Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.460251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.460251Z digest=sha256:3ff195d483ae9165a496c90de1a128ce354f5e154bf237fd4cc356385c2e6e96

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.465469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.465469Z digest=sha256:98a2e5cc40eddaf6e5e90e871f329532a5a1e05693396d26a966060b8ea90c78

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.469912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.469912Z digest=sha256:17da6eb909243011e2ac76b1422bf21e121fd33c669aecf478ce6b50a9e6fc2b

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.474346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.474346Z digest=sha256:19dc645fe0806099c2f329a0bf6b1a763d3fc5990a5638b72c02f45627f55ab4

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.479000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.479000Z digest=sha256:5806bb8623d1a7d401f2e36cc76a0949c6ed06fa51528e14efb12f73ab8a0d28

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.483165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.483165Z digest=sha256:8ababcdb27dff81bf516b957d2099e84906ffe5b98f9926fe6c0a1312bf4e569

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.488144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.488144Z digest=sha256:e798b876d51edaab39ef7eff82af0b9b3f9306b8a0dc7b6c32bc4b1515d1266c

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.492642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.492642Z digest=sha256:ee9e6f12b02463802c02d12d2592e9c6d6ad127f7f4cd715e1ff62f86c681433

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.496620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.496620Z digest=sha256:35f88df102119dd7c0cd7eb69e71a16d0f5239d49eb22cb1d23442c8149cf06f

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.500897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.500897Z digest=sha256:56bd5b8d23334e39724a853447d417b9e8df255d18bb6a65bc6b64cd565d57e2

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.505068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.505068Z digest=sha256:00cc14eaf48b1bb8d31c8556e0000f96d8cef15eddbfb65b9b0d969a5b8dc1ce

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.509145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.509145Z digest=sha256:32682350ccb5135edb7404aec3ba5c45628acf271a43c40985c00094c7211fed

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.513534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.513534Z digest=sha256:b5916d37f6927ec4a265d2b2b14122fc178a9c66ac0684fa3b99dec056b182b7

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.518157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.518157Z digest=sha256:8d33be06132823ed0cff1f397d3f67c7a4886e02ea4edc5e041f13d47150d9e6

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.522365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.522365Z digest=sha256:933f58bb3f612540fcc41f4f4d277094cfe99978b75546d9584711c4d9eb0ac5

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.526467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.526467Z digest=sha256:622c1116409c55cb3e9a9c538b6052165bdd1e1319a61dc22366014141d008fe

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.530442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.530442Z digest=sha256:de99b95ee0b9d7123ca748a7d5e7a182c8ed4fe2fe73a64640f4797da301c2f6

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.534823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.534823Z digest=sha256:ef75490bb597ff0984917c19ab4ad49aa5581ee4c8a6a9c545541545beb10bed

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.539240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.539240Z digest=sha256:ed2b5ae994e4f094218d4a3e79aa5c01aa86298f804d108d10b5bdf00a2a432d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.543811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.543811Z digest=sha256:334865b9842d01502b411ad84cafe7b56a1185eab563da66af6c957f84aca3f1

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.548058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.548058Z digest=sha256:b5582e9fb82851e2bb609724b720843d11af2a990309e1c05d135b8099c83b9c

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:57:52.552176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:57:52.552176Z digest=sha256:7ef39b8009a7ce4ea0306be88fdf46ea2e9a6a0487108f15651c15956a255048

Pith citing papers

No inbound Pith citation observations are available.