Paper Citation Record · LEDGER

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.07440.

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

pith.paper-citation-record.v1
2506.07440 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:38.782950Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:40:34.750724Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy3
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5bc6655-95ec-4399-9376-b6395f1c118d · outbound

This paper cites GPT-4 Technical Report.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.641400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79e994c7-a3c1-4c4b-9b55-8d7d828bb80a · outbound

This paper cites Language Models are Few-Shot Learners.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.654200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25589031-cf85-4580-9279-061cc003f167 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.670653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38570f64-697d-4f14-bb68-506e0dfa2e95 · outbound

This paper cites On the Privacy Risk of In-context Learning.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality On the Privacy Risk of In-context Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.674222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50845e22-a601-4954-b7ae-ef13a6a5b5cd · outbound

This paper cites The Llama 3 Herd of Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.678492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31c8631f-bd0b-4a71-8c3e-a5934beca9a7 · outbound

This paper cites FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.682227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9294d641-9d0f-49ff-96f0-362a3c9ebb28 · outbound

This paper cites Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.685820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d824dadb-2a95-461b-bf23-c6228b114bf9 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.693232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b3b904-4548-4d39-abc2-34926757163c · outbound

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

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.700333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f57021e-b374-4e2c-8f0b-35a68f237fe2 · outbound

This paper cites An Information-Theoretic Analysis of In-Context Learning.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality An Information-Theoretic Analysis of In-Context Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.703423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d7070e-ea2d-45b0-9f0f-1f8dc7e67019 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.707387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a63fef-d273-4049-bbc4-1f307019bc24 · outbound

This paper cites Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:42:38.981686Z

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 13372f7c-8688-4d7b-8d4a-9823a5b3bd76 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.714386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0d77c3-a524-4bb5-bd59-fac010b6caf6 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.718406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a470171f-cece-4e1a-a69c-1cfc6c1bf2de · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality What Makes Good In-Context Examples for GPT-$3$?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.721998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 413b9181-4904-4483-a1b7-0666b1aac967 · outbound

This paper cites 4o mini: Advancing cost-efficient intelli- gence, 2024.URL: https://openai.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality 4o mini: Advancing cost-efficient intelli- gence, 2024.URL: https://openai

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:39.172546Z

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 06b32a4c-4437-438a-9a54-db84f8052717 · outbound

This paper cites Text-driven Prompt Generation for Vision-Language Models in Federated Learning.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.728689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84d1513-dc57-4c88-88e2-b1670d6c7871 · outbound

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

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.732285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f314605-7427-41c9-af25-912dc3203d5c · outbound

This paper cites The Future of Large Language Model Pre-training is Federated.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality The Future of Large Language Model Pre-training is Federated

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.736432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15cac342-1ad2-4f07-87aa-8ba3e0230c58 · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality BLEURT: Learning Robust Metrics for Text Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.740034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297b2111-33a4-4abc-b683-d64ca366582b · outbound

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

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Gemini: A Family of Highly Capable Multimodal Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.743665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b31bab-f56f-4d77-a145-824554729d9c · outbound

This paper cites LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.746830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d300cb87-caae-4cb2-bb78-907d9b6ab5cc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.750325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6088b5-51a6-4435-ad9b-9199fb47c91c · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.753851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8d0b3f-4bbb-4562-8647-52258ec79de6 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Transformers: State-of-the-art natural language processing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:39.161233Z

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 4bc713b8-ab39-4e32-b1a0-ee44190aebc3 · outbound

This paper cites Federated In-Context LLM Agent Learning.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Federated In-Context LLM Agent Learning

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:42:38.866255Z

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 0647accc-120d-4a2b-80ae-436591b35651 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.764691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e419c8-f8e4-4618-ad39-29a35cf8c725 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality TextGrad: Automatic "Differentiation" via Text

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.768387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d52439-3faf-4ea9-a56d-1d0f3c782851 · outbound

This paper cites Extracting Prompts by Inverting LLM Outputs.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Extracting Prompts by Inverting LLM Outputs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.771942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45937a89-d280-46e5-9f4e-0a22770602bb · outbound

This paper cites An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.775781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c55de3-6bd7-488f-9404-b8f277e4f2f1 · outbound

This paper cites Effective Prompt Extraction from Language Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Effective Prompt Extraction from Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.779335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4326537b-afec-42d8-8323-40b4b0f54d79 · outbound

This paper cites prompts.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality prompts

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:42:39.150864Z

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 ebacc265-7c29-422e-9e7c-1ed6523700ef · outbound

This paper cites Investigating Data Contamination in Modern Benchmarks for Large Language Models.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.666546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65da570e-5ff2-4cda-a79e-25af64ceb459 · outbound

This paper cites Can Textual Gradient Work in Federated Learning?.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Can Textual Gradient Work in Federated Learning?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.658400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a1454b-cb31-4fe8-99a1-97acd9b26357 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Measuring Massive Multitask Language Understanding

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.689540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbe78b5-2160-47d0-a62c-25b5479d6bd8 · outbound

This paper cites EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.645861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7fd676-4c38-4a70-ac16-4f92ebb0e83f · outbound

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

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality What learning algorithm is in-context learning? Investigations with linear models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.650283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de3bf8a-670e-4ffd-8d13-05f02c5f9db0 · outbound

This paper cites Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.662534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4aa0a6f1-ded3-4ce3-8e10-e8fba70ae4eb · inbound

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable cites this paper.

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T05:40:34.750724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.