Pith. sign in

Paper Citation Record · LEDGER

An analysis of optimization problems involving ReLU neural networks

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.03016.

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

pith.paper-citation-record.v1
2502.03016 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:15:41.575349Z

measured 56 of 56 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

56 of 56 outbound references displayed

  • verified exact14
  • verified fuzzy15
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7ee03b6-c639-4569-b5b6-8808a45cd4c8 · outbound

This paper cites Mathematical Programming 183(1):3--39, doi:10.1007/s10107-020-01474-5.

An analysis of optimization problems involving ReLU neural networks Mathematical Programming 183(1):3--39, doi:10.1007/s10107-020-01474-5

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.371514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.371514Z digest=sha256:c56c11ca1281ce065594137d1060cdfdc2e27cd5f449e771f707555c16a30d76

Observation 9547ce80-bd71-4412-9fbb-46de56a89b5e · outbound

This paper cites Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks.

An analysis of optimization problems involving ReLU neural networks Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.376182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.376182Z digest=sha256:66a6ff19d2805a9bee183cedadad45d805938b36d21dab57810a709266903580

Observation ae25c705-055a-4a6b-a45d-ec1f6f32c41d · outbound

This paper cites ACM Trans Math Softw 22(4):469--483, doi:10.1145/235815.235821, ://doi.org/10.1145/235815.235821.

An analysis of optimization problems involving ReLU neural networks ACM Trans Math Softw 22(4):469--483, doi:10.1145/235815.235821, ://doi.org/10.1145/235815.235821

Reference 3

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T10:16:07.779031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.380285Z digest=sha256:705e69e7005784fadf697b3e8edd383503b9015374f473d7e8af8dd18e4ee3ec

Observation f3d39721-b565-4e22-aced-909afa5fedbd · outbound

This paper cites INFORMS J on Computing 34(4):2229--2248, doi:10.1287/ijoc.2022.1181.

An analysis of optimization problems involving ReLU neural networks INFORMS J on Computing 34(4):2229--2248, doi:10.1287/ijoc.2022.1181

Reference 4

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T10:16:06.996165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.384888Z digest=sha256:fd8bfa01eb9811d64a05e8a73f8eb963305c91dba78b8b20479703c1fe65ece4

Observation 781eeea0-0be6-4421-a779-4d2ca6e7e30a · outbound

This paper cites Management Science 62(5):1511--1531, doi:10.1287/mnsc.2015.2363.

An analysis of optimization problems involving ReLU neural networks Management Science 62(5):1511--1531, doi:10.1287/mnsc.2015.2363

Reference 5

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T10:16:06.010058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.388708Z digest=sha256:06019b81caf31429a17d2ebcb6fdaa09ad1ed2be3da792d09ccccee349ddddd9

Observation 304a4d22-7942-4bf5-9122-2022cf69427f · outbound

This paper cites Springer Science & Business Media.

An analysis of optimization problems involving ReLU neural networks Springer Science & Business Media

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:08.020234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.392732Z digest=sha256:700d61d8341b54d1eb8f14921f62b752ab14f487ba17bb81cf564793997a6f4d

Observation c440f60f-3df2-49e8-a7e7-e133b53bf49a · outbound

This paper cites Operations Research Letters 57:107194, doi:10.1016/j.orl.2024.107194, ://www.sciencedirect.com/science/article/pii/S0167637724001305.

An analysis of optimization problems involving ReLU neural networks Operations Research Letters 57:107194, doi:10.1016/j.orl.2024.107194, ://www.sciencedirect.com/science/article/pii/S0167637724001305

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.397020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.397020Z digest=sha256:f37cfd431e9c8202e9aa78f3b9b523a0f28dbbce475de1da9620c83ae5b5d845

Observation 5b6143d7-2432-47dc-9e45-0cd9c86b1e1b · outbound

This paper cites Physics Reports 1044:1--68.

An analysis of optimization problems involving ReLU neural networks Physics Reports 1044:1--68

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:08.008761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.400997Z digest=sha256:6b05e8e6d7734bbfd5596bb2a0a63d06e5b247d2f0c3c2210fc32b4a5cb875db

Observation 09cec4b5-2801-4f53-b402-00ea2a9e264e · outbound

This paper cites Journal of Machine Learning Research 23(349):1--8.

An analysis of optimization problems involving ReLU neural networks Journal of Machine Learning Research 23(349):1--8

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.997207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.404222Z digest=sha256:94324f7d8d1004a67bae2d9b518f7492c0abb06e3a0c0880c0d9e5e2e832b637

Observation 845f4bba-224b-44c3-b525-e0a2c69470c2 · outbound

This paper cites (2015) Keras.

An analysis of optimization problems involving ReLU neural networks (2015) Keras

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.986146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.407606Z digest=sha256:cf40e5a94a9fa35ef61625e53df72a536a3a16b0c301876c804a39455936e923

Observation 01bcb40c-cd07-4fcd-be38-af6677a74e34 · outbound

This paper cites Mathematics of Control, Signals and Systems 2(4):303--314, doi:10.1007/BF02551274.

An analysis of optimization problems involving ReLU neural networks Mathematics of Control, Signals and Systems 2(4):303--314, doi:10.1007/BF02551274

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.411228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.411228Z digest=sha256:d15b592dcddf11e5b6219fdcdd57c17ebbf7f2e4d2b391b27f41b99492746f93

Observation 17e9ae9c-ce91-48a2-8a54-3cea2389cfb2 · outbound

This paper cites Chemical Engineering & Technology 29(4):449--453, doi:10.1002/ceat.200500310.

An analysis of optimization problems involving ReLU neural networks Chemical Engineering & Technology 29(4):449--453, doi:10.1002/ceat.200500310

Reference 12

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.827254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.415335Z digest=sha256:885c3387823b2d7e5fc6e857b1265bc312bc68e8faa44d970e171c0621f692ac

Observation 21a1e2a5-bad4-4ea7-b013-a49e914f4e03 · outbound

This paper cites Constraints 23(3):296--309, doi:10.1007/s10601-018-9285-6.

An analysis of optimization problems involving ReLU neural networks Constraints 23(3):296--309, doi:10.1007/s10601-018-9285-6

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.418595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.418595Z digest=sha256:86334c336984c934b0af95c30cd9404e5ac4c9a30a5371e5e25ee9dcba532416

Observation 74da9357-859a-4a37-9854-67c5ef517a7f · outbound

This paper cites SIAM Journal on Applied Algebra and Geometry 6(2):216--242, doi:10.1137/20M1368902, ://doi.org/10.1137/20M1368902, https://doi.org/10.1137/20M1368902.

An analysis of optimization problems involving ReLU neural networks SIAM Journal on Applied Algebra and Geometry 6(2):216--242, doi:10.1137/20M1368902, ://doi.org/10.1137/20M1368902, https://doi.org/10.1137/20M1368902

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.422324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.422324Z digest=sha256:1ebcaa124ff79bfb01d2d9dee97c660e514c881cf6528a99322bd1bf19c31c00

Observation 524922a4-c0ff-4156-9ba3-f266fa2c4dd3 · outbound

This paper cites Computers & Chemical Engineering 131:106580, doi:10.1016/j.compchemeng.2019.106580.

An analysis of optimization problems involving ReLU neural networks Computers & Chemical Engineering 131:106580, doi:10.1016/j.compchemeng.2019.106580

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.425725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.425725Z digest=sha256:0af8e56d5e2d4153bcd5d13f46444f8bafe7db3834bc77f64c4c66f519b60057

Observation 18810dfd-ea17-44a7-93a5-7c2fb4285ca2 · outbound

This paper cites ://www.gurobi.com.

An analysis of optimization problems involving ReLU neural networks ://www.gurobi.com

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.429370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.429370Z digest=sha256:0415ad1998b6fa9ed38c3a69dc708844f75f1420ae3a16c18d5969e417a4c9f8

Observation b51fab74-ba94-4fd1-ac5c-5bd905ceadec · outbound

This paper cites In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1, MIT Press, Cambridge, MA, USA, NIPS '15, pp 1135--1143.

An analysis of optimization problems involving ReLU neural networks In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1, MIT Press, Cambridge, MA, USA, NIPS '15, pp 1135--1143

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.969143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.432622Z digest=sha256:1d0bb5a52d92726c10b62cd6ffee6490f0f17a5c4d0e98fd08b19f8674f1a092

Observation 4e1b1a7c-778b-4ba5-a8ec-6ea8f04f3bfa · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

An analysis of optimization problems involving ReLU neural networks Deep Speech: Scaling up end-to-end speech recognition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.435642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.435642Z digest=sha256:153cd87a9b9a0ceb9ae2898defbf23b0eb0418c62d9c0ec7ab5cf133c09e94d4

Observation d977f0e4-b55e-44eb-bf50-b273d104ba91 · outbound

This paper cites Mathematical Programming Computation 3(3):219--260.

An analysis of optimization problems involving ReLU neural networks Mathematical Programming Computation 3(3):219--260

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.958046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.439846Z digest=sha256:2c598be1d957396cdbbd274442ce8263eeb7472780f6a904745cdabd33b9c457

Observation a1594f3d-0054-4294-882c-c6d02320bb5c · outbound

This paper cites In: Proceedings of the 31st International Conference on Neural Information Processing Systems , Curran Associates Inc., Red Hook, NY, USA, NIPS '17, pp 2263--2273.

An analysis of optimization problems involving ReLU neural networks In: Proceedings of the 31st International Conference on Neural Information Processing Systems , Curran Associates Inc., Red Hook, NY, USA, NIPS '17, pp 2263--2273

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.946277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.443265Z digest=sha256:6301d1b889dd23d2300be555007d93a553d9aef1e141e76a486f756506e81777

Observation 046295f5-d4a8-47d3-811e-63c290a0c911 · outbound

This paper cites Neural Networks 4(2):251--257, doi:10.1016/0893-6080(91)90009-T.

An analysis of optimization problems involving ReLU neural networks Neural Networks 4(2):251--257, doi:10.1016/0893-6080(91)90009-T

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.446489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.446489Z digest=sha256:80ce345c0ec360c08e1353d982c351d3f232514f52680f00b3599da7ed55bc41

Observation 4351aa3d-1cc2-4784-8db4-3cc9f6247a18 · outbound

This paper cites When Deep Learning Meets Polyhedral Theory: A Survey.

An analysis of optimization problems involving ReLU neural networks When Deep Learning Meets Polyhedral Theory: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.449979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.449979Z digest=sha256:7d1d55c54a5de3bd15be94c0755aee8a4a004411f128c19f823511e80bb8ded0

Observation 7e551ac8-ede1-4f7a-8751-046b1f4e522c · outbound

This paper cites W ater R esources M anagement 28(1):41--63, doi:10.1007/s11269-013-0468-z.

An analysis of optimization problems involving ReLU neural networks W ater R esources M anagement 28(1):41--63, doi:10.1007/s11269-013-0468-z

Reference 23

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.772016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.453659Z digest=sha256:fc5e829ccd63d1f30f6d7933ecc3200f5525822878808a4c0a8f0d68038213ce

Observation 011828e3-a09f-4eb0-bc9d-ffef5842c61f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

An analysis of optimization problems involving ReLU neural networks Adam: A Method for Stochastic Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.457185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.457185Z digest=sha256:0a104648a646d0aee409108bb0f4209e1ca25c3b12b451713caafadb2dbfcc26

Observation 5b37dcd6-d2e6-467c-bdfc-e7d244b619f7 · outbound

This paper cites In: ESCAPE34 , ://www.aidic.it/BOA/24/BOA2401.pdf.

An analysis of optimization problems involving ReLU neural networks In: ESCAPE34 , ://www.aidic.it/BOA/24/BOA2401.pdf

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.932086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.461049Z digest=sha256:1d2fedbdca66180f0f840990c352f63242515f1fcb05dc9f0d6747959167938b

Observation 8c34fecc-21ed-42f3-9b49-75d8d63f1f63 · outbound

This paper cites In: Pereira F, Burges C, Bottou L, Weinberger K (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 25.

An analysis of optimization problems involving ReLU neural networks In: Pereira F, Burges C, Bottou L, Weinberger K (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 25

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.919863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.464278Z digest=sha256:464334a479bce713be76e048931f6208a2d6e33e5d44c7809f3adf26a7294fba

Observation fe37f5a7-d1c4-4d66-8f51-99d95959546d · outbound

This paper cites P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints.

An analysis of optimization problems involving ReLU neural networks P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T10:15:41.759709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.467838Z digest=sha256:9fa33c8c49eaa246f3d355e9515afba900b4d7b2709031dca9dd765aa394fe20

Observation 0fb217f6-02bc-444e-8995-4ed7365a0761 · outbound

This paper cites Equivalent and Approximate Transformations of Deep Neural Networks.

An analysis of optimization problems involving ReLU neural networks Equivalent and Approximate Transformations of Deep Neural Networks

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T10:15:41.743924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.473434Z digest=sha256:5d129f9e05b16ff84c10198f97a0749902625c876d392ca2662bf900f97ab608

Observation 6a58cb0d-5ecd-4e7f-8ab2-cc2b91cf3c53 · outbound

This paper cites arXiv preprint arXiv:240209092.

An analysis of optimization problems involving ReLU neural networks arXiv preprint arXiv:240209092

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.908118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.477490Z digest=sha256:af8f8737d8bf84f9dcde2a3c720a739542800ec182af497502972d65e9b8f96c

Observation a2bc2c5b-bb13-4ff6-832f-5de2e0cb06fd · outbound

This paper cites https://doi.org/10.5281/zenodo.5601907, doi:https://doi.org/10.5281/zenodo.5601907, ://github.com/ChemEngAI/ReLU_ANN_MILP.

An analysis of optimization problems involving ReLU neural networks https://doi.org/10.5281/zenodo.5601907, doi:https://doi.org/10.5281/zenodo.5601907, ://github.com/ChemEngAI/ReLU_ANN_MILP

Reference 30

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.727262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.480585Z digest=sha256:9d3fd84b0f67672a40955c465be58a2d97dbdeeb0f034f2dfbf2acd8c9d9e44d

Observation a8a82c6f-6d86-4532-bd7b-ea7114beec3f · outbound

This paper cites Computers & Chemical Engineering 179:108411, doi:10.1016/j.compchemeng.2023.108411.

An analysis of optimization problems involving ReLU neural networks Computers & Chemical Engineering 179:108411, doi:10.1016/j.compchemeng.2023.108411

Reference 31

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T10:15:42.418998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.483870Z digest=sha256:87af9c42592f81189aafbdf40f00b0eb0adf2a1c485546523f7ce3858a35c4b3

Observation 644d7668-7de0-4fc2-b4cc-c44056673138 · outbound

This paper cites In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2, MIT Press, Cambridge, MA, USA, NIPS '14, vol 2, pp 2924--2932.

An analysis of optimization problems involving ReLU neural networks In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2, MIT Press, Cambridge, MA, USA, NIPS '14, vol 2, pp 2924--2932

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.896682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.487260Z digest=sha256:d56ea4a67c3184673e190927fcf1740168002f41f1b9aa71307fa6f962e1a995

Observation 7822d3d5-e5d8-4d7f-ad3a-4200621528ca · outbound

This paper cites Chemical Engineering Research and Design 84(8):635--644, doi:10.1205/cherd.05096.

An analysis of optimization problems involving ReLU neural networks Chemical Engineering Research and Design 84(8):635--644, doi:10.1205/cherd.05096

Reference 33

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.715999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.490527Z digest=sha256:604f2376a93a46ef51fc188f78a7e17bd4321dd0a84f331a4eb0cb0375f28c91

Observation b9e5dd0f-e2d7-4ce4-b2bc-0a43d7b325ad · outbound

This paper cites an unresolved cited work.

An analysis of optimization problems involving ReLU neural networks Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:16:07.884841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.494107Z digest=sha256:50f88dbd76937b5029aad4100f29364c496c23d02008109944125617dbbf57ec

Observation 244efb99-1304-40f6-808f-a58597846734 · outbound

This paper cites In: Proceedings of the 34th International Conference on Machine Learning , PMLR, pp 2847--2854.

An analysis of optimization problems involving ReLU neural networks In: Proceedings of the 34th International Conference on Machine Learning , PMLR, pp 2847--2854

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.873423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.497617Z digest=sha256:5b326af63f2326a33da9f094f35f8898499286bddb94a2461618aeda3e17aed4

Observation 9a91babb-24a8-419d-a47c-ab928ca66e70 · outbound

This paper cites Journal of Global Optimization 81(1):109--152, doi:10.1007/s10898-020-00949-1.

An analysis of optimization problems involving ReLU neural networks Journal of Global Optimization 81(1):109--152, doi:10.1007/s10898-020-00949-1

Reference 36

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.703437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.501337Z digest=sha256:a1aede3cf2db32c578b0ac4e631925bd5853363324045094306e06106b122965

Observation 432ddfe3-987c-49c5-83b1-687a1a71b431 · outbound

This paper cites Chemie Ingenieur Technik 93(12):2029--2039, doi:10.1002/cite.202100083.

An analysis of optimization problems involving ReLU neural networks Chemie Ingenieur Technik 93(12):2029--2039, doi:10.1002/cite.202100083

Reference 37

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.692158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.505411Z digest=sha256:dff474b8f735428497f63efaf76b3d7963841d74dd937f1845ced0e024f8186c

Observation bb7d80d8-80db-4e07-83be-a9cd6b8aa3f2 · outbound

This paper cites Journal of Optimization Theory and Applications 180(3):925--948, doi:10.1007/s10957-018-1396-0.

An analysis of optimization problems involving ReLU neural networks Journal of Optimization Theory and Applications 180(3):925--948, doi:10.1007/s10957-018-1396-0

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.508862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.508862Z digest=sha256:a1bd5bc08b5d08d303f7e5f26ff364849429b48d79ba371acce400bf8bedbe75

Observation b5e99f22-f708-4cc6-a1ff-e2395ef8bbe2 · outbound

This paper cites an unresolved cited work.

An analysis of optimization problems involving ReLU neural networks Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.673843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.512600Z digest=sha256:8977c307cd559e5c46c62e069ddd314b0da1f65ede84b3c70bb8f2e47604cb91

Observation 4d9f92c8-b98e-4f17-807b-0dd62e6bfa79 · outbound

This paper cites In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics , Speech and Signal Processing ( ICASSP ), pp 4192--4196, doi:10.1109/ICASSP40776.2020.9053540.

An analysis of optimization problems involving ReLU neural networks In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics , Speech and Signal Processing ( ICASSP ), pp 4192--4196, doi:10.1109/ICASSP40776.2020.9053540

Reference 40

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T10:15:42.200941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.516270Z digest=sha256:443b5b5521bc569e2fd0d0e0c6a2b939b8426983e71abd3f105b8e10248374b6

Observation b1dff55a-2eb8-4dae-ae0f-77dec10b8f07 · outbound

This paper cites Journal of Machine Learning Research 15(56):1929--1958, ://jmlr.org/papers/v15/srivastava14a.html.

An analysis of optimization problems involving ReLU neural networks Journal of Machine Learning Research 15(56):1929--1958, ://jmlr.org/papers/v15/srivastava14a.html

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.861913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.519428Z digest=sha256:e6ceedf172b1d3feae1dc126b2d74772ab8220646a0a30013d5c2793acd19de5

Observation 60e4d4c5-1e0f-404c-97ac-651bbca9a71a · outbound

This paper cites an unresolved cited work.

An analysis of optimization problems involving ReLU neural networks Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-08-09T10:15:41.662234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.522786Z digest=sha256:5561c61ebee4d8210a765e8397d63a9534d72a1d0cbd768a29f52c18dfee33d7

Observation 060503a3-9247-474b-bd13-928279eac206 · outbound

This paper cites Journal of the Royal Statistical Society Series B (Methodological) 58(1):267--288, 2346178.

An analysis of optimization problems involving ReLU neural networks Journal of the Royal Statistical Society Series B (Methodological) 58(1):267--288, 2346178

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.850429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.526607Z digest=sha256:103e77b513f43731adf81e2203e3bec1cfb83c3b6442d56cfcce336dc61e48e8

Observation 61cad267-5f00-4f60-8bdc-405531bd2dca · outbound

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

An analysis of optimization problems involving ReLU neural networks Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.530285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.530285Z digest=sha256:8ba57dd5941fbb82f7e42f29fe8c0abf9481a0a54b2d34bf8c48be773c25bdde

Observation 4cbdd6fe-6a27-47b9-99e0-dfc032e2224d · outbound

This paper cites an unresolved cited work.

An analysis of optimization problems involving ReLU neural networks Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.533581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.533581Z digest=sha256:a93e6ce58d7098517435597f72419f05d24e504a7dabc5bc6a29abf8a7143376

Observation c33dc32c-603a-4a05-9cc6-e42ab34cb963 · outbound

This paper cites Partition-based formulations for mixed-integer optimization of trained ReLU neural networks.

An analysis of optimization problems involving ReLU neural networks Partition-based formulations for mixed-integer optimization of trained ReLU neural networks

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T10:15:41.632349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.537047Z digest=sha256:686bae9ba43cee204f7f42f7f45816cdc487267b052211d1d57b2ae5cc91a5d8

Observation 6662fec9-46e3-44ef-a5ee-15ea58171199 · outbound

This paper cites PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs.

An analysis of optimization problems involving ReLU neural networks PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T10:15:41.615496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.540866Z digest=sha256:e819520f67568bfffd5b9a0eacbd7a8c0a27ccb5ccc77e22589b95f4af364bc0

Observation 158d770a-80a4-4251-950d-fab2eb8129ba · outbound

This paper cites Nature Methods 17:261--272, doi:10.1038/s41592-019-0686-2.

An analysis of optimization problems involving ReLU neural networks Nature Methods 17:261--272, doi:10.1038/s41592-019-0686-2

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.544659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.544659Z digest=sha256:8ac0a044c50b8812bb0f13091566b41a7042281ff1a2ed32be901b4839576ec8

Observation 207300dc-e99d-495e-965c-49a2bcc95ca4 · outbound

This paper cites Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability.

An analysis of optimization problems involving ReLU neural networks Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:15:41.994038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.548075Z digest=sha256:f6e7ad3e443ef387c390563de1a6747febc1bba8e733f7e6f81d3bf774cb5922

Observation 9a550ca3-af24-4b00-983f-c612e90b3b21 · outbound

This paper cites In: 8th International Conference on Learning Representations, ://iclr.cc/virtual_2020/poster_SkeFl1HKwr.html.

An analysis of optimization problems involving ReLU neural networks In: 8th International Conference on Learning Representations, ://iclr.cc/virtual_2020/poster_SkeFl1HKwr.html

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:16:07.830211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:15:41.551660Z digest=sha256:3a20bd0e774d36c9082aeb630102020543230de892c7103d4c5aead0060de5f9

Observation 0ed642ca-0804-40bc-8c34-f1528575631b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

An analysis of optimization problems involving ReLU neural networks , " * write output.state after.block = add.period write newline

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.555419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.555419Z digest=sha256:16599d13c0560f81f6c5c53c13023315e609c5f0db980193ddf5dc920061396d

Observation 3de39a20-c80b-43f4-ba3a-1513f163e673 · outbound

This paper cites write newline.

An analysis of optimization problems involving ReLU neural networks write newline

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.559902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.559902Z digest=sha256:6ea048854ebcbfad6f60b02c6fb0ad2419704512985bcf009908b030e308dcf1

Observation 6c482dbd-55eb-4383-be64-4bf8f926dd29 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

An analysis of optimization problems involving ReLU neural networks , " * write output.state after.block = add.period write newline

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.564111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.564111Z digest=sha256:6d47759c9a0fd4cda1b0d18a1f102342b61ea699a2f570c3782c2e4773ca8b47

Observation d008b351-eceb-42e9-a2e8-bb64c6eee0cd · outbound

This paper cites write newline.

An analysis of optimization problems involving ReLU neural networks write newline

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.567686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.567686Z digest=sha256:6048417af9b023925361507ad4400fd6071ad7268166b9fd131eeffbe92f8c84

Observation cde9ab1f-70c3-47d6-a092-2d9eebc6b967 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

An analysis of optimization problems involving ReLU neural networks , " * write output.state after.block = add.period write newline

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.571665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.571665Z digest=sha256:ba2f78615cd8bbab7a80159202b6f984b1078b65aa51da2cb179b56739040357

Observation 96f489df-25b3-46c5-8dfa-152015e6d426 · outbound

This paper cites write newline.

An analysis of optimization problems involving ReLU neural networks write newline

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T10:15:41.575349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:15:41.575349Z digest=sha256:07c70fca450bb7a185c72350b8bafc051a936bdb6b2ce354f0f4d903bfb8fe52

Pith citing papers

No inbound Pith citation observations are available.