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Paper Citation Record · LEDGER

VeRA: Vector-based Random Matrix Adaptation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2310.11454.

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

pith.paper-citation-record.v1
2310.11454 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

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

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:37:16.557697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.354336Z

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Outbound references

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Pith citing papers

Observation 8eed759a-df84-4dd6-8701-ef080335bd53 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey VeRA: Vector-based Random Matrix Adaptation

Reference 80

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arxiv_id, observed 2026-05-13T11:32:36.974976Z

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

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:15b2b8ca743a3ab9910710a85d6ce963d3fbbd6bb60e56b5a023abd5e8f2095e

Observation 10e9c69d-8741-4e4c-b20f-9b8566241417 · inbound

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer cites this paper.

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer VeRA: Vector-based Random Matrix Adaptation

Reference 39

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source=pdf_text observed=2026-08-12T18:56:47.962246Z digest=sha256:54284084af0e2205c08fd4ea54d2db419d9d9d5c949622dcac39964737bb5fdb

Observation 9e05010d-91a9-408a-a848-8adde94e7f2d · inbound

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods cites this paper.

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods VeRA: Vector-based Random Matrix Adaptation

Reference 27

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source=arxiv_source observed=2026-08-12T18:37:26.538433Z digest=sha256:df3731f52c577e1f8ef5dd50873fbbb81baa1433157701a389c2ed93f869c379

Observation 149d4a6b-e25d-436c-8ec1-77b951fe917b · inbound

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation cites this paper.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation VeRA: Vector-based Random Matrix Adaptation

Reference 24

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source=pdf_text observed=2026-08-12T15:54:43.901910Z digest=sha256:5c644a74253bba454786f5360196df00a14222adda119649fa48dacad78acb0a

Observation 4839fd10-cc83-4ff4-ad22-cf85210144d9 · inbound

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation cites this paper.

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation VeRA: Vector-based Random Matrix Adaptation

Reference 43

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source=pdf_text observed=2026-08-12T11:51:33.331591Z digest=sha256:d1a9206011a09b89059eab7fbb40138fa38afabf0914552d046b15a236e38d86

Observation c9f9f92a-5067-4445-9063-aea4dd969a1a · inbound

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation cites this paper.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 24

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source=pdf_text observed=2026-08-12T10:24:01.230065Z digest=sha256:ed92e3bf235f2b01993190abea3dcbf945e6349d9bb7ad903ba07757c3363225

Observation 60051a39-265e-450d-a403-6659244ddcdd · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies VeRA: Vector-based Random Matrix Adaptation

Reference 32

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arxiv_id, observed 2026-05-23T08:22:44.267450Z

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source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:6f4e9fda998c881caf357f7cce24bb4729cddc8c53108941d19571de35a96547

Observation 38030aff-13cc-4916-a5c3-35708e522d5e · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges VeRA: Vector-based Random Matrix Adaptation

Reference 134

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source=pdf_text observed=2026-08-11T22:41:18.238686Z digest=sha256:5315f086c5f14645b1594b2658c5d416884ba93b7f2babffd74feb8b33e1a293

Observation cace8c80-f8da-425f-8ff4-37a4668b4d1c · inbound

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models cites this paper.

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models VeRA: Vector-based Random Matrix Adaptation

Reference 27

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source=arxiv_source observed=2026-08-11T20:08:26.906378Z digest=sha256:c5c831807a09d193b5f33a8be771d62453cf2234c98e6fa23162c8a2723d228f

Observation c54b1ee3-738c-4924-8ee5-168f49988073 · inbound

FineGates: LLMs Finetuning with Compression using Stochastic Gates cites this paper.

FineGates: LLMs Finetuning with Compression using Stochastic Gates VeRA: Vector-based Random Matrix Adaptation

Reference 2017

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source=pdf_text observed=2026-08-11T13:37:39.015019Z digest=sha256:5ea65bad7f4d954d53a47e32430bfd5161573aacb9d0dbf507767fd9baa7c266

Observation 294a3301-de23-436b-a3f1-4d15514fa9c4 · inbound

Transformer-Squared: Self-adaptive LLMs cites this paper.

Transformer-Squared: Self-adaptive LLMs VeRA: Vector-based Random Matrix Adaptation

Reference 24

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source=arxiv_source observed=2026-08-10T21:28:02.699116Z digest=sha256:4041b00a9041a6f57812d6bfee8ad876065cc7d9bd1c2b8fd79cc91feffd4048

Observation a109be12-922e-48a4-8a4d-f6529131ab58 · inbound

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection cites this paper.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection VeRA: Vector-based Random Matrix Adaptation

Reference 3

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source=pdf_text observed=2026-08-10T20:33:12.886714Z digest=sha256:43289602d5b7e211eefe7bbb289a8190f351e25b444f44dd0f858734fdac7c43

Observation 4456a1bc-a255-448f-98d5-c4f5bde3ecd3 · inbound

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning cites this paper.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning VeRA: Vector-based Random Matrix Adaptation

Reference 20

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source=pdf_text observed=2026-08-10T19:29:51.349294Z digest=sha256:b2bc847c1f2e619178a32806ddeb2d0e8ab3af5468450dd8acb8ecf4072a6c57

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

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition cites this paper.

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

Reference 15

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source=arxiv_source observed=2026-08-10T17:39:51.791002Z digest=sha256:1126cbde8279ad4d2b646659fec676ab36f7ab725f8f34156f8c6a999b08bf83

Observation 524ae0c7-da29-41d0-95f5-c5f62fc3ddec · inbound

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation cites this paper.

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 29

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source=pdf_text observed=2026-08-10T14:25:39.169636Z digest=sha256:e0ed1de7455f79924d38be8de386c5c23548211464b2e593b233cbb0dfe8b028

Observation e8f65eb4-cc9c-485e-9a4d-bbc8718e6ad4 · inbound

Sparse Gradient Compression for Fine-Tuning Large Language Models cites this paper.

Sparse Gradient Compression for Fine-Tuning Large Language Models VeRA: Vector-based Random Matrix Adaptation

Reference 20

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source=arxiv_source observed=2026-08-09T19:36:17.804534Z digest=sha256:1cb0083fa27b4e49b890988991f4d3573175ff7e47547b78b912f8fda4e19d2e

Observation 31fec49a-071c-44ac-af54-0f92bd0a0402 · inbound

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation cites this paper.

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation VeRA: Vector-based Random Matrix Adaptation

Reference 21

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source=arxiv_source observed=2026-08-09T10:14:21.474364Z digest=sha256:d3a56977615e1c7d08a2680bf2224b17d68271184da5589a285b41737dafecb2

Observation 95c293a8-c330-4f0b-8c3f-1d75a8e1fab4 · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model VeRA: Vector-based Random Matrix Adaptation

Reference 17

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source=arxiv_source observed=2026-08-08T20:54:10.564810Z digest=sha256:50f8351765ef12cf9fd1e511f593086e60dd1d99a463e8d2d72fe7cf78dc6294

Observation 5488f6db-75cf-4be3-bf49-4d593be20500 · inbound

SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation cites this paper.

SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation VeRA: Vector-based Random Matrix Adaptation

Reference 21

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source=arxiv_source observed=2026-08-08T19:01:09.480556Z digest=sha256:e48957a08aaa23ee629d070908bf56005190c0f36fb9da444e4058f5a1c5a6c0

Observation 5e036f4b-1cc4-42b9-a915-efbefba94605 · inbound

HRP: High-Rank Preheating for Superior LoRA Initialization cites this paper.

HRP: High-Rank Preheating for Superior LoRA Initialization VeRA: Vector-based Random Matrix Adaptation

Reference 23

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source=pdf_text observed=2026-08-08T11:51:10.127136Z digest=sha256:f916f663d7423961519674389e890d9495cc321c6c88e79d2f8e74903ba89c1f

Observation b31530e7-b8a5-4313-8aea-e2087a8e3cb9 · inbound

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation cites this paper.

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 54

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source=pdf_text observed=2026-08-16T12:37:16.557697Z digest=sha256:433174e828d366dd61a5bfb13c1db1f60c2cd329d086e91f4382b80ec53cdff3

Observation 7d022ed1-9582-4567-8125-98b97c149fdc · inbound

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning cites this paper.

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning VeRA: Vector-based Random Matrix Adaptation

Reference 55

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source=pdf_text observed=2026-08-16T05:16:30.558828Z digest=sha256:d4cea8dfe5c0e0a16e99a9328f2904c9308dd9c6b8c5df66d7ae5452c69873d9

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

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models cites this paper.

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

Reference 2015

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source=pdf_text observed=2026-08-07T14:04:37.849989Z digest=sha256:51e4a35ef901888b67a0ebec6d00abda683fa92c063bd3e7604fb3d957067728

Observation 6c2f0713-e5c6-41f6-bb79-48227136aba3 · inbound

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation cites this paper.

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 28

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source=arxiv_source observed=2026-08-07T12:56:50.611625Z digest=sha256:5a08e115ae8a668afac62982d6cbe7a447367fb3d3b51816ca2e4ba40d582ab4

Observation 476400f6-a7f8-4adc-94f1-13ad6cadf667 · inbound

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts cites this paper.

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts VeRA: Vector-based Random Matrix Adaptation

Reference 21

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source=pdf_text observed=2026-08-07T12:09:13.327298Z digest=sha256:818bce5cbe5ff4ae737da8d6e8720e4b8902e372ac0e28ad35225021b4034573

Observation dce3188b-ad25-49f9-84bf-f3f1ba7b2e8f · inbound

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis cites this paper.

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis VeRA: Vector-based Random Matrix Adaptation

Reference 24

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source=pdf_text observed=2026-08-07T05:59:47.530204Z digest=sha256:d5ede2a4a8112a3825217e785266df1c02188f55e3629c5cc6b0552e599b9c29

Observation 1e28afe2-246e-41cc-8086-27e8c64295d6 · inbound

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps cites this paper.

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps VeRA: Vector-based Random Matrix Adaptation

Reference 48

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source=arxiv_source observed=2026-08-15T19:24:06.357400Z digest=sha256:e4386eb12f2ea5ed385c462081bdddda986b0846f35d5b9548cdee76affbef58

Observation 60eda5be-c04f-4910-a234-c24fe22a6fcd · inbound

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models cites this paper.

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models VeRA: Vector-based Random Matrix Adaptation

Reference 9

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source=pdf_text observed=2026-08-06T22:50:12.267784Z digest=sha256:2d20d04ae20cb6b29a902b12acb6f08d086fa87193d30713d13cf5a70adcbd51

Observation 5c145465-698e-4d14-940f-d61f01f4069e · inbound

Low-rank Momentum Factorization for Memory Efficient Training cites this paper.

Low-rank Momentum Factorization for Memory Efficient Training VeRA: Vector-based Random Matrix Adaptation

Reference 29

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source=arxiv_source observed=2026-08-06T18:35:40.160096Z digest=sha256:588364d5cbffddda8b94bdbf902b80de71c0efd3c60b59dd0c8f77b9f677fb26

Observation 98cf35f7-e1d3-4a04-b39b-abc6fb6ab7d7 · inbound

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy cites this paper.

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy VeRA: Vector-based Random Matrix Adaptation

Reference 14

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source=pdf_text observed=2026-08-06T16:35:26.067528Z digest=sha256:eb881fb8aba296aad60522f585f4a5fd499ad1820fb088c51a43d559c15cdd70

Observation 0703212b-4aa1-4d22-8783-926ab7db9cd9 · inbound

LOST: Low-rank and Sparse Pre-training for Large Language Models cites this paper.

LOST: Low-rank and Sparse Pre-training for Large Language Models VeRA: Vector-based Random Matrix Adaptation

Reference 7

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source=pdf_text observed=2026-08-15T17:44:19.953651Z digest=sha256:57e38c1619189e3660c5d5b15fd0b4831fd2a268374102b3696875acb264b3c6

Observation a3e8dee5-fe8a-438e-9055-3f3d7d882b2e · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 20

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source=arxiv_source observed=2026-08-05T17:33:14.836891Z digest=sha256:4c2eafe831c4783adfc067b8ed62054848682d27015f5ef6e537174da0167ea0

Observation beecd142-fd98-4678-8e82-e1c0c5216601 · inbound

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning cites this paper.

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning VeRA: Vector-based Random Matrix Adaptation

Reference 14

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source=arxiv_source observed=2026-08-05T05:51:51.960154Z digest=sha256:c30091c9cd4726b7b6fc5220412508c1e3e1605ea3044f3899cdf45e8dfb9579

Observation cfb7fb7d-9afb-4e78-8939-106d1339b324 · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation VeRA: Vector-based Random Matrix Adaptation

Reference 20

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arxiv_id, observed 2026-05-18T13:46:25.884517Z

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

source=pdf_text observed=2026-05-18T13:44:09.263459Z digest=sha256:188a792f8e484db23959e240c798aa5996d044e9bc2e1168c5038ef7c39c5d85

Observation ac96e8fc-af05-4004-88db-1df8aeec9413 · inbound

NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion cites this paper.

NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion VeRA: Vector-based Random Matrix Adaptation

Reference 20

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arxiv_id, observed 2026-05-25T08:00:29.703910Z

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

source=pdf_text observed=2026-05-25T07:58:25.211030Z digest=sha256:89b2a5a25eb2dd9e806eb739743fbbd26a7d223b902fad7c85366f7b93f9dceb

Observation dc648787-1d8d-4a1d-8907-7164fbefb254 · inbound

TLoRA: Task-aware Low Rank Adaptation of Large Language Models cites this paper.

TLoRA: Task-aware Low Rank Adaptation of Large Language Models VeRA: Vector-based Random Matrix Adaptation

Reference 36

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arxiv_id, observed 2026-05-10T09:48:48.178353Z

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

source=arxiv_source observed=2026-05-10T05:07:10.885133Z digest=sha256:4b172b7e2b2726dd31bbe864c1a583b3a4f5058b06c95f27eeaa8da97acc92a3

Observation 2385b931-fbdf-4061-ab4d-1a7c676e6a92 · inbound

BoostLoRA: Growing Effective Rank by Boosting Adapters cites this paper.

BoostLoRA: Growing Effective Rank by Boosting Adapters VeRA: Vector-based Random Matrix Adaptation

Reference 17

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verified exact
arxiv_id, observed 2026-05-12T10:06:27.646236Z

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=2026-05-07T08:00:21.048408Z digest=sha256:74fc12ad2cfb05e031ae1ab19041ca655f8fdadebd802fbc7617de7d36635de4

Observation f95f1e9a-04b8-4d12-b558-8179cb94a016 · inbound

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning cites this paper.

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning VeRA: Vector-based Random Matrix Adaptation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:03:59.384045Z

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=2026-05-21T05:59:59.183023Z digest=sha256:89e6c13f1037f9fcf8beb96987b539d34380a2b410aca4893bb39b2d8f7b760c

Observation 2850b75f-b745-4ae5-92bf-95a7525f6775 · 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 VeRA: Vector-based Random Matrix Adaptation

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:43:14.093716Z

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=2026-06-29T07:36:24.624420Z digest=sha256:c9b6c82387b983854d340b518f2023b7fc62f8fa6f8187bcd523c97ad3fbc92e

Observation 2462ff98-0e5e-40a6-a224-500de0c51976 · inbound

ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection cites this paper.

ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection VeRA: Vector-based Random Matrix Adaptation

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:49:19.535431Z

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=arxiv_source observed=2026-06-26T20:53:11.180717Z digest=sha256:283cc92eebed4d981a50ff37750e2197aab3dd2d0a17dbe9b2429163575984fc

Observation bac998b4-f2f2-48da-b335-02e600e32c0d · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems VeRA: Vector-based Random Matrix Adaptation

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:46.356090Z

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=2026-06-26T08:09:57.542558Z digest=sha256:7c2f6eea421e849d0f9a39637378c4ac394aa11126c0c45a10c34af6ccae94b8

Observation 9dc53115-d6e5-4e7c-952d-ce84ed6a4b80 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems VeRA: Vector-based Random Matrix Adaptation

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-02T10:27:17.829474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:17.829474Z digest=sha256:d77e1ffca1bc20b08f2697d70906c8c5c96a3b9dcc025da010b463d1d3b1242b

Observation 9fe949bd-f759-4a94-9da7-8fb7d01bb9c7 · inbound

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning VeRA: Vector-based Random Matrix Adaptation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:28.521024Z

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=2026-06-30T07:55:13.502149Z digest=sha256:9400075642997dc96bad13c3b6d4d102e164f95eda1e471434421361546cc87e

Observation ae898037-c5db-4d91-af71-efdb0a8a5d8d · inbound

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models cites this paper.

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models VeRA: Vector-based Random Matrix Adaptation

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T06:55:28.736239Z

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=arxiv_source observed=2026-07-01T06:55:06.270685Z digest=sha256:97c86e7a42dc0dc0a7931e5d75de2616570a6e091ffb960437d1c21cb8572dbd

Observation e96271b0-f5fe-4427-9bf8-91e2e4a913a5 · inbound

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation cites this paper.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation VeRA: Vector-based Random Matrix Adaptation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T16:23:01.601553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:23:01.601553Z digest=sha256:4c3968eff2b5a95010409a10f3c63047c7447a4b7eaa6f160f4b72bbf4ee3d3e

Observation fc2e790e-8e3e-4314-9227-d7cb8688571a · inbound

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation cites this paper.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation VeRA: Vector-based Random Matrix Adaptation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T04:34:34.389121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T04:34:34.389121Z digest=sha256:4de1e0626e292eb424c06327d4089e5491b0b6589a4ab0e63e19d6f30190a921

Observation daf8f12a-41a1-4b2d-ab02-109315fd7d7d · inbound

Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning cites this paper.

Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning VeRA: Vector-based Random Matrix Adaptation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T15:58:13.117726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:58:13.117726Z digest=sha256:9ba3756123011e39c76ffe1cb253e72525742e46770a98c972e5a96bdb4b8335

Observation 58f4f13a-d7d5-4f66-a428-74a33066532f · inbound

Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning cites this paper.

Retraction-Free Optimization over the Stiefel Manifold for the LoRA Fine-Tuning VeRA: Vector-based Random Matrix Adaptation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T03:00:02.336329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:00:02.336329Z digest=sha256:b791fcc0272fee97b006fe0fd3a754ac8a0ce8e651bfd1242eb9c407b988d0b2

Observation eb8b1b37-808e-4d3f-ba8d-67e00770952b · inbound

TerraNova: A Foundation Model for the Anthropocene cites this paper.

TerraNova: A Foundation Model for the Anthropocene VeRA: Vector-based Random Matrix Adaptation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T05:23:11.191342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:23:11.191342Z digest=sha256:d8cece842ecb75394be8f8bc292d05e8074911a7b1ceaab7a0d5ec4222db46f5