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Paper Citation Record · LEDGER

Pontryagin Optimal Control via Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.14566.

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

pith.paper-citation-record.v1
2212.14566 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:00:03.443063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:01:17.802354Z

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 ddf875df-6caf-47ad-86bb-47bc8a4497d4 · inbound

Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning cites this paper.

Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning Pontryagin Optimal Control via Neural Networks

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:05.601710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T17:53:08.408400Z digest=sha256:81bb653222cd3371afd286ecbba809c45148d9516ccdde58a85ef5108eded04f

Observation 1bf8f778-f062-4278-bf80-bc84e5619deb · inbound

Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning cites this paper.

Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning Pontryagin Optimal Control via Neural Networks

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:01:17.803885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T03:00:03.443063Z digest=sha256:15198c572d9b460a123a3c8c7bc5caf4dbd7dd747a57f99925bcb4f87d0c89f9