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Paper Citation Record · LEDGER

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.15182.

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

pith.paper-citation-record.v1
2404.15182 v1

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:42:38.880515Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:43:29.188443Z

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 d0122bf2-9bfd-4123-9f9e-c1005744c4a0 · inbound

Many-Task Federated Fine-Tuning via Unified Task Vectors cites this paper.

Many-Task Federated Fine-Tuning via Unified Task Vectors FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-08T15:42:38.880515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:42:38.880515Z digest=sha256:598b9ab09e4323893f216b8af252425410e2b74526d5440100d2ab59f756fb91

Observation 8af07709-8cd8-4605-97fa-b9322c7bc2e0 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-08T12:20:08.836572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:20:08.836572Z digest=sha256:53c2076baf6cab96e2862936c19251df81af611e71aa98cde07718f5afce7760

Observation 240a47e4-0d07-48ff-a280-4f71f9c98279 · inbound

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs cites this paper.

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 281

Resolution
unresolved
no resolver link, observed 2026-08-07T05:47:57.823736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:47:57.823736Z digest=sha256:b1793fefd199d68fabf2e457e5688ea8da627b879027bee8a9bc9f50dabc60f7

Observation 91bae122-c5cb-44d3-9ff7-543d5686369f · inbound

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization cites this paper.

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:36.331651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:36.331651Z digest=sha256:dba9418c20851d073ae4b4178346831d4472f824082203b3f5e725dbe9b95e33

Observation 06cf7856-0ea7-4696-b75a-f429f91643ae · inbound

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning cites this paper.

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:43:29.190086Z

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.

source=pdf_text observed=2026-06-29T13:36:39.308309Z digest=sha256:4762950254a1b77bd70c6bd4c351cdf87f8250a7b2bad13c646a642d5aadfc84

Observation f9d2d0fc-ea0d-4d96-a7f2-7c4fe9ee2577 · inbound

Demystifying the Optimal Fair Classifier in Multi-Class Classification cites this paper.

Demystifying the Optimal Fair Classifier in Multi-Class Classification FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 162

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.639179Z

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.

source=arxiv_source observed=2026-06-28T18:49:29.377237Z digest=sha256:203d2b8e08e0bcd2af430ee95d5eedfbc9c472cc462bb992ecd5336705c46af6

Observation 46db7155-d9e1-4af4-bb80-1054882ba80e · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-02T09:01:51.014069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:01:51.014069Z digest=sha256:4dec7e843792c90304fe60166e51a10648125a234e675bd2c9631d4e7269643d