Paper Citation Record · LEDGER

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.03933.

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

pith.paper-citation-record.v1
2608.03933 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:28:30.133653Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact8
verified fuzzy3
unresolved15
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e30aae58-dcf6-4a5f-84b5-89737d1cea5b · outbound

This paper cites Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:28:33.033333Z

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 78506cbb-40fe-44cc-bd8b-e9c7c81c9906 · outbound

This paper cites 1957.Dynamic Programming.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability 1957.Dynamic Programming

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:28:34.074772Z

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 b39ca46d-224e-4cb4-bdc2-db845c0089a2 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:28:33.840049Z

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 5d1595a0-c618-47a6-a752-f30147354af7 · outbound

This paper cites Carroll and Miles S.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Carroll and Miles S

Reference 4

Resolution: verified exact; doi, observed 2026-08-05T05:28:31.372265Z

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 12da4b16-efd5-4b73-8e20-f9b528e2265a · outbound

This paper cites Cocco, Francisco J.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Cocco, Francisco J

Reference 5

Resolution: verified exact; doi, observed 2026-08-05T05:28:31.065479Z

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 33a6bbd0-664d-4754-8105-cd59c98a19ac · outbound

This paper cites Goodman, and Jonathan A.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Goodman, and Jonathan A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:27.448464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e01304-0528-456f-be1f-264426d3d2bb · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-05T05:28:27.563407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14096051-be24-489a-a3f7-7ce755dcb1b3 · outbound

This paper cites 2016.Deep Learning.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability 2016.Deep Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:27.667435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f41f95-c8b5-4260-8446-1d20a0a1d841 · outbound

This paper cites Deep Learning Approximation for Stochastic Control Problems.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Deep Learning Approximation for Stochastic Control Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:27.758490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8da8b9-ae0d-44ec-9f9a-48486a4ae3ed · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:27.895092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55fed3da-31f0-4d0e-ad88-c88fdc38e268 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T05:28:33.659016Z

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 75e156f9-a4fb-425f-9b15-20871083ef87 · outbound

This paper cites A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.114830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff087b80-086b-4456-b210-68023587e5d4 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.201141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f39e83-77de-43b5-80a8-e531c627bf1a · outbound

This paper cites Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.301772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea4af67-f011-4877-a25e-60836eaae1a3 · outbound

This paper cites Continuous control with deep reinforcement learning.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Continuous control with deep reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.409082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0ee181-b328-4b30-ab27-ea6da17241d0 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-05T05:28:30.737679Z

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 e54f719c-f058-46aa-ac68-7e1f353aa32b · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 17

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-05T05:28:32.715072Z

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 4da032e5-401c-4a10-b82c-087e7e09ee86 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.731378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4943357-6cbd-4306-b9bd-e43a02b1ef46 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Playing Atari with Deep Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.820951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d15008-6443-4f19-a4bf-7a5eb674ca4d · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:28.902877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b90f71-5c30-4868-b4e2-5b6f0ccdb08d · outbound

This paper cites A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:28:32.071279Z

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 96c7ef28-7a70-4b93-8bd9-22ac91ede638 · outbound

This paper cites 2023.Foundations of Reinforcement Learning with Applications in Finance.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability 2023.Foundations of Reinforcement Learning with Applications in Finance

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:28:33.522792Z

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 7ee1ccd3-8730-49f6-b229-96f9beef05de · outbound

This paper cites Learning from zero: how to make consumption-saving decisions in a stochastic environment with an AI algorithm.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Learning from zero: how to make consumption-saving decisions in a stochastic environment with an AI algorithm

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:28:31.712352Z

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 8418ba68-1aa9-4110-9ae5-cc20050457c1 · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:29.403841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911ed933-4f4d-466a-86a4-ba44bab84cfc · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:28:33.364260Z

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 f70cd350-547d-45ad-9976-aac9e8efadb0 · outbound

This paper cites Sutton and Andrew G.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Sutton and Andrew G

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:28:33.227643Z

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 b60168a6-42d6-4121-ab8a-9b8c4066731a · outbound

This paper cites an unresolved cited work.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-05T05:28:30.380758Z

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 11180c39-69dd-4634-93fa-4db260ce1870 · outbound

This paper cites Williams.

Simulation-Based Neural Policies for Portfolio Choice: Architecture, Training, and Interpretability Williams

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T05:28:30.133653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.