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Paper Citation Record · LEDGER

Reinforcement Learning in Economics and Finance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10014.

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

pith.paper-citation-record.v1
2003.10014 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:18:55.290533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:41:47.631336Z

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 7c3ba26b-c971-4c0a-b5d7-313207d227c5 · inbound

MIGT: Memory Instance Gated Transformer Framework for Financial Portfolio Management cites this paper.

MIGT: Memory Instance Gated Transformer Framework for Financial Portfolio Management Reinforcement Learning in Economics and Finance

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T13:18:55.290533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:18:55.290533Z digest=sha256:40cb16364cc7c93761c9fb339c37387e596bff9c80a62cea821f50f52da9e2fa

Observation f0aa8b99-4c92-4962-aca1-72dec6708d15 · inbound

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cram\'er Surrogate cites this paper.

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cram\'er Surrogate Reinforcement Learning in Economics and Finance

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:41:47.634784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:36:48.916557Z digest=sha256:443ef31d72b1f5d8ac4392656fa9e6f2fc8060e74ab982015d30f142f8666733