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Paper Citation Record · LEDGER

DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.05182.

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

pith.paper-citation-record.v1
2404.05182 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.324499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:04:52.770033Z

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 5edbbfa3-3117-47e7-911c-b3fc07f612f7 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 250

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:37.107126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:d4821ba5625b7d738537b587772c87113984d00e31f6f9774c92b3a36c75d245

Observation 279ef132-4236-4d7b-a605-1ccc06d9c15a · inbound

When IoT Meet LLMs: Applications and Challenges cites this paper.

When IoT Meet LLMs: Applications and Challenges DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:58:52.611435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:58:52.611435Z digest=sha256:989e6428cc7cc69fa15f14926a93baa56ed451afb816df1c5d7d75407376bab9

Observation 2db0f888-f704-4914-b3a6-c98a9d91b2c9 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:48.324499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:59:48.324499Z digest=sha256:f28f47397ec1e506bc155fcd19969a13632467b9a4eabf26fed45fa140c86680

Observation aba34f03-8209-4e73-9c1b-88644ee85f9c · inbound

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption cites this paper.

Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:23:25.281375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:23:25.281375Z digest=sha256:bb2e061955e695edfb1f88a734cf909c01a40c566d9360b416d919b6396e1140

Observation 009be7e2-217d-4a64-a7a8-05940ab47468 · inbound

RED: Adaptive Real-Time DAG Scheduling for Robotic Inference under Environmental Dynamics cites this paper.

RED: Adaptive Real-Time DAG Scheduling for Robotic Inference under Environmental Dynamics DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:04:52.772010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T16:01:48.746926Z digest=sha256:e859dc0646bc36853bc27ad99f7b48c36151591fa127766caf8584e5283d611a