Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.05000.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:55.449383Z
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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.