{"as_of":"2026-08-18T02:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85fa23bb0a487168dee7dae077d1c81fb57698a5b49824f0e6a80f95fec29dc1","coverage":[{"denominator":140,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:20:17.803748Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2508.14118/citation-record","integrity":"/paper/2508.14118/integrity","json":"/paper/2508.14118/citation-record.json","paper":"/paper/2508.14118"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.04368","last_updated":"2024-11-07T01:58:42Z","snapshot_observed_at":"2026-08-17T10:08:57.374438Z","submitted_at":"2024-11-07T01:58:42Z","title":"Measuring short-form factuality in large language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04368","snapshot_observed_at":"2026-08-15T17:20:17.413030Z","title":"Measuring short-form factuality in large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.413030Z"},"links":{"cited_paper":"/paper/2411.04368","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:b0147272713e4e106d56b0ee1d7d5de6f429a5ed797dd8c48461626bae9ecacf","observation_id":"c6bd90e3-7244-4700-9910-041f1c89fc39","resolution":{"observed_at":"2026-08-15T17:20:17.413030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.418259Z","title":"Health online 2013,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.418259Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:67dcd612538e58f5fb446763e9cb8a114b77a9373f3c56be6d3997f1d8c981ba","observation_id":"666705cb-2229-469a-a482-ef84a6d5d443","resolution":{"observed_at":"2026-08-15T17:20:17.418259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.422076Z","title":"No. 54 Civ. 1461,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.422076Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:718fdc74d1cf10d8cd629623ef9f53ffccb9f8bb7caf4ce7dbaddff958809482","observation_id":"6142182a-a518-48dd-921b-bac7bd2ee9fc","resolution":{"observed_at":"2026-08-15T17:20:17.422076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.426294Z","title":"ONSC 2766,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.426294Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:02a5b6fe9d5d0dec6478d68ca3fafd79f806c7b0933e5d9be2050634274e08d4","observation_id":"bc57549a-1283-4208-9df8-91267b41d325","resolution":{"observed_at":"2026-08-15T17:20:17.426294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.430112Z","title":"No. 2:24-cv-05205-FMO-MAA,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.430112Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:5a7042dc8c70889c7b63e23d32f0825519ed1083f705b73986e56d745cadb00a","observation_id":"333d4a29-ea4c-4a1c-a926-68165d230ea9","resolution":{"observed_at":"2026-08-15T17:20:17.430112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.434087Z","title":"The impact of AI errors in a human- in-the-loop process,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.434087Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:2f4100d502f662f91a775d39117845ff9db37aa5f9a5cba7b78e68eddb17b7ce","observation_id":"3b885272-fa1f-49aa-a4f6-a8a91441f424","resolution":{"observed_at":"2026-08-15T17:20:17.434087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.438139Z","title":"Quantifying the impact of AI recommendations with explanations on prescription decision making,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.438139Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:b54a9dc9bdc9dcd6811c2e50eb21fac9571d6f305fff232c0cbd454790b7d5f8","observation_id":"6091f595-ba64-4567-80a8-a908d5cd0897","resolution":{"observed_at":"2026-08-15T17:20:17.438139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.442089Z","title":"How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.442089Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:33b3826f9467dcda9541f122d22f559324750a65afe9420a054240ab22cb4970","observation_id":"4656a29a-0f5d-4ed6-95cd-523ce55d06bf","resolution":{"observed_at":"2026-08-15T17:20:17.442089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.445924Z","title":"Humans inherit artificial intelligence biases,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.445924Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:998a26b69281ab37746303f7d4647031d9f5cf42636d49f5ae5b2c0d31d7ea77","observation_id":"db2198c6-b131-4961-83e3-e327dd4970ad","resolution":{"observed_at":"2026-08-15T17:20:17.445924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.449581Z","title":"Medical hallucination in foundation models and their impact on healthcare,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.449581Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:e4eb44d8ec2cfb5580926f62fc56647322894e87ef81c74c11658c7ae9fad6e9","observation_id":"17812afe-6f16-4271-9965-b6c0a926ebb5","resolution":{"observed_at":"2026-08-15T17:20:17.449581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.453588Z","title":"Solving inverse problems using data- driven models,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.453588Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:30a1674ec4eefb592f9c537d5bb08e4696a8bc9b852dc65a33291bdc8d83f298","observation_id":"6d5f0d9b-3264-4276-a24e-5bedaa2b1b5b","resolution":{"observed_at":"2026-08-15T17:20:17.453588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.457141Z","title":"Deep magnetic resonance image reconstruction: Inverse problems meet neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.457141Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:3bf56fadde395f3a53d74789061cc24f91277322b77bf41b9c9520586d68298d","observation_id":"34db32d7-50e2-4d8c-852f-5d436b2ab84d","resolution":{"observed_at":"2026-08-15T17:20:17.457141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.460484Z","title":"Convolutional neural networks for inverse problems in imaging: A review,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.460484Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:7464235619725d67266dcad6d58d0fe122c939d9cfcf5d8528ca0d1b7815164d","observation_id":"cb2258ae-35aa-4cbc-9a6b-67bf24a44ca8","resolution":{"observed_at":"2026-08-15T17:20:17.460484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.463940Z","title":"Deep learning techniques for inverse problems in imaging,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.463940Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:fe6e6d858c421fc8f4fa8cb309d7619b66e9d6d4fefc021486a6c09da1e67006","observation_id":"0f7fd321-a832-4e3f-a8af-dd382c8c8edf","resolution":{"observed_at":"2026-08-15T17:20:17.463940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.467459Z","title":"Deep learning for tomographic image reconstruction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.467459Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:d754470f8fb7ca9d5df7001e1bce8e60547011e4427f603c7b4ef934731cea3e","observation_id":"32dced7a-4cc2-47f2-b4f9-f82d849caa79","resolution":{"observed_at":"2026-08-15T17:20:17.467459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.470723Z","title":"Deep learning for pet image reconstruction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.470723Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:54f497b08ce684cf45b6cbda3cafecf697947d10d04c3cc90a97882b17bf78ff","observation_id":"9c10cf0f-072c-4d09-aaa3-8954755e82fe","resolution":{"observed_at":"2026-08-15T17:20:17.470723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.474401Z","title":"Image reconstruction is a new frontier of machine learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.474401Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:cff0e39877490ae262d5a53147efd28ccdf3407f91f5a37ce83876a102127c69","observation_id":"226c72e9-b419-4314-99d6-635cbd40357e","resolution":{"observed_at":"2026-08-15T17:20:17.474401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.477771Z","title":"Null-space smoothing of tomographic images using tv norm minimization,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.477771Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:05dee8716fb7cb9942ac5d03f3e2eace4b75df0990584f2626f406257135d416","observation_id":"b4acb08e-258a-474d-ac51-e887387d0fee","resolution":{"observed_at":"2026-08-15T17:20:17.477771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.482367Z","title":"Null space and resolution in dynamic computerized tomography,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.482367Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:c19113fdc61bf94dc5d5f34f4bd71b54e9c10bc03063064d99661ec3f7ca0d0c","observation_id":"ceed7085-e25e-41a9-bcdf-ef4376ec5753","resolution":{"observed_at":"2026-08-15T17:20:17.482367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.00584","last_updated":"2017-09-02T14:15:24Z","snapshot_observed_at":"2026-08-14T20:36:43.522353Z","submitted_at":"2017-09-02T14:15:24Z","title":"Deep Learning-Guided Image Reconstruction from Incomplete Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.00584","snapshot_observed_at":"2026-08-15T17:20:17.486092Z","title":"Deep learning-guided image reconstruction from incomplete data,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.486092Z"},"links":{"cited_paper":"/paper/1709.00584","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:ffa4a0e01bce14c22ab6ef896ebf3ef29650de3d9b78c8a546b485890ccb81d0","observation_id":"18403ee5-c6c7-43ab-a0a9-e3f094d71ffa","resolution":{"observed_at":"2026-08-15T17:20:17.486092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.489996Z","title":"Deep null space learning for inverse problems: convergence analysis and rates,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.489996Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:bd4f61c0763756131329e02885ed46f05ffc18862380972705a00e88dcfb909c","observation_id":"a15481f6-c38b-4475-982c-9f58fadc6e7c","resolution":{"observed_at":"2026-08-15T17:20:17.489996Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.494392Z","title":"Improved inversion through use of the null space,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.494392Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:4a5c345289b04c89b44a721bb65204321eb76013908282db9b128ee802528eba","observation_id":"20c8b915-1d39-4680-b000-132b7f836067","resolution":{"observed_at":"2026-08-15T17:20:17.494392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.498175Z","title":"Nullspace shuttles,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.498175Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:1c94b534b5a21b720e0cfaa46920b81dab2af0133f045a3da8e53eb1a4603386","observation_id":"c4afb87d-4e81-49e1-bf8c-442e67332fc2","resolution":{"observed_at":"2026-08-15T17:20:17.498175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.502314Z","title":"A perspective on deep imaging,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.502314Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:2be1090de7e29735e9d0ddd440a9cef626e5e556d6fdfb2e20e3a3bbc6aeccae","observation_id":"b1855259-4ceb-4ea3-a14b-4e9e34fd0c65","resolution":{"observed_at":"2026-08-15T17:20:17.502314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.506620Z","title":"Image reconstruction: from sparsity to data- adaptive methods and machine learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.506620Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:d2156a21ffa68683abc173e8a422fdf5aec87c721b6255d0eac1083048c6247a","observation_id":"56b5b068-5536-4de8-ae73-0d2246e9c884","resolution":{"observed_at":"2026-08-15T17:20:17.506620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.01258","last_updated":"2024-06-18T19:18:47Z","snapshot_observed_at":"2026-08-08T04:52:55.553471Z","submitted_at":"2020-01-05T15:30:23Z","title":"The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.01258","snapshot_observed_at":"2026-08-15T17:20:17.510156Z","title":"The troublesome kernel: why deep learning for inverse problems is typically unstable,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.510156Z"},"links":{"cited_paper":"/paper/2001.01258","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:88263e8f96391809927ced53739a6b6a21e7a3604a78518af159c7fcada102c5","observation_id":"0ad246d7-fd69-4e91-a230-27793c4fb8d3","resolution":{"observed_at":"2026-08-15T17:20:17.510156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.514386Z","title":"On instabilities of deep learning in image reconstruction and the potential costs of AI,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.514386Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:9a4598f5b1b85aa417c99f2ca5b563d744ac544e5701a1847abbbf3781a21299","observation_id":"fa55d7f2-7594-4471-b5b5-5e2f4ed0591b","resolution":{"observed_at":"2026-08-15T17:20:17.514386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.518145Z","title":"Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.518145Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:4da36673d6eee7932a5ad9610268c039f264124de82aa2f89fc5e8400c3db9b8","observation_id":"0438654e-aefb-4fea-a242-5a8e29f35c99","resolution":{"observed_at":"2026-08-15T17:20:17.518145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.521730Z","title":"The promise and peril of deep learning in microscopy,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.521730Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:4ab30cc9c6a2f7069cd0d47244e71fba34c99a70aec365cf8e592a2eb292c1b3","observation_id":"e17210c2-9c6f-4577-bc68-e9cf25858f4f","resolution":{"observed_at":"2026-08-15T17:20:17.521730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.525512Z","title":"Machine learning for medical imaging: methodological failures and recommendations for the future,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.525512Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:754969b17772752a154480882143847d8e8bc185dd727a418e12cae387bc258d","observation_id":"906eea19-5d0a-484f-a911-6039e831398d","resolution":{"observed_at":"2026-08-15T17:20:17.525512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.529145Z","title":"Advancing machine learning for mr image reconstruction with an open competition: Overview of the 2019 fastmri challenge,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.529145Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:fb79c93a15435816420c7d0cb832504281fe2b8d736b6dda7d35bd85d93f7d44","observation_id":"0cf192c9-defb-4ab2-bf74-3e74ad4e254e","resolution":{"observed_at":"2026-08-15T17:20:17.529145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.532641Z","title":"Results of the 2020 fastmri challenge for machine learning mr image reconstruction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.532641Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:452ed806a3040c750fd8f69c6676cab80b9bfcc866674623437c50775fd71917","observation_id":"2a813bc2-b837-4d8a-b772-054ea49d0e21","resolution":{"observed_at":"2026-08-15T17:20:17.532641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.536214Z","title":"Deep learning reconstruction of accelerated mri: False-positive cartilage delamination inserted in mri arthrography under traction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.536214Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:880f4478b436bd7f0160006da90a7912defa8f8e3ef62f873ed1d71560ddb5e8","observation_id":"bcced919-a9f0-4011-8c4e-3bae97f40459","resolution":{"observed_at":"2026-08-15T17:20:17.536214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.539674Z","title":"Robust physical-world attacks on deep learning visual classification,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.539674Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:62c39f0b4ffa138a1a83e9fccb2c0b4296f68ad5234f60af5f0ba3a890aaf5ac","observation_id":"933ee8ea-2308-4746-9c1c-71a59e9816c6","resolution":{"observed_at":"2026-08-15T17:20:17.539674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.543557Z","title":"Audio adversarial examples: Targeted attacks on speech-to-text,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.543557Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:875ed7a48785f70c0b198ca25d6007b622fee86ae2ffa481221595d1db8ed645","observation_id":"116e329a-e979-4289-b199-642775fc2882","resolution":{"observed_at":"2026-08-15T17:20:17.543557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.547156Z","title":"Adversarial attacks on medical machine learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.547156Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:90966d6aebd17c808dbd68b4f87019147e8d8c1b8df7a14f3d0ad51611a4f776","observation_id":"e0fa8352-53a9-4474-a67a-c0566b0b4d7c","resolution":{"observed_at":"2026-08-15T17:20:17.547156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.551462Z","title":"Why deep-learning ais are so easy to fool,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.551462Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:534ccb7aa5fbe183b41da6c816d4da2f2307475381e77fb9077e3c40091fac1b","observation_id":"64d9a86f-bb4c-46ce-8444-78a6b3855fff","resolution":{"observed_at":"2026-08-15T17:20:17.551462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.06098","last_updated":"2025-03-26T15:57:28Z","snapshot_observed_at":"2026-08-16T20:10:40.931713Z","submitted_at":"2021-09-13T16:19:25Z","title":"The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.06098","snapshot_observed_at":"2026-08-15T17:20:17.555599Z","title":"The mathematics of adversarial attacks in ai–why deep learning is unstable despite the existence of stable neural networks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.555599Z"},"links":{"cited_paper":"/paper/2109.06098","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:60735f7a73bcfbd67b86c09b20257d4c2f3e18966fa6961fd6c88e8350905f09","observation_id":"5fc213cb-8900-4b6b-84a9-5185cc27e1ec","resolution":{"observed_at":"2026-08-15T17:20:17.555599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.559500Z","title":"Some investigations on robustness of deep learning in limited angle tomography,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.559500Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:40abde2ed6e52a62eeff226bcdf50fbeaca337d066b1389dfdc86527f1da5f6d","observation_id":"e9accc45-ad4a-439a-a5d2-fe9206dccc2d","resolution":{"observed_at":"2026-08-15T17:20:17.559500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.563184Z","title":"Measuring robustness in deep learning based compressive sensing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.563184Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:19c21ed0e48a57e842474ca864aa035400b259be0af11b21ddf751b8ccd03426","observation_id":"0eca8cfd-32b0-4b48-a400-708a0058c4f8","resolution":{"observed_at":"2026-08-15T17:20:17.563184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.566701Z","title":"Solving inverse problems with deep neural networks– robustness included?,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.566701Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:dcb76697bee34fa49c8c8a69fe338e4821ceff6ac309fd713866814cb6ccfa75","observation_id":"4b67e9e2-9250-4baf-b603-6e1f51b9f519","resolution":{"observed_at":"2026-08-15T17:20:17.566701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.570256Z","title":"Improving robustness of deep-learning-based image reconstruction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.570256Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:a6115b7969c5e9ad5720a52837951c8fa239a1d2b1d785a75311ac580134e11c","observation_id":"d70ac64c-d09d-4569-a01c-d74d49332c08","resolution":{"observed_at":"2026-08-15T17:20:17.570256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.574001Z","title":"Adversarial robustness of mr image reconstruction under realistic perturbations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.574001Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:9d4d53729df5c4790e273c2129ecea01de7dd204dac564f4c34912ac8ad078e4","observation_id":"b766c480-8b36-4c36-9806-2c32b1158755","resolution":{"observed_at":"2026-08-15T17:20:17.574001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.577676Z","title":"Localized adversarial artifacts for compressed sensing mri,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.577676Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:8e6308f237a0acc9d435d4da6f9a7c0d7524c43bc3585f372eb498ec0a8dd081","observation_id":"3a10b1ce-d921-4ded-95ca-9e734b9cde83","resolution":{"observed_at":"2026-08-15T17:20:17.577676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.581616Z","title":"On hallucinations in tomographic image reconstruction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.581616Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:d99cfeb17b1613e36e96499940f2f6c91f347a94cab2148c6e5ed313007ab9d5","observation_id":"d8eeefce-a752-4ad6-9f76-f837bbb9f73c","resolution":{"observed_at":"2026-08-15T17:20:17.581616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.585144Z","title":"The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale’s 18th problem,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.585144Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:f3afc301dc837138c5ac268b7e59f1bf6bb938ab36fe13d797729756b84a987c","observation_id":"e63a22d0-bdc1-4a7d-b845-96dfe765bba6","resolution":{"observed_at":"2026-08-15T17:20:17.585144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.588888Z","title":"Impact of deep learning- based image super-resolution on binary signal detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.588888Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:8fa735c18766d50b4f35bb15295ac6fcbb1d66c06aaee0bd2ee5b10547769ec7","observation_id":"6a490ad0-3c55-4060-8641-3598300249ec","resolution":{"observed_at":"2026-08-15T17:20:17.588888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.592304Z","title":"Unified SNR analysis of medical imaging systems,","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.592304Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:ca335a14e21830d51d383b7c12a24e48d2f94d4603c67813d95f1188a77df64a","observation_id":"544f1b95-9ab4-4ca6-b99f-d751a3561d40","resolution":{"observed_at":"2026-08-15T17:20:17.592304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.595829Z","title":"Icru report 54: Medical imaging-the assessment of image quality-isbn 0-913394- 53-x. april 1996, maryland, usa,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.595829Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:9e15d66f01726e59a966e66963b4ba94c4d1324e2e07fa92f79d0962e631e7ed","observation_id":"b9705935-d72e-4fe9-b83b-1cfa3f9ed291","resolution":{"observed_at":"2026-08-15T17:20:17.595829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.599453Z","title":"Model observers for assessment of image quality,","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.599453Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:5544d8fed689aa7ed210459793a6cbcb10f352708de9d40301312a46ceb0594c","observation_id":"3bc3b327-7370-43ea-bd8d-4f881ec551c3","resolution":{"observed_at":"2026-08-15T17:20:17.599453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.607935Z","title":"Strategies for reducing radiation dose in ct,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.607935Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:7156e4616eec53d0021587b64f70706cc9cf9e6ce261edd7a274da968e45d004","observation_id":"2aef8989-56cc-4abb-a0d7-aace5dac6889","resolution":{"observed_at":"2026-08-15T17:20:17.607935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.611373Z","title":"Algorithms for reconstruction with nondiffracting sources,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.611373Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:18a72d66fb642e89ad8b31fe9a995475c86b27a25d684ef7baff60c1867d3bf8","observation_id":"3ef4ecc3-281d-439e-869b-a17642fc96bc","resolution":{"observed_at":"2026-08-15T17:20:17.611373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.615154Z","title":"Acquisition and reconstruction of magnetic resonance imaging,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.615154Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:a35900ab6b6d0eaff58ff5751e07fb8e445b89f0e62d5b28ffd9713f787e2d64","observation_id":"11a2eeca-db75-4082-94cc-2127d6c97353","resolution":{"observed_at":"2026-08-15T17:20:17.615154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.618880Z","title":"Low-dose ct with a residual encoder-decoder convolutional neural network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.618880Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:799fde1a5d64d21500d3843163523c3f5c1b9ac12b9538d2c02340a3ef9ff33f","observation_id":"627c51c5-0c32-4580-817b-05fa5faf5554","resolution":{"observed_at":"2026-08-15T17:20:17.618880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.622223Z","title":"Low-dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.622223Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:ae34f9606b7f713172fdc026773b6964f91258dfade0a368be0ef3e0a3fb5af5","observation_id":"c454a816-7d45-4ec0-8aca-2965454733eb","resolution":{"observed_at":"2026-08-15T17:20:17.622223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.625725Z","title":"Deep admm-net for compressive sensing mri,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.625725Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:481fe3b2d9fa6473113438feca7670f160c5aa8329edd808d108b4a927339f47","observation_id":"9ac45f69-8b67-4534-86a5-d6916a382ca8","resolution":{"observed_at":"2026-08-15T17:20:17.625725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.629714Z","title":"Deep networks and mutual information maximization for cross-modal medical image synthesis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.629714Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:64d2d53e311c744e776188f0049b154ccd9c3c39927130ea2c33835a67d441bf","observation_id":"47c6f30a-e644-4f85-a8fa-d622cee162f7","resolution":{"observed_at":"2026-08-15T17:20:17.629714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.633964Z","title":"Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.633964Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:175ce058252fd085d8c4a2508b8ae8381d611cb70e3a022307d3cbfd4bc4790e","observation_id":"d4f9b1ea-b338-4a37-9f0d-57e377bfb2ed","resolution":{"observed_at":"2026-08-15T17:20:17.633964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.638242Z","title":"The data processing inequality and stochastic resonance,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.638242Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:93616ade5ddeb87f1940bb2ad27c3e19f49f448d9328dd8e7eed02916287d17b","observation_id":"f9da669f-17f9-4c38-8ae1-2bee3ff74b11","resolution":{"observed_at":"2026-08-15T17:20:17.638242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.641842Z","title":"On hallucinations in tomographic image reconstruction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.641842Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:09a8d2b60dd7c6f3a07dd545d9a30bbd9e42718ad8501e7aaf428633608e324a","observation_id":"99e43a5d-3774-4a13-a448-1e57864eb423","resolution":{"observed_at":"2026-08-15T17:20:17.641842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.645314Z","title":"Null space imaging: nonlinear magnetic encoding fields designed complementary to receiver coil sensitivities for improved acceleration in parallel imaging,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.645314Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:681fefece9bef6430bcca2f910c1f50f8e2bc1e06cb4e4309eede087c8c51d35","observation_id":"b2440d9b-4ccf-4b4c-b9dc-ab0165b909b1","resolution":{"observed_at":"2026-08-15T17:20:17.645314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.652354Z","title":"Image artifacts: Appearances, causes, and corrections,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.652354Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:1ffff4ef17097f9392696d2e9a19315dfdb9c81df23e362927abaf266d0a4f38","observation_id":"56bfc294-a209-438c-b029-03c6f18afcaf","resolution":{"observed_at":"2026-08-15T17:20:17.652354Z","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":"2026-08-15T17:20:18.901157Z","title":"Artifacts in magnetic resonance imaging,","venue":null,"work_id":"bda3c31c-1ad0-437d-892a-1b1c892944f5","year":2015},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.656240Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:16ca5b12d58f6da39a2529db8de0c78daf92dfe539de06a97f1e17201a86a6d3","observation_id":"592e43fc-358a-4687-8d01-6bf108d48491","resolution":{"observed_at":"2026-08-15T17:20:18.905598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.888599Z","title":null,"venue":null,"work_id":"4dc68f9d-3da4-46d4-9e01-725d4e0b6de6","year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.659944Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:11a918dc8290d52c0d0846cb51f6a1de51f89389255375061df3db575399d5b3","observation_id":"49140b01-f5f5-4495-98ae-651294395cfd","resolution":{"observed_at":"2026-08-15T17:20:18.892592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.663948Z","title":"fastmri+, clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.663948Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:947a5016a3761c68c7c56f2aeecb65dcaaf0d11084b664c201464aabdb434f64","observation_id":"b16bfa23-1b22-40bf-9173-0fe323dc0afb","resolution":{"observed_at":"2026-08-15T17:20:17.663948Z","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":"2026-08-15T17:20:18.875874Z","title":"Lungx challenge for computerized lung CONTENTS16 nodule classification,","venue":null,"work_id":"b0239f68-e2a0-4688-8624-afa17b8ed706","year":2016},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.667466Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:bfd6dc824982acdd7a98f52a9adb82dcd8143c22bc4465058707ba6e78cfd81a","observation_id":"76391b41-c0f4-4efa-bb88-26eef2721b7c","resolution":{"observed_at":"2026-08-15T17:20:18.880600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.862838Z","title":"Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning,","venue":null,"work_id":"0d3733c7-399d-4ce8-9a54-ee68341d1a32","year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.671022Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:905b202b9daccdf71f262e50a731b7df717969628f9896904e728f65a291f845","observation_id":"8753c6cb-082e-4a94-98fc-0b4686068ec2","resolution":{"observed_at":"2026-08-15T17:20:18.866769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.850183Z","title":"No” zero-shot","venue":null,"work_id":"1ebe65b9-c437-4225-abce-fbf943d83e3a","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.675117Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:10ccb3e38e8e64b41aa8a8050026274638f134746e443ceecc648c64fe841c6b","observation_id":"f31e1375-65d1-4c59-8484-68882923da8a","resolution":{"observed_at":"2026-08-15T17:20:18.854888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.837818Z","title":"Generative adversarial networks in medical image augmentation: a review,","venue":null,"work_id":"9d9cca56-b8eb-4da7-ad8e-21184bac944a","year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.678917Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:5e016f71d9792173a1ad484a34e4d865acc93c16bd078937a20892d59cb73a7a","observation_id":"da7ab091-f039-43fc-aa16-0177407b933a","resolution":{"observed_at":"2026-08-15T17:20:18.842050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.825292Z","title":"Data augmentation for medical imaging: A systematic literature review,","venue":null,"work_id":"f08e19f5-9401-4eb6-8f10-7581a59166c4","year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.683099Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:31ecafdf12d7c6882cbed8431ef65d4584bb3cdc7c223a1de9fc27e451c174b3","observation_id":"fd815c06-ba78-40aa-a04b-170c0beb2855","resolution":{"observed_at":"2026-08-15T17:20:18.829567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.812248Z","title":"Synthetic breast ultrasound images: A study to overcome medical data sharing barriers,","venue":null,"work_id":"af0f0351-62df-408f-ac3d-2c491a391f67","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.686792Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:b3781bcf970322bcd296d5832cdafb0a54410cb1c75de1eaab6df1f118e2bce2","observation_id":"440cfb7c-be46-4d6e-a8fb-3c6df247d01f","resolution":{"observed_at":"2026-08-15T17:20:18.816294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.799586Z","title":"Analyzing gan artifacts for simulating mammograms: application towards finding mammographically-occult cancer,","venue":null,"work_id":"05ae845b-870f-4681-a8dd-879617540292","year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.690492Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:52e49b17bba14184c6a2ce01869f51ea99e2d3ac6d12e527570d2ed3d5e71d01","observation_id":"82ce9566-2bbc-465b-a321-cde1723e9ef7","resolution":{"observed_at":"2026-08-15T17:20:18.803527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.786926Z","title":"Selective synthetic augmentation with histogan for improved histopathology image classification,","venue":null,"work_id":"d40f6558-4ad6-4f51-950d-f4a7c4528227","year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.695000Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:0892e07916a0680a64a3b9f4aa324be12a13f636ec3995393db6695d2edec6dc","observation_id":"b5ec6e38-1925-4b27-bbcd-d5b7a3f31efe","resolution":{"observed_at":"2026-08-15T17:20:18.791318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-08-16T19:44:00.811684Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-15T17:20:17.698621Z","title":"Hallucination is inevitable: An innate limitation of large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.698621Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:964887d5a0732185ef63acf61cacb27c55eb39140106c0291371a84817be03ff","observation_id":"f13254c4-001d-4a0b-9a3f-e96b93cb29f4","resolution":{"observed_at":"2026-08-15T17:20:17.698621Z","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":"2026-08-15T17:20:18.774739Z","title":"A method for evaluating deep generative models of images for hallucinations in high-order spatial context,","venue":null,"work_id":"f16eda3d-d7a1-4724-b217-a401398f1038","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.702489Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:1f5955a53517cd0fae2e34d3ed560eda4c7e61f841550698a899c44ed452dfb5","observation_id":"738b43a7-7914-486a-a13e-b62b2a07bc23","resolution":{"observed_at":"2026-08-15T17:20:18.778991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.760715Z","title":"Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context,","venue":null,"work_id":"e11b04af-e188-4e05-8dcd-2f0168446e91","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.706119Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:97993e5fe86eb63d63a5cc346bfa11e7178c059904fe5cf81269238ae2a287e2","observation_id":"6e70143a-7d45-49e6-b2ec-98eb9eaabe4d","resolution":{"observed_at":"2026-08-15T17:20:18.765431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.748119Z","title":"Assessing the ability of generative adversarial networks to learn canonical medical image statistics,","venue":null,"work_id":"a6fd740a-3e04-4281-b20f-6653aa0afa28","year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.709796Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:14413cd075faeb5139630d4f2768afdbe22341b6e17e11aff2fe815cd85dc40d","observation_id":"89456544-0a08-460f-9410-a460fb529ebe","resolution":{"observed_at":"2026-08-15T17:20:18.752194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.735667Z","title":"A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis,","venue":null,"work_id":"271a5a31-236f-4f49-98a6-cc1dd23e927e","year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.713427Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:ddaa161faa0ec9284b791751f82acab77d3009a1323aaa24d3e31254ab5dc682","observation_id":"d59c81f7-e1b7-4041-9108-4159755efa49","resolution":{"observed_at":"2026-08-15T17:20:18.740026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.722839Z","title":"Report on the aapm grand challenge on deep generative modeling for learning medical image statistics,","venue":null,"work_id":"5f87219b-0ac1-4317-8b29-f6e462c07c36","year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.717313Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:f43e3b66775cc2312e56806f9d4467a3ff5dbb3e8a2df64ecdc65c3b01f3c946","observation_id":"97be3c32-ff82-490c-affc-4a8517e4b5a8","resolution":{"observed_at":"2026-08-15T17:20:18.727163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.709698Z","title":"A knowledge-based method for detecting network-induced shape artifacts in synthetic images,","venue":null,"work_id":"0a381b5e-5522-4d78-8abb-42b55ad44b7e","year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.720831Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:1b6156dbce3bb14cd81167e7dd6a2b30af48a43b03012bfac5002b4cb4e49a74","observation_id":"56b3b9e9-5712-4c00-817b-c9608bc9ba96","resolution":{"observed_at":"2026-08-15T17:20:18.714140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.725102Z","title":"Distribution matching losses can hallucinate features in medical image translation,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.725102Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:34626eff208a13b19826cb49115f7a22bd4a9ac4c45f79b1c7e6df11a7671249","observation_id":"228241ec-3475-4cce-8d1a-6578f4c2e3df","resolution":{"observed_at":"2026-08-15T17:20:17.725102Z","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":"2026-08-15T17:20:18.695930Z","title":"Cyclegan for virtual stain transfer: Is seeing really believing?,","venue":null,"work_id":"88e469e8-9323-45a1-8726-9917a91a62a6","year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.729352Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:11002a26f8b9b6b71cd32b1e866ac0888e70a68c7cf4586bf480f9a5835a4941","observation_id":"cb2ec5c8-d67f-4d6a-ab46-86d78a50d10f","resolution":{"observed_at":"2026-08-15T17:20:18.700520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.732943Z","title":"Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.732943Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:185efb19285fd0c13f010a51e3b882d85f97b4cf70cea4695b9f756b1dabc60f","observation_id":"e4159df3-1fe9-4f24-ad90-ccdfb71e60ca","resolution":{"observed_at":"2026-08-15T17:20:17.732943Z","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":"2026-08-15T17:20:18.673079Z","title":"Benchmarking large language models for news summarization,","venue":null,"work_id":"b523d6ee-9126-4880-b027-63e7570af8b0","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.736569Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:cd65aa27f9da6c8d8c360ffe90f7bf390b18d4c063c78b016b6891c484333eb5","observation_id":"6125e8d5-fbd8-46be-8a4c-8a53a919f342","resolution":{"observed_at":"2026-08-15T17:20:18.678659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.07992","last_updated":"2023-09-20T05:25:22Z","snapshot_observed_at":"2026-08-16T15:48:17.194918Z","submitted_at":"2023-03-14T15:46:28Z","title":"Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.07992","snapshot_observed_at":"2026-08-15T17:20:17.740254Z","title":"Evaluation of chatgpt as a question answering system for answering complex questions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.740254Z"},"links":{"cited_paper":"/paper/2303.07992","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:27d3bb7d2c7de167a721d7b600df059bdd318e85c964296c0c525d1b80c7913d","observation_id":"9d4242b6-bc8a-4396-a08d-0da597860f2d","resolution":{"observed_at":"2026-08-15T17:20:17.740254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04675","last_updated":"2024-06-14T11:40:52Z","snapshot_observed_at":"2026-08-16T15:41:32.780007Z","submitted_at":"2023-04-10T15:51:30Z","title":"Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04675","snapshot_observed_at":"2026-08-15T17:20:17.744358Z","title":"Multilingual machine CONTENTS17 translation with large language models: Empirical results and analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.744358Z"},"links":{"cited_paper":"/paper/2304.04675","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:c99e3795c63246ee25d8e3dc38499564e36c4a11e52ca1bfa4e021d53bb533e7","observation_id":"3ac3fcb6-a7da-4873-a1d4-3d48837ff954","resolution":{"observed_at":"2026-08-15T17:20:17.744358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.13346","last_updated":"2021-07-23T22:56:32Z","snapshot_observed_at":"2026-08-16T18:28:42.509988Z","submitted_at":"2021-04-27T17:28:07Z","title":"Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.13346","snapshot_observed_at":"2026-08-15T17:20:17.748429Z","title":"Understanding factuality in abstractive summarization with frank: A benchmark for factuality metrics,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.748429Z"},"links":{"cited_paper":"/paper/2104.13346","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:e6d9a288e0d1197712bb5f81cc6d5686b9b3599aa6e0ecc9175cb63c13f0223d","observation_id":"52c6259d-1c6e-4ef7-8127-c5204534a678","resolution":{"observed_at":"2026-08-15T17:20:17.748429Z","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":"2026-08-15T17:20:18.659711Z","title":"Challenges in building intelligent open-domain dialog systems,","venue":null,"work_id":"451f88df-e9bc-4c63-b6e6-21068b99309d","year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.752836Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:c9a1e383baa605fcf0f5379aa6f529ea54c41fc9accbd490c05b06ee830f944b","observation_id":"20e81740-0004-4045-b1b0-e951ea348a32","resolution":{"observed_at":"2026-08-15T17:20:18.664299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.757777Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.757777Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:681703ac94f8e45e0d96eb94b1a3ffce59e7870a7555d6107d6b5c829a1eba27","observation_id":"8dbfcdb1-337e-4245-a6b2-e6f0701a6ae4","resolution":{"observed_at":"2026-08-15T17:20:17.757777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.761547Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.761547Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:9ab22f439e95f82df01f6fc22819175b2c95d8ffee2180421b6541ab0a8576c2","observation_id":"216dcdf5-c154-4722-8ab4-b3c6524fccd5","resolution":{"observed_at":"2026-08-15T17:20:17.761547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.765416Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.765416Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:04a810618f1d2cb1b7fdc532b465847b947fe7df81da87ac09fc3ca80386fb6f","observation_id":"036c901d-5dcc-4747-afb1-d6aaff1171ab","resolution":{"observed_at":"2026-08-15T17:20:17.765416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08910","last_updated":"2020-10-05T21:26:45Z","snapshot_observed_at":"2026-08-15T17:58:46.639035Z","submitted_at":"2020-02-10T18:55:58Z","title":"How Much Knowledge Can You Pack Into the Parameters of a Language Model?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08910","snapshot_observed_at":"2026-08-15T17:20:17.769021Z","title":"How much knowledge can you pack into the parameters of a language model?,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.769021Z"},"links":{"cited_paper":"/paper/2002.08910","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:e8e40d5a2baf9f6336776d7ec614fa65362d97cb0766549fb95853bce9b70ce6","observation_id":"8b6464a7-e927-4c79-b9f4-e654703aeb20","resolution":{"observed_at":"2026-08-15T17:20:17.769021Z","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":"2026-08-15T17:20:18.621792Z","title":"Black swans and the domains of statistics,","venue":null,"work_id":"47f403e8-a338-4e68-bdd7-77e9aaf4afdf","year":2007},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.773029Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:04fac2abec4a02deaab911e4747a0ee47d8d0043982c1cead9b50283372c8eb0","observation_id":"01af0fcb-b79f-4362-ac49-bacd2ebcc206","resolution":{"observed_at":"2026-08-15T17:20:18.626347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:17.777002Z","title":"Survey of hallucination in natural language generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.777002Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:1c7d91c719210cd5f43163b36a9d7622638df1b695b10161f2b2baddfb09f1a8","observation_id":"26c5e10a-84e4-445b-ba16-3d69a6d32b0a","resolution":{"observed_at":"2026-08-15T17:20:17.777002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.04346","last_updated":"2020-05-13T08:11:35Z","snapshot_observed_at":"2026-08-05T14:28:08.661667Z","submitted_at":"2020-05-09T02:16:05Z","title":"Diversifying Dialogue Generation with Non-Conversational Text","version":2},"cited_work":{"arxiv_id":"2005.04346","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.04346","snapshot_observed_at":"2026-08-15T17:20:18.234375Z","title":"Diversifying Dialogue Generation with Non-Conversational Text","venue":"cs.CL","work_id":"2c72562e-d616-4b78-8e59-fa6e80d68ee6","year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.780594Z"},"links":{"cited_paper":"/paper/2005.04346","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:bbc2c2aab187f53954ee97f8ef4a3453ef8dfe7e1d649c73edc0c703b948a443","observation_id":"3352f614-6f1d-4831-9275-06abf5515157","resolution":{"observed_at":"2026-08-15T17:20:18.239211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.07602","last_updated":"2020-09-16T11:01:46Z","snapshot_observed_at":"2026-08-16T13:23:01.784598Z","submitted_at":"2020-09-16T11:01:46Z","title":"UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation","version":1},"cited_work":{"arxiv_id":"2009.07602","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.07602","snapshot_observed_at":"2026-08-15T17:20:18.213343Z","title":"UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation","venue":"cs.CL","work_id":"fdbfc510-8269-4b7b-8913-8254b3d10d27","year":2020},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.784363Z"},"links":{"cited_paper":"/paper/2009.07602","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:0c536e14909bf473db4ae298d7c4d902d3f20ff60c09e00551a130e542c351a5","observation_id":"fc0427cd-57b0-4bd8-bafe-a2a2beeaad6f","resolution":{"observed_at":"2026-08-15T17:20:18.220989Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.07567","last_updated":"2021-04-15T16:24:43Z","snapshot_observed_at":"2026-08-16T18:31:20.155499Z","submitted_at":"2021-04-15T16:24:43Z","title":"Retrieval Augmentation Reduces Hallucination in Conversation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.07567","snapshot_observed_at":"2026-08-15T17:20:17.788613Z","title":"Retrieval augmentation reduces hallucination in conversation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.788613Z"},"links":{"cited_paper":"/paper/2104.07567","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:fe0a4fa3a50d2c932e9bb19c92b0d7b22df7663dfff6a20cd7479da9219907a9","observation_id":"382e8d4a-2240-44a4-8030-247961719e08","resolution":{"observed_at":"2026-08-15T17:20:17.788613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05654","last_updated":"2024-01-11T04:25:06Z","snapshot_observed_at":"2026-08-16T14:28:21.479244Z","submitted_at":"2024-01-11T04:25:06Z","title":"Towards Conversational Diagnostic AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.05654","snapshot_observed_at":"2026-08-15T17:20:17.792556Z","title":"Towards conversational diagnostic ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.792556Z"},"links":{"cited_paper":"/paper/2401.05654","citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:548efde97618d5dd7c67f84fc65d1d7bf9f4d03f8d2dd3513c92c954b79fae27","observation_id":"ae321199-70bc-4bcd-8c55-f3b62b2511bc","resolution":{"observed_at":"2026-08-15T17:20:17.792556Z","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":"2026-08-15T17:20:18.598509Z","title":"Towards generalist biomedical ai,","venue":null,"work_id":"54b58e27-6b9d-4200-b303-1f3bd7c444b5","year":2024},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.796413Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:5f0883343bfdebe011cf924845403cea1a03c7d15f86d38394777065d5cc6a74","observation_id":"36356004-c44f-4430-941f-741d996a430c","resolution":{"observed_at":"2026-08-15T17:20:18.602466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:20:18.572976Z","title":"Towards a holistic framework for multimodal llm in 3d brain ct radiology report generation,","venue":null,"work_id":"82cdc223-89f0-4fb0-a527-bb4e621fac66","year":2025},"citing_paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-15T17:20:17.803748Z"},"links":{"citing_paper":"/paper/2508.14118"},"observation_digest":"sha256:25fb8bb0394ca27cd7fac78ae99b852b808f56db0900ec355b1b7cdac4a0a1bf","observation_id":"84af9b04-1bf9-4382-8993-fb3e964bdb7b","resolution":{"observed_at":"2026-08-15T17:20:18.576971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.14118","last_updated":"2025-08-18T12:31:55Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T22:56:39.605838Z","submitted_at":"2025-08-18T12:31:55Z","title":"Hallucinations in medical devices"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":77,"verified_exact":2,"verified_fuzzy":21},"total_outbound_references":140},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 0 inbound Pith citation observations for arXiv:2508.14118."}