Paper Citation Record · LEDGER

Prediction via Shapley Value Regression

As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.04775.

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

pith.paper-citation-record.v1
2505.04775 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:26:45.703132Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

18 of 18 outbound references displayed

verified exact2
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7ce7d43-3a26-43b1-85fb-ca6a0e6c1251 · outbound

This paper cites Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification.

Prediction via Shapley Value Regression Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:26:45.924718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ce09f46-9546-40a0-a1fa-3e512b4272aa · outbound

This paper cites an unresolved cited work.

Prediction via Shapley Value Regression Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:26:45.950880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35f9d751-735f-4edc-ad38-9f9e798f2cfa · outbound

This paper cites Jethani, N., Sudarshan, M., Aphinyanaphongs, Y ., and Ran- ganath, R.

Prediction via Shapley Value Regression Jethani, N., Sudarshan, M., Aphinyanaphongs, Y ., and Ran- ganath, R

Reference 8

Resolution: verified exact; doi, observed 2026-08-15T23:26:45.736182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 326bab9a-c985-4f6a-b6ba-370e13bb4c70 · outbound

This paper cites Each column corresponds to a CIFAR-10 class, and the predicted probability by ResNet18Via displayed beneath each image.

Prediction via Shapley Value Regression Each column corresponds to a CIFAR-10 class, and the predicted probability by ResNet18Via displayed beneath each image

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:45.937963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 377e7860-5a94-44ac-b74e-5b39d47300e5 · outbound

This paper cites Rationalizing neural predictions.

Prediction via Shapley Value Regression Rationalizing neural predictions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.003444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ebd1340-ff57-45c8-98ad-f6175ece89a6 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Prediction via Shapley Value Regression KAN: Kolmogorov-Arnold Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:26:45.679734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0523abd8-a44b-461f-9207-d9fee4020474 · outbound

This paper cites K., Sharma, A., and Tan, C.

Prediction via Shapley Value Regression K., Sharma, A., and Tan, C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:45.990199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c1f09e2-4d91-4a90-b56a-7b6b6bca76f0 · outbound

This paper cites Individual comparisons by ranking methods.

Prediction via Shapley Value Regression Individual comparisons by ranking methods

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:26:45.695478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f7164f-1f96-468e-9812-594343f82e16 · outbound

This paper cites A baseline for shapley values in mlps: from missingness to neutrality.

Prediction via Shapley Value Regression A baseline for shapley values in mlps: from missingness to neutrality

Reference 1989

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.028952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6873f9c-531b-41a5-9b8a-d48fde90fa09 · outbound

This paper cites High dimensional model explanations: An axiomatic approach.

Prediction via Shapley Value Regression High dimensional model explanations: An axiomatic approach

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:45.977018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48e40376-c1c6-4b3c-b836-4c92422be7b7 · outbound

This paper cites Interpretable & Explorable Approximations of Black Box Models.

Prediction via Shapley Value Regression Interpretable & Explorable Approximations of Black Box Models

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:26:45.892983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7fff558-51c6-44d1-886f-55c6687814e1 · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

Prediction via Shapley Value Regression U-net: Con- volutional networks for biomedical image segmentation

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:45.964301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a3d317e-79d1-4835-922a-481786820183 · outbound

This paper cites Counternet: End-to-end training of counterfactual aware predictions.

Prediction via Shapley Value Regression Counternet: End-to-end training of counterfactual aware predictions

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.050415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b93ea932-eb95-44ab-b84c-3e2be2538bec · outbound

This paper cites True to the Model or True to the Data?.

Prediction via Shapley Value Regression True to the Model or True to the Data?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T23:26:45.641890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96cc2fb3-af36-4c7d-b014-eb203b6203e5 · outbound

This paper cites In- terpretable graph neural networks for connectome-based brain disorder analysis.

Prediction via Shapley Value Regression In- terpretable graph neural networks for connectome-based brain disorder analysis

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.063608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b68c513-776f-4019-8eab-8d4ea4b180be · outbound

This paper cites Deep residual learning for image recognition.

Prediction via Shapley Value Regression Deep residual learning for image recognition

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:26:45.655466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb53fc66-c8fe-473a-8211-34cfa0408af5 · outbound

This paper cites Radial- based approach to imbalanced data oversampling.

Prediction via Shapley Value Regression Radial- based approach to imbalanced data oversampling

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.016097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf661443-f4ed-4723-be06-3982587ddcf3 · outbound

This paper cites Alkhatib, A., Ennadir, S., Bostr ¨om, H., and Vazirgiannis, M.

Prediction via Shapley Value Regression Alkhatib, A., Ennadir, S., Bostr ¨om, H., and Vazirgiannis, M

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:26:46.076645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.