Paper Citation Record · LEDGER

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 6 inbound Pith citation observations for arXiv:2501.19105.

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

pith.paper-citation-record.v1
2501.19105 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:54.966837Z

measured 70 of 70 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:55.435466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:40:24.874593Z

Reference resolution

64 of 64 outbound references displayed

verified exact9
verified fuzzy18
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62981643-d750-441c-9d44-fe28cf80f9cf · outbound

This paper cites Some new estimates of the ‘jensen gap’.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Some new estimates of the ‘jensen gap’

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.665154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196f89a5-e62c-4281-b5c7-27d548b12549 · outbound

This paper cites Information geometry and its applications , volume 194.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Information geometry and its applications , volume 194

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.670659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 369efb80-5da1-4b40-8e82-c6681833e2f8 · outbound

This paper cites Springer International Publishing, 2017.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Springer International Publishing, 2017

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.677095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0399e4ec-e7bc-4aaa-a007-2662f6c93789 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.682250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 139766e7-84ba-42c3-91e7-ecb7a8333c7b · outbound

This paper cites Construction of best bregman approximations in reflexive banach spaces.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Construction of best bregman approximations in reflexive banach spaces

Reference 5

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.104451Z

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 892c469f-1b56-4826-806c-34ab4328a46d · outbound

This paper cites Bauschke, Jonathan M.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Bauschke, Jonathan M

Reference 6

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.088500Z

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 a092cd05-7aed-4e89-91ad-4a57fd9ed918 · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Combining labeled and unlabeled data with co-training

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.320941Z

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 86cb4b58-2c4d-45c6-8318-c2475952e9f4 · outbound

This paper cites The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.305938Z

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 99d16700-8149-4b61-ada7-1f0d16188a44 · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.706764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88d9bf5-1682-4319-82b2-27e12d09fe31 · outbound

This paper cites Redundant axioms in the definition of bregman functions.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Redundant axioms in the definition of bregman functions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.290459Z

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 c68af45b-b0fb-4a9e-b5ea-a4fbb62bd56a · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Emerging properties in self-supervised vision transformers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.274199Z

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 8f4fc928-3ac2-4ff7-8a81-6235d1199d8d · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Quantifying the Gain in Weak-to-Strong Generalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.720903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84265ecb-fdd3-42f5-95b5-9eb8a3762c70 · outbound

This paper cites Convergence analysis of a proximal-like minimization algorithm using bregman functions.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Convergence analysis of a proximal-like minimization algorithm using bregman functions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.725708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ba81dc-926d-42e5-a886-d2ea4232e3b6 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.730265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58889e28-44e6-4ecb-919b-c08cfbf8afad · outbound

This paper cites Schapire, and Yoram Singer.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Schapire, and Yoram Singer

Reference 15

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.063886Z

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 ef27e553-ff8f-4d08-8946-a2dce48eaebb · outbound

This paper cites Pac generalization bounds for co-training.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Pac generalization bounds for co-training

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.256615Z

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 b2ef09fd-3bd3-40f4-8c78-3e4e22924d2b · outbound

This paper cites an unresolved cited work.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:24:56.241008Z

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 eaae93f4-cdbf-4b11-ba49-aff0cf6265fe · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.749071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87a2b223-e252-4b2e-a579-2e9878386e68 · outbound

This paper cites Weak-to-strong generalization.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Weak-to-strong generalization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.225757Z

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 3f19bb29-cbaf-4bc5-943a-115bc675c6ad · outbound

This paper cites Ekeland and R.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Ekeland and R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.210225Z

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 3ac2c9bc-b869-4bc5-a0e4-c2bf732d26b4 · outbound

This paper cites Topics in convex optimisation.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Topics in convex optimisation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.195303Z

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 336e6fbf-23fa-4838-a1ac-562a4fbbe47f · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.767405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 026f2932-429d-44eb-8bc6-ecf7b3d5a63a · outbound

This paper cites Bounds on the Jensen Gap, and Implications for Mean-Concentrated Distributions.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Bounds on the Jensen Gap, and Implications for Mean-Concentrated Distributions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.772031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560e566a-61f0-4751-864f-eadf360f39de · outbound

This paper cites Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.776557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc7d280-e3db-47c4-9e25-7320d5579753 · outbound

This paper cites Deep residual learning for image recognition.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Deep residual learning for image recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.781451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6189208f-d90e-49ee-b003-5c4455107813 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Distilling the Knowledge in a Neural Network

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.785718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58288073-8ef6-4e43-b493-e7c1733dfde2 · outbound

This paper cites Bounding jensen’s gap: Elementary approaches.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Bounding jensen’s gap: Elementary approaches

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-09T21:24:55.792511Z

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 00433f09-1137-4721-a1d3-edbe0f0dc932 · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.794569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23efeb91-8e79-4ecd-824a-d43630ac8bb8 · outbound

This paper cites High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.799279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444ac8cd-d294-49ee-a8be-5b21bf515177 · outbound

This paper cites Aligner: Efficient Alignment by Learning to Correct.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Aligner: Efficient Alignment by Learning to Correct

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.804235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aadeab99-1cb6-4bcb-b831-3bd1aeb54b1a · outbound

This paper cites The jensen’s gap and comparison of f-divergences.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss The jensen’s gap and comparison of f-divergences

Reference 31

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.049101Z

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 57d285e8-fc46-4633-8516-9f25ea5767c6 · outbound

This paper cites Learning multiple layers of features from tiny images.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Learning multiple layers of features from tiny images

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.813931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3f790f-4b5a-4993-a76c-6ef20d3d28fa · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Imagenet classification with deep convolutional neural networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.818387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd1921a-70dc-43ae-b0ba-75bb78ce7a66 · outbound

This paper cites On information and sufficiency.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss On information and sufficiency

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.822857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85da985f-049b-4bbf-bc24-86125e99fc6f · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Theoretical Analysis of Weak-to-Strong Generalization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.827813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19209a6f-fe21-4dfc-af0c-2c0d9936908a · outbound

This paper cites Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.832810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90883401-57d5-411a-bdc9-94240e823720 · outbound

This paper cites Hidden factors and hidden topics: understanding rating dimensions with review text.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Hidden factors and hidden topics: understanding rating dimensions with review text

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.139640Z

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 7a7f9616-dda3-4f17-923d-418644f9cef3 · outbound

This paper cites Self-distillation amplifies regularization in hilbert space.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Self-distillation amplifies regularization in hilbert space

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.124453Z

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 26bc2eaf-0296-4af4-a485-a5dc84f00a6d · outbound

This paper cites On student-teacher deviations in distillation: does it pay to disobey? Advances in Neural Information Processing Systems, 36:5961–6000, 2023.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss On student-teacher deviations in distillation: does it pay to disobey? Advances in Neural Information Processing Systems, 36:5961–6000, 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.109175Z

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 b16062b0-62fd-4957-84a5-49bda54bd9bc · outbound

This paper cites Introducing Superalignment.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Introducing Superalignment

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.094289Z

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 187c0b25-51c0-43c8-9fa3-ee1acfbb8d65 · outbound

This paper cites A modern introduction to online learning, 2023.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss A modern introduction to online learning, 2023

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.079506Z

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 cd8946a3-a4f7-4fb2-8b93-54daf4cb1e91 · outbound

This paper cites Understanding the Gains from Repeated Self-Distillation.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Understanding the Gains from Repeated Self-Distillation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.860380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3142e0-4630-4ea0-bd3d-0a35cb884578 · outbound

This paper cites Language models are unsupervised multitask learners.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Language models are unsupervised multitask learners

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.865384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216e2306-0915-4a6b-a3b2-8067c3563827 · outbound

This paper cites Re-examination of bregman functions and new properties of their divergences.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Re-examination of bregman functions and new properties of their divergences

Reference 44

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:24:55.514372Z

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 8710a7be-76d2-47f2-a411-6e5bc6f05908 · outbound

This paper cites Rockafellar.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Rockafellar

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.054732Z

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 0431fe62-56ce-41ff-a62c-a74211c85c25 · outbound

This paper cites Berg, and Li Fei-Fei.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Berg, and Li Fei-Fei

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.878688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ad1958-d316-4703-8c78-a2202f7fc8d7 · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss A transfer learning framework for weak-to-strong generalization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.887987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42aa728-a252-4464-b06e-ce2e6d77889b · outbound

This paper cites Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.892785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7183d11c-8926-49e7-8a55-120a0af2fbd1 · outbound

This paper cites Determination of bounds for the jensen gap and its applications.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Determination of bounds for the jensen gap and its applications

Reference 50

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.023056Z

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 1fa6c29b-a3f1-49c4-a227-1f9fe02781cd · outbound

This paper cites Theoretical Foundation of Co-Training and Disagreement-Based Algorithms.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Theoretical Foundation of Co-Training and Disagreement-Based Algorithms

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-09T21:24:55.218742Z

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 2c63a570-d8b7-46dc-af19-8cd01504f32f · outbound

This paper cites Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.907492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18bd7bed-3664-45be-be91-f2c587d9892d · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Crowdsourcing Multiple Choice Science Questions

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.912038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b586b12b-33fb-4933-8199-5a4fff8c4f19 · outbound

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

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Provable Weak-to-Strong Generalization via Benign Overfitting

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.916771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb13dae-0b1e-4053-a15c-bd24b1bd8d7e · outbound

This paper cites Weak-to-Strong Reasoning.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Weak-to-Strong Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.921349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bedb539-092f-4ee7-8440-c75d046c07c0 · outbound

This paper cites How does disagreement help generalization against label corruption? In International conference on machine learning , pages 7164–7173.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss How does disagreement help generalization against label corruption? In International conference on machine learning , pages 7164–7173

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.040364Z

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 13ba0ddc-4aa1-4c36-8281-bb3f89d0138c · outbound

This paper cites Zeevi and Ronny Meir.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Zeevi and Ronny Meir

Reference 57

Resolution: verified exact; doi, observed 2026-08-09T21:24:55.006021Z

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 d3085331-c4bf-476c-833d-0630c66e23c3 · outbound

This paper cites Transcendence: Generative Models Can Outperform The Experts That Train Them.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Transcendence: Generative Models Can Outperform The Experts That Train Them

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.934427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780d92cd-836d-4d29-afd0-ff1357fdf7d7 · outbound

This paper cites g = f∗ ◦ hs,.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss g = f∗ ◦ hs,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:56.024175Z

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 c41e0f20-7e83-4af1-aba9-ad9fa76a3c55 · outbound

This paper cites an unresolved cited work.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:24:56.007762Z

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 fc9387d7-c9f0-47a7-8d5b-def68578325a · outbound

This paper cites an unresolved cited work.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:24:55.992000Z

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 ba9f76b7-931b-478f-b573-77406541f624 · outbound

This paper cites (9) Proof.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss (9) Proof

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:55.962710Z

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 98405c98-b72c-4f06-92b0-7fc849fca8f9 · outbound

This paper cites an unresolved cited work.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:24:55.977184Z

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 fc89a56b-2970-42c6-9ac9-d0498246fcfb · outbound

This paper cites functional.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss functional

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:24:55.946591Z

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.

Pith citing papers

Observation 037fabfc-e9d2-45b8-95ff-5c80e8c68bb4 · inbound

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective cites this paper.

On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:55.435466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac987d3-6335-4144-a009-a1c9e45343e9 · inbound

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

On Weak-to-Strong Generalization and f-Divergence Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:46.343068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d059723b-e854-40ca-bf68-f4170a488cfb · 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 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:36:08.618146Z

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 d32037b6-2823-4d5e-8002-042c3c35b1a4 · inbound

Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models) cites this paper.

Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models) Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:08.926889Z

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 a93ab811-3d46-45b7-bd10-201f37ea947d · 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 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:56.173948Z

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 6cce98df-ed5a-4539-976e-6918c90803c5 · 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 Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.877796Z

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.