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Paper Citation Record · LEDGER

Multimodal Deep Reinforcement Learning for Portfolio Optimization

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2412.17293.

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

pith.paper-citation-record.v1
2412.17293 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:40:31.666117Z

measured 15 of 15 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 2026-05-10T15:31:21.815468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:21:04.363218Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 142a155b-c15a-4c69-a695-b4605be9217a · outbound

This paper cites Deep Reinforce- ment Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Deep Reinforce- ment Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.886082Z

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.

source=pdf_text observed=2026-08-11T05:40:31.612557Z digest=sha256:ca93427d454a62a551b737ad157df3bd5eb52cd0d11d2617f614eb73cc89bd73

Observation dfe08082-a0aa-44da-9162-7159e225f2c2 · outbound

This paper cites Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.872103Z

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.

source=pdf_text observed=2026-08-11T05:40:31.616856Z digest=sha256:66f4e56e3bb46c807d91b3acc013e8d74a0d8a0866a9540d69d057484b660542

Observation 54bc2193-8861-4223-b860-60c3b7a40420 · outbound

This paper cites Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:40:31.620841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:40:31.620841Z digest=sha256:af01c3fedfebf72c77a0a7d66cfabbe12b29f001d211478a5d6c9d76ac20ff9b

Observation 0b3dcf03-2c21-4179-8002-f84fb31c10ff · outbound

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

Multimodal Deep Reinforcement Learning for Portfolio Optimization A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:40:31.625252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:40:31.625252Z digest=sha256:802fbafce1cd31665a565cf4c12fb99a68143b65de3d7ab363138d9aaef1e1ec

Observation ec0bd1f4-7378-4d2f-86ac-c2a053d6bafc · outbound

This paper cites an unresolved cited work.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:40:31.858505Z

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.

source=pdf_text observed=2026-08-11T05:40:31.629539Z digest=sha256:70619138004b492677c3d51db512abb755009da03a08172a99310db26a566b92

Observation 55a789e8-0148-4626-95e2-ed5b7cf1f7ea · outbound

This paper cites MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System.

Multimodal Deep Reinforcement Learning for Portfolio Optimization MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:40:31.633619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:40:31.633619Z digest=sha256:716fcef9de33f70e1636031c35425e181733f6f0644819a7f4afb21d72ed03da

Observation 5df58e49-3545-4e00-88c6-817ccdb93932 · outbound

This paper cites CRSP daily stocks, 2010-2024.

Multimodal Deep Reinforcement Learning for Portfolio Optimization CRSP daily stocks, 2010-2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.845005Z

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.

source=pdf_text observed=2026-08-11T05:40:31.637657Z digest=sha256:9946e5ec8dabf710ba2db2b7f0800d385398fb391ba9eaab288c5064271a58e3

Observation b19fe688-9e81-4dca-bfdd-e982cd57878a · outbound

This paper cites an unresolved cited work.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:40:31.832840Z

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.

source=pdf_text observed=2026-08-11T05:40:31.642917Z digest=sha256:4c98568c2a7b5aeeec3fb3118b46d77545de1dfbd8db7b1f2ecdc562e6220ceb

Observation 5077581c-0297-4e91-9e4f-2a36f581f1fa · outbound

This paper cites an unresolved cited work.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:40:31.821002Z

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.

source=pdf_text observed=2026-08-11T05:40:31.646949Z digest=sha256:c96953e665af3d859450d738b1f2202322b6055eb6bcd5f6642d0c261aeeb286

Observation 42c920fd-e405-41d4-a484-ee9269250420 · outbound

This paper cites Daily finaincial news for 6000+ stocks, 2020.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Daily finaincial news for 6000+ stocks, 2020

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.805409Z

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.

source=pdf_text observed=2026-08-11T05:40:31.650633Z digest=sha256:630b402f61e4b1fedb6d2049e27e5ac1f0dca358cf67956c7779637be0575804

Observation a9e53f40-86c0-4899-8b97-574b7d210076 · outbound

This paper cites Moody and Lizhong Wu.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Moody and Lizhong Wu

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.788600Z

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.

source=pdf_text observed=2026-08-11T05:40:31.654227Z digest=sha256:af8ee32408256eb8d0ad272fff001aaebabc395b02be83743e5b1dfb77a88508

Observation bf922e8f-4e7e-441e-a88e-d4b65b981f6f · outbound

This paper cites Reinforcement learning for trading systems and portfolios: Immediate vs future rewards.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Reinforcement learning for trading systems and portfolios: Immediate vs future rewards

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.775400Z

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.

source=pdf_text observed=2026-08-11T05:40:31.658173Z digest=sha256:a043b76d08498a0535a8cad0b059911d394f00a213d8e7f4710ba188b73b37ea

Observation e0ca73d4-8bee-40eb-912e-c8df950ca377 · outbound

This paper cites an unresolved cited work.

Multimodal Deep Reinforcement Learning for Portfolio Optimization Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:40:31.761170Z

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.

source=pdf_text observed=2026-08-11T05:40:31.662288Z digest=sha256:6c7e864d527e227eb8e2148399ccf7829ca8dd0323f613e58514363a93aea16c

Observation 05787a46-3600-44c5-9da3-709e081e93d8 · outbound

This paper cites ∞X t=0 γtRt s0 = s # Qπ(s, a) = E π.

Multimodal Deep Reinforcement Learning for Portfolio Optimization ∞X t=0 γtRt s0 = s # Qπ(s, a) = E π

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:40:31.748379Z

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.

source=pdf_text observed=2026-08-11T05:40:31.666117Z digest=sha256:7a61d5775a68619975cddbe1c80e13c5ce9e94616e11ebf1e85f73dc92194c4b

Pith citing papers

Observation 56297cb4-32a8-4022-a950-72b03626cc6c · inbound

SBCA: Cross-Modal BERT-driven Actor-Critic for Multi-Asset Portfolio Optimization cites this paper.

SBCA: Cross-Modal BERT-driven Actor-Critic for Multi-Asset Portfolio Optimization Multimodal Deep Reinforcement Learning for Portfolio Optimization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:21:04.367649Z

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.

source=arxiv_source observed=2026-05-10T15:31:21.815468Z digest=sha256:2c985f40f6ff18ccefc3851be5c89a68a89fbb818be11249db8a88cb7d5cc727