Paper Citation Record · LEDGER

Flora: Low-Rank Adapters Are Secretly Gradient Compressors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2402.03293.

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

pith.paper-citation-record.v1
2402.03293 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:36:17.778015Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 673ddc9f-8172-4516-a687-e3afb52601bd · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:51:50.285093Z

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 1a4b95c0-f8a5-4277-b315-1d4b2d7421d9 · inbound

GWT: Scalable Optimizer State Compression for Large Language Model Training cites this paper.

GWT: Scalable Optimizer State Compression for Large Language Model Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:57:36.636692Z

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 41686e11-7732-4b46-90fc-326d16a0dfc8 · inbound

Sparse Gradient Compression for Fine-Tuning Large Language Models cites this paper.

Sparse Gradient Compression for Fine-Tuning Large Language Models Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:36:17.778015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c3e789-de35-4d12-ba7f-00a8d4aed1e0 · inbound

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models cites this paper.

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:04.592683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb83fe5-3150-4ccf-81ac-2e61517b0bdc · inbound

Gradient Multi-Normalization for Stateless and Scalable LLM Training cites this paper.

Gradient Multi-Normalization for Stateless and Scalable LLM Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T14:37:23.514931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1dd313c-bc00-4608-967b-bcdeee29589f · inbound

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models cites this paper.

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T13:31:42.052527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac5458c-6c84-4142-8a8f-6a0d78ce0703 · inbound

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning cites this paper.

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:54:52.949057Z

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 693eaa6f-3560-4979-802d-dcdd6009e3c9 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:51.100769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6284ca-2101-498e-8d46-97f27e9863c0 · 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 Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:24.049161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6aa422c-c434-41f3-9b8d-8356b7a5190d · inbound

Memory-Efficient Differentially Private Training with Gradient Random Projection cites this paper.

Memory-Efficient Differentially Private Training with Gradient Random Projection Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.492446Z

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 7660be1e-2b8e-4141-a55f-6b66bef4620f · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:02.066680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d13c518-a176-44f3-a921-2569a2abe3a7 · inbound

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

Low-rank Momentum Factorization for Memory Efficient Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:35:40.137244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3fc130c-9c26-4c5c-9788-10d5918c6306 · 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 Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:52:41.124904Z

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 d698031b-8d77-4aac-950e-d36cb0ad7f5a · inbound

Geometrically Principled Randomized Optimization for Efficient LLM Training cites this paper.

Geometrically Principled Randomized Optimization for Efficient LLM Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T12:51:24.931840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb81c690-ff9f-4896-b1e8-eb05300f1168 · inbound

GiVA: Gradient-Informed Bases for Vector-Based Adaptation cites this paper.

GiVA: Gradient-Informed Bases for Vector-Based Adaptation Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-09T21:33:28.029630Z

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 63240a63-336b-4844-8733-8622ee16f4bd · inbound

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation cites this paper.

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:19.118282Z

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 4c06e91f-0a55-41ce-9612-81dc49b1d486 · inbound

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:19:23.533908Z

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 078e988e-2231-4d3b-b420-c7aa66322b4e · inbound

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:28:59.931111Z

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 4fe6d59b-0efe-4a0e-916c-147c9afcadec · inbound

The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.

The Hidden Power of Scaling Factor in LoRA Optimization Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:08:21.895595Z

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 f3f427d6-7b04-422d-bdfa-c7c11827f361 · inbound

SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning cites this paper.

SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:19:56.035027Z

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.