Paper Citation Record · LEDGER

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2110.07577.

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

pith.paper-citation-record.v1
2110.07577 v3

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 2026-08-08T10:26:45.476583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:11:54.483660Z

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 77b0f16f-b3b3-4a2d-a62a-94b939bb8417 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:37.027410Z

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 b65256a4-561d-4e0a-8e13-4fbf232632f5 · inbound

LLaVA-Video: Video Instruction Tuning With Synthetic Data cites this paper.

LLaVA-Video: Video Instruction Tuning With Synthetic Data UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:20:33.080613Z

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 4d2f4fbf-10c6-48e1-9e7d-02ed8692ae76 · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.476583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185feef7-5cc9-4d15-b25e-c758790fc470 · inbound

Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification cites this paper.

Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:11:54.487548Z

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 a431f047-6b97-4250-ac62-3479b767ceee · inbound

Learning Text Styles: A Study on Transfer, Attribution, and Verification cites this paper.

Learning Text Styles: A Study on Transfer, Attribution, and Verification UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T15:14:16.057354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7d9685-4f10-41f6-bf4e-084c7ee6028f · inbound

Combining pre-trained models via localized model averaging cites this paper.

Combining pre-trained models via localized model averaging UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T17:57:32.989581Z

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 e424728d-fb7b-4f2d-bd4d-7448dcc057be · inbound

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA cites this paper.

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:35:01.221242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.