{"as_of":"2026-08-08T20:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e41ad4063915adca7d57ba614d7937a3302c693233ccaf7175a574620d5643d2","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:40:13.760606Z","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":"2026-07-03T09:37:49.467682Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-07T12:40:13.760606Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning.arXiv preprint arXiv:2502.19655, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24105","last_updated":"2025-05-30T01:13:22Z","snapshot_observed_at":"2026-08-07T20:32:59.705021Z","submitted_at":"2025-05-30T01:13:22Z","title":"Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T12:40:13.760606Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2505.24105"},"observation_digest":"sha256:8ac0631850771811827aefba49a245574ea427db54d31be779028739027b5f55","observation_id":"c42987b4-5995-4040-8344-5dd7c2152bac","resolution":{"observed_at":"2026-08-07T12:40:13.760606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-07T12:06:31.530153Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning.arXiv preprint arXiv:2502.19655, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00577","last_updated":"2025-05-31T14:22:40Z","snapshot_observed_at":"2026-08-07T22:33:33.136985Z","submitted_at":"2025-05-31T14:22:40Z","title":"Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:31.530153Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2506.00577"},"observation_digest":"sha256:787b6af967a76bfa63d33dc17e3a073aae7f006fb7057cd6fa4b1ed806cc560c","observation_id":"a652ec66-449a-4c3f-b792-6bd0b635ab19","resolution":{"observed_at":"2026-08-07T12:06:31.530153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-07T00:59:14.911209Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12307","last_updated":"2025-06-20T01:43:46Z","snapshot_observed_at":"2026-08-07T20:54:59.398635Z","submitted_at":"2025-06-14T02:00:36Z","title":"Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T00:59:14.911209Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2506.12307"},"observation_digest":"sha256:52dcc031a9b53b38d076f2d60a5d0529f8b12cf32fa824a39b987a3a5fdd90bb","observation_id":"6e31e4cb-653f-425f-867c-c7a1b88411bb","resolution":{"observed_at":"2026-08-07T00:59:14.911209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-06T21:13:15.388077Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00726","last_updated":"2025-08-27T22:56:13Z","snapshot_observed_at":"2026-08-08T05:39:37.892242Z","submitted_at":"2025-07-01T13:16:34Z","title":"Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T21:13:15.388077Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2507.00726"},"observation_digest":"sha256:d04b2f1d294969c893a18802ff867bf414709edd04e12bbb0aa9e11e868daa1c","observation_id":"ffb13532-71c1-4418-b679-f952e7921f18","resolution":{"observed_at":"2026-08-06T21:13:15.388077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2507.17746","last_updated":"2025-10-03T01:55:55Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-23T17:57:55Z","title":"Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-13T06:07:56.678339Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2507.17746"},"observation_digest":"sha256:08c68fdfd6cd03ab3fa65624be4ad7d49a82c1f3cf338c5bd39b9ce281b83500","observation_id":"39423670-f1cb-4fb5-af7b-ddafd6882551","resolution":{"observed_at":"2026-05-13T06:07:56.743850Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2603.27820","last_updated":"2026-04-23T02:38:10Z","snapshot_observed_at":"2026-08-06T10:58:16.547247Z","submitted_at":"2026-03-29T19:14:26Z","title":"Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-14T21:43:57.227448Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2603.27820"},"observation_digest":"sha256:a7288f951d9f15018bb8d14679a9baad9c2d2e86e87611fb6db9be2caca6c18e","observation_id":"fae2cfa5-dc85-4e59-a708-6dc70bd8bd9e","resolution":{"observed_at":"2026-05-14T21:48:01.014888Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2604.17928","last_updated":"2026-04-20T08:09:01Z","snapshot_observed_at":"2026-07-06T23:04:55.190916Z","submitted_at":"2026-04-20T08:09:01Z","title":"HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-10T05:23:08.478393Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2604.17928"},"observation_digest":"sha256:8f088e6b29274e1fbf8f6d66a0813d608616ea1043176c4a423f3f0a281e9b89","observation_id":"844f0551-f1df-44e5-a7ac-ffae15b22318","resolution":{"observed_at":"2026-05-10T05:25:55.233693Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2604.19937","last_updated":"2026-04-21T19:28:08Z","snapshot_observed_at":"2026-07-06T23:06:31.110859Z","submitted_at":"2026-04-21T19:28:08Z","title":"Infection-Reasoner: A Compact Vision-Language Model for Wound Infection Classification with Evidence-Grounded Clinical Reasoning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-10T03:14:24.453124Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2604.19937"},"observation_digest":"sha256:4e99f3f0204c67d8c6a0f7082df01951786e3c07e7643a0cfe6af99d4018358b","observation_id":"7fbfb720-98f4-4ec8-bd0b-e969e9f1c4ce","resolution":{"observed_at":"2026-05-11T12:41:04.555986Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2606.03800","last_updated":"2026-07-07T21:08:01Z","snapshot_observed_at":"2026-08-08T12:21:41.888056Z","submitted_at":"2026-06-02T15:48:28Z","title":"Trading Human Curation for Synthetic Augmentation in RLVR","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T11:10:06.685591Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2606.03800"},"observation_digest":"sha256:9a50781ff505604e9e772ccb741e405c29f9eac52175d79fecce3e7c60d369ee","observation_id":"69eea653-d525-4e1f-a899-375d3dba0ff2","resolution":{"observed_at":"2026-07-02T02:16:26.244087Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-12T15:15:09.675778Z","title":"Med-RLVR: Emerging medical reasoning from a 3B base model via reinforcement learning.arXiv:2502.19655, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03800","last_updated":"2026-07-07T21:08:01Z","snapshot_observed_at":"2026-08-08T12:21:41.888056Z","submitted_at":"2026-06-02T15:48:28Z","title":"Trading Human Curation for Synthetic Augmentation in RLVR","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T15:15:09.675778Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2606.03800"},"observation_digest":"sha256:294f8d8d387e86fe221e7ea45a9c6e829fd4460ebeaec4b8a30d295ee8598622","observation_id":"c852ef3a-64f4-4b93-9d07-7e3d0d3af1e2","resolution":{"observed_at":"2026-07-12T15:15:09.675778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2606.11740","last_updated":"2026-06-10T07:16:27Z","snapshot_observed_at":"2026-08-02T02:17:16.809620Z","submitted_at":"2026-06-10T07:16:27Z","title":"UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA","version":1},"reference_index":188,"source":"arxiv_source","source_observed_at":"2026-06-27T10:21:12.782864Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2606.11740"},"observation_digest":"sha256:cd2f32c9ca56ddf9abe4c52ac6f1a368cf43fb075d599cb9d5feb61875c29069","observation_id":"a01e5c97-897d-4745-b21a-005c90b00d54","resolution":{"observed_at":"2026-07-03T09:37:49.469685Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2502.19655","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-07-03T09:37:49.467682Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning","venue":null,"work_id":"cd64f37d-cc8d-43f2-8c63-bf63d2196c2c","year":2025},"citing_paper":{"arxiv_id":"2607.00147","last_updated":"2026-06-30T20:25:53Z","snapshot_observed_at":"2026-08-08T12:08:10.784723Z","submitted_at":"2026-06-30T20:25:53Z","title":"RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-02T19:21:44.653877Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2607.00147"},"observation_digest":"sha256:cde0e01424b8049e6767eec4067083472bfba0296e3041b8e5bb7a5cdc5b036b","observation_id":"05f53fe7-fe43-41b2-9806-d4c88f35f8ed","resolution":{"observed_at":"2026-07-02T19:27:18.599145Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-01T13:15:36.924621Z","title":"Med-rlvr: Emerging medical reasoning from a 3b base model via reinforcement learning.arXiv preprint arXiv:2502.19655,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19181","last_updated":"2026-07-21T15:15:56Z","snapshot_observed_at":"2026-08-07T22:32:59.398321Z","submitted_at":"2026-07-21T15:15:56Z","title":"Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T13:15:36.924621Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2607.19181"},"observation_digest":"sha256:67162251faa2f6ef226030ab42baacc5c93c52ea8c9c6ab80b66993f5ae6073f","observation_id":"a8d7a5e0-c434-4fb1-9081-16583889b8ee","resolution":{"observed_at":"2026-08-01T13:15:36.924621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19655","snapshot_observed_at":"2026-08-06T00:39:15.161788Z","title":"arXiv preprint arXiv:2502.19655 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01012","last_updated":"2026-08-02T05:27:21Z","snapshot_observed_at":"2026-08-08T03:42:14.816706Z","submitted_at":"2026-08-02T05:27:21Z","title":"MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T00:39:15.161788Z"},"links":{"cited_paper":"/paper/2502.19655","citing_paper":"/paper/2608.01012"},"observation_digest":"sha256:0264dc4f278dd544231f27e4bace7bcf3fd1f1b7947f35321f5d23868d828f5a","observation_id":"e7343383-98f1-4d00-b927-6cada4c19ec4","resolution":{"observed_at":"2026-08-06T00:39:15.161788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.19655/citation-record","integrity":"/paper/2502.19655/integrity","json":"/paper/2502.19655/citation-record.json","paper":"/paper/2502.19655"},"outbound":[],"paper":{"arxiv_id":"2502.19655","last_updated":"2025-02-27T00:54:38Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T21:58:54.817701Z","submitted_at":"2025-02-27T00:54:38Z","title":"Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.19655."}