Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2304.01933.

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

pith.paper-citation-record.v1
2304.01933 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:08:57.373671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.904271Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e4a4237b-fc20-4028-8507-0111ea213e0b · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:28:25.072383Z

Source-reported events for the cited work

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

Observation 360b8194-7d1e-495b-aa6c-4a6e46794dd5 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.334999Z

Source-reported events for the cited work

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

Observation 70b639c2-f96d-4620-81b7-931d65123e94 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:37.041491Z

Source-reported events for the cited work

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

Observation 23a1376e-4b33-4bb5-86f9-22277cf77a6f · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T20:08:57.373671Z

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Observation 9946e0f4-3214-4702-8b7f-826a64bc6c31 · inbound

On the Generalization vs Fidelity Paradox in Knowledge Distillation cites this paper.

On the Generalization vs Fidelity Paradox in Knowledge Distillation LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:22:18.656829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406df8a0-638b-4d79-a790-89c9bd2bfca1 · inbound

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

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:50.473580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f727cbfb-0c03-4bfd-bc3b-c7b2ede625ac · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.612340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c036fcee-8824-42c7-b10c-89686dd598b1 · inbound

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution cites this paper.

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:43.497140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b397c3-3d60-4168-8ae1-d4814a079de6 · inbound

Advantageous Parameter Expansion Training Makes Better Large Language Models cites this paper.

Advantageous Parameter Expansion Training Makes Better Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:03.689722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05cda9ed-9b95-4933-ad63-6ddbaff80b92 · inbound

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

Taming LLMs by Scaling Learning Rates with Gradient Grouping LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.051249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abe3c22-7996-441f-b901-bf39f1988603 · inbound

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models cites this paper.

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:27.894818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14af9a2-f77d-4a3c-81cd-71b9c4a59d6d · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:32.825817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a7748e-04bf-435d-bf1c-b414a76852bf · inbound

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning cites this paper.

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:35.891804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98253ebe-f638-4a9b-9866-65d88257257f · inbound

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives cites this paper.

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T20:20:35.834976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eddbb4d-f39e-4e86-8bb8-d507210af33c · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:29:06.869496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43eac35f-5ac7-41ce-9def-c330a8e423ba · inbound

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

Learning Text Styles: A Study on Transfer, Attribution, and Verification LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:13:25.952280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bfd02c9-95c6-4616-aebe-8fc3213bc9d8 · inbound

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product cites this paper.

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:28:54.636107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2400ab-5de5-4e47-ac6f-7ac799c3523a · inbound

RTTC: Reward-Guided Collaborative Test-Time Compute cites this paper.

RTTC: Reward-Guided Collaborative Test-Time Compute LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T23:10:44.211578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89bb7782-b962-479f-8450-b35582689030 · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:46:25.911795Z

Source-reported events for the cited work

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

Observation a19b1015-5c01-46e7-93e7-f7001f4ac273 · inbound

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

BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:26.070476Z

Source-reported events for the cited work

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

Observation dfcc30e6-23c1-450b-b8d6-8dfe62ac31c4 · 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 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:02:21.974969Z

Source-reported events for the cited work

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

Observation a27c13db-4b11-4840-8e0c-9480694bbcef · inbound

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models cites this paper.

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T11:47:18.965575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577a8ba4-93a2-48c8-af13-b2f477d4e26a · 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 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:06.534821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34093242-8986-44e1-8046-b40a7ab52572 · inbound

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions cites this paper.

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:06:01.496332Z

Source-reported events for the cited work

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

Observation c4bd3618-c596-4fd0-b7e3-c4f5bef898a2 · inbound

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

TLoRA: Task-aware Low Rank Adaptation of Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:48:48.128101Z

Source-reported events for the cited work

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

Observation e307ce98-8749-4c93-80b1-749e4f5dad88 · inbound

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning cites this paper.

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:09.746325Z

Source-reported events for the cited work

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

Observation feb5c839-4e61-4ceb-9780-968240db0c9f · inbound

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models cites this paper.

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:01:16.646974Z

Source-reported events for the cited work

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

Observation 01332645-c432-425d-a36e-6e898de63d9e · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:44:42.655641Z

Source-reported events for the cited work

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

Observation fe5e839b-61a3-46ef-a501-15c2a0fe2df3 · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.589775Z

Source-reported events for the cited work

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

Observation c085a2da-b249-4e52-8ce7-66874215e62e · inbound

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning cites this paper.

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:40:23.885550Z

Source-reported events for the cited work

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

Observation 2686421f-c5b0-4b85-ba90-c9662eee822c · inbound

Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language Models cites this paper.

Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:28.766324Z

Source-reported events for the cited work

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

Observation b0cbf305-1d70-4ebc-9268-8be421534acf · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.905715Z

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.