{"as_of":"2026-08-17T04:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:754cd7a525fba6dca7e23224927ef35402a4e528e7a4735cefe5aabda33721cf","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:31:33.115721Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2608.09331/citation-record","integrity":"/paper/2608.09331/integrity","json":"/paper/2608.09331/citation-record.json","paper":"/paper/2608.09331"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15537","last_updated":"2024-06-21T17:11:45Z","snapshot_observed_at":"2026-08-16T13:40:40.189064Z","submitted_at":"2024-06-21T17:11:45Z","title":"R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity","version":1},"cited_work":{"arxiv_id":"2406.15537","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15537","snapshot_observed_at":"2026-08-15T14:31:33.222260Z","title":"R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity","venue":"q-bio.NC","work_id":"b37f701e-d681-49c9-a3ed-2f6bd7e5f259","year":2024},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.061487Z"},"links":{"cited_paper":"/paper/2406.15537","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:eef520c43d6dba0c52b999f6df399fc3b5777922ade8349a886944cf4ea33c47","observation_id":"15953781-f9da-46c7-9138-e01fdf17b438","resolution":{"observed_at":"2026-08-15T14:31:33.227622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:31:33.249862Z","title":"All runs use a single GPU per job; we release seeds, code, and configurations","venue":null,"work_id":"460aa871-eea9-47be-a506-e7bef7af1085","year":2006},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.115721Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:576f0af3ed57b1c7ef968318e05b99721c09979b019bd2e41053e747e76f4397","observation_id":"f91a2cf7-8cdc-459b-a4fd-70c23f2011ce","resolution":{"observed_at":"2026-08-15T14:31:33.252856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18726","last_updated":"2024-05-29T03:16:14Z","snapshot_observed_at":"2026-08-16T13:48:22.052846Z","submitted_at":"2024-05-29T03:16:14Z","title":"Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18726","snapshot_observed_at":"2026-08-15T14:31:33.084043Z","title":"Flow matching for generative modeling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.084043Z"},"links":{"cited_paper":"/paper/2405.18726","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:36c353ba89265c9bea317e09292adcc8e44f6458998d2bc04b10d3d62a2c8fa9","observation_id":"cd19a76c-2961-4ee6-addc-f05b3317e850","resolution":{"observed_at":"2026-08-15T14:31:33.084043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11629","last_updated":"2023-06-20T15:59:09Z","snapshot_observed_at":"2026-08-16T15:22:30.818611Z","submitted_at":"2023-06-20T15:59:09Z","title":"Sound reconstruction from human brain activity via a generative model with brain-like auditory features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11629","snapshot_observed_at":"2026-08-15T14:31:33.090891Z","title":"Sound reconstruction from human brain activity via a generative model with brain-like auditory features.arXiv preprint arXiv:2306.11629,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.090891Z"},"links":{"cited_paper":"/paper/2306.11629","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:30735eadf1cdd28a9db63a5c668f6d89e257b2c9fe3ee6e48d11e2cb58855e4b","observation_id":"631ea216-562f-4a62-9833-e69b1f3728ff","resolution":{"observed_at":"2026-08-15T14:31:33.090891Z","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":"2026-08-15T14:31:33.297165Z","title":"Naturalistic music decoding from eeg data via latent diffusion models","venue":null,"work_id":"612211e8-8d52-4735-9bbe-94c9adcfdc6c","year":2025},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.094503Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:ed074078870493a1f6bd5bdaa6810668d43d90ce1de6a324efcbbcc622947435","observation_id":"c55dcb7a-33ed-4f43-aec5-c1f35b5c4f74","resolution":{"observed_at":"2026-08-15T14:31:33.300671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10792","last_updated":"2024-10-14T17:56:24Z","snapshot_observed_at":"2026-08-16T13:09:29.530620Z","submitted_at":"2024-10-14T17:56:24Z","title":"Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10792","snapshot_observed_at":"2026-08-15T14:31:33.097998Z","title":"Semantic image inversion and editing using rectified stochastic differential equations.arXiv preprint arXiv:2410.10792,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.097998Z"},"links":{"cited_paper":"/paper/2410.10792","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:cdc266ae5b8d987fef3b47ff77e399c732184b1544ca30c3a084050b500ffd5a","observation_id":"7abfc2ce-ba65-43cf-a988-032e3a32cc9e","resolution":{"observed_at":"2026-08-15T14:31:33.097998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-15T14:31:33.100647Z","title":"Denoising diffusion implicit models.arXiv preprint arXiv:2010.02502, 2020a","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.100647Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:7c8da61466486a0a86b4ff2e0028aa81f80c17d9284739a1c3725e62a10f3afe","observation_id":"fb15e72a-936c-491a-8cb4-d51b15c1414f","resolution":{"observed_at":"2026-08-15T14:31:33.100647Z","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":"2026-08-15T14:31:33.277094Z","title":"InICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 581–585","venue":null,"work_id":"04828d6b-43f6-4fe0-a9da-80769da9c2d9","year":2024},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.106261Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:a1d7a7290bee10260bc90189671fbb575e038cfb287014093938d1a56a4c736c","observation_id":"faae08bd-38de-4313-acbf-0952299b5cc6","resolution":{"observed_at":"2026-08-15T14:31:33.281092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:31:33.267663Z","title":"Voxels are selected by the relevance score of Eq","venue":null,"work_id":"282e1060-1129-415e-894e-5cb9ad822a1c","year":2000},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.108830Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:60b11518b0cfde1717d6514d7287d45547455682cc958281bdfc3ae099227b81","observation_id":"9f3f6107-4cdc-4780-bdb4-fed3b508558e","resolution":{"observed_at":"2026-08-15T14:31:33.271146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:31:33.258356Z","title":null,"venue":null,"work_id":"01af3d80-abda-4f17-8e14-a8a34730b7bf","year":2023},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.112186Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:64026c1bc6920f8533064c8c3d5267c09dd7258add4a80e8f61011a9a05962b3","observation_id":"8b9f4285-bbb7-48d8-8c67-fceb1a939563","resolution":{"observed_at":"2026-08-15T14:31:33.260997Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T14:31:33.287004Z","title":"Large- scalecontrastivelanguage-audiopretrainingwithfeaturefusionandkeyword-to-captionaugmentation","venue":null,"work_id":"398f57f2-19d3-412b-978e-118d03fcb3f9","year":2023},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.103376Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:26ea03e3968342b8a8597aa2ee70f12ae048071402920a566fb38fa07be7815c","observation_id":"a8bcd3fa-75c2-4a23-af11-12acdbc8bfd8","resolution":{"observed_at":"2026-08-15T14:31:33.290555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-15T14:31:33.087476Z","title":"Representation learning with contrastive predictive coding.arXiv preprint arXiv:1807.03748,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.087476Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:c32578750e0d282306c44e906e70bd8bf18b15c94953e516fc5109954f046ae4","observation_id":"f327e459-0a56-4a55-91c7-b1eb931814bc","resolution":{"observed_at":"2026-08-15T14:31:33.087476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-15T14:31:33.065281Z","title":"Classifier-free diffusion guidance.arXiv preprint arXiv:2207.12598,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.065281Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:e048eb7c87fb920206ff6736686aae774a05065761d33cb62201336cfb8b2d9a","observation_id":"76e2f7ae-a213-4a98-97ba-d5988574f3ab","resolution":{"observed_at":"2026-08-15T14:31:33.065281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00172","last_updated":"2020-02-15T01:04:52Z","snapshot_observed_at":"2026-08-14T15:36:39.875900Z","submitted_at":"2019-11-01T01:09:53Z","title":"Generalization through Memorization: Nearest Neighbor Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.00172","snapshot_observed_at":"2026-08-15T14:31:33.080205Z","title":"Generalization through memorization: Nearest neighbor language models.arXiv preprint arXiv:1911.00172,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.080205Z"},"links":{"cited_paper":"/paper/1911.00172","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:1f1efaf3d0b7f3b75b200d4ed475c9fb81aefb6e2d5d084a14ae22140a909753","observation_id":"8623388b-53e2-4a02-9208-178b7e7b416b","resolution":{"observed_at":"2026-08-15T14:31:33.080205Z","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":"2026-08-15T14:31:33.306297Z","title":"A reproducibleevaluationofantssimilaritymetricperformanceinbrainimageregistration.Neuroimage, 54(3):2033–2044,","venue":null,"work_id":"51a47a5d-e073-4cb0-8b86-02658a9b8d39","year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.049810Z"},"links":{"citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:38197c80f58571a9d9244b62d2b0b5b2ffb3950233922003353caa2180185d66","observation_id":"c98d25d5-f84b-4ccd-93d5-c08a0327acc1","resolution":{"observed_at":"2026-08-15T14:31:33.309439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.12415","last_updated":"2022-08-26T03:13:21Z","snapshot_observed_at":"2026-08-16T16:36:45.618823Z","submitted_at":"2022-08-26T03:13:21Z","title":"MuLan: A Joint Embedding of Music Audio and Natural Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.12415","snapshot_observed_at":"2026-08-15T14:31:33.068931Z","title":"Mulan: A joint embedding of music audio and natural language.arXiv preprint arXiv:2208.12415,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.068931Z"},"links":{"cited_paper":"/paper/2208.12415","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:3f5113037f824e9a7582cb51c128fa3c4604f0f70b38ed95e53c0520607d8058","observation_id":"cf641d0e-a57a-47c5-8ce3-f0142017edbf","resolution":{"observed_at":"2026-08-15T14:31:33.068931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.02938","last_updated":"2021-09-15T04:03:34Z","snapshot_observed_at":"2026-08-16T18:04:54.239880Z","submitted_at":"2021-08-06T04:43:13Z","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.02938","snapshot_observed_at":"2026-08-15T14:31:33.057776Z","title":"Matteo Ciferri, Matteo Ferrante, and Nicola Toschi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.057776Z"},"links":{"cited_paper":"/paper/2108.02938","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:4abf68bf26e476b6ac2ef00f4186603bfb5b5d7e645f0d2b0ac77d807354aaf5","observation_id":"ba42d906-9e4e-4582-952e-85cf019162ac","resolution":{"observed_at":"2026-08-15T14:31:33.057776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21037","last_updated":"2025-04-10T05:01:32Z","snapshot_observed_at":"2026-08-10T23:01:20.648881Z","submitted_at":"2024-12-30T16:02:44Z","title":"TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21037","snapshot_observed_at":"2026-08-15T14:31:33.072606Z","title":"Tangoflux: Super fast and faithful text to audio generation with flow matching and clap-ranked preference optimization.arXiv preprint arXiv:2412.21037,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.072606Z"},"links":{"cited_paper":"/paper/2412.21037","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:0b00ee9715538dd76a96fb6f7b6ca73e3f8e46c3a313bc94ca740a17b348f94d","observation_id":"bd754d77-51d1-4097-8c07-6c7d782b2fed","resolution":{"observed_at":"2026-08-15T14:31:33.072606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11824","last_updated":"2022-10-24T17:59:04Z","snapshot_observed_at":"2026-08-16T17:04:43.697187Z","submitted_at":"2022-04-25T17:55:26Z","title":"Semi-Parametric Neural Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11824","snapshot_observed_at":"2026-08-15T14:31:33.053391Z","title":"Semi-parametric neural image synthesis.arXiv preprint arXiv:2204.11824,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.053391Z"},"links":{"cited_paper":"/paper/2204.11824","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:a77b44468242ef08bd2f09512386ecd35477db99fef2bf914ff7451a97e6b2ee","observation_id":"78dda31a-9d51-4d7e-a908-6d3c9450a228","resolution":{"observed_at":"2026-08-15T14:31:33.053391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18211","last_updated":"2024-07-18T03:22:37Z","snapshot_observed_at":"2026-08-16T14:06:03.496438Z","submitted_at":"2024-03-27T02:42:52Z","title":"NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18211","snapshot_observed_at":"2026-08-15T14:31:33.075993Z","title":"Neuropictor: Refining fmri-to-image reconstruction via multi-individual pretraining and multi-level modulation.arXiv preprint arXiv:2403.18211,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:33.075993Z"},"links":{"cited_paper":"/paper/2403.18211","citing_paper":"/paper/2608.09331"},"observation_digest":"sha256:ef4305a26bbc54cac0ab44b9f293e1b332f44bec7fb61a8322635f8b6565c92c","observation_id":"50ff15a6-0c11-47fc-8a0b-479e69d91a6f","resolution":{"observed_at":"2026-08-15T14:31:33.075993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.09331","last_updated":"2026-08-10T09:10:15Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-15T19:06:49.417145Z","submitted_at":"2026-08-10T09:10:15Z","title":"RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":6},"total_outbound_references":20},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.09331."}