Paper Citation Record · LEDGER

Towards Building the Federated GPT: Federated Instruction Tuning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.05644.

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

pith.paper-citation-record.v1
2305.05644 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:27.071235Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 61b50890-3de0-47f7-b7ca-7d760a177e94 · inbound

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach cites this paper.

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Towards Building the Federated GPT: Federated Instruction Tuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:27.071235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model cites this paper.

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 50fc8f1e-fcec-4fa7-92bd-1aef1a73657c · inbound

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix cites this paper.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Towards Building the Federated GPT: Federated Instruction Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:50.027935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9e35d1-5ad7-4ec5-9a9d-98c63397b230 · inbound

Safe-FedLLM: Delving into the Safety of Federated Large Language Models cites this paper.

Safe-FedLLM: Delving into the Safety of Federated Large Language Models Towards Building the Federated GPT: Federated Instruction Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:25.698593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146fdd50-7fc8-4907-bf7d-1b8cdb12d3b9 · inbound

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization cites this paper.

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization Towards Building the Federated GPT: Federated Instruction Tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:56:01.820082Z

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 6d31e293-c3f1-4598-be48-85876b2e1519 · inbound

FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning cites this paper.

FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning Towards Building the Federated GPT: Federated Instruction Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-08T22:29:18.070352Z

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 778c0fe1-099c-43df-baba-0414415c1b3e · inbound

EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints cites this paper.

EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints Towards Building the Federated GPT: Federated Instruction Tuning

Reference 33

Resolution: malformed identifier; arxiv_id, observed 2026-05-12T08:31:24.453232Z

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.