Pith. sign in

Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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.

source=arxiv_source observed=2026-08-11T13:08:43.886538Z digest=sha256:2a4bea56a713187795c441d451ce94e7eaf491dcfeb0e0289a866391e3b630a0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.938551Z digest=sha256:80f1602c76e31e54d6f789666565c698027f5358ad38d4793298db1b6b8388cb

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:43.947420Z digest=sha256:69f70dde314b4e1b08a527de7fd263fcc1086a6d25b31cd22773f65d2976d341

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.955299Z digest=sha256:2f3f163efd7bf2028abd92c2f0a465c0e0ed60502fc996c58ceec50d1c7cb2cd

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.963206Z digest=sha256:6851900d18b6b801d78888c6a326ac3b82cbcee19f75929640956c7eb9a75cb1

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.970986Z digest=sha256:b4c12f9244ef75eec10c46b0415c3572673e8156d9fc0b8168708ada3c518007

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.977961Z digest=sha256:ec23503b13fe281c6171e40f37003b067e75c860eaaeaa208e5eb49eba03948f

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.986062Z digest=sha256:b9194def2b29fd32aef7e779c5bd9d45efeeeabaf28cdcc65d2bb5b02e98dd29

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:43.995613Z digest=sha256:cfc35628331ff1ea03bbdcfa0f20995bf13603f9f23cb29480e87df00905601c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.007349Z digest=sha256:6c9839c898dbf069a062a2cbadeafaa347a7cdf4e1c87629c024664c06ce3a33

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.036019Z digest=sha256:a0f5f5c0d76f316323445db91a50d9d756ec43b68a8752fdc6c46f8b35d67030

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.071767Z digest=sha256:cd95ef0ec0c00ec0e62048b08f6653fa4438361d6da148c315f056c62e0bc0e0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.108077Z digest=sha256:820fb36817ba2b3386e8a2889a4a8132526f098a2f6876d107872e61ec3ee9b7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.158346Z digest=sha256:429023ac073881bbcabfe59b1faf6e00ea8c43d51df537de18ca7f68ff785209

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.166495Z digest=sha256:dc1254ef1383c84cbd83196a3fa7073d622261d870bb4ae94bbcd1334adb39e4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.175881Z digest=sha256:c274d550e3a4b2b77831a289636182ca6eb2321793c75e890e4d14b3ba2bef9a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.184507Z digest=sha256:c3625b08a4534d111fb5a60a205cd669c1099c96fed658e70bef5c7b63654d51

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.

source=arxiv_source observed=2026-08-11T13:08:44.192819Z digest=sha256:7b52ade14d14d598bc7bcd076902e8e9912ca58d589977846bc88bbe8f35684c

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.

source=arxiv_source observed=2026-08-11T13:08:44.201236Z digest=sha256:cdcbb30caa10ac493183c0555612fc88adb575d0fa55a72af9ffe188317ee91d

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.

source=arxiv_source observed=2026-08-11T13:08:44.270763Z digest=sha256:47dbbe68d2d8b4212e37423de451edab3513629d33a6e613003630bb4a887dbe

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.363545Z digest=sha256:13d41e21d834c12aaffba69b4bed37c5a99b1266b31864d6d771fc5f0a91bb4b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.409013Z digest=sha256:4b7861a57f7ced7bae9ef5d07b7eebf60cdc0903a7b90082434cc9544c20e210

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.

source=arxiv_source observed=2026-08-11T13:08:44.417263Z digest=sha256:a5386c46e519bce222473d21772be45cf8db84a8dc35f8f75059a2b0c16293a0

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.

source=arxiv_source observed=2026-08-11T13:08:44.425013Z digest=sha256:cce3dd825f422be2ac3a1b0b0d0e74c5f350fddb44e83cad0c893c29f6917943

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.432653Z digest=sha256:4ea49ff156f09b8b6c4f9ff3816e7bfc1a60047ee6b1ea9c39e9ca0d2c347b2b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.440453Z digest=sha256:48f584f9e7a3c9a11e7d3af276e492bd9fc4005264faebe5905b3e8119c5f1d3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.446544Z digest=sha256:0a50ad2a5f6b8f182186ff5e34e9b4e07f8c3f1d4aac4e34e0a5b35202dcb1e7

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.477140Z digest=sha256:d81eb37101e64bea0a9eb3772b8d339fd89421789042642a06df42e778293fac

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.509912Z digest=sha256:c631e33639b2421e9df1dc14cebebcff53eb815b1592ab9d268724ed3b585a4e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.547906Z digest=sha256:85f0fc45b31bf8d63cf37b550f38c394c96f6d156e57dc6778af161c358a38da

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.553681Z digest=sha256:a1765cd3ddfd9abf7b65a37b46f05657d4a16c8b24f240c14cec1166cdedd60c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.564056Z digest=sha256:0d50dd3f02fb63d557e1f32e9180f5e4132f8513d4d91d75063f65e5913964e6

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.572093Z digest=sha256:ac73e312b12e1cb6b252cf0ccb72b6f61fa10e79cbc7f1940d3b1ac350bd1fd5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.579420Z digest=sha256:c447ed1631f00226936763d2d2f965a78d1468022a5161fb0056e7467a036364

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.586290Z digest=sha256:6478034a11fb2ffa0a051c1304670badc70b7dc30799013076c4a01909fab10d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.595129Z digest=sha256:c50b1b3fcd6b109a671d481ad728079a4216efe756aeb2d42dfd97f820802eea

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.601629Z digest=sha256:057de72513e1622e90fe7933fe44b3455b3f710eb973ea096d1b7715ec50461b

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

This paper cites Hashimoto.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T13:08:44.611155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.611155Z digest=sha256:64b0d4d9e929f754fa48bc4cb0f7dee44405cb29031d46df1d5c256b8db793ee

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.711848Z digest=sha256:6f9457d6d9b5856dfc220ed3f4f2c4362b9f4fb16ceca98d73aebc69955a4c70

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.797442Z digest=sha256:fab702b5391912554ef6de8346dc261db3a15ab819a4a3594b1dfd2ec1fec5cd

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T13:08:44.894327Z digest=sha256:66546f36a1add451df36403010ec8f567acdbcdd8fe45691968f7d404d8fb7ea

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.

source=arxiv_source observed=2026-08-11T13:08:44.902467Z digest=sha256:61b71fbf495e404546d91dfc5cec4bb2d55e77097c551e0bcf4f146f57d7d3f1

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.

source=arxiv_source observed=2026-08-11T13:08:44.910387Z digest=sha256:d2b35e27a82330db2de4d0dc3812fa9503bbe71b6fc39d414e166e224c002acb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.917527Z digest=sha256:ce6ffc4f6226db330f4484459c4f43bc393c465f459d522cd4b73f3b407bc318

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.925209Z digest=sha256:6cbe61489c4e19abaa3716bd36c710967a860ee677896c3250247814f62be446

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:44.933146Z digest=sha256:d58a82cb88c1a9f55b7ac969dfc639d51594bd3c65f715bc05d3742e0f8dbc09

Pith citing papers

No inbound Pith citation observations are available.