Paper Citation Record · LEDGER

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.07355.

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

pith.paper-citation-record.v1
2507.07355 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:47:58.769527Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

12 of 12 outbound references displayed

verified exact2
verified fuzzy5
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3b3f1fe-8725-44b1-9294-eb4871f8202d · outbound

This paper cites Language Models are Few-Shot Learners.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Language Models are Few-Shot Learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:00.683485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bba0a00c-7d79-420c-89fc-eda8883fd863 · outbound

This paper cites Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:00.304195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c47aa503-8796-43f3-b396-6f3ef734760b · outbound

This paper cites Assessing supply chain responsiveness, resilience and robustness (Triple-R) by computer simulation: a systematic review of the literature.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Assessing supply chain responsiveness, resilience and robustness (Triple-R) by computer simulation: a systematic review of the literature

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-06T18:47:58.640254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d031c05-77b3-49cc-9eee-4834bd252977 · outbound

This paper cites Challenges and opportunities in integration of simulation and optimization in maritime logistics.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Challenges and opportunities in integration of simulation and optimization in maritime logistics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:47:59.924342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 090bd6a2-386a-47ad-8b6e-c11ee502b714 · outbound

This paper cites Reinforcement Learning: An Introduction.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Reinforcement Learning: An Introduction

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:58.704180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cefe48e-eaa9-40f6-acd3-00415acb097c · outbound

This paper cites Non-Autoregressive Neural Machine Translation.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Non-Autoregressive Neural Machine Translation

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:00.085691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c730f83-5b52-453f-a567-d733322cdf9e · outbound

This paper cites DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS

Reference 2019

Resolution: verified exact; doi, observed 2026-08-06T18:47:58.946079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8848a961-2973-48ed-9563-fe4ab1825df6 · outbound

This paper cites Survey on Applications of Multi-Armed and Contextual Bandits.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Survey on Applications of Multi-Armed and Contextual Bandits

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:58.219122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06fd6cc1-a069-4f0c-bc28-806aa80b7358 · outbound

This paper cites A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions *.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions *

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:58.145680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d7b270-42f7-43c2-b13e-8b08d5d0dd8f · outbound

This paper cites A review on reinforcement learning algorithms and applications in supply chain management.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies A review on reinforcement learning algorithms and applications in supply chain management

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:58.596259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000eda6f-a3d3-434c-be37-142d2e6d7973 · outbound

This paper cites Exploration of an Intelligent Decision-making System for International Freight Forwarding Based on Simulation Optimization.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Exploration of an Intelligent Decision-making System for International Freight Forwarding Based on Simulation Optimization

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:48:00.512007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 519dc264-ca08-4e25-af51-cc1b8323b147 · outbound

This paper cites Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage.

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:47:59.711072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.