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Paper Citation Record · LEDGER

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.25273.

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

pith.paper-citation-record.v1
2607.25273 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:57:52.552176Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

22 of 22 outbound references displayed

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Outbound references

Observation f76f0182-3264-409f-9f14-4e07e13ae14f · outbound

This paper cites Classification with valid and adaptive coverage,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Classification with valid and adaptive coverage,

Reference 1

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Observation ec46a49a-075e-45ff-8335-6fdc433c0f60 · outbound

This paper cites Least ambiguous set-valued classifiers with bounded error levels,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Least ambiguous set-valued classifiers with bounded error levels,

Reference 2

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Observation 8c7fb725-c099-4d29-a499-96b50586933b · outbound

This paper cites Conformal prediction: A gentle introduction,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Conformal prediction: A gentle introduction,

Reference 3

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Observation ec61b242-f48c-431f-9c5d-8593e80c78a1 · outbound

This paper cites Conformal pre- diction sets for graph neural networks,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Conformal pre- diction sets for graph neural networks,

Reference 4

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Observation bef8be34-86e5-4368-b81a-c22733ee1466 · outbound

This paper cites Similarity- navigated conformal prediction for graph neural networks,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Similarity- navigated conformal prediction for graph neural networks,

Reference 5

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Observation 8822d155-6bb9-47d4-88eb-c5d02be97be2 · outbound

This paper cites Uncertainty quantifica- tion over graph with conformalized graph neural networks,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Uncertainty quantifica- tion over graph with conformalized graph neural networks,

Reference 6

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Observation 17be7e6e-de27-4d0f-b15e-e16980c91e18 · outbound

This paper cites Residual Reweighted Conformal Prediction for Graph Neural Networks.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Residual Reweighted Conformal Prediction for Graph Neural Networks

Reference 7

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Observation 014d62c0-6f32-4180-8b2e-f02e5a8f849e · outbound

This paper cites V ovk, A.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks V ovk, A

Reference 8

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Observation 34bf955b-8eb0-43b4-97d2-d8bf777eb45d · outbound

This paper cites Distribution-free predictive inference for regression,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Distribution-free predictive inference for regression,

Reference 9

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Observation 11f25e31-eaef-4780-af24-10cb7e058621 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Geom-GCN: Geometric Graph Convolutional Networks

Reference 10

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Observation 63e2fd46-c508-409c-831e-60f3cadc3df8 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Beyond homophily in graph neural networks: Current limitations and effective designs,

Reference 11

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Observation 81bc1683-7429-41b6-ab73-c5b3f2ca3472 · outbound

This paper cites Beyond low-frequency infor- mation in graph convolutional networks,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Beyond low-frequency infor- mation in graph convolutional networks,

Reference 12

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Observation d8c6afdf-ed9b-4855-831e-bfdd0c8f58f9 · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 13

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Observation 6564f268-d695-43be-8e6c-6eca5baa33f9 · outbound

This paper cites Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods,

Reference 14

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Observation 4925a9a8-8bd5-4551-be3e-993a2d49ea0e · outbound

This paper cites Graph posterior network: Bayesian predictive uncertainty for node classification,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Graph posterior network: Bayesian predictive uncertainty for node classification,

Reference 15

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Observation 5aa6ca52-8420-4257-a758-6d80a1d482d1 · outbound

This paper cites Be confident! towards trust- worthy graph neural networks via confidence calibration,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Be confident! towards trust- worthy graph neural networks via confidence calibration,

Reference 16

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Observation f720221c-ba08-4b36-a425-a9c4977f2f92 · outbound

This paper cites A critical look at the evaluation of GNNs under heterophily: Are we really making progress?.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

Reference 17

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Observation bcf645ae-fbef-4dcc-afc7-b9258b1a600e · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 18

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Observation 937fb413-2ebd-41e0-a851-b0ec4cfe362f · outbound

This paper cites Graph Attention Networks.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Graph Attention Networks

Reference 19

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Observation 9766cf16-05e2-4d4c-ba85-eaf03d75b9d0 · outbound

This paper cites Inductive representation learning on large graphs,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Inductive representation learning on large graphs,

Reference 20

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Observation 20917693-4213-4528-a7b7-4d3ced14ebe4 · outbound

This paper cites Contextual stochastic block models,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Contextual stochastic block models,

Reference 21

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Observation 5069b59b-8627-4f5f-b687-6b3bcdcca88d · outbound

This paper cites Con- formal prediction under covariate shift,.

HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks Con- formal prediction under covariate shift,

Reference 22

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