Pith. sign in

Paper Citation Record · LEDGER

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.13140.

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

pith.paper-citation-record.v1
2308.13140 v5

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:23:41.246961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:36:13.136413Z

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 8fa33474-7ba9-4be3-b33e-b212f9dcbdc8 · inbound

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality cites this paper.

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T23:23:41.246961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:23:41.246961Z digest=sha256:01aef5b4fcb07b7bdb75fdf82c3074863210378f8033dea582b14f2cfdf2de52

Observation 70ee006a-5631-438d-9959-25979bb76db5 · inbound

Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems cites this paper.

Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:36:13.141712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T11:36:39.916952Z digest=sha256:19a152b0aeb7eabbbf1133e8d4fd0b898d74f50688c99e90d52d8624b9343bc7