Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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=sha256:5895475262fbdb05edf4ac8575784bf2f73a21f9e9a0e4c1aa63745ff1e84923

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=sha256:4746d528787be3cfe78fa016899a5d804c3017b7bf8b58627d8a7086c22d571c

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=sha256:817f7c18baa7fe798acdd35bddde0dd49b76887e23969a1b600d30426cbed750

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=sha256:33b7b5b98aff07a62fd5431135b41abcc5c3405dfd8bf13fe5424283807073e5

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:ded1f9549230c8f9825cfad1e385f671dcc919edf06ca5529e844de5df7f44fe

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=sha256:98b6ea52e40f1fea4b86c6ed5a2982900f8281cc0b94cc7849453b4a62b2a427

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=sha256:4ea9d59ae50ec5175c723825cba6a84c1b93f0ded0f692d24007bbf87f78084e

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:f0a1d5e4acce3c02117ff7416ffa86da5321c250a77a9740e85fe232508545fa

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=sha256:5b4276c78bd04257656895a093d152b73456821e744208ce43d39fd4109ff587

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:c4f716a3a42721cdd1d91ad1f03a60629b01d39dfa7de719d0adb47592c11335

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=sha256:854c16759614a00c7ceafccb3a10b4ecd01dfcb2ed8e5a2229d121616307217b

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=sha256:40565b9be809cbac50f0d1f49f7b73a276896725fc52c375dd7e57bf47bae74d

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:d11247d12d3a3feaeb727dd668b5a202fd8bbb52156f9ef002e83f537d64c370

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:a08fe8ae8aede587dec38e29667a3ea2804d19c304a33baf9565575800bed6d1

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:bb9b7987af90df665636a655d5b1233891aac4dd35d64333270b7fbf663d8cb3

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:ffed172a100aae2f84f374d244c9e6877eca91b70735a622e83521b4f5e5b083

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=sha256:33fe5dacd2e7f4e99b033eeefa4ec20e92e579ddf7dc7bbcebaae01df5968413

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:a64b82af5aeedb057867930ef848ce550843f5e9f1b7f27fe1edb4a444670388

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=sha256:5f7d410b2a3691f83ee90433af4661be48662167f085c814f4034c8f791affb4

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=sha256:1c0f7ec4e236d5886470a16c4d558de2ca55c04aff0cec478b965b1ebdbe32cb

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=sha256:10b81570a7198ac53fb285a95c43f5a1a7dca9c5fedc0dcd94cdec747a2abca9

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:bfea1165b8b04298ee839d69a2620f0339ee9787794c35cf71c41db72878dbca

Pith citing papers

No inbound Pith citation observations are available.