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Paper Citation Record · LEDGER

Towards a Unified View of Parameter-Efficient Transfer Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 55 inbound Pith citation observations for arXiv:2110.04366.

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

pith.paper-citation-record.v1
2110.04366 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 55 of 55 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 55 of 55 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:39:57.777925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:57.198158Z

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Outbound references

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Pith citing papers

Observation 6f8427ff-f2cc-4782-8023-fc44bb06331a · inbound

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models cites this paper.

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 41

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arxiv_id, observed 2026-05-15T18:15:55.749520Z

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

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Observation 8ccd8092-1ad9-4eb3-a1e3-cd32645217c2 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 38

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arxiv_id, observed 2026-05-19T20:28:39.332299Z

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

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Observation 7cd7cd48-b64f-4a6e-a738-ca57b07e6b9f · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 32

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arxiv_id, observed 2026-05-13T11:32:37.036056Z

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

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Observation 05575135-b6b6-4e13-8305-b5332079fafa · inbound

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models cites this paper.

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 8

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arxiv_id, observed 2026-05-17T02:18:02.285028Z

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.

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Observation a7721538-11c9-406b-af25-5b10904daabe · inbound

LLaVA-Video: Video Instruction Tuning With Synthetic Data cites this paper.

LLaVA-Video: Video Instruction Tuning With Synthetic Data Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 77

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arxiv_id, observed 2026-05-10T23:20:32.551150Z

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Observation 1ffe2887-3474-41ee-85b3-3ab7bc218902 · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 49

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arxiv_id, observed 2026-05-23T05:52:37.405172Z

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

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Observation 07d68aae-cae1-4fc3-b2e1-7bd730a9406b · inbound

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery cites this paper.

MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 40

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Observation 82664719-81a5-4b27-b7f9-20b7b9769820 · inbound

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

Sparse Gradient Compression for Fine-Tuning Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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Observation 480f3936-6c5f-47f4-b476-27db636be5a3 · inbound

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation cites this paper.

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 29

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Observation 9552025f-561f-4ad3-bfa0-0cff81cb0210 · inbound

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

SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 12

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Observation 1c15031e-35fe-429c-bb89-170461db5388 · inbound

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations cites this paper.

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 17

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Observation 2bf46535-cc36-49d7-abf5-1af770924f88 · inbound

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection cites this paper.

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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Observation 0f3ce6db-8dac-4a4f-b75e-d6e9a9e4ead6 · inbound

Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification cites this paper.

Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 11

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arxiv_id, observed 2026-05-22T18:11:54.481975Z

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

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Observation 2ea82fa2-2bc5-4109-83d7-90aa6cb0a636 · inbound

HOFT: Householder Orthogonal Fine-tuning cites this paper.

HOFT: Householder Orthogonal Fine-tuning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 17

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Observation 349fad85-5659-4f1a-85ae-adbb24d39c82 · inbound

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting cites this paper.

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 17

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Observation 1910a40c-2b2d-4a7b-b111-7de8a666a1e3 · inbound

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating cites this paper.

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 15

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Observation ab92520c-962e-4c29-bbe8-9f9fd5c55119 · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 16

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Observation 60f2895d-e6e4-403e-aac4-09edf17a3ef5 · inbound

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

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 21

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Observation 1f589c69-b7f8-4efc-9ca3-48c8b3ef05af · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 19

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Observation f5b9917a-d205-4540-9e0d-194dbd11f95f · inbound

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods cites this paper.

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 26

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Observation bca62f34-9983-4b60-8047-5cac9c8e506c · inbound

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection cites this paper.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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Observation 40e3f879-a194-470e-a1e5-76fa5228ddfb · inbound

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 15

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Observation 1ff8c840-e0e0-4426-a12c-dd372f201e70 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 15

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Observation fdf6c6db-7c5b-48b9-a443-307acc0c4f4e · inbound

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs cites this paper.

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 2023

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Observation 582f3bc9-43a9-4b30-80ad-3c3bb71c53fa · inbound

Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models cites this paper.

Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 37

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Observation 198e7b69-e019-4e8f-8490-854de160bbb5 · inbound

Slimming Down LLMs Without Losing Their Minds cites this paper.

Slimming Down LLMs Without Losing Their Minds Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 8

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Observation 9cd9a7cb-07f0-49eb-bc91-7b730ad0733e · inbound

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

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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Observation 2c78e83f-408e-49c3-965f-c1d1ff82a285 · inbound

Learning Text Styles: A Study on Transfer, Attribution, and Verification cites this paper.

Learning Text Styles: A Study on Transfer, Attribution, and Verification Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 46

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Observation b59ea818-15c0-4114-aec3-d93adb587546 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 57

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arxiv_id, observed 2026-05-21T23:44:26.854220Z

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

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Observation 5dd8bd8b-4b8f-43cf-a6a6-74e2844410db · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 57

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Observation 25212929-ddc7-4d83-aff6-9f3f1cf69c2b · inbound

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution cites this paper.

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 28

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Observation d1828c1c-5512-4172-a9c1-b6674de2ba2f · inbound

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts cites this paper.

MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 2020

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source=pdf_text observed=2026-08-04T11:23:49.382807Z digest=sha256:fd4eba9bd78910a2a3acdc7aabe38cee8f3d65c8c8878c174e9bd42116a97702

Observation 0b83e1fc-ca50-426b-8b12-624837f3f0e7 · inbound

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis cites this paper.

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 7

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arxiv_id, observed 2026-05-18T03:02:22.012331Z

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

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Observation cc011b32-1f9b-4534-98a4-de03bd850770 · inbound

PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning cites this paper.

PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 12

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source=pdf_text observed=2026-08-03T04:54:45.720578Z digest=sha256:d0ca4c92adf8d7ff9c2f4f516ca942801220693d0b472fea9515d83b14a00a7f

Observation 626017d0-72ea-4b48-bf41-229ccb0386a1 · inbound

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference cites this paper.

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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arxiv_id, observed 2026-05-15T18:56:30.574484Z

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

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Observation 778fc810-a2be-4c21-a5ea-f921f334d761 · inbound

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference cites this paper.

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-02T20:37:28.427948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:37:28.427948Z digest=sha256:798497fd0ab27c1a8e0681fd25e9f43503103aa21e210bbabb52e6b482918f01

Observation 573a5c76-58f1-4e07-9a12-8afd6c39dfa0 · inbound

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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unresolved
no resolver link, observed 2026-08-02T19:55:06.061113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:55:06.061113Z digest=sha256:d86b4f13bbc0fc35a4800ec46231ed8a5e55f4790bdbda59a98346881ab9b001

Observation ff8a596f-8db3-483c-a55a-5a6c89edaa95 · inbound

Visual prompting reimagined: The power of the Activation Prompts cites this paper.

Visual prompting reimagined: The power of the Activation Prompts Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:54.040629Z

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.

source=arxiv_source observed=2026-05-10T18:52:10.770345Z digest=sha256:f10a2ad2eb1e5aafc485b1f7ef394c5b2a3ab9e5cd59e71ccf640f8f1672dcd5

Observation d6255b49-e44d-490a-8017-23ab6de94976 · inbound

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge cites this paper.

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:59.492340Z

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.

source=pdf_text observed=2026-05-10T17:52:30.463227Z digest=sha256:558064dad4898f863021bea70a09d2b99b82875b85b765c0a6066039cc92c02d

Observation 96746b8e-8336-4f69-ba52-35121529d090 · inbound

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling cites this paper.

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:11:03.311084Z

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.

source=pdf_text observed=2026-05-10T15:07:57.407247Z digest=sha256:b99261168cc747e319e1f37e0741855d0426d3cac4d38463057892a9a2d75f8b

Observation 565d69e3-a64f-46bd-b29c-715de8ccb85d · inbound

SEATrack: Simple, Efficient, and Adaptive Multimodal Tracker cites this paper.

SEATrack: Simple, Efficient, and Adaptive Multimodal Tracker Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:26:01.238757Z

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.

source=pdf_text observed=2026-05-10T15:29:51.594073Z digest=sha256:e17db82ce6dc2ef2b349d340e81b41ec36ac0af8ca599122ba01f4c87f11be75

Observation 7f2fb68b-53d9-4132-9286-ba923f78aca2 · inbound

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

TLoRA: Task-aware Low Rank Adaptation of Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:48:48.121897Z

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.

source=arxiv_source observed=2026-05-10T05:07:10.885133Z digest=sha256:928571eaf84095537a13788801ed1a114f9b57211ce9f3b72e0bb1acd2731691

Observation e833147b-fb1f-4f9c-8d5f-d1b87c585d7a · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:05.923596Z

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.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:d4adff0baa0349811de7764e2acfa05b16ac74c7725f1d83eb8f4193402a23be

Observation ba68fb69-b8d6-471d-826f-38132c0f5876 · inbound

Deep Reprogramming Distillation for Medical Foundation Models cites this paper.

Deep Reprogramming Distillation for Medical Foundation Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:38.889217Z

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.

source=pdf_text observed=2026-05-08T18:30:36.882621Z digest=sha256:30682a9d8fa400f44fc304f65af3252ac9ded6c70e2b0437ee188e6e93df4e73

Observation 510df68e-ea48-4959-a1e4-b1d351957253 · inbound

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model cites this paper.

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:36:09.450994Z

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.

source=pdf_text observed=2026-05-09T15:52:06.698536Z digest=sha256:a2a15b45db7faf9994603907ae9b7b99f3433f005aef1f9a16888664d4108ed0

Observation bbac2f63-5df0-47e1-b7d0-3790344012db · inbound

Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation cites this paper.

Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:40:51.629904Z

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.

source=pdf_text observed=2026-05-11T01:40:24.429025Z digest=sha256:892579a1bc86daf9bc677aea25e81f3520447c261ae05c52dba38084928683fe

Observation 65c235a2-fcb9-493b-ad22-26d664d6d103 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:29:48.337773Z

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.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:af9b4eabf1a0614eec40930309033921c51b5bc69e4ee484802d6701717efcde

Observation e49452e1-76f1-467a-92d8-5a6006b5f592 · inbound

Neutral-Reference Prompting for Vision-Language Models cites this paper.

Neutral-Reference Prompting for Vision-Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:18:54.595709Z

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.

source=pdf_text observed=2026-05-20T19:15:54.152498Z digest=sha256:2461d093b03103e8564b7d9ae322c42c080a3c936da9dfafaf5047c5b3a0f8af

Observation d8ca35aa-4cdd-420b-b0d4-ff21b47e2dd9 · inbound

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs cites this paper.

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:18.656575Z

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.

source=arxiv_source observed=2026-06-28T15:07:03.439928Z digest=sha256:ec511abee9214782152a9412a54e7e55a5ac75190c130b06dbeb566cdd6fc681

Observation 35ec3b66-80e8-458b-a8ca-a31a65184b7d · inbound

From Efficiency to Leakage -- Privacy Backdoor in Federated Language Model Fine-Tuning cites this paper.

From Efficiency to Leakage -- Privacy Backdoor in Federated Language Model Fine-Tuning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:39:35.021742Z

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.

source=pdf_text observed=2026-06-26T16:51:07.028013Z digest=sha256:0fcb76527b3cf2d549baa6da580cd7f574885634e1ac3916abded97c71b25581

Observation 97cca450-4ca1-483d-908b-b99dc683e31d · inbound

Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement cites this paper.

Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:57.199634Z

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.

source=pdf_text observed=2026-06-26T01:06:54.997176Z digest=sha256:a6fcf5383c49f1658a9433fe6d75a19bc3e364f9feb27df67449a3fbe492f3a8

Observation 053c90e6-7558-470d-a565-ba5bd1e9130c · inbound

Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR cites this paper.

Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.176949Z

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.

source=arxiv_source observed=2026-07-01T06:45:14.672949Z digest=sha256:3e0b784eddad29e519ec1810efe473d8272ab7b592ba5a13720dec558b467f2b

Observation 2e99583f-6963-4a48-aea9-da720f810be0 · 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 Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T04:34:34.300109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T04:34:34.300109Z digest=sha256:b69a2c1abd23d27583284c816db5efdd782249d7c0166e18939b0fd88fbbe7bc

Observation 4c1c03d2-17b8-4ab4-a286-7a418dd79f5f · inbound

Capacity and Redundancy Trade-offs in Multi-Task Learning cites this paper.

Capacity and Redundancy Trade-offs in Multi-Task Learning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T20:43:47.807286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:43:47.807286Z digest=sha256:6dd47ee7c2d77e3a1bd68692822ba17c1e8a4ace1bc5036b80d379ff71a4a619

Observation 0eade630-ba7c-4f54-8f24-4c44c6db2a7d · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 165

Resolution
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no resolver link, observed 2026-08-01T07:28:35.113694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:35.113694Z digest=sha256:5656dd13a3674a988304c570ff0f4c44184bf68f4039a0f90bc7a59e3e870632