Paper Citation Record · LEDGER

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 3 inbound Pith citation observations for arXiv:2412.19820.

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

pith.paper-citation-record.v1
2412.19820 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:18:38.751482Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:24.897294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:24:53.219547Z

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy11
unresolved36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f7d900e-c813-45d5-934a-2338ae39e429 · outbound

This paper cites write newline.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection write newline

Reference 1

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Observation c471073d-4d06-4a1a-b3f7-e57f2fcd8534 · outbound

This paper cites @esa (Ref.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection @esa (Ref

Reference 2

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Observation a125a3b8-7d2b-4267-8e79-e9aee3c9db14 · outbound

This paper cites an unresolved cited work.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Unresolved cited work

Reference 3

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Observation f5a2c9e9-a449-4162-8b5b-984c56afb885 · outbound

This paper cites y' 9 cIY k O* d? Bq' MD)SP- Mʸ6 픳9iEebR2] 6 2 h>m lD x/ '@PF2 h 4m lD8aΥ k O hp6 6.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection y' 9 cIY k O* d? Bq' MD)SP- Mʸ6 픳9iEebR2] 6 2 h>m lD x/ '@PF2 h 4m lD8aΥ k O hp6 6

Reference 4

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Observation cecce7bd-daa1-4776-b6d0-c1c94a6f9b2a · outbound

This paper cites A variational approach to stable principal component pursuit.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection A variational approach to stable principal component pursuit

Reference 5

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Observation ba686850-4403-4d21-b43b-f92f54c945c8 · outbound

This paper cites Language Models are Few-Shot Learners.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Language Models are Few-Shot Learners

Reference 6

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Observation e17c253b-c08c-4c07-ab4a-3f6341169e72 · outbound

This paper cites INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation

Reference 7

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Observation 5ee67fdc-df17-4683-bc73-7af4adcc5617 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Training Verifiers to Solve Math Word Problems

Reference 8

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Observation ab42cd83-a506-4c99-8be2-1c435e654d3b · outbound

This paper cites Multi-Head Attention: Collaborate Instead of Concatenate.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Multi-Head Attention: Collaborate Instead of Concatenate

Reference 9

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Observation 2b7ec10e-d01d-408a-9929-d3559bbb7bea · outbound

This paper cites QL o RA : Efficient finetuning of quantized LLM s.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection QL o RA : Efficient finetuning of quantized LLM s

Reference 10

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Observation e9599f8c-8707-451a-a90e-b5710d4c32a9 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Parameter-efficient fine-tuning of large-scale pre-trained language models

Reference 11

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Observation f8024ba8-a5d3-4991-aceb-067bb64ab1b9 · outbound

This paper cites Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

Reference 12

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Observation 2cdc3da3-e285-425e-8846-4758b48be093 · outbound

This paper cites WARP: Word-level Adversarial ReProgramming.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection WARP: Word-level Adversarial ReProgramming

Reference 13

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Observation 32349b66-24db-48ec-b758-12961b1c9103 · outbound

This paper cites Flora: Low-Rank Adapters Are Secretly Gradient Compressors.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:38.194111Z

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Observation b9d04d88-bac7-42e8-b4a9-3ea63efb4dc3 · outbound

This paper cites Robust principal component pursuit via inexact alternating minimization on matrix manifolds.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Robust principal component pursuit via inexact alternating minimization on matrix manifolds

Reference 15

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Observation 21ca77b1-e58f-4e7e-9613-993c8e212586 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Parameter-efficient transfer learning for nlp

Reference 16

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Observation 17b4428e-f42a-4a38-bce5-461d465e811d · outbound

This paper cites Lo RA : Low-rank adaptation of large language models.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Lo RA : Low-rank adaptation of large language models

Reference 17

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Observation 76790958-54fc-4af0-b802-8317807fe053 · outbound

This paper cites Compacter: Efficient low-rank hypercomplex adapter layers.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Compacter: Efficient low-rank hypercomplex adapter layers

Reference 18

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Observation cbe573d2-a361-4610-8032-3437580469e0 · outbound

This paper cites Parameter-efficient multi-task fine-tuning for transformers via shared hypernetworks.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Parameter-efficient multi-task fine-tuning for transformers via shared hypernetworks

Reference 19

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Observation eefa4aab-0d3b-4199-989f-cb4c481043aa · outbound

This paper cites Mawps: A math word problem repository.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Mawps: A math word problem repository

Reference 20

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Observation 3bc3cd43-0653-49e6-8d59-cbae794359c6 · outbound

This paper cites Ve RA : Vector-based random matrix adaptation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Ve RA : Vector-based random matrix adaptation

Reference 21

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Observation 111df8e5-86e2-4196-b943-9eac5c6d3a51 · outbound

This paper cites A lpha T uning: Quantization-aware parameter-efficient adaptation of large-scale pre-trained language models.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection A lpha T uning: Quantization-aware parameter-efficient adaptation of large-scale pre-trained language models

Reference 22

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Observation 8fc23a1b-2483-452a-8bba-1b37a1fe7e4f · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 23

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Observation 0e01f012-e052-4b57-b0fd-cc59c83f961e · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 24

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Observation f3449829-7ac6-4013-91dc-2b76222ba6fc · outbound

This paper cites Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:39.839221Z

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Observation c8207180-fca1-4225-93d8-d25c9e3a9a4e · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 26

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Observation 941ad48a-3e76-47ed-89b7-914ce9964b79 · outbound

This paper cites Exploring versatile generative language model via parameter-efficient transfer learning.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Exploring versatile generative language model via parameter-efficient transfer learning

Reference 27

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This paper cites The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Reference 28

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Observation 2f469b2c-7985-4ec8-9469-fe56aec3f08d · outbound

This paper cites Robust recovery of subspace structures by low-rank representation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Robust recovery of subspace structures by low-rank representation

Reference 29

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This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 30

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Gpt understands, too

Reference 31

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 32

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This paper cites RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation

Reference 33

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This paper cites The E 2 E dataset: New challenges for end-to-end generation.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection The E 2 E dataset: New challenges for end-to-end generation

Reference 34

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This paper cites Training language models to follow instructions with human feedback.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Training language models to follow instructions with human feedback

Reference 35

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Learning multiple visual domains with residual adapters

Reference 36

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Code Llama: Open Foundation Models for Code

Reference 37

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 39

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 40

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Fast algorithms for robust pca via gradient descent

Reference 41

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Observation 15fb005e-78ac-4f90-b93c-f2dd027f1c5b · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 42

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Adaptive budget allocation for parameter-efficient fine-tuning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:39.613849Z

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Observation 743b6ede-86ce-4a54-9578-2f1a43dba328 · outbound

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Robust pca by manifold optimization

Reference 44

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This paper cites Adam-mini: Use Fewer Learning Rates To Gain More.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Adam-mini: Use Fewer Learning Rates To Gain More

Reference 45

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This paper cites Galore: Memory-efficient LLM training by gradient low-rank projection.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Galore: Memory-efficient LLM training by gradient low-rank projection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:39.574812Z

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Observation 3a3b96e2-1129-4496-b400-6acb21184db4 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 47

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Godec: Randomized low-rank & sparse matrix decomposition in noisy case

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:39.553637Z

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Observation 39ca56a0-79bd-452e-a45d-d8ab26690774 · outbound

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GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection Unresolved cited work

Reference 49

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Pith citing papers

Observation a92c2a26-62f7-4586-825e-b9e2e9f56b0c · 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 GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection

Reference 22

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Memory-Efficient LLM Pretraining via Minimalist Optimizer Design cites this paper.

Memory-Efficient LLM Pretraining via Minimalist Optimizer Design GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection

Reference 7

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Observation cee76c2c-d269-4488-b224-d10321023029 · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T13:31:02.244573Z

Source-reported events for the cited work

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