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Paper Citation Record · LEDGER

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.17257.

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

pith.paper-citation-record.v1
2412.17257 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:47:52.496098Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d49a539-330c-4306-924a-4a15f504dcbe · outbound

This paper cites Mathematical Finance 9(3):203–228.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Mathematical Finance 9(3):203–228

Reference 1

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raw_fallback, observed 2026-08-11T05:47:52.728638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.449276Z digest=sha256:47f32bb0d742bca0512f61200db813aeaff777b716963d316a165b9486c3697c

Observation 5a162798-6424-416c-b3b7-1aa3403a07ae · outbound

This paper cites Let (v⋆,U ⋆) be the optimal solution of problem (13a), we have−p⊤ min{v⋆,U ⋆d}≥− p⊤ min{v⋆,d} as U⋆≤I and{ϱP} are monotonic risk measures.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Let (v⋆,U ⋆) be the optimal solution of problem (13a), we have−p⊤ min{v⋆,U ⋆d}≥− p⊤ min{v⋆,d} as U⋆≤I and{ϱP} are monotonic risk measures

Reference 2

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raw_fallback, observed 2026-08-11T05:47:52.660828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 01e9450f-3279-47d4-80a4-1fe56e4f6084 · outbound

This paper cites Let θ′ = (µ′,σ′) ∈ R2Nd + be an arbitrary moment parameter.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Let θ′ = (µ′,σ′) ∈ R2Nd + be an arbitrary moment parameter

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T05:47:52.683157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.474778Z digest=sha256:6c7ece8edaa2e2505bdf42d9c8808f686fcb8630dfd0251aa3dc129faee1a90c

Observation b419ebf9-14c0-4e67-b700-545d72a2e170 · outbound

This paper cites an unresolved cited work.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-11T05:47:52.671868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.478522Z digest=sha256:bfe30ca1f35b5fa9ad8e47d3b050e0ea8b38df3429f824ad5f3e16eb93379f92

Observation a420a40d-4b68-4642-b08d-d9b011b70463 · outbound

This paper cites By Jensen’s inequality, we haveEP(k)[g(x, ˜d)]≥g(x, EP(k)[ ˜d]) = g(x,k ˆµ) and then OPT(b(k),θ (k))≥ min x∈X(b(k)) c⊤x +g(x,k ˆµ) =V0(b(k),θ (k)), which completes the proof.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization By Jensen’s inequality, we haveEP(k)[g(x, ˜d)]≥g(x, EP(k)[ ˜d]) = g(x,k ˆµ) and then OPT(b(k),θ (k))≥ min x∈X(b(k)) c⊤x +g(x,k ˆµ) =V0(b(k),θ (k)), which completes the proof

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.485637Z digest=sha256:41b4fead31fc77f539fd3feca9d6651e0a9627d7408f0b27587da466273928fb

Observation 3b3750ab-2567-4728-b3fd-733dd26efe2c · outbound

This paper cites Capacity Management Problem with Product Substitution.We examine the capacity man- agement problem with product upgrades in Shumsky and Zhang (2009).

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Capacity Management Problem with Product Substitution.We examine the capacity man- agement problem with product upgrades in Shumsky and Zhang (2009)

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.488865Z digest=sha256:a49d6f08d6a0bc1d53cbb25e05d70afde01bf1ab95a3cfae706b64d5e2f49613

Observation 428fa1e7-dabd-498c-836c-bf1c76ac462b · outbound

This paper cites Moreover, we can findsJ1,...,s JNd such thaty≤ Uz, e.g., forj∈J i, set sj = yj/∑ k∈Jiyk.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Moreover, we can findsJ1,...,s JNd such thaty≤ Uz, e.g., forj∈J i, set sj = yj/∑ k∈Jiyk

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.492011Z digest=sha256:bc7a27cc46c8b97393d17bcc4b27891a71a193be6237902e540f6e91da194514

Observation f7c521bf-8596-4175-9b80-253c221fa9ef · outbound

This paper cites Simulation Details C.1.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Simulation Details C.1

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 876d2dd7-78f9-4c9b-9d7c-dd941ac2b426 · outbound

This paper cites Manage- ment Science 70(5):2799–2822.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Manage- ment Science 70(5):2799–2822

Reference 104

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.458529Z digest=sha256:06963a844afe471ce2dd6c018b6a1c83de02a54554f331c1ecf5d8bcd0c7db0f

Observation 7c8377a1-95be-4bc9-ad89-0c56eddb01cc · outbound

This paper cites Opera- tions Research Letters 45(4):377–381.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Opera- tions Research Letters 45(4):377–381

Reference 155

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raw_fallback, observed 2026-08-11T05:47:52.694368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:47:52.470729Z digest=sha256:8426d3b9f408740296f350cf48d5e4b15c288a0054c6dbacd67b536591d8a59e

Observation d4fa9ff7-99ba-4590-b070-df608c9be086 · outbound

This paper cites Nonconvex Optimization and its Applications 57:135–.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Nonconvex Optimization and its Applications 57:135–

Reference 594

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raw_fallback, observed 2026-08-11T05:47:52.705229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3ae8c2ba-a41c-4ec1-a878-267c994036ce · outbound

This paper cites Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry

Reference 618

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d97d621-a661-4cb6-b802-1e79dbf7fa6f · outbound

This paper cites Transportation Science 50(4):1360–1379.

Asymptotically Optimal Distributionally Robust Solutions through Forecasting and Operations Decentralization Transportation Science 50(4):1360–1379

Reference 3245

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:47:52.461876Z digest=sha256:ab29d599219ef683b1792c1bd7e447f2086fb74473c911dec898f33e73715020

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