Paper Citation Record · LEDGER

Topological Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.07835.

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

pith.paper-citation-record.v1
2102.07835 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:54.798269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:18:12.722385Z

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 bac9c4ab-4eeb-448c-aedc-61d95f8c524b · 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 Topological Graph Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:54.798269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f94852-57f3-48be-a65a-56a9fbaf31ad · inbound

Heat Kernel Goes Topological cites this paper.

Heat Kernel Goes Topological Topological Graph Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T16:55:20.756820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f611fb94-f734-4e39-ad05-d09b82d5defe · inbound

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts cites this paper.

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts Topological Graph Neural Networks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:55:04.834801Z

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 048b09d0-9f89-4111-83a7-959f8659f93a · inbound

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features cites this paper.

From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features Topological Graph Neural Networks

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:18:12.724092Z

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.