Paper Citation Record · LEDGER

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.01467.

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

pith.paper-citation-record.v1
2310.01467 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:22.169338Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:39:47.097757Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ccf9532c-57d1-427c-9ff6-c6021dbbece6 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:22.169338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d04cfd4-51ec-436e-a9f9-39395f48ceb2 · inbound

Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs cites this paper.

Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.743587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49d10174-f4f2-4f27-820e-831b1024b4ed · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:47.099608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f08c24a9-b92c-42b6-af46-c2787affa19e · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:39.407055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.