Paper Citation Record · LEDGER

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.00038.

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

pith.paper-citation-record.v1
2507.00038 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:48.595357Z

measured 44 of 44 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 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

44 of 44 outbound references displayed

verified exact5
verified fuzzy12
unresolved21
parse uncertain0
malformed identifier3
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External citation measurements

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Outbound references

Observation f2e93db1-97ac-4af7-acbe-46dd8f7ee32a · outbound

This paper cites A Survey on Data Quality Dimensions and Tools for Machine Learning.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Survey on Data Quality Dimensions and Tools for Machine Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.136135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6fcaede-ccc3-4c2d-8382-35b1341f8967 · outbound

This paper cites In Proceedings of the SmartCom 2024, Pune, India, 12 –13 January 2024 ; Volume 1, SpringerLink.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information In Proceedings of the SmartCom 2024, Pune, India, 12 –13 January 2024 ; Volume 1, SpringerLink

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T23:51:49.493515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90da6005-12a5-49d3-bde9-9d28cb06e536 · outbound

This paper cites CrossWeigh: Training Named Entity Tagger from Imperfect Annotations.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T23:51:49.328115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35ba8ea7-9372-4002-aa02-213c4824b287 · outbound

This paper cites Confident Learning: Estimating Uncertainty in Dataset Labels.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.348269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57fc65fd-1e6e-48f7-8696-6b4475a25ee6 · outbound

This paper cites Learning From Noisy Labels With Deep Neural Networks: A Survey.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Learning From Noisy Labels With Deep Neural Networks: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.419712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72553e6-b8a9-4f6b-8997-552e3d2079bb · outbound

This paper cites Data Quality Considerations for Big Data and Machine Learning: Going Beyond Data Clean- ing and Transformations.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Data Quality Considerations for Big Data and Machine Learning: Going Beyond Data Clean- ing and Transformations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.657084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e00f20d-b86c-4c89-9e01-3217eb687411 · outbound

This paper cites Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:51:49.144334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2177def0-63d6-4935-a979-f409263e4f24 · outbound

This paper cites A Data-Centric Approach to Improve Performance of Deep Learning Models.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Data-Centric Approach to Improve Performance of Deep Learning Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.661467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cf5ff5-cd80-4702-a76e-0d7f3547426a · outbound

This paper cites An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:51:45.737130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecee2159-2c65-46c2-9c07-4724d9012e07 · outbound

This paper cites A Comprehensive Survey of Dataset Distillation.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Comprehensive Survey of Dataset Distillation

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:51:50.598589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb3a7525-7df1-40b0-ab72-773065a40ea6 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Training Compute-Optimal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.880798Z

Source-reported events for the cited work

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Observation c677b6a6-bc89-4cc8-99ea-5d2ddf41c7e4 · outbound

This paper cites Dataset Difficulty and the Role of Inductive Bias.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Dataset Difficulty and the Role of Inductive Bias

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:45.953781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19446e99-cfe3-45bb-9759-6ca9551283a4 · outbound

This paper cites Deep Learning Through the Lens of Example Difficulty.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Deep Learning Through the Lens of Example Difficulty

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.498002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c009c363-0808-4771-9512-ac87d69d8ef0 · outbound

This paper cites Characterising Bias in Compressed Models.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Characterising Bias in Compressed Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.110585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6685146-bb1a-4b1d-869b-2143b53a65b5 · outbound

This paper cites Learning Sample Difficulty from Pre-Trained Models for Reliable Prediction.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Learning Sample Difficulty from Pre-Trained Models for Reliable Prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.339745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a6964fe-2171-4e45-8a9e-7c4b6ec5c2d9 · outbound

This paper cites How Hard Are Computer Vision Datasets? Calibrating Dataset Difficulty to Viewing Time.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information How Hard Are Computer Vision Datasets? Calibrating Dataset Difficulty to Viewing Time

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.158174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ff7869a-3a01-4ec5-97ce-41f3c772ca14 · outbound

This paper cites Statistical Dataset Evaluation: Reliability, Difficulty, and Validity.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.334675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a87efaa-30d3-4b6f-8a80-c20fef5c48c3 · outbound

This paper cites Understanding Dataset Difficulty with V-Usable Information.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Understanding Dataset Difficulty with V-Usable Information

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:52.015805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe636bf9-d67f-421a-afcd-4ac0708b2e8d · outbound

This paper cites Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.859648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da96e2dd-ab68-4eae-92dd-b09b49815775 · outbound

This paper cites Do ImageNet Classifiers Generalize to ImageNet? In Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, USA , 24 May 2019; pp.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Do ImageNet Classifiers Generalize to ImageNet? In Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, USA , 24 May 2019; pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.665739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ff5b469-8a84-4267-82aa-f8a14ff214ad · outbound

This paper cites Natural Adversarial Examples.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Natural Adversarial Examples

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.642010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811f8a60-0040-49f3-a384-f1c47a0440ab · outbound

This paper cites The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.551693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19ad2287-a94b-4a33-9dad-93be97725d74 · outbound

This paper cites CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:51:50.335050Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf2c1402-4746-4b6c-9f6c-a721d0ce3b41 · outbound

This paper cites Natural Language Reasoning, A Survey.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Natural Language Reasoning, A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.869091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf0dd91-3ed0-405b-bc82-16d993b914c3 · outbound

This paper cites A Theory of Usable Information Under Computational Constraints.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Theory of Usable Information Under Computational Constraints

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.359755Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76bf2cce-08ce-491f-9b11-546ba6665b8f · outbound

This paper cites A Mathematical Theory of Communication.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Mathematical Theory of Communication

Reference 26

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Source-reported events for the cited work

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Observation 559e3d74-ee74-4edc-b5f4-6d1f67be088a · outbound

This paper cites Pre-Training With Whole Word Masking for Chinese BERT.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Pre-Training With Whole Word Masking for Chinese BERT

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:51:50.050873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3c30675-5924-4cf3-8650-c33564400cb8 · outbound

This paper cites BERT: Pre-Training of Deep Bidirectional Transformers for Language Under- standing.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information BERT: Pre-Training of Deep Bidirectional Transformers for Language Under- standing

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:51:47.224432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1568ca-0fb7-4854-81e1-0d87f315364a · outbound

This paper cites Revisiting Pre-Trained Models for Chinese Natural Language Processing.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf3f037-a399-41fe-89fa-91639ec8d105 · outbound

This paper cites Progressive Learning: A Deep Learning Framework for Continual Learning.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Progressive Learning: A Deep Learning Framework for Continual Learning

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T23:51:48.845759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a7b473b-7fed-4532-9ca7-a188821aae0a · outbound

This paper cites Cross-Entropy Loss Functions: Theoretical Analysis and Applications.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.220883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afc632e7-4270-46c0-ab09-7fa29fac9e20 · outbound

This paper cites Understanding Transformers via N-Gram Statistics.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Understanding Transformers via N-Gram Statistics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:51.019605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1db8e1aa-87d1-4c89-8a4a-ccdb660e5e10 · outbound

This paper cites Qwen3 Technical Report.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Qwen3 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:47.680094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9b1575-5487-4078-a352-5e62f44c4466 · outbound

This paper cites OCNLI: Original Chinese Natural Language Inference.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information OCNLI: Original Chinese Natural Language Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:47.743789Z

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Observation 8942e541-557d-4d90-9cfe-e6f2418a111a · outbound

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Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information CLUE: A Chinese Language Understanding Evaluation Benchmark

Reference 35

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Unavailable: canonical work link unavailable.

Observation d46183a9-a5a6-4ac2-9e49-30f9872aa9cc · outbound

This paper cites XNLI: Evaluating Cross-Lingual Sentence Representations.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information XNLI: Evaluating Cross-Lingual Sentence Representations

Reference 36

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Unavailable: canonical work link unavailable.

Observation b025c9e1-ad43-409b-b2ae-cdf415915c3c · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2275752a-5baf-431a-886b-c8c880fe9361 · outbound

This paper cites Annotation Artifacts in Natural Language Inference Data.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Annotation Artifacts in Natural Language Inference Data

Reference 38

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Source-reported events for the cited work

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Observation 43068e36-80db-4997-acc3-a327eccab3a2 · outbound

This paper cites Sexism Detection on a Data Diet.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Sexism Detection on a Data Diet

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:51:49.763617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5572fed-d1d8-421f-afe8-bfba04f75597 · outbound

This paper cites Deep Learning on a Data Diet: Finding Important Examples Early in Training.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Deep Learning on a Data Diet: Finding Important Examples Early in Training

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:48.265454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ac62da-1c7f-4189-b086-2b62004dac0e · outbound

This paper cites Estimating Example Difficulty Using Variance of Gradients.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Estimating Example Difficulty Using Variance of Gradients

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:48.328470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97300c77-3f24-4868-bbd1-4a672ffa0ed8 · outbound

This paper cites Estimating Training Data Influence by Tracing Gradient Descent.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Estimating Training Data Influence by Tracing Gradient Descent

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:50.854209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 695869ff-5e1b-4dde-8d48-9c869284d47c · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:48.521674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2cea8f0-b380-4304-84e9-9b08ee841a6f · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:48.595357Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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