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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:16:58.289650Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:16:58.436517Z

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=sha256:4326ad695b78a09cfd20ae27216ab34cf746de4bae94e2d528bc31d5571cfbe0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:04:37.760363Z digest=sha256:73b7fbd77db7fee723f0102f60aadf95eca85b7d42a796d4c1b7aaac94140913

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=sha256:0aabb25a6c6bd0e1f63f66b5110606fbad95d0baf485519bb576fb8c52404896

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:cf20058d9d9a44fab30af3fb24ccb749b79e7d193f26d11113b37654fc3ceaa0

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=sha256:05aaac1e9a3c292a220d816da30f58bf1a9d226bd08d1344645d32c3570b61eb

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=sha256:76f11c13518009549b25bbe4379c54ad43d3ddc1db459df32ad23403688473a4

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=sha256:51e4a35ef901888b67a0ebec6d00abda683fa92c063bd3e7604fb3d957067728

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=sha256:1eb47b38b64e6cdcba4747a6946631382de503ccc572497e349c45583ee019e0

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=sha256:56e80ad9085805dab59e27a7dad721131670215bb02e1285ad2026b8187d118c

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=sha256:3a7863f6347a0d6155b0eaf8c838958c7effb54555d2acf1539550380f0a58d1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T14:04:38.635583Z digest=sha256:0d6bf6796d738d63462bd14523f44ab3d19bcd951dcb09bd9270194d38a24f33

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:b10e69afe2e28448ddf7f4bcf4d1e8d8f09fb556f1a0ff3af9bbe49cae225e15

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:e0f2e06bc1f12057123cca66853c9a246fcd1a4364624f518655e0ab129d7bb2

Pith citing papers

Observation cc508af9-707a-4222-bd61-1a03167d0b2c · inbound

Efficient Agents: Building Effective Agents While Reducing Cost cites this paper.

Efficient Agents: Building Effective Agents While Reducing Cost UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:16:58.441513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:16:58.289650Z digest=sha256:522e15564a936630fde6885eb9f7886642837a496d5dbabdcdc62d349e6c96a8