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Paper Citation Record · LEDGER

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2412.10554.

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

pith.paper-citation-record.v1
2412.10554 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:56:41.344225Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

20 of 20 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e8656c3-d089-4b2f-af31-7115424571a7 · outbound

This paper cites Decision-focused learning: Foundations, state of the art, benchmark and future opportunities,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Decision-focused learning: Foundations, state of the art, benchmark and future opportunities,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 25ec9e77-2409-4ac2-b045-f4bc6d43ce7f · outbound

This paper cites Operation-adversarial scenario generation,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Operation-adversarial scenario generation,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c0e7b1ee-bdd9-41e0-8c8c-971d05b73d0e · outbound

This paper cites Vulnerability and impact of machine learning-based inertia forecasting under cost-oriented data integrity attack,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Vulnerability and impact of machine learning-based inertia forecasting under cost-oriented data integrity attack,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9e26a2fc-3d59-43dd-99aa-ebb25b7fab64 · outbound

This paper cites Task-based end-to-end model learning in stochastic optimization,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Task-based end-to-end model learning in stochastic optimization,

Reference 4

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 9acfbe57-c912-44d7-b7e0-a4619ec72e81 · outbound

This paper cites Toward value-oriented renewable energy forecasting: An iterative learning approach,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Toward value-oriented renewable energy forecasting: An iterative learning approach,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ee596e55-986f-468e-b78b-a84669698d0f · outbound

This paper cites Regression Equilibrium in Electricity Markets.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Regression Equilibrium in Electricity Markets

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e790edb-9122-4256-aced-7182b0a0767a · outbound

This paper cites Prescribing net demand for two-stage electricity generation scheduling,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Prescribing net demand for two-stage electricity generation scheduling,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T15:56:41.810944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4c08923e-a8e0-48b4-85a9-351e33608360 · outbound

This paper cites Prescribed robustness in optimal power flow,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Prescribed robustness in optimal power flow,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9425a89f-b5da-455d-ada9-6ef778359ac4 · outbound

This paper cites Learning decision- focused uncertainty sets in robust optimization,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Learning decision- focused uncertainty sets in robust optimization,

Reference 9

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dea32b26-b9ff-4a16-b154-3039dac3147f · outbound

This paper cites Data Valuation from Data-Driven Optimization.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Data Valuation from Data-Driven Optimization

Reference 10

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f2e5c685-56b8-4559-ac8d-94251d58a73a · outbound

This paper cites Revealing decision conservativeness through inverse distributionally robust optimization,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Revealing decision conservativeness through inverse distributionally robust optimization,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5d03f213-2b8b-43cc-abdf-1460b1d07d4b · outbound

This paper cites Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 158eb3f9-c032-4ab2-b644-4aae7de861c7 · outbound

This paper cites Distributionally robust end-to-end portfolio construction,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Distributionally robust end-to-end portfolio construction,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d8293b51-a876-4530-8a6b-43e411a53909 · outbound

This paper cites Differentiable Distributionally Robust Optimization Layers.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Differentiable Distributionally Robust Optimization Layers

Reference 14

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c6d8f78c-228d-4131-bb51-007dbbc9f1b7 · outbound

This paper cites Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 624acc20-32cb-4346-a890-c315f321a13b · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural networks,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Optnet: Differentiable optimization as a layer in neural networks,

Reference 16

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Source-reported events for the cited work

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Observation 7e963994-db21-45b0-bb8f-d623a01acf13 · outbound

This paper cites Differentiable convex optimization layers,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Differentiable convex optimization layers,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19377b66-d3c4-4e78-9c48-3188a56dbb1b · outbound

This paper cites Takayama, Mathematical economics.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Takayama, Mathematical economics

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d39419da-c0db-42ce-8b5f-960cfade1276 · outbound

This paper cites pandapower - an open-source python tool for conve- nient modeling, analysis, and optimization of electric power systems,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach pandapower - an open-source python tool for conve- nient modeling, analysis, and optimization of electric power systems,

Reference 19

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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 2026-08-16T06:30:59.297886+00:00.

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Observation b7b94c52-75ae-4731-a988-7e3284d2d35a · outbound

This paper cites CVX: Matlab software for disciplined convex programming, version 2.1,.

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach CVX: Matlab software for disciplined convex programming, version 2.1,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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