Paper Citation Record · LEDGER

Responsible Machine Learning via Mixed-Integer Optimization

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.05857.

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

pith.paper-citation-record.v1
2505.05857 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:43.605574Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

verified exact1
verified fuzzy4
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b5d6da7-be4b-4d91-b21a-8c07ccdeefb6 · outbound

This paper cites Engineering with Computers 1–19.

Responsible Machine Learning via Mixed-Integer Optimization Engineering with Computers 1–19

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:59:44.048804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01bb7b0c-7d37-47c3-863d-2e94ff095a25 · outbound

This paper cites Fair and Accurate Regression: Strong Formulations and Algorithms.

Responsible Machine Learning via Mixed-Integer Optimization Fair and Accurate Regression: Strong Formulations and Algorithms

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:59:43.785915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 428de54e-805b-4b7f-85fb-3aeac45cbe4b · outbound

This paper cites Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , 177–187.

Responsible Machine Learning via Mixed-Integer Optimization Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , 177–187

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:59:44.002071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1854e25-4e2f-4f31-81b5-1e45f2b4eff9 · outbound

This paper cites Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso.

Responsible Machine Learning via Mixed-Integer Optimization Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.571264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3293039-e03c-40cd-bac9-dbd42f897876 · outbound

This paper cites Advances in Neural Information Processing Sys- tems.

Responsible Machine Learning via Mixed-Integer Optimization Advances in Neural Information Processing Sys- tems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:59:44.017590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09af3e88-a8a4-4868-b415-0b2f2562c376 · outbound

This paper cites Rule Generation for Classification: Scalability, Interpretability, and Fairness.

Responsible Machine Learning via Mixed-Integer Optimization Rule Generation for Classification: Scalability, Interpretability, and Fairness

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.595495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807f95ef-c16e-421e-bf65-5d4752b60349 · outbound

This paper cites Learning Optimal Prescriptive Trees from Observational Data.

Responsible Machine Learning via Mixed-Integer Optimization Learning Optimal Prescriptive Trees from Observational Data

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:59:43.734432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f47cdd1f-5d6d-4ea9-a31f-5e365bb8929a · outbound

This paper cites Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability.

Responsible Machine Learning via Mixed-Integer Optimization Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.566642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d8370a-0b0f-4ff3-bde4-40277cbc7e61 · outbound

This paper cites Learning Optimized Or's of And's.

Responsible Machine Learning via Mixed-Integer Optimization Learning Optimized Or's of And's

Reference 397

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.605574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d73cce-0dd3-4039-bd16-a0ac9801f85e · outbound

This paper cites Learning Optimal Classification Trees Robust to Distribution Shifts.

Responsible Machine Learning via Mixed-Integer Optimization Learning Optimal Classification Trees Robust to Distribution Shifts

Reference 663

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.580484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635b3335-26e5-4a88-a0f4-44ba7f62a578 · outbound

This paper cites Computers & Operations Research 164:106515.

Responsible Machine Learning via Mixed-Integer Optimization Computers & Operations Research 164:106515

Reference 734

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:59:44.033068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c7d866b-004d-4e4a-94bd-103af4c9703c · outbound

This paper cites Robust support vector machines via conic optimization.

Responsible Machine Learning via Mixed-Integer Optimization Robust support vector machines via conic optimization

Reference 1000

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:59:43.807244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dfd49164-4887-45e1-bf27-d4d60f9ee338 · outbound

This paper cites Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance.

Responsible Machine Learning via Mixed-Integer Optimization Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:43.600816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365a0622-03c5-49bf-8f44-dd04f2b0e1f6 · outbound

This paper cites 2020 59th IEEE Conference on Decision and Control (CDC), 2190–2197 (IEEE).

Responsible Machine Learning via Mixed-Integer Optimization 2020 59th IEEE Conference on Decision and Control (CDC), 2190–2197 (IEEE)

Reference 2768

Resolution: verified exact; raw_fallback, observed 2026-08-15T22:59:43.986606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40ec01a2-9989-40b2-b858-509a650eca7a · outbound

This paper cites A Mixed-Integer Programming Approach to Training Dense Neural Networks.

Responsible Machine Learning via Mixed-Integer Optimization A Mixed-Integer Programming Approach to Training Dense Neural Networks

Reference 3203

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T22:59:43.696823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.