{"as_of":"2026-08-08T12:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:08ff77a2b4260e12aba39c4d4e9c6dddd8449caa7034f7aff551402334e806a0","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:46:37.876776Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2508.08349/citation-record","integrity":"/paper/2508.08349/integrity","json":"/paper/2508.08349/citation-record.json","paper":"/paper/2508.08349"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:46:48.083522Z","title":"Elements of modern X-ray physics; John Wiley & Sons, West Sussex, UK, 2011","venue":null,"work_id":"db6ac4d5-5737-4e64-982b-4befcbb3fe8b","year":2011},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.501726Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:8c968be465fb3251198edd7632f360f4aa7737202f54d3ae5e45d8cb09566e77","observation_id":"915933ff-1f1d-438f-a8c3-727130158d45","resolution":{"observed_at":"2026-08-05T21:46:48.177901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:47.894740Z","title":"Fundamentals of crystallography; Oxford university press, Oxford, UK, 2002","venue":null,"work_id":"115804c9-fac0-4b39-ac3a-4308ed11f276","year":2002},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.566182Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:4cfafb0065b82ca4ab25e32b9e77eebc76a7d925b2a46796d87ec0257d39e699","observation_id":"84bb5b8c-6999-4b14-9843-3d4dc730a098","resolution":{"observed_at":"2026-08-05T21:46:48.001558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:47.649793Z","title":"X-ray metrology for advanced microelectronics","venue":null,"work_id":"c7fe128d-8728-41e0-97b0-6e818bd80070","year":2010},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.666137Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:e4ba76749560962c54a8b097b0997466e8cbb3dfd84d46cae6f43c5fb6aa7910","observation_id":"2e83d556-30bc-4ed1-8fef-df5137f46072","resolution":{"observed_at":"2026-08-05T21:46:47.751684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:47.411301Z","title":"F.; Schaak, R","venue":null,"work_id":"0d8c552f-4b5d-421c-9bd7-ac5588a309d7","year":2019},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.719593Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:48859faaceead1c0a80095099dd4ee6fa0fd4531ee00f554cf5aa7b162102826","observation_id":"53315540-7821-4663-8887-100cc7d3a4b7","resolution":{"observed_at":"2026-08-05T21:46:47.572985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:47.220564Z","title":null,"venue":null,"work_id":"ee3b1aba-479f-46cb-85d9-ac07b7bb476f","year":2012},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.809140Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:95910ea70cdd067fd6047be292f83043aefae276b52bbdcff0e27fa0b88fa0ed","observation_id":"a0645f97-e961-4c8a-8c3a-32bc6d5efe01","resolution":{"observed_at":"2026-08-05T21:46:47.347547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:46.945229Z","title":"FullProf","venue":null,"work_id":"8062b182-291b-4d76-a57a-2ce7388b98f2","year":1998},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.909225Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:025bfe473d94cccd5f3f076f8c5a64d3c6323a68275955edc07b1e82641833b6","observation_id":"c65ecabe-26ae-4c24-b10a-98ad7585324a","resolution":{"observed_at":"2026-08-05T21:46:47.064101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:46.710918Z","title":"C.; Von Dreele, R","venue":null,"work_id":"b2480444-85c2-4345-b269-b26466b336f7","year":1985},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:33.983895Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:7b7d58680ed50829abef1768e01d016c482aa83119ed6eb95af3b1617efafa60","observation_id":"0fe1cfba-764b-4838-8e87-7434e1edc8e3","resolution":{"observed_at":"2026-08-05T21:46:46.831046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:46.443055Z","title":"GenX 3: the latest generation of an established tool","venue":null,"work_id":"f71a2a20-db29-4d3a-b739-68a17bb3f470","year":2022},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.081873Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:e9755ecaaa379d66fffeaf73c67d68bbda3cf89a042d2e15255b5cb7bf9b5959","observation_id":"69d8fa84-478e-4642-bfa6-723e5c5fd046","resolution":{"observed_at":"2026-08-05T21:46:46.564579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:46.179682Z","title":null,"venue":null,"work_id":"1de3553d-d45d-4837-b87e-93dd5132bbd1","year":2018},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.180056Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:1ada20d3f9480252f3775cbf3d6821eaeece0d1ad179b431fe3c71db1925cd78","observation_id":"6017accd-1547-4028-8744-dd2d11358ea3","resolution":{"observed_at":"2026-08-05T21:46:46.325408Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:45.901822Z","title":"Rietveld texture analysis from TOF neutron diffraction data","venue":null,"work_id":"dc2d53b8-0670-47f4-9066-43f02e4051bf","year":2010},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.235537Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:a429db131dff134db332d34098c0097a519d72b32ddb988742da000030f3fe2b","observation_id":"b5048355-f70c-406b-b9ab-19e4cb07f04f","resolution":{"observed_at":"2026-08-05T21:46:46.064365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:45.645134Z","title":"W.; Choudhary, A.; Agrawal, A.; Billinge, S","venue":null,"work_id":"bcedbe6f-365b-42a8-a7b5-b49fbef0afed","year":2022},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.315495Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f0946cc4c06d388710e8514bfbe8c71e50e5edd82544936c83709ddf8aa1373e","observation_id":"feda2d57-5d24-43d8-a87c-76965f139143","resolution":{"observed_at":"2026-08-05T21:46:45.757286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:45.427315Z","title":"K.; Choudhary, K.; Mehta, A.; Smith, R.; Kusne, G.; Tavazza, F.; Vlcek, L.; Ziatdinov, M.; Kalinin, S","venue":null,"work_id":"70926662-0ffc-40d3-82ad-be62f2447a1f","year":2019},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.381015Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f19322f0ce74f059ad64c3d91dbd9105fda3ac41c240867625d82c17839d5bb0","observation_id":"0e9c7603-61d6-464a-921e-54a5d9f46ab8","resolution":{"observed_at":"2026-08-05T21:46:45.539355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:45.186716Z","title":"R.; Botti, S.; Marques, M","venue":null,"work_id":"32d1563f-ca78-4725-acb2-21e35de1db57","year":2019},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.489179Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:6a07588f0440468eaa02ed1ba720f3a13e9fff26066239f106d081a815391c8e","observation_id":"c9ef3d2d-5e67-49be-a224-ebf91d52b959","resolution":{"observed_at":"2026-08-05T21:46:45.308104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:44.918141Z","title":"G ov --- nist.gov","venue":null,"work_id":"b6c38b4b-e2a4-4e34-bb9f-fe649f199c02","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.567922Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:fc290d4845fc5aac044bd8bfc438fbf456f302ce60502472e899c9f4a675b54d","observation_id":"a6b03d34-bfea-4713-89a8-42baec44833b","resolution":{"observed_at":"2026-08-05T21:46:45.080220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:44.700845Z","title":"X-ray diffraction data analysis by machine learning methods—a review","venue":null,"work_id":"6137de28-fb68-4521-805d-77318184153d","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.644583Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:d0a4aa4d654a0d8189f128bdbe49737683cb90199c20ac1cc75ca5a5ced78c95","observation_id":"02f5c5c2-71ab-4951-b969-efce40091339","resolution":{"observed_at":"2026-08-05T21:46:44.816233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:44.460725Z","title":"B.; Chung, J.; Jung, J.; Sohn, K.; Singh, S","venue":null,"work_id":"600f59e5-f593-490b-802a-67dd3ac7ed99","year":2017},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.712670Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:07fb450f9752ef6571d4062c19a6e95480013606baf885f96346cf06d5d4d89f","observation_id":"e1d2c4f7-f930-439a-8be1-df969a5064d4","resolution":{"observed_at":"2026-08-05T21:46:44.565243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15410","last_updated":"2023-04-28T09:29:10Z","snapshot_observed_at":"2026-07-06T15:32:49.322000Z","submitted_at":"2023-04-28T09:29:10Z","title":"Machine learning-assisted close-set X-ray diffraction phase identification of transition metals","version":1},"cited_work":{"arxiv_id":"2305.15410","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.15410","snapshot_observed_at":"2026-08-05T21:46:38.153714Z","title":"Machine learning-assisted close-set X-ray diffraction phase identification of transition metals","venue":"cond-mat.mtrl-sci","work_id":"06d6ea43-bfb2-4fab-a0f7-3fa29f003ef1","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.790455Z"},"links":{"cited_paper":"/paper/2305.15410","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:54c3f983dbb312c90267bd44ce9b4b98b1d4c106301e15a25a25ba7887bc836a","observation_id":"b0c7da78-8551-4caa-b852-cb5b863390de","resolution":{"observed_at":"2026-08-05T21:46:38.204979Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:44.238910Z","title":"D.; Lee, J.-W.; Park, W","venue":null,"work_id":"4029b654-1c7a-48b4-8fb3-cad879f893a5","year":2022},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.871387Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:0b2713d6c3ef01c04cbacb7c382d2e23becbe366df3e14d39666d95eeee8efd5","observation_id":"0d0dc824-ffa4-425c-9406-eaf39a29d675","resolution":{"observed_at":"2026-08-05T21:46:44.346749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:44.006529Z","title":"M.; Naujoks, D.; Olds, D.; Ludwig, A","venue":null,"work_id":"1e55be15-c27f-459d-9ea1-4f1e9dc9e1bc","year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:34.984775Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:d7afedeaa8de1d5dfa2578ec32ca2a7a010804109315156d5fc24279f23f7dec","observation_id":"dac4b799-38f5-4f43-912f-c87c21286214","resolution":{"observed_at":"2026-08-05T21:46:44.082304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:43.830869Z","title":"Artifact identification in X-ray diffraction data using machine learning methods","venue":null,"work_id":"ab6d9a3e-26a2-404a-ab81-27dea7bd862c","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.059510Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f88e617dde14451956546fd6d5eeab4341211c10caae6a5426e5515c3e6be4d9","observation_id":"7f0f238a-22f8-4c83-99dd-7e959163e763","resolution":{"observed_at":"2026-08-05T21:46:43.928913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:43.651963Z","title":"N.; Stanovov, V","venue":null,"work_id":"8eb92530-1325-4255-97ed-66862de8b73b","year":2020},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.121667Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:fefda6304ba9ba0cafe05c078f124ede58189cff233e9dd7364f3758f2491017","observation_id":"a149e903-48f2-4079-b543-c456ed3258d1","resolution":{"observed_at":"2026-08-05T21:46:43.738760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:43.450735Z","title":"Proceedings of the National Academy of Sciences 2022, 119, e2109665119","venue":null,"work_id":"092078ff-85f4-4f27-a6c8-bc78135584ec","year":2022},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.215776Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:195630696cb5a9e2df3d036cad2dc105e929322921951a7724ccc18d477713ba","observation_id":"c3b94c66-6c1d-44bd-9e0b-13068eb38a60","resolution":{"observed_at":"2026-08-05T21:46:43.548902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:43.241595Z","title":"B.; Lee, J","venue":null,"work_id":"2320d855-4d48-4449-a442-125bbb8ceea7","year":2020},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.274501Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:2edf9835432dd63860d557a781c6130cd353f86e962efdd06dafda3af746778d","observation_id":"c6948951-6d76-43b4-b0a8-c5dd8c6245ea","resolution":{"observed_at":"2026-08-05T21:46:43.334443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:42.923273Z","title":"M.; Banko, L.; Cui, P.; Lysogorskiy, Y.; Little, M","venue":null,"work_id":"3630aed8-db47-48a3-8680-8f819485ec77","year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.359492Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:2ec026e99288040661598a6a236e6ba4ca83961ae72051a1fad782b3d77c2e6c","observation_id":"40fe6d89-3a6d-4479-b6a7-916173f09fc7","resolution":{"observed_at":"2026-08-05T21:46:43.046206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:42.768722Z","title":null,"venue":null,"work_id":"9d0b4aec-8731-41e0-8e42-f86f216f990d","year":2019},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.448681Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:ed8b6a67e6f1d5075220496d1ce04ddf8a8cee4707f541cf31baa857f752e6a7","observation_id":"3156d07b-df45-4613-a54e-31bcbab4d619","resolution":{"observed_at":"2026-08-05T21:46:42.846245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:42.578084Z","title":"Crystal Structure Assignment for Unknown Compounds from X-ray Diffraction Patterns with Deep Learning","venue":null,"work_id":"686ce420-9193-4977-a67d-4800113447a8","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.514731Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f03e5b5d762a73f1079e33a40e159647f1fd0c26fa7ab24ad9ca52d97c282bda","observation_id":"edfeb18d-3986-42f3-973c-096bb807062b","resolution":{"observed_at":"2026-08-05T21:46:42.650292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:42.368739Z","title":"Machine learning-accelerated discovery of novel 2D ferromagnetic materials with strong magnetization","venue":null,"work_id":"c1056441-05d8-438a-8b07-2361697458f7","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.570942Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:410ba7719ce0545e36f5c174db27bb32b5c80288db4209e42d3a14ec7bc04063","observation_id":"711f4519-4682-42c2-90ec-b7305b66052c","resolution":{"observed_at":"2026-08-05T21:46:42.493667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:42.147037Z","title":"Advancements in High-Throughput Screening and Machine Learning Design for 2D Ferromagnetism: A Comprehensive Review","venue":null,"work_id":"154c0e39-6fe8-4b00-9958-c0d0a358a4b4","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.668886Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:63b2d1c8ca396dfc1d0a88dedce0e34a2d5323fb6f625daa9a3529bcb19783fc","observation_id":"30165cd9-4e03-4245-8c81-250fcc6e0a5c","resolution":{"observed_at":"2026-08-05T21:46:42.222554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:41.924056Z","title":"AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design","venue":null,"work_id":"a242b56e-d85c-4935-bf47-43b01c0a9e5c","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.721050Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:7e171bbca96d3b1135c202b75034a35b20c135d87c2ba783e513ee4148535500","observation_id":"ed1f8f98-1163-4c2f-a142-773dd2904c82","resolution":{"observed_at":"2026-08-05T21:46:42.026885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:41.684769Z","title":"N.; Kaiser, .; Polosukhin, I","venue":null,"work_id":"e5c6d427-a26f-4ddc-92a5-29708a6ec4aa","year":2017},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.780141Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:837cddba5736e8932efa5dabc11da1afb95490d78f721fba9373e5a8c81be1ab","observation_id":"8eeca53b-3f1f-4ce8-8a84-54b26a1b3719","resolution":{"observed_at":"2026-08-05T21:46:41.793259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:41.503501Z","title":"O'Reilly Media, Inc","venue":null,"work_id":"439eba63-33aa-4a93-b8f4-c10e4aa13489","year":2022},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.877671Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:7391d1e70f08e51a6691384e8182d896b51abe09b69e048446b355cef6768308","observation_id":"27d5b3bf-06ee-441c-a04d-848017d4fb76","resolution":{"observed_at":"2026-08-05T21:46:41.582004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:41.289490Z","title":null,"venue":null,"work_id":"51b26ad7-5b23-43b3-872f-6461b5c60072","year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:35.924916Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:a121046a29c5691138b84e4dfab66bb6304add9ee49a9210429784872819d98b","observation_id":"8c8384eb-5b17-42c1-aceb-73ca1070e5f3","resolution":{"observed_at":"2026-08-05T21:46:41.372237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:40.983622Z","title":"A brief overview of ChatGPT: The history, status quo and potential future development","venue":null,"work_id":"1738b80a-e242-422a-8c42-9d4b25028f79","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.010801Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:7063f6d4959d4256ddb249fdbe620e0667d9049550855b3520b69a78f20de570","observation_id":"4aea8aed-0687-4ddd-b1b6-b52f90d45aca","resolution":{"observed_at":"2026-08-05T21:46:41.115403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.26434/chemrxiv-2023-xl6w3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:46:37.983010Z","title":"F.; Picciani, P.; Salles, B.; Follmer, C.; Oliveira Jr, O","venue":null,"work_id":"b6079ff4-54dd-428b-8dc2-d8910db135da","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.142139Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:cc5b436f7510064e8559bf2ed90d041a2df8cd7ce5fe572ad18b91bacf2aee73","observation_id":"5f12686d-cc1b-4935-b3cb-7bf498969e9c","resolution":{"observed_at":"2026-08-05T21:46:38.028615Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:40.784309Z","title":"M.; Schwaller, P.; Ortega-Guerrero, A.; Smit, B","venue":null,"work_id":"5797992e-f666-4d4a-aed1-b00a7d2563b3","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.230901Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:b716bfc57a31d9e0655b77384b63c7e3dece49432767efc7dfb81df1e8443fe7","observation_id":"65a61c9a-add6-4e03-a11a-72a1865de0d6","resolution":{"observed_at":"2026-08-05T21:46:40.838683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:40.421067Z","title":"P.; Morgan, D","venue":null,"work_id":"453a2ba3-6f80-42ce-9e8f-f4921d623524","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.299278Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:c12e44c8c950dfa50a5a1d6a7cc30e8706185d9c14d52795c5339b8d858b526e","observation_id":"187fdcb1-5657-4154-be15-ac348f1fc45a","resolution":{"observed_at":"2026-08-05T21:46:40.619650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:40.192670Z","title":"F.; DeCost, B.; Biacchi, A","venue":null,"work_id":"ec11002e-dcc8-409f-b836-70c82f38f45b","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.371912Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:7aae19d29d66813d32392d7a6a32804195172109d87a297f803f2694e404552e","observation_id":"59b01e37-98d4-4092-8f44-c2b9fda5bd19","resolution":{"observed_at":"2026-08-05T21:46:40.325020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:39.907443Z","title":"F.; Reid, A","venue":null,"work_id":"2dd3d236-a7d8-42d4-9b3d-30c482a97722","year":2020},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.475370Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:95a6eb1c04a91b0eb732c38f2717ede422d12330981495bf970afe87085d70e9","observation_id":"e3a2b542-fc2c-4c1b-8076-dcc07e3e2352","resolution":{"observed_at":"2026-08-05T21:46:40.047199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-05T21:46:36.512609Z","title":"Q.; Sablayrolles, A.; Mensch, A.; Bamford, C.; Chaplot, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.512609Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:96d0cf8e657b586618d5c622e4bfe6b262173d8ad7f71ad9829eda1bf5c2d810","observation_id":"914a1298-3249-47fe-b905-f3d3bcce10fd","resolution":{"observed_at":"2026-08-05T21:46:36.512609Z","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":"2026-08-05T21:46:36.568724Z","title":"Nature 2021, 596, 583--589","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.568724Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:5e90c3ce88a403b60e56ed28feece9a528279e5097ea0d2fc3ef61a43cc2743e","observation_id":"17459217-59d6-474f-99cf-7a813523ee6d","resolution":{"observed_at":"2026-08-05T21:46:36.568724Z","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":"2026-08-05T21:46:39.677740Z","title":"C.; Chowdhury, S.; Van Nguyen, N.; Trautt, Z.; Newrock, M","venue":null,"work_id":"8de0552c-28d5-4f5f-b6e2-ba894189cfe5","year":2018},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.625005Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:a5956b837fff64445e7408772eefde0b42a4a934a649011fd4f2b911e2ca6a75","observation_id":"a3d80fd2-5599-4e74-89bb-84eab4ef46b1","resolution":{"observed_at":"2026-08-05T21:46:39.777334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-05T21:46:36.764990Z","title":"J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; Chen, W","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.764990Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:c6cc6b5f975e1d4170ada7d1dff8e43df62071862a529fca6cdb249f384acd88","observation_id":"043d03da-878d-41b0-a75d-9153bcb22d7c","resolution":{"observed_at":"2026-08-05T21:46:36.764990Z","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":"2026-08-05T21:46:39.462743Z","title":"https://github.com/unslothai/unsloth, Accessed: 2024-10-10","venue":null,"work_id":"08f4e915-894b-43a3-9f02-32ad968d2870","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.895340Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:d6a795cda6dbd51a975e83a2d1c73ccb692b414eb3b24f6eb153772bde361133","observation_id":"a4e4ffed-ee94-4067-b1de-66dfde417d8b","resolution":{"observed_at":"2026-08-05T21:46:39.565742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-05T21:46:36.988847Z","title":"arXiv preprint arXiv:2307.09288 2023, [Accessed 10-10-2024]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:36.988847Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:962ecd2d57d970f75fa1688d07116332b24d4d12444e52dbc6e727051480d13a","observation_id":"8e9c7eca-6a58-4b86-af96-393d38c05a92","resolution":{"observed_at":"2026-08-05T21:46:36.988847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T21:46:37.107664Z","title":"arXiv preprint arXiv:2302.13971 2023, [Accessed 10-10-2024]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.107664Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:e0e6d576f7f39dd16ea2bdd665557b924f9c7afcf884bbe78f84ea48b552d6c8","observation_id":"1a85a36e-b6f1-4de9-a079-a78b9bfc79fd","resolution":{"observed_at":"2026-08-05T21:46:37.107664Z","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":"2026-08-05T21:46:39.210805Z","title":null,"venue":null,"work_id":"3a4b7679-a717-4d29-9fa4-8faaf355e504","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.188140Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:bb717935e67b28121b0b82b1d123482e069c33721a119109d62a227f1fdbc9d5","observation_id":"2ef8bf9a-8ffb-4dcc-a7d1-2055ef0346ab","resolution":{"observed_at":"2026-08-05T21:46:39.333239Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:39.114952Z","title":"Roformer: Enhanced transformer with rotary position embedding","venue":null,"work_id":"43b8f9bb-62a4-46a9-a9fb-3e361232ad05","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.301178Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:e41bcc6a818d321c84d5f62dbc24494714f26139bdd2be5ec879a6ae92bc0be1","observation_id":"a169c9dd-d2fb-47f3-908f-a0f1d907811c","resolution":{"observed_at":"2026-08-05T21:46:39.152891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:37.358743Z","title":"P.; Richards, W","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.358743Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:74d11d59bb0d3aa79821d96aa2887798197d1e61f169480f29975c5ef36a43db","observation_id":"a96572fe-c969-4f0a-8dbb-30ba3e41b134","resolution":{"observed_at":"2026-08-05T21:46:37.358743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06197","last_updated":"2022-03-14T13:36:09Z","snapshot_observed_at":"2026-08-02T15:20:57.263348Z","submitted_at":"2021-10-12T17:49:49Z","title":"Crystal Diffusion Variational Autoencoder for Periodic Material Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06197","snapshot_observed_at":"2026-08-05T21:46:37.425652Z","title":"Crystal diffusion variational autoencoder for periodic material generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.425652Z"},"links":{"cited_paper":"/paper/2110.06197","citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:e2e75968b10761ccd1076f85fb249d6f83d73f80ef7ae73b93fbb2194b2b8ebd","observation_id":"bc5e93d1-d1af-44a4-8bc6-4332af8d13e1","resolution":{"observed_at":"2026-08-05T21:46:37.425652Z","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":"2026-08-05T21:46:38.987579Z","title":"Mlatticeabc: generic lattice constant prediction of crystal materials using machine learning","venue":null,"work_id":"60dede2d-634a-4825-8353-fe245d3fa4c1","year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.474365Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:452dc24bcaa892da90493a376ff0830fc9a237f075bad66b5b3010bf2afac8c2","observation_id":"9047fb73-3dad-4a7b-b339-5878240441db","resolution":{"observed_at":"2026-08-05T21:46:39.040325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:38.869832Z","title":"Unified graph neural network force-field for the periodic table: solid state applications","venue":null,"work_id":"02c657ac-309d-4151-b650-8dcfab1c9665","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.553559Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f18328a131918f012ed7afbede84d3cdf0c9570b8f7357a7841737f1e7977a05","observation_id":"d61c165c-cd82-4c43-b51d-b8554807e3e9","resolution":{"observed_at":"2026-08-05T21:46:38.923879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:38.706592Z","title":"npj Computational Materials 2021, 7, 115","venue":null,"work_id":"7e107f1d-e10f-4c69-8f52-196f380dd114","year":2021},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.647823Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:2532548f3c2c9df5d28d43d65ad761e5bee373c52ea7d774fe9b3b9911918eb2","observation_id":"d5a836ef-8b42-4ea1-84df-37a600715d2a","resolution":{"observed_at":"2026-08-05T21:46:38.786150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:38.586249Z","title":"Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials","venue":null,"work_id":"94159745-58aa-4ccf-9c31-81f50617989c","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.703199Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:3c86e24d19cd96a5462b155e660167f9c921275538f651cd7d69e6981e6ceaab","observation_id":"84569975-1fb7-42e3-a587-5951845b3355","resolution":{"observed_at":"2026-08-05T21:46:38.639713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:38.406254Z","title":"J.; Cabana, J.; Cherukara, M","venue":null,"work_id":"ef68cabd-95ac-424a-aba4-a6f49d1f678a","year":2023},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.791489Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:6fd5b88fe799f7ce7411394286c832fca2c2082f7ca28b89e364b556558510c9","observation_id":"67e20455-3e77-4569-8fcb-6278ed2d2311","resolution":{"observed_at":"2026-08-05T21:46:38.498018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T21:46:38.302880Z","title":"and ``The chemical formula is ... The XRD is ... Generate atomic structure description with lattice lengths, angles, coordinates, and atom types,","venue":null,"work_id":"02c4fc31-f97c-48f4-adae-3587847d032b","year":2024},"citing_paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T21:46:37.876776Z"},"links":{"citing_paper":"/paper/2508.08349"},"observation_digest":"sha256:f0e9b6efe6b5f36df9d989ca2d81944f3d3d80d22dd67a963bf9db84c6c55dda","observation_id":"5af5df54-52ec-43b4-95d6-02021be980ec","resolution":{"observed_at":"2026-08-05T21:46:38.356963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.08349","last_updated":"2025-08-11T13:17:20Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-08T00:32:03.527429Z","submitted_at":"2025-08-11T13:17:20Z","title":"DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":41},"total_outbound_references":55},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2508.08349."}