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Paper Citation Record · LEDGER

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.18148.

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

pith.paper-citation-record.v1
2607.18148 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:58:00.645214Z

measured 17 of 17 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

17 of 17 outbound references displayed

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External citation measurements

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Outbound references

Observation 595e260e-1b7f-4def-9479-02348046fd4f · outbound

This paper cites Totally positive matrices.Linear Algebra and its Applications, 90:165–219, 1987.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Totally positive matrices.Linear Algebra and its Applications, 90:165–219, 1987

Reference 1

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Observation 573daba6-6e2c-4dd4-9342-972862a93307 · outbound

This paper cites Polytopes and machine learning.International Journal of Data Science in Mathematical Sciences, 1(02):181–211, 2023.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Polytopes and machine learning.International Journal of Data Science in Mathematical Sciences, 1(02):181–211, 2023

Reference 2

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Observation c152e906-d1c5-48a3-a181-c39131d38760 · outbound

This paper cites Machine learning detects terminal singularities.Advances in Neural Information Processing Systems, 36:67183–67194, 2023.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Machine learning detects terminal singularities.Advances in Neural Information Processing Systems, 36:67183–67194, 2023

Reference 3

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Observation f9a41fde-7642-4be2-b22b-4318dafb69fc · outbound

This paper cites Advancing mathematics by guiding human intuition with AI.Nature, 600:70–74, 2021.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Advancing mathematics by guiding human intuition with AI.Nature, 600:70–74, 2021

Reference 4

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Observation ca339aab-b748-40e9-9dc6-0336a45f378e · outbound

This paper cites The signature and cusp geom- etry of hyperbolic knots.Geometry & Topology, 28:2313–2343, 2024.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial The signature and cusp geom- etry of hyperbolic knots.Geometry & Topology, 28:2313–2343, 2024

Reference 5

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Observation 08a32162-828f-42ba-8d33-e85f1b2fa43d · outbound

This paper cites an unresolved cited work.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Unresolved cited work

Reference 6

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Observation 020f0d53-82d5-4f0b-a406-8ad9414c8c81 · outbound

This paper cites Fallat and Charles R.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Fallat and Charles R

Reference 7

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Observation a9e17120-be8e-453a-b961-6768c28830a5 · outbound

This paper cites Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity

Reference 8

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Observation 657b6fd9-7cef-41d8-827e-7d19594f7293 · outbound

This paper cites an unresolved cited work.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Unresolved cited work

Reference 9

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Observation d675a320-6111-4d89-a17b-26ba1eafd54f · outbound

This paper cites Haralick, and Delaram Kahrobaei.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Haralick, and Delaram Kahrobaei

Reference 10

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Observation cdb50269-248e-4c77-be36-ee54e1f8db85 · outbound

This paper cites Stanford University Press, 1968.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Stanford University Press, 1968

Reference 11

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Observation 8cf6f660-40df-4241-b6a0-305a3f1de0a7 · outbound

This paper cites Data-scientific study of Kronecker coefficients.Experimental Mathematics, pages 1–14, 2025.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Data-scientific study of Kronecker coefficients.Experimental Mathematics, pages 1–14, 2025

Reference 12

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Observation 4be5b55c-7e75-4d01-b5c6-cb15ac551d63 · outbound

This paper cites Lundberg and Su-In Lee.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Lundberg and Su-In Lee

Reference 13

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Observation 50df7534-9642-48b4-8bf9-bd43e849c1ba · outbound

This paper cites an unresolved cited work.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Unresolved cited work

Reference 14

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Observation cd0035c1-760d-422d-a87e-2dba947cb5ee · outbound

This paper cites Cambridge University Press, 2010.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Cambridge University Press, 2010

Reference 15

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Observation a6404545-1cd0-4383-bfc3-ceccde8d4a3c · outbound

This paper cites Axiomatic attribution for deep networks.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Axiomatic attribution for deep networks

Reference 16

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Observation bca796e6-ab9c-47c2-8b5c-d287c6c5df5a · outbound

This paper cites Is deep learning a useful tool for the pure mathematician? InBulletin of the American Mathematical Society, 2024.

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial Is deep learning a useful tool for the pure mathematician? InBulletin of the American Mathematical Society, 2024

Reference 17

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Pith citing papers

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