Paper Citation Record · LEDGER

Input convex neural networks as surrogates in mathematical optimisation

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.09707.

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

pith.paper-citation-record.v1
2608.09707 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:21:10.258752Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

48 of 48 outbound references displayed

verified exact8
verified fuzzy2
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86804e03-fcc7-4361-8d49-58af699bd8db · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:21:10.044729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6bcdb1-6762-45c3-9a58-6cf7bd76dc35 · outbound

This paper cites Input Convex Neural Networks.

Input convex neural networks as surrogates in mathematical optimisation Input Convex Neural Networks

Reference 2

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Source-reported events for the cited work

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Observation d1765981-6658-4646-ba69-b86e43f4732c · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation bf3a0e37-a2f4-4e71-b1f0-fdb85ba64fac · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 89d164ad-bffd-4ce5-98d2-66e00e3a906d · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 305aa26c-56f1-4336-b171-baceb0e3c490 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 81b3ae9e-f37a-40b0-ad81-13441c46328f · outbound

This paper cites Maximum Resilience of Artificial Neural Networks.

Input convex neural networks as surrogates in mathematical optimisation Maximum Resilience of Artificial Neural Networks

Reference 7

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Source-reported events for the cited work

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Observation d11a501a-0a22-4279-a763-f2a9a578ef23 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Input convex neural networks as surrogates in mathematical optimisation A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:21:10.082979Z

Source-reported events for the cited work

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Observation 60f256eb-2f17-42e9-a3cd-4962a01e20c0 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:21:10.087317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d2f2e4-27ec-4e00-862c-ffaff92cf05b · outbound

This paper cites B., & Bent, R.

Input convex neural networks as surrogates in mathematical optimisation B., & Bent, R

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:21:12.117554Z

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Observation 8c3a4a44-1fdc-4666-8b88-169731fab438 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation e1a994ed-a6e0-4619-8b7d-532486889bb0 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03f3569-6e24-4984-ac9c-2600209e0f07 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 139aee2b-b762-49fb-8760-dc48df064bfa · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T12:21:10.423583Z

Source-reported events for the cited work

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Observation 2025609a-cf68-4975-818e-ba1288464139 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d708ba1c-d7fa-4690-997c-95bd1eca2886 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 5d63e179-cdd5-431f-a560-58a89495577b · outbound

This paper cites & Andersson, H.

Input convex neural networks as surrogates in mathematical optimisation & Andersson, H

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:21:10.130843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56357555-4051-4000-91dd-7e4d6ed10ad6 · outbound

This paper cites Gurobi Optimizer Reference Manual.

Input convex neural networks as surrogates in mathematical optimisation Gurobi Optimizer Reference Manual

Reference 18

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Source-reported events for the cited work

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Observation 3f590524-850c-4546-b7b6-4658168b43c3 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9bf9e12-9c3c-463f-9fdc-0988d1b5cc1b · outbound

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Input convex neural networks as surrogates in mathematical optimisation & Hall, J

Reference 20

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Source-reported events for the cited work

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Observation afe45258-0785-4efe-b466-a6d8bc21a56c · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:21:11.710039Z

Source-reported events for the cited work

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Observation c6234258-76a5-4c1e-981e-25d1354792f8 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228a5a13-b7b8-4c2d-a019-063cee370daf · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289ceb68-0aa5-4b29-8889-f27de18af84b · outbound

This paper cites S., Ali, M., & Pistikopoulos, E.

Input convex neural networks as surrogates in mathematical optimisation S., Ali, M., & Pistikopoulos, E

Reference 24

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Observation 660bc13d-d21d-4284-b77e-3c95ba285833 · outbound

This paper cites H., Kwon, H., & Jeong, H.

Input convex neural networks as surrogates in mathematical optimisation H., Kwon, H., & Jeong, H

Reference 25

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T12:21:11.533823Z

Source-reported events for the cited work

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Observation 8ede5fdc-732b-44b0-b3df-08185e6fadc1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Input convex neural networks as surrogates in mathematical optimisation Adam: A Method for Stochastic Optimization

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 670cccf8-d3d9-4541-8bc2-d7cb1263e6f0 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 27

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Source-reported events for the cited work

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Observation a8cdf67d-90a9-4f4d-b7f0-fb68d42cf764 · outbound

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Input convex neural networks as surrogates in mathematical optimisation & Oliveira, F

Reference 28

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Source-reported events for the cited work

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Observation 5b09fe7f-f84a-4984-8fdc-376af5c99b37 · outbound

This paper cites ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming.

Input convex neural networks as surrogates in mathematical optimisation ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming

Reference 29

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Observation dad25439-34e0-4211-b4a0-bfcdde040dc1 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation 8f206673-9a31-48e2-a16a-68cc28545f43 · outbound

This paper cites Optimal transport mapping via input convex neural networks.

Input convex neural networks as surrogates in mathematical optimisation Optimal transport mapping via input convex neural networks

Reference 31

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Observation bf1f0085-1360-4964-ac4a-184c9d3df96b · outbound

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Input convex neural networks as surrogates in mathematical optimisation & Wiberg, H

Reference 32

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Observation 1feb568a-58e4-4775-ba73-5e7a1cc7f42c · outbound

This paper cites \.I ., den Hertog, D., & Fajemisin, A.

Input convex neural networks as surrogates in mathematical optimisation \.I ., den Hertog, D., & Fajemisin, A

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:21:11.364401Z

Source-reported events for the cited work

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Observation 3b68bde2-d4b7-46ad-bc43-703cf593c1be · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 34

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Observation 3e3cb203-0a4a-4ef4-90a3-7d7db76f3a97 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

Observation 8406928b-6b8a-4632-94dd-932f3aab30f1 · outbound

This paper cites Bounding and Counting Linear Regions of Deep Neural Networks.

Input convex neural networks as surrogates in mathematical optimisation Bounding and Counting Linear Regions of Deep Neural Networks

Reference 36

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Source-reported events for the cited work

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Observation 5254f220-4fb7-405e-ba93-20121eacf8f2 · outbound

This paper cites Evaluating Robustness of Neural Networks with Mixed Integer Programming.

Input convex neural networks as surrogates in mathematical optimisation Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 37

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 38

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 39

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Observation 58defa6e-3ee1-44bb-8bae-080f208a5ef9 · outbound

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 40

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:21:11.067798Z

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Observation 34145bd5-a75e-4da2-bef8-ce3260088617 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 41

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Observation c481a939-8b02-4072-a6a1-6f3857ca3b8e · outbound

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 42

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Observation 6fc183ec-fc43-4d91-99c0-980574a7c248 · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 43

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Observation 0d90c5ea-404f-4d1e-a256-d96920c02744 · outbound

This paper cites & Wang, J.

Input convex neural networks as surrogates in mathematical optimisation & Wang, J

Reference 44

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Observation a3bef834-9907-42e4-b36b-7081ff430798 · outbound

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Input convex neural networks as surrogates in mathematical optimisation & Bequette, B

Reference 45

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Observation eda421ef-8617-4916-aea4-1d92399dc817 · outbound

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 46

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Observation e6eec090-0f21-4e1a-b376-93d94d13e513 · outbound

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Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 47

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Observation f857a294-5af3-48a8-98c3-00dc515c7dbe · outbound

This paper cites an unresolved cited work.

Input convex neural networks as surrogates in mathematical optimisation Unresolved cited work

Reference 48

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Pith citing papers

No inbound Pith citation observations are available.