac45cef21","observation_id":"86b3d1ba-f78e-4ad9-8286-828bd6c4986a","resolution":{"observed_at":"2026-07-08T01:24:27.197208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.183267Z","title":"Improving semantic understanding in speech language models via brain-tuning","venue":null,"work_id":"b4fe7058-6cb7-4b76-9d93-0e3313df061f","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:23e6602905381934e261c246f5233e572238d634712e7dee0d8d7e580ad13a4f","observation_id":"ccba429e-c6f0-4511-b455-825e358804c6","resolution":{"observed_at":"2026-07-08T01:24:27.184918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03832","last_updated":"2025-06-04T10:59:11Z","snapshot_observed_at":"2026-07-06T21:36:25.818579Z","submitted_at":"2025-06-04T10:59:11Z","title":"Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain","version":1},"cited_work":{"arxiv_id":"2506.03832","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.03832","snapshot_observed_at":"2026-07-08T01:24:27.108677Z","title":"Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain","venue":"cs.CL","work_id":"bd90e475-cb35-4ca2-9fed-3c7c4bb793cf","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"cited_paper":"/paper/2506.03832","citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:bb90c4fd1426c90cfdc5ea2f6b7bfa62fe3bcfac43170c2e59d9bf92828b5b72","observation_id":"f0e4da14-5a15-4e3a-9c59-0066b9a2a8e3","resolution":{"observed_at":"2026-07-08T01:24:27.116373Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.160201Z","title":"Brain-tuning improves generalizability and efficiency of brain alignment in speech models","venue":null,"work_id":"5200db82-4f20-4eef-8bee-3aa7dee3f551","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:1e8c1fd767ca903c9a1e914db0d7de0fcca4c96637f139f6e3e63a6b93e4021a","observation_id":"790a4197-61a2-44af-b013-e0dbcff784ff","resolution":{"observed_at":"2026-07-08T01:24:27.162091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.187276Z","title":"narratives","venue":null,"work_id":"e6071f6a-b4a2-4953-a0ce-4ab7a45c8764","year":2021},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:4514953a0cd3a344602ed864e2c7db8a3c80796de27a584531261372f63627f0","observation_id":"a2ec1f23-cebe-4309-b0c4-7482725ceddc","resolution":{"observed_at":"2026-07-08T01:24:27.188935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.140649Z","title":"Speech language models lack important brain-relevant semantics.Annual Meeting of the Association for Computational Linguistics (ACL), 2024","venue":null,"work_id":"cfe8921d-608c-456f-90ce-a2182829dcf3","year":2024},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:11297b522f9082f762201814f7b81a775f6033ff42de858bbff26dd17b22d080","observation_id":"55940e43-1f52-44a6-b138-d5ba2275cb87","resolution":{"observed_at":"2026-07-08T01:24:27.143465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.179387Z","title":"The neural architecture of language: Integrative modeling converges on predictive processing.Proceedings of the National Academy of Sciences, 2021","venue":null,"work_id":"3e2ccf81-831c-4d03-8ac6-bfe94505402f","year":2021},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:737aa3b8b352c19db134c088a82e7e9ad08021551a67ed5b2793c54a9706125b","observation_id":"bc10ec41-18e0-4de5-978b-4f1047d0de65","resolution":{"observed_at":"2026-07-08T01:24:27.181013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.170833Z","title":"Identification of a pathway for intelligible speech in the left temporal lobe.Brain, 123(12):2400–2406, 2000","venue":null,"work_id":"1981c25b-742d-432d-af4f-18613b67e55d","year":2000},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:d84aab172e426d84fcc0d97c3fa8c626c90847faf3f0586b3090e49f75c20698","observation_id":"8c9f68b2-6710-4480-8a23-1bd7096e3101","resolution":{"observed_at":"2026-07-08T01:24:27.172571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.166652Z","title":"Cneuromod-things, a densely- sampled fmri dataset for visual neuroscience.Scientific Data, 2026","venue":null,"work_id":"e4f2d4a7-eab2-4b25-83ab-cb2995ad69ec","year":2026},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:bd8dbec7388e5518f562e0c062a8e8add7b51171fc13694c98dfe5ab36b730f8","observation_id":"c0dcdf66-dd5f-4edb-b80d-575f2a65c3ec","resolution":{"observed_at":"2026-07-08T01:24:27.168418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.168729Z","title":"Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain).Advances in Neural Information Processing Systems, 32, 2019","venue":null,"work_id":"68a355ac-03d1-4acd-a3e8-fb7ddcffbc00","year":2019},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:0d070a2818824dfcffa10155bd58aa45f8d544c7004e89e87e85a2a2659a589c","observation_id":"640027b8-5007-4f5e-8ae2-684537b450a3","resolution":{"observed_at":"2026-07-08T01:24:27.170306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.189101Z","title":"Self-supervised models of audio effectively explain human cortical responses to speech","venue":null,"work_id":"501b291a-c585-4231-b6d2-2462c4a9f7a2","year":2022},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:9f43f4769c7c90b996cec35993cb46a19bcdf3fd6b944a2f07380f0aaaba10ca","observation_id":"cc6b70f4-f5da-4940-860b-248d8ded2826","resolution":{"observed_at":"2026-07-08T01:24:27.190662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.172777Z","title":"Vaidya, Richard J","venue":null,"work_id":"27b622a1-4049-4586-b7a7-9222a57298b4","year":2025},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:f35b7a0bfe6ed00ee6edd5fb7d5e9f0eb3235e296e31569f79a837e91e991d5a","observation_id":"b4d81a2a-468c-4f88-a768-128905265d35","resolution":{"observed_at":"2026-07-08T01:24:27.174226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:24:27.129819Z","title":"Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses.PloS One, (11), 2014","venue":null,"work_id":"72427144-7bbe-45e2-ac38-2d26530c546b","year":2014},"citing_paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T01:23:05.666596Z"},"links":{"citing_paper":"/paper/2607.05171"},"observation_digest":"sha256:f6d7c751843e6ce095fede03d252fab9a2d1fe5b9c5b889c1bf408d0c805f2bd","observation_id":"d42d42aa-587f-492e-b818-55a46763d24e","resolution":{"observed_at":"2026-07-08T01:24:27.131559Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05171","last_updated":"2026-07-06T14:54:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-09T23:18:22.104693Z","submitted_at":"2026-07-06T14:54:19Z","title":"RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":3,"verified_fuzzy":28},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.05171."}