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Paper Citation Record · LEDGER

On Bellman equations for continuous-time policy evaluation I: discretization and approximation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.05966.

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

pith.paper-citation-record.v1
2407.05966 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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:54:24.968030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.364779Z

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 2750a96c-a740-47de-976e-31865e521ad8 · inbound

Guidance for twisted particle filter: a continuous-time perspective cites this paper.

Guidance for twisted particle filter: a continuous-time perspective On Bellman equations for continuous-time policy evaluation I: discretization and approximation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:08:26.054735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:06:52.470243Z digest=sha256:d8245f85b5dd5c7897bd89ea35a8bd733669528870ddc6d20969ca3c0ef967fb

Observation d8f86f74-1241-4013-97e0-63bfc346e4a5 · inbound

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs cites this paper.

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs On Bellman equations for continuous-time policy evaluation I: discretization and approximation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T22:54:24.968030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:54:24.968030Z digest=sha256:c9a6664dc0d36dbf4265634c7b3f6d8bc4e48a5864fee164fc90e7bbef68aec4

Observation 153d46e1-9331-4b8c-9afa-a8f4f7189447 · inbound

Discretization error from regularized Reinforcement Learning to continuous-time stochastic control cites this paper.

Discretization error from regularized Reinforcement Learning to continuous-time stochastic control On Bellman equations for continuous-time policy evaluation I: discretization and approximation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:07.255528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T21:58:50.135773Z digest=sha256:dd2bfb82c9c17cacc8fa9353437df8bc05c630a9d1de86a9e3ea73eda8cc70eb

Observation 0c6a27e9-382c-4505-b43a-f8eebf07a442 · inbound

PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control cites this paper.

PhiBE-Q-Learning: Bridging Off-Policy Reinforcement Learning and Continuous-Time Control On Bellman equations for continuous-time policy evaluation I: discretization and approximation

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:43.722513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T11:59:18.223000Z digest=sha256:b2354899600f052ed59a9c56fa18305caf953179dc3f1a5b815666e3681efa17

Observation 8d9844db-447e-4d22-9385-86cd96ee6b4e · inbound

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data cites this paper.

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data On Bellman equations for continuous-time policy evaluation I: discretization and approximation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:53.366821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T04:28:37.809929Z digest=sha256:5921f8ffb104ecfb14d4a9aedce678703e1810eaf06ef84a5e0074324d7f6768