Paper Citation Record · LEDGER

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2502.08448.

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

pith.paper-citation-record.v1
2502.08448 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:08:41.105594Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

18 of 18 outbound references displayed

verified exact2
verified fuzzy3
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b483a1c9-6538-452f-b781-14c8892f2292 · outbound

This paper cites How to escape sharp minima with random perturbations.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry How to escape sharp minima with random perturbations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.582605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e470723a-943a-4051-a30c-ae094c40a704 · outbound

This paper cites We evaluate pre-trained CLIP on the COCO Captions dataset as well as models fine-tuned to the Wiki dataset.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry We evaluate pre-trained CLIP on the COCO Captions dataset as well as models fine-tuned to the Wiki dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:08:41.538723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34ec19c2-e48a-4c6d-a5d0-f5494becee20 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.722282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4a3fa7-3f21-4a0d-ae12-d9833341197e · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Averaging Weights Leads to Wider Optima and Better Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.732932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229c4bbf-7c85-4e4e-92a9-90dfa5cb44db · outbound

This paper cites Fantastic Generalization Measures and Where to Find Them.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Fantastic Generalization Measures and Where to Find Them

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.743685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed699212-6b12-4cae-84be-5ecf79207f92 · outbound

This paper cites A Walk with SGD.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry A Walk with SGD

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.954091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0589c1af-f36b-4e3e-b062-8e32fd05e687 · outbound

This paper cites Riemannian laplace approximation with the fisher metric.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Riemannian laplace approximation with the fisher metric

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-08T05:08:41.320568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92d6b38d-60ec-48e8-b3ea-c6a23e5317b5 · outbound

This paper cites The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:41.082154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df0aa70-debb-496d-b0d3-2de6f3624d64 · outbound

This paper cites an unresolved cited work.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-08T05:08:41.563166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58fd0851-5850-4b37-ae9a-f987b87dec8e · outbound

This paper cites QT Q = I and Λ = diag (λ1,.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry QT Q = I and Λ = diag (λ1,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:08:41.551226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3959d7d-a9de-4c7e-8911-88df255b2b61 · outbound

This paper cites The Platonic Representation Hypothesis.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry The Platonic Representation Hypothesis

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.727583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddcde2c6-cdb4-4b31-9fc0-fb8d5e36acc1 · outbound

This paper cites Stability Analysis of Sharpness-Aware Minimization.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Stability Analysis of Sharpness-Aware Minimization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.753308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60054f5-a385-4b89-a9a4-5bedf72fa7d7 · outbound

This paper cites Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.714436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee620cae-1b90-411b-b92c-15749ebe7fba · outbound

This paper cites Three Factors Influencing Minima in SGD.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Three Factors Influencing Minima in SGD

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.738761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e91d60-62ba-4df6-acab-b49b65ed932e · outbound

This paper cites Rethinking Sharpness-Aware Minimization as Variational Inference.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Rethinking Sharpness-Aware Minimization as Variational Inference

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-08T05:08:41.411120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e292aab-3a90-466d-a78e-d54736ab08c1 · outbound

This paper cites an unresolved cited work.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.756784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51905a8-63ab-4a13-80ae-0554985f61c6 · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T05:08:40.748864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7917e574-e7b0-4813-aa78-c73e02e02225 · outbound

This paper cites Entropy-sgd: Biasing gradient descent into wide val- leys.

Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry Entropy-sgd: Biasing gradient descent into wide val- leys

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:08:41.584398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.