Paper Citation Record · LEDGER

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.11417.

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

pith.paper-citation-record.v1
2412.11417 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:00:08.031991Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:05:56.982882Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:05:57.178299Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy15
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d00e597f-15e3-4487-99b4-bfa81ceff794 · outbound

This paper cites Emulating human play in a leading mobile card game,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Emulating human play in a leading mobile card game,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.520355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f55e57d-deef-4103-97b2-3a6274f2cd30 · outbound

This paper cites Strategy generation for multiunit real-time games via voting,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Strategy generation for multiunit real-time games via voting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.506210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87c4d2a5-0288-4ebf-9d9e-30afd255b7d3 · outbound

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

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Mastering the game of go with deep neural networks and tree search,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.898957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b6b15f2-8625-4cfd-b729-feda5e1c1556 · outbound

This paper cites Mastering the game of go without human knowledge,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Mastering the game of go without human knowledge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.478255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be9a6928-f320-4ee0-8bad-b796dd5bd260 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Dota 2 with Large Scale Deep Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.908513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770441ca-cea8-4476-86fd-f79a168e5dff · outbound

This paper cites Grand- master level in starcraft ii using multi-agent reinforcement learning,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Grand- master level in starcraft ii using multi-agent reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.912367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff7780fc-ad59-479b-b86d-4fa626738e96 · outbound

This paper cites Full douzero+: Improving doudizhu ai by opponent modeling, coach-guided training and bidding learning,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Full douzero+: Improving doudizhu ai by opponent modeling, coach-guided training and bidding learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.455730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64b263ad-2f62-4386-97b7-3821930a4ef8 · outbound

This paper cites Danzero+: Dominating the guandan game through reinforcement learning,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Danzero+: Dominating the guandan game through reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.439689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df76c031-04ab-433d-be60-0f896c32bdb1 · outbound

This paper cites Mastering curling with rl-revised decision tree,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Mastering curling with rl-revised decision tree,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.421983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ea2a705-d8d3-4556-b82a-63bbefc77ab9 · outbound

This paper cites Emergent Abilities of Large Language Models.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Emergent Abilities of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.929274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07566e5c-beea-47a0-b7e4-4189e3ac2f7b · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement ReAct: Synergizing Reasoning and Acting in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.933048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b7a8cf-4cae-4b0d-85b9-efaf1665636b · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.937744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bed98f-5c20-4161-ae53-5f6b7836fd32 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Toolformer: Language models can teach themselves to use tools,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.407847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2cc585e-8cea-4c99-994d-da740061e6a3 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.394911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff0bb081-c039-44d1-afc8-da712c7c5971 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement WebGPT: Browser-assisted question-answering with human feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.950201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b8a1a4-dbd3-47d4-8bd5-81c9654ba6ed · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.954741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859a69ad-8b17-47d3-b864-e660a24d1f91 · outbound

This paper cites Qwen2.5-Coder Technical Report.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Qwen2.5-Coder Technical Report

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.959349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472aa2cf-26a8-49fd-a4b1-c82d535c664f · outbound

This paper cites Google research football: A novel reinforcement learning environment,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Google research football: A novel reinforcement learning environment,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.381343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9cee1c4-38e1-4fe1-a281-c4f7f4ba7bd5 · outbound

This paper cites Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.967882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c92bffee-6d9a-4986-b24b-c007d951a374 · outbound

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

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Suphx: Mastering Mahjong with Deep Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.972096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4cdb99-e01f-491c-ade4-7e571b6f9a31 · outbound

This paper cites Douzero: mastering doudizhu with self-play deep reinforcement learning,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Douzero: mastering doudizhu with self-play deep reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.370177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c62660c-41c8-4ee4-9c49-9d2b2b42bbba · outbound

This paper cites Chessgpt: Bridging policy learning and language mod- eling,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Chessgpt: Bridging policy learning and language mod- eling,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.357255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 707485f5-32a9-4022-bd5e-63f75c031243 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.985179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f367805-8182-4f17-9b07-4a01c2234c06 · outbound

This paper cites Minedojo: Building open- ended embodied agents with internet-scale knowledge,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Minedojo: Building open- ended embodied agents with internet-scale knowledge,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.341422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20691713-3637-45f5-a115-b1beba7a27b9 · outbound

This paper cites Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.993239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff03e40f-694b-46b5-b091-258372deea50 · outbound

This paper cites PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:07.997528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d3722e-674d-47f5-9302-560bdf60efd5 · outbound

This paper cites Towards general computer control: A multi- modal agent for red dead redemption ii as a case study,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Towards general computer control: A multi- modal agent for red dead redemption ii as a case study,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.327854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1983a87b-3a89-4a8f-a862-cf6c2ba03a60 · outbound

This paper cites Executable Code Actions Elicit Better LLM Agents.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Executable Code Actions Elicit Better LLM Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:08.007362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80fca482-4d62-44f2-b6c1-9deee9c155c9 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:08.011376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72106eca-28e0-44b2-a468-1638ec2aa15d · outbound

This paper cites an unresolved cited work.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:08.015989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30c1fa6-e9bb-4ffd-a3fa-0bc0f7a68f8b · outbound

This paper cites Proximal Policy Optimization Algorithms.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Proximal Policy Optimization Algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:08.022494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed43bd58-15d1-48ef-a345-ca377a0bf7bc · outbound

This paper cites Trust region policy optimization,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement Trust region policy optimization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.305964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c7265be-94ef-4eeb-b933-6a2a144dd2dc · outbound

This paper cites High- dimensional continuous control using generalized advantage estimation,.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement High- dimensional continuous control using generalized advantage estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.287462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 706dfce6-7892-42bf-b350-c2ebf1cbde03 · inbound

Multi-Armed Bandits-Based Optimization of Decision Trees cites this paper.

Multi-Armed Bandits-Based Optimization of Decision Trees RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:05:57.183612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.