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Paper Citation Record · LEDGER

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2602.00942.

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

pith.paper-citation-record.v1
2602.00942 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:01:17.062582Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T21:48:48.992712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:26:04.007774Z

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation bc57c526-d428-427d-ad01-c6c15bbe6023 · outbound

This paper cites an unresolved cited work.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Unresolved cited work

Reference 1

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Observation d4c2fb14-22f3-4a48-af62-398461c4a375 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference MiniLLM: On-Policy Distillation of Large Language Models

Reference 6

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source=pdf_text observed=2026-08-03T06:01:14.308390Z digest=sha256:e412ea5a193babe2c47a87d2c7cf1d264c1e5d66f0516ace98d0af3ea9942ee0

Observation ad01f63e-806d-45e8-9cb0-7eec0b15a6ca · outbound

This paper cites Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

Reference 7

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source=pdf_text observed=2026-08-03T06:01:14.403308Z digest=sha256:b547fd500da52f73488dbe30c2123c99ff7410c84e4111726bc20d5a67eff366

Observation 9945ffc8-f02b-4b4c-8727-87aafdc31756 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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source=pdf_text observed=2026-08-03T06:01:14.730713Z digest=sha256:b984738f0f47bbe0d082ce3d0023b64625ad8ba82234a33d076dbf353a8751f4

Observation 14b5ae28-76fd-4843-9180-75a2e7fd78ab · outbound

This paper cites LOST: Low-rank and Sparse Pre-training for Large Language Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference LOST: Low-rank and Sparse Pre-training for Large Language Models

Reference 10

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source=pdf_text observed=2026-08-03T06:01:14.921682Z digest=sha256:920069d6484f3374f0540bbe7d0d9bfbab60845cc20455420cfb00850e053780

Observation 73acbdd0-903a-4ccb-ae5b-f634480deb13 · outbound

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

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Reference 12

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source=pdf_text observed=2026-08-03T06:01:15.169927Z digest=sha256:1835fbd878e811010fca06bd047ffb06e72e0dbabeaeb2af374186ccff91502e

Observation 4a79ea50-3321-48ab-a1b8-05bc7fd46c53 · outbound

This paper cites an unresolved cited work.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Unresolved cited work

Reference 14

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Observation 71077ca9-6640-4d06-a399-57c42d666d16 · outbound

This paper cites Large Language Models: A Survey.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Large Language Models: A Survey

Reference 15

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source=pdf_text observed=2026-08-03T06:01:15.599251Z digest=sha256:fc995ea454012f5507c186b24f601027153bf3014083d837371ea68efe6d6b32

Observation 41b8e5eb-3eb4-467c-90f6-54f4ee8f941f · outbound

This paper cites GLU Variants Improve Transformer.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference GLU Variants Improve Transformer

Reference 16

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Observation 72ea5979-6749-4a66-947f-18edec70a55d · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Reference 17

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source=pdf_text observed=2026-08-03T06:01:15.778023Z digest=sha256:b3354026e54939a07fb68257270822175d10ff74200d1e338f874bee41f27141

Observation 98402d49-45e7-4372-97f7-25d26dbfa961 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Gemma: Open Models Based on Gemini Research and Technology

Reference 18

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Observation c4b4a7bf-04bf-43f8-9125-e543a17f50a8 · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 19

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Observation 58579dfc-9e38-4100-ac64-826b8600302f · outbound

This paper cites Convergence of Bregman alternating direction method with multipliers for nonconvex composite problems.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Convergence of Bregman alternating direction method with multipliers for nonconvex composite problems

Reference 20

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source=pdf_text observed=2026-08-03T06:01:16.243622Z digest=sha256:83e299d313fd1663e8f58d2ae81a94396a38a381713b6f1390d8a20cb458c110

Observation 7f6d88e5-8006-46f0-89a2-578f60f73887 · outbound

This paper cites Structured Pruning Learns Compact and Accurate Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Structured Pruning Learns Compact and Accurate Models

Reference 21

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Observation 29858852-5022-4402-a062-f16e78132023 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 22

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source=pdf_text observed=2026-08-03T06:01:16.512687Z digest=sha256:4772473e1ca828d4db9251bda2e6b328faeb0f2e9794145f7d97be8d30608d50

Observation 8ab3eccc-9d8b-45dd-96aa-f69573977540 · outbound

This paper cites A Survey of Large Language Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference A Survey of Large Language Models

Reference 24

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source=pdf_text observed=2026-08-03T06:01:16.705247Z digest=sha256:63113257fc813729f4bc77f6f30d6479392c64419f1cc33772bdbadb675ec443

Observation 529e89ae-bc66-45c2-afa8-ae4a7b9e0a5a · outbound

This paper cites Limitations of Post-hoc Sparse and Low-Rank Decomposition In this section, we examine the limitations of post-hoc SLR decomposition via RPCA.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Limitations of Post-hoc Sparse and Low-Rank Decomposition In this section, we examine the limitations of post-hoc SLR decomposition via RPCA

Reference 26

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Observation a2ec9b25-1521-4c1f-b295-5a8a5ddbfd85 · outbound

This paper cites PoLAR: Polar- Decomposed Low-Rank Adapter Representation.arXiv preprint arXiv:2506.03133,.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference PoLAR: Polar- Decomposed Low-Rank Adapter Representation.arXiv preprint arXiv:2506.03133,

Reference 2010

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source=pdf_text observed=2026-08-03T06:01:15.336427Z digest=sha256:b3314e51a5932f84c027bb58e1f3fe441279d13251582f60b25b352fbce90b5d

Observation 6333a707-fe88-4494-8500-307171bcf3c5 · outbound

This paper cites Language model compression with weighted low-rank factorization.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Language model compression with weighted low-rank factorization

Reference 2015

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source=pdf_text observed=2026-08-03T06:01:14.604443Z digest=sha256:f575a95c989696734b757248d183778f0dfde54b514e0988c6b00669f44cf0f4

Observation 01152b58-0f48-4ae9-850d-20c1f6faab65 · outbound

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

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 2019

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source=pdf_text observed=2026-08-03T06:01:16.618421Z digest=sha256:7b108cad8005978b34d46bb11005c1d5db9b5897e88a7930b8efaf8c48244187

Observation 91f79404-9174-400f-a9d8-01b168986598 · outbound

This paper cites Flextron: Many-in-One Flexible Large Language Model.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Flextron: Many-in-One Flexible Large Language Model

Reference 2020

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source=pdf_text observed=2026-08-03T06:01:13.881845Z digest=sha256:016c36646e2a0d9bc0ce9eb7a0bf339fe6f9bb6830fa87fe04757bfa826af5e2

Observation b16cae58-9e92-49e2-a706-fdb6ed7c9286 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2021

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Observation 0a03cc55-811c-49ed-a3ba-78f7bbb90bbb · outbound

This paper cites The Llama 3 Herd of Models.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference The Llama 3 Herd of Models

Reference 2022

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source=pdf_text observed=2026-08-03T06:01:14.219460Z digest=sha256:f6c2fe60494b5fc28092fbcb4083659fba7d209950ad5b327ed2f05472cdb479

Observation 12fe74ee-5dea-4b09-b00c-008f5d16932e · outbound

This paper cites ReLoRA: High-Rank Training Through Low-Rank Updates.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference ReLoRA: High-Rank Training Through Low-Rank Updates

Reference 2023

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source=pdf_text observed=2026-08-03T06:01:15.043569Z digest=sha256:f915d441d60f8db5d6c5242100f5ee040fd65d6985a1dd012edd85ca43dc15d7

Observation 489a29cb-7857-4be1-bf98-15d8e6810e65 · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Extreme Compression of Large Language Models via Additive Quantization

Reference 2024

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Observation 50b9aa07-768c-42f6-9cf0-0597e68a80a2 · outbound

This paper cites A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 2025

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source=pdf_text observed=2026-08-03T06:01:16.872441Z digest=sha256:5db6dee42abf1670e6276e6a703327302495215518a015109c262ba42ae695be

Pith citing papers

Observation 248f106a-67c7-4a7b-bdda-dd75d36a5667 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference

Reference 125

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arxiv_id, observed 2026-06-01T02:02:25.893726Z

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