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Paper Citation Record · LEDGER

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2603.13546.

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

pith.paper-citation-record.v1
2603.13546 v2

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T21:46:22.356005Z

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation b6827d66-34b2-42b0-988c-dc7de42eaef8 · outbound

This paper cites Statistical science8(1), 10–15 (1993).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Statistical science8(1), 10–15 (1993)

Reference 1

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Observation 33bbb866-60f5-43a7-8099-7f48b7ddae3a · outbound

This paper cites Cambridge University press (2004).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Cambridge University press (2004)

Reference 2

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Observation b75e1229-7727-40de-9239-8c495bf6ff30 · outbound

This paper cites Operations Research6(2), 244–251 (1958).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Operations Research6(2), 244–251 (1958)

Reference 3

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Observation 471d355a-3231-465a-a060-87905bbb0752 · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment2019(12), 124018 (2019).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of Statistical Mechanics: Theory and Experiment2019(12), 124018 (2019)

Reference 4

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Observation 04e24562-c6d1-4f71-87f7-6f34afeb1890 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology)79(3), 651–676 (2017).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of the Royal Statistical Society: Series B (Statistical Methodology)79(3), 651–676 (2017)

Reference 5

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Observation 3f97cedb-05a2-4d84-9964-e45e1873fae4 · outbound

This paper cites Journal of Mathematical Imaging and Vision63(7), 821–854 (2021).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of Mathematical Imaging and Vision63(7), 821–854 (2021)

Reference 6

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Observation 53ef9937-ac24-458f-a9d9-e58bfa3fa031 · outbound

This paper cites In: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, pp.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, pp

Reference 7

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Observation 797d8337-70ad-430d-ae1b-49d1ca732c71 · outbound

This paper cites Advances in Neural Information Processing Systems34, 8780–8794 (2021).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Advances in Neural Information Processing Systems34, 8780–8794 (2021)

Reference 8

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Observation b1015a3a-8660-4dba-854f-f28784f99c03 · outbound

This paper cites arXiv preprint arXiv:2509.07914 (2025).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization arXiv preprint arXiv:2509.07914 (2025)

Reference 9

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This paper cites Operator Splitting with Hamilton-Jacobi-based Proximals.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Operator Splitting with Hamilton-Jacobi-based Proximals

Reference 10

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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Unresolved cited work

Reference 11

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Observation d2862f10-8bd4-4bdb-8847-d58872ca0f41 · outbound

This paper cites Evolutionary Computation9(2), 159–195 (2001).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Evolutionary Computation9(2), 159–195 (2001)

Reference 12

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Observation 71ff7e58-b412-44bd-87b8-d6a3659bfa05 · outbound

This paper cites Communications on Applied Mathematics and Computation6(2), 790–810 (2024).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Communications on Applied Mathematics and Computation6(2), 790–810 (2024)

Reference 13

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This paper cites In: Advances in Neural Information Processing Systems.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: Advances in Neural Information Processing Systems

Reference 14

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Observation 213e2cef-3fc0-4cfb-b550-0d766c026b42 · outbound

This paper cites Proceed- ings of the IEEE58(5), 680–695 (1970).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Proceed- ings of the IEEE58(5), 680–695 (1970)

Reference 15

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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Unresolved cited work

Reference 16

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This paper cites Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (2011) 16 E.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (2011) 16 E

Reference 17

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Observation 3b48e7d0-40dc-49dc-a549-05808c1fba00 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Neural Networks.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: Proceedings of the IEEE International Conference on Neural Networks

Reference 18

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Observation 583ce02e-7deb-4c6b-b423-fa6b41f25774 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2015).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: International Conference on Learning Representations (ICLR) (2015)

Reference 19

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Observation 00f6952c-6105-4242-b4e4-3d0549d2cfc2 · outbound

This paper cites Science220(4598), 671–680 (1983).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Science220(4598), 671–680 (1983)

Reference 20

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This paper cites European Journal of Operational Research226(1), 1–8 (2013).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization European Journal of Operational Research226(1), 1–8 (2013)

Reference 21

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This paper cites arXiv preprint arXiv:2502.20833 (2025).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization arXiv preprint arXiv:2502.20833 (2025)

Reference 22

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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Unresolved cited work

Reference 23

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This paper cites In: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Reference 24

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 25

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This paper cites IEEE Transactions on Signal Processing57(1), 289–301 (2009).https://doi.org/10.1109/TSP.2008.2007606.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization IEEE Transactions on Signal Processing57(1), 289–301 (2009).https://doi.org/10.1109/TSP.2008.2007606

Reference 26

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This paper cites SIAM Journal on Computing24(2), 227–234 (1995).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization SIAM Journal on Computing24(2), 227–234 (1995)

Reference 27

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This paper cites Springer (1999).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Springer (1999)

Reference 28

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This paper cites Advances in Artificial Intelligence2012, 674832:1–674832:19 (2012).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Advances in Artificial Intelligence2012, 674832:1–674832:19 (2012)

Reference 29

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This paper cites Proceedings of the National Academy of Sciences120(14), e2220469120 (2023).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Proceedings of the National Academy of Sciences120(14), e2220469120 (2023)

Reference 30

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This paper cites Journal of Global Optimization11(4), 341–359 (1997).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of Global Optimization11(4), 341–359 (1997)

Reference 31

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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Unresolved cited work

Reference 32

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This paper cites Advances in neural information processing systems33, 21394–21405 (2020).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Advances in neural information processing systems33, 21394–21405 (2020)

Reference 33

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This paper cites SIAM Review43, 347–366 (2001).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization SIAM Review43, 347–366 (2001)

Reference 34

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This paper cites Journal of the Royal Statistical Society: Series B (Methodological)58(1), 267–288 (1996).https: //doi.org/10.1111/j.2517-6161.1996.tb02080.x.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of the Royal Statistical Society: Series B (Methodological)58(1), 267–288 (1996).https: //doi.org/10.1111/j.2517-6161.1996.tb02080.x

Reference 35

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This paper cites Journal of Machine Learning Research26(72), 1–36 (2025).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Journal of Machine Learning Research26(72), 1–36 (2025)

Reference 36

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Observation 111a7235-edaf-4ec8-be1e-31944674565b · outbound

This paper cites Neural Computation23(7), 1661–1674 (2011).

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Neural Computation23(7), 1661–1674 (2011)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-14T21:46:22.356005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:46:22.356005Z digest=sha256:17fa46270aadc8dad19b773b12ab2b9ef94e6aa3752fae24c2c8f9611f086d43

Observation c001b5f7-3347-4a4a-90b7-20bea10ece7e · outbound

This paper cites an unresolved cited work.

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-14T21:46:22.356005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:46:22.356005Z digest=sha256:62a2a5c699d45efae3ad659922e0bb608e5ab61056d79d836d7e1829c68368aa

Pith citing papers

No inbound Pith citation observations are available.