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Paper Citation Record · LEDGER

si4onnx: A Python package for Selective Inference in Deep Learning Models

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2501.17415.

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

pith.paper-citation-record.v1
2501.17415 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:49:47.569725Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:00.071359Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:58:01.414863Z

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy11
  • unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b338ff5-86f4-4d7b-8905-b08fcd1af5aa · outbound

This paper cites Sanity checks for saliency maps.

si4onnx: A Python package for Selective Inference in Deep Learning Models Sanity checks for saliency maps

Reference 1

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Observation 84f5313f-4067-4a9f-9565-5307a7978146 · outbound

This paper cites Mvtec ad--a comprehensive real-world dataset for unsupervised anomaly detection.

si4onnx: A Python package for Selective Inference in Deep Learning Models Mvtec ad--a comprehensive real-world dataset for unsupervised anomaly detection

Reference 2

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Observation c2f62465-7d84-4939-9497-556f6014cd7a · outbound

This paper cites Valid inference corrected for outlier removal.

si4onnx: A Python package for Selective Inference in Deep Learning Models Valid inference corrected for outlier removal

Reference 3

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Observation 0aa69d52-be38-443d-9836-ccea47f558a7 · outbound

This paper cites More powerful selective inference for the graph fused lasso.

si4onnx: A Python package for Selective Inference in Deep Learning Models More powerful selective inference for the graph fused lasso

Reference 4

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Observation 4ae7932b-200b-438f-b627-cab8784a4f3f · outbound

This paper cites Fast and More Powerful Selective Inference for Sparse High-order Interaction Model.

si4onnx: A Python package for Selective Inference in Deep Learning Models Fast and More Powerful Selective Inference for Sparse High-order Interaction Model

Reference 5

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Observation 17f03959-f719-4e1c-96a8-089c78d68ae0 · outbound

This paper cites Explanations can be manipulated and geometry is to blame.

si4onnx: A Python package for Selective Inference in Deep Learning Models Explanations can be manipulated and geometry is to blame

Reference 6

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Observation 175d3402-b9ba-469b-ab61-72abdbe574c1 · outbound

This paper cites More powerful conditional selective inference for generalized lasso by parametric programming.

si4onnx: A Python package for Selective Inference in Deep Learning Models More powerful conditional selective inference for generalized lasso by parametric programming

Reference 7

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Observation 485b782e-7275-4fc6-9431-78cbdbeca7e1 · outbound

This paper cites Computing valid p-value for optimal changepoint by selective inference using dynamic programming.

si4onnx: A Python package for Selective Inference in Deep Learning Models Computing valid p-value for optimal changepoint by selective inference using dynamic programming

Reference 8

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Observation 9f40aba1-b9d6-43ce-9a7b-029e337f600d · outbound

This paper cites Quantifying statistical significance of neural network-based image segmentation by selective inference.

si4onnx: A Python package for Selective Inference in Deep Learning Models Quantifying statistical significance of neural network-based image segmentation by selective inference

Reference 9

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Observation f8b5261c-0cf4-43e9-9d10-04dc4f17fe4c · outbound

This paper cites Selective inference for hierarchical clustering.

si4onnx: A Python package for Selective Inference in Deep Learning Models Selective inference for hierarchical clustering

Reference 10

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Observation 38076aea-dbc1-4caa-946c-2fea7593ed74 · outbound

This paper cites Optimal finite sample post-selection confidence distributions in generalized linear models.

si4onnx: A Python package for Selective Inference in Deep Learning Models Optimal finite sample post-selection confidence distributions in generalized linear models

Reference 11

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Observation 505969e0-8d16-4931-bb62-20499ae6744b · outbound

This paper cites Deep anomaly detection using geometric transformations.

si4onnx: A Python package for Selective Inference in Deep Learning Models Deep anomaly detection using geometric transformations

Reference 12

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Observation 9a9bd4c5-e8fc-4d6d-8022-884a5a3427cc · outbound

This paper cites Exact post-selection inference for the generalized lasso path.

si4onnx: A Python package for Selective Inference in Deep Learning Models Exact post-selection inference for the generalized lasso path

Reference 13

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Observation 168a12b1-dcde-49b6-b553-6972000ebe09 · outbound

This paper cites Testing for a change in mean after changepoint detection.

si4onnx: A Python package for Selective Inference in Deep Learning Models Testing for a change in mean after changepoint detection

Reference 14

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Observation e4aa1cf6-8370-4ecc-9890-908d00a90b46 · outbound

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si4onnx: A Python package for Selective Inference in Deep Learning Models Unresolved cited work

Reference 15

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Observation 864f4e13-c356-4713-9ff2-1e1fba8175dc · outbound

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

si4onnx: A Python package for Selective Inference in Deep Learning Models Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference

Reference 16

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Observation eb132dfb-c434-40fd-9eb4-324ed2f6efe1 · outbound

This paper cites Circular analysis in systems neuroscience: the dangers of double dipping.

si4onnx: A Python package for Selective Inference in Deep Learning Models Circular analysis in systems neuroscience: the dangers of double dipping

Reference 17

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Observation e7f0c137-ec3e-45ca-b092-2377faf08db8 · outbound

This paper cites The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

si4onnx: A Python package for Selective Inference in Deep Learning Models The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

Reference 18

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Observation 6c439488-a34f-4198-a65b-f537e8b7fbe6 · outbound

This paper cites Cad-da: Controllable anomaly detection after domain adaptation by statistical inference.

si4onnx: A Python package for Selective Inference in Deep Learning Models Cad-da: Controllable anomaly detection after domain adaptation by statistical inference

Reference 19

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Observation f70c9bd2-202d-4e57-a413-d6eef2247283 · outbound

This paper cites Exact post model selection inference for marginal screening.

si4onnx: A Python package for Selective Inference in Deep Learning Models Exact post model selection inference for marginal screening

Reference 20

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Observation b9eb9451-e8d6-40ae-ab8f-6c5b3dbb5916 · outbound

This paper cites Evaluating the statistical significance of biclusters.

si4onnx: A Python package for Selective Inference in Deep Learning Models Evaluating the statistical significance of biclusters

Reference 21

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Observation 6a4a3e07-21b5-4c5a-b34d-5e6bc18d2641 · outbound

This paper cites Exact post-selection inference, with application to the lasso.

si4onnx: A Python package for Selective Inference in Deep Learning Models Exact post-selection inference, with application to the lasso

Reference 22

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Observation 64e02323-3995-4fda-b5b1-5615c9699190 · outbound

This paper cites More powerful post-selection inference, with application to the Lasso.

si4onnx: A Python package for Selective Inference in Deep Learning Models More powerful post-selection inference, with application to the Lasso

Reference 23

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Observation c1c89bcd-2749-4395-bd62-7adf27f89dda · outbound

This paper cites Fully convolutional networks for semantic segmentation.

si4onnx: A Python package for Selective Inference in Deep Learning Models Fully convolutional networks for semantic segmentation

Reference 24

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Observation 3a918c79-63fa-4d3f-a7e5-084f7cb30954 · outbound

This paper cites Valid p-value for deep learning-driven salient region.

si4onnx: A Python package for Selective Inference in Deep Learning Models Valid p-value for deep learning-driven salient region

Reference 25

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Observation 52d2f122-c57a-4b33-8c54-8d701d786d1e · outbound

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

si4onnx: A Python package for Selective Inference in Deep Learning Models Statistical Test for Anomaly Detections by Variational Auto-Encoders

Reference 26

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Observation d98529af-2b1c-4031-9957-a67ae26d48fe · outbound

This paper cites Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso.

si4onnx: A Python package for Selective Inference in Deep Learning Models Parametric programming-based approximate selective inference for adaptive lasso, adaptive elastic net and group lasso

Reference 27

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si4onnx: A Python package for Selective Inference in Deep Learning Models U-net: Convolutional networks for biomedical image segmentation

Reference 28

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si4onnx: A Python package for Selective Inference in Deep Learning Models Inference for l 2-boosting

Reference 29

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si4onnx: A Python package for Selective Inference in Deep Learning Models Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 30

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si4onnx: A Python package for Selective Inference in Deep Learning Models Bounded p values in parametric programming-based selective inference

Reference 31

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si4onnx: A Python package for Selective Inference in Deep Learning Models Statistical test for attention map in vision transformers

Reference 32

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si4onnx: A Python package for Selective Inference in Deep Learning Models Selective inference for sparse high-order interaction models

Reference 33

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This paper cites Computing valid p-values for image segmentation by selective inference.

si4onnx: A Python package for Selective Inference in Deep Learning Models Computing valid p-values for image segmentation by selective inference

Reference 34

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This paper cites Statistical learning and selective inference.

si4onnx: A Python package for Selective Inference in Deep Learning Models Statistical learning and selective inference

Reference 35

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si4onnx: A Python package for Selective Inference in Deep Learning Models Selective inference with a randomized response

Reference 36

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Observation cb61573f-f42b-4f61-b9a5-7f4f79de1f8e · outbound

This paper cites Exact post-selection inference for sequential regression procedures.

si4onnx: A Python package for Selective Inference in Deep Learning Models Exact post-selection inference for sequential regression procedures

Reference 37

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This paper cites Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.

si4onnx: A Python package for Selective Inference in Deep Learning Models Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation

Reference 38

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This paper cites Selective inference for group-sparse linear models.

si4onnx: A Python package for Selective Inference in Deep Learning Models Selective inference for group-sparse linear models

Reference 39

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This paper cites Learning deep features for discriminative localization.

si4onnx: A Python package for Selective Inference in Deep Learning Models Learning deep features for discriminative localization

Reference 40

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Pith citing papers

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Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference cites this paper.

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

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