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Paper Citation Record · LEDGER

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.07762.

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

pith.paper-citation-record.v1
2607.07762 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:50:14.375126Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b23f131-08bd-4d81-b5ae-bc22bd98f2bc · outbound

This paper cites an unresolved cited work.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-07-10T18:57:32.160555Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:b5aaef30dd9599c805dc00bd07399ff613977c42932ce1652dd1293f3757041f

Observation e8beffaa-590b-41c3-8c6f-197ca01fff44 · outbound

This paper cites Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.652505Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:b1c4f15c28272495846553f2d3a2e8eb7b7f280a183b4ac983ad1294e2b51ce0

Observation 511503ea-d096-4d8b-8503-36ed0031a200 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Distilling the Knowledge in a Neural Network

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.661743Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:7e4558e8cabd7340de1fbe57d2e500a4b6ce63f80f8425b6b3ba2a41632b01b8

Observation f591889f-5bf3-4d51-9291-ab9afe78b14f · outbound

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

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Learning Optimal Classification Trees Robust to Distribution Shifts

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.649545Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:706c42cb76dc39c5f9a78f77276506658d04e758ae9755e59022dc94f1515a93

Observation 8fc71b77-144c-48ef-8acb-42f6a64e9175 · outbound

This paper cites Ma, J., Wang, J., Xuan, Q., Wang, Z.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Ma, J., Wang, J., Xuan, Q., Wang, Z

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.154205Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:d09e9a31db50c73c152c474360017e4222e9316353262fb093e9d0dcfa2e3a19

Observation 2f4aa829-c778-485d-abe4-d4e093edbf0e · outbound

This paper cites McDonald, T., Tsay, C., Schweidtmann, A.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives McDonald, T., Tsay, C., Schweidtmann, A

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-10T18:57:31.655369Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:02b7c8b8a12c91862dff4f576c9ea2c28e86dd668a351cdf8012e522c314f9d0

Observation 29e1b8a0-2855-4cb5-80dc-4b3d210b5f04 · outbound

This paper cites Parmentier, A., Vidal, T.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Parmentier, A., Vidal, T

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.152326Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:333ba2f4cab9db5fd78c760c1d8bcc303e07cef3d016e4cfeba5cb3b0b0616e6

Observation e711edfd-5193-411d-be07-5ce24c8f9505 · outbound

This paper cites Why should I trust you?.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Why should I trust you?

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.156128Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:fc875b1abd1fbf48e0a0233c3d1a60d37ff41b781df375ae20e707c3099ece3b

Observation 2a4345da-d99c-4637-874d-d47afb20290d · outbound

This paper cites Ruoss, A., Balunovic, M., Fischer, M., Vechev, M.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Ruoss, A., Balunovic, M., Fischer, M., Vechev, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.158273Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:0061b2f352fd83f158da10444cd20ef91f5e4e34c1ed968a554f2956ff7716ba

Observation 160e2ef8-655e-4a1d-9463-cc2163c295d6 · outbound

This paper cites Sun, Q., Justin, N., G´ omez, A., Vayanos, P.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Sun, Q., Justin, N., G´ omez, A., Vayanos, P

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.166535Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:8ccc4dd622bccad1cf10c9eab0f6d999d2675e4d8abc69645d01569a4dce8ba7

Observation 69aca67d-d26c-4615-b202-7edf52f30982 · outbound

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

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:57:31.647199Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:7664722bf36e2c050afb6187cd3b7f5778ac288d14a0b4d9053be17ad2c99b5f

Observation 5383501d-93dd-4769-aa59-7cabc01e27ca · outbound

This paper cites Vos, D., Verwer, S.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Vos, D., Verwer, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:57:32.164637Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:afd60903400dc67514de34a6b57e3f07b24d51fb62c8533d59ed836ec1d8ef79

Observation db3c6e15-e894-48eb-a3df-88ec2ce7f9e3 · outbound

This paper cites an unresolved cited work.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-07-10T18:57:32.162588Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:c05cfee862ccf79b545672047912628538ff810156dc8d18fc57a069a2476a96

Observation fff050f7-9608-4766-97de-a3c1b0345f32 · outbound

This paper cites A Unified Post-Processing Framework for Group Fairness in Classification.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives A Unified Post-Processing Framework for Group Fairness in Classification

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:57:31.658151Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:5da49acb60583776c613983dd4c4c46d352173d196dc79ee1aff53e7cd0e1c02

Observation 12b14847-46fc-4230-9973-4a006d0f3a9c · outbound

This paper cites Fairness-guided SMT-based Rectification of Decision Trees and Random Forests.

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives Fairness-guided SMT-based Rectification of Decision Trees and Random Forests

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.649735Z

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=pdf_text observed=2026-07-10T18:50:14.375126Z digest=sha256:7daa0531224805dfc575c35338f486a8012e956e519f9b139278a81dbe766e25

Pith citing papers

No inbound Pith citation observations are available.