Paper Citation Record · LEDGER

Weak-to-Strong Generalization Through the Data-Centric Lens

As of 15 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 6 inbound Pith citation observations for arXiv:2412.03881.

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

pith.paper-citation-record.v1
2412.03881 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:28.573672Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:54.883268Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:25:20.628216Z

Reference resolution

69 of 69 outbound references displayed

verified exact2
verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4d6c86b-210c-4a09-8a41-053132bd67a8 · outbound

This paper cites Estimating example difficulty using variance of gradients.

Weak-to-Strong Generalization Through the Data-Centric Lens Estimating example difficulty using variance of gradients

Reference 1

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Source-reported events for the cited work

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Observation 950ca663-be40-4566-aeb6-d9b4fffc8867 · outbound

This paper cites Self-training: A survey, 2023.

Weak-to-Strong Generalization Through the Data-Centric Lens Self-training: A survey, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:29.178029Z

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Observation f645bbc8-e5d5-49ca-bb71-2a743904cc53 · outbound

This paper cites Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models.

Weak-to-Strong Generalization Through the Data-Centric Lens Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Reference 3

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Source-reported events for the cited work

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Observation 3b41d356-9467-4192-8b32-4f3a7a2fcd74 · outbound

This paper cites Pseudo-labeling and confirmation bias in deep semi-supervised learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Pseudo-labeling and confirmation bias in deep semi-supervised learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:29.169037Z

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Observation b5f902b4-f25c-4afb-b3b0-e19c95e7c220 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem, 2002.

Weak-to-Strong Generalization Through the Data-Centric Lens Finite-time analysis of the multiarmed bandit problem, 2002

Reference 5

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Source-reported events for the cited work

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Observation d58267de-baa8-48d6-9c72-66eee02692ff · outbound

This paper cites Deep learning through the lens of example difficulty.

Weak-to-Strong Generalization Through the Data-Centric Lens Deep learning through the lens of example difficulty

Reference 6

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Source-reported events for the cited work

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Observation 01f23d84-cd64-4446-b768-7cb2b2cda52a · outbound

This paper cites going on a vacation.

Weak-to-Strong Generalization Through the Data-Centric Lens going on a vacation

Reference 7

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Source-reported events for the cited work

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Observation 8633cbdf-1b34-49d1-a630-7b13a5284261 · outbound

This paper cites Combining labeled and unlabeled data with co-training.

Weak-to-Strong Generalization Through the Data-Centric Lens Combining labeled and unlabeled data with co-training

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:29.135444Z

Source-reported events for the cited work

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Observation 4ac66c5c-79be-4cdf-a65e-8ca1ad4e75e5 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Weak-to-Strong Generalization Through the Data-Centric Lens Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 9

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Source-reported events for the cited work

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Observation bca54106-8aa6-4a3b-b837-4622510e5a32 · outbound

This paper cites Compression, generalization and learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Compression, generalization and learning

Reference 10

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Source-reported events for the cited work

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Observation 49850d80-917b-4840-b04b-03f066ddb687 · outbound

This paper cites Quantifying the Gain in Weak-to-Strong Generalization.

Weak-to-Strong Generalization Through the Data-Centric Lens Quantifying the Gain in Weak-to-Strong Generalization

Reference 11

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Source-reported events for the cited work

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Observation 33ec3f6c-7025-4881-9d43-f9898831c423 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Weak-to-Strong Generalization Through the Data-Centric Lens Xgboost: A scalable tree boosting system

Reference 12

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Source-reported events for the cited work

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Observation 76cd98e5-99a5-4ffa-8c56-9e4ad4d153c7 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Weak-to-Strong Generalization Through the Data-Centric Lens Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 13

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Observation 648e4cac-afc3-4f8a-bdeb-8c4580849c87 · outbound

This paper cites Analysis of perceptron-based active learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Analysis of perceptron-based active learning

Reference 14

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Source-reported events for the cited work

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Observation e1c2b75e-623f-4060-bd72-ff7aaaf54b5b · outbound

This paper cites On the foundations of noise-free selective classification.

Weak-to-Strong Generalization Through the Data-Centric Lens On the foundations of noise-free selective classification

Reference 15

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Source-reported events for the cited work

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Observation bc5a7d92-2a34-4a56-9011-1efebda65744 · outbound

This paper cites Weak to strong generalization: Some theoretical perspectives.

Weak-to-Strong Generalization Through the Data-Centric Lens Weak to strong generalization: Some theoretical perspectives

Reference 16

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Source-reported events for the cited work

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Observation bdcfb884-3853-41ac-ad94-fe14a9acc5be · outbound

This paper cites Fu, Mayee F.

Weak-to-Strong Generalization Through the Data-Centric Lens Fu, Mayee F

Reference 17

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Source-reported events for the cited work

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Observation 32047a07-6564-4048-9ec8-f2eaa3377dd2 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Weak-to-Strong Generalization Through the Data-Centric Lens Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 18

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Observation fbafbba1-f280-486e-a20a-1b1acc90dac6 · outbound

This paper cites Selective classification for deep neural networks.

Weak-to-Strong Generalization Through the Data-Centric Lens Selective classification for deep neural networks

Reference 19

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Observation 75364cc0-5797-44c6-8e90-d79b327c28f2 · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Data shapley: Equitable valuation of data for machine learning

Reference 20

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Observation 24158d1d-ae4a-4f00-a3a7-638b3d0d9147 · outbound

This paper cites Theory of disagreement-based active learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Theory of disagreement-based active learning

Reference 21

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Observation 56287b44-a506-4507-a657-581c485b5cbf · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Cosmos qa: Machine reading comprehension with contextual commonsense reasoning

Reference 22

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Observation de6c1fd6-a961-4c1f-917a-f0045c1864da · outbound

This paper cites Data quality: A statistical perspective.

Weak-to-Strong Generalization Through the Data-Centric Lens Data quality: A statistical perspective

Reference 23

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Source-reported events for the cited work

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Observation 82bf581c-50fd-4a4a-a148-d89d32f526a1 · outbound

This paper cites Looking beyond the surface: A challenge set for reading comprehension over multiple sentences.

Weak-to-Strong Generalization Through the Data-Centric Lens Looking beyond the surface: A challenge set for reading comprehension over multiple sentences

Reference 24

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Observation 80c75805-19eb-46c9-936a-d9847918e126 · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Understanding black-box predictions via influence functions

Reference 25

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Observation 02d83d35-cf50-4a9a-b477-e781679d2ad4 · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Theoretical Analysis of Weak-to-Strong Generalization

Reference 26

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Observation ed12edeb-0431-4f72-ab64-9fd1b8be4a4a · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Bandit algorithms

Reference 27

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Observation 99b032c4-8d40-493d-a87d-943259d0b592 · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 28

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Observation ba30fc31-57dd-4200-95c4-e3dfdc1681fb · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens DataComp-LM: In search of the next generation of training sets for language models

Reference 29

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Weak-to-Strong Generalization Through the Data-Centric Lens Ling, Jun Du, and Zhi-Hua Zhou

Reference 30

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Observation 9056794b-660e-4f71-be36-34141a1eafa8 · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Teacher–student curriculum learning

Reference 31

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Observation ab4778f6-7fb9-4816-9abf-4416a37b2b3a · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens TSATC: Twitter Sentiment Analysis Training Corpus

Reference 32

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Weak-to-Strong Generalization Through the Data-Centric Lens Learning with noisy labels

Reference 33

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Weak-to-Strong Generalization Through the Data-Centric Lens Adversarial nli: A new benchmark for natural language understanding

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Weak-to-Strong Generalization Through the Data-Centric Lens An Overview of Deep Semi-Supervised Learning

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Weak-to-Strong Generalization Through the Data-Centric Lens Campi, and Simone Garatti

Reference 36

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Observation 62b4e035-7a5f-40d0-ab2b-764e3ac029f0 · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Wic: the word-in-context dataset for evaluating context-sensitive meaning representations

Reference 37

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Weak-to-Strong Generalization Through the Data-Centric Lens Unresolved cited work

Reference 38

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Weak-to-Strong Generalization Through the Data-Centric Lens Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher R\' e

Reference 39

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Weak-to-Strong Generalization Through the Data-Centric Lens Getting closer to AI complete question answering: A set of prerequisite real tasks

Reference 40

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Weak-to-Strong Generalization Through the Data-Centric Lens Social iqa: Commonsense reasoning about social interactions

Reference 41

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Weak-to-Strong Generalization Through the Data-Centric Lens Unresolved cited work

Reference 42

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Weak-to-Strong Generalization Through the Data-Centric Lens Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI

Reference 43

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Weak-to-Strong Generalization Through the Data-Centric Lens On tests for detecting change in mean

Reference 44

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Observation db16fb45-a894-446a-b437-1f7f1fa3b65e · outbound

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Weak-to-Strong Generalization Through the Data-Centric Lens Universalizing weak supervision

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Weak-to-Strong Generalization Through the Data-Centric Lens Manning, Andrew Ng, and Christopher Potts

Reference 46

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Weak-to-Strong Generalization Through the Data-Centric Lens A transfer learning framework for weak-to-strong generalization

Reference 47

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Weak-to-Strong Generalization Through the Data-Centric Lens Dream: A challenge data set and models for dialogue-based reading comprehension

Reference 48

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Weak-to-Strong Generalization Through the Data-Centric Lens Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

Reference 49

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Weak-to-Strong Generalization Through the Data-Centric Lens quartz: An open-domain dataset of qualitative relationship questions

Reference 50

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Weak-to-Strong Generalization Through the Data-Centric Lens Selective review of offline change point detection methods

Reference 51

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Observation d295052f-3d78-489c-9aa5-d23794c37465 · outbound

This paper cites High-dimensional statistics: A non-asymptotic viewpoint, volume 48.

Weak-to-Strong Generalization Through the Data-Centric Lens High-dimensional statistics: A non-asymptotic viewpoint, volume 48

Reference 52

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Weak-to-Strong Generalization Through the Data-Centric Lens Neural Network Acceptability Judgments

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This paper cites Theoretical analysis of self-training with deep networks on unlabeled data.

Weak-to-Strong Generalization Through the Data-Centric Lens Theoretical analysis of self-training with deep networks on unlabeled data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.853713Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d5cce02-ed17-45d1-bb88-4f1ba3239601 · outbound

This paper cites Crowdsourcing multiple choice science questions.

Weak-to-Strong Generalization Through the Data-Centric Lens Crowdsourcing multiple choice science questions

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.845144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d999cc0-924f-401b-92b1-27c85c2d0ee2 · outbound

This paper cites QuRating: Selecting High-Quality Data for Training Language Models.

Weak-to-Strong Generalization Through the Data-Centric Lens QuRating: Selecting High-Quality Data for Training Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.530674Z

Source-reported events for the cited work

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Observation 5dbefdfb-fbb2-44c9-9a5a-065134627a62 · outbound

This paper cites Less: Selecting influential data for targeted instruction tuning.

Weak-to-Strong Generalization Through the Data-Centric Lens Less: Selecting influential data for targeted instruction tuning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.836122Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5c509fd-dff8-4c53-8331-7e8e07a1a124 · outbound

This paper cites Data selection for language models via importance resampling.

Weak-to-Strong Generalization Through the Data-Centric Lens Data selection for language models via importance resampling

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.537299Z

Source-reported events for the cited work

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Observation de8a5fa6-24a8-4d8f-8394-24531396b3ea · outbound

This paper cites An empirical study of gpt-3 for few-shot knowledge-based vqa.

Weak-to-Strong Generalization Through the Data-Centric Lens An empirical study of gpt-3 for few-shot knowledge-based vqa

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.822437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81ff5e33-4ee0-4bc4-a8a1-850f2fedbcd3 · outbound

This paper cites Data valuation using reinforcement learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Data valuation using reinforcement learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.813329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6cd6050-51dd-4944-b93a-00a255c6ad91 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4791--4800, 2019.

Weak-to-Strong Generalization Through the Data-Centric Lens Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4791--4800, 2019

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.547127Z

Source-reported events for the cited work

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Observation 631b7f65-5e90-454b-8e55-f7d413a52936 · outbound

This paper cites WRENCH: A Comprehensive Benchmark for Weak Supervision.

Weak-to-Strong Generalization Through the Data-Centric Lens WRENCH: A Comprehensive Benchmark for Weak Supervision

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.550335Z

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Observation aee66676-60b2-4f3a-8f42-fbbe0d48536c · outbound

This paper cites Character-level convolutional networks for text classification.

Weak-to-Strong Generalization Through the Data-Centric Lens Character-level convolutional networks for text classification

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.553495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12fafef9-f42e-4771-93a3-076bf3d29c35 · outbound

This paper cites PAWS: Paraphrase Adversaries from Word Scrambling.

Weak-to-Strong Generalization Through the Data-Centric Lens PAWS: Paraphrase Adversaries from Word Scrambling

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:06:28.794503Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 171319c7-78d8-4b5c-8123-83981cfafae2 · outbound

This paper cites Introduction to semi-supervised learning.

Weak-to-Strong Generalization Through the Data-Centric Lens Introduction to semi-supervised learning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.559769Z

Source-reported events for the cited work

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Observation 47a3270b-ed86-452f-aa6d-772131819235 · outbound

This paper cites write newline.

Weak-to-Strong Generalization Through the Data-Centric Lens write newline

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.562721Z

Source-reported events for the cited work

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Observation 7562ef48-8783-4581-b261-db80fce7cc38 · outbound

This paper cites @esa (Ref.

Weak-to-Strong Generalization Through the Data-Centric Lens @esa (Ref

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.566663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ce8fb3-2778-4721-b6df-a19a6ddb9c67 · outbound

This paper cites an unresolved cited work.

Weak-to-Strong Generalization Through the Data-Centric Lens Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.570237Z

Source-reported events for the cited work

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Observation 32993403-9670-44ef-90c8-c59ca8b0b0f1 · outbound

This paper cites Then train f_ weak on \ P_w x_i, y_i\ _i , the projection of the dataset onto specifically the weak features.

Weak-to-Strong Generalization Through the Data-Centric Lens Then train f_ weak on \ P_w x_i, y_i\ _i , the projection of the dataset onto specifically the weak features

Reference 69

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:06:28.665510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 70eb9f4b-abb6-4140-beb2-222f4173d58e · inbound

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss cites this paper.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.883268Z

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Observation 6c85c4e4-2567-43ea-984d-0d1bb44a2adc · inbound

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions cites this paper.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.241318Z

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Observation 1e45dd7a-cf23-462b-a1eb-9261f073f4f1 · inbound

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T14:54:29.256834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e843004-0af7-4fe3-be69-01e3eb5782a1 · inbound

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension cites this paper.

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.630729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 92348f82-94a5-4dc3-8c70-e5a2229bc37e · inbound

On Weak-to-Strong Generalization and f-Divergence cites this paper.

On Weak-to-Strong Generalization and f-Divergence Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:47.157665Z

Source-reported events for the cited work

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Observation 803d91c1-3fc9-4c8a-be13-1ecd3b9620aa · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization Weak-to-Strong Generalization Through the Data-Centric Lens

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:36:08.585667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.