Paper Citation Record · LEDGER

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.10543.

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

pith.paper-citation-record.v1
2411.10543 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:41:46.626449Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy2
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0c01d9d-a4d0-4876-be87-b61d7de15e6c · outbound

This paper cites online" 'onlinestring :=.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.535198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53208383-8328-4fb5-9942-e0f1e94259ec · outbound

This paper cites write newline.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.539525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be780af1-04ff-4f7d-9020-72dadf52b25d · outbound

This paper cites https://pythonhosted.org/nvidia-ml-py/.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism https://pythonhosted.org/nvidia-ml-py/

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:46.975562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de19c2f2-de55-43d3-9ce8-40fdde50446b · outbound

This paper cites https://blog.salesforceairesearch.com.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism https://blog.salesforceairesearch.com

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:41:46.966881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2db0ac54-9c4c-4273-8b14-ab54d812d465 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism QLoRA: Efficient Finetuning of Quantized LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.549176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87073638-ac84-4d4c-9486-da3df337b538 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.553050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25a4cc5-8d52-4ed5-bbc7-c468ed0e0db0 · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.556963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6ed768-daef-4f2d-a779-43eed045f30c · outbound

This paper cites Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.559981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35619af1-e926-41df-9d18-ce5de5d0d4c0 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.563651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3583d3ef-f786-45c2-8e56-f2184dad2b87 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.566955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e62996-011e-4c30-a2f8-5b410510ccec · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Learning both Weights and Connections for Efficient Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.570146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29da7c40-b3e9-4778-81d2-b398182951a7 · outbound

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

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Language model compression with weighted low-rank factorization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.573271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375ae6ea-6899-44ae-8adb-99d705d2292e · outbound

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

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.576548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e1faaf-9038-46d6-8ab9-b90fc8d7a6e3 · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.579762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5410116c-51b1-4fdb-9a4b-5d2d91e2371c · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:41:46.953451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7f9a587-5702-42ee-bad7-fec7905f61ed · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.585490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5280fac3-e7b2-4073-9814-da51ecb48e69 · outbound

This paper cites Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, and Bhuvana Ramabhadran.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Sainath, Brian Kingsbury, Vikas Sindhwani, Ebru Arisoy, and Bhuvana Ramabhadran

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.588399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94712f74-dcaa-4307-9eb4-40e68b3b0ea4 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.591238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c120b108-5d53-429d-8b33-9c547c4196aa · outbound

This paper cites Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:41:46.802828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75c20bf1-b3b6-45c4-a226-7c581ab092d3 · outbound

This paper cites Patient Knowledge Distillation for BERT Model Compression.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Patient Knowledge Distillation for BERT Model Compression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.597859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b53cfa7-abc3-4f56-b8b4-4c3c10946d39 · outbound

This paper cites Attention Is All You Need.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Attention Is All You Need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.600780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 857d9ae7-734c-4408-b7f7-1f217d2390f8 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.603878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5248b4a5-70a9-4b2e-a60f-88ab891133d2 · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.607038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f02d61-2f8a-4cf4-9340-877aee94bdec · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.610038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72506a2b-16e7-4c14-b94a-7fa744348646 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.614176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e20103-cff7-4755-9939-9bbee6b7c4c7 · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.617286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f97ff41-ae0a-4e16-a9d5-a0cd8ddd949c · outbound

This paper cites an unresolved cited work.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:41:46.938962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef2d8b76-4b47-43a9-ab80-d8b434196554 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism TinyLlama: An Open-Source Small Language Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.623282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 156e1460-849b-4149-9457-1c684f96e195 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.626449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.