Paper Citation Record · LEDGER

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.11360.

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

pith.paper-citation-record.v1
2505.11360 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:04.353951Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:45:38.291747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:25.312792Z

Reference resolution

15 of 15 outbound references displayed

verified exact3
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation deaa5425-c3f3-4375-8db4-1153b760b990 · outbound

This paper cites an unresolved cited work.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:02:04.574699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 495c766a-9fa9-4f2d-a345-9c0adc9b36e5 · outbound

This paper cites Interior Point Solving for LP-based prediction+optimisation.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Interior Point Solving for LP-based prediction+optimisation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:02:04.427879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 652e830d-eeee-46db-a43f-7966db935fcc · outbound

This paper cites Pointer Networks.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Pointer Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.340188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10134f4a-a533-4563-936a-1095d26e7a8f · outbound

This paper cites We also train a ProjectNet model with T0 = 5 iterations, and compare the objective value of its solution for iterations up to T1 = 35 on testing data.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach We also train a ProjectNet model with T0 = 5 iterations, and compare the objective value of its solution for iterations up to T1 = 35 on testing data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.585353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ce21266-38a4-49cc-a95e-517eb8bf8ad6 · outbound

This paper cites doi: https://doi.org/10.1016/0020-0190(79) 90152-2.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach doi: https://doi.org/10.1016/0020-0190(79) 90152-2

Reference 1979

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.310402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62d7ce1-1ba3-468e-a82a-69a7129eae55 · outbound

This paper cites Yi-hao Kao, Benjamin Roy, and Xiang Yan.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Yi-hao Kao, Benjamin Roy, and Xiang Yan

Reference 1985

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.325100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49cf95a6-5294-441e-abe3-3ef9e0c05da8 · outbound

This paper cites doi: 10.1007/BF00363956.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach doi: 10.1007/BF00363956

Reference 1988

Resolution: verified exact; doi, observed 2026-08-15T21:02:04.384616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06164f96-3331-4624-9446-e5618f518ffc · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Neural Combinatorial Optimization with Reinforcement Learning

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.297493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a72e7f-e516-40ce-a1da-b2b3514848cb · outbound

This paper cites The Perils of Learning Before Optimizing.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach The Perils of Learning Before Optimizing

Reference 2004

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:02:04.544230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3d78c0e-c5d5-4633-b05f-f0914493786a · outbound

This paper cites Learning to Optimize.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Learning to Optimize

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.328745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c928b18-37a5-4892-ad26-21625bc6ba9b · outbound

This paper cites Differentiation of Blackbox Combinatorial Solvers.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Differentiation of Blackbox Combinatorial Solvers

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.343382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6ae480-c35f-425a-a9a7-e263be31c2b7 · outbound

This paper cites Online Contextual Decision-Making with a Smart Predict-then-Optimize Method.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Online Contextual Decision-Making with a Smart Predict-then-Optimize Method

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.332792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74adf68d-db31-47f5-a5e8-5eb7bc88f73a · outbound

This paper cites Learning with Differentiable Perturbed Optimizers.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Learning with Differentiable Perturbed Optimizers

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.302046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd22fd7-77b4-411c-b71d-766724ca359f · outbound

This paper cites Homogeneous Linear Inequality Constraints for Neural Network Activations.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Homogeneous Linear Inequality Constraints for Neural Network Activations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.321504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19de486-46a8-431c-92c6-03d3cfe0315d · outbound

This paper cites DC3: A learning method for optimization with hard constraints.

Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach DC3: A learning method for optimization with hard constraints

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:04.314011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a436e058-1363-476c-86bd-08fc43ed4dfc · inbound

A Solver-Free Training Method for Predict-then-Optimize cites this paper.

A Solver-Free Training Method for Predict-then-Optimize Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:59:25.314950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.