Paper Citation Record · LEDGER

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 4 inbound Pith citation observations for arXiv:2502.00620.

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

pith.paper-citation-record.v1
2502.00620 v4

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:24:40.315345Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:48.315561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:40:24.869852Z

Reference resolution

55 of 55 outbound references displayed

verified exact2
verified fuzzy17
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b462616d-ad44-4a1a-aff6-d8ddd25d02c4 · outbound

This paper cites write newline.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.041550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81093135-1811-4529-b77c-43b1a131e698 · outbound

This paper cites Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.048724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0c71a7-e712-424b-8dfb-9179f7878fa6 · outbound

This paper cites Linear algebraic structure of word senses, with applications to polysemy.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Linear algebraic structure of word senses, with applications to polysemy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.166499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d16f1899-34a6-4d98-8125-ac42fcb66b36 · outbound

This paper cites Qwen Technical Report.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Qwen Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.060426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9632c612-9a80-4452-b7c9-8f125fb22add · outbound

This paper cites L., Long, P.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions L., Long, P

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.065777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e841806f-9535-4fec-bcc0-bebd3ff556d4 · outbound

This paper cites H., and Vaucher, A.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions H., and Vaucher, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.138043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0d03f51-3c94-4b44-95ab-959917a2386b · outbound

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

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.075782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad74230c-1c79-4c6c-9cc5-b99f1c8d1c2f · outbound

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

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Quantifying the Gain in Weak-to-Strong Generalization

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:24:40.659856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8219486-29e3-4cbe-97e3-f770041772fd · outbound

This paper cites Chembench: The molecule benchmarks and molmapnet datasets, September 2020.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Chembench: The molecule benchmarks and molmapnet datasets, September 2020

Reference 9

Resolution: verified exact; doi, observed 2026-08-09T18:24:40.356005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 028c8671-6201-4a59-ad6a-e23e9dca0d9f · outbound

This paper cites The componentwise distance to the nearest singular matrix.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions The componentwise distance to the nearest singular matrix

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.121024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c397b7ad-7487-4e3f-84fb-67de58e25868 · outbound

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

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.096565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000f19c7-61b6-40ac-932c-060efce2a294 · outbound

This paper cites Inversion error, condition number, and approximate inverses of uncertain matrices.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Inversion error, condition number, and approximate inverses of uncertain matrices

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.105152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55afc6d2-6da2-4504-828b-ee2e6d9ba036 · outbound

This paper cites Molecular representation learning with language models and domain-relevant auxiliary tasks.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.105691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 933acca7-7aae-4728-8c53-35a48883042c · outbound

This paper cites Sparse coding in the primate cortex.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Sparse coding in the primate cortex

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.088814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b673189-e89b-48e8-a6f8-0e23b71e5c67 · outbound

This paper cites S., and Bartlett, P.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions S., and Bartlett, P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.071553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1032421-2515-4eda-9463-d94bfee22c26 · outbound

This paper cites Aligning AI With Shared Human Values.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Aligning AI With Shared Human Values

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.120302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73fb5d2-99af-4090-b65d-bff01c533fde · outbound

This paper cites Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.125192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a13334-7098-4e3f-8f88-440dc4349b38 · outbound

This paper cites The Low-Rank Simplicity Bias in Deep Networks.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions The Low-Rank Simplicity Bias in Deep Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.130731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930c3bce-778f-47e5-8b3b-fbca1806e725 · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Neural tangent kernel: Convergence and generalization in neural networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.136316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175c0208-7050-4adb-b8bf-bb3d7a761b84 · outbound

This paper cites Implicit regularization of random feature models.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Implicit regularization of random feature models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.041732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd51f9ee-b855-4acd-b4d5-d8d2b346a944 · outbound

This paper cites The power of contrast for feature learning: A theoretical analysis.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions The power of contrast for feature learning: A theoretical analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:41.025546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36de01a5-e4b6-4387-aab9-d13edc872250 · outbound

This paper cites an unresolved cited work.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:24:41.008495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 024ae0dd-7406-4262-82bd-155bb6a96264 · outbound

This paper cites Sgd on neural networks learns functions of increasing complexity.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Sgd on neural networks learns functions of increasing complexity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.991131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad21b0ee-8129-42d9-9c53-8b7c5e20e123 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Adam: A Method for Stochastic Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.160525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36925be2-4f52-4483-a571-9f7d565d8896 · outbound

This paper cites Theoretical Analysis of Weak-to-Strong Generalization.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Theoretical Analysis of Weak-to-Strong Generalization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.165710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092d2ad1-aaf2-4ba1-be18-c7215c1d3855 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.170795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334e9e4d-706f-4b1c-826f-12b458519408 · outbound

This paper cites Sparse modeling for image and vision processing.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Sparse modeling for image and vision processing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.975172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b05e995-c4c0-414b-b0b6-7ebaf251426d · outbound

This paper cites A kernel-based view of language model fine-tuning.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions A kernel-based view of language model fine-tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.181786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98db7fd7-19ee-450c-bfa3-f1f0e6340c70 · outbound

This paper cites Benign, tempered, or catastrophic: Toward a refined taxonomy of overfitting.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Benign, tempered, or catastrophic: Toward a refined taxonomy of overfitting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.947282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4a621db-b73e-4f32-95ed-a358554a4d11 · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.191377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da335697-5870-4c41-8daf-7a18540c0d96 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions MTEB: Massive Text Embedding Benchmark

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.196486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8dcd912-af51-4c2c-9fc6-4996c6a70fb2 · outbound

This paper cites Classification vs regression in overparameterized regimes: Does the loss function matter? Journal of Machine Learning Research, 22 0 (222): 0 1--69, 2021.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Classification vs regression in overparameterized regimes: Does the loss function matter? Journal of Machine Learning Research, 22 0 (222): 0 1--69, 2021

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.201442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b31c5d-c7bd-4946-bde4-4c942296ed05 · outbound

This paper cites I., Deng, Z., Ji, W., Zou, J., and Zhang, L.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions I., Deng, Z., Ji, W., Zou, J., and Zhang, L

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.919561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2d7b254-970a-4ac9-94af-cb0d55c4bae7 · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.211172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25b341e-f7be-4f8b-9f7f-3719dfc7f894 · outbound

This paper cites an unresolved cited work.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.216582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 530494e7-0eb9-4844-91c2-b2e64ebd1d15 · outbound

This paper cites an unresolved cited work.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:24:40.892507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff899ffc-88ba-422b-8688-968b300b3cbf · outbound

This paper cites Convolutional neural networks analyzed via convolutional sparse coding.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Convolutional neural networks analyzed via convolutional sparse coding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.876199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab786217-e384-4cef-bef9-f5183ecac942 · outbound

This paper cites Multi-scale feature learning dynamics: Insights for double descent.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Multi-scale feature learning dynamics: Insights for double descent

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.859485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bab086c7-ae2a-4b52-847a-ddf4a823d82b · outbound

This paper cites Data augmentation as feature manipulation.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Data augmentation as feature manipulation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.236389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Weak-to-Strong Generalization Through the Data-Centric Lens.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297c14f0-ddb1-4270-ad56-e3ea7d5c2825 · outbound

This paper cites A transfer learning framework for weak-to-strong generalization.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions A transfer learning framework for weak-to-strong generalization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.246609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26bf7187-8367-4a04-8024-d05186dc1a79 · outbound

This paper cites an unresolved cited work.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.251499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1b03f0-05b2-4817-aacd-aba2a3f75719 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions High-dimensional probability: An introduction with applications in data science, volume 47

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.256688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84dcbb6-6df5-404d-9250-399e7e971f9a · outbound

This paper cites an unresolved cited work.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.261476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29dcff4-b6fe-427c-9789-fab2ce9d4f5f · outbound

This paper cites Benign overfitting in multiclass classification: All roads lead to interpolation.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Benign overfitting in multiclass classification: All roads lead to interpolation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.799525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c589006-4449-40c9-9cee-34559cc3eced · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Crowdsourcing Multiple Choice Science Questions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.271220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26cd9012-f95c-4903-801a-c5a24fe36978 · outbound

This paper cites and Li, Y.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions and Li, Y

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.276258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f142382f-0371-44b3-863e-15f50b0331aa · outbound

This paper cites Provable Weak-to-Strong Generalization via Benign Overfitting.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Provable Weak-to-Strong Generalization via Benign Overfitting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.281155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c53893f-93af-4937-9dd2-3e5d81eb3b6e · outbound

This paper cites N., Gomes, J., Geniesse, C., Pappu, A.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions N., Gomes, J., Geniesse, C., Pappu, A

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.286318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15fc0df6-1dd4-4def-8923-ae21c344ef35 · outbound

This paper cites Which features are learnt by contrastive learning? on the role of simplicity bias in class collapse and feature suppression.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Which features are learnt by contrastive learning? on the role of simplicity bias in class collapse and feature suppression

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.762223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fa3d02a-5bc0-41a8-91d1-327831dfa099 · outbound

This paper cites Linear spatial pyramid matching using sparse coding for image classification.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Linear spatial pyramid matching using sparse coding for image classification

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:24:40.745709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb96c572-3c08-4c88-8b62-98c184873594 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Understanding deep learning (still) requires rethinking generalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.300748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f30af6-0f27-432b-b8af-c0b3a6b3f27f · outbound

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

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Character-level convolutional networks for text classification

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.305406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633e648d-a5ff-4f82-aeaf-7abc2948cff5 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Representation Engineering: A Top-Down Approach to AI Transparency

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.310183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3862328-9605-471c-b4de-0ad06180f3ed · outbound

This paper cites Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.315345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 81ec8b57-3f57-4fc3-9cb2-2abcabc0f840 · inbound

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

On Weak-to-Strong Generalization and f-Divergence Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:48.315561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37234fe-e2f6-4053-b4d1-d3031fd63719 · 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 Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:36:08.656531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 617ece9a-2073-4d9e-97eb-415f419273d0 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:56.037707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4afd1487-5f3f-4501-89b6-27be0b581b78 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.872274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.