Paper Citation Record · LEDGER

Evaluating Loss Landscapes from a Topology Perspective

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2411.09807.

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

pith.paper-citation-record.v1
2411.09807 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:21:13.794388Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:56:29.105379Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:56:29.163819Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 083f1190-cce9-4b55-888d-db6ce9e6db95 · outbound

This paper cites An overview of the T opology T ool K it.

Evaluating Loss Landscapes from a Topology Perspective An overview of the T opology T ool K it

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.250693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc5bdcb8-075a-40a3-8075-b3b83dbd15bd · outbound

This paper cites Computing contour trees in all dimensions.

Evaluating Loss Landscapes from a Topology Perspective Computing contour trees in all dimensions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.230104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf766a26-0c65-43ff-94e5-23a37acfc787 · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Evaluating Loss Landscapes from a Topology Perspective Swad: Domain generalization by seeking flat minima

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:13.685630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2acc43-5618-4108-b1b4-fea74a271dae · outbound

This paper cites On robustness and transferability of convolutional neural networks.

Evaluating Loss Landscapes from a Topology Perspective On robustness and transferability of convolutional neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.192842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe91ab74-6faf-4609-bfcd-a56e52dc7801 · outbound

This paper cites Efficient k-nearest neighbor graph construction for generic similarity measures.

Evaluating Loss Landscapes from a Topology Perspective Efficient k-nearest neighbor graph construction for generic similarity measures

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.165539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66611fd5-6c0e-460c-88c7-2da193cfd080 · outbound

This paper cites Persistent H omology-a S urvey.

Evaluating Loss Landscapes from a Topology Perspective Persistent H omology-a S urvey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.137266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50eb697f-4864-4fed-9757-d8b5e1c03250 · outbound

This paper cites Qualitatively characterizing neural network optimization problems.

Evaluating Loss Landscapes from a Topology Perspective Qualitatively characterizing neural network optimization problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:13.719322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa586e0d-6c95-47a6-a5cf-58ebaebe0caa · outbound

This paper cites A S urvey of T opology-based M ethods in V isualization.

Evaluating Loss Landscapes from a Topology Perspective A S urvey of T opology-based M ethods in V isualization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.113729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5bc1ac83-c421-484e-b365-a30a89a9b48c · outbound

This paper cites Characterizing possible failure modes in physics-informed neural networks.

Evaluating Loss Landscapes from a Topology Perspective Characterizing possible failure modes in physics-informed neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.094631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05dfb08d-0c75-4826-afdd-d19467644ed5 · outbound

This paper cites Adversarial Machine Learning at Scale.

Evaluating Loss Landscapes from a Topology Perspective Adversarial Machine Learning at Scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:13.741303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c808fa7-aff5-4ca5-b5b0-0a4b8c80c8b1 · outbound

This paper cites Visualizing the loss landscape of neural nets.

Evaluating Loss Landscapes from a Topology Perspective Visualizing the loss landscape of neural nets

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.072804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 612cfff9-ba93-4767-b405-b856994adf30 · outbound

This paper cites Implicit S elf- R egularization in D eep N eural N etworks: E vidence from R andom M atrix T heory and I mplications for L earning.

Evaluating Loss Landscapes from a Topology Perspective Implicit S elf- R egularization in D eep N eural N etworks: E vidence from R andom M atrix T heory and I mplications for L earning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.047915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5aa11765-8311-4ea8-8260-a6dfcb064710 · outbound

This paper cites Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data.

Evaluating Loss Landscapes from a Topology Perspective Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:14.021200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef32d8fa-e4b5-4c91-9bde-3994c0f1b738 · outbound

This paper cites Generalized out-of-distribution detection: A survey, 2022 a.

Evaluating Loss Landscapes from a Topology Perspective Generalized out-of-distribution detection: A survey, 2022 a

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:13.996782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9695ba05-1916-4d58-b8c1-a0355e0dc04f · outbound

This paper cites Taxonomizing local versus global structure in neural network loss landscapes.

Evaluating Loss Landscapes from a Topology Perspective Taxonomizing local versus global structure in neural network loss landscapes

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:13.975748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a701cb68-5bcc-4eba-abef-9d2e1548eea9 · outbound

This paper cites Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.

Evaluating Loss Landscapes from a Topology Perspective Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:13.781538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a58fd9d-7415-4fa7-bfef-cac77cd353b9 · outbound

This paper cites PyHessian : Neural networks through the lens of the hessian.

Evaluating Loss Landscapes from a Topology Perspective PyHessian : Neural networks through the lens of the hessian

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:13.947392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b83971e-ac0c-4021-accb-e7431dd21d9d · outbound

This paper cites A three-regime model of network pruning.

Evaluating Loss Landscapes from a Topology Perspective A three-regime model of network pruning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:13.923155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 574b9102-28db-4e6b-baf6-4a79761df884 · inbound

Visualizing Loss Functions as Topological Landscape Profiles cites this paper.

Visualizing Loss Functions as Topological Landscape Profiles Evaluating Loss Landscapes from a Topology Perspective

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:56:29.171140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.