{"as_of":"2026-08-18T06:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9a4d74c916ebc6660bddc8fb04d01225275030670f0fb5b76194a0d87a276a3e","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:40:21.462386Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T18:36:25.680448Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T02:59:26.184452Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"cited_work":{"arxiv_id":"2505.21304","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.21304","snapshot_observed_at":"2026-07-04T02:59:26.184452Z","title":"Optimizing fmri data acquisition for decoding natural speech with limited participants","venue":null,"work_id":"168aec95-51bc-4407-a210-feb8bf886a6c","year":2025},"citing_paper":{"arxiv_id":"2606.19081","last_updated":"2026-06-17T13:52:38Z","snapshot_observed_at":"2026-08-07T14:53:19.943043Z","submitted_at":"2026-06-17T13:52:38Z","title":"Retrieval-Based Brain Decoding by Alignment, not Complexity","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T18:36:25.680448Z"},"links":{"cited_paper":"/paper/2505.21304","citing_paper":"/paper/2606.19081"},"observation_digest":"sha256:0935859bc565c66820ebe57098bc7169d5ee96825e41d740e7e476c907d775fb","observation_id":"962c5450-ce35-45a2-9ee7-cb015aef9f64","resolution":{"observed_at":"2026-07-04T02:59:26.186411Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.21304/citation-record","integrity":"/paper/2505.21304/integrity","json":"/paper/2505.21304/citation-record.json","paper":"/paper/2505.21304"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.12056","last_updated":"2024-07-09T08:22:44Z","snapshot_observed_at":"2026-08-18T00:10:45.188908Z","submitted_at":"2024-07-09T08:22:44Z","title":"Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding","version":1},"cited_work":{"arxiv_id":"2407.12056","doi":"10.48550/arxiv.2407.12056","metadata_source":"pith","pith_arxiv_id":"2407.12056","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding","venue":"eess.IV","work_id":"db3acabe-f8f6-4636-94ea-47958c045b29","year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:17.661066Z"},"links":{"cited_paper":"/paper/2407.12056","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:26eab2d915f2984897021db700e80a0e9fa9e9af5a8e96cea1f9c14eaae1c672","observation_id":"8817c171-421a-4345-ab5d-120f393fe3ab","resolution":{"observed_at":"2026-08-07T13:40:22.167885Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:17.819464Z","title":"Akiba, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:17.819464Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:df08206f540aacd6af83a1738b1931d60ff86b8f3b1e3597d868517419a38cbb","observation_id":"6dc2e722-e836-4118-9b2e-3a8220a88a5d","resolution":{"observed_at":"2026-08-07T13:40:17.819464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:17.969298Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:17.969298Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:d414dd9ab9dc85e453efbcd3b01053ac34444b1bdb13a6febefc32824f260f76","observation_id":"3645b000-66fa-414c-b2e7-99a9f0af1240","resolution":{"observed_at":"2026-08-07T13:40:17.969298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:24.148750Z","title":"ascoli d'Ascoli , C","venue":null,"work_id":"36977524-db5d-4eec-be6c-14a53e4a5ffc","year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.035556Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:4735a21540d0c1caf7af7babd62075cd371e8957558b68e67c64416af08c0684","observation_id":"22a4a652-f755-4129-b2ab-666e25cb95c8","resolution":{"observed_at":"2026-08-07T13:40:24.221891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05961","last_updated":"2024-08-21T22:46:05Z","snapshot_observed_at":"2026-08-16T14:02:33.067745Z","submitted_at":"2024-04-09T02:51:05Z","title":"LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05961","snapshot_observed_at":"2026-08-07T13:40:18.209776Z","title":"BehnamGhader, V","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.209776Z"},"links":{"cited_paper":"/paper/2404.05961","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:591a66181564a762395a76c7b322abe37baa2025f08f7f4d799c0374bf869651","observation_id":"6faeae43-7882-4ac2-866a-d8d7d4ec0ae8","resolution":{"observed_at":"2026-08-07T13:40:18.209776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.945098Z","title":null,"venue":null,"work_id":"81c7121c-8701-4096-bbe2-03a9810cbbb9","year":2025},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.330403Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:1a1c23bcd66b8decf35e8de67dbad4be7eff3f1a9ecbc8f5ed8525dcf8052d00","observation_id":"6427b7ed-d540-4180-8e33-cd8be6ee2eb6","resolution":{"observed_at":"2026-08-07T13:40:24.050042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:18.494588Z","title":"Devlin, M.-W","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.494588Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:9002bf17110ddccf83b32d795f4721780f0bdd27ef911c5fc327a9aad1297b57","observation_id":"4cb0f6ce-552e-4011-b02f-e7b6062c8ff8","resolution":{"observed_at":"2026-08-07T13:40:18.494588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.12266","last_updated":"2023-10-05T15:54:11Z","snapshot_observed_at":"2026-08-16T16:36:58.173732Z","submitted_at":"2022-08-25T10:01:43Z","title":"Decoding speech perception from non-invasive brain recordings","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.12266","snapshot_observed_at":"2026-08-07T13:40:18.640382Z","title":"Défossez, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.640382Z"},"links":{"cited_paper":"/paper/2208.12266","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:5806fe954d93d46de9c575d17d5b050a0488fce841d6ec598e3028c5c7e4f85d","observation_id":"9f942eed-5fed-4c43-97d2-366cb839f4a7","resolution":{"observed_at":"2026-08-07T13:40:18.640382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:18.833747Z","title":"Esteban, C","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.833747Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:40ed8b0a68756a17b913cfc6748319889f730868e9f5bbbfc21df80708c1fcce","observation_id":"cd01910f-f2a8-471a-9b36-304f65cdac27","resolution":{"observed_at":"2026-08-07T13:40:18.833747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/science.1164318","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Who \" Is Saying","venue":"Science","work_id":"b7a2ac2e-ce82-4ffb-88e4-f042429761a4","year":2008},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:18.931339Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:7f57ce86c0bc37295f953685b580768d9de0066f17f63954e0ce889302f37768","observation_id":"90765215-14bb-4536-af93-6b26741597e9","resolution":{"observed_at":"2026-08-07T13:40:21.982054Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:19.074831Z","title":"Gelman, J","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.074831Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:1f97812d3d779873439de603cae47c0cc6e7f4a40f863929b4cedbfc2e1690d5","observation_id":"7dbd8974-e247-4975-93f4-cb33cdcbaee2","resolution":{"observed_at":"2026-08-07T13:40:19.074831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:19.208500Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.208500Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:dc2daf9b3b6ea1efbfb6b2f930deda675bdb4578076d2fafd4c072fa8c4e1cb7","observation_id":"b57c6cf9-5b72-4ca5-bad3-429b906e8603","resolution":{"observed_at":"2026-08-07T13:40:19.208500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.641594Z","title":"Kamitani and F","venue":null,"work_id":"6f4eafc4-36fd-40a7-a609-f49936e6e1d6","year":2005},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.314746Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:3e76c42a2446e0f40c18e20da85c4677d96e896e8a3f07258c4a1beb86ce0723","observation_id":"4e1fe495-44da-47c1-a446-d237402c187c","resolution":{"observed_at":"2026-08-07T13:40:23.794188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:19.404749Z","title":"LeBel, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.404749Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:cb9528d52ac1c19a1c02917f9df2981ecac3261cff100a7f67684ea8efe4f1fa","observation_id":"a35ad3b2-f6e8-4c71-8b22-ba6c0abd985f","resolution":{"observed_at":"2026-08-07T13:40:19.404749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.554864Z","title":"Levenshtein","venue":null,"work_id":"f29dc7a2-e9c9-4265-8cea-9b97380c8029","year":1965},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.534808Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:d1da633d26ddb01ae668f2dec35b79ef0c687aa47bc8772576cdce638c501aca","observation_id":"2507d9e1-b903-4d4c-a73b-f7820851bb6d","resolution":{"observed_at":"2026-08-07T13:40:23.612726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:19.608699Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.608699Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:60e100f63cc7c142051f28bc311b7cce36181b82c2d689966be118fb6385ef17","observation_id":"0d6c0b63-533e-4f5d-9dba-5d5cfb54f425","resolution":{"observed_at":"2026-08-07T13:40:19.608699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.409504Z","title":"Mentzelopoulos, E","venue":null,"work_id":"fc9f7be5-1427-41a0-85a0-da76739b2ac0","year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.714992Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:39e8c700e4d307550620880140ba1f9ebf06e08a20ddc23769c42a13835f49d4","observation_id":"cec2c783-c267-4d51-b91b-922860b10819","resolution":{"observed_at":"2026-08-07T13:40:23.473537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09734","last_updated":"2021-11-18T14:49:15Z","snapshot_observed_at":"2026-08-16T17:40:54.088104Z","submitted_at":"2021-11-18T14:49:15Z","title":"ClipCap: CLIP Prefix for Image Captioning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09734","snapshot_observed_at":"2026-08-07T13:40:19.824796Z","title":"Mokady, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.824796Z"},"links":{"cited_paper":"/paper/2111.09734","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:dac99be720ae0f0499101cd434b74b9550ed39b125c609752441e9494b7befa3","observation_id":"c22dbbde-1000-446b-a047-623d6876de8c","resolution":{"observed_at":"2026-08-07T13:40:19.824796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.259285Z","title":"Ogawa, T","venue":null,"work_id":"0d81853b-8332-4ab5-a265-045f7a056fb3","year":1990},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:19.916353Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:7b590f87ad5484c6f43d407ae792ed5a130ece556634b6c492c348220cbdb043","observation_id":"b7c00691-4210-48a9-8aec-697a6fe48cef","resolution":{"observed_at":"2026-08-07T13:40:23.337520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05334","last_updated":"2023-06-21T07:15:19Z","snapshot_observed_at":"2026-08-16T15:49:29.054939Z","submitted_at":"2023-03-09T15:24:26Z","title":"Natural scene reconstruction from fMRI signals using generative latent diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05334","snapshot_observed_at":"2026-08-07T13:40:20.005780Z","title":"Ozcelik and R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.005780Z"},"links":{"cited_paper":"/paper/2303.05334","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:40e3f087f857b1820991655bc097397b41bee6124a86cb98c4d89725c4012019","observation_id":"01090886-3992-4e36-9ecb-85db72dab217","resolution":{"observed_at":"2026-08-07T13:40:20.005780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:23.138289Z","title":"Paszke, S","venue":null,"work_id":"5f1577f1-a7d0-43b4-b2a4-f9f90555c254","year":2019},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.114839Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:1083aab002a05f178ae5765106da557a04cb610201060e03d1d6b6a6f53af8dd","observation_id":"d60a9be5-3c4c-44de-a9d2-5934d746a8b7","resolution":{"observed_at":"2026-08-07T13:40:23.189783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T13:40:23.027220Z","title":"Pedregosa, G","venue":null,"work_id":"75d97d51-4aa6-477b-a39b-9ca2d93adacc","year":2011},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.172074Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:8d5bbc90f8a9598e71ce9a3c3f79fc4ff100f2062fc2ea1414bde120b0c29a19","observation_id":"c8f8a02d-6d4f-40aa-910a-7149824c797d","resolution":{"observed_at":"2026-08-07T13:40:23.073657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-07T13:40:20.290819Z","title":"Radford, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.290819Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:860f2f4b6aa5a932905373c9efb73f919538b25838f8bbf0f50a93957dcf4e54","observation_id":"496e7645-7b93-42a0-946a-556802e14443","resolution":{"observed_at":"2026-08-07T13:40:20.290819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:22.898502Z","title":null,"venue":null,"work_id":"f72271b9-4b4d-495e-b834-77f6d4067ee0","year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.384769Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:6e30a235fc8bebcd459e2bb0105a5b11f8d932678bf086705c1dfca8bd17b9e4","observation_id":"0e7420d9-baa2-449c-a129-a209b3e1832f","resolution":{"observed_at":"2026-08-07T13:40:22.946725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18274","last_updated":"2023-10-07T12:32:15Z","snapshot_observed_at":"2026-08-16T15:28:35.566379Z","submitted_at":"2023-05-29T17:49:00Z","title":"Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18274","snapshot_observed_at":"2026-08-07T13:40:20.475200Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.475200Z"},"links":{"cited_paper":"/paper/2305.18274","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:9ad14f7b593dbe363c0b4e7118ed712fbeb8a873968ba7bfcc8ee9cfc648a3ad","observation_id":"1123e53b-31b3-45f9-9760-7859eff99b59","resolution":{"observed_at":"2026-08-07T13:40:20.475200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11207","last_updated":"2024-06-15T23:07:17Z","snapshot_observed_at":"2026-08-16T14:09:04.818944Z","submitted_at":"2024-03-17T13:15:22Z","title":"MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11207","snapshot_observed_at":"2026-08-07T13:40:20.564769Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.564769Z"},"links":{"cited_paper":"/paper/2403.11207","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:560e253b3614929c3f3a75b818e125b90a809d54a5e82cc8331faeda6dc2d9f6","observation_id":"3a4e7a3a-b4dc-4adf-9c35-97594122dfc8","resolution":{"observed_at":"2026-08-07T13:40:20.564769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.cub.2025.01.024","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Tang and A","venue":"Current Biology","work_id":"f36657d4-9537-494a-b46c-2bb74d5d3c52","year":2025},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.702509Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:30baccc103812c8379ebf48068986c9376425a3923d8df61f6d631654f196b09","observation_id":"1d824e96-4dfa-4256-b1f3-a8282e4e18ec","resolution":{"observed_at":"2026-08-07T13:40:21.801122Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:20.807998Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.807998Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:1be635e9d5586e95ac15fb940eea2f62efdddf746e6df45155469050a0563747","observation_id":"e3a90147-8223-4a85-9a2a-dde249a3f754","resolution":{"observed_at":"2026-08-07T13:40:20.807998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:22.765812Z","title":"Thual, H","venue":null,"work_id":"76b2d041-97f9-406b-ad2e-c1cd2c34f959","year":2022},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:20.941177Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:3a20ace318d8067ea62c510502f4eda91fb4f4c0cfbfea384fb3e030e30c7051","observation_id":"17fdcdae-287e-4516-a1a0-b1aac0779a6a","resolution":{"observed_at":"2026-08-07T13:40:22.831097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06467","last_updated":"2023-12-11T15:55:20Z","snapshot_observed_at":"2026-08-16T14:35:50.432149Z","submitted_at":"2023-12-11T15:55:20Z","title":"Aligning brain functions boosts the decoding of visual semantics in novel subjects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06467","snapshot_observed_at":"2026-08-07T13:40:21.059733Z","title":"Thual, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:21.059733Z"},"links":{"cited_paper":"/paper/2312.06467","citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:495357fba7eafff8688052c7923667b20ce7bd5929321e7eb01228155a5c5572","observation_id":"a709fa25-51d6-47ac-8ced-3ea8ecee1f3d","resolution":{"observed_at":"2026-08-07T13:40:21.059733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:40:21.195579Z","title":"Tuckute, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:21.195579Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:d73d36e274d69cb03d865da0dad19bfb1a4c21540b08657983d4bef1e48255a4","observation_id":"b7d944b2-8f5a-4e71-bee1-7c4dd35bf1ae","resolution":{"observed_at":"2026-08-07T13:40:21.195579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2023.01.21.524489","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"f14e5802-7f0e-40fd-bc66-97c2ab84f913","year":2023},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:21.265000Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:c79301f86e1877d6b4ab23982932827e3da44039b034576f93e9c03f0312bd9f","observation_id":"11ab0f3f-1b47-4fbe-ad95-c9f22e16b8f3","resolution":{"observed_at":"2026-08-07T13:40:21.644781Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T13:40:22.628437Z","title":null,"venue":null,"work_id":"2abe6b9e-69cf-4d4a-ad34-eb0b9f3c4829","year":2019},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:21.360099Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:1f329a23b48369c31af3a6ed58d6160d65252021ce78422b14db17ffc9aa2a0b","observation_id":"bfaa3792-184f-453a-9b96-f273e4ea7a92","resolution":{"observed_at":"2026-08-07T13:40:22.681766Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T13:40:22.494140Z","title":null,"venue":null,"work_id":"b16b75d8-3339-4914-98b5-2c824f919843","year":2025},"citing_paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:40:21.462386Z"},"links":{"citing_paper":"/paper/2505.21304"},"observation_digest":"sha256:acd6023455976c41c43ec8c5220960adb76b3e8bd03cdf7ac5080248adc675d7","observation_id":"fbe46080-c3f1-4eff-b5a7-d03fb0a10daf","resolution":{"observed_at":"2026-08-07T13:40:22.554957Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.21304","last_updated":"2025-05-27T15:06:04Z","latest_version":1,"primary_category":"q-bio.NC","snapshot_observed_at":"2026-08-13T20:35:38.040463Z","submitted_at":"2025-05-27T15:06:04Z","title":"Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":4,"verified_fuzzy":8},"total_outbound_references":34},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.21304."}