Paper Citation Record · LEDGER

LoRA-GA: Low-Rank Adaptation with Gradient Approximation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2407.05000.

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

pith.paper-citation-record.v1
2407.05000 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:25:54.729617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.421796Z

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 77b962e6-f603-4aa6-935c-5c150fe21e99 · inbound

CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization cites this paper.

CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T23:25:54.729617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c7bea6-2db8-42e7-8c08-7b110304cfd2 · inbound

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

HRP: High-Rank Preheating for Superior LoRA Initialization LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T11:51:10.356322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9232b5-9df6-49a1-ae56-1b4d57f1c518 · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.517130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c63dcc5-bc46-41aa-977e-89b6d0396b97 · inbound

CoLA: Collaborative Low-Rank Adaptation cites this paper.

CoLA: Collaborative Low-Rank Adaptation LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:55.449383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6739a88d-d2e1-4775-8820-a5b11a4f267a · inbound

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models cites this paper.

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:47.518653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce71ade5-4c56-4a0e-9682-45c5f43e62a0 · 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 LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:54.774002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330be462-9aa2-47d5-84d0-1df3afdad9f8 · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:46:25.971700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e55e3f5e-b0aa-4b84-88d9-5b2677592d1c · 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 LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T11:47:19.001908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af660c30-3218-4d44-b3ba-d44a57b3be09 · 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 LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:20:30.230973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 340d5d58-483b-4410-8c5f-10937c98d28e · 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 LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:15.245982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 423cf796-4eea-400a-9c21-d5e6ad618682 · inbound

FACT: A Simple and Efficient Framework for Active Finetuning cites this paper.

FACT: A Simple and Efficient Framework for Active Finetuning LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:17.174886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6056490-1f13-4844-b04f-3a0bc593837c · inbound

Channel Location Constrains the Auditability of Subliminal Learning cites this paper.

Channel Location Constrains the Auditability of Subliminal Learning LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.424048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98c5a593-30cc-440a-9745-9d0a63ddb207 · 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 LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 244

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.838707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613486fe-4142-4316-9292-2f82f01213ad · inbound

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning cites this paper.

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-08T17:11:02.195801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.