Paper Citation Record · LEDGER

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2504.14356.

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

pith.paper-citation-record.v1
2504.14356 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:07.087929Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T17:51:29.832500Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T17:53:05.011955Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy15
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c9cebfc-27e7-4a8f-97b1-e2a6fd983908 · outbound

This paper cites Nature Machine Int elligence 1(5), 206–215 (2019).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Nature Machine Int elligence 1(5), 206–215 (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.320096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17ff5ef4-738f-4d21-9fb8-a57f314bbed4 · outbound

This paper cites Communication s of the ACM 61(10), 36–43 (2018).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Communication s of the ACM 61(10), 36–43 (2018)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.309240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc3f2b04-5f73-4288-b641-b9ba0a80599f · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:07.028134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 648bcb4a-d4a3-4ca3-8f74-8eeddd4bb37f · outbound

This paper cites In: Proceedings of the 22nd ACM SIGK DD Inter- national Conference on Knowledge Discovery and Data Mining, pp.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks In: Proceedings of the 22nd ACM SIGK DD Inter- national Conference on Knowledge Discovery and Data Mining, pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.298448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c627432-f079-439a-9c15-69ccb553b8f1 · outbound

This paper cites Advances in Neural Information Processing Systems 30 (2017).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Advances in Neural Information Processing Systems 30 (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.286874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2907f48a-cd53-4628-8856-9c96cfd1bd8b · outbound

This paper cites Knowled ge-based Systems 8(6), 373–389 (1995).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Knowled ge-based Systems 8(6), 373–389 (1995)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.275674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d7ae7d0-adee-435d-b6d1-fa46d9eaae64 · outbound

This paper cites FLAP 6(4), 611–632 (2019).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks FLAP 6(4), 611–632 (2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.264279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7dfe46cc-98ac-485b-a84a-50313d18f4c9 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:07.048316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283825c3-ddbf-4d7b-9cc4-1fbcdf724107 · outbound

This paper cites In: Adva nces in Neural Information Processing Systems, pp.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks In: Adva nces in Neural Information Processing Systems, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.251825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 471b8289-061b-4271-978b-fc92cd28b0db · outbound

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

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:07.055581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 781240d6-0a13-4496-89a0-0aa384314a72 · outbound

This paper cites In: International Confer ence on Machine Learning, pp.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks In: International Confer ence on Machine Learning, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.239866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ad42eb6-9573-4f32-9206-01f2fd92c8d9 · outbound

This paper cites Mathemat- ical Programming 183(1), 3–39 (2020) 19.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Mathemat- ical Programming 183(1), 3–39 (2020) 19

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.227567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67e65e3a-c57e-4498-9fdf-16040064c482 · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Solving Mixed Integer Programs Using Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:07.067165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0c58dde-c8a3-40f7-81d2-c043b3371273 · outbound

This paper cites Chemical Engineering Research and De sign 88(1), 55– 60 (2010).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Chemical Engineering Research and De sign 88(1), 55– 60 (2010)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.216253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50058438-fa26-477b-8bdf-645294779dfc · outbound

This paper cites Plos one 18(2), 0261029 (2023).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Plos one 18(2), 0261029 (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.204349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 931957d0-0a88-41d4-a595-fedfc2aaede3 · outbound

This paper cites IEEE Transactions o n Automatic Control 68(12), 7514–7529 (2023).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks IEEE Transactions o n Automatic Control 68(12), 7514–7529 (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.193682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6e25f69-9f12-42bd-972f-4e514bea4d0b · outbound

This paper cites Constraints 23, 296–309 (2018).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks Constraints 23, 296–309 (2018)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.182108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c1773c1-021d-4847-951b-e900ba02d050 · outbound

This paper cites In: International Conference on Artiﬁcia l Intelligence and Statistics (AISTATS) (2022).

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks In: International Conference on Artiﬁcia l Intelligence and Statistics (AISTATS) (2022)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.171554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87a999a6-7b2e-46b2-93e1-fb028fb78c03 · outbound

This paper cites In: Pr oceedings of the AAAI Conference on Artiﬁcial Intelligence, vol.

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks In: Pr oceedings of the AAAI Conference on Artiﬁcial Intelligence, vol

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:07.159370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 17eb4842-3047-4b35-a2b1-4bd935abf28f · inbound

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis cites this paper.

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:53:05.014666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.