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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:16.057354Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:717b63e9d8d4b4e089fb82975828425f20b86bcb3fe77020e9ca8a82f5261c49

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T23:20:32.330351Z digest=sha256:2b59234dc063f0d5235c552f3e5886e80c1a9628a0b769c9f0c734012d7a19af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T18:11:44.073658Z digest=sha256:63af94fb1b8aa2d5db0fad36b7a9396c3efe03ceae9f6fc030b87bd20e7f00d0

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.

source=pdf_text observed=2026-08-06T15:14:16.057354Z digest=sha256:4f07b8c51f50eb0705d9d9bb95350ea7821e27181e5b15448c882d6fc4d8f476

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T17:56:34.111280Z digest=sha256:b64ac8570d3857ba6a1201516da414e3f2f9b475a36f94de4759132458d60ad9

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.

source=pdf_text observed=2026-08-01T14:35:01.221242Z digest=sha256:80ba435a9812d7b6b7a18b192acd70442b8455c3c067434d4b09e242a54f3bea