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Paper Citation Record · LEDGER

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 100 inbound Pith citation observations for arXiv:2303.10512.

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

pith.paper-citation-record.v1
2303.10512 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T21:11:32.186676Z

measured 129 of 129 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 100 of 135 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:19.743618Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact7
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

34
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 289bdcd8-c68c-4f03-8a54-7ed6c4ec8b42 · outbound

This paper cites Layer Normalization.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Layer Normalization

Reference 1

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verified exact
local_arxiv, observed 2026-05-12T21:11:32.284373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:bab595a3a9c9ab7fdab01a1519e486ceee50863cc42beb2b0b7450f8a6404953

Observation 2da0babc-ca48-404f-9d7f-0d4c4c257cc9 · outbound

This paper cites an unresolved cited work.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-05-12T21:11:32.350881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:4becccd4b528a628a9f48f65a40736b70e813a683471bc0cd12a7b180886c876

Observation 33a2a95b-0074-46ef-beff-68d5f26c127f · outbound

This paper cites A singular value thresholding algorithm for matrix completion.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning A singular value thresholding algorithm for matrix completion

Reference 3

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raw_fallback, observed 2026-05-12T21:11:32.346681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:db76199b8d46710d6793f9a1e2fe1b914df449ead123f4b1f706afbce898bf96

Observation 1ce26cc3-aa7b-494c-91e6-11bce21b59b3 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 4

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raw_fallback, observed 2026-05-12T21:11:32.328557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:0c8e318d887df95a899ebf361203808b63b3f262c427c107684334cb35c297ba

Observation 5f214089-476b-42e0-8b32-e1d27c4639b1 · outbound

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

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution
metadata mismatch
doi, observed 2026-05-12T21:11:32.266267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:dd92e38bf0f1b8300a1ca5fd78f5d0b6f66e9214efff4b4aba2e06e1f1714950

Observation d0db13a4-0347-4fd6-81af-39cc98912410 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 6

Resolution
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arxiv_id, observed 2026-05-15T12:49:19.526946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:ddf4a6444178d255ab47fa8e0d69b887edda8cce9bc4d2bcaa48e70772439cce

Observation 796114fc-4919-45ef-a89a-4b79337b24a3 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning The power of scale for parameter-efficient prompt tuning

Reference 7

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raw_fallback, observed 2026-05-12T21:11:32.376076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:9981e14f10e99fac55f97f32340905ba04a25acef9e22af32b910661a494d5f4

Observation 2b62f3fd-96be-440f-af38-64a719f70779 · outbound

This paper cites URL https://aclanthology.org/2021.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning URL https://aclanthology.org/2021

Reference 8

Resolution
metadata mismatch
doi, observed 2026-05-12T21:11:32.233548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:148b37fe701b8b26454e3c5fc5aa020c9ebc5a4bf430d73ee2c90113f548185e

Observation 162a1bf0-86e6-4dce-af1c-f63a5d240405 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Prefix-tuning: Optimizing continuous prompts for generation

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-12T21:11:32.371678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:54506701976e61c0093f1c25dd7e2a8a1716b8a91104c167b4d86645f86bede2

Observation 26acaf72-5d3e-4be4-9092-993b6ad93ffb · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 10

Resolution
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doi, observed 2026-05-12T21:11:32.241553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:5107c9379cb208d05aadf182fbac27d5e94a10817225b2fc9f69013c6371ca8c

Observation 0e8053ef-7e09-4ff9-a1bf-7afd5c72c6bd · outbound

This paper cites doi: 10.18653/v1/2021.acl-long.510.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning doi: 10.18653/v1/2021.acl-long.510

Reference 11

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verified exact
doi, observed 2026-05-12T21:11:32.277959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:17efe5a8975d5cc18e0d09cc7b3218527e80366089061a92eb1fac274618c1cd

Observation 88d39381-0811-4451-8c72-d1abd95e17e3 · outbound

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

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-12T21:11:32.297194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:0c6014728d8bcbdb4de456e8802d1e29f3f1302533c92b480011a2d3394c87ac

Observation 07653a06-d94a-4abb-b42b-16aad2179d47 · outbound

This paper cites Decoupled weight decay regularization.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Decoupled weight decay regularization

Reference 13

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raw_fallback, observed 2026-05-12T21:11:32.385000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:03650cfa4bdf19ef7c0259c30531d022054946ea88557de6e3fea3faebb7272d

Observation 1972d458-4b62-444f-9e40-9522770eee9a · outbound

This paper cites Importance estimation for neural network pruning.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Importance estimation for neural network pruning

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-12T21:11:32.389170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:e839508bbb590208adb93e9cc19f4940390b8316bf0f20c7cdd3ee3574c55aa4

Observation cc92a58a-fcdc-4ce6-a4c0-1cf1eddd9d6c · outbound

This paper cites Shashi Narayan, Shay B Cohen, and Mirella Lapata.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Shashi Narayan, Shay B Cohen, and Mirella Lapata

Reference 15

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verified exact
arxiv_id, observed 2026-05-12T21:11:32.260341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:297fc3dcdbb5b3d9da38403fcb1b84a354b972ab35e373704b28259fb64512d3

Observation fed4441b-3f6e-4155-9129-f7b1be57838f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Pytorch: An imperative style, high-performance deep learning library

Reference 16

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raw_fallback, observed 2026-05-12T21:11:32.333383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:1bab366571b1611e4b7994d354149b635f202208089a9c81c348cdd0e8ccd833

Observation b54ceb40-e45b-4766-8dfd-807d9ce18159 · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 17

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verified exact
arxiv_id, observed 2026-05-12T21:11:32.303904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:9d32798c8dc1843ab0407386c250743b2a85adb095a2284d7ac3b1176ef52063

Observation 55a26613-3a1e-427b-bf2d-8d07d1537c2a · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning SQuAD: 100,000+ questions for machine comprehension of text

Reference 18

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raw_fallback, observed 2026-05-12T21:11:32.341625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:85055cdf4dc70e1cbecf561d1b53275194cf4091f93f26880ead3623a4eb2d1d

Observation dda0b8ff-3ade-48a8-a51b-a4092b82a8e5 · outbound

This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning SQ u AD : 100,000+ questions for machine comprehension of text

Reference 19

Resolution
metadata mismatch
doi, observed 2026-05-12T21:11:32.250140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:16f3c9edbc12886034f7dcbc57d19f9bc06d3fd8f56828329d3424eab1cfd0f3

Observation 3bbc67c7-8cf3-4cc1-be14-dfe96a6b7f20 · outbound

This paper cites In: Gurevych, I., Miyao, Y.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning In: Gurevych, I., Miyao, Y

Reference 20

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doi, observed 2026-05-12T21:11:32.272133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:e74a0dbca4f5be36aee0f818ffbd20cf6562e3149e4c9c56d6d05fc7d461d62f

Observation a3bbebe2-1dd0-44bb-b1c0-7dd4747c7b16 · outbound

This paper cites an unresolved cited work.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 21

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raw_fallback, observed 2026-05-12T21:11:32.354596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:b30566295de2590af9548392198962af8352d41dadd5dccda1664ae6067705e4

Observation e9f1a68d-46bd-4553-89ec-11f4c6574f71 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 22

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local_arxiv, observed 2026-05-12T21:11:32.310162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:39436373b41f805e0e22faa828dd0bd469bc4c45bbaf90e4c729d3f9ec97f978

Observation e3e65457-ffa8-4e24-b5b1-630e2e902cdd · outbound

This paper cites Feature Learning in Infinite-Width Neural Networks.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Feature Learning in Infinite-Width Neural Networks

Reference 23

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arxiv_id, observed 2026-05-12T21:11:32.316909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:974db626cccf25bb752b24f98d2249d9421f59bde041de17976e3e37fca358a2

Observation f7dc6355-a4dd-4b07-8796-bfb692e23f7f · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.324092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:53073ecacb4076479a1a8d757b0424afb15849a799110798b6cae5d2a534db19

Observation 61f143d8-953b-4f3c-8726-4720d073c6a0 · outbound

This paper cites The detailed equation is given as follows: b(t) =    b(0) 0 ≤ t < t i b(T) + b(0) − b(T) 1 − t−ti−tf T −ti−tf 3 ti ≤ t < T − tf b(T) o.w.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning The detailed equation is given as follows: b(t) =    b(0) 0 ≤ t < t i b(T) + b(0) − b(T) 1 − t−ti−tf T −ti−tf 3 ti ≤ t < T − tf b(T) o.w

Reference 25

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raw_fallback, observed 2026-05-12T21:11:32.380468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:f6d0ce403f8abef5c3a2c9a23c34fc41dffe923a10b5412da4a77e9838c50927

Observation 97626ca1-12b6-4255-ad0e-d48947a02e3d · outbound

This paper cites Table 6: Summary of the GLUE benchmark.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Table 6: Summary of the GLUE benchmark

Reference 26

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raw_fallback, observed 2026-05-12T21:11:32.337581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:35364a43629fdb7ca9f3d19d114512decfa139c4506c97a73413b0e802566f5b

Observation 9bfc20c2-ff39-4196-b3f2-9b84fde55044 · outbound

This paper cites an unresolved cited work.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 27

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raw_fallback, observed 2026-05-12T21:11:32.358270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:50e75f3ca98b5c01a87cfd8f9d8ee79fa3b4e8bd7f4d8b9a4458c477899b1dde

Observation aff0b130-80fb-4a4d-8d91-de28528711ce · outbound

This paper cites The configuration of AdaLoRA is listed in the following table.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning The configuration of AdaLoRA is listed in the following table

Reference 28

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raw_fallback, observed 2026-05-12T21:11:32.362242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:e7735b2d9d91bf6cb00adefbeb21e47e0ada21be20312ffe7649a0e5f1fa4859

Observation 65d3e3a5-932f-46d3-b015-1947a53e9072 · outbound

This paper cites The memory footprint of two methods are quite close.

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning The memory footprint of two methods are quite close

Reference 29

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raw_fallback, observed 2026-05-12T21:11:32.367554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T21:11:32.186676Z digest=sha256:4b78c93878ee7731b20c2acdcce0584e261c6242b0f871d25ae8d4e393d2519d

Pith citing papers

Observation 8416b70c-7c44-4814-9a2d-bd05a060d6ee · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 92

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local_arxiv, observed 2026-05-14T23:07:42.522709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T23:07:42.245641Z digest=sha256:6b1d2c56c7725b96c743ffcdc15ff19f1e7a3044370ad2362309d5872f67aee0

Observation dc56729f-f696-433d-a2df-ab647b479963 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 83

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local_arxiv, observed 2026-05-13T11:32:36.985500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:45c59db338ce315df489b6b581bafca869d9f8a5139738c7c47d11bf0d753168

Observation 7c4d5209-9a35-49ad-b86b-257fe813ad32 · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 92

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local_arxiv, observed 2026-05-23T06:02:37.699228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T06:00:56.578343Z digest=sha256:3829c997c06cfcb1e56c7ebfcf3b1e57c0b1dce3faae22ce1c5895486c94dcc6

Observation f93021cc-42b0-443d-91f0-902852f32316 · inbound

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN cites this paper.

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 49

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no resolver link, observed 2026-08-07T15:05:19.743618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:19.743618Z digest=sha256:c738b7a5fe48e586714a69b08fa003d338973c02facbc225c7b1defa77d06ecc

Observation 70003de8-e4da-491d-b5d3-eb5560362470 · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 52

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source=pdf_text observed=2026-08-07T14:46:02.602480Z digest=sha256:e9a1a2b4ab2dc424ee9f3b43b195e25301d38e9f504fcc95898c5a21069afa55

Observation 619cddef-91fe-4ca9-8445-751ea1a3702c · inbound

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation cites this paper.

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

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no resolver link, observed 2026-08-07T14:36:18.585797Z

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source=pdf_text observed=2026-08-07T14:36:18.585797Z digest=sha256:f511138e4fe881f9a88bbb1e5c82c5ccf1939aee2b5d39ba414e937c20fd5d76

Observation c429c266-418d-4ce7-a27f-0f965fa7caa5 · inbound

Benchmarking and Rethinking Knowledge Editing for Large Language Models cites this paper.

Benchmarking and Rethinking Knowledge Editing for Large Language Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 30

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no resolver link, observed 2026-08-07T14:31:42.123442Z

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source=pdf_text observed=2026-08-07T14:31:42.123442Z digest=sha256:53a76bebf8ec71f6c217d60467c1e337ab72645e4897c532b260788c9a792203

Observation 954511ad-e108-4f63-ad74-7e3fac27b012 · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 54

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no resolver link, observed 2026-08-07T13:51:33.779422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:33.779422Z digest=sha256:488f7d18ae3e3e36a7091732bae4ffb8c7dd41254870bc45e6c3a7e3540ae44d

Observation 45701032-b117-4f0a-b37a-ea6a278b1e9c · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 83

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no resolver link, observed 2026-08-07T13:10:38.434276Z

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source=pdf_text observed=2026-08-07T13:10:38.434276Z digest=sha256:d6f03b647b59fa2b4a34fc15de335a3d58aed10b0b14dfb61d318530e72fea3d

Observation 0dda1f9b-8674-4132-a24f-c51943e9deb4 · inbound

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 55

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no resolver link, observed 2026-08-07T13:06:27.387430Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:06:27.387430Z digest=sha256:9447fc478baabee1fdf8773f2b83627881ad5204be02b6305b4f1d81cf02eb2d

Observation 8002dc84-f92f-4bfd-928b-f3a3a3ba5c8c · inbound

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption cites this paper.

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:45.975885Z digest=sha256:7458cf222e14267e848b00089bb37ee78a8ea2942e792de6a698d341dcc8d476

Observation 095364be-6576-4ca5-81f4-e66414fb3788 · inbound

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning cites this paper.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 54

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no resolver link, observed 2026-08-07T12:21:40.114807Z

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source=pdf_text observed=2026-08-07T12:21:40.114807Z digest=sha256:8c102b2bd18af14ddb73a2ba91cd5ce939d52ace05310bbd428404c5c6069ab0

Observation f82c49eb-4f3b-4c9e-89a4-ce18d4b775f1 · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 52

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no resolver link, observed 2026-08-07T12:09:16.082796Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:09:16.082796Z digest=sha256:0aaa3e15e373ec4492e3d60150acf30f6651392d19d8fb2aaa5fae12449146c7

Observation 2bf6be21-067d-4caa-a121-944b1b7e2661 · inbound

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection cites this paper.

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 24

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no resolver link, observed 2026-08-07T12:05:53.349160Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:05:53.349160Z digest=sha256:c70be033e722fff302a07060a6f0314cda6abf43f22b006965bc078ce4671fdc

Observation e255f717-7a52-42b6-a012-73834db58d21 · inbound

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation cites this paper.

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 70

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no resolver link, observed 2026-08-07T11:29:55.244527Z

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source=pdf_text observed=2026-08-07T11:29:55.244527Z digest=sha256:f94ad5b311a1b4c4acfa0dde94a64738f5500e458d81aa2cda33443e9419374d

Observation 8032bed9-ec73-4314-81b6-5086ae57b239 · inbound

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts cites this paper.

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 33

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source=pdf_text observed=2026-08-07T10:40:28.645250Z digest=sha256:dc4193cbed257c1c074794af2d46e48db16d33a57d076c9ea976a1b912d83aae

Observation 9114de08-f057-4f7e-b8c8-c69548095bee · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:20.143648Z digest=sha256:f927c0c03d3f71ba241c168a663e0a3a144279dbb2d447f5bc25c0437f5796ab

Observation d2e2d026-ca3e-4344-9028-664d3188f341 · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

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source=pdf_text observed=2026-08-07T05:05:00.494848Z digest=sha256:bfad61fa0cd059e1b128da938a9237320583bcb219ccba772ef124725cfaed92

Observation 22fb7094-6282-4a76-9ae3-ccda0eb9dc36 · inbound

Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data cites this paper.

Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 26

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no resolver link, observed 2026-08-07T04:50:05.576497Z

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source=arxiv_source observed=2026-08-07T04:50:05.576497Z digest=sha256:042751a3db65711afde9d27ae8af60002c40ccd353b265d2a2606c5aca1ac746

Observation 7e6c3304-068c-4764-a472-2ad73a87ab93 · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 26

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no resolver link, observed 2026-08-07T04:09:26.949768Z

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source=pdf_text observed=2026-08-07T04:09:26.949768Z digest=sha256:d66959e85994c7eb54c7e15feb1aa8982533c6c9df001d0e4ca566110c1ff1c9

Observation 7645acea-2279-45ae-ba0c-b60299d5f33f · inbound

PFMBench: Protein Foundation Model Benchmark cites this paper.

PFMBench: Protein Foundation Model Benchmark AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:59:28.126728Z digest=sha256:40464ed4bd1b341a6200959f07443e591b49f8c390c135653ce71471d35b88f2

Observation 32f10d84-83ea-4ff9-8bb6-cbc0cb9fd109 · inbound

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

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 7

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no resolver link, observed 2026-08-06T22:50:12.149846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:12.149846Z digest=sha256:3f9de22606d0d623f70ca484b21220f680a0f9ec9ed688f1712f37a0e8f7157b

Observation 2dbf9e0e-86e1-451b-9362-22030c13fc81 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 88

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verified exact
local_arxiv, observed 2026-05-22T13:06:34.474048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:22f0084f43f4b149ee8797c0ead1c0eebe3f22f1c032f8d614a0000397132fc7

Observation b2ec9afa-aef1-402b-85e9-dec1caa4ac26 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 9

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verified exact
local_arxiv, observed 2026-05-19T09:07:14.688061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:05:25.236355Z digest=sha256:57e28d6b2a3622de640cb7dfb0d9ac96790195ea959b482da09d50000edcda5f

Observation cef7367c-e1f3-4999-a3b4-17401fa30d44 · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 97

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source=pdf_text observed=2026-08-06T20:59:03.487001Z digest=sha256:aeb37e5fac06b2ae56c5698cfab8f9dee4b317afdaa8c715a7627a74e14edb50

Observation d8b70dcc-1e13-4512-8cdd-c9ef4e083c3f · inbound

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering cites this paper.

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 18

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source=pdf_text observed=2026-08-06T20:48:15.677456Z digest=sha256:107f1138de5b8a384fc6b63f2f165f01d1f40db5a93d0329bd3110f365ddc9cf

Observation e2191883-4d52-4f65-9ef9-e8cb41d415a1 · inbound

Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models cites this paper.

Animation Needs Attention: A Holistic Approach to Slides Animation Comprehension with Visual-Language Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 29

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:04:13.503234Z digest=sha256:4ead2ef525f0ceaea1b7b2ff88532346a88bdfb0e732649fadc62d9d1b98a037

Observation 95ac8e9d-fa23-4d8e-a8a8-f2e31c924a3e · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 45

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no resolver link, observed 2026-08-06T19:07:37.441923Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:07:37.441923Z digest=sha256:dae8a5126df8f5aea47167945760686aa27630c19104846f934cbfb07c8a58ae

Observation 8ed0d4bb-2b3b-47aa-b68a-9afadb3b77dc · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 50

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no resolver link, observed 2026-08-06T18:48:55.223491Z

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source=pdf_text observed=2026-08-06T18:48:55.223491Z digest=sha256:2887991c3a73727705d485e40ec9e0c3ff031c6d36336dcaf03585d529cb79a1

Observation f90f451e-8e67-4718-ab89-7507bd97bf7f · inbound

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

Low-rank Momentum Factorization for Memory Efficient Training AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 63

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no resolver link, observed 2026-08-06T18:35:40.242074Z

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source=arxiv_source observed=2026-08-06T18:35:40.242074Z digest=sha256:3f8815f4fceae429aa31f6b794013a4950edcfec1fa51969ae9e2447566c7f4a

Observation fa131fcd-4231-409b-8c0b-29a5b8628640 · inbound

Enhancing RLHF with Human Gaze Modeling cites this paper.

Enhancing RLHF with Human Gaze Modeling AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 21

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no resolver link, observed 2026-08-06T18:11:16.866634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:16.866634Z digest=sha256:0e1e3aab912c5ac77084c2b0f306251fc8cf1f28429bc8905256851a2bd207d6

Observation 2b6e8eac-7f36-4070-a214-e818da39a35f · inbound

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking cites this paper.

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 76

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no resolver link, observed 2026-08-06T15:46:27.743549Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:46:27.743549Z digest=sha256:7dc013133881ef0b6a2db771dc0141219d10a4c678b1a6197fa56d79b9a1a325

Observation 701352c0-bb4a-42b3-aafa-8638c5c305b2 · inbound

Tensorized Clustered LoRA Merging for Multi-Task Interference cites this paper.

Tensorized Clustered LoRA Merging for Multi-Task Interference AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 49

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no resolver link, observed 2026-08-06T01:01:51.889084Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T01:01:51.889084Z digest=sha256:8cbacd30b72569ee07c2b90ff2c17fe052ec1c2666eaf61c8e1108476b54e092

Observation e03b10bd-d8fe-4dc3-b12f-4aa18254e1bc · inbound

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning cites this paper.

Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 51

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no resolver link, observed 2026-08-05T23:08:17.407940Z

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source=pdf_text observed=2026-08-05T23:08:17.407940Z digest=sha256:6fe5e23308a81fe9dfe06be42e531cec57f489b7b08cc0d8200549335df4741c

Observation 21b668b0-6030-4e0b-b14c-409376b230ca · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 43

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no resolver link, observed 2026-08-05T17:33:17.053712Z

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source=arxiv_source observed=2026-08-05T17:33:17.053712Z digest=sha256:21ea9fef9998c706c3ead43556d0d0a244238b2e04cd3e9a7f033ee7ef79b342

Observation eff55632-9910-4faf-876c-ce191620e4d0 · inbound

Language-Aware Information Maximization for Transductive Few-Shot CLIP cites this paper.

Language-Aware Information Maximization for Transductive Few-Shot CLIP AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 17

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source=pdf_text observed=2026-08-05T13:48:30.321841Z digest=sha256:5d1db6455c1c55bce55fc844f2ac562c68b4d9357a47ba0933d7d68e09bcfaf0

Observation d549630e-19c5-456c-a461-37610a4829a8 · inbound

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization cites this paper.

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 40

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no resolver link, observed 2026-08-05T12:43:45.459920Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:43:45.459920Z digest=sha256:a7549513a501ada18d67d1414bc91aa8f973e3a69bbeb1de265b69f7d5c31112

Observation 52ab96e8-5928-43c6-a84d-6a19a4021378 · inbound

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values cites this paper.

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 77

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verified exact
local_arxiv, observed 2026-05-18T18:56:45.960924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:55:31.923309Z digest=sha256:ef3dad86e324e8c3d77cc3bc1b05d566f83a86fec883e663db901577b71939e6

Observation f5af7429-8913-4402-a9ae-f1ebad3f3921 · inbound

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection cites this paper.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

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no resolver link, observed 2026-08-04T19:37:26.986670Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:37:26.986670Z digest=sha256:6056e10f73e97d91a8079866d6f05eb6bce7ab7e85bd0159806314f1e9f107dc

Observation ddd40eaa-a6ff-4374-add7-244d80d2f90d · inbound

Semantic-guided LoRA Parameters Generation cites this paper.

Semantic-guided LoRA Parameters Generation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 15

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source=pdf_text observed=2026-08-05T05:37:07.244148Z digest=sha256:6bfe18b5b1cc09afb1618370cfaaf11ee41d07b0af801e336d5104dbcacfaad2

Observation b17875cb-0fd4-4fa0-bf97-a294ebe8d838 · inbound

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint cites this paper.

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 32

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unresolved
no resolver link, observed 2026-08-04T17:22:08.994065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:22:08.994065Z digest=sha256:4355ec1a7831441ca63947825dbaa856498152c9afc97363d790ea8cc88f9d7d

Observation 34982c22-582f-4108-9c45-e3874dce591f · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-18T14:52:41.208625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T14:51:30.312509Z digest=sha256:ba26782cc7d33491df7274be815d0a9550010fd668d097dcff347001a22d222b

Observation 75942c4c-bc51-4602-a989-b84c9bd28ae4 · inbound

Adaptive Minds: Empowering Agents with LoRA-as-Tools cites this paper.

Adaptive Minds: Empowering Agents with LoRA-as-Tools AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 6

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unresolved
no resolver link, observed 2026-08-04T09:26:25.617565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:26:25.617565Z digest=sha256:8a99db64b08d32fdb45675a000ddf93d05f7b140367bb67cc1e644daad11311d

Observation 7b32351c-4328-4b99-b3a1-1789ea1db621 · inbound

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning cites this paper.

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T20:54:31.207970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:54:31.207970Z digest=sha256:434ece590f4a410d686b0b258b7660906384571068f2022922383ed25270b906

Observation 6358ef78-d72e-41ac-8344-4175edad1901 · inbound

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations cites this paper.

Don't Use a Cannon to Kill a Fly: Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:32.987090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:32.987090Z digest=sha256:96a1ac94d978cbd1418cbeabec8cbc3a54a795ffacce2733dab2f0c77c5bfb0d

Observation cc069e44-c559-470b-8ee3-c88332c4a1aa · inbound

Selective LoRA for Visual Tokens and Attention Heads cites this paper.

Selective LoRA for Visual Tokens and Attention Heads AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-16T20:18:23.676540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:07.884892Z digest=sha256:304df3b27567caa44692bf5d1a2264abbaa7b234f2de0795c61fa28aed31862d

Observation 08979f39-03d3-4f05-9dea-78348c68a23f · inbound

PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification cites this paper.

PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T21:41:34.898926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:41:34.898926Z digest=sha256:43395f51fbb398c39af5731323e4487423d972c82a4ff65787491a8b0dbb6f1c

Observation 3990c05f-5cbc-4132-b166-35490cc79b4a · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:56:30.623437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T18:55:02.067855Z digest=sha256:17656f97195a686ca176e97fc48ed2e9caeb622d8bc3ac5aeb1a788de487e06c

Observation 247db36f-70bd-4a57-ac1d-7fd8d61ee40b · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T20:37:26.935452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:37:26.935452Z digest=sha256:003bc965f328247c2be393556cbd651b0202598590a78bc0958c04c40c7030b3

Observation 42cf7ddf-52b5-459e-827d-ca1a135522c1 · inbound

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates cites this paper.

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 63

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unresolved
no resolver link, observed 2026-08-03T03:30:19.046024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:30:19.046024Z digest=sha256:26d7fd5f94f6e98b2f4d7263ef8bdf0b7c5e6d400ffe25d4212967e9466efb36

Observation bd2fafc3-70ef-484e-b8ee-5c7f8f360fb5 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 94

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unresolved
no resolver link, observed 2026-07-13T14:28:05.261852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:28:05.261852Z digest=sha256:c7d7f4b7433b226b8f4ae19691b154aaf3676f11dc606fde00cb2e17b8463087

Observation 060477e4-fa78-44a1-9724-d9c34c95382c · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 94

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unresolved
no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:44:19.622453Z digest=sha256:8febb5065aba3057248fceadf3fa7ff30a267b8417ae10ec440ee84b3b51ddfd

Observation d443c3b0-f370-47c9-8dd4-eca382e7dca3 · inbound

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters cites this paper.

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:03:12.316974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:01:38.549171Z digest=sha256:71bac9494f3b6f6172cd81540ead706fb55c70f69c37858bda6f2f0052d4ba56

Observation 08c36b7b-aeae-4a47-b140-c24cc1ceae70 · inbound

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems cites this paper.

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:51:18.466788Z digest=sha256:7c639d62c5f27a533ce0d43ac575b85acbe3f269bb44dab8ae4fadcec7eab045

Observation 886954ec-e472-4224-902f-0029a23e61d2 · inbound

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training cites this paper.

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:18:56.476698Z digest=sha256:a6c5bf1e274bb71e7de1a22b6f66126c491bc8b1151a64703212fb0e4abbac36

Observation a62eac17-458f-4090-994a-80f44cc62bdc · inbound

Sensitivity-Positional Co-Localization in GQA Transformers cites this paper.

Sensitivity-Positional Co-Localization in GQA Transformers AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:15:58.196935Z digest=sha256:88e089df7e6991b1c3328143f5c315a17145982ce82a4ddb438d884b97c87c60

Observation 7ea55f1f-3ad6-45a2-b5d4-42a3b01be514 · inbound

SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates cites this paper.

SpectralLoRA: Is Low-Frequency Structure Sufficient for LoRA Adaptation? A Spectral Analysis of Weight Updates AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T15:49:34.792960Z digest=sha256:7c9d260953b8c5b3bdd2fc35ba1046aa1c7acba5981b10f3b0f28a2d1fe6691b

Observation 44f7d063-ae7e-4813-8f06-3e39894603bb · inbound

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures cites this paper.

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-13T18:38:07.548431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T18:35:23.814733Z digest=sha256:29dab7a5755a517ae0ccc7ff30efe1a0a7163d31a492db66c0207ba7217fb785

Observation 93895f43-8c2d-4d2b-9c57-0ba4dce37bd4 · inbound

A Benchmark Study of Segmentation Models and Adaptation Strategies for Landslide Detection from Satellite Imagery cites this paper.

A Benchmark Study of Segmentation Models and Adaptation Strategies for Landslide Detection from Satellite Imagery AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:40:50.561896Z digest=sha256:d8324cbae04d6dbddffebb53a915b682e2f12fc29419e99fb50a489ec566b5b9

Observation 0bc49726-ae7c-42b7-805e-4e7eafa7d8fe · inbound

BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs cites this paper.

BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:30:34.672815Z digest=sha256:c60a308c553188aac957b2d85486a539429bcbeab1dc92cf870e685d3439498c

Observation fa9f2721-e077-4eea-a2bf-27d896bae241 · inbound

HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation cites this paper.

HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:44:01.092747Z digest=sha256:44abc2be826d182151496df916500d41373c0cf830f87aec0fb4392982953710

Observation 09b5b13d-f137-4e39-82c2-410187e44d5b · inbound

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

TLoRA: Task-aware Low Rank Adaptation of Large Language Models AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:07:10.885133Z digest=sha256:2804d3742c54d779e8643e3ab5f84c0efe3b7c889e6dc991ef2cdcfa1885b89d

Observation 96e51186-da05-465f-87c6-31c1b80645ee · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T06:39:00.768904Z digest=sha256:882940bec9f2da935e6ca83838d0c69af5304773b5493e536d6d5f75795935ce

Observation 4bc64714-f60b-45ec-9bcb-a35588f38ae5 · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:21:58.428036Z digest=sha256:7af6cf91c8eb89a8077f8a79a9108f3be6a5f9d7c271e9707d743052b537c677

Observation 1635c991-8ac3-4785-be9f-d56e22d67f2d · inbound

Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification cites this paper.

Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T12:38:52.936656Z digest=sha256:9b877b6bd48b5a7fc2d193067e966b566cc9749fa6df36d5e92c5b495081c66b

Observation 9e59fd14-b7a0-4691-b420-55fc47ee84e7 · inbound

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning cites this paper.

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:22:13.763578Z digest=sha256:e9057855bcfca57350b943a07b086de3182e6817deac81f066a93929bcb6c355

Observation ea048d93-48ce-43fe-a7b4-8f732cdcb66e · inbound

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

BoostLoRA: Growing Effective Rank by Boosting Adapters AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T08:00:21.048408Z digest=sha256:c2e83f37cbca500aae22d162b8035429439ccd91ad6520fdc8540e3afb426621

Observation 9a5ed709-df38-4621-bfba-d93299de27e3 · inbound

ChipLingo: A Systematic Training Framework for Large Language Models in EDA cites this paper.

ChipLingo: A Systematic Training Framework for Large Language Models in EDA AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T09:40:25.666277Z digest=sha256:a9e75e6705eaf65587a19dd011329fa9a4566bad159c7232872d04c4a0567f25

Observation 034833f9-b2f4-4daf-9be3-11a3fccee272 · inbound

Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications cites this paper.

Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 4

Resolution
malformed identifier
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T05:59:01.252831Z digest=sha256:50563353ac54029606d851c25112ed0cdad921162976d392d9329ee1796f0ed9

Observation ce2c1931-8906-4ac1-bcf2-efe5af6764d9 · inbound

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces cites this paper.

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:10:41.778201Z digest=sha256:de0409662861d3a928fb1ef6577f3d9e5227967eaa4d3a296f072e36fd16ff8f

Observation 93f2dce4-324c-4e86-9821-986037d938e0 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 140

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:3fc452afa8f5f27fd3743f79ea896633cc1ea1e3e46c6efe4a68b0ac1a5d45b0

Observation 0dc16f89-ea47-4e0b-9d0e-1591fa27a32c · inbound

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework cites this paper.

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:42:17.370111Z digest=sha256:3ba18a934257d25eea3ee348eba33a7afbabf5dbb13ff1c8f5ddc644abc2ecab

Observation 19a039e1-6453-4b88-ba26-53436f631ba9 · inbound

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration cites this paper.

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T13:57:43.140353Z digest=sha256:69c9f845c9b8abe827085c71c3d06989dd6079fb86968ecc0d4358120e7f26b0

Observation 8157b2a4-4b43-442a-abef-13f3e9f95409 · inbound

Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA cites this paper.

Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T00:50:25.459833Z digest=sha256:8e9441a51aee47e9581c9aa4485328a5a503ee4bdb959d9a0916606b8f7f67b4

Observation c174174b-23c8-45da-98df-e80f0c950377 · inbound

CLIPer: Tailoring Diverse User Preference via Classifier-Guided Inference-Time Personalization cites this paper.

CLIPer: Tailoring Diverse User Preference via Classifier-Guided Inference-Time Personalization AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T02:16:28.593349Z digest=sha256:4a5b8f5d597f598b6664199917ea07b6bc085f1298a305e64a8b6257a1cacc87

Observation c72b6c8a-45e6-498d-b46f-911b9578f9e3 · inbound

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

Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 14

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verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:40:24.429025Z digest=sha256:b0ea4fa731cc10658b6a16905bfca612acaae8e53d943cb7747cf3214cadd274

Observation edf78228-2e5d-4521-810e-a7305e4630a4 · inbound

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning cites this paper.

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:38:14.029660Z digest=sha256:9a6b26d6da0af11f1bcd4f3497bf76d01fdc6a7a5544d5aa2821c3f66ab8675f

Observation 81905e45-6ea4-4b45-ac4d-d9cb179622da · inbound

Text-Guided Multi-Scale Frequency Representation Adaptation cites this paper.

Text-Guided Multi-Scale Frequency Representation Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T21:11:32.390435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:25:10.261289Z digest=sha256:8a5ff3f39125259b66af2c00d065fb8d25152b681115e3b0f0ee9b9e62bf2291

Observation 3b4c991a-baf2-4f58-9450-269a7b4ceff8 · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:27:51.869051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T19:25:12.407148Z digest=sha256:8caf87e2bfe5a29dacb26c987695ec5c6e9039999407b9c3f3673c51878b2449

Observation 63484d9a-1eed-4b75-9259-2a443a169d6b · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-06-30T22:05:06.230947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T21:47:00.295144Z digest=sha256:220ff33a385f1889f57f88d487707f6bb86aeaae560ff93a5c25d417e9acbc49

Observation ae785731-b370-4e68-90cc-740aae41a747 · inbound

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

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T05:29:48.231472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:7360f1d8ba1f9fe8497fd35b227a7a4cd96f5cb59e95d52f73d89c0cd223f7a5

Observation a81b641d-c721-4399-be5a-510a7c8a3952 · inbound

Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking cites this paper.

Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T21:09:02.670534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T21:05:45.024226Z digest=sha256:999737d477f55b4b7f7808dc88940bfe45d55402a5f6ab337f485626ce9490a0

Observation 3ea25e49-490b-4a6c-95c0-c48495ae279f · inbound

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation cites this paper.

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:13:44.015829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T20:09:50.546911Z digest=sha256:5c38665bcbff8b7c3b2cc5ab2932cf3dd1c0e153c06cbf84c19a232fb73dccac

Observation 0ad710af-5b04-42ce-aad4-b74a89a46718 · inbound

Scalable Knowledge Editing for Mixture-of-Experts LLMs via Tensor-Structured Updates cites this paper.

Scalable Knowledge Editing for Mixture-of-Experts LLMs via Tensor-Structured Updates AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T19:13:40.428016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T19:11:16.190784Z digest=sha256:a29096bfac8c4193471f3e747ad6bcd0ccf5982c29b0d7b8ff4f10700ed10fbd

Observation 03fc93b3-1c8c-498b-a324-77ebe886aed2 · inbound

GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining cites this paper.

GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:12:47.193276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T21:10:14.720338Z digest=sha256:0162aa1233a26910397971b2b5cc3569940512effe2bcd78e4782b067cb5d123

Observation 8699ecb7-30c9-4aa7-a8e9-54928481d99c · inbound

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

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-21T06:03:59.403675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T05:59:59.183023Z digest=sha256:9ff40ac82623673f647321def10ed808410755c26365df3d83a52efec6e4723d

Observation c7833461-39e8-47e4-a6d7-ba309505ac64 · inbound

The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems cites this paper.

The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:30:22.717855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:29:39.640753Z digest=sha256:7c934ad7a4788c2814a0f6b328990102e07aafcad15e5eb17a9471c306084310

Observation 6887f923-44fa-4ac9-a868-9fce2ec6ceab · inbound

CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision cites this paper.

CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T14:43:30.520158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T14:42:41.163124Z digest=sha256:9de507a20bc48ba3c70efe9085e261d3b03b20787477b28807aa4852374a4173

Observation d6aecf58-1af4-4b48-b5f2-6db8e9fbd2f6 · inbound

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation cites this paper.

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:13:15.238417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:84b5e9d471f210f3552b07f779be374afc543495dd73f975fddae0f453d70cd0

Observation 53869337-11fa-4f8c-8da4-2875508b39c6 · 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 AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:14.027945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:0e70335a84019e6625a6496f581657040513383c7e5645323615e1a5f3c9422c

Observation 46fa27c3-0584-4d5b-a88e-29b3297b8bbf · inbound

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting cites this paper.

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:33:15.695034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:25:57.439668Z digest=sha256:695e3914e01a55bb4ece11c8e051a765095cbf130a8155f3e09e41795b2c3bd1

Observation b6e15aac-7c38-4029-b484-ee776b4184df · inbound

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence cites this paper.

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 118

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:32:35.475092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T19:03:00.055800Z digest=sha256:96275979dadaf4d36348bfcd7b8473a9552d28ef4282b256c7f4d3ce49d65c2a

Observation b178ca92-9361-4349-a1cf-3147e5b9f93b · inbound

Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing cites this paper.

Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-12T20:04:25.886330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:04:25.886330Z digest=sha256:5f4f5b1cddb81a07c6122f1d89cea0d143145381cf2560196ffb0ad34497fd25

Observation a0c218f0-8dbd-40bc-942d-5ada8b8febff · inbound

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis cites this paper.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T19:31:58.435436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:31:58.435436Z digest=sha256:2ee6889571abc8ea4c76416af11ac6ca40e94be42fcd83e7e65138e06e3e6c8c

Observation 8c951888-8ef4-43ba-9d77-5c82250acf75 · inbound

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis cites this paper.

PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T02:26:31.114856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:26:31.114856Z digest=sha256:44e452d1a0d7aa29cb271380936fa9d201487185337f5e3a1732e2e3f279268b

Observation aa4fb73f-46d5-4c87-85fd-19a05906c1a9 · inbound

How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions cites this paper.

How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:37:24.394151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T19:42:28.510902Z digest=sha256:a3189fffd17464ac7de8a736725a80240b31dd3ea75ccd4e9ecc7c9dc13ec17a

Observation fee951d7-771f-4b45-a498-bbcdfa1a0a03 · inbound

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning cites this paper.

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-03T01:27:30.770781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:34:20.951700Z digest=sha256:1f70844f08cc1ca074c6d7b54e0a4e35545788fc14eb56f06136365b216b4b88

Observation 551c4410-9883-4e80-98ac-0ca4383a2a7f · inbound

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning cites this paper.

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:17:37.209865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T14:03:24.516255Z digest=sha256:9e9f568cb2bd324cd5fa3fcd4184238b72091af8855721be83c7262b72e73f24

Observation 7b5369e6-4cd9-4c0a-a877-96f44400ace2 · inbound

Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning cites this paper.

Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-03T08:47:50.206541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:44:26.538245Z digest=sha256:53d9f75bf10e3e67471e9513dbf6edb3049a1e5e4f88b3809bd9f9c0a7eb9d06

Observation a6d2b46d-39c0-4c9c-bf56-22c991fc68de · inbound

Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation cites this paper.

Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-03T18:18:49.920508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T03:12:46.606412Z digest=sha256:fbbea09aafda2b3f54fbe0c4b94e46b4bee1500f93d4e9782651a70928bf3e98