Paper Citation Record · LEDGER

Position: Topological Deep Learning is the New Frontier for Relational Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.08871.

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

pith.paper-citation-record.v1
2402.08871 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:16:57.370754Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:23:06.129438Z

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 5debf731-8adf-4313-99ea-08baaff6e8da · inbound

From Raw Data to Structural Semantics: Trade-offs among Distortion, Rate, and Inference Accuracy cites this paper.

From Raw Data to Structural Semantics: Trade-offs among Distortion, Rate, and Inference Accuracy Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:01:42.911434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efed1767-778e-4c5f-a1ba-a47e2ea6cec5 · inbound

Quantum Simplicial Neural Networks cites this paper.

Quantum Simplicial Neural Networks Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:10.648048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b154f44-3906-4236-8988-4047c4af0969 · inbound

CAML: Commutative algebra machine learning -- a case study on protein-ligand binding affinity prediction cites this paper.

CAML: Commutative algebra machine learning -- a case study on protein-ligand binding affinity prediction Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:16:57.370754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f084922-709f-4a22-ae1d-d07f24dc22bd · inbound

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations cites this paper.

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:23:06.224682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51f4b2e2-0a89-4eed-bc95-e223136e00e5 · inbound

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning cites this paper.

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:30:52.019858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdeb0e67-0732-4405-8258-9d57e182443e · inbound

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution cites this paper.

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution Position: Topological Deep Learning is the New Frontier for Relational Learning

Reference 289

Resolution: unresolved; no resolver link, observed 2026-08-11T00:33:46.567961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.