{"as_of":"2026-08-07T04:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c98b137701ad10b001a92be89cf0a1e5a783d162855ddd3c61067b8e2cd2c61","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:55:04.024042Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T23:00:13.214367Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T12:38:07.708554Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2507.17448","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.17448","snapshot_observed_at":"2026-07-03T12:38:07.708554Z","title":"arXiv preprint arXiv:2507.17448 , year=","venue":null,"work_id":"ed1de7bf-81eb-4744-b8f7-92bc92c9a866","year":2025},"citing_paper":{"arxiv_id":"2606.07181","last_updated":"2026-06-05T11:45:36Z","snapshot_observed_at":"2026-07-06T23:46:51.468468Z","submitted_at":"2026-06-05T11:45:36Z","title":"RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-27T23:00:13.214367Z"},"links":{"cited_paper":"/paper/2507.17448","citing_paper":"/paper/2606.07181"},"observation_digest":"sha256:78e5e755f7adece5e7d2dec253ed11090987469f1de195dfaa466b1f51ffa1c7","observation_id":"740421ae-f8ea-49d9-9ee5-4063791fcc64","resolution":{"observed_at":"2026-07-02T16:07:08.919900Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2507.17448","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.17448","snapshot_observed_at":"2026-07-03T12:38:07.708554Z","title":"arXiv preprint arXiv:2507.17448 , year=","venue":null,"work_id":"ed1de7bf-81eb-4744-b8f7-92bc92c9a866","year":2025},"citing_paper":{"arxiv_id":"2606.11589","last_updated":"2026-06-10T02:34:51Z","snapshot_observed_at":"2026-07-06T23:50:39.386691Z","submitted_at":"2026-06-10T02:34:51Z","title":"Large Language Models in Process Systems Engineering: Opportunities, Architectures, and Industrial Deployment Challenges","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-06-27T08:54:30.126418Z"},"links":{"cited_paper":"/paper/2507.17448","citing_paper":"/paper/2606.11589"},"observation_digest":"sha256:57b17dbb0f59aa2235f435975e188c5f63126ab32d0cc02bf5f35da956eb46ea","observation_id":"abcb3b60-5a17-475e-a7e4-268a6dd8c3fb","resolution":{"observed_at":"2026-07-03T12:38:07.710522Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2507.17448","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.17448","snapshot_observed_at":"2026-07-03T12:38:07.708554Z","title":"arXiv preprint arXiv:2507.17448 , year=","venue":null,"work_id":"ed1de7bf-81eb-4744-b8f7-92bc92c9a866","year":2025},"citing_paper":{"arxiv_id":"2606.12113","last_updated":"2026-06-10T14:07:18Z","snapshot_observed_at":"2026-07-06T23:51:02.805629Z","submitted_at":"2026-06-10T14:07:18Z","title":"Augmenting Molecular Language Models with Local $n$-gram Memory","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-06-27T09:57:12.398344Z"},"links":{"cited_paper":"/paper/2507.17448","citing_paper":"/paper/2606.12113"},"observation_digest":"sha256:5a5a08ea568db541e1b48c8b2987180226d11e1e567fcfe737387017a9c43dc9","observation_id":"847b5a98-d051-4f87-9680-83e6ce19dcf1","resolution":{"observed_at":"2026-07-03T10:37:56.669482Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.17448/citation-record","integrity":"/paper/2507.17448/integrity","json":"/paper/2507.17448/citation-record.json","paper":"/paper/2507.17448"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:55:04.877045Z","title":null,"venue":null,"work_id":"11f6ac78-29d0-4440-afdd-bd237d154842","year":1991},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.785271Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:6667b9570b4cc27a304f7e831450f65fab79b1a25dc83dbae804131ae16fc483","observation_id":"c98cfe9b-65db-4c8e-84e7-cbed2e694dd8","resolution":{"observed_at":"2026-08-06T14:55:04.880751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.868560Z","title":"J., Long, A","venue":null,"work_id":"5ed3d236-9a31-46e9-9bc5-f722ab00ac2f","year":1985},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.789115Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:5b41b226e4517b3be912b2f7f54ab17bff16c9dc825caa2c8cbdff71714d3c31","observation_id":"127a3f6e-3cbc-4f23-a968-69745ad57c5c","resolution":{"observed_at":"2026-08-06T14:55:04.871302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.859244Z","title":"W., Rogers, L., Green, W","venue":null,"work_id":"746ae61d-af3e-45ed-95d9-170facd33706","year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.792671Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:06fa2e5f14ac24d4b85ccc57870252f5fe099f7d617a90e1a65309ca66c75e59","observation_id":"81f09f56-a251-45b0-b4c5-70f36cba6297","resolution":{"observed_at":"2026-08-06T14:55:04.861980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.849284Z","title":null,"venue":null,"work_id":"34882e7c-4d36-46eb-996d-2cd4ba5aeeb2","year":2005},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.795779Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:d3f821f897f4ca80e8ca88f949ca861905b67c7d16f72ea11dfed486ae70fdd3","observation_id":"b4bb51d4-162f-4c7e-989e-e98a03bab383","resolution":{"observed_at":"2026-08-06T14:55:04.852798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.839464Z","title":"& Song, L","venue":null,"work_id":"d00173bf-630b-45ad-b5be-c2fe202d2606","year":2019},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.799203Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:bb5b084c0dd851d3f36ea3c47bb50f2b9c99eead515797c18dcaf6ed5f7d3af7","observation_id":"c4c7b056-d70a-4ecd-b70b-ee4baf0235f0","resolution":{"observed_at":"2026-08-06T14:55:04.843197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.829798Z","title":null,"venue":null,"work_id":"95e1d514-feb2-46fd-9183-003019e3a37a","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.802875Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:67bf715a3b6fc21ff4a15ce2654affe3f71a38b6470f419583f7fe5a13fd0c21","observation_id":"7873d870-332b-41e5-80a7-e635e6ebaf04","resolution":{"observed_at":"2026-08-06T14:55:04.833174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.819793Z","title":"& Chen, C","venue":null,"work_id":"c764cd9d-88da-4a5d-98fd-2c2b19d9c378","year":2023},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.806576Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:e0b6df253a319c430de262235dcac00311bc3a177c6fa47c2b0a03f646528c35","observation_id":"a6c4c785-30e9-40c5-acf3-2c40eb671382","resolution":{"observed_at":"2026-08-06T14:55:04.823012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.810318Z","title":"R., Fuchs, J","venue":null,"work_id":"12b66e31-1fc2-478d-9b93-91acd15f1668","year":2023},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.809698Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:d0e787d77c789b1cb88377bde76422d95bad5cc36542df47be7fa0862f495367","observation_id":"08e20738-2cda-47b9-b218-099b8a98cb4a","resolution":{"observed_at":"2026-08-06T14:55:04.813382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.802037Z","title":null,"venue":null,"work_id":"741b8f1e-6d6f-435f-aa23-cd5cb9f799ba","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.813425Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:ffa39c059f96a54c3da97e407513ac7c3dfad084f700da57dbe98860b4395617","observation_id":"9e0d8dd6-606b-4bfa-8e54-6d41eeb25139","resolution":{"observed_at":"2026-08-06T14:55:04.804663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.793343Z","title":"& Koltun, V","venue":null,"work_id":"5b89b7c3-cf61-4b5a-8a78-9d9f386c9048","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.816581Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:8318a22b5515f7726bc96dbd275b689df223543d7cd7c3d3cb32376fd5362475","observation_id":"bf7aa4d5-5bc3-47b7-a986-8df68e66a5b8","resolution":{"observed_at":"2026-08-06T14:55:04.796082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.784082Z","title":null,"venue":null,"work_id":"a0b9eb52-db9a-4b89-8776-029d65327169","year":2022},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.820326Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:3bb67220e54ab764a01ed009fbb5e2655bc7e4f796655c542eb9b7edb575ad32","observation_id":"4a335752-0b7a-4a54-abd2-423ca1ec55a8","resolution":{"observed_at":"2026-08-06T14:55:04.787084Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.774945Z","title":"& Jung, Y","venue":null,"work_id":"68413f1b-72ac-4e69-b552-f0e7e274c64b","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.823626Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:227bd89e7a25e670ab8141bc407c1d5864c10b8959ae8113345b6130f9313277","observation_id":"7c345523-8625-4670-b334-d453332905f0","resolution":{"observed_at":"2026-08-06T14:55:04.778241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.763889Z","title":null,"venue":null,"work_id":"12fd8fc5-e1c2-4c54-a919-f75998ecba49","year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.826713Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:255b1231d879f10cf6d2f3c8fe99bd54feaaa2d643537ecf5ca1610447bd6024","observation_id":"b9c1afa6-f6ae-4af8-b321-7c0dec876204","resolution":{"observed_at":"2026-08-06T14:55:04.767248Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.753154Z","title":"& Tetko, I","venue":null,"work_id":"c84038dd-3d71-4360-9a35-3763903576fc","year":2019},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.830133Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:0c1e44dff25217b873e5ff2783262614c9736f37a0022762e420dfda96108612","observation_id":"eba70117-2a30-45f6-94f1-36d14748ce5c","resolution":{"observed_at":"2026-08-06T14:55:04.756600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.743131Z","title":"& Yang, Y","venue":null,"work_id":"130c40bc-25d5-4b01-801a-b37fca133c53","year":2019},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.833666Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:e7856e1af6282e0f05172cb4aab355ff75e1513526aece7e9af3018530e3bba9","observation_id":"5deb1ff8-3f04-4d60-8e1d-845a4ecdc97e","resolution":{"observed_at":"2026-08-06T14:55:04.746336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.732807Z","title":"V ., Karpov, P., Van Deursen, R","venue":null,"work_id":"323b9613-7386-48df-bc35-748f5508be47","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.836837Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:af0aaa3cb8078e5fb0980619827c0c7f84e039018a9549d1bd9522ff90b5c707","observation_id":"8798c3c8-8590-46c1-95b9-949b6fc84604","resolution":{"observed_at":"2026-08-06T14:55:04.736162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.723570Z","title":"& Lai, L","venue":null,"work_id":"5f526fcd-c95c-4f2b-b742-bca82dab7dc0","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.839964Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:571511b312ab2b6fddeff9dd8a982f6692663edb1902859469de9835c31ddc80","observation_id":"87a9bb11-c127-4206-9d60-e5534c4be464","resolution":{"observed_at":"2026-08-06T14:55:04.726619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.713905Z","title":null,"venue":null,"work_id":"89b8eccd-a90e-44f4-81ab-65c904cea9f0","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.843094Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:92f6fdc5aa67c351f99f7723e2e27882723e7de71140b713be57ef5d8176860c","observation_id":"63cb5ec1-621c-4729-a270-ef2ab1f5ca08","resolution":{"observed_at":"2026-08-06T14:55:04.717158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.704469Z","title":null,"venue":null,"work_id":"f5ac233a-6f9b-4417-91fb-db90f4677f80","year":2022},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.846989Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:8b2f134eb81bf3f2afff5e06fa0a8944c3cb89bd414931cba47181066891f9b4","observation_id":"e35de42e-5795-4418-b1b9-900063df56e5","resolution":{"observed_at":"2026-08-06T14:55:04.707384Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.695411Z","title":"Retrosynthesis prediction with an iterative string editing model","venue":null,"work_id":"a479fa13-c64e-4eaa-90cf-c94bdb5b490d","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.849726Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:a158b6d35e5dc9e54ee57cabc3255df4b2498fe4729a57dcdeb76b28ab2718f2","observation_id":"862b1489-1f18-49f4-ae8b-3d050c59cdff","resolution":{"observed_at":"2026-08-06T14:55:04.698501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.684973Z","title":"Smiles, a chemical language and information system","venue":null,"work_id":"7767d1a5-f5f4-4f83-a48c-9380113b071e","year":1988},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.852563Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:a4a7f7920c4aecad1f6f750a4c8e6671181869588bfd14be0430c11c85c2d607","observation_id":"268aa8aa-ebcb-4b8a-aba9-d901f0ed2f59","resolution":{"observed_at":"2026-08-06T14:55:04.688718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.675352Z","title":"& Schmidhuber, J","venue":null,"work_id":"df11a599-7b8f-4516-a84f-450d31b98065","year":1997},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.855778Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:fb5a848607ef4e53405ad0278e175b22ac51b95746c3a2fa9c1dc50a90878693","observation_id":"4d0c05f2-39c2-41bb-9a13-f42bf65b7d65","resolution":{"observed_at":"2026-08-06T14:55:04.678472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.665247Z","title":"Attention is all you need","venue":null,"work_id":"5ac1dcae-249a-4b26-8257-b17fb2adf259","year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.858998Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:2cf780ad4c2df97cc23e68e4df1a7ce390e61bb768d698aeccb48155356339fb","observation_id":"439a2fbe-9c2d-40e0-8d76-386b995637df","resolution":{"observed_at":"2026-08-06T14:55:04.668229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:03.862114Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.862114Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:280bdebf1afaf700e4ab0c9e5b5afd5c17c9e53c5dcf41774f59232878df1ff8","observation_id":"74029449-d84c-4c29-b1c0-a475ffc0c8b2","resolution":{"observed_at":"2026-08-06T14:55:03.862114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T14:55:03.865220Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.865220Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:1515b4b4494e8efa589640e9aaf1ac190e6143ecb6ade8fba6d819a224ee99c8","observation_id":"2b3ca509-99bc-45d9-b70f-1d11e0d5f2b6","resolution":{"observed_at":"2026-08-06T14:55:03.865220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16720","last_updated":"2026-04-30T02:46:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-21T18:04:31Z","title":"OpenAI o1 System Card","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16720","snapshot_observed_at":"2026-08-06T14:55:03.868595Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.868595Z"},"links":{"cited_paper":"/paper/2412.16720","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:a1825bf8bee6b13079cb6f85976bbbb54e39f9be3d4803513b517b409ca216b3","observation_id":"2f3e9773-379c-426b-b024-af53fd2e6bfe","resolution":{"observed_at":"2026-08-06T14:55:03.868595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12662","last_updated":"2022-10-09T05:04:31Z","snapshot_observed_at":"2026-07-06T13:13:48.138379Z","submitted_at":"2022-05-25T11:17:16Z","title":"DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning","version":2},"cited_work":{"arxiv_id":"2205.12662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12662","snapshot_observed_at":"2026-08-06T14:55:04.283332Z","title":"DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning","venue":"cs.CL","work_id":"015d6a60-8efe-400b-ae07-9f6b625cf802","year":2022},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.871974Z"},"links":{"cited_paper":"/paper/2205.12662","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:8183f877cbb1aebcfa58ee7fc22d2a38f3dbcf216d48d3a56ea576d97c0e70c7","observation_id":"57f526a6-7206-45c1-8bcb-21bd8d282035","resolution":{"observed_at":"2026-08-06T14:55:04.288953Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T14:55:03.876183Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.876183Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:df2dfb1dcba348881347adcf01d7c47ddd33e3fba4e2b92a8fee758ae1a1684d","observation_id":"38c03fc1-59e9-4650-8e17-ccd91b092d61","resolution":{"observed_at":"2026-08-06T14:55:03.876183Z","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":"2026-08-06T14:55:04.650424Z","title":null,"venue":null,"work_id":"ad7936b0-fbb1-4bba-9fa1-ec5bebbe3f2c","year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.880080Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:364feff04ae290220167339b938b51ce59c4dc6cbfef5137167c1ccca9a79c20","observation_id":"dd63b5fc-98d2-4ce5-8622-ea1315fbb161","resolution":{"observed_at":"2026-08-06T14:55:04.653088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.641815Z","title":null,"venue":null,"work_id":"b906874b-b6f7-4126-9309-ade8dbb68fc4","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.883307Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:ca9ab27ff05832bce6bb13df33d4c7500e24fc6e7ff598eba9ef0b966588ca79","observation_id":"d9457d16-106e-4234-a53a-8ae8342257a0","resolution":{"observed_at":"2026-08-06T14:55:04.644798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06852","last_updated":"2024-04-25T14:34:28Z","snapshot_observed_at":"2026-07-06T17:28:18.945477Z","submitted_at":"2024-02-10T01:11:59Z","title":"ChemLLM: A Chemical Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06852","snapshot_observed_at":"2026-08-06T14:55:03.886568Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.886568Z"},"links":{"cited_paper":"/paper/2402.06852","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:345555cdfe40def78d21a35ad37f98a772b5992dccfa2b5bbb99df3b6d3fe689","observation_id":"9e1ae938-b622-4edf-92ec-6979b2f01790","resolution":{"observed_at":"2026-08-06T14:55:03.886568Z","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":"2026-08-06T14:55:04.633140Z","title":"N., Chen, Z., Ning, X","venue":null,"work_id":"2ed668fb-9573-4d77-9572-8fb94f570b34","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.889998Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:3753341ae15dee0a09f35728b50441c48b2995aa396e2acb222e1974adf2d448","observation_id":"5801e441-d905-4604-a6f4-b69000663f83","resolution":{"observed_at":"2026-08-06T14:55:04.636081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16326","last_updated":"2025-08-04T06:14:13Z","snapshot_observed_at":"2026-07-06T21:28:20.028748Z","submitted_at":"2025-05-22T07:32:17Z","title":"ChemMLLM: Chemical Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16326","snapshot_observed_at":"2026-08-06T14:55:03.893345Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.893345Z"},"links":{"cited_paper":"/paper/2505.16326","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:2e95ca385d45261eff444d681be32d3d59bcf26a33844208cedab89fb89b9b6c","observation_id":"90b591b5-4d7a-4d35-95cd-ffd6e1bc3a99","resolution":{"observed_at":"2026-08-06T14:55:03.893345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14476","last_updated":"2025-05-20T01:37:34Z","snapshot_observed_at":"2026-08-02T01:40:54.187278Z","submitted_at":"2025-03-18T17:49:06Z","title":"DAPO: An Open-Source LLM Reinforcement Learning System at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14476","snapshot_observed_at":"2026-08-06T14:55:03.896470Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.896470Z"},"links":{"cited_paper":"/paper/2503.14476","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:776a26f302ccf6802084b41fd2a2fd690347a9c01eee075f6ff61f43f82ed013","observation_id":"d0521c97-f1b3-460d-bd44-51f356b99baa","resolution":{"observed_at":"2026-08-06T14:55:03.896470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04548","last_updated":"2025-03-06T15:34:27Z","snapshot_observed_at":"2026-08-06T13:29:31.100373Z","submitted_at":"2025-03-06T15:34:27Z","title":"An Empirical Study on Eliciting and Improving R1-like Reasoning Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04548","snapshot_observed_at":"2026-08-06T14:55:03.899694Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.899694Z"},"links":{"cited_paper":"/paper/2503.04548","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:6004e83ab8d29b113aeb24f84bc17d76e9dedd5f237a222946ebb1d3c10c9a1b","observation_id":"6d6b4f97-6902-456c-ba54-d30bb5150131","resolution":{"observed_at":"2026-08-06T14:55:03.899694Z","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":"2026-08-06T14:55:04.624492Z","title":null,"venue":null,"work_id":"fc924cf2-990d-4831-b7d8-6fe20d4f5b37","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.903056Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:08b45a3d83423a985cf5a0e32c7ae0a37000ba7a2a28d6bc06169a4b7cb83dd1","observation_id":"66f47a51-5a87-456a-ad80-4d2613cd931b","resolution":{"observed_at":"2026-08-06T14:55:04.627511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.615516Z","title":"& Landrum, G","venue":null,"work_id":"a3efb509-bcea-4b16-91b4-902c1d688ebb","year":2016},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.905906Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:85760dd11b41cf950bc6ae10fd87037ad9f41d281f7e558d71c5e85b8b30bc8d","observation_id":"c01fd655-d20e-488f-98d5-5c8773c932f0","resolution":{"observed_at":"2026-08-06T14:55:04.618897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.606256Z","title":"& Jaakkola, T","venue":null,"work_id":"e92fec2d-6fbb-4dcd-8d87-3dfda281cd42","year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.908823Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:173d8b00c0e041100cb5ba58744f416b5b3f16508da59a0bd6ec78b6f4243cf2","observation_id":"4dab5ba1-fc49-467a-b0f2-29586c914711","resolution":{"observed_at":"2026-08-06T14:55:04.609547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-06T14:55:03.911599Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.911599Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:cbd53d8044bf842396714ee09f2495863846dbda3c3ca6795287d230a86ab237","observation_id":"c9b167ee-fcf2-48ed-8497-022fec57cd47","resolution":{"observed_at":"2026-08-06T14:55:03.911599Z","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":"2026-08-06T14:55:04.596437Z","title":"Introducing gpt-4.1 in the api (2025)","venue":null,"work_id":"57ccfd78-d88e-4a68-978e-991882327c22","year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.914413Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:f14314ce2eaafbf35d2e7ae1611ed510347b34493e64cbc4ed25998ffdce42f1","observation_id":"3f5b0edd-f784-4a5d-ae0f-d93dc8ec877a","resolution":{"observed_at":"2026-08-06T14:55:04.599731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-06T14:55:03.917169Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.917169Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:f36508d19551da9876cee23ef46ebd7a381ecd3bb39c99064399b9c7e7cb1cbf","observation_id":"6aee2d33-9723-451b-9e0f-7f7d89e88b5d","resolution":{"observed_at":"2026-08-06T14:55:03.917169Z","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":"2026-08-06T14:55:04.587179Z","title":"Introducing openai o3 and o4-mini (2025)","venue":null,"work_id":"d0fad36a-a1df-46e0-a061-0ca184810427","year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.920149Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:023b38f5d57bee60a730728b219e8acda52c330e760c1ab93cab3e439850f0c4","observation_id":"df3a4f21-6b5c-415a-ba0c-2aae3ddd9b7d","resolution":{"observed_at":"2026-08-06T14:55:04.590097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.578241Z","title":null,"venue":null,"work_id":"39893a9d-24e3-415c-90f0-e23878059c10","year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.923312Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:dd7e8f586e9bf480d8961b14b95e527ea98e603fdd3fceb03de886b723d262bb","observation_id":"245c2cbb-9c44-4ff9-b2a7-bea4b45645ed","resolution":{"observed_at":"2026-08-06T14:55:04.580863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.569394Z","title":"& Tang, J","venue":null,"work_id":"2e0cf601-8a17-4fb7-b920-a445487d8dfd","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.926109Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:872145d3619ee09889fe0899b7b2c3fbec71ff45ffcb307003c96b9fd19990d4","observation_id":"160c3d05-7618-47ff-99ef-48eda6687914","resolution":{"observed_at":"2026-08-06T14:55:04.572512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.559370Z","title":null,"venue":null,"work_id":"73d30827-e612-489a-a240-3fa0147624fa","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.928888Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:fa87c69ca1dbf174c2d6d79b38eba8295afb32c864fc677bd9211cd49e680a1b","observation_id":"9de95205-8d31-4bb9-924f-50880868ad66","resolution":{"observed_at":"2026-08-06T14:55:04.562960Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.550651Z","title":"R., Bunne, C., Coley, C., Krause, A","venue":null,"work_id":"5a9c57b1-412b-4d0e-a279-bd51bc94686e","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.931577Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:9dbce86ffe456c0ef9df3c3c4e91a4481d41baf7d6680b53ff32b73141e6c148","observation_id":"e607d497-5af7-4ddf-9c2b-9d4a0bdda8bd","resolution":{"observed_at":"2026-08-06T14:55:04.553789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.541762Z","title":null,"venue":null,"work_id":"423822ec-e7dd-4aba-af25-718dbab5fb82","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.934360Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:38820321c5bec9073d3c81347fddcbc2ae198210a94574c4f97677a48e73f4bf","observation_id":"c73238b3-efd8-4cc2-a8d3-89566418edd9","resolution":{"observed_at":"2026-08-06T14:55:04.545085Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.532068Z","title":null,"venue":null,"work_id":"a356deca-1a29-4d44-9f5d-75b458f2cfae","year":2021},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.937190Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:f2922003af06226222512a65a2d8e16df0693e3a690f06e49d2394a185e7f46f","observation_id":"b6c0d319-5a7d-41f9-bc58-58e0b0f9f154","resolution":{"observed_at":"2026-08-06T14:55:04.535481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.523112Z","title":"& Zhang, S","venue":null,"work_id":"307e94bc-105e-48ad-85fc-e111ceb61788","year":2022},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.940053Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:8d1a62bc89ae425aaddfcb2431d437be966a0bc1ad2c84965ac45db76dec4b90","observation_id":"15627306-a6db-4188-8271-705786c4644b","resolution":{"observed_at":"2026-08-06T14:55:04.526083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.513575Z","title":"& Coley, C","venue":null,"work_id":"7b048cbd-7dce-4544-9216-9f7b8edd4bae","year":2022},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.942912Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:430cf3f0e9dcdacdd0d731736d66020cb5844ffc653104fadcdffa747682c35a","observation_id":"1ed440f0-2be7-4519-be7f-cef9404b903e","resolution":{"observed_at":"2026-08-06T14:55:04.516575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.503263Z","title":"Molecular transformer: a model for uncertainty-calibrated chemical reaction prediction","venue":null,"work_id":"bad03369-7cf2-4f91-bf45-24ff76e37498","year":2019},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.946345Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:424bf693d51782771da31bb713110b967138dd06b1e1671ec0551ba83a423da6","observation_id":"5cfd9473-57a9-454c-8939-6272102f7148","resolution":{"observed_at":"2026-08-06T14:55:04.506493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.494331Z","title":null,"venue":null,"work_id":"9096e85f-9e0b-4df5-8005-276bdbf9b08c","year":2014},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.949347Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:02b2033403f216f935538993934d3d684739f9bed543620a9975269044996a5a","observation_id":"06032ef9-521e-45dd-b72b-fd5001bdccec","resolution":{"observed_at":"2026-08-06T14:55:04.497307Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.485314Z","title":null,"venue":null,"work_id":"1a6f11ba-deba-4665-904b-e5ef452f7de2","year":2011},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.952845Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:71eb69512f5796650d01a6cb48555e4d3bf334f7bf776edb0be26941b3b60437","observation_id":"faee2b7c-e102-43a5-9fbe-62fdec1a57e9","resolution":{"observed_at":"2026-08-06T14:55:04.488346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.476378Z","title":null,"venue":null,"work_id":"4e340c78-3c96-476e-9ead-2252a281e445","year":2025},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.956134Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:c48abe72c7fa6b21896dd25455e2b0c7cee01ead2e50e7c46ad2f2236dc46631","observation_id":"df92b9c2-44ee-40f2-8ef6-72ced129ea03","resolution":{"observed_at":"2026-08-06T14:55:04.479322Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.466851Z","title":null,"venue":null,"work_id":"df11886e-0e9b-40ae-8a03-d07fe142fec9","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.959593Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:f37a1902196fafaddbf5d99066d05acaf23e1deaa6b0b15f8c5afbeade9afbc4","observation_id":"67c5e03b-1aca-4646-a333-139c471afd6a","resolution":{"observed_at":"2026-08-06T14:55:04.469749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.457504Z","title":"Rdkit: Open-source cheminformatics software (2016)","venue":null,"work_id":"b4dddfac-2aa7-4575-840b-537e9a53ce42","year":2016},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.963137Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:2f16adb8f495be3a859fd171d4c877c734126b1dacfa8e520141075b06681940","observation_id":"4368f49a-5339-4d15-b282-6a5ed30a3ee2","resolution":{"observed_at":"2026-08-06T14:55:04.460694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-06T14:55:03.966226Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.966226Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:7fb2f658b693c04192a5aa38941845980d4775bd20c5acb185b81c8584c3d452","observation_id":"024224e2-1ebc-4f1e-98a9-a9f238265c74","resolution":{"observed_at":"2026-08-06T14:55:03.966226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-06T14:55:03.969078Z","title":"& Klimov, O","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.969078Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:fc8f3a8d1e4a6e2b7d224ee0cd64d94d8895b97483f7aa16fbbd0411a9787d9b","observation_id":"1302960b-1998-42e7-8e62-0021da76d07f","resolution":{"observed_at":"2026-08-06T14:55:03.969078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T14:55:03.972470Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.972470Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:6b64a1d4b725dc19a11f0da0fce67a2d8c47126fb2027293fc29a1c11b183157","observation_id":"e300c807-aefa-45a4-8031-6cdf505112b6","resolution":{"observed_at":"2026-08-06T14:55:03.972470Z","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":"2026-08-06T14:55:04.447400Z","title":null,"venue":null,"work_id":"0512742c-7e99-4658-afb8-4f8a15247b0e","year":2023},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.975631Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:f20358557413432e8a8f670fb4a4b7691de3c48c47cff709ddb2d940cb821080","observation_id":"7d8eaf62-6ad3-457f-ba14-c0f2412c8520","resolution":{"observed_at":"2026-08-06T14:55:04.450870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11143","last_updated":"2025-10-09T12:22:46Z","snapshot_observed_at":"2026-07-31T12:28:37.704994Z","submitted_at":"2024-05-20T01:04:40Z","title":"OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11143","snapshot_observed_at":"2026-08-06T14:55:03.978943Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.978943Z"},"links":{"cited_paper":"/paper/2405.11143","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:cd5f4a53e47b2be82b56e3162b5568774440b579ecad5b6b049fe1ed54bf52a8","observation_id":"0f817405-cac5-494f-ade4-8ec1d13b0580","resolution":{"observed_at":"2026-08-06T14:55:03.978943Z","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":"2026-08-06T14:55:04.435826Z","title":"& Liubimov, N","venue":null,"work_id":"8c674068-6d0c-4dee-a2e8-e8a1cbfd3516","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.981970Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:3286650d7f9dfca7486bf1295f8f41e6139e617a09a388cd1a8d43b3c2d0d04f","observation_id":"404b0b7c-14ef-42c6-8c52-f57a776adae4","resolution":{"observed_at":"2026-08-06T14:55:04.439548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.425736Z","title":null,"venue":null,"work_id":"dda71ef2-635b-43b7-b640-36836a3d68f1","year":2023},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.985232Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:9a6c5024420edc383ddaa66be515fd4381ffdb032411b1214fde8bef8a94266d","observation_id":"8f8eb7e2-51e1-437a-991d-bd19f8787e4b","resolution":{"observed_at":"2026-08-06T14:55:04.429014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.415763Z","title":"Self-assembled hole transporting monolayer for highly efficient perovskite solar cells","venue":null,"work_id":"8f17cc38-a9d8-404b-8ccb-67e171e66846","year":2018},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.988318Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:90839794529cd59d8459cb32ce3c9a5efa4b298b6543bcf72d0d5ddeba263166","observation_id":"4267063b-d366-4281-b17b-7fe2ba160d85","resolution":{"observed_at":"2026-08-06T14:55:04.419033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T14:55:03.991219Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.991219Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:98548d1acac5ff4cab722eecf26c87e00b72f3284a02a0c1727b7ff40e918e74","observation_id":"3ac03d2e-928a-4e77-b136-8baa9a82375e","resolution":{"observed_at":"2026-08-06T14:55:03.991219Z","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":"2026-08-06T14:55:04.406301Z","title":null,"venue":null,"work_id":"2ec0e399-3eb6-44f3-bb03-1b21943815d0","year":2020},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.994036Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:7382bd4a78fefb22251ecb02ddadc03ef517f5eaf7779e944489688ba8506c1f","observation_id":"b5cf0b48-207a-4bd0-8fb6-ac6cc64c6e7b","resolution":{"observed_at":"2026-08-06T14:55:04.409170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.397280Z","title":"FlashAttention-2: Faster attention with better parallelism and work partitioning","venue":null,"work_id":"8bc3f125-df84-4a1b-88d3-64ad2eff0d05","year":2024},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:03.997366Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:b1d7a217625d3db8aada3a296fc629f65c23d26d792467a09bb625385f26fad3","observation_id":"9986009c-856a-47d1-8d1b-8161b72dc3ed","resolution":{"observed_at":"2026-08-06T14:55:04.400314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.387625Z","title":"- Highlight any reactive sites, electron-withdrawing/electron-donating groups, and resonance or steric effects that may influence its reactivity","venue":null,"work_id":"ee9bbcb0-f397-4155-9826-e177d5eb361a","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.001027Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:6dbca95d09df3be4015970d63f8509b3a3c8449d3a501bab0ac526dae6687f31","observation_id":"0f8836e1-a33f-4e21-b97e-4116ac7c1c35","resolution":{"observed_at":"2026-08-06T14:55:04.391040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.377658Z","title":"- Propose reactants that are chemically feasible, stable, and commercially available or readily synthesized","venue":null,"work_id":"041dd7f3-e1f0-4cab-948d-e1fb9da88692","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.004138Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:a2461995590b424ab4012ebe770ff978638dbc41af8b45bb926dc21754ba051a","observation_id":"bf7b2061-f2de-4fef-a889-c4fa9c5fe40f","resolution":{"observed_at":"2026-08-06T14:55:04.380883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.367614Z","title":"A is better","venue":null,"work_id":"3dbface4-3b77-4205-bdee-d141a2633e02","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.007298Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:42487c97150ae44da094a1cf2641b364109ff18d2c8e86fe91226d15cd2798d6","observation_id":"edeb9844-ad38-4cdc-b180-424908b6f857","resolution":{"observed_at":"2026-08-06T14:55:04.371075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.356223Z","title":null,"venue":null,"work_id":"df52c263-e07c-42eb-98f8-3fee319ffad8","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.010919Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:438deaa786d98bfb8b89df79030c55d3681b8b6ea66803f7b0aa8958b9a00f2f","observation_id":"1ced00a0-f132-487f-bfbb-03001a735bf9","resolution":{"observed_at":"2026-08-06T14:55:04.359364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.345918Z","title":null,"venue":null,"work_id":"245a66ea-3bc4-4c66-885e-40a8ff8dc419","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.013931Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:024a8cbc20e945a2423667457bdba91cea4b4082b878c4fa02c0f7b2bfef6fe1","observation_id":"b25fde3f-9984-423e-87b2-46b9dc934e05","resolution":{"observed_at":"2026-08-06T14:55:04.349187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.335727Z","title":null,"venue":null,"work_id":"4d88a486-d5f0-4792-9ee7-9fd3531d169e","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.017336Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:26b65665281ad96e553706a32d145f1000e02281c730b5a04e34250460005312","observation_id":"ff1390c0-50ce-476b-9750-6f5f41bf0ff4","resolution":{"observed_at":"2026-08-06T14:55:04.338898Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.326423Z","title":null,"venue":null,"work_id":"625b7e0c-825b-4bad-a0e9-48ffda19a31a","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.020880Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:568d461d995ad4b76e48e6e91e9efdbb1aec64e55e9086956a7dae1ec306a09b","observation_id":"c5762204-181d-4793-ab7b-63d9cec06325","resolution":{"observed_at":"2026-08-06T14:55:04.329428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T14:55:04.316796Z","title":"Figure 10: Evaluation criteria provided to annotators for the AB test","venue":null,"work_id":"5d977fd9-f51e-4b4b-b7bb-8d52d6aef34e","year":null},"citing_paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T14:55:04.024042Z"},"links":{"citing_paper":"/paper/2507.17448"},"observation_digest":"sha256:452ce635b34a4bcde024fdff3ac66df3e1327b9d82ad421596188f68b1dc7f86","observation_id":"cd82596e-c0ef-4459-b17a-0b814d6a6c8e","resolution":{"observed_at":"2026-08-06T14:55:04.319930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.17448","last_updated":"2025-07-23T12:13:06Z","latest_version":1,"primary_category":"cs.CE","snapshot_observed_at":"2026-08-06T14:45:15.935671Z","submitted_at":"2025-07-23T12:13:06Z","title":"Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":1,"verified_fuzzy":33},"total_outbound_references":75},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2507.17448."}