Paper Citation Record · LEDGER

RandLoRA: Full-rank parameter-efficient fine-tuning of large models

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 5 inbound Pith citation observations for arXiv:2502.00987.

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

pith.paper-citation-record.v1
2502.00987 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:05:22.619509Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:05:00.462706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.238182Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy29
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6ff0c57-a818-46b1-84a0-5e3da0b32241 · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Intrinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.258159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 564d14ce-5b4c-4847-9416-2652b17c7bac · outbound

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

RandLoRA: Full-rank parameter-efficient fine-tuning of large models LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.480219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b98d16-8757-417e-a64e-fb65c655a55b · outbound

This paper cites Random projection in dimensionality reduction: applications to image and text data.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Random projection in dimensionality reduction: applications to image and text data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.248427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f2ec47f-96b3-43ae-a8a8-592c3b9f400f · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Piqa: Reasoning about physical commonsense in natural language

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.234275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d90c4c79-8c87-40ae-abb6-bf8f7621cead · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Reproducible scaling laws for contrastive language-image learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.224938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e08daf0-7a3b-48b2-8239-f45a47d9f526 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.493400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e231fb6-19fe-4803-9e9c-f09e5a28f645 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.497550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5857b1b-cbc5-488e-98ea-d5b02bb9393f · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.500769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c700d5ac-cb9d-4f71-9c14-bc2bac8119af · outbound

This paper cites Lo RA : Low-Rank Adaptation of Large Language Models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Lo RA : Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.215475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ebf00cd-a208-44ae-b720-58e0499b173d · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.507305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0aaa559-143c-4f2c-b735-a382fc1ee484 · outbound

This paper cites Maple: Multi-modal prompt learning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Maple: Multi-modal prompt learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.206645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b3e1f6e-68aa-4c2b-b4fb-127479189546 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Self-regulating prompts: Foundational model adaptation without forgetting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.196853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cd173a0-db59-415f-b424-db2158701718 · outbound

This paper cites NOLA: Compressing LoRA using Linear Combination of Random Basis.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models NOLA: Compressing LoRA using Linear Combination of Random Basis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.187244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4d5d1d6-e799-4929-94eb-b1b9f3b85334 · outbound

This paper cites Vera: Vector-based random matrix adaptation.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Vera: Vector-based random matrix adaptation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.178219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3f6763f-bc33-4faf-a3e5-86834796c4a9 · outbound

This paper cites Similarity of neural network representations revisited.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Similarity of neural network representations revisited

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.168603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9f6f64b-b3a9-4df5-8cbe-51a811718083 · outbound

This paper cites Krizhevsky, I.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Krizhevsky, I

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.159360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de1421f7-4c4a-4ad8-8df2-cbc39294ac09 · outbound

This paper cites Measuring the instrinsic dimension of objective landscapes.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Measuring the instrinsic dimension of objective landscapes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.150811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4891c77-a044-4f03-a529-7e7236ddfa61 · outbound

This paper cites Very sparse random projections.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Very sparse random projections

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.141565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e53b143-1ef9-401b-ac40-67325cb4650c · outbound

This paper cites Extensions of lipschitz maps into a hilbert space.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Extensions of lipschitz maps into a hilbert space

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.132818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b48f03fd-956b-42b1-b622-d3e6c1f8b0d9 · outbound

This paper cites SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.123905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59c17187-7e81-40e2-92c5-5e35ce849d9f · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Dora: Weight-decomposed low-rank adaptation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.114616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7af1b770-819c-44a8-bb45-af26235e0c49 · outbound

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

RandLoRA: Full-rank parameter-efficient fine-tuning of large models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

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Source-reported events for the cited work

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Observation 803b71a3-43a3-4e52-b3ec-16dbaca462d5 · outbound

This paper cites Pissa: Principal singular values and singular vectors adaptation of large language models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Pissa: Principal singular values and singular vectors adaptation of large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.104930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c01ad9c-f8ae-4674-9c3f-77fec640517e · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 24

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Unavailable: canonical work link unavailable.

Observation 7927dd17-ad99-485c-b131-2b70145b07b7 · outbound

This paper cites Pranc: Pseudo random networks for compacting deep models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Pranc: Pseudo random networks for compacting deep models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.095064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7459b96e-d36b-4945-97f1-0420efde8960 · outbound

This paper cites The E2E dataset: New challenges for end-to-end generation.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models The E2E dataset: New challenges for end-to-end generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.084980Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7438bc69-f8b2-4ee1-ba18-24b14d012971 · outbound

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RandLoRA: Full-rank parameter-efficient fine-tuning of large models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:05:23.075723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9440ded0-10ed-4efc-808f-82801de28c42 · outbound

This paper cites Language models are unsupervised multitask learners.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Language models are unsupervised multitask learners

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.066403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c68669df-d35d-4285-991a-fc916143e8e6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Learning transferable visual models from natural language supervision

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.057433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c7a03ec-5949-4ef0-9777-d0b72ba81dfe · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Winogrande: An adversarial winograd schema challenge at scale

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.048061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 725e56e2-704a-459d-ab76-1adfcb59f5d0 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models SocialIQA: Commonsense Reasoning about Social Interactions

Reference 31

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Source-reported events for the cited work

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Observation 3919879a-b3a8-4ef9-a436-39f2fd6f3af1 · outbound

This paper cites HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.038650Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4513ac2b-03e8-4e48-93c4-6866016b69da · outbound

This paper cites an unresolved cited work.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:05:23.029772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87f6fa6d-37b9-4fb8-898b-3effcad85104 · outbound

This paper cites Low-Rank Few-Shot Adaptation of Vision-Language Models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Low-Rank Few-Shot Adaptation of Vision-Language Models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.020345Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1920d05-af0a-4705-88fa-35a026b8843b · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.583219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f32431c-7dc1-4dbe-ab21-54c15cb567df · outbound

This paper cites Knowledge Composition using Task Vectors with Learned Anisotropic Scaling.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.009477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b6766d1-d757-41bf-943f-00b7f635d2d5 · outbound

This paper cites Dept: Decoupled prompt tuning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Dept: Decoupled prompt tuning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:23.000184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f07b158-3a01-4e0d-b579-1ac7a66c4029 · outbound

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

RandLoRA: Full-rank parameter-efficient fine-tuning of large models AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:22.990258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fedb0fa4-2164-4baf-b5ad-4a5b26e4d878 · outbound

This paper cites AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.596077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cedcc9d3-f3b4-4cfd-8cca-ce2a74daebc8 · outbound

This paper cites Conditional prompt learning for vision-language models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Conditional prompt learning for vision-language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:22.980202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09afea43-ec91-4d0c-bcb5-5c683e46037b · outbound

This paper cites Learning to prompt for vision-language models.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Learning to prompt for vision-language models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:05:22.970160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e678fa9-e5d7-4580-a0cb-f877f0b197cf · outbound

This paper cites Scalable MatMul-free Language Modeling.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Scalable MatMul-free Language Modeling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.605380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb6a3bb-e2af-470c-be39-994f74c15517 · outbound

This paper cites write newline.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.608571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f008da8-9f80-408a-b55c-0a451d054b87 · outbound

This paper cites @esa (Ref.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models @esa (Ref

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.612580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fbf239-2f82-4a3f-8ff1-d114a2c5fa0f · outbound

This paper cites an unresolved cited work.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models Unresolved cited work

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44c662a-734b-4398-af0d-c97bc7dc2d7d · outbound

This paper cites f FpE 5 ¡p;ơ̩P ^ 4 t H.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models f FpE 5 ¡p;ơ̩P ^ 4 t H

Reference 46

Resolution: malformed identifier; no resolver link, observed 2026-08-09T17:05:22.619509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d71639ba-bbae-46ca-9a54-a60e0ad5a28a · inbound

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning cites this paper.

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:00.462706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c559c1b9-11ba-4567-97e2-ce7d734968c5 · inbound

BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning cites this paper.

BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:26.040161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c74edfa-3e47-4152-ab80-1fe430e76eb9 · inbound

Training Transformers in Cosine Coefficient Space cites this paper.

Training Transformers in Cosine Coefficient Space RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:10:50.618392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e34e35a1-07a0-4dea-b2c9-4fa591c3143d · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:43:14.114918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7c27703-dcca-43af-8046-6e9b295b6f9d · inbound

CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation cites this paper.

CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.239675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.