Paper Citation Record · LEDGER

The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.09618.

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

pith.paper-citation-record.v1
2407.09618 v1

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 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:25:33.619441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:31:06.562735Z

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 a856b732-b9c0-4487-89cc-bb89d9b6aee9 · inbound

A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data cites this paper.

A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T12:25:33.619441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e104999-b88c-4a3e-8255-51f4b46f9bce · inbound

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows cites this paper.

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T23:39:46.252436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ff9d12-d9b7-4134-939a-afcfd79f7a89 · inbound

Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks cites this paper.

Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:22.276294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d39aa603-b559-483c-8a24-10ec077ea4c4 · inbound

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning cites this paper.

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:02.690783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9abe7509-8557-4a54-bece-a29b4ef12f3e · inbound

ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks cites this paper.

ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:06.570908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation deb85a26-1d57-4d9d-af22-76e3c5edecee · inbound

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement cites this paper.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:23.675195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.