{"as_of":"2026-08-15T07:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07a7fe25c992aa7578bc5fa6e4030f5474d0148b5c2c5bb1bf9857d98c2c4885","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T03:38:53.596405Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.13835/citation-record","integrity":"/paper/2607.13835/integrity","json":"/paper/2607.13835/citation-record.json","paper":"/paper/2607.13835"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1118/1.4820371","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taguchi and J.S","venue":"Medical Physics","work_id":"5ed1f4c1-0318-4f07-812b-6b7310e3dc78","year":2013},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.395547Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:76c66a4ad881116d25f911bf255137d883b43a5983bf290ee192ecfc82c8c89c","observation_id":"329e2a5e-5e24-46b5-8dcf-ff5a1f7c6fb9","resolution":{"observed_at":"2026-08-02T03:43:23.053895Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.nima.2007.08.079","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llopart, R","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","work_id":"bce6b786-0376-4d61-8cdc-9fddd4035464","year":2007},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.430543Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:e23cb1fbe87b0ee3b2ddd1d0f9faa7ec08478c943b0854cf9b071c38c7bbe072","observation_id":"94d9c41d-e447-4599-9c2a-8c58de40abf8","resolution":{"observed_at":"2026-08-02T03:43:23.045848Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-02T06:19:55.203577+00:00","source":"paper_reference_links","state":"open"},"event_date":"2007-11-10","event_type":"correction","notice_doi":"10.1016/j.nima.2007.11.003","provenance":{"observed_at":"2026-07-11T03:11:15.811764+00:00","source":"crossref","source_record_id":"10.1016/j.nima.2007.11.003->10.1016/j.nima.2007.08.079:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-0221/8/02/c02016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ballabriga, J","venue":"Journal of Instrumentation","work_id":"2ec293b5-f8ee-4dea-a725-cdf9edd11a2b","year":2013},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.466478Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:b8db2e8d909d225724ab6d1e7b85f1b4273965ace7ca168982697ae1f9becd16","observation_id":"f9e21c11-159b-4111-86c9-f1210d6f4fcb","resolution":{"observed_at":"2026-08-02T03:43:23.037078Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-02T03:38:52.531609Z","title":"Dudak,High-resolution X-ray imaging applications of hybrid-pixel photon counting detectors Timepix, Radiat","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.531609Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:ee95ceb737c7b07b81c225eb8b9406f22d0c278db22ef52abcde1e0a4d2c932d","observation_id":"11172e3f-6e74-4ffc-8b62-2e63bf58f6bb","resolution":{"observed_at":"2026-08-02T03:38:52.531609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-0221/8/01/c01025","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Procz, K.-A","venue":"Journal of Instrumentation","work_id":"0d8aea2a-2320-41a0-80cf-306d53e40c49","year":2013},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.587332Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:7603c51f8980234adda0146b052d7dd64cca364fd73f967f7c3a618c1515de62","observation_id":"edac81f2-6d8e-47ad-b143-37f81076aea5","resolution":{"observed_at":"2026-08-02T03:43:23.028465Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/nano12234110","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Suslova, A.P","venue":"Nanomaterials","work_id":"c244147e-21d3-4a66-95c9-d33d2b6848c8","year":2022},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.672958Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:b07e55633f9e36d35dc2de28d7b900afdb0369afd3de370ccea177d41a79a982","observation_id":"3d677883-5176-4b47-977a-c539526869d9","resolution":{"observed_at":"2026-08-02T03:43:23.019572Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1142/s1793604722500291","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Suslova, D","venue":"Functional Materials Letters","work_id":"d3e79899-dc94-4e48-baae-e279fae8aaee","year":2022},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.735806Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:119c00f27bffcad63e4b33afa21379276f88ab43a09ab9d4baafe875389fb5b3","observation_id":"c610f5de-df87-4e85-b314-fd5bfd5f3739","resolution":{"observed_at":"2026-08-02T03:43:23.010295Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/0031-9155/53/15/002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Schlomka, E","venue":"Physics in Medicine and Biology","work_id":"1edbe02a-2eb9-4df0-b5da-a4fa8488af7f","year":2008},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.789652Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:cdbfea97c9d4242f1badf5daa8065dd914335a4809105dfa1dce6e75d1117405","observation_id":"d4e7cff9-a055-4c47-8237-1f9318906d7f","resolution":{"observed_at":"2026-08-02T03:43:23.001323Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/radiol.2021203968","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Radiology","work_id":"d78c0f7d-7980-4b59-8073-bfae81ad5ed7","year":2021},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.836707Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:4f9458c1984a0ce3de0c60b773724f85d4a38d75bbc85267e6eeff7e4ff48d4d","observation_id":"04552fea-3d35-47d2-b250-59bc7c203c40","resolution":{"observed_at":"2026-08-02T03:43:22.991915Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.diii.2023.05.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Boccalini, R","venue":"Diagnostic and Interventional Imaging","work_id":"a882c1ed-a639-4537-80dd-4c5cdb3f527d","year":2023},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.882013Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:77587703747b765aac39979cdab376682fd0493b36aa2606996a3c468a584fb8","observation_id":"338f2d1a-666e-4962-a497-909e733bd31f","resolution":{"observed_at":"2026-08-02T03:43:22.982193Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1097/rli.0000000000000978","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Investigative Radiology","work_id":"3571b068-867c-4ed7-9f3b-11ea930ff7d3","year":2023},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:52.930371Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:3cf9c9ba483c5dff69ad386f16c5dd68e181ce91faf9adf06264be6b8441751f","observation_id":"13b4f6bb-1de6-462a-8d66-1397909751c4","resolution":{"observed_at":"2026-08-02T03:43:22.971912Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/0031-9155/59/21/6445","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Clark and C.T","venue":"Physics in Medicine and Biology","work_id":"06d776a2-ccfb-4f50-b331-304d82ba5ee0","year":2014},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.024762Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:24b4176f2376f037dc990331f3e81c3b76c34ffdac8ff72968e74ffdef3f35a3","observation_id":"e06dd1fd-0937-475d-ba68-fb37663ce378","resolution":{"observed_at":"2026-08-02T03:43:22.961584Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-0221/19/04/p04009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sotenskii, V.A","venue":"Journal of Instrumentation","work_id":"75fadbf5-2fa2-475d-ab56-f125515a3384","year":2024},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.083110Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:fccf976e5ea0ce27bcff2ceb99dcfed7390c4ee10ed86048984f32c2b845d01f","observation_id":"1883d7b8-c9a1-46a6-baba-7bb91585c367","resolution":{"observed_at":"2026-08-02T03:43:22.952191Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-02T03:38:53.148865Z","title":"Abascal, N","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.148865Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:9cdca2a94531e87820c6194aba64801b37579b3cceb5fcf39f20fdfd7d37805a","observation_id":"b4775d43-121f-4a9b-8bce-221a3a1bbaa9","resolution":{"observed_at":"2026-08-02T03:38:53.148865Z","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":"2026-08-02T03:38:53.195363Z","title":"Bousse, V.S.S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.195363Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:22d51f037525dff6f59f0853c9cd8270e7b8678ba3fe68bbed009454dd4ea6c0","observation_id":"263a4b93-8862-4722-8a14-7a3fcdaf587f","resolution":{"observed_at":"2026-08-02T03:38:53.195363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-025-09739-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rajagopal, S","venue":"Scientific Reports","work_id":"309178d3-3dd5-4b58-b93b-729a5299c758","year":2025},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.269705Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:a0e297e9b04ac605778cd272691b70c3e2a5e5f0d3c99a6c710189336dce2379","observation_id":"1c360846-ae44-489e-8225-e187e4a8ec61","resolution":{"observed_at":"2026-08-02T03:43:22.943049Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-02T03:38:53.346480Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.346480Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:bdb1b0047ec814f765a84c53cd25d9f3447b047bb1c3739f83afff85f60d68c2","observation_id":"d089c58e-5a16-4df7-b54d-dd85edcb99d0","resolution":{"observed_at":"2026-08-02T03:38:53.346480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-0221/9/04/c04018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jakubek, M","venue":"Journal of Instrumentation","work_id":"7114033e-cc28-4c9d-b013-ee2d3801d295","year":2014},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.400057Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:7f26c01fd974adba5a73064032bd28ba388fc5670ebcf9887d36a75e14255651","observation_id":"618d1000-4fd4-4e12-a6f6-fa942acf9b37","resolution":{"observed_at":"2026-08-02T03:43:22.933677Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-02T03:38:53.451426Z","title":"van Aarle, W.J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.451426Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:eb27f570297d82527c3ed8901f7a3996a6be86717e132cc1eef250c5123b2862","observation_id":"4fe39886-2d40-45a8-8acb-c9f46e9b2654","resolution":{"observed_at":"2026-08-02T03:38:53.451426Z","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":"2026-08-02T03:38:53.497128Z","title":"Paszke et al.,PyTorch: An imperative style, high-performance deep learning library, inAdvances in Neural Information Processing Systems 32 (NeurIPS 2019), article 721 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.497128Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:cc7a7f7bd9fa1d3e4ca0f73ec7f1ed21031c76d88deb26b1afb24a5d53346356","observation_id":"b856f9c5-5e86-4b2f-9093-cf521a77a9fd","resolution":{"observed_at":"2026-08-02T03:38:53.497128Z","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":"2026-08-02T03:38:53.529485Z","title":"Pedregosa et al.,Scikit-learn: Machine Learning in Python, J","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.529485Z"},"links":{"citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:154d3c705c726271a1a0b354fdcb0a38c49ca2aea27f3615a62c0ddcae3c8a1f","observation_id":"bdb3d5ee-810e-4a36-8187-35da4cbccf53","resolution":{"observed_at":"2026-08-02T03:38:53.529485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-02T03:38:53.596405Z","title":"Loshchilov and F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T03:38:53.596405Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2607.13835"},"observation_digest":"sha256:a66e16fd2e426e215e99335a42eba84fba04d055252fcd1fa3fbfe3ebaca03b0","observation_id":"08edeb32-5083-4bf8-b9a4-98ee2813ec0e","resolution":{"observed_at":"2026-08-02T03:38:53.596405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.13835","last_updated":"2026-07-15T13:43:15Z","latest_version":1,"primary_category":"physics.ins-det","snapshot_observed_at":"2026-08-15T01:01:28.972371Z","submitted_at":"2026-07-15T13:43:15Z","title":"Neural-network-based material identification in photon-counting computed tomography using region-of-interest spectral features"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":14,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.13835."}