Paper Citation Record · LEDGER

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning

As of 6 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2602.06475.

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

pith.paper-citation-record.v1
2602.06475 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T07:21:01.335414Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact15
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8968459f-ad4a-4d72-8315-8bb50bf4658b · outbound

This paper cites Training language models to reason efficiently.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Training language models to reason efficiently

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.107554Z

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 011fdcb2-975f-4d7b-9885-b50c11129b45 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Evaluating Large Language Models Trained on Code

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.122240Z

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 f0672f5f-5a20-4c0a-a0c0-18135e3042d1 · outbound

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

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.160267Z

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 486c00ec-8ef0-4a71-a686-4b8da5d28f71 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.196089Z

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 0afe54fa-c7be-4790-b552-91f252c4ec50 · outbound

This paper cites Group Causal Policy Optimization for Post-Training Large Language Models.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Group Causal Policy Optimization for Post-Training Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.189654Z

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 9e68f7ae-44bd-4e60-8107-ab3bdfc5b4f5 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.145681Z

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 47a99bca-aed5-4d2f-bf96-d04bacde48b8 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T07:22:31.127409Z

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 228c6ae5-a3b3-4c22-9994-9114d526f8f6 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.201920Z

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 3c72c55e-5d48-4e43-bf7b-f95054e9e5bc · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.164859Z

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 7b2aeaaf-6b14-4f49-a423-6fe8031865a7 · outbound

This paper cites Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.207472Z

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 b28347fd-d10f-4688-8f26-5d1b004582e8 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T07:22:31.172086Z

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 2f380030-65e3-4d56-9849-894d4244cce4 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.183766Z

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 f9e433d1-a52f-46a1-a88c-aa4c18f653a4 · outbound

This paper cites Gtpo and grpo-s: Token and sequence-level reward shaping with policy entropy.arXiv preprint arXiv:2508.04349.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Gtpo and grpo-s: Token and sequence-level reward shaping with policy entropy.arXiv preprint arXiv:2508.04349

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.112671Z

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 179f691f-920f-4e6c-940f-1558f0e63770 · outbound

This paper cites Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:22:31.155448Z

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 a4856d94-8cf5-422f-a483-759758445f0e · outbound

This paper cites Think When You Need: Self-Adaptive Chain-of-Thought Learning.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Think When You Need: Self-Adaptive Chain-of-Thought Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.150611Z

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 dee1e25f-c0d1-41a5-bfac-29349f636835 · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T01:29:59.463518Z

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 8b924cce-9f1b-4b33-8b7b-e9d9ac5230bf · outbound

This paper cites Gvpo: Group variance policy optimization for large language model post-training.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Gvpo: Group variance policy optimization for large language model post-training

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.132290Z

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 c9cc6d41-6abd-40f6-ae27-1b1dfb581ddb · outbound

This paper cites Group Sequence Policy Optimization.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Group Sequence Policy Optimization

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:22:31.140904Z

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 1a126558-2aa2-41fa-822f-bb3b714ebddb · outbound

This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.136212Z

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.

Pith citing papers

No inbound Pith citation observations are available.