Paper Citation Record · LEDGER

Large Language Model-Enhanced Multi-Armed Bandits

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 4 inbound Pith citation observations for arXiv:2502.01118.

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

pith.paper-citation-record.v1
2502.01118 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:35:28.447005Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:51:50.319798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:45.028347Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy1
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ac073ff-9d07-4bd0-a484-31bec8094c44 · outbound

This paper cites Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

Large Language Model-Enhanced Multi-Armed Bandits Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.399651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae5361e-2716-490a-ac7a-b3e893acc484 · outbound

This paper cites In-context Exploration-Exploitation for Reinforcement Learning.

Large Language Model-Enhanced Multi-Armed Bandits In-context Exploration-Exploitation for Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.402832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef088c9-3e97-4d6a-9054-6f8144f7cdf2 · outbound

This paper cites Efficient Exploration for LLMs.

Large Language Model-Enhanced Multi-Armed Bandits Efficient Exploration for LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.405762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b1b16b-31b2-4072-ac64-9ff18668e5ef · outbound

This paper cites Can large language models explore in-context?.

Large Language Model-Enhanced Multi-Armed Bandits Can large language models explore in-context?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.412559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fce7a2-85a6-4237-a1a5-511c898a5531 · outbound

This paper cites In-context Reinforcement Learning with Algorithm Distillation.

Large Language Model-Enhanced Multi-Armed Bandits In-context Reinforcement Learning with Algorithm Distillation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.414618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a4f45e-0efa-4836-b504-e9d32e48dcd5 · outbound

This paper cites Feel-Good Thompson Sampling for Contextual Dueling Bandits.

Large Language Model-Enhanced Multi-Armed Bandits Feel-Good Thompson Sampling for Contextual Dueling Bandits

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.416638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f79b30-3afd-46c1-8894-1d1359c4d537 · outbound

This paper cites Prompt Optimization with Human Feedback.

Large Language Model-Enhanced Multi-Armed Bandits Prompt Optimization with Human Feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.419518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19a04e7-8d86-4d17-8419-f2bd12ee4e85 · outbound

This paper cites DeepSeek-V3 Technical Report.

Large Language Model-Enhanced Multi-Armed Bandits DeepSeek-V3 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.422266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9640052-2ea4-4ec3-ac20-e542a866f8f9 · outbound

This paper cites GPT-4 Technical Report.

Large Language Model-Enhanced Multi-Armed Bandits GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.427581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8e30af-bcb0-4fed-aa18-796d22b2f942 · outbound

This paper cites Wikilinks: A large-scale cross-document coreference cor- pus labeled via links to wikipedia.

Large Language Model-Enhanced Multi-Armed Bandits Wikilinks: A large-scale cross-document coreference cor- pus labeled via links to wikipedia

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:35:29.317407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e777ba9-046d-4891-8604-e21799a6a796 · outbound

This paper cites SmartPlay: A Benchmark for LLMs as Intelligent Agents.

Large Language Model-Enhanced Multi-Armed Bandits SmartPlay: A Benchmark for LLMs as Intelligent Agents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.435740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81caac2d-8707-4acf-ac4f-aa8752b83d8c · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Large Language Model-Enhanced Multi-Armed Bandits The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.438561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721aa724-5544-4a75-a6b6-cd19e0770c73 · outbound

This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.

Large Language Model-Enhanced Multi-Armed Bandits AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.441317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da32c694-8115-4e1f-86e5-32a9ef833f86 · outbound

This paper cites Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents.

Large Language Model-Enhanced Multi-Armed Bandits Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.444193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da292a3-76d7-43e0-83ae-7134394e7c3b · outbound

This paper cites Y ., McAleer, S., Fried, D., and Salakhutdinov, R.

Large Language Model-Enhanced Multi-Armed Bandits Y ., McAleer, S., Fried, D., and Salakhutdinov, R

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.410526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bfc6eeb-f2ca-4590-b52d-89aa034c0b8f · outbound

This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

Large Language Model-Enhanced Multi-Armed Bandits LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.447005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9b5af0-f6c9-4a12-b53c-52a27ba770c1 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

Large Language Model-Enhanced Multi-Armed Bandits Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.392673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa7b74c-07aa-4730-814e-0f0e3f15ad62 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Large Language Model-Enhanced Multi-Armed Bandits Reasoning with Language Model is Planning with World Model

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.408114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bec8d0-2692-46cf-91bb-7a64c7da2c42 · outbound

This paper cites Neural Dueling Bandits: Preference-Based Optimization with Human Feedback.

Large Language Model-Enhanced Multi-Armed Bandits Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.432870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a80937-72c7-4b81-8c85-3dde3647387a · outbound

This paper cites P., Xie, Q., and Nowak, R.

Large Language Model-Enhanced Multi-Armed Bandits P., Xie, Q., and Nowak, R

Reference 2023

Resolution: verified exact; arxiv_id, observed 2026-08-09T16:35:28.672114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 562233f7-1593-4733-bd40-d1f9d4fb1cd3 · outbound

This paper cites Efficient Sequential Decision Making with Large Language Models.

Large Language Model-Enhanced Multi-Armed Bandits Efficient Sequential Decision Making with Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.396588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7e85714f-417c-4951-a850-a56ad7447dad · inbound

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits Large Language Model-Enhanced Multi-Armed Bandits

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:51.129269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e24fc470-732f-419d-8a18-c5e79c456709 · inbound

Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits cites this paper.

Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits Large Language Model-Enhanced Multi-Armed Bandits

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.579124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 925a4193-bd9b-4dae-80d2-88e79e406c0b · inbound

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs cites this paper.

GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs Large Language Model-Enhanced Multi-Armed Bandits

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:45.029930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72a679c9-9451-436b-84b2-a0ae00b3e3ba · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Large Language Model-Enhanced Multi-Armed Bandits

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T23:51:50.319798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.