Paper Citation Record · LEDGER

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.19164.

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

pith.paper-citation-record.v1
2506.19164 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:26.344455Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3a64cf3-5b66-488d-a3ff-5e8b09feb02d · outbound

This paper cites Language models are few-shot learners,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Language models are few-shot learners,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.743311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2647cb45-6932-48df-a7d0-f19f3b379837 · outbound

This paper cites Domain-specific pretraining for natural language understanding,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Domain-specific pretraining for natural language understanding,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.728950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81ef46b2-7e7d-4771-893f-e7d0e3723656 · outbound

This paper cites Privacy challenges in large-scale language models,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Privacy challenges in large-scale language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.714212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b21e4b9-0663-4046-8f2d-85ad373b1f1f · outbound

This paper cites Health data security and privacy: Challenges and solutions for the future,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Health data security and privacy: Challenges and solutions for the future,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.698729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9511d5d-13a3-465d-85c0-5f5f994536de · outbound

This paper cites Communication-efficient learning of deep networks from de- centralized data,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Communication-efficient learning of deep networks from de- centralized data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.684088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b60f0d6-7a22-4166-a1b2-7217b898fa5b · outbound

This paper cites Advances and open problems in federated learning,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Advances and open problems in federated learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.669783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9884f86e-ddc2-4fb7-b502-642f7a1121b6 · outbound

This paper cites Testing the Robustness of a BiLSTM-based Structural Story Classifier.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Testing the Robustness of a BiLSTM-based Structural Story Classifier

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T18:41:26.513698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d5340ef-19ec-485e-acfc-9f2258b70de2 · outbound

This paper cites Improving language understanding by generative pre-training,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Improving language understanding by generative pre-training,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.656777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9eb3c9c-3e9d-441f-9665-fcc8e18ced1a · outbound

This paper cites Recurrent neural network based language model,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Recurrent neural network based language model,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.630297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0515afd6-41ef-4b84-84bd-2b9b706f6625 · outbound

This paper cites Attention is all you need,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Attention is all you need,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.608690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4bcae10-9750-40ef-9256-02bfca5b4c61 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Lora: Low-rank adaptation of large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.593011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bbdafad5-8f9e-4594-b822-b06f90ca31d9 · outbound

This paper cites Aligner: Improving peft efficiency with alignment layers,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Aligner: Improving peft efficiency with alignment layers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.576599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b225bc3f-94fe-4cb3-a830-140e6aaf15a9 · outbound

This paper cites Scaling language model size in cross-device federated learning,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Scaling language model size in cross-device federated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.557566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8dfc7941-6af8-47e7-ac5d-70419b035d10 · outbound

This paper cites Communication-efficient federated learning via knowledge distillation,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Communication-efficient federated learning via knowledge distillation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.542504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd9255eb-86e3-48bb-b4ac-837cfcfbb678 · outbound

This paper cites FwdLLM: Efficient FedLLM using Forward Gradient.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model FwdLLM: Efficient FedLLM using Forward Gradient

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.324825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f66982-f1e9-4336-a12e-8831eb811768 · outbound

This paper cites Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.329524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0390697-5be9-4830-aee1-ed0886bf5157 · outbound

This paper cites Towards Building the Federated GPT: Federated Instruction Tuning.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Towards Building the Federated GPT: Federated Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.334803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3df64a-c9cb-42dd-a0d5-c67162750c76 · outbound

This paper cites FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:41:26.529307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bad5690e-6895-4cbd-b89c-1fc47ec9f317 · outbound

This paper cites On the convergence of zeroth-order federated tuning for large language models,.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model On the convergence of zeroth-order federated tuning for large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.344455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ff94f6-5697-41dd-a48e-6d989602058d · outbound

This paper cites Available: https://cdn.openai.com/research-covers/ language-unsupervised/language understanding paper.pdf.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model Available: https://cdn.openai.com/research-covers/ language-unsupervised/language understanding paper.pdf

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.298803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.