Paper Citation Record · LEDGER

Bound to Disagree: Generalization Bounds via Certifiable Surrogates

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2602.23128.

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

pith.paper-citation-record.v1
2602.23128 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:34:27.350237Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8821f5e-65d5-4a95-802a-64f49aff63cd · outbound

This paper cites We now extend this result and upperbound the disagreement.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates We now extend this result and upperbound the disagreement

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.591581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a91d978-ce93-4a92-89b8-b28212f61083 · outbound

This paper cites , Xn bei.i.d.random variables Xi ∈ {0,1}and p=E[X i].

Bound to Disagree: Generalization Bounds via Certifiable Surrogates , Xn bei.i.d.random variables Xi ∈ {0,1}and p=E[X i]

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.402162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f76ecbf-354a-4237-80a0-2c93bc148378 · outbound

This paper cites Com- parative generalization bounds for deep neural networks.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Com- parative generalization bounds for deep neural networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.858160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba11d553-f511-4f81-bd85-730ad260ec79 · outbound

This paper cites an unresolved cited work.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.915806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c42ad9-e686-48de-a600-888e2af5ddee · outbound

This paper cites Generalization Bounds for Convolutional Neural Networks.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Generalization Bounds for Convolutional Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.030019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38a89e7-0495-412a-8ffa-22a987036e7b · outbound

This paper cites A Note on the PAC Bayesian Theorem.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates A Note on the PAC Bayesian Theorem

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.168918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39a4d26-690c-47df-886b-0e1d4c51c560 · outbound

This paper cites Pick-to-learn for systems and con- trol: Data-driven synthesis with state-of-the-art safety guarantees.arXiv preprint arXiv:2512.04781,.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Pick-to-learn for systems and con- trol: Data-driven synthesis with state-of-the-art safety guarantees.arXiv preprint arXiv:2512.04781,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.385933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c26582f-3e24-4608-8943-6567cf069ff9 · outbound

This paper cites Sample compression bounds for decision trees.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Sample compression bounds for decision trees

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.693620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882be317-92fc-4c44-ab3d-1a21423c89d3 · outbound

This paper cites Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.848295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58222b20-fe68-40d3-8d23-2aef13c7bc0b · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Transformers: State-of-the-art natural language processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.026868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea70f8fc-3bb3-4763-9053-9f224cf539fb · outbound

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

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Character- level convolutional networks for text classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.138057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2b2e06-4d43-487a-a595-547242ba0389 · outbound

This paper cites By definition,Z≤1 , which means that 1 Z 2−lC(ˆh)2−2 log2 lC(ˆh) ≥2 −lC(ˆh)2−2 log2 lC(ˆh) =⇒ Bin κ, n,1 Z 2−lC(ˆh)2−2 log2 lC(ˆh)δ ≤ Bin κ, n,2−lC(ˆh)2−2 log2 lC(ˆh)δ.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates By definition,Z≤1 , which means that 1 Z 2−lC(ˆh)2−2 log2 lC(ˆh) ≥2 −lC(ˆh)2−2 log2 lC(ˆh) =⇒ Bin κ, n,1 Z 2−lC(ˆh)2−2 log2 lC(ˆh)δ ≤ Bin κ, n,2−lC(ˆh)2−2 log2 lC(ˆh)δ

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.519829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772ad3a2-c853-4934-91ac-0d2d60ce5669 · outbound

This paper cites The second inequality comes from theKℓ-Lipschitz continuity ofℓ.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates The second inequality comes from theKℓ-Lipschitz continuity ofℓ

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.662498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77348fab-7ad1-4ed4-b113-90f7005b1964 · outbound

This paper cites To use Chernoff’s bound, we need a loss in the unit interval, so we normalize it.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates To use Chernoff’s bound, we need a loss in the unit interval, so we normalize it

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.747693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0831d0bb-41e1-4bb6-ac82-3579dac552e9 · outbound

This paper cites We consider 5 different seeds for the random clusters.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates We consider 5 different seeds for the random clusters

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-08-02T20:34:27.192018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2d2801-0f1b-4959-9600-22b58b284d57 · outbound

This paper cites an unresolved cited work.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:27.350237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14be06f7-20b3-40ec-9b5e-45d3418a2f79 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 1958

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.572781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a166a19-2ce8-4ea3-ba7d-a175b78691d6 · outbound

This paper cites Margin-Sparsity Trade-Off for the Set Covering Machine.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Margin-Sparsity Trade-Off for the Set Covering Machine

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.968749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55a4528-b520-4ac3-9219-d62ea2dc236f · outbound

This paper cites On the perceptron’s compression.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates On the perceptron’s compression

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.229910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f91f2b7-e077-4596-bc76-b66699b8aebb · outbound

This paper cites The set covering machine with data-dependent half-spaces.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates The set covering machine with data-dependent half-spaces

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.113432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d25e3b-d6d5-4000-a545-debb3e69ddcc · outbound

This paper cites an unresolved cited work.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Unresolved cited work

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.646915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5978bff4-68bc-4bbf-b8d3-ff6255660030 · outbound

This paper cites Sample compression for self certified continual learning.arXiv preprint arXiv:2503.10503,.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Sample compression for self certified continual learning.arXiv preprint arXiv:2503.10503,

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.502107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b63874-9ab4-4a77-8ad1-b625f2affd51 · outbound

This paper cites an unresolved cited work.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:26.250279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0df863a-df2d-448e-a910-d8b413324c95 · outbound

This paper cites A coreset selection of coreset selection literature: Introduction and recent advances.arXiv preprint arXiv:2505.17799,.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates A coreset selection of coreset selection literature: Introduction and recent advances.arXiv preprint arXiv:2505.17799,

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:25.285512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d0ad6a-21ff-4173-b9d1-d5df36843e60 · outbound

This paper cites A Note on the Chernoff Bound for Random Variables in the Unit Interval.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates A Note on the Chernoff Bound for Random Variables in the Unit Interval

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.725049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536e5461-fd17-42bc-a258-f0759877f52f · outbound

This paper cites Statistical learning with Lipschitz and convex loss functions.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Statistical learning with Lipschitz and convex loss functions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.402476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad7588d-d43b-4326-9c2a-1272480bb0d3 · outbound

This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Adversarial Active Learning for Deep Networks: a Margin Based Approach

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.585107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d417fca2-7629-4e41-84cf-df8711f1c318 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Distilling the Knowledge in a Neural Network

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:24.911845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63b3c50-8334-4249-8dac-beebb21f99cc · outbound

This paper cites Finally, the PAC-Bayesian experiments and the model distillation experiments were computed with Python 3.12.4 and a NVidia A100 SXM4.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates Finally, the PAC-Bayesian experiments and the model distillation experiments were computed with Python 3.12.4 and a NVidia A100 SXM4

Reference 4090

Resolution: unresolved; no resolver link, observed 2026-08-02T20:34:27.077944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.