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Paper Citation Record · LEDGER

From Deep Learning to LLMs: A survey of AI in Quantitative Investment

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.21422.

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

pith.paper-citation-record.v1
2503.21422 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:55:23.148609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:26:51.907724Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a15cdad5-3251-41c4-add7-872679ffd006 · inbound

Large-scale portfolio optimization with variational neural annealing cites this paper.

Large-scale portfolio optimization with variational neural annealing From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:23.148609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:55:23.148609Z digest=sha256:fcdc650c208528f49ebd965128029ac2c409b46ff357c7166948af16c8442761

Observation bed038a2-d1fb-4fec-88b7-cd948d0a0211 · inbound

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:22:15.792036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:22:15.792036Z digest=sha256:f7fa4fe914b4e11dad344ffd48367041999540f2028f8fe6b2cfcac6b32c9045

Observation b90e4a7e-3642-473f-9cdb-5857488bd869 · inbound

QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning cites this paper.

QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:26:51.911113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T21:24:30.718571Z digest=sha256:e650d0e06065f4004868c0be00024e20dc842508ec399b5e9715e2f2256b7792

Observation fe626acb-58a5-4aa9-91a1-7eee48379936 · inbound

SoK: Security of Autonomous LLM Agents in Agentic Commerce cites this paper.

SoK: Security of Autonomous LLM Agents in Agentic Commerce From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.382913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:55:48.290563Z digest=sha256:347fc1ac4ae79ffcf64c6529bcdcfff03fe7c3e794fe70c6fcacf3ff9f41959b

Observation fd71320c-d86f-4eee-8c08-dc5a12c6eb16 · inbound

Hybrid Quantum Neural Networks: Theory, Implementations, and Applications cites this paper.

Hybrid Quantum Neural Networks: Theory, Implementations, and Applications From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T00:30:46.567266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:30:46.567266Z digest=sha256:03da791dcdd272f5f61b55fef1349d9bbaafa98d98accdbc14716f8c1322ca24