Paper Citation Record · LEDGER

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.13488.

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

pith.paper-citation-record.v1
2412.13488 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:08:44.933146Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

46 of 46 outbound references displayed

verified exact0
verified fuzzy1
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2159657d-2a9b-4b7a-ad0d-a983948562c1 · outbound

This paper cites online" 'onlinestring :=.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.886538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d587fa-b9d0-4244-bc37-87c0c2b8cddb · outbound

This paper cites write newline.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.938551Z

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Observation 3ba99d20-13bd-42d3-8870-bbedc79a649f · outbound

This paper cites https://www.amd.com/en/products/accelerators/instinct/mi300.html.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models https://www.amd.com/en/products/accelerators/instinct/mi300.html

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:08:46.811594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9416622-6e64-4203-b7fa-15319359874e · outbound

This paper cites Composable Sparse Fine-Tuning for Cross-Lingual Transfer.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.955299Z

Source-reported events for the cited work

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Observation c3bb3309-b44d-42d7-bbcf-5355f24807fc · outbound

This paper cites Program Synthesis with Large Language Models.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.963206Z

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Observation 7d0aaeac-8a9c-4001-a27c-7a38def01a55 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.970986Z

Source-reported events for the cited work

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Observation 4e648c15-2cb4-45b1-b151-e25cc280dd6e · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.977961Z

Source-reported events for the cited work

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Observation 69ecb653-ba1f-4dc4-9f2e-8cbfcad26b45 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:43.986062Z

Source-reported events for the cited work

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Observation b25bd934-da3b-4f19-b27a-40ab274809f5 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.757253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0edb2456-eba7-49ec-8ecd-2d64f90deb80 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.721649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd6edc2e-fe9e-428c-9cf2-6665d341eda2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.036019Z

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Observation 420d26a3-864e-42e0-a457-790519ffc06c · outbound

This paper cites Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.071767Z

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Observation f3a1b39a-7270-4d9a-9038-b09a97b483ee · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.653130Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c04fa806-6e6e-444e-b0c0-6fb759f623ee · outbound

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

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.158346Z

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Observation 1fd2b719-6ec1-43c6-b7c2-90e51135841d · outbound

This paper cites Dolan and Chris Brockett.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Dolan and Chris Brockett

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.166495Z

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Observation ae27d535-a7c8-409d-86d4-02e9b32d273e · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.609238Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40dbb497-8295-4922-bf2a-ea6f0e4f3507 · outbound

This paper cites The Llama 3 Herd of Models.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.184507Z

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Observation a786ad46-16c8-4aab-b800-be76e2c6ae7e · outbound

This paper cites Parameter-Efficient Transfer Learning with Diff Pruning.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Parameter-Efficient Transfer Learning with Diff Pruning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.192819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b26195-4d31-46fb-aeb0-6b151242b7e6 · outbound

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

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.201236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d967add3-3c2a-4459-842e-f3a01dbe422e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Measuring Massive Multitask Language Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.270763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b518c8b9-bde3-4890-91dd-8def499193bd · outbound

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

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.363545Z

Source-reported events for the cited work

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Observation 595ee46e-efbe-49fc-a648-8f9ba8c9b334 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.503029Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation acee3235-c3ad-40ef-afc3-5377c8c3b31d · outbound

This paper cites OpenAssistant Conversations -- Democratizing Large Language Model Alignment.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.417263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5641c4-d03d-4304-af14-bcd851f47080 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.425013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a738634-c189-463c-a88b-7b4907c969b9 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.432653Z

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Observation b53dfac0-84e9-410e-a4b1-1d330fe4e6a2 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.422270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c99056b-e021-49ba-ad84-7e59dcbae68b · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.446544Z

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Observation c7bee93d-6b39-4f0c-9aef-4c15747b1c31 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.386924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2deea00-573a-4069-aa60-eafd92701cf1 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.509912Z

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Observation 00258c3e-efe1-41b2-8911-359b6dcebd2e · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.547906Z

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Observation c3c788a1-5430-4572-b765-0e934e9ff1a5 · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.553681Z

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Observation 2d5ab9d4-e75d-47bd-a4ef-fa270f7e0472 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.291912Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b1e9760-afd7-4679-b7b1-fae5cd176150 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.216675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3cde09d5-c9b7-43d6-8ea8-df87b14bdfce · outbound

This paper cites Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.579420Z

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Observation 96830ecd-fa77-4af8-944d-331b072010f3 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.177611Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 751db91f-c272-4e1a-bc50-1052757f6980 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.104909Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d460b70-7929-4360-923e-8754b63a4818 · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:46.064686Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc6f652a-5ceb-49a6-832d-45f862509ebe · outbound

This paper cites Hashimoto.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Hashimoto

Reference 38

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Observation cc2f1e2f-8ac5-46c9-99ca-917f3fc6c123 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.711848Z

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Observation bc2e8def-2054-4aac-a4f7-1044641597a2 · outbound

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

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.797442Z

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Observation 669cd79e-7205-4e85-bd95-b36f437ce94c · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:08:45.997279Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bcc2531d-3ab9-4ae3-b0be-86e76e8cd7ee · outbound

This paper cites an unresolved cited work.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.902467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306d8cd4-1e53-47ee-8762-65966a468240 · outbound

This paper cites Qwen2 Technical Report.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Qwen2 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.910387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5deaa6-980e-4f1e-be74-e6322fc5a8fe · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.917527Z

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Observation 8c7f400d-ecd8-4e4f-bd07-7bd56adc46af · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models OPT: Open Pre-trained Transformer Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.925209Z

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Unavailable: canonical work link unavailable.

Observation dd6de7a9-09d4-4921-afa7-57ed09be6e0b · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T13:08:44.933146Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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