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Paper Citation Record · LEDGER

Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.07160.

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

pith.paper-citation-record.v1
2302.07160 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:46:17.482375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:25:59.110195Z

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 57a5b071-e916-4e3c-964b-e7a7837f86ea · inbound

Acoustic Wave Manipulation Through Sparse Robotic Actuation cites this paper.

Acoustic Wave Manipulation Through Sparse Robotic Actuation Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T23:46:17.482375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:17.482375Z digest=sha256:f1d408aa2c3da9526df352b40b110dfb9d563d8b66a6f5a6736dc72a970bf036

Observation 30de372f-ea25-46bb-90cf-2dd92b152616 · inbound

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs cites this paper.

Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:25:59.119520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:09:00.155657Z digest=sha256:f3a79fc62c82f8a9b703f2b47c3240522c857d72c9b7f4a33423058f11d98b27