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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:1e523e24fbb0fcfa6a99a3974f8ae05653008ee4389014a4bd1c72ff012ca407

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

source=pdf_text observed=2026-08-07T14:04:37.760363Z digest=sha256:420401ede1f7c0d38249368acbed2165d479e0e0b3c9f76a3ee8e1dc1b2615b4

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:e5386614a9ade7d1881d7126bcf975c0adc0dcb0a38216a677e830d259d2e03e

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=sha256:7d2578904994927e4f3b59b07c3d0706aef5999f8f90e4df6dda22332101c110

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=sha256:67b434e9c402971bc9b7c04775e1fe0f0a92665f97a1a9aab835a95ba5ecb59b

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:ebd3001253e2d1c14f7f63a8ae375c54e02356ffa18e90c1e6559728d3955879

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=sha256:4db0100c4d4e6951ef8adabc0d07ec12050f2d5ea8ffdb90d54ed3f1babec7b2

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=sha256:6bbabb8c7f22fc9ba0ae85635d05c0baed6f3a5e301b2c4f33b909edf3fb614e

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=sha256:632e03c767370811ea893f17e1f25310468dff4ad7d33676b5150bf4737b5209

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:f249394f77da89d452b728ceac68847703e4578eb7d07befae1538aa6651db3c

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

source=pdf_text observed=2026-08-07T14:04:38.635583Z digest=sha256:5a586367f6c4aabdc33d3c37f1160376fe9c01b22b3cd7c1aa9ec74c7ec0cee8

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=sha256:71036a2b0bc3fab5872e8e00bf1baf946c63cfb1e62a60661962d3ba48fc7fb0

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=sha256:682df5230912fbffca9f687e7233c45c338bcb3ffbe6a5561c3fb971fee2d752

Pith citing papers

No inbound Pith citation observations are available.