Paper Citation Record · LEDGER

Mathematical Foundations of Geometric Deep Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.02723.

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

pith.paper-citation-record.v1
2508.02723 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:23:58.094037Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.705496Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation faadee9e-bfd5-4578-95fe-18807c064f77 · inbound

Deep Learning in Classical and Quantum Physics cites this paper.

Deep Learning in Classical and Quantum Physics Mathematical Foundations of Geometric Deep Learning

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:58.094037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc40718-aa3b-4f67-b0cd-c23d05fb9608 · inbound

Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule cites this paper.

Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule Mathematical Foundations of Geometric Deep Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T17:47:08.537271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1bcae8-f98d-4872-8a32-845289949f7a · inbound

Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity cites this paper.

Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity Mathematical Foundations of Geometric Deep Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:45:57.016876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3577764f-1528-43ac-af8f-e5ea0197ea18 · inbound

Algebraic Networks and Architectural Degenerations cites this paper.

Algebraic Networks and Architectural Degenerations Mathematical Foundations of Geometric Deep Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.707362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fce3073-55d7-4235-a924-28621cc632e7 · inbound

GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models cites this paper.

GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models Mathematical Foundations of Geometric Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T12:56:38.416613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.