{"as_of":"2026-08-15T16:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ad6f5d39fff8cbcb57624d1d50d8552da9038979c953a405a3826e46eaef5f36","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:48:16.749809Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.07885/citation-record","integrity":"/paper/2608.07885/integrity","json":"/paper/2608.07885/citation-record.json","paper":"/paper/2608.07885"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-12T00:48:16.677497Z","title":"Also available as arXiv:2501.12948","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.677497Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:e1b44c8372655f4b2b5bcc53b5056f413fbe6f5fd678e6e8036979680b8ba740","observation_id":"3a0d2039-973c-463e-9ad5-67369f8133a6","resolution":{"observed_at":"2026-08-12T00:48:16.677497Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07982","last_updated":"2025-06-09T17:52:18Z","snapshot_observed_at":"2026-08-14T06:34:01.114459Z","submitted_at":"2025-06-09T17:52:18Z","title":"$\\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07982","snapshot_observed_at":"2026-08-12T00:48:16.644972Z","title":"Victor Barres, Honghua Dong, Soham Ray, Xujie Si, and Karthik Narasimhan","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.644972Z"},"links":{"cited_paper":"/paper/2506.07982","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:ae0fd281add2743abcbb4763a486306b7576d1e4bc3bf309fd795e542c90f47f","observation_id":"a3cbe42e-78ee-4d47-a124-c09e9cb42f2d","resolution":{"observed_at":"2026-08-12T00:48:16.644972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14991","last_updated":"2024-10-17T07:23:23Z","snapshot_observed_at":"2026-08-12T23:37:41.068004Z","submitted_at":"2024-06-21T09:06:45Z","title":"SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14991","snapshot_observed_at":"2026-08-12T00:48:16.689031Z","title":"Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, and Tatsunori Hashimoto","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.689031Z"},"links":{"cited_paper":"/paper/2406.14991","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:68128a8dae8e1cdb0a92e92a394bc66643271706e95a0ed4ac2ed2290e41dded","observation_id":"741a600d-c1e7-45c2-a52f-3dc82bb0b012","resolution":{"observed_at":"2026-08-12T00:48:16.689031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19393","last_updated":"2025-03-01T06:07:39Z","snapshot_observed_at":"2026-08-14T11:38:51.383664Z","submitted_at":"2025-01-31T18:48:08Z","title":"s1: Simple test-time scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19393","snapshot_observed_at":"2026-08-12T00:48:16.695352Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.695352Z"},"links":{"cited_paper":"/paper/2501.19393","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:4554b1459aa1e9ccb564d41cbf93f5f19d6188e239002d9960dec0ee11fec584","observation_id":"159d5c36-fd7e-42d8-9463-fc481d8e0205","resolution":{"observed_at":"2026-08-12T00:48:16.695352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-12T00:48:16.700888Z","title":"8 COLM 2026 Efficient Reasoning Workshop Zhihong Shao, Peiyi Wang, Qihao Zhu, et al","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.700888Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:244d81e25ab714a28c88079b9fd18f15da03f8f167ca6070e798452ee16fc6f6","observation_id":"f7314c0d-6fb6-4175-a34c-302d43d2d188","resolution":{"observed_at":"2026-08-12T00:48:16.700888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-08-13T16:55:46.498156Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16291","snapshot_observed_at":"2026-08-12T00:48:16.711446Z","title":"Voyager: An open-ended embodied agent with large language models.arXiv preprint arXiv:2305.16291,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.711446Z"},"links":{"cited_paper":"/paper/2305.16291","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:7ef16f3241bdf1114fa17dc645afc7d145a6c86d2bbe236ac23359fccc77546f","observation_id":"bfaa7a18-f56a-4c94-8d7b-0903aad2f919","resolution":{"observed_at":"2026-08-12T00:48:16.711446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12045","last_updated":"2024-06-17T19:33:08Z","snapshot_observed_at":"2026-08-14T14:24:18.501413Z","submitted_at":"2024-06-17T19:33:08Z","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12045","snapshot_observed_at":"2026-08-12T00:48:16.729182Z","title":"τ-bench: A benchmark for tool-agent-user interaction in real-world domains.arXiv preprint arXiv:2406.12045,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.729182Z"},"links":{"cited_paper":"/paper/2406.12045","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:98a0b9756839b33fe446174c9fba8113105dbd9a239b285253efc340677d5ce7","observation_id":"5d5af422-70e1-4731-9786-0692b282588f","resolution":{"observed_at":"2026-08-12T00:48:16.729182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.03387","last_updated":"2025-07-29T16:23:02Z","snapshot_observed_at":"2026-08-08T04:13:22.884923Z","submitted_at":"2025-02-05T17:23:45Z","title":"LIMO: Less is More for Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.03387","snapshot_observed_at":"2026-08-12T00:48:16.734406Z","title":"Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Shiji Song, and Gao Huang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.734406Z"},"links":{"cited_paper":"/paper/2502.03387","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:32be56357339b0084f2b276a39128a4bacd62dca8789b9cb74d7dbc803b55129","observation_id":"cc564357-6d6c-415d-af6c-9cf619a5206a","resolution":{"observed_at":"2026-08-12T00:48:16.734406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07496","last_updated":"2024-06-11T17:32:21Z","snapshot_observed_at":"2026-08-13T02:15:58.634561Z","submitted_at":"2024-06-11T17:32:21Z","title":"TextGrad: Automatic \"Differentiation\" via Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07496","snapshot_observed_at":"2026-08-12T00:48:16.739659Z","title":"TextGrad: Automatic Differentiation via Text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.739659Z"},"links":{"cited_paper":"/paper/2406.07496","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:61d1689ec723f2adcbacff8579c7f462bf49b9ab6f094058e2f461277499dd30","observation_id":"10f97529-a5dd-4525-9c44-d41282936bf6","resolution":{"observed_at":"2026-08-12T00:48:16.739659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:48:17.057708Z","title":"Rules are imperative, concrete, and cite corpus statistics computed by the distiller","venue":null,"work_id":"440751a0-21eb-4210-8e4e-42229f574714","year":2026},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.744790Z"},"links":{"citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:466a9a1c8d843665f28986ab12f9d9495e1d9fa33ea270f20342ecb57c08cd6e","observation_id":"6df39928-e67a-474c-ab4d-c75f9c060111","resolution":{"observed_at":"2026-08-12T00:48:17.062959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-12T00:48:17.038137Z","title":"Before calling find_user_id_by_email or find_user_id_by_name_zip, check that the customer’s message actually contains a real email address, or a real first name + last name + zip","venue":null,"work_id":"2d7cd616-62d3-4921-88f2-92771c002cf2","year":2024},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.749809Z"},"links":{"citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:a52357749ced64d4db57c4e36a5bb5bb9a5fe150d4f817b3f0b64598238e1bfa","observation_id":"8cd88abd-ec68-4494-aef5-bfb4a1ec3072","resolution":{"observed_at":"2026-08-12T00:48:17.045341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-12T00:48:16.706050Z","title":"Scaling LLM test-time com- pute optimally can be more effective than scaling model parameters.arXiv preprint arXiv:2408.03314,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.706050Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:33df3d2ac391a4a57f64c67a0781fd5c5302df831995960a30460fe4da603048","observation_id":"9cdedc58-3b07-4296-be41-9bcfdff56a18","resolution":{"observed_at":"2026-08-12T00:48:16.706050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18600","last_updated":"2025-03-03T17:08:21Z","snapshot_observed_at":"2026-08-07T17:49:06.764625Z","submitted_at":"2025-02-25T19:36:06Z","title":"Chain of Draft: Thinking Faster by Writing Less","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18600","snapshot_observed_at":"2026-08-12T00:48:16.722601Z","title":"Chain of draft: Thinking faster by writing less.arXiv preprint arXiv:2502.18600,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.722601Z"},"links":{"cited_paper":"/paper/2502.18600","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:e273660ba27114d354f6464291a216b755d958c9f7bb32432181527ef952bc30","observation_id":"f26bf447-6316-4e22-87b2-4dfca4107819","resolution":{"observed_at":"2026-08-12T00:48:16.722601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07429","last_updated":"2024-09-11T17:21:00Z","snapshot_observed_at":"2026-08-15T11:12:59.718423Z","submitted_at":"2024-09-11T17:21:00Z","title":"Agent Workflow Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07429","snapshot_observed_at":"2026-08-12T00:48:16.716846Z","title":"Agent workflow memory.arXiv preprint arXiv:2409.07429,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.716846Z"},"links":{"cited_paper":"/paper/2409.07429","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:68a674bad31136693ebf3c08489f3b48be238ec2bd9946e270e8a326a063478c","observation_id":"cd6782c1-62e7-49d7-8dc0-b3f287705592","resolution":{"observed_at":"2026-08-12T00:48:16.716846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03714","last_updated":"2023-10-05T17:37:25Z","snapshot_observed_at":"2026-08-04T05:21:05.846165Z","submitted_at":"2023-10-05T17:37:25Z","title":"DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03714","snapshot_observed_at":"2026-08-12T00:48:16.683371Z","title":"Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, and Jie Tang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.683371Z"},"links":{"cited_paper":"/paper/2310.03714","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:fd39742956e800552e3eeb9e100e9dd548373baf1f238b0c8805086a5c165bc5","observation_id":"1754144d-b303-4b84-b465-fa3da986c2b0","resolution":{"observed_at":"2026-08-12T00:48:16.683371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21187","last_updated":"2025-02-01T07:57:37Z","snapshot_observed_at":"2026-08-01T16:43:44.704797Z","submitted_at":"2024-12-30T18:55:12Z","title":"Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21187","snapshot_observed_at":"2026-08-12T00:48:16.672182Z","title":"Do NOT think that much for 2+3=? on the overthinking of o1-like LLMs.arXiv preprint arXiv:2412.21187,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.672182Z"},"links":{"cited_paper":"/paper/2412.21187","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:0a87f608b6a15b421c7f8a02bc1726142d0b580d2232decd4cd01fc461137bff","observation_id":"c64cd75d-eefc-46fc-ab04-7b0c0cd4fcc2","resolution":{"observed_at":"2026-08-12T00:48:16.672182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19457","last_updated":"2026-02-14T11:42:30Z","snapshot_observed_at":"2026-08-14T13:34:39.415942Z","submitted_at":"2025-07-25T17:42:32Z","title":"GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.19457","snapshot_observed_at":"2026-08-12T00:48:16.622608Z","title":"Anthropic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-12T00:48:16.622608Z"},"links":{"cited_paper":"/paper/2507.19457","citing_paper":"/paper/2608.07885"},"observation_digest":"sha256:9910ec4cfdb78ebe9e75ba3924bd953bf652513d1b0ad0dd627394abc8971e07","observation_id":"19d44784-24b8-48fe-be4f-f500e99f9cf6","resolution":{"observed_at":"2026-08-12T00:48:16.622608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07885","last_updated":"2026-08-08T03:22:31Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T09:48:08.255439Z","submitted_at":"2026-08-08T03:22:31Z","title":"Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":17},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.07885."}