{"as_of":"2026-08-23T20:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3757b0f9fcb8e739b27253ecc3a45daecae0a67d329d77d787e11aa91192b9bb","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:51:08.605262Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2507.09806/citation-record","integrity":"/paper/2507.09806/integrity","json":"/paper/2507.09806/citation-record.json","paper":"/paper/2507.09806"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:51:09.252803Z","title":"Virtual reality for architectural acoustics,","venue":null,"work_id":"66a955d7-cc7c-4dcb-8e7d-f3544297188f","year":2015},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.427653Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:f562a7d3ec79b0b17f20402a14454465c5433cc43ac0fbddc4594ecdcae77e26","observation_id":"fd6a2b12-2fc7-427a-8c2b-945ef6cab2d7","resolution":{"observed_at":"2026-08-06T17:51:09.256711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.238756Z","title":"A survey of sound source localization methods in wireless acoustic sensor networks,","venue":null,"work_id":"deaefc20-3192-4fa9-b24c-0ca67e5b8ad0","year":2017},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.432118Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:2306c9bf9dc67adadaf4005ec955b755d4206d2658d45d5a5e07f4c225297c5b","observation_id":"5c19760c-a0a9-4690-b843-06458d49a9d1","resolution":{"observed_at":"2026-08-06T17:51:09.243224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.224756Z","title":"Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations,","venue":null,"work_id":"54a94151-ac32-412f-a5db-b439d0c50c44","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.436146Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:d31c9a0af784343386347a6721dcbcae3b2149c70613eab2529e5bd86839390f","observation_id":"238a0f15-0da8-46ad-82c4-ea096693fc7f","resolution":{"observed_at":"2026-08-06T17:51:09.229005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.210948Z","title":"A consoli- dated perspective on multimicrophone speech enhancement and source separation,","venue":null,"work_id":"a5000dc6-5055-4674-9743-1cd1ec8ff9df","year":2017},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.440726Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:a43d6699c75c50075599c9b37ff74aef26d47235754450065b2d3d26fc809af6","observation_id":"45ee47b5-308d-4985-aa08-f75179e4893a","resolution":{"observed_at":"2026-08-06T17:51:09.215278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.197274Z","title":"Acoustic imaging with circular microphone array: A new approach for sound field analysis,","venue":null,"work_id":"3bb6bf7a-9a52-4fee-b8b1-b2d402ab30fc","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.444947Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:1a5d9f8e1f26ae6f59a1452119a60fa51f07b0982a4df6259f270c4e1434e951","observation_id":"6adef1e1-9757-48be-a957-a00b3113521e","resolution":{"observed_at":"2026-08-06T17:51:09.201640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.183009Z","title":"Para- metric ambisonic encoding of arbitrary microphone arrays,","venue":null,"work_id":"3d6ca7bd-c69a-4748-ad9e-6da747258725","year":2022},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.448874Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:26510afda55cb10ea77c8bfc81fbaad8e9bec9a5d61ed3c9d746f527efd922eb","observation_id":"9828bb39-863e-4194-af52-e6847eaffb57","resolution":{"observed_at":"2026-08-06T17:51:09.187648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.168785Z","title":"Deep, data-driven modeling of room acoustics: literature review and research perspectives,","venue":null,"work_id":"7ed6b4b4-5e00-4d63-8217-0849bf5c4ef4","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.453466Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:7cc5e4a3722fdf54256f1f955b79684151fd33aef2f16af27e8bdfb3644a0d8e","observation_id":"df89b777-8391-4b7a-9128-e03fae269f38","resolution":{"observed_at":"2026-08-06T17:51:09.173221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.154665Z","title":"Sound field reconstruction in rooms: Inpainting meets super-resolution,","venue":null,"work_id":"99c793ed-699b-42d7-b7fe-21e35fa60622","year":2020},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.457335Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:c237a67c6e98da58be4598689fd4e7919118911f9b5962bbbb62fa53c34a0a36","observation_id":"e37cee3a-fdb8-4c47-bbb5-c965ca5b557c","resolution":{"observed_at":"2026-08-06T17:51:09.158893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.139894Z","title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,","venue":null,"work_id":"0c41ce7d-369a-44ec-a933-e6aa4c2877cd","year":2019},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.461110Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:44044382be17896dc698222cfcc5ef28157f2bc9e88fc81bcd9dafb7dc18977e","observation_id":"f3f12bf6-f008-417c-b9c2-e706644270f9","resolution":{"observed_at":"2026-08-06T17:51:09.144486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.126317Z","title":"Scientific machine learning through physics–informed neural networks: where we are and what’s next,","venue":null,"work_id":"d828f1f9-90f3-4be3-a2cb-2a5068d7c901","year":2022},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.465201Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:2887de6c85348ce55489841692cc0f4216176c0746a2fea95d76d9f4ccd3a895","observation_id":"5dae913c-53fc-42d3-8b60-d1945e2d3f86","resolution":{"observed_at":"2026-08-06T17:51:09.130324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.112739Z","title":"Koyama, J","venue":null,"work_id":"fc877bc3-451c-4e26-bfd5-ebb3262522f4","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.468871Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:c83afb5cfc8ce80d4129593f48b1d53f3caaf27140f752ce17f6b2677f910c0a","observation_id":"607cae36-9cd3-40d7-bf4c-3233f24c38bf","resolution":{"observed_at":"2026-08-06T17:51:09.116896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.097912Z","title":"Physics- informed convolutional neural network with bicubic spline interpolation for sound field estimation,","venue":null,"work_id":"b93c4331-28ea-4cfe-b191-0ec47808093c","year":2022},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.472901Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:7164b8b8e8fe974eb1852d8dbf237f20d9975d434a4ef2b377911698a3e9fb57","observation_id":"5d60b0ef-4ca1-4c2b-84c4-8e0dfae1860c","resolution":{"observed_at":"2026-08-06T17:51:09.102539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.082860Z","title":"Physics-informed neural network for volumetric sound field reconstruction of speech signals,","venue":null,"work_id":"02076596-93ca-4fa1-9709-2382cc247664","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.476781Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:9a93fa20040c8fb96256e03ed32495454fe17bf5104f9755d556211e65242265","observation_id":"ec7946d1-2ce6-4d12-ba42-14b1fc93f9e7","resolution":{"observed_at":"2026-08-06T17:51:09.087121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.069268Z","title":"Point neuron learning: a new physics- informed neural network architecture,","venue":null,"work_id":"b36e2150-6246-4bff-b659-f24fdf97706a","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.480475Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:5db625f8a49f6a03d39800f638bc47fe6261a929e3a446a536b658a0698f77c3","observation_id":"e5ebb8f1-b5f0-4ec9-94ba-964a66570582","resolution":{"observed_at":"2026-08-06T17:51:09.073733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01206","last_updated":"2024-01-02T13:26:09Z","snapshot_observed_at":"2026-08-16T14:30:19.401504Z","submitted_at":"2024-01-02T13:26:09Z","title":"Room impulse response reconstruction with physics-informed deep learning","version":1},"cited_work":{"arxiv_id":"2401.01206","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01206","snapshot_observed_at":"2026-08-06T17:51:08.688746Z","title":"Room impulse response reconstruction with physics-informed deep learning","venue":"eess.AS","work_id":"01bfe8ae-ce3c-4c0b-8be2-9432c1ce1608","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.484284Z"},"links":{"cited_paper":"/paper/2401.01206","citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:e5ce7cb14fa8c19dc63a51a5df5b4464a86b7767f391761915f3f357cf604000","observation_id":"bfb04bf6-7749-4948-86dd-d0115d193edb","resolution":{"observed_at":"2026-08-06T17:51:08.695352Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.055981Z","title":"Physics-informed neural network assisted spherical microphone array signal processing,","venue":null,"work_id":"ffddf999-3f77-48f2-8f93-9409541c34e1","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.488463Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:51b3c1cb62e42aaed5150a062d23b09c3cab0fea91d1ac135e45f38711afe0a3","observation_id":"0910b27e-867c-4e1f-8878-295ccb14b751","resolution":{"observed_at":"2026-08-06T17:51:09.060132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.042745Z","title":"Generative models for sound field reconstruction,","venue":null,"work_id":"e3ff2a64-b16b-4194-a5ef-c125caf10716","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.492420Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:81f278e0be8b14dc942e8ea6e45b3ee5a1f7041e9d0cdbaf93722403574a4597","observation_id":"1fad824c-1757-41b1-b1e2-37adffd0abaa","resolution":{"observed_at":"2026-08-06T17:51:09.046946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:09.028815Z","title":"Generative adversarial networks with physical sound field priors,","venue":null,"work_id":"68290f8d-ab8f-4f19-82fe-165c6adb7b51","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.496253Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:f551e6042336a1406a346826cfa92074471d669d07f4034193805bb9af3032f3","observation_id":"d5ba4700-b1d8-4848-bf7d-f24b5b4b4eb7","resolution":{"observed_at":"2026-08-06T17:51:09.032962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.499973Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.499973Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:6116dad9461bcb82be122a70b09d6fee8049e9de711660c0666183274b67aede","observation_id":"c17bf63e-259c-4b30-8f2d-5bb3fcad87b6","resolution":{"observed_at":"2026-08-06T17:51:08.499973Z","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":"2026-08-06T17:51:09.005917Z","title":"Diffusion models for audio restoration: A review,","venue":null,"work_id":"3b9b1a0b-21b5-41a3-beeb-e66897366dad","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.504122Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:0847d9e4dc82874425b9f345fb19ce58c794d7097701f9d262f752fbdc8b119c","observation_id":"79412af3-ef4d-4b1e-9066-8712110a922e","resolution":{"observed_at":"2026-08-06T17:51:09.009963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.992304Z","title":"Buddy: Single-channel blind unsupervised dereverberation with diffusion models,","venue":null,"work_id":"88e6a161-d9df-44f7-8cef-a205e20369e9","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.507795Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:bdc426a2cbf8edfad7f299b64bfb6a1d966a0e498a8db4edc07cc9fddb23aa18","observation_id":"e74bd024-edb0-4333-958d-39bf63009de6","resolution":{"observed_at":"2026-08-06T17:51:08.996494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.979137Z","title":"Towards hrtf personalization using denoising diffusion models,","venue":null,"work_id":"a3617f1d-6b61-4acf-80e8-78c68c72b75a","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.511643Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:7e7b1f17c31262d471dd2de7fb0cb3275966d8a683e64b2ef823731444840a31","observation_id":"be073fb9-ee01-4495-9897-363dbcbd220d","resolution":{"observed_at":"2026-08-06T17:51:08.983218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.965377Z","title":"Hrtf estimation using a score-based prior,","venue":null,"work_id":"a3947278-da62-4478-9ab0-a56d166168b2","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.515481Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:ca6b68eca6ede91f9d4d331332660fb1ceca8bf2bd10de12a14a753787e5fda5","observation_id":"8815cfbf-36ad-4586-8bf8-f1a945fa6c31","resolution":{"observed_at":"2026-08-06T17:51:08.969654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.952024Z","title":"Diffusion-based audio inpainting,","venue":null,"work_id":"b2a82b9b-a871-47e2-8be9-6088d4a21e03","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.519429Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:612c821b628a33ab20e823d29e3865a3f24a7fac5d5184be01d2d8b6a346ad40","observation_id":"7da6e6b7-7926-4cf7-a488-f31f119d6665","resolution":{"observed_at":"2026-08-06T17:51:08.956074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.939201Z","title":"Reconstruction of sound field through diffusion models,","venue":null,"work_id":"5b9a1f8e-db32-46e4-88e2-0d7416fea90d","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.523485Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:811b396dd999a4f5a4e8fc33c0c7109267e311266a59a24bc4ef5005a5165dde","observation_id":"c4eeb11b-1a6e-4f00-b2b9-4e6a7a190b87","resolution":{"observed_at":"2026-08-06T17:51:08.943204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.925547Z","title":"Blind spatial impulse response generation from separate room-and scene-specific information,","venue":null,"work_id":"1ac4c43d-ff2e-4a25-8266-92f0f54b0f96","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.527595Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:78fa9709cc30cd50653612598875dedde1a1b8121e4f66b7d0779094ec4f1184","observation_id":"74ee2d81-9483-4a12-bedf-23ebb7ad52b8","resolution":{"observed_at":"2026-08-06T17:51:08.929830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.911766Z","title":"Diffusionrir: Room impulse response interpolation using diffusion models,","venue":null,"work_id":"1161ad65-5ed5-4cf4-b606-7a469c5de29f","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.531881Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:b61f7b27d6322090bb0e5e23d93e7618e3106d831ccbe762a94ad5ef095c57ca","observation_id":"3a423599-2241-4533-9135-317ce0de8f71","resolution":{"observed_at":"2026-08-06T17:51:08.916197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.897708Z","title":"Deep image prior,","venue":null,"work_id":"f9540537-1e22-4feb-990d-47d127347f16","year":2018},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.535835Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:525074f423dd669cad52f75847a7b87683cb38e73b9eb09f71f4242dfae4afc5","observation_id":"fac17ba4-cf5a-42fd-838c-2717f138824b","resolution":{"observed_at":"2026-08-06T17:51:08.901695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.883593Z","title":"Deep prior-based unsupervised reconstruction of irregularly sampled seismic data,","venue":null,"work_id":"972ece2b-7f21-434e-866b-9adb4a739bd5","year":2020},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.539810Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:8bae562f2fd4f18328f06225b60ad24acb40520af0b5792f53e4cd7750e4adfa","observation_id":"b7deaa07-9177-4f9b-8736-85366a0ac4ab","resolution":{"observed_at":"2026-08-06T17:51:08.887882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.869589Z","title":"Prediction of missing frequency response functions through deep image prior,","venue":null,"work_id":"e36b4047-e413-470e-84df-b26a42883d73","year":2021},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.543985Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:1ddc24df59c097f870eb7808a7aa52cc487073b57d4edef6b834bc88d2e1d911","observation_id":"16093ebc-61a9-4bcd-b949-de0781e0a585","resolution":{"observed_at":"2026-08-06T17:51:08.873848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.854955Z","title":"Deep prior-based audio inpainting using multi-resolution harmonic convolutional neural networks,","venue":null,"work_id":"82aa25a4-6a26-40e4-b92e-a36df78620cb","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.547884Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:d3b7d06007a92467d6271059461a237d1324afff473b56e778819a198326c823","observation_id":"68ce17cf-a707-49ee-8732-70a85337d0a8","resolution":{"observed_at":"2026-08-06T17:51:08.859585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.841035Z","title":"Noise2inverse: Self-supervised deep convolutional denoising for tomography,","venue":null,"work_id":"d5a09a9d-5ce7-400f-90f4-1b02ef7b9259","year":2020},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.551960Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:d750ff7a776da0a6255a8bdea130a9111784c9b35032cb6bb1b4832dfda57739","observation_id":"ef88d8e8-aea9-48b2-8715-bc414c3a8243","resolution":{"observed_at":"2026-08-06T17:51:08.845393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.555789Z","title":"Deep prior approach for room impulse response reconstruction,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.555789Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:fb2fca070d66132ae386d4dfb16b111c2577f0c1ce766518e28c1d75831deacc","observation_id":"1f9eded1-06c7-4386-b2df-3939f087ab33","resolution":{"observed_at":"2026-08-06T17:51:08.555789Z","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":"2026-08-06T17:51:08.816733Z","title":"Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities,","venue":null,"work_id":"851ed8c6-bec5-46e2-9985-6c6b9ab29094","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.559602Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:8ad874e3aaf285e03d58ad2cfd08f01a43786dec0bbe19bf3994df7db18625ea","observation_id":"fcb86a27-fca9-42a1-b7f7-e5e9e9f9abb9","resolution":{"observed_at":"2026-08-06T17:51:08.821126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.563524Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.563524Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:32798ecd546cd69611fa45eafa70cdede15d8647dcc35fac27811d072c16a3be","observation_id":"c9e37b5b-76ab-4a00-a075-f9925f2c1cff","resolution":{"observed_at":"2026-08-06T17:51:08.563524Z","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":"2026-08-06T17:51:08.792247Z","title":"Niirf: Neural iir filter field for hrtf upsampling and personalization,","venue":null,"work_id":"089424ad-308e-4aab-8a34-a51e12724941","year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.567672Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:41755cd49430ee3f6ec4cd4f459675f87a5c5ce4e7770fc8dd83463f396f0c48","observation_id":"036418c8-8944-44a9-bbfd-1bfa7ddb6d8b","resolution":{"observed_at":"2026-08-06T17:51:08.797094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13617","last_updated":"2025-05-19T18:01:53Z","snapshot_observed_at":"2026-08-18T15:31:37.479489Z","submitted_at":"2025-05-19T18:01:53Z","title":"Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13617","snapshot_observed_at":"2026-08-06T17:51:08.571827Z","title":"Direction- aware neural acoustic fields for few-shot interpolation of ambisonic impulse responses,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.571827Z"},"links":{"cited_paper":"/paper/2505.13617","citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:340ca1887db0c02e6d6c686ebf202991781eec276937264254e8021f29d34ab1","observation_id":"6be5d135-bdec-4a39-a0ea-f88c082bd9fe","resolution":{"observed_at":"2026-08-06T17:51:08.571827Z","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":"2026-08-06T17:51:08.778439Z","title":"Sparse representation of a spatial sound field in a reverberant environment,","venue":null,"work_id":"b186ecab-b91c-4c3a-ab36-c3a635c25347","year":2019},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.576335Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:fc25123857f50a380a6742ee63e4568518b630b3c9d74fe52858099eedb81803","observation_id":"6544d8e2-2aca-4953-ac27-bbcc7bb3bb29","resolution":{"observed_at":"2026-08-06T17:51:08.782704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.762955Z","title":"Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations,","venue":null,"work_id":"0e3f5ccc-8cc7-41b1-b5fb-6d28724826de","year":2023},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.580316Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:64c1989466dbe3a23094e066d7d7224083ede39d6168bec6b0410ec3b84e6052","observation_id":"94a7dd72-b186-4a78-bcb1-07e2a356a58a","resolution":{"observed_at":"2026-08-06T17:51:08.767717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.749082Z","title":"A zero-shot physics-informed dictionary learning approach for sound field reconstruction,","venue":null,"work_id":"b1ed9fd4-aa89-4260-8bdb-3c218c3dc3a3","year":2025},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.584266Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:828cd7df4a67e1c7077dcf4419eafca439a8b385490309e2a15df53e5a5a2841","observation_id":"acd328ef-9795-4d7c-b2c9-1c20ad6d68f2","resolution":{"observed_at":"2026-08-06T17:51:08.753339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16954","last_updated":"2024-11-23T02:35:18Z","snapshot_observed_at":"2026-08-21T18:45:32.250072Z","submitted_at":"2024-10-22T12:33:45Z","title":"LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16954","snapshot_observed_at":"2026-08-06T17:51:08.588233Z","title":"Lora-c: Parameter- efficient fine-tuning of robust cnn for iot devices,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.588233Z"},"links":{"cited_paper":"/paper/2410.16954","citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:256d65b2fbeed6297907a20dd6b6e7932f444449c6e55d4ec3902a4a8390e407","observation_id":"5b958a90-74e3-4bf1-8b78-64ada08143f4","resolution":{"observed_at":"2026-08-06T17:51:08.588233Z","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":"2026-08-06T17:51:08.735029Z","title":"Multiresunet : Rethinking the u-net architecture for multimodal biomedical image segmentation,","venue":null,"work_id":"67ed80b3-87d0-44e3-b03d-0e0041c61654","year":2020},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.592895Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:99d3e510b308fa8a3d6b92589b64c99ec1936d46d7ed95cfb361d028420cd7b8","observation_id":"36104c85-8b74-403b-81c8-d36fa1b94815","resolution":{"observed_at":"2026-08-06T17:51:08.739686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-06T17:51:08.596909Z","title":"Decoupled weight decay regularization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.596909Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:eeef9652eeef3b4aceb8af338d3cc309604d326ce198dea4449430eb34482c30","observation_id":"8e3e05e5-089b-4eaf-965f-2053ac0a78ea","resolution":{"observed_at":"2026-08-06T17:51:08.596909Z","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":"2026-08-06T17:51:08.720328Z","title":"Ray-space-based multichannel nonnegative matrix factorization for audio source separation,","venue":null,"work_id":"fbaf1835-e0ea-4921-a4de-af71f7e421bd","year":2021},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.601319Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:813c53ef144f67a6ab5bb2cd0a06f86d7cc7f61b041fa7f0603116d237a67d78","observation_id":"65eb0c5a-96eb-4b03-a5b6-7308b908a9a8","resolution":{"observed_at":"2026-08-06T17:51:08.724964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T17:51:08.705693Z","title":"Compressed sensing of impulse responses in rooms of unknown properties and contents,","venue":null,"work_id":"79cce81e-e68b-4759-bcec-16ab21c94b47","year":2019},"citing_paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T17:51:08.605262Z"},"links":{"citing_paper":"/paper/2507.09806"},"observation_digest":"sha256:ecae2951c9ed77062dc9304fc6427c2a70ef31bbd05ba97746f4f3eaf8517c76","observation_id":"550b7036-1a50-4f15-977b-c5f0f4f8c14b","resolution":{"observed_at":"2026-08-06T17:51:08.710178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.09806","last_updated":"2025-07-13T21:51:32Z","latest_version":1,"primary_category":"eess.AS","snapshot_observed_at":"2026-08-16T23:53:13.997463Z","submitted_at":"2025-07-13T21:51:32Z","title":"Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":45},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.09806."}