Paper Citation Record · LEDGER

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 6 inbound Pith citation observations for arXiv:2505.00234.

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

pith.paper-citation-record.v1
2505.00234 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:55:41.598963Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:52:17.232759Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy4
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 70911698-d103-4939-9b0f-65a39cc979bf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Chain-of-thought prompting elicits reasoning in large language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.363684Z

Source-reported events for the cited work

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Observation 510cc097-290f-4b17-a963-1ca1cbd26337 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.368942Z

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Observation 0804d742-43fb-47e9-8167-64e32c3d59ba · outbound

This paper cites Larger language models do in-context learning differently.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Larger language models do in-context learning differently

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.374562Z

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Observation 87be1895-d168-4b9b-b280-af610e1b21ef · outbound

This paper cites AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.380614Z

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Observation 4b88d6c2-9f9f-44b7-8afe-c6ac7f9e805e · outbound

This paper cites AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.387716Z

Source-reported events for the cited work

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Observation 253a9481-1799-4abf-b366-9f637795d9e7 · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks What learning algorithm is in-context learning? Investigations with linear models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.393615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb408cf-2dd4-4233-bbad-4b1246ceef2a · outbound

This paper cites Transformers learn in-context by gradient descent.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Transformers learn in-context by gradient descent

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:55:42.283695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c5c8edb-dba9-4c8d-9ffd-8f8db7eda2fd · outbound

This paper cites Many-shot in-context learning.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Many-shot in-context learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.404150Z

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Unavailable: canonical work link unavailable.

Observation b02541ed-1d18-4b4d-83a7-9a7cf556873c · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks React: Synergizing reasoning and acting in language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.408621Z

Source-reported events for the cited work

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Observation 44660e9d-9e64-406e-84dd-6cb5d602dc3d · outbound

This paper cites RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.413489Z

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Observation 9f9c9de9-7574-42f3-acd2-1284870905e1 · outbound

This paper cites Trad: Enhancing llm agents with step-wise thought retrieval and aligned decision.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Trad: Enhancing llm agents with step-wise thought retrieval and aligned decision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:55:42.245403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4cee4501-61e7-40f6-875e-fa137f4a3fdc · outbound

This paper cites AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.423712Z

Source-reported events for the cited work

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Observation 84384bd3-8157-4170-9212-843a2eddeabb · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.428916Z

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Observation b0dfa143-ea34-4016-90e1-eae62b4bb2e2 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.433823Z

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Observation a7849ee0-9b5a-4aac-9f5b-b1942bf673ee · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Llm-planner: Few-shot grounded planning for embodied agents with large language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.438661Z

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Unavailable: canonical work link unavailable.

Observation 1c812101-e781-4b52-9d21-2f0b68140259 · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.443602Z

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Unavailable: canonical work link unavailable.

Observation 759f191b-9a6d-431e-a434-ea99d43fc35b · outbound

This paper cites Expel: Llm agents are experiential learners.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Expel: Llm agents are experiential learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.449173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8754f51-239d-474b-921d-f4b4dcd7aaeb · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.454897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e021bbe5-8a11-4f41-9bf7-c07312d5559d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Direct preference optimization: Your language model is secretly a reward model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.460374Z

Source-reported events for the cited work

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Observation ad1e6859-42aa-4dfb-8a8f-d0e279c47680 · outbound

This paper cites OpenAI o1 System Card.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks OpenAI o1 System Card

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.465249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea27f762-116d-45bc-a010-14821bcec6c1 · outbound

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

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.472711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749b7153-70af-46cb-859d-21d5c90bb456 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.477799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30c18856-c28c-4b70-b38c-b9424e5c6394 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.484092Z

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Unavailable: canonical work link unavailable.

Observation a5edb61b-6d55-43b2-9919-cc36a2b4482e · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.489587Z

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Unavailable: canonical work link unavailable.

Observation 2e6a3c8b-e18e-4b16-b4f3-052e6cfbcf70 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.494447Z

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Unavailable: canonical work link unavailable.

Observation 2460606b-a6c4-43ea-aeec-769e0a811ab2 · outbound

This paper cites Planning In Natural Language Improves LLM Search For Code Generation.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Planning In Natural Language Improves LLM Search For Code Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.499674Z

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Unavailable: canonical work link unavailable.

Observation bc65dae4-e0a4-443d-aa8b-f82f93e057c1 · outbound

This paper cites Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.505813Z

Source-reported events for the cited work

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Observation ac72714f-3d58-4758-ae01-bb968285465c · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Reflexion: Language agents with verbal reinforcement learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.511718Z

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Observation 92897b7a-b172-40e4-8c1e-29fd97050f20 · outbound

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

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.517165Z

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Unavailable: canonical work link unavailable.

Observation 01d8dfa7-7c42-43a2-94ac-5bcf4834b3a1 · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.523904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b812394-10f9-4087-87d2-59f2770ad97d · outbound

This paper cites Automated Design of Agentic Systems.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Automated Design of Agentic Systems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.529807Z

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Observation 75c7c68f-436d-4351-9ef0-a9ed89b0faa7 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks AFlow: Automating Agentic Workflow Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.536188Z

Source-reported events for the cited work

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Observation 553a94dd-7261-465d-aaec-65cd946935b6 · outbound

This paper cites Reinforcement learning by reward-weighted regression for operational space control.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Reinforcement learning by reward-weighted regression for operational space control

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.541980Z

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Observation a15f8335-5750-4905-8ec2-f08ec9821b63 · outbound

This paper cites Population Based Training of Neural Networks.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Population Based Training of Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.547419Z

Source-reported events for the cited work

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Observation 79e3d0bd-f3c7-4dfc-af10-c762b92e3373 · outbound

This paper cites Reinforcement learning: An introduction.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Reinforcement learning: An introduction

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:55:42.175327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d5eb9df-0249-4a02-85df-309482a3c23d · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.559229Z

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Unavailable: canonical work link unavailable.

Observation 70e78364-9118-4fb7-b91d-ce56d748ce21 · outbound

This paper cites Intercode: Standardizing and benchmarking interactive coding with execution feedback.Advances in Neural Information Processing Systems, 36:23826–23854, 2023.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Intercode: Standardizing and benchmarking interactive coding with execution feedback.Advances in Neural Information Processing Systems, 36:23826–23854, 2023

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.564832Z

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Observation f4e037e6-6df6-4668-b52f-d39f0038305e · outbound

This paper cites WordCraft: An Environment for Benchmarking Commonsense Agents.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks WordCraft: An Environment for Benchmarking Commonsense Agents

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:55:41.702179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8097bab1-3835-4cfc-8e81-11bc864066cd · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.575419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d2f030-ccbf-4976-a483-d1c4d1125843 · outbound

This paper cites The Faiss library.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks The Faiss library

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.580646Z

Source-reported events for the cited work

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Observation d3aed6de-f9d6-4881-a2fd-e3b44bae0579 · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Webshop: Towards scalable real-world web interaction with grounded language agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.586272Z

Source-reported events for the cited work

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Observation e935c22e-252d-4c83-bad0-2cb3b99a408f · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.591891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fe2552-1198-41cf-9a81-bf8d7cf15105 · outbound

This paper cites Find the first name of a student who have both cat and dog pets.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Find the first name of a student who have both cat and dog pets

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:55:42.135368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 6f73a2d5-e9c5-4c58-87b8-ddcd0b107500 · inbound

Dynamic Tool Dependency Retrieval for Lightweight Function Calling cites this paper.

Dynamic Tool Dependency Retrieval for Lightweight Function Calling Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:18:32.802582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1c5373a-8336-41f0-987e-194b82e90bb4 · inbound

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast cites this paper.

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.269342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fbad889-1382-4ade-aac8-c3986ac99383 · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.637082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3822e6a-619b-4f23-9b07-9fa736463b64 · inbound

Training Language Agents to Learn from Experience cites this paper.

Training Language Agents to Learn from Experience Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:14:02.632692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e13be59-e675-4c39-87d0-87265bc85e17 · inbound

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents cites this paper.

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:24:40.511870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d97938c7-3bd3-4195-8a2f-115eb7cb90d8 · inbound

RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation cites this paper.

RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:36:44.957577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.