Paper Citation Record · LEDGER

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2501.11651.

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

pith.paper-citation-record.v1
2501.11651 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:08:21.609464Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T22:25:39.474855Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 81251f2c-dffb-488b-8f22-598a5490d6d0 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.589761Z

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 3abbd6aa-3f04-4587-8587-14516d4153ce · inbound

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search cites this paper.

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:08:21.609464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd65069-43f6-4e93-b30d-fac8feff78d3 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:36.538291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c480f1c5-9c68-4f25-9b8e-77c4d3e525d8 · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.864750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac01cefd-0396-434f-892a-51412916c5c1 · inbound

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models cites this paper.

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:21:06.806080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16c6a00-d1fe-4f2f-a93f-369528e211ca · inbound

Reinforced Language Models for Sequential Decision Making cites this paper.

Reinforced Language Models for Sequential Decision Making T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:20:54.083020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32a9fd8-f044-4e31-8089-d72f7c94858b · inbound

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems cites this paper.

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:10.489926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12d51e4-c978-4d5f-8b2b-c7e22818bcdb · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:39:54.390558Z

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 d89408a0-8077-47b2-95f1-fd431cf9722b · inbound

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget cites this paper.

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:56:08.697739Z

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 824f44cf-2477-4107-bf83-d736628ddf0d · inbound

SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training cites this paper.

SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:30:35.407585Z

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 fbac5259-3219-4704-9dae-3d7634003ab4 · inbound

Beyond the Sampled Token: Preserving Candidate Support in RLVR cites this paper.

Beyond the Sampled Token: Preserving Candidate Support in RLVR T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T09:34:07.194227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caaa32b5-751e-44d1-b34d-a7d5220f2f0f · inbound

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs cites this paper.

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:11:51.451496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f8d439-e2b5-45f7-a112-384252096432 · inbound

Targeted Exploration via Unified Entropy Control for Reinforcement Learning cites this paper.

Targeted Exploration via Unified Entropy Control for Reinforcement Learning T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:56.071198Z

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 f39bcd0d-440c-402f-a67a-3420cc2047bf · inbound

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning cites this paper.

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:01.943069Z

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 92b1c155-540f-4788-9ef3-23d07d1f64ca · inbound

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning cites this paper.

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:09.106701Z

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 b0e72bd3-cb95-465d-8f94-3ec23d0f8b01 · inbound

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning cites this paper.

Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.497847Z

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 2d79e701-e8c6-4cc7-ba42-410b598735f4 · inbound

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs cites this paper.

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:44.141720Z

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 212e8307-e81a-479c-a1aa-106cd0950245 · inbound

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization cites this paper.

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:25:39.476832Z

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.