Paper Citation Record · LEDGER

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.12801.

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

pith.paper-citation-record.v1
2506.12801 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:46:18.444164Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact2
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d60c76f-c66c-46c7-b466-3e13008fdfaa · outbound

This paper cites Qwen Technical Report.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.389618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e52cbcd-5108-4ad9-a602-db47319b4a2b · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.393519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e3d288-5a06-457b-8a66-40f6bb9cb86c · outbound

This paper cites Superhuman ai for heads-up no-limit poker: Libratus beats top professionals.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Superhuman ai for heads-up no-limit poker: Libratus beats top professionals

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:46:18.663337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a463155-2597-4ef2-964b-74a53a875e98 · outbound

This paper cites Superhuman ai for multiplayer poker.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Superhuman ai for multiplayer poker

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.400787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43e3e5e-e61f-4e27-ac90-a90c677fda84 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Adam: A Method for Stochastic Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.404441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85fc7ca2-1648-45de-af0e-6a7b1c8fa35a · outbound

This paper cites Suphx: Mastering Mahjong with Deep Reinforcement Learning.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Suphx: Mastering Mahjong with Deep Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.409319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b554b433-b37d-4f9a-9428-7b4829f02ce2 · outbound

This paper cites GPT-4 Technical Report.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents GPT-4 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.413161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594d8a22-23ea-45a4-93fc-9a61eb5e71ca · outbound

This paper cites Hello gpt-4o.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Hello gpt-4o

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:46:18.640607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a8aaed6-f233-4b68-a2bb-f811d8be521e · outbound

This paper cites Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:46:18.515643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d0c5ce8-5151-4d6f-b7e1-8045cc1a05b7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Proximal Policy Optimization Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.423124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79dd1ee9-63a7-4d91-bc3e-329bb2afcfba · outbound

This paper cites Trust region policy optimization.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Trust region policy optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:46:18.623923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09d1181f-e15e-4e90-95ec-3fbbca9fc126 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Mastering the game of go with deep neural networks and tree search

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.429458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786e676c-117e-4f70-a09f-c81640a7d0c6 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Gemini: A Family of Highly Capable Multimodal Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.432777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cab5b04-4471-45d2-b4a0-5688e6113dbf · outbound

This paper cites Td-gammon, a self-teaching backgammon program, achieves master-level play.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Td-gammon, a self-teaching backgammon program, achieves master-level play

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:46:18.601342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4dcc26b3-738a-4677-b8d4-a528b7371ddd · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:18.438225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e85127-3aad-4059-b998-c8d48157c9be · outbound

This paper cites Tree-of-thought prompting for large language models.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents Tree-of-thought prompting for large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:46:18.577443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d98cd54-82a1-42b4-90d4-ae650af919ba · outbound

This paper cites DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.

Mastering Da Vinci Code: A Comparative Study of Transformer, LLM, and PPO-based Agents DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:46:18.479386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.