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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=sha256:4948e146692ec8e8c4b161b9155cc86943377c8da728b11e415fdc888d219dd3

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=sha256:4b942a951f3413df7a8b8d94a4b0f00f0f1e2dde021cad54be91603ba98ec724

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:fa3f9111fc10285b7ee3e1ae51eac6da4a9115769a1b91c8864f3f8ad3078dfa

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=sha256:450e155ce5597234f794422bfe732147a03cd16655033a38ae8de41121d9f82c

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=sha256:78d083ba715701212cc68ec90b286ce80739306a53c2db99cdc9a7b3a29c3ff9

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:c0a3dc9d223fb36b6eb41434acc68ee2c25cb9e67cb2325c4cbf709857c5a209

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=sha256:6f8b3ff03114d37d271331381a5a931bd04be06513cbdaec47b5612709a0b219

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:a089416a784cb92048f145383bd0b3f482b8c44ee54174372cc3521e685b1c12

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=sha256:535316011a1ac66337a797cac53383584e65f0fbf4d9bb52b85c87d8a6617a71

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:da6babcd4c8fa0bc67115b17f24dc35af9edede0c00121fdc143cff6ef3bb9bc

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:b758dbf8228fc922371a02fd94a447b1b4b7325fc91554cebfceeb42de5df012

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:f3b1af997884150dd80fbebd792df0add2138dea68db419ab4f132e3e74f09a9

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=sha256:2c7a46602b80dcc7f57376b61d1a8b4316088b9c681817c8b3eaaf213fc08454

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=sha256:6509f9a9e1be0fe52f6b680199cb8b5bb33a147f0368f017bcfdf8f77c834cc2

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=sha256:9d7ca44f199fe6e8741f96db55019e89c352a69f732b886b35b1154ae8223751