{"as_of":"2026-08-10T00:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45e4486740a1c4dcbb897d8ea5fb869753dca7f6a5aa7edd2282dc881e5ebc29","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:48:33.795417Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-05T22:05:05.401790Z","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":"2026-08-05T13:05:35.116493Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.07495","snapshot_observed_at":"2026-08-05T22:05:05.401790Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07616","last_updated":"2025-08-21T06:17:25Z","snapshot_observed_at":"2026-08-08T03:30:30.635878Z","submitted_at":"2025-08-11T04:51:43Z","title":"ThinkTuning: Instilling Cognitive Reflections without Distillation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T22:05:05.401790Z"},"links":{"cited_paper":"/paper/2507.07495","citing_paper":"/paper/2508.07616"},"observation_digest":"sha256:b985fa47638ad9b319f1bc4c924feb7f75a8f91c00e5c4519994035e90ae7055","observation_id":"bf646f21-5c09-4c71-bd1f-5c54b6f39461","resolution":{"observed_at":"2026-08-05T22:05:05.401790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"cited_work":{"arxiv_id":"2507.07495","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.07495","snapshot_observed_at":"2026-08-05T13:05:35.116493Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","venue":"cs.CL","work_id":"79033a9c-ccc8-4cbf-8ee9-91132beab53d","year":2025},"citing_paper":{"arxiv_id":"2509.00971","last_updated":"2025-09-03T05:36:42Z","snapshot_observed_at":"2026-08-08T20:58:07.093956Z","submitted_at":"2025-08-31T19:31:53Z","title":"CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:05:32.930669Z"},"links":{"cited_paper":"/paper/2507.07495","citing_paper":"/paper/2509.00971"},"observation_digest":"sha256:464ac6bf77c67d818549cbc00b3c70fbf7797ecaa47ac1d4b3a927e95d20fa8b","observation_id":"a4e11405-bb00-457b-9ec1-99c6fcf25fd7","resolution":{"observed_at":"2026-08-05T13:05:35.179327Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.07495/citation-record","integrity":"/paper/2507.07495/integrity","json":"/paper/2507.07495/citation-record.json","paper":"/paper/2507.07495"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:48:42.781404Z","title":null,"venue":null,"work_id":"d4d7e87b-e64e-4bf9-89ea-23043c585785","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:27.100994Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:ff23f4577166c17376dd7d6a2fffa82c7ac7eb88e1b405780fd8c7dac9690b05","observation_id":"f80604dc-e968-421f-a25b-f7f58c1b7971","resolution":{"observed_at":"2026-08-06T18:48:42.851751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:42.514423Z","title":null,"venue":null,"work_id":"d4f98232-785e-450b-b6d5-a250d3109a73","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:27.304754Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:7fec7fe17247de75f33fe5163c97df61886a0a00245e55513a4280ff5eb84208","observation_id":"57e64e6c-85b3-47a7-913b-dc9ae01d8f99","resolution":{"observed_at":"2026-08-06T18:48:42.645256Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:42.245237Z","title":null,"venue":null,"work_id":"3fc42657-1144-4a55-b252-366d1d35bac4","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:27.496488Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:2b9615f6bd46d9cefc201b96c9acec99c1ad8bf943f943bff0352e16319e5991","observation_id":"cd4c3133-1a62-4400-ae15-22d4f2b15b92","resolution":{"observed_at":"2026-08-06T18:48:42.382507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:42.049871Z","title":null,"venue":null,"work_id":"feb669a7-7ac3-4109-84ed-3c3c2520ca49","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:27.706070Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:197731c109f5527ffa9a9ebc0e5d9fbcf123b34db53b66572b5c4002f523e632","observation_id":"57aa9490-0dde-4f40-8934-f69673586a2d","resolution":{"observed_at":"2026-08-06T18:48:42.108882Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:41.782387Z","title":null,"venue":null,"work_id":"6d26291d-3315-4418-9d92-b34270381c39","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:27.848772Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:a93341af513a50e038320d90182632f6a25a5bcf6ad7a0c501db94a6501364d5","observation_id":"33bb54b5-5669-48ab-b317-c8eaf05ac531","resolution":{"observed_at":"2026-08-06T18:48:41.931003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:41.548046Z","title":null,"venue":null,"work_id":"0104ea52-c109-4bf2-8635-a8b49e26f478","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.026790Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:fba958928f1d6f53642eb674058af0f03b4e86d107f2f6a90a66bb0224c48dc3","observation_id":"e4143bf9-4ead-4c5d-8e83-61db31db416c","resolution":{"observed_at":"2026-08-06T18:48:41.665361Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:41.333394Z","title":null,"venue":null,"work_id":"789756e9-39ec-4217-b06f-d24f3d375fef","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.166631Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:f66498617ce378c83501643344e955fe8aa4321886c2fc52fe3c2552e7bd7057","observation_id":"4ad2cfc8-ee68-48f2-ab4d-76a91c357340","resolution":{"observed_at":"2026-08-06T18:48:41.472109Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:41.097683Z","title":null,"venue":null,"work_id":"1c7b6afe-beb6-4ccb-8efb-3b34ec345636","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.320874Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:079560c4ade7280524ee7242eb796a7353385d5bf298dc42eb9ebbb83b1a004c","observation_id":"5b0b4e31-bdfc-4b92-aa39-3d2d344d449d","resolution":{"observed_at":"2026-08-06T18:48:41.169202Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:40.768199Z","title":null,"venue":null,"work_id":"bddce3b8-cb14-46c0-a263-bc5a1bea1fb5","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.467530Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:d6a4a9055a8312f5ebc482a87385ff8287c3f892ae9981686f0ca69b412e94f7","observation_id":"50370874-d6ef-4eb3-9dad-bd9ff4ae6a7d","resolution":{"observed_at":"2026-08-06T18:48:40.924680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:40.512205Z","title":"How to schedule a meeting with your PhD colleague Response","venue":null,"work_id":"df0ccb1e-f33e-47b1-8b48-af35dc93bc88","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.653754Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:0b6c5d1392201c653d92a6fdb3ff422089f24755830dc2d0fe719a9678926ba0","observation_id":"e3ae791f-ac9c-4b2c-bcdf-65dfff6446f6","resolution":{"observed_at":"2026-08-06T18:48:40.650962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:40.304154Z","title":null,"venue":null,"work_id":"473da820-1c1b-4229-9df8-bd4cb0fb468b","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:28.815587Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:c22c89ebe83cb1a59c6711f62927e3ff5864e4c9d4a01d43f6c45aa630d9a633","observation_id":"357d767e-26c0-46ac-b772-08fe99e8dea9","resolution":{"observed_at":"2026-08-06T18:48:40.389937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:40.159022Z","title":null,"venue":null,"work_id":"3889c6c4-d78e-42dc-b011-5db2ebea0652","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:29.033821Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:3c7789727cd972f670ca0c6c48bdec7fde8e8440f8eb1fd8a8004c493b74659e","observation_id":"7986257b-ee00-458b-8621-19deca41bd59","resolution":{"observed_at":"2026-08-06T18:48:40.216396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:39.912055Z","title":null,"venue":null,"work_id":"a2dd9386-1e14-4722-a86d-97fa988b7d2d","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:29.193078Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:f2309f21009189bf61a17c66614f0d324c50abf9e67bdaa6f157fc3e81ec87a9","observation_id":"2b7fa2e7-2708-48f6-8ac6-155f50273ef2","resolution":{"observed_at":"2026-08-06T18:48:40.053338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:39.655021Z","title":null,"venue":null,"work_id":"6fc83783-ec46-46e8-96c6-cc30e6b4e0c9","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:29.414913Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:4176f25b5b938a317c34722eff5df884464396687dc69dea20a3cd64e6dbd670","observation_id":"4099e936-047c-4d9e-978f-4ca2965e4ca9","resolution":{"observed_at":"2026-08-06T18:48:39.759248Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:39.418225Z","title":null,"venue":null,"work_id":"e10257a7-7622-4939-b382-1600d9caa5b4","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:29.656009Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:78c217997d27147a79fe6457b697e987ec1446b0fd9815fab8796f8ada7ea186","observation_id":"63316f84-d09d-438f-adc9-4b8c777ee098","resolution":{"observed_at":"2026-08-06T18:48:39.526130Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:39.190630Z","title":null,"venue":null,"work_id":"e89b2028-8d5a-4b63-8e72-0ef803dfce1d","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:29.824322Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:d4f0d885eb0b4e803b8a63dda7ba32ec3277396c4b16b4e4b44348d3f9eb6972","observation_id":"ac487d19-208b-4fe8-90b1-47656cdfc9ed","resolution":{"observed_at":"2026-08-06T18:48:39.254251Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:38.993168Z","title":null,"venue":null,"work_id":"6bd57b6f-c648-4f84-9b06-ed2fdaf1ca17","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.033793Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:cf457f98ed4621c20927d18e18bfa4471d1d24146bd1f9d36acbfd644bdc7530","observation_id":"4d044be3-2254-41c5-9a1c-f3dacbc9dfc9","resolution":{"observed_at":"2026-08-06T18:48:39.064214Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:38.809732Z","title":null,"venue":null,"work_id":"1f15b537-f4df-47e2-90b2-e7ccedd2b717","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.166946Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:c2615ce628187d6baa92bb7a9c3f62bcfa1debf059e6d5e665eb43dbe33495f9","observation_id":"c6d70c22-df69-4a9c-9760-4e5e248e6911","resolution":{"observed_at":"2026-08-06T18:48:38.902203Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:38.627989Z","title":null,"venue":null,"work_id":"2dc1f8e0-b4ac-4c4a-945a-595086843c41","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.395993Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:eb298caaf1120e9f0ecdae79d83f8fc8325331001b38709cc1ab727b0ce82967","observation_id":"ff674e2c-3f65-47ea-9246-a417fd4f4734","resolution":{"observed_at":"2026-08-06T18:48:38.692783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:38.325351Z","title":"How to organize a party for the birthday Response","venue":null,"work_id":"2b12f7df-4c6f-47d0-8668-733a2c59e3fa","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.559116Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:388ff99e9f77c6330f8bad3d42445cc877e6b28b3b899ed554506945d353e8fe","observation_id":"341d16d8-7159-4ea9-ab8b-aea76bec2c70","resolution":{"observed_at":"2026-08-06T18:48:38.482445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:38.101272Z","title":null,"venue":null,"work_id":"bf8dfc53-5ccc-4706-af43-c1a7b7a03ca0","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.763721Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:30bbbf9d62e1fcadd5ece71d9abd60fe00f51f3fddf88500c51210e76a1319a4","observation_id":"617bda2b-da19-41fc-b849-3bcc7ffa32cb","resolution":{"observed_at":"2026-08-06T18:48:38.224703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:37.881822Z","title":null,"venue":null,"work_id":"08086dc8-316c-40e2-9aa5-2a1d10e973b8","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:30.921653Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:528d25bc0e932f2f6d23e34ad8a9e1fa67c9894227915e2a90c906a407060f17","observation_id":"98355443-0205-4b92-829f-07884f337ac7","resolution":{"observed_at":"2026-08-06T18:48:37.977044Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:37.674880Z","title":null,"venue":null,"work_id":"4fc72d11-df54-4093-b051-c77008afe7e6","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.143782Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:9f6ce8f37554bb8677ab235ecdcb5f4780ed0b851c0affee16d836b2f82901b1","observation_id":"cedbf4b3-9c90-4c23-a5e8-a09ed002e57b","resolution":{"observed_at":"2026-08-06T18:48:37.767800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:37.449691Z","title":null,"venue":null,"work_id":"a37f257d-26a9-4989-b4ed-263551339239","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.272268Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:df9108878431166a97cdadac5c4c06d44d039a41496a7a9dc9be3afe0bc0cf27","observation_id":"76654b16-47ae-4bac-a321-f0243012a043","resolution":{"observed_at":"2026-08-06T18:48:37.533089Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:37.190010Z","title":null,"venue":null,"work_id":"e25e33a7-3a67-412e-bf97-354e079d49c2","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.426684Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:8913612d495d1ad97b93faf4a386ee5301154c1ff2edff3fdeff27863b760459","observation_id":"75b7ff25-bcfe-4fa5-8de4-a0b2a60244a6","resolution":{"observed_at":"2026-08-06T18:48:37.334554Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:36.944138Z","title":null,"venue":null,"work_id":"3b8393d6-f275-4df4-8c5e-d6be78000925","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.568862Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:478290660cc337fa9f1406da7cd71348d1499399bff89d6a23d12902ae217793","observation_id":"3bbfb7bd-dffd-40d7-97a2-273bf9683e5f","resolution":{"observed_at":"2026-08-06T18:48:37.086743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:36.710485Z","title":null,"venue":null,"work_id":"6794ca15-d63d-4094-ae83-552950ef3b06","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.734796Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:2a166de1bda0c33359639137bef6eaa6071bc9e301e4ba689e1c7d7c9ec3444f","observation_id":"d6794456-b4d4-40b5-a536-6f62e863c494","resolution":{"observed_at":"2026-08-06T18:48:36.820643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:36.469023Z","title":null,"venue":null,"work_id":"9c1025e0-8039-4c3b-8dd0-6fd5c0bc8421","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.876046Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:6d7dd7e2852267441a5ed9a3065823b487b2000d44c4b473251f74043f4116c6","observation_id":"52b180b6-5551-409b-b65d-569f52d02139","resolution":{"observed_at":"2026-08-06T18:48:36.582619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:36.243627Z","title":null,"venue":null,"work_id":"505e1331-4dc5-4917-8752-1aa140856e01","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.009220Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:dc67b06aa7d6ccb10af721f9fc2f493c4e088876b744c58cc14665bd88e528ac","observation_id":"91e8d736-3d6e-4b1c-a509-90ce2013a954","resolution":{"observed_at":"2026-08-06T18:48:36.376798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:36.036270Z","title":"How to solve a given mathematical reasoning problem Response","venue":null,"work_id":"10355fef-a3df-42b5-bd0e-645a242a0ef8","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.150206Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:edb04a66f5cb9f309417002f797d87fcca20c3876a873aa936d867453cecf2d6","observation_id":"d660fd5d-5047-4c4d-a2d2-3667bdb23a12","resolution":{"observed_at":"2026-08-06T18:48:36.144160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:35.803831Z","title":null,"venue":null,"work_id":"483db3ab-ad60-47f9-8c45-b0e3175c19e4","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.351894Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:b5ba1de0cafff72ea9f8c68d6c3993cae7f08f4fcdbc4e299de7196aed2ddab5","observation_id":"7746f0c9-5560-474f-ad12-ea8c82d50d57","resolution":{"observed_at":"2026-08-06T18:48:35.891843Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:35.647497Z","title":null,"venue":null,"work_id":"7a8ccd80-39e3-4e02-a2d8-d9ad143e8789","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.524736Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:90fb393950c1b9fd91b305d64ee95fe9011c910790680f138afb6a1f2ca4722f","observation_id":"34eac158-41f7-4031-9efb-2db0638c65d7","resolution":{"observed_at":"2026-08-06T18:48:35.727992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:35.481459Z","title":null,"venue":null,"work_id":"2b82902a-630d-4c9f-81b1-87742208dbd0","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.677877Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:e2d0f92943843ef1dd623b6ea054f8d6fc112a1fd1337cb669716dae8259f7eb","observation_id":"085707ef-679e-4816-8be1-2e16ed9bb431","resolution":{"observed_at":"2026-08-06T18:48:35.566483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:35.313476Z","title":null,"venue":null,"work_id":"6c8ecf4e-b322-4d8e-8809-df538e80da47","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.808063Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:afe17aa02798aea0d7b95dcd190a3d0b8664d092fdd4915ce2b2b2720833e480","observation_id":"3f44290f-d472-4970-af65-9b3c22518c74","resolution":{"observed_at":"2026-08-06T18:48:35.396524Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:35.134827Z","title":null,"venue":null,"work_id":"cac718d5-cf37-4504-934e-109471f3bfea","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:32.957206Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:5da30742abf95dada6c5d5262345e9c3af1058aed211115d26deec15a8ab1afb","observation_id":"fa3f9626-7aed-4141-9cb3-56bc0b50dfa9","resolution":{"observed_at":"2026-08-06T18:48:35.229408Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:34.927436Z","title":null,"venue":null,"work_id":"50b42bed-684f-433d-8f8b-acea11b30d71","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:33.108230Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:73f4964ff50d01c045b189977fa25e3d2ea354adc429b8f9258502798dbe3012","observation_id":"adeafed6-2ea3-468d-8212-124ba184aa64","resolution":{"observed_at":"2026-08-06T18:48:35.012019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:34.733918Z","title":null,"venue":null,"work_id":"6b62abb8-184d-4c15-8905-84a464f2ec8d","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:33.250991Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:0e5a9de42e0401c73794f8028cc841d5b781f1f322d94a88dedfedd1cbbc99c5","observation_id":"5505d5eb-5000-4a02-8acd-8fba9a25c446","resolution":{"observed_at":"2026-08-06T18:48:34.837494Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:34.511372Z","title":null,"venue":null,"work_id":"0806a9b6-a0fa-4b22-b7bd-3398810c2108","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:33.462570Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:bbfb318f8b4140b85ec37f40eb11d504cf1327fa898e1eadea161f9c78adccc7","observation_id":"6d2637e5-7a73-4051-ba60-9460c5961e75","resolution":{"observed_at":"2026-08-06T18:48:34.632839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:34.245866Z","title":null,"venue":null,"work_id":"2634bf99-7ebe-457a-9606-03f27bed6b97","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:33.656403Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:2f7537bc65043c07f80ec054b0a71a6d6f46b45e96d5e97fc44f30cb49f04ffb","observation_id":"b26704f7-4551-49b7-b788-8e5af2e71e38","resolution":{"observed_at":"2026-08-06T18:48:34.350046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T18:48:33.987126Z","title":"B Data Synthesis Prompts These prompts form a structured framework for evaluating and improving mathematical reason- ing in large language models","venue":null,"work_id":"0568f5c3-87e8-4c9f-8a3a-393cd3c37626","year":null},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:33.795417Z"},"links":{"citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:a5ddd56963d7758ad6b9e7ea13a14bfb8222715d5fd7cf077e1bef864487245e","observation_id":"4aad50db-8655-4b3f-9d7a-83b6f7c5cbaf","resolution":{"observed_at":"2026-08-06T18:48:34.157700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16681","last_updated":"2025-02-18T04:26:49Z","snapshot_observed_at":"2026-08-09T09:43:34.115104Z","submitted_at":"2024-05-26T20:18:11Z","title":"Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16681","snapshot_observed_at":"2026-08-06T18:48:26.951911Z","title":"In Thirty-seventh Conference on Neural Information Processing Sys- tems","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:26.951911Z"},"links":{"cited_paper":"/paper/2405.16681","citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:4e76b4935a4e46abb4adebc21e9250982e5aeca02cd35e749c690fb0164fa49e","observation_id":"3ac0a914-0bd1-41cb-95d7-f9d165c3ce1b","resolution":{"observed_at":"2026-08-06T18:48:26.951911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T18:48:26.664028Z","title":"arXiv preprint arXiv:2412.19437","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:26.664028Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:0f75c0d69b66cc874dae3cd0af281bc9117cc98f5879aae790f0cc54c7e3acc9","observation_id":"fa415d98-7a33-4791-b88a-a53faad99e55","resolution":{"observed_at":"2026-08-06T18:48:26.664028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16111","last_updated":"2025-02-22T06:21:56Z","snapshot_observed_at":"2026-08-07T17:56:52.406681Z","submitted_at":"2025-02-22T06:21:56Z","title":"PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16111","snapshot_observed_at":"2026-08-06T18:48:26.796937Z","title":"arXiv preprint arXiv:2502.16111","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:26.796937Z"},"links":{"cited_paper":"/paper/2502.16111","citing_paper":"/paper/2507.07495"},"observation_digest":"sha256:dc1231df1441664c863c2ff45bc704faf8baa3b465e8d60e6aa672ee8dbfa60a","observation_id":"d04c0d36-b156-4198-a5d9-939497fa6f59","resolution":{"observed_at":"2026-08-06T18:48:26.796937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.07495","last_updated":"2025-07-10T07:30:44Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T04:00:08.953988Z","submitted_at":"2025-07-10T07:30:44Z","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":39,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":43},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2507.07495."}