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Paper Citation Record · LEDGER

Harnessing Structures for Value-Based Planning and Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.12255.

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

pith.paper-citation-record.v1
1909.12255 v3

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:56.745193Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:10:57.000090Z

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 979169ea-fcfe-42bb-964e-2503c335cffb · inbound

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks cites this paper.

The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks Harnessing Structures for Value-Based Planning and Reinforcement Learning

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:10:57.065060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-07T11:10:56.745193Z digest=sha256:1dd7a381d493cc6690a6167048da077f751813f5b79bb84b44a9421e570e7890

Observation 8044442a-f97a-4ac8-b9b7-632faaafbab5 · inbound

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents cites this paper.

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents Harnessing Structures for Value-Based Planning and Reinforcement Learning

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:08.829491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:08.829491Z digest=sha256:54874bc7ff3f4c267b510d82ed1f06031ca103c0ad1536306b95b4e377466c1d