Pith. sign in

Paper Citation Record · LEDGER

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.12067.

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

pith.paper-citation-record.v1
2501.12067 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:51.864033Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:29.170521Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:57:29.511703Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0a5df0c-7dc5-489f-ab37-b2efd2fa2ed2 · outbound

This paper cites write newline.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.721831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.721831Z digest=sha256:8fa6ffa6dfc76f0192d5decdb6c3937c1507d227ec76b19b2ee26044751742df

Observation 3b840d29-cb83-44c1-984c-4845770c9f4b · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.727873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.727873Z digest=sha256:28d0e9cab1538c9c0a210fde7c6acad8a3a3f6de0e41b7696ec95c717f63d5dd

Observation bb068627-fbad-4c6a-9fe9-dfadf14ca618 · outbound

This paper cites LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.736356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.736356Z digest=sha256:58be3de9e7068daf88b9f31d818a2bad630351b7e8580fd7486d2603e5de2759

Observation b91c5bb7-7363-46f0-b403-c5dcb1afa39f · outbound

This paper cites Language Models are Few-Shot Learners.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Language Models are Few-Shot Learners

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.743285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.743285Z digest=sha256:2f5fa90b0faf342cb3c156024c61469d40bb76b3085739e4a7bfae0cc0c12e5e

Observation 17ffa01c-53ff-4765-a255-ff82cdbb77d9 · outbound

This paper cites W., Sutton, C., Gehrmann, S., et al.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition W., Sutton, C., Gehrmann, S., et al

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.748242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.748242Z digest=sha256:1c5074a124c0b332319b4040c85484fb1acca99f76018911eae33b244551eef6

Observation 15f33aca-0919-4008-b625-171b959fd9bc · outbound

This paper cites A survey on multimodal large language models for autonomous driving.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition A survey on multimodal large language models for autonomous driving

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:39:52.172801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:51.753268Z digest=sha256:4836f5ad0f5f04afeb26349a3effdc9cd1f6bccf0da5c9154ab7f773e312b0c8

Observation 0efd4b44-4e6e-476f-8e4c-e6bd2da51f67 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.757884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.757884Z digest=sha256:e0ff21904933d2c9c4067e73f985a107a062423d8d81b630427f2349e8b88c18

Observation af6862fd-aa1b-4727-8276-f7389fac1227 · outbound

This paper cites KronA: Parameter Efficient Tuning with Kronecker Adapter.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition KronA: Parameter Efficient Tuning with Kronecker Adapter

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.762839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.762839Z digest=sha256:a9e64671f447f9a4e42973ee2c07605ec75db0ed9908e0d2832a38b64e638426

Observation 948c434a-17d7-407e-a270-e056cd045651 · outbound

This paper cites CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.767508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.767508Z digest=sha256:a87139741498bb710ade2df751febdf5a34e49d2082f42791aab1008c7639a83

Observation 98f6c3d1-6785-4b9d-bacc-38901af6be14 · outbound

This paper cites SARA: Singular-Value Based Adaptive Low-Rank Adaption.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition SARA: Singular-Value Based Adaptive Low-Rank Adaption

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.771849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.771849Z digest=sha256:1a27d6e0a3c20307e08732a15e3031ebabd7a2cda7f44e8953bd04fdfbbeb0ee

Observation 24f59aa0-2fba-4ca1-b4c8-d4e62982a13c · outbound

This paper cites Parameter-efficient transfer learning for nlp.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Parameter-efficient transfer learning for nlp

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.775790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.775790Z digest=sha256:73658da9d251978ecc49ce7532129a638c37afa1681ac1a4eec3468036ac336a

Observation e8ced63e-4afd-49aa-80c4-96c66cbc734a · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.779461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.779461Z digest=sha256:c633dd26bb53368f9ea40d7985c79cd94849d24d9d42dc70d04adeac79ca20dc

Observation fa9899ab-0241-40fe-abe2-a262afc0cf06 · outbound

This paper cites Chat-univi: Unified visual representation empowers large language models with image and video understanding.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Chat-univi: Unified visual representation empowers large language models with image and video understanding

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:39:52.147913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:51.783335Z digest=sha256:435f8517895868ef856eeaac057b10d7f7cf16801f484cd6b435f92decfb5eeb

Observation 87137cec-b952-4817-b5f1-e6891426f760 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.786987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.786987Z digest=sha256:f9f96b0259ebef99022534699ce5ec09b0aa5db1193cde01b422a8f150df78ad

Observation d04205c0-9103-42f4-a4e9-dade794af9d6 · outbound

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

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition VeRA: Vector-based Random Matrix Adaptation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.791002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.791002Z digest=sha256:19a259eaa991336d01a35026bd22de900d409fe8e6dc8fb4f854ad1c59da73a6

Observation d8089af2-02fe-46cc-b9ca-96520546494b · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.794797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.794797Z digest=sha256:d4afd4b1bef8625226045fec34c54d7d7cac165f677d1e4f8fb495fa34adf661

Observation 29a9169a-d99c-45c6-94d4-2880cb9a2ac7 · outbound

This paper cites A medical multimodal large language model for future pandemics.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition A medical multimodal large language model for future pandemics

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:39:52.135902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:51.803111Z digest=sha256:0060aca231a2bf04b9c84e0040f9519083320ae30672358d63ead2d6f8d5f0ac

Observation 6c83eef5-0549-4080-b407-73685e1ea6c1 · outbound

This paper cites F., Cheng, K.-T., and Chen, M.-H.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition F., Cheng, K.-T., and Chen, M.-H

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:39:52.123292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:51.806928Z digest=sha256:b191c1c4ba31672df271dd672b185926972be4c542173a9a7f985a0de0c3422f

Observation 9815236b-2b04-4d46-b1fd-651107777ce8 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.811209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.811209Z digest=sha256:f3e9a1caea3768178580570cd242f90dcec943fdae9910a35d513b619a0acbfa

Observation e1e03a17-ad62-4fb5-a004-4df2e99f8d48 · outbound

This paper cites an unresolved cited work.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.815518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.815518Z digest=sha256:08fd1cfb42977215aec99d28400fb2f152069c26b1dbb6a52b4d968038758c8a

Observation c1d67746-1524-4ffe-bd66-1f410c358fd9 · outbound

This paper cites AdapterHub: A Framework for Adapting Transformers.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition AdapterHub: A Framework for Adapting Transformers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.819779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.819779Z digest=sha256:0511fb97a168ed9dbd31faca0699d085a36ee5279e7ec68279ee1bacad564cb2

Observation 68dab49c-a274-46cb-bbc4-6f15746eb0b8 · outbound

This paper cites BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.823886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.823886Z digest=sha256:28c519279603c64705006b9ad41b2e25517a36889fe2269eae58ae2bf0c855e3

Observation ddefe11a-b2f7-41ba-a254-026a9b745b2c · outbound

This paper cites and Kingma, D.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition and Kingma, D

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.827969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.827969Z digest=sha256:18d7a710ce6f8f4e3f50876e8a37cf2c454e137aaaa477d346994bbc30aea3ff

Observation b3a72949-0fee-4ca2-9860-cfdfe9097450 · outbound

This paper cites an unresolved cited work.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:39:52.096945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T17:39:51.831529Z digest=sha256:506838f82915bcc858d56559a8a417a1319e4cb4a497e05e9c5422662a046e20

Observation ddaadb60-f956-46cf-9210-79bf81e13099 · outbound

This paper cites J., Ting, D.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition J., Ting, D

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.835323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.835323Z digest=sha256:fa7a40643b56663222256e79370e4ac6a449cbbac838eb3a013b49151709ca3b

Observation f8251e2c-db75-47fe-80b1-542760cacf03 · outbound

This paper cites SP o T : Better frozen model adaptation through soft prompt transfer.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition SP o T : Better frozen model adaptation through soft prompt transfer

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.839209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.839209Z digest=sha256:dab4d3cfead759371ddde6f464b118e85f18414adb0d074c836a1cc94eb37c95

Observation fdd3c52a-9e9c-47d0-9966-a4ac7a107447 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.844951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.844951Z digest=sha256:d83148665e580d81530645439180befa44be4e56ea52548835340520ac1bb5ae

Observation 6b755ba5-c1a1-4822-8360-ac6ebbabebf2 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Adaptive budget allocation for parameter-efficient fine-tuning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.849158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.849158Z digest=sha256:9b5f1db1b030707f31c83d94eb68d36fafa80ced1883b431c514c34b95da9e12

Observation 7237e5f3-c34e-4a2f-b7b2-ffafeae8a2a6 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition OPT: Open Pre-trained Transformer Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.852814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.852814Z digest=sha256:0821c338546d05e8b3da6f1ece4dea86e3cbde6037ce7810d2ca065d7758a440

Observation f409d8d9-1a76-42ff-ab78-aedec40cc9a6 · outbound

This paper cites @esa (Ref.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition @esa (Ref

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.856278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.856278Z digest=sha256:a775bd9773296be9626748f0eca98b6fd08e6c41f0d06f5e2a3ab7c12ebdc90b

Observation b7fcf25c-3b85-4ba6-8e2e-50aa2540d08d · outbound

This paper cites an unresolved cited work.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.860250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.860250Z digest=sha256:3248df8885fe4e79aea7ac0ac3011280b7f858b2617a644b5efa9f01ea1f014f

Observation 7ddb5dc0-8f77-4506-a2c7-ec47c86f7bda · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T17:39:51.864033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:39:51.864033Z digest=sha256:a34f050f935374bdd05a8e7297b9ab7e4b4a98d2e18fa1a3d2cb95b939381529

Pith citing papers

Observation 21b291a7-59a5-4f8b-8bc7-13a0211d6ec5 · inbound

Taming LLMs by Scaling Learning Rates with Gradient Grouping cites this paper.

Taming LLMs by Scaling Learning Rates with Gradient Grouping EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:57:29.517503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:57:29.170521Z digest=sha256:b04b76d48426deafd2eed0e8cc7562a5de9c36c6676a04188cc2432ea246bdda