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Paper Citation Record · LEDGER

Integrated Learning and Robust Optimization

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.08718.

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

pith.paper-citation-record.v1
2608.08718 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:37:21.269176Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f988e891-6fa1-4d7b-a041-bd9ca3d8978e · outbound

This paper cites Advances in Neural Information Processing Systems, volume 32, 9562–9574.

Integrated Learning and Robust Optimization Advances in Neural Information Processing Systems, volume 32, 9562–9574

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.510874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.201474Z digest=sha256:a206f775db77e662596e7d55bf4056bd0ecd6bdc893c3392dc5b6fcbedc0367e

Observation 284dc5c6-4cc6-4146-b33a-d149ba1bc198 · outbound

This paper cites Since γ >0, the objective is strongly convex, so the minimizer is unique.

Integrated Learning and Robust Optimization Since γ >0, the objective is strongly convex, so the minimizer is unique

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.446470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.234903Z digest=sha256:1c2fec36057fec77b349c54321b8953166556633508d23a828fe103cf9a25ea9

Observation bc1ccf22-cbcb-4911-bcf6-f5e285cc1b2d · outbound

This paper cites an unresolved cited work.

Integrated Learning and Robust Optimization Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:21.382084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.254049Z digest=sha256:a1f6e8166c768e2d0ac83f736ece64f5cdfb4f98ec36dd0814d1a160a9ee3824

Observation 0395ae65-30a8-4fbb-b897-34b4f8f1d80e · outbound

This paper cites an unresolved cited work.

Integrated Learning and Robust Optimization Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:21.334020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.269176Z digest=sha256:156b590dae78e761f6ecc68cf725632e59aa5f47a56f69121063b50d90d0d01d

Observation c977c047-7ea0-45d6-b599-27ad16351f62 · outbound

This paper cites an unresolved cited work.

Integrated Learning and Robust Optimization Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:21.397065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.249328Z digest=sha256:ea38b6786aa3fdf7c747d6a35fe3dc1d2c4b6e8e8d84a5e6a55d0465adeeff05

Observation 65e2aca7-b5df-4123-9d50-15c6ccb7febd · outbound

This paper cites Strong duality and dual attainment hold because the primal is a concave quadratic maximization over a nonempty bounded polyhedron.

Integrated Learning and Robust Optimization Strong duality and dual attainment hold because the primal is a concave quadratic maximization over a nonempty bounded polyhedron

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.430749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.240076Z digest=sha256:41f7450d3471e0fedfde32a5520713acbe2b4b7d7ad79dc6304f903ad8093c4d

Observation afbc53d0-d3fb-4f02-a238-aecc1ee323ee · outbound

This paper cites an unresolved cited work.

Integrated Learning and Robust Optimization Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:37:21.413952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.244613Z digest=sha256:6fcf2d07d9a07e6f2593384ced38905297175323bb3435b57392c90b0a2f38e6

Observation 06e4953b-5065-4f9a-95fa-9da2c9492dfc · outbound

This paper cites NX i=1 σiφ(xi)⊤ F # . By Jensen’s inequality, Eσ,X.

Integrated Learning and Robust Optimization NX i=1 σiφ(xi)⊤ F # . By Jensen’s inequality, Eσ,X

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.366183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.258871Z digest=sha256:0245cef14e03f7ec5eb1e58626b8cf5d9fbb5eced8c1ecb7a5878ccb634af615

Observation c1ee3668-43e5-4423-a101-fac093f4cafe · outbound

This paper cites Advances in Neural Information Processing Systems, volume 33, 9508–9519.

Integrated Learning and Robust Optimization Advances in Neural Information Processing Systems, volume 33, 9508–9519

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.495499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.207954Z digest=sha256:cac6064d4272ec2fa9fc1b17bec5cc555ea29d888895ec603853b5a37ea877dc

Observation 82b9d00d-4db2-45a5-b492-1403e6063efa · outbound

This paper cites Taking expectation over the sample establishes (EC.15).□ Remark EC.1 (The two classes are not nested).Neither class contains the other.

Integrated Learning and Robust Optimization Taking expectation over the sample establishes (EC.15).□ Remark EC.1 (The two classes are not nested).Neither class contains the other

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.351563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.263950Z digest=sha256:12af3103fbfbc18cbbfb6df493ec6cf87bb9b14018b45413d34281d6e6191977

Observation 07883826-47bc-4fa5-b07c-93099b59efca · outbound

This paper cites Kannan R, Bayraksan G, Luedtke JR (2025) Technical note—data-driven sample average approximation with covari- ate information.Operations Research73(6):3245–3259.

Integrated Learning and Robust Optimization Kannan R, Bayraksan G, Luedtke JR (2025) Technical note—data-driven sample average approximation with covari- ate information.Operations Research73(6):3245–3259

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.218742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.218742Z digest=sha256:17e48e565cec5f7b25f025828333838d74ccdf54e1ab69b79bce09fa07537fda

Observation 3492f9fc-2b4f-4184-9016-f6bb68ba7a09 · outbound

This paper cites Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective.

Integrated Learning and Robust Optimization Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-14T04:37:21.212638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:37:21.212638Z digest=sha256:9b6cad7077a65bb2feaab73ef2c3b18de02709238642c472e968b1ed562981d2

Observation 3e630ebd-64ba-49ee-992e-b7bacf04530a · outbound

This paper cites Integrated Learning and Robust Optimization.

Integrated Learning and Robust Optimization Integrated Learning and Robust Optimization

Reference 1376

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.462178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.229766Z digest=sha256:eecae5dcdc68fc36e1ae240ab1d6451d03ea659ca9ea00e38c7ff07e14228fbf

Observation 93448476-7ae8-492e-bc44-7eb3d8a80020 · outbound

This paper cites Massart P (2000) Some applications of concentration inequalities to statistics.Annales de la Faculté des sciences de Toulouse: Mathématiques9(2):245–303.

Integrated Learning and Robust Optimization Massart P (2000) Some applications of concentration inequalities to statistics.Annales de la Faculté des sciences de Toulouse: Mathématiques9(2):245–303

Reference 1701

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:37:21.479768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:37:21.225103Z digest=sha256:a16d7f2a988175963e6396b6990eff198f9713b7fddc94af337648ce32dfec5b

Pith citing papers

No inbound Pith citation observations are available.