Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.14135.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:33:52.937067Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 647261e7-faf9-46f4-8233-cd650ecf5e9e · inbound
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:36:50.283750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ff67168c-269a-401b-ae22-67cffee03c28 · inbound
Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.
Search-o1: Agentic Search-Enhanced Large Reasoning Models Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:36:27.640538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 454dedb2-e3f9-4e64-9a26-2b809b0efec5 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.628273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9b1f88b-5d58-4037-921a-64db6211d813 · inbound
Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks cites this paper.
Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:52:14.111450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3372b021-128e-463a-9bf3-b4508077d489 · inbound
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework cites this paper.
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:33:52.937067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1b73dc4-bc02-4a79-bf8c-24778fe13642 · inbound
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 266
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:45:59.486005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9ffcf2c6-bd94-470f-b32f-550aa083dcb3 · inbound
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 251
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:01:00.754150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 58f25752-65fa-4ac8-bbaa-43dd3fcbd1fa · inbound
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models cites this paper.
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:26:58.101193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.