{"as_of":"2026-08-07T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23cfca6c63368a82bbe7f80cb622a1641022099dc346863a26911e7d656d1026","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-17T22:59:48.260121Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T10:01:45.332920Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T10:27:56.530584Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"cited_work":{"arxiv_id":"2511.09907","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.09907","snapshot_observed_at":"2026-07-03T10:27:56.530584Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","venue":"cs.AI","work_id":"17da3e3c-5aa6-4ea9-af32-9c8a4fd0e8a0","year":2025},"citing_paper":{"arxiv_id":"2605.20948","last_updated":"2026-05-20T09:35:04Z","snapshot_observed_at":"2026-07-06T23:31:27.989406Z","submitted_at":"2026-05-20T09:35:04Z","title":"Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-21T05:49:14.789955Z"},"links":{"cited_paper":"/paper/2511.09907","citing_paper":"/paper/2605.20948"},"observation_digest":"sha256:77ee1af937074d6f7ce23b1abc7e91609e3466122eb2116c6414940fa5c6d8c8","observation_id":"ac8cef94-4fff-4813-a574-a280e2b91aa0","resolution":{"observed_at":"2026-05-21T05:49:40.807207Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"cited_work":{"arxiv_id":"2511.09907","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.09907","snapshot_observed_at":"2026-07-03T10:27:56.530584Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","venue":"cs.AI","work_id":"17da3e3c-5aa6-4ea9-af32-9c8a4fd0e8a0","year":2025},"citing_paper":{"arxiv_id":"2606.12087","last_updated":"2026-06-10T13:49:11Z","snapshot_observed_at":"2026-08-02T15:03:50.335992Z","submitted_at":"2026-06-10T13:49:11Z","title":"FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-06-27T10:01:45.332920Z"},"links":{"cited_paper":"/paper/2511.09907","citing_paper":"/paper/2606.12087"},"observation_digest":"sha256:48258160e0fe05356f85e83ce2986eb789267af6dbb5a9f4922a13d251eacf13","observation_id":"f0f89c7f-7555-48b2-94c2-6f7266085797","resolution":{"observed_at":"2026-07-03T10:27:56.531843Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2511.09907/citation-record","integrity":"/paper/2511.09907/integrity","json":"/paper/2511.09907/citation-record.json","paper":"/paper/2511.09907"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:225ed1c9e5f802b62788f4dd944042bc0e158cf8cc1aa7c81ab3ae0191f765e5","observation_id":"c2981dc0-b812-4a6d-900e-28c53067ed30","resolution":{"observed_at":"2026-05-17T23:00:25.514022Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.20357","doi":"10.48550/arxiv.2509.20357","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Language models that think, chat better","venue":"arXiv (Cornell University)","work_id":"c94bf5a8-75d9-410d-a8ec-bceb0a99dffe","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:530bf4794136b2786498ee2c218e572321c1e71b084c939bf6c3a8252073ac0f","observation_id":"e3769ba7-2e51-41fe-9a9d-db38190c9f93","resolution":{"observed_at":"2026-05-17T23:00:25.520925Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":"2110.14168","doi":"10.1002/j.1545-","metadata_source":"pith","pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Training Verifiers to Solve Math Word Problems","venue":"cs.LG","work_id":"acab1aa8-b4d6-40e0-a3ee-25341701dca2","year":2021},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:8c39ac1624f5b8cf1af2bb417315356eaecdfcc0fcc4f2923f25e1ba704f87c3","observation_id":"d36ba037-24b8-463b-88aa-a4f5a0ef087f","resolution":{"observed_at":"2026-05-17T23:00:25.504561Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14739","last_updated":"2025-03-28T15:21:44Z","snapshot_observed_at":"2026-07-29T21:41:16.650188Z","submitted_at":"2025-02-20T17:05:58Z","title":"SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines","version":4},"cited_work":{"arxiv_id":"2502.14739","doi":"10.48550/arxiv.2502.14739","metadata_source":"pith","pith_arxiv_id":"2502.14739","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines","venue":"cs.CL","work_id":"58a97b2d-494b-4c1a-bd65-13fa6bb7f8f6","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2502.14739","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:8f648b89719c278a0bcb2a51858910f20ae53b32ca8c46cc9e0bfd72c89395f6","observation_id":"18aa1124-f05a-46e4-8635-a815703245c7","resolution":{"observed_at":"2026-05-17T23:00:25.501322Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-22T13:52:42.853111+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-22T13:52:42.853111+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17063","last_updated":"2025-05-18T05:35:13Z","snapshot_observed_at":"2026-07-06T21:28:48.206779Z","submitted_at":"2025-05-18T05:35:13Z","title":"Synthetic Data RL: Task Definition Is All You Need","version":1},"cited_work":{"arxiv_id":"2505.17063","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17063","snapshot_observed_at":"2026-07-01T20:56:13.361747Z","title":"Synthetic data rl: Task definition is all you need","venue":null,"work_id":"73704596-4394-43a1-98e7-403ed211ca20","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2505.17063","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:d5f7af56a8d6955ab55cf231f63c2bb5f24b655fe75c4aeed3257e32b71e5924","observation_id":"7f9af066-a144-4ba4-a756-72dbbcdb5828","resolution":{"observed_at":"2026-05-17T23:00:25.524260Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.05004","last_updated":"2026-02-13T18:53:32Z","snapshot_observed_at":"2026-07-06T22:09:08.864232Z","submitted_at":"2025-08-07T03:38:16Z","title":"R-Zero: Self-Evolving Reasoning LLM from Zero Data","version":4},"cited_work":{"arxiv_id":"2508.05004","doi":"10.48550/arxiv.2508.05004","metadata_source":"pith","pith_arxiv_id":"2508.05004","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"R-Zero: Self-Evolving Reasoning LLM from Zero Data","venue":"cs.LG","work_id":"45b39aae-1151-4087-9b48-dd16313e6306","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2508.05004","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:8c4ac85afa16e9546a014290031ddd934f70c3a3bccb48fc2821d0871b3a34ee","observation_id":"741c5291-7bb4-4b1e-a06d-918a2738ab69","resolution":{"observed_at":"2026-05-17T23:00:25.510812Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T21:53:06.742139+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T21:53:06.742139+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.14234","last_updated":"2026-05-09T12:06:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-17T17:59:42Z","title":"Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision","version":3},"cited_work":{"arxiv_id":"2509.14234","doi":"10.18653/v1/2020.coling-main.580.https://","metadata_source":"pith","pith_arxiv_id":"2509.14234","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision","venue":"cs.LG","work_id":"1950c695-dc64-40eb-a4ea-acbc4025cf6f","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2509.14234","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:5a58d079a3139ab623aa2c475127d14fd4d1bbb6e9efbdbb3e0370548e4699de","observation_id":"fe0854a1-4679-46cb-ae9c-7bda128d94cc","resolution":{"observed_at":"2026-05-17T23:00:25.498240Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19187","last_updated":"2025-05-06T15:11:32Z","snapshot_observed_at":"2026-08-01T06:17:18.773056Z","submitted_at":"2025-02-26T14:50:50Z","title":"BIG-Bench Extra Hard","version":2},"cited_work":{"arxiv_id":"2502.19187","doi":"10.48550/arxiv.2502.19187","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.19187","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Big-bench extra hard","venue":"ArXiv.org","work_id":"a39d2b40-bc37-45e9-9ef3-82fdb24cdc60","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2502.19187","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:50156bf0afb8cf26542bb1df7570b04492bc9a5bd11bf5ae66fd1a3ebe7f7c6d","observation_id":"3414d351-c086-43d3-a653-39a06647375d","resolution":{"observed_at":"2026-05-17T23:00:25.507895Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18451","last_updated":"2024-10-24T06:06:26Z","snapshot_observed_at":"2026-08-07T05:53:12.643515Z","submitted_at":"2024-10-24T06:06:26Z","title":"Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs","version":1},"cited_work":{"arxiv_id":"2410.18451","doi":"10.48550/arxiv.2410.18451","metadata_source":"pith","pith_arxiv_id":"2410.18451","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs","venue":"cs.AI","work_id":"141992ea-4174-463c-be4a-add6252bde93","year":2024},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2410.18451","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:6d7d76a947e3514661c1df95abb81308b048cef9af9dcfccc65e0e039a85d5be","observation_id":"0b2cf992-4f6c-4836-b903-becb543c6f98","resolution":{"observed_at":"2026-05-17T23:00:25.527531Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16352","last_updated":"2024-09-11T08:23:58Z","snapshot_observed_at":"2026-07-06T17:35:18.965223Z","submitted_at":"2024-02-26T07:17:25Z","title":"MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs","version":2},"cited_work":{"arxiv_id":"2402.16352","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.16352","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mathgenie: Generating synthetic data with question back-translation for enhancing mathematical reasoning of llms","venue":null,"work_id":"f8e3aec6-e33d-40cf-9f14-50f364ab7463","year":2024},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2402.16352","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:74e38706e4d5fc9c328e844f8743f7320f714ee964829915c2dd9e179ed09fcd","observation_id":"ad793f38-4849-4875-8762-ca1e5f92081e","resolution":{"observed_at":"2026-05-17T23:00:25.517385Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07365","last_updated":"2025-04-15T14:22:45Z","snapshot_observed_at":"2026-07-06T20:49:56.018809Z","submitted_at":"2025-03-10T14:23:12Z","title":"MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2503.07365","doi":"10.48550/arxiv.2503.07365","metadata_source":"pith","pith_arxiv_id":"2503.07365","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning","venue":"cs.CV","work_id":"eda3a54e-ebd6-40bd-af17-b567ea4c5d62","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2503.07365","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:51abbf0e76d55ba10040471807cef5f063ab4df84c805f4984b7cfd57608c722","observation_id":"649da9e0-17f2-49a3-beb2-0d99f651384e","resolution":{"observed_at":"2026-05-17T23:00:25.467935Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.21070","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scalediff: Scaling difficult problems for advanced mathematical reasoning.arXiv preprint arXiv:2509.21070","venue":null,"work_id":"a8d1a769-8184-41b1-bab4-be4e2882546a","year":null},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:e2545b29e1c59cb5e0d3aae29c3a77bee3b6700182b33496ede4ac97f8db82ff","observation_id":"b9b9779e-b9a0-453e-b8c9-3e6376b9d8a1","resolution":{"observed_at":"2026-05-17T23:00:25.464977Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"1707.06347","doi":"10.1016/j.artint.2010.12.005","metadata_source":"pith","pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proximal Policy Optimization Algorithms","venue":"cs.LG","work_id":"240c67fe-d14d-4520-91c1-38a4e272ca19","year":2017},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:eabf84bfdf311d7ffae8d089f669d2bcb60a3b7695b650049a0b7d6577fc5559","observation_id":"70735b1c-6836-4759-aec6-7e9676b32943","resolution":{"observed_at":"2026-05-17T23:00:25.471087Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2402.03300","doi":"10.1016/0004-3702(73)90011-8","metadata_source":"pith","pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","venue":"cs.CL","work_id":"c5006563-f3ec-438a-9e35-b7b484f34828","year":2024},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:223fc592bd311917b5959c688190c4597047eabf1380377002c3449685411d55","observation_id":"bf683fa7-5a43-4025-a9e0-2f3e6c0e81d0","resolution":{"observed_at":"2026-05-17T23:00:25.455859Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.24726","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:05:33.994671Z","title":"arXiv preprint arXiv:2509.24726 , year=","venue":null,"work_id":"e8d3bc81-5845-46e6-8bec-16c64da95570","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:bc7243e337a24b53b73081e0df313fbfa499fe80f416b6f8e7f99429a809f7ce","observation_id":"59397268-50c9-4951-b475-5a1103e41478","resolution":{"observed_at":"2026-05-17T23:00:25.474995Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12244","last_updated":"2025-05-27T06:49:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-24T16:31:06Z","title":"WizardLM: Empowering large pre-trained language models to follow complex instructions","version":3},"cited_work":{"arxiv_id":"2304.12244","doi":"10.48550/arxiv.2304.12244","metadata_source":"pith","pith_arxiv_id":"2304.12244","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"WizardLM: Empowering large pre-trained language models to follow complex instructions","venue":"cs.CL","work_id":"fc22911b-0900-4ad2-b106-337f13279965","year":2023},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2304.12244","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:6242b2c1be6568d2127a95241bad90dcd512b26835b766af3211a0988c4e5989","observation_id":"9859c030-1cb5-465a-bc01-e47c1b600820","resolution":{"observed_at":"2026-05-17T23:00:25.494431Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:beba0f60791700cdf400ea3bed1485429c384134b70406715a61375998957ae2","observation_id":"fefd0ac1-4f43-4b0f-8763-857bbd9d533f","resolution":{"observed_at":"2026-05-17T23:00:25.483210Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.23751","last_updated":"2025-09-03T14:36:00Z","snapshot_observed_at":"2026-08-06T10:28:53.529265Z","submitted_at":"2025-07-31T17:38:50Z","title":"CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks","version":2},"cited_work":{"arxiv_id":"2507.23751","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.23751","snapshot_observed_at":"2026-07-04T20:40:08.284654Z","title":"Cot- self-instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.arXiv preprint arXiv:2507.23751, 2025a","venue":null,"work_id":"181a7fd6-f172-4c7e-8068-4cea4b9af3b0","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2507.23751","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:21048a626e9ecf003674eb33e6a007eb64e037da18b3ad5d7eee09cb5287b633","observation_id":"37c7f58b-4c4f-474c-9690-e1cefd9683bb","resolution":{"observed_at":"2026-05-17T23:00:25.449719Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18892","last_updated":"2025-08-06T08:42:32Z","snapshot_observed_at":"2026-07-06T20:57:57.039376Z","submitted_at":"2025-03-24T17:06:10Z","title":"SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild","version":3},"cited_work":{"arxiv_id":"2503.18892","doi":"10.48550/arxiv.2503.18892","metadata_source":"pith","pith_arxiv_id":"2503.18892","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild","venue":"cs.LG","work_id":"94a68437-02e7-425a-91b2-5846ddcbd38c","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2503.18892","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:063b741afcd22f5e957366418fdd8e62af84616a18fe232fff9eaed1c52f9507","observation_id":"3a76be87-66db-41fd-9c7b-fa7be54d72d9","resolution":{"observed_at":"2026-05-17T23:00:25.443139Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17140","last_updated":"2024-06-06T03:59:24Z","snapshot_observed_at":"2026-07-06T18:05:55.328415Z","submitted_at":"2024-04-26T03:41:28Z","title":"Small Language Models Need Strong Verifiers to Self-Correct Reasoning","version":2},"cited_work":{"arxiv_id":"2404.17140","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.17140","snapshot_observed_at":"2026-07-04T06:59:37.840996Z","title":"Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InECCV, 2024a","venue":null,"work_id":"2c0a1611-0b16-44ac-802f-f2bbb63d191a","year":2024},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2404.17140","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:ad5b75431c935d62b9620c7c9eaa820d65f3301a666094ada641510cb3cd116c","observation_id":"af8bd071-788a-4dc4-abd2-e7f0a6b55d65","resolution":{"observed_at":"2026-05-17T23:00:25.491154Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21493","last_updated":"2025-05-27T17:56:27Z","snapshot_observed_at":"2026-07-06T21:31:35.572708Z","submitted_at":"2025-05-27T17:56:27Z","title":"Reinforcing General Reasoning without Verifiers","version":1},"cited_work":{"arxiv_id":"2505.21493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.21493","snapshot_observed_at":"2026-07-01T20:56:13.505929Z","title":"Reinforcing general reasoning without verifiers","venue":null,"work_id":"2ec388db-b5cc-4baa-b30c-a65df5ea5bf7","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2505.21493","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:2e2cc503574af9b1ca17e0b1675b1d9faa3706dc0b0851e1da0956d498795625","observation_id":"57b2310b-f1db-4c8c-8d96-305438cda973","resolution":{"observed_at":"2026-05-17T23:00:25.487127Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16084","last_updated":"2025-06-30T15:59:26Z","snapshot_observed_at":"2026-07-06T21:13:13.686703Z","submitted_at":"2025-04-22T17:59:56Z","title":"TTRL: Test-Time Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2504.16084","doi":"10.48550/arxiv.2504.16084","metadata_source":"pith","pith_arxiv_id":"2504.16084","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"TTRL: Test-Time Reinforcement Learning","venue":"cs.CL","work_id":"54ef1983-e8f7-4b17-9b74-6155b56c8b00","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"cited_paper":"/paper/2504.16084","citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:79ddd2f0200e15081a4bdaf275534baf1b3f9d17dbbf14fec962ca75d9183f56","observation_id":"1fc7e214-3e29-42a7-9a7d-6937a4bfec75","resolution":{"observed_at":"2026-05-17T23:00:25.478758Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"We use Fully Sharded Data Parallel (FSDP) with full parameter sharding and optional CPU offloading for parameters and optimizer states to balance GPU memory","venue":null,"work_id":"ae5436e0-2ff6-478c-ba53-9fcd91fc67ef","year":2025},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:b3b63153c5b21683d8f0823f9492b4c9b481c5a5d802b261a5e9f0f4ac7079c6","observation_id":"87d708a7-eebe-4bc8-962a-c9bb35973ad9","resolution":{"observed_at":"2026-05-17T23:00:26.004521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3560.1144","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3f3ccfa2-4a4b-4162-992c-8b0c0713866a","year":null},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:64f46969525efa241b075f687f4282ff110ea25e362472b3a87334f1c7f43613","observation_id":"e61635e8-9ab7-412f-8869-323a8b82c287","resolution":{"observed_at":"2026-05-17T23:00:25.461907Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0078.6093","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c642fe04-22c1-4dd7-a6dc-f4f1def3afa9","year":null},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:95b21d23e37a514a277fb9bbf33d0669389b7ad06ffa76f60216c2091f18bcde","observation_id":"4c0398a9-a582-46db-8de7-f3e3cdcec89f","resolution":{"observed_at":"2026-05-17T23:00:25.458948Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6561.0930","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7a750955-1e02-43af-89ff-8aeefc14d1f0","year":2015},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:69851fc2b01254b6dfcd991acf720c464c950e315eda3074345c455ae784429c","observation_id":"a5b03c8f-c7de-4161-b2e5-9dd679aef0d9","resolution":{"observed_at":"2026-05-17T23:00:25.452389Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0082.2093","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8bc40b75-0872-4807-961b-35ae16eda053","year":2093},"citing_paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-17T22:59:48.260121Z"},"links":{"citing_paper":"/paper/2511.09907"},"observation_digest":"sha256:56b5b45b75b52fde6ff9770b18045ab952843dc6c16afb74b7124f4f90ae420c","observation_id":"f1090191-69d4-4c25-80af-fef6e1923e11","resolution":{"observed_at":"2026-05-17T23:00:25.446213Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2511.09907","last_updated":"2026-05-08T08:34:38Z","latest_version":5,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-13T03:08:51Z","title":"Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":0,"verified_exact":21,"verified_fuzzy":1},"total_outbound_references":27},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2511.09907."}