Paper Citation Record · LEDGER

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2606.01540.

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

pith.paper-citation-record.v1
2606.01540 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:45:46.243327Z

measured 53 of 53 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 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

53 of 53 outbound references displayed

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verified fuzzy0
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External citation measurements

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Outbound references

Observation b6f8b120-0978-4a75-bd10-8211a6f4b03b · outbound

This paper cites Contributions to the Theory of Games , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Contributions to the Theory of Games , volume=

Reference 1

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Observation 5d6f33d5-70c6-473e-8ea8-2246abc135f0 · outbound

This paper cites Mathematics of Operations Research , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Mathematics of Operations Research , volume=

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Observation 1800c66e-d4fb-4f71-a605-61a665a8b194 · outbound

This paper cites Management Science , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Management Science , volume=

Reference 3

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This paper cites International Journal of Game Theory , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions International Journal of Game Theory , volume=

Reference 4

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions The many

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Reference 7

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This paper cites Advances in Neural Information Processing Systems , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

Reference 8

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Reference 9

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions 2025 , eprint=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation 080791de-09c8-4561-9abd-2d9e9b698734 · outbound

This paper cites International Conference on Machine Learning , pages=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions International Conference on Machine Learning , pages=

Reference 13

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 14

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Annals of Physics , volume=

Reference 16

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

Reference 17

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

Reference 18

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Unresolved cited work

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Observation 3a7f8ca2-b420-4b54-8eca-03636e3df956 · outbound

This paper cites Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models , volume =.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models , volume =

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions 1999 , publisher=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Journal of Medicinal Chemistry , volume=

Reference 24

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Compressing multivariate functions with tree tensor networks

Reference 25

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions International Conference on Learning Representations , year=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Learning to understand: Identifying interactions via the M

Reference 28

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions 1959 , publisher=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

Reference 30

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Tensor Ring Decomposition

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Physical review letters , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Computers & operations research , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions & Kourtis, S

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions SIAM Review , volume =

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Evaluating Attribution for Graph Neural Networks , url =

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions 2003 , Journal =

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Semi-Supervised Classification with Graph Convolutional Networks

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in neural information processing systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Scientific Data , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions International Conference on Learning Representations , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Bioinformatics , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions N´ u˜ nez Fern´ andez, M

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 51

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Advances in Neural Information Processing Systems , volume=

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Pith citing papers

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