Pith. sign in

Paper Citation Record · LEDGER

POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.13297.

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

pith.paper-citation-record.v1
2403.13297 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:13:11.693177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:05:44.271032Z

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 d589509a-75c1-4bfc-b690-c492a949c3ed · inbound

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks cites this paper.

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T12:13:11.693177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:13:11.693177Z digest=sha256:0b55bded4f4178efe21e3934e85496dae7f7e99dda25d3ff6e9e190fec6c7d80

Observation ad462ccd-534d-4ed4-ace5-b6fb64d893a8 · inbound

ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints cites this paper.

ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:05:44.273273Z

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=2026-07-01T01:19:12.424654Z digest=sha256:b5f506dfd2f63a643b4ce590ad98dfa5ef8ac98d4f829e15fa3b08eb86a64fed