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Paper Citation Record · LEDGER

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.20154.

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

pith.paper-citation-record.v1
2505.20154 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:38.635583Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31faad40-3294-4175-8f1d-984339d79f99 · outbound

This paper cites WARP: Word-level Adversarial ReProgramming.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models WARP: Word-level Adversarial ReProgramming

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.670784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.670784Z digest=sha256:9bc824f726b6d50c72ff323af1c0ef7a297b7a3f53c793e7297f460d564e7610

Observation 96f928b4-65cc-4864-a47f-c21c5a9cbacd · outbound

This paper cites LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:04:38.969286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:04:37.760363Z digest=sha256:a861c186939f328a08ddd6abf7992d16df6c671939b5ff2da2e02e626bbfed89

Observation a4ab5bb4-3fea-4cda-99c4-cbbeac7c5aa7 · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.230039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.230039Z digest=sha256:79fa2412ecfd8bebd96ce9a38d9234220c56134ea61ff3606c9710ed7d033175

Observation 0fbcb6aa-988e-441b-b08b-97d7deaa235a · outbound

This paper cites Advancing Parameter Efficiency in Fine-tuning via Representation Editing.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models Advancing Parameter Efficiency in Fine-tuning via Representation Editing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.486938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.486938Z digest=sha256:99197c9741be6de7d3dfd8916aeb4eaa9f7f0e2d828929277bbd6ebae1564510

Observation 92203267-f789-403b-9c02-9472e785e552 · outbound

This paper cites I Can’t Believe It’s Not Better! - Understanding Deep Learning Through Empirical Falsification.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models I Can’t Believe It’s Not Better! - Understanding Deep Learning Through Empirical Falsification

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.564104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.564104Z digest=sha256:e0bf3cd347da6170594ea4f6d2a3c26fda3a725f8bca88fd153f83407a5114bf

Observation 49256270-498d-4edc-9fa6-d49f762236d6 · outbound

This paper cites $T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models $T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.493082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.493082Z digest=sha256:923f163bbc5307c0efc2da37e2cddb1daad3ef14017972c78562508cccf4cd14

Observation 710d7183-926c-474f-8736-a0c0222825f0 · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models VeRA: Vector-based Random Matrix Adaptation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.849989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.849989Z digest=sha256:32441fb81ee84a01da3937e1660ef859829cfcf54000c77256fcce35f8da766f

Observation f1760f0d-1822-4424-92eb-663de19c9bfb · outbound

This paper cites The E2E Dataset: New Challenges For End-to-End Generation.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models The E2E Dataset: New Challenges For End-to-End Generation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.067151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.067151Z digest=sha256:8dda1009d20692d3ae8812ff5e730d47f50710b5986c24ebfb3b0b4a1837be2e

Observation 77ce1575-fcf2-4164-add7-0d008d7814be · outbound

This paper cites Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.973140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.973140Z digest=sha256:5047f0bb72030aca65fc70786974e7044624f4fee91402a24df63133ee6c35a3

Observation 6597dc58-94ae-4348-b8b8-8761a9caae2d · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models Graph Retrieval-Augmented Generation: A Survey

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.149523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.149523Z digest=sha256:e88f0b8ddba20bf4ee00a7dd21532de653740d2f49dd9bd24807f36934000285

Observation 45fc0f1a-f5d6-421e-9d86-5a9a7a901367 · outbound

This paper cites main character, book, author, year of publication.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models main character, book, author, year of publication

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:39.188571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:04:38.635583Z digest=sha256:5d4f386b4b1ddd5df00bc9d70d85aa93a46afa65e7c545a4f4886ccd59a3afe7

Observation b659d51d-5c95-4b3b-a7e5-f47f6eac77da · outbound

This paper cites The Llama 3 Herd of Models.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.575901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.575901Z digest=sha256:006b3d3897dbf858beb0d4cc69b23cd1b10658804c078ee927fde7a3833fe9cd

Observation cb510fc1-6018-45f1-bddf-1e0bbfaf771a · outbound

This paper cites Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models.

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:38.384837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:38.384837Z digest=sha256:c55fbb856b0f41ca785fea6f295a9bccb49a35682b57be6b95b317b14d78aa90

Pith citing papers

No inbound Pith citation observations are available.