Paper Citation Record · LEDGER

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.16893.

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

pith.paper-citation-record.v1
2505.16893 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:00.880184Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

12 of 12 outbound references displayed

verified exact5
verified fuzzy2
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 569d60af-5d8b-4447-8ef3-ca81455116da · outbound

This paper cites Other settings were the same as the default settings in the Type I error rate evaluation in Section 6.2.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Other settings were the same as the default settings in the Type I error rate evaluation in Section 6.2

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:01.922180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69d41bc7-16cd-41e8-af5e-9d117abe674b · outbound

This paper cites Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:01.673181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 90d5c817-3b59-43de-ac09-08a9b695a896 · outbound

This paper cites Statistical Test for Anomaly Detections by Variational Auto-Encoders.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Statistical Test for Anomaly Detections by Variational Auto-Encoders

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:00.650296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975959d9-741a-410d-bde7-e211d5f08bc5 · outbound

This paper cites Statistical Test for Feature Selection Pipelines by Selective Inference.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Statistical Test for Feature Selection Pipelines by Selective Inference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:00.710065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86877ce7-3e36-4b3f-91e7-8868151dac6d · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:00.801546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b106095f-1615-4e06-b763-574dce272fe3 · outbound

This paper cites Graph Neural Network Explanations are Fragile.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Graph Neural Network Explanations are Fragile

Reference 1986

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:01.329014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a3d44e6-2e72-48d5-9dbf-26b547db33d7 · outbound

This paper cites Unifying approach to selective inference with applications to cross-validation.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Unifying approach to selective inference with applications to cross-validation

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:00.450130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63dfa5e5-3b8a-47fb-86ca-357194b66248 · outbound

This paper cites Statistical Test for Auto Feature Engineering by Selective Inference.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Statistical Test for Auto Feature Engineering by Selective Inference

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:01.087116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc0d6d3f-361f-47fc-be6f-1351b9229f88 · outbound

This paper cites Graphsvx: Shapley value explanations for graph neural networks.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Graphsvx: Shapley value explanations for graph neural networks

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:02.207602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8129c2e1-3cdc-4824-b029-55eb60e25dfc · outbound

This paper cites Optimal Inference After Model Selection.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Optimal Inference After Model Selection

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:59.826922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c15251-1ffe-41c0-8707-ef57bbeb1c69 · outbound

This paper cites A significance test for forward stepwise model selection.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference A significance test for forward stepwise model selection

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:01.233283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3d54827-3856-4eb7-9ead-a4e9e071774d · outbound

This paper cites si4onnx: A Python package for Selective Inference in Deep Learning Models.

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference si4onnx: A Python package for Selective Inference in Deep Learning Models

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:01.462679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.