Paper Citation Record · LEDGER

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2507.21488.

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

pith.paper-citation-record.v1
2507.21488 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:48:16.763640Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:08:06.493103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.437239Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a19c1510-dae7-4268-855a-16cebb330ae7 · outbound

This paper cites Markov games as a framework for multi-agent reinforcement learning.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Markov games as a framework for multi-agent reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:48:16.935573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aae14570-8e16-4d34-892a-b67ae05028c1 · outbound

This paper cites an unresolved cited work.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:48:16.895427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92144109-1d6d-458a-aeef-377e6bdd4f4e · outbound

This paper cites Treasure Island.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Treasure Island

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:48:16.885480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09f964f1-b361-44a0-9948-2992cf176b7d · outbound

This paper cites Maia-2: A Unified Model for Human-AI Alignment in Chess.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Maia-2: A Unified Model for Human-AI Alignment in Chess

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.739213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866503a5-9c31-47e2-8706-30944399f09e · outbound

This paper cites Human-like decision making for autonomous driving via adversarial inverse reinforcement learning.arXiv, pp.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Human-like decision making for autonomous driving via adversarial inverse reinforcement learning.arXiv, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:48:16.925228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f8496b6-f804-4308-83bc-77f58294ad5a · outbound

This paper cites Human-aligned Chess with a Bit of Search.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Human-aligned Chess with a Bit of Search

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.749629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25828c7a-67f8-418b-a1eb-7a6c92334db7 · outbound

This paper cites We follow the notations from Maia-2 (Tang et al., 2024).

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess We follow the notations from Maia-2 (Tang et al., 2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:48:16.915503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ec92693-ed0c-400e-87f5-d93a1d185082 · outbound

This paper cites Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.735662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd29e53-5fb9-47f4-a131-c8434d4fc12f · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess On First-Order Meta-Learning Algorithms

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.729028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc0d790-8051-493e-84dc-b17a1a12828b · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.718708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73aad40f-eb3a-40af-85be-812e97c7ab1b · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess LoRA: Low-Rank Adaptation of Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.715041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c4087a-8c33-4a19-93a8-0620fc047a0b · outbound

This paper cites A cell is marked 1 to denote the presence of a piece in the corresponding location, and 0 otherwise.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess A cell is marked 1 to denote the presence of a piece in the corresponding location, and 0 otherwise

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:48:16.905753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8ee7c1b-786d-4b18-a34d-f4f9ff1506c0 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.746360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb50dab7-c5ad-4974-9866-3ad566c6a514 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.722410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edcfc1a3-7d3b-4d1e-8cd1-74683301225b · outbound

This paper cites Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:16.732228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eead41c9-00bf-45c6-a195-73a5c5d06995 · inbound

Toward Modeling Player-Specific Chess Behaviors cites this paper.

Toward Modeling Player-Specific Chess Behaviors Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:22:23.477451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 419f1dac-1005-4ec2-93ca-62798b0a17e6 · inbound

ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction in Online Blitz Chess cites this paper.

ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction in Online Blitz Chess Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.438824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.