Paper Citation Record · LEDGER

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2410.09671.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.09671 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:52:54.413087Z

measured 1 of 1 external citation measurements

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

2
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 efedd96f-bd54-4e5d-bcf9-49012e82bf9e · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T12:36:50.287735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68961365-6291-4167-9fd5-3d272fe176a4 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T21:20:59.315479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68c85ed7-3497-48b7-a892-485e0a3d9dcd · inbound

Typhoon T1: An Open Thai Reasoning Model cites this paper.

Typhoon T1: An Open Thai Reasoning Model OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T22:52:54.413087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67e0bce-3c61-4a4b-bdfe-462bc27354ee · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:42:10.486878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3aa87878-559e-499f-a8ea-fbc5ec7b7e47 · inbound

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning cites this paper.

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:18.769402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b20d09-7281-4d9a-ae42-599be00232fb · inbound

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL cites this paper.

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:35.294119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fdfbae-6c6f-4133-ab19-e02a88109ce1 · inbound

Faster and Better LLMs via Latency-Aware Test-Time Scaling cites this paper.

Faster and Better LLMs via Latency-Aware Test-Time Scaling OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:23.295558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879e5c96-25ab-4a97-b84f-7b061a93b65f · inbound

Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision cites this paper.

Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:20.522619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a1d9d0-06be-4a7e-92ef-e9794a1bc5e6 · inbound

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence cites this paper.

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:08.302465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea2de8a-6282-446c-b3c8-dcb133f67084 · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-06T15:37:24.936924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d44e522-bf83-45c4-9b9f-51c8f7fd725c · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T10:38:59.785250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0392bb38-db04-4bd2-9abd-37781f4c1ac5 · inbound

Knowledge Graph Augmented Large Language Models for Disease Prediction cites this paper.

Knowledge Graph Augmented Large Language Models for Disease Prediction OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T06:45:59.122318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f223b25f-9748-4149-9740-9a8b5a8fc6f5 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:38.047022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e95753a2-930c-4837-89ce-a6e09a9fcf5a · inbound

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards cites this paper.

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:45:21.140892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3188d78-f5ff-4705-a4bb-001c70647e2e · inbound

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:51:30.290967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df91db9d-3cc6-49f5-9e0d-ecef5e56433e · inbound

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.

Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:15:03.224313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39169581-51ad-4f57-a83b-a3258754a5ec · inbound

Process Rewards with Learned Reliability cites this paper.

Process Rewards with Learned Reliability OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T14:53:06.960191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5853d6c3-a8ef-4106-ae2f-fdb47adb2be1 · inbound

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering cites this paper.

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.442717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cad486b0-72cb-4984-948e-14065dd1f624 · inbound

UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling cites this paper.

UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:22:43.515244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f88beb96-6179-4d4c-aa03-37bcb5514f35 · inbound

When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff cites this paper.

When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 116

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:27:26.377466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 891041d3-db42-44b2-a955-5a82bae94216 · inbound

Training Language Models to Cooperate with Inference-Time Controllers cites this paper.

Training Language Models to Cooperate with Inference-Time Controllers OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T13:09:01.465751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.