Paper Citation Record · LEDGER

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2507.00726.

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

pith.paper-citation-record.v1
2507.00726 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:15.438371Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:57:02.003590Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy5
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f523d3a-94c7-4424-857c-5d1edba60f18 · outbound

This paper cites write newline.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.562989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45a3217f-1ab5-4a3c-bac4-a3fa983b97bb · outbound

This paper cites an unresolved cited work.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:16.011700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50699f88-3097-4635-9f23-0e6dc5c007cf · outbound

This paper cites Chessgpt: Bridging policy learning and language modeling.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Chessgpt: Bridging policy learning and language modeling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.995114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1478d935-a06a-48d6-bd50-aada7116b6cc · outbound

This paper cites The Llama 3 Herd of Models.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.673504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9e949a-8796-4961-8374-ef58ad103bde · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.708823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27acc06-c949-4c8c-8792-6b2e0fbe7e01 · outbound

This paper cites Learning to Reason for Long-Form Story Generation.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Learning to Reason for Long-Form Story Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.743741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219e7b23-2f66-41dd-a309-695a3ec33382 · outbound

This paper cites Improving regression performance with distributional losses.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Improving regression performance with distributional losses

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.977225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67fda46f-0282-43ae-ab8e-130dc8072787 · outbound

This paper cites Bridging the gap between expert and language models: Concept-guided chess commentary generation and evaluation.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Bridging the gap between expert and language models: Concept-guided chess commentary generation and evaluation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.958182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37d0b883-01d8-4c91-8fb0-10d8a25cfbaa · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.849487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12671650-3fc0-4ac1-a651-65143299ec16 · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.885294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7265002d-5809-4e71-8fea-62d52dd94b3e · outbound

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

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Understanding R1-Zero-Like Training: A Critical Perspective

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.920254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf7ab677-32a9-444a-bad0-724cf9baecde · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.955840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6de8796-08e3-4c08-83e8-a16d9920ca50 · outbound

This paper cites Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:14.990922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5723c9a-921d-4b84-8298-04b430d1952d · outbound

This paper cites Qwen2.5 Technical Report.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Qwen2.5 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.027217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 720c2cf2-b5e0-4e70-ab0c-5b5526cd2638 · outbound

This paper cites Amortized planning with large-scale transformers: A case study on chess.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Amortized planning with large-scale transformers: A case study on chess

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.941797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf7edc7d-f230-4347-9a5c-06a11217689c · outbound

This paper cites Spurious Rewards: Rethinking Training Signals in RLVR.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Spurious Rewards: Rethinking Training Signals in RLVR

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.096866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f464150f-8539-46dd-9e52-8aaf5f9616dc · outbound

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

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.133788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd87893-dd80-4af9-8fa7-5460330dd696 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess HybridFlow: A Flexible and Efficient RLHF Framework

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.168117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9e4522-fbce-4ae5-ac6d-afa829209472 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.204837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac25e364-83af-4805-bc3c-61e9b5e52045 · outbound

This paper cites Attention is all you need.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Attention is all you need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.240659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e410e0-aecd-43f8-b37e-3f295d39d486 · outbound

This paper cites Explore the Reasoning Capability of LLMs in the Chess Testbed.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Explore the Reasoning Capability of LLMs in the Chess Testbed

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:13:15.641036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d94fe74a-0bdd-4957-91ea-b8875bf22864 · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.311542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e8cd449-4306-4088-8306-33b72a2f453f · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.347231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3dbd584-e7dc-47d8-80f3-c14f00d2d54f · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.383047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb13532-71c1-4418-b679-f952e7921f18 · outbound

This paper cites Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.388077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d2e018-9101-4a3e-b509-31e9071a9cfa · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.393896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f828f5-7772-42e0-878a-8a4b404ad8a7 · outbound

This paper cites Complete chess games enable LLM become a chess master.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Complete chess games enable LLM become a chess master

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:15.912353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e6717eb-45a6-40a0-ab59-0e9be9669c13 · outbound

This paper cites Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.405997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d424eeb-176a-41e2-9fe5-0ff6b21aa5d9 · outbound

This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.411620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb9ee45-ebdf-46fe-9dd0-c32d2aec739b · outbound

This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.416519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325fed64-2de9-4f52-a07f-19e0f6dd0cb4 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.421675Z

Source-reported events for the cited work

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Observation 5f8ed20e-7cc6-4427-a66c-026994472dbf · outbound

This paper cites @esa (Ref.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess @esa (Ref

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.427861Z

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Unavailable: canonical work link unavailable.

Observation fbae588f-ffbb-4ce6-8647-1327ecf9de9e · outbound

This paper cites an unresolved cited work.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.433040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c06d96-8721-4c7a-93a9-4a33430379b9 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:15.438371Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation d7f9eae7-12e7-4379-aaea-ec90088c20bb · inbound

The Weight of Silence: A Causal Case for Weights Over the Scratchpad in Latent Chess Reasoning cites this paper.

The Weight of Silence: A Causal Case for Weights Over the Scratchpad in Latent Chess Reasoning Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T08:57:02.003590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.