Paper Citation Record · LEDGER

Inverse Optimization via Learning Feasible Regions

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2505.15025.

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

pith.paper-citation-record.v1
2505.15025 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:24.581155Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:19:15.728254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.513646Z

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy19
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1c82121-1d85-4120-9343-8a6a0b01b809 · outbound

This paper cites write newline.

Inverse Optimization via Learning Feasible Regions write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.456587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6dcc696-a257-4d6f-adff-b8c59852636e · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:25.043630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e73a458-0bbb-4178-8316-697fbc0798d5 · outbound

This paper cites A., Kolarijani, A.

Inverse Optimization via Learning Feasible Regions A., Kolarijani, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:25.031590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62ba6940-849f-4d05-a65c-55ec8417bc36 · outbound

This paper cites Inverse optimization with noisy data.

Inverse Optimization via Learning Feasible Regions Inverse optimization with noisy data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.468964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5f6f8d-f55f-4500-a95e-170bcc83ca8f · outbound

This paper cites Inverse optimization for assessing emerging technologies in breast cancer screening.

Inverse Optimization via Learning Feasible Regions Inverse optimization for assessing emerging technologies in breast cancer screening

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:25.010058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44de7e56-8e8c-4528-a9af-62b7145dadd2 · outbound

This paper cites and Kuhn, D.

Inverse Optimization via Learning Feasible Regions and Kuhn, D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.994594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41c384b8-3c83-4615-bdea-08b2a268964f · outbound

This paper cites Emulating the expert: inverse optimization through online learning.

Inverse Optimization via Learning Feasible Regions Emulating the expert: inverse optimization through online learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.980335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8985e9a-b0bb-4987-8923-32834f5f91da · outbound

This paper cites Convex optimization algorithms.

Inverse Optimization via Learning Feasible Regions Convex optimization algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.967580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb5db463-5bbf-45d2-8455-60aee26ef95c · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:24.955876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d1afade-6396-497c-bdd9-3797e745f9dd · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:24.943347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8033c9df-08b7-4bc2-8519-208d94f2ed36 · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:24.931933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ba72b2e-01e6-43aa-9cd8-591c756a7eb4 · outbound

This paper cites An inverse optimization approach for a capacitated vehicle routing problem.

Inverse Optimization via Learning Feasible Regions An inverse optimization approach for a capacitated vehicle routing problem

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.921224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d0f0d7a-29a5-4859-b9b8-d1f66741b026 · outbound

This paper cites and Lohse, S.

Inverse Optimization via Learning Feasible Regions and Lohse, S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.909875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53919643-cf1b-47a0-a01a-d1d9f8c6e3d4 · outbound

This paper cites Offline reinforcement learning via inverse optimization.

Inverse Optimization via Learning Feasible Regions Offline reinforcement learning via inverse optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.512257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6267b07b-cce2-42a6-a5bb-466c38e11ad2 · outbound

This paper cites Generalized inverse optimization through online learning.

Inverse Optimization via Learning Feasible Regions Generalized inverse optimization through online learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.896362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e75d3b9e-af2b-43b1-94b3-e124d84a9ff1 · outbound

This paper cites predict, then optimize.

Inverse Optimization via Learning Feasible Regions predict, then optimize

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.520931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3835613c-dcb3-464b-ac83-709f139e203f · outbound

This paper cites and Mahmoudzadeh, H.

Inverse Optimization via Learning Feasible Regions and Mahmoudzadeh, H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.876182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eedbb276-cae4-484d-86c1-9700757821fe · outbound

This paper cites and Hamacher, H.

Inverse Optimization via Learning Feasible Regions and Hamacher, H

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.864634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1ff13c7-4d86-4ff4-b2a1-f90fca68c0d5 · outbound

This paper cites Imputing a convex objective function.

Inverse Optimization via Learning Feasible Regions Imputing a convex objective function

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.852238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec18540b-c6d1-4acc-b6c1-17157fb836c9 · outbound

This paper cites M., Bretas, A.

Inverse Optimization via Learning Feasible Regions M., Bretas, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.840463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be91d52a-73eb-45f4-9428-7e6bb9482ea5 · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.539702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c49ec2-c55d-45ae-8da0-3182479d654b · outbound

This paper cites A data-driven stackelberg market strategy for demand response-enabled distribution systems.

Inverse Optimization via Learning Feasible Regions A data-driven stackelberg market strategy for demand response-enabled distribution systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.819788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e530b9b-deed-4c25-b67e-3fbc5e5765bb · outbound

This paper cites A., and Kuhn, D.

Inverse Optimization via Learning Feasible Regions A., and Kuhn, D

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.806100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9620bbc-839c-4140-a0d5-6835113c826e · outbound

This paper cites Smooth minimization of non-smooth functions.

Inverse Optimization via Learning Feasible Regions Smooth minimization of non-smooth functions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:24.551810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f376f1a0-4bfa-4987-a8ec-e02791e9146a · outbound

This paper cites an unresolved cited work.

Inverse Optimization via Learning Feasible Regions Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:31:24.783730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd4e82c6-1f10-4e05-a49d-6d1b9881a140 · outbound

This paper cites M., Zugno, M., and Madsen, H.

Inverse Optimization via Learning Feasible Regions M., Zugno, M., and Madsen, H

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.769203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1f30be0-8429-4212-ad8e-cbe60234e5f1 · outbound

This paper cites Learning Linear Programs from Optimal Decisions.

Inverse Optimization via Learning Feasible Regions Learning Linear Programs from Optimal Decisions

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:31:24.621223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1b9ca26-16f8-4730-a9b8-cb1e6fc67a9d · outbound

This paper cites Data-driven pricing strategy for demand-side resource aggregators.

Inverse Optimization via Learning Feasible Regions Data-driven pricing strategy for demand-side resource aggregators

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.757087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98e1102f-64b2-41bf-b52f-f9801db70a42 · outbound

This paper cites Learning in inverse optimization: Incenter cost, augmented suboptimality loss, and algorithms.

Inverse Optimization via Learning Feasible Regions Learning in inverse optimization: Incenter cost, augmented suboptimality loss, and algorithms

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.745265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2cc56edc-5303-49f9-bfd0-5154df28c202 · outbound

This paper cites Inverse optimization for routing problems.

Inverse Optimization via Learning Feasible Regions Inverse optimization for routing problems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.733118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e23c9ebc-3581-4553-985e-55ec0b3a07d9 · outbound

This paper cites and Paschalidis, I.

Inverse Optimization via Learning Feasible Regions and Paschalidis, I

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:31:24.719050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation de4cf17d-eaee-4bf7-bf03-937f4d3b801e · inbound

Tight Generalization Bounds for Noiseless Inverse Optimization cites this paper.

Tight Generalization Bounds for Noiseless Inverse Optimization Inverse Optimization via Learning Feasible Regions

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:46:13.636449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 915dd648-4b3c-4a74-a7be-2cc4dad6041c · inbound

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference cites this paper.

Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference Inverse Optimization via Learning Feasible Regions

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:24:01.515830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.