Pith. sign in

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=sha256:3fb6cffe9c1d3ca68cf6e55fc513b1fba79faff5c5d741960d56302f2f57aff1

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:d06e19817e350bc5c2de2a3d81d9350f57889f132e79a46fa5574625aa3a44c7

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=sha256:608695029802d530ab4d136c13bcec405c4ed7b7c10b250406efd7dc30ef7cfb

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:d67bff5992de0a62a5c4c3ab891975dc043d519e415e4a75fd3ccea98cbd2085

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=sha256:234bbf1be4f31fb6ca8dc9af7093f97c8629dfd06b36829eb8ae5c7f45bb74b1

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:f49db4256764e8d3d01d662e370a91a0e10877017e4d03330799cdb06e7a515e

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=sha256:25fe19daaa817c0dcba053f8736adda0a31823cacd14d30c96d7c240b1d75afb

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:dceeec0db8b655b4a7103d4322f9bd910bc164878f8d45d93d8d460d4ccc39b3

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=sha256:96d2956531f5bcd9c1c90d910d608505f655a5cbbb1fcf2232d734dfe04c7c1d

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:f48fbb96216c353cd07906c4be173ae7b42d0ecdfcf4b102d3f3afd0d826e5ed

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=sha256:259b308d4fa5350a59ce3d2d06096d5efde4133df228ba571b0afa2699171c3c

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:a04a6e55cd4acf6f0619ae5790f750d0acc7078b8bbf3a78c68ba5d8a87ce217

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=sha256:05d0bbfef7fcc9d3e7228f2110628e3ee34a45f79c76584e2d41b38fcea2bab6

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=sha256:99857ec223e7233c518b5d29e9bf818f47b09bfe3cb118b10e06a3f4cfd727f3

Pith citing papers

No inbound Pith citation observations are available.