Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.15080.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:00.834353Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T11:32:36.824013Z
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 ccb837de-d0d5-44d3-8ad5-957164b11df2 · inbound
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 150
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T11:32:36.825821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8db3b7a-3086-49d5-97b1-2ac9ec155c59 · inbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems cites this paper.
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:29:00.834353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dbe40fa-1c77-43eb-8d62-62ff97fd82d2 · inbound
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models cites this paper.
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:18:29.106406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 156d8865-31d3-40d2-b415-a212815bd995 · inbound
FedNAMs: Performing Interpretability Analysis in Federated Learning Context cites this paper.
FedNAMs: Performing Interpretability Analysis in Federated Learning Context Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:33:37.443353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d0c1700-4809-4fb7-8717-5c24d9f0c751 · inbound
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models cites this paper.
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:18:42.286695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.