Paper Citation Record · LEDGER

Structure-Informed Deep Reinforcement Learning for Inventory Management

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.22040.

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

pith.paper-citation-record.v1
2507.22040 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:12:46.244220Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact1
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05b2c852-8e4a-4f2f-ad38-72e8d7e528ee · outbound

This paper cites Learning an Inventory Control Policy with General Inventory Arrival Dynamics.

Structure-Informed Deep Reinforcement Learning for Inventory Management Learning an Inventory Control Policy with General Inventory Arrival Dynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.194341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e406a1f-0e5d-4dc8-92de-31b22329086a · outbound

This paper cites Deep Inventory Management.

Structure-Informed Deep Reinforcement Learning for Inventory Management Deep Inventory Management

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.227068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7349e878-9e80-4453-8320-521c9158b415 · outbound

This paper cites Variance Reduction for Reinforcement Learning in Input-Driven Environments.

Structure-Informed Deep Reinforcement Learning for Inventory Management Variance Reduction for Reinforcement Learning in Input-Driven Environments

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.230856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc164ae6-e5f3-47aa-9a36-026069e57751 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Structure-Informed Deep Reinforcement Learning for Inventory Management WaveNet: A Generative Model for Raw Audio

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.240981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df5bba4-b0a5-407b-b6e5-fedcd6ece0b9 · outbound

This paper cites Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization.

Structure-Informed Deep Reinforcement Learning for Inventory Management Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization

Reference 1951

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.198333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbec1f3a-0c03-458d-baac-af2ef0ef5510 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Structure-Informed Deep Reinforcement Learning for Inventory Management Adam: A Method for Stochastic Optimization

Reference 1960

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.219761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 106eef19-5796-41ff-9dd8-8fb842ce39ba · outbound

This paper cites How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?.

Structure-Informed Deep Reinforcement Learning for Inventory Management How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.216238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982f9912-44ac-4f2b-81a4-4fb83ac32411 · outbound

This paper cites Effective Dual-Sourcing Through Inventory Projection.

Structure-Informed Deep Reinforcement Learning for Inventory Management Effective Dual-Sourcing Through Inventory Projection

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:12:46.432778Z

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.

Observation 3b64227f-f450-4e22-a94e-ac4bc865b0ab · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Structure-Informed Deep Reinforcement Learning for Inventory Management Asynchronous Methods for Deep Reinforcement Learning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.223383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2479b434-f850-4bf6-b985-c99485db8e00 · outbound

This paper cites ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems.

Structure-Informed Deep Reinforcement Learning for Inventory Management ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.201951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319bc03a-a1cc-4dd8-b8d0-0ebf4d9b1e63 · outbound

This paper cites On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs.

Structure-Informed Deep Reinforcement Learning for Inventory Management On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.234443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c5d09a-bfd8-4734-823f-5b0631e18d58 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Structure-Informed Deep Reinforcement Learning for Inventory Management Proximal Policy Optimization Algorithms

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.237815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed92f707-0961-49b1-9312-230e91b0f871 · outbound

This paper cites VC theory for inventory policies.arXiv preprint arXiv:2404.11509,.

Structure-Informed Deep Reinforcement Learning for Inventory Management VC theory for inventory policies.arXiv preprint arXiv:2404.11509,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.244220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc77b74-c586-4f1f-8888-26808122f5d9 · outbound

This paper cites Neural Coordination and Capacity Control for Inventory Management.

Structure-Informed Deep Reinforcement Learning for Inventory Management Neural Coordination and Capacity Control for Inventory Management

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.208776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bff861f-4b41-423d-8967-2d9d703a3217 · outbound

This paper cites MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention.

Structure-Informed Deep Reinforcement Learning for Inventory Management MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.212767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.