Paper Citation Record · LEDGER

Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2304.10031.

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

pith.paper-citation-record.v1
2304.10031 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:56.497511Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.389730Z

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 4783e2f2-5e9f-4aae-8f28-9dc17e1fd36a · inbound

Heterogeneous Sheaf Neural Networks cites this paper.

Heterogeneous Sheaf Neural Networks Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.687331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7e1ea76-0fd9-40e2-ac12-4ce982556472 · inbound

CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning cites this paper.

CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:56.497511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 871bdfc1-a784-42ae-a952-2a6fc648daab · inbound

Cosmology with Topological Deep Learning cites this paper.

Cosmology with Topological Deep Learning Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:15.842100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c110ddc-e79d-48b3-8266-dbe8366d3681 · inbound

Relational inductive biases on attention mechanisms cites this paper.

Relational inductive biases on attention mechanisms Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:00:03.852065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38519955-eaba-409b-b7a9-eb4ac567e320 · inbound

Heat Kernel Goes Topological cites this paper.

Heat Kernel Goes Topological Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:55:20.687272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3de62ed-7df2-4a99-b129-ce9bd3372888 · inbound

The Logical Expressiveness of Topological Neural Networks cites this paper.

The Logical Expressiveness of Topological Neural Networks Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:53:29.851161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62f89d53-3d4f-41d3-8921-b40cd53e070a · inbound

Topology-Preserving Neural Operator Learning via Hodge Decomposition cites this paper.

Topology-Preserving Neural Operator Learning via Hodge Decomposition Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:07:51.587358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 827a04c5-8407-41b1-ab37-125df34034e8 · inbound

Topology-Preserving Neural Operator Learning via Hodge Decomposition cites this paper.

Topology-Preserving Neural Operator Learning via Hodge Decomposition Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:45:05.593643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b9a6726-702f-4e7b-9a14-4ff8200dccdc · inbound

Scaling Higher-Order Graph Learning with Maximal Clique Complexes cites this paper.

Scaling Higher-Order Graph Learning with Maximal Clique Complexes Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.899035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71777368-5754-4b2f-aaac-fe5e1983111d · inbound

Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs cites this paper.

Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:13.259044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6a87945-9da4-4ecf-abf9-64e9f9d8cd82 · inbound

Collapsed Effective Operators for Higher-order Structures cites this paper.

Collapsed Effective Operators for Higher-order Structures Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:09:44.391252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.