Paper Citation Record · LEDGER

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.19245.

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

pith.paper-citation-record.v1
2404.19245 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:29:51.422645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:10:18.168382Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation acdf167b-8616-4b55-bb6b-f38850803066 · inbound

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

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T19:29:51.422645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 912f7d45-9396-4b5d-9f6f-b728b22e046e · inbound

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning cites this paper.

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:42:10.760381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fb2662-7254-4005-aea0-2ba17972cf58 · inbound

CoLA: Collaborative Low-Rank Adaptation cites this paper.

CoLA: Collaborative Low-Rank Adaptation HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:55.200079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f639c738-0256-4aa2-9b98-bf9a7a1ee11e · inbound

Two Is Better Than One: Rotations Scale LoRAs cites this paper.

Two Is Better Than One: Rotations Scale LoRAs HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:57:45.092521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482b0006-63b8-4908-af19-71a8acc16119 · 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 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:15.315090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0ed6d0-85d7-49d5-b489-a2954f848beb · inbound

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

PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:12.357927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e52637e-ea97-4b5f-bca6-53d412355b8a · inbound

Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications cites this paper.

Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T13:26:24.994164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 873973ef-fcbf-4e2a-88d9-c227a67bcd7d · inbound

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models cites this paper.

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:10:18.171853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fc7a3b5-9cc6-42ff-a02b-f2737f39a2f9 · 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 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:06.837098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84e373a-d451-430d-8d36-b014f02b4953 · inbound

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning cites this paper.

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:13.976778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9327e433-e2da-4a5c-8752-d9e1609231d4 · inbound

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models cites this paper.

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:20:30.243129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80ad3374-7ad6-426d-9b43-ca659b33a939 · inbound

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts cites this paper.

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:10.156829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94f6d11a-e185-41c2-b527-31d436f5ea65 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 223

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.789153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.