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Paper Citation Record · LEDGER

Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.13148.

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

pith.paper-citation-record.v1
2401.13148 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T09:26:58.470076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:29:57.040791Z

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 6ff33828-81d6-4a80-a290-d873fb3108b3 · inbound

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.801537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T22:37:32.388931Z digest=sha256:d9daf8386968e57490e20144580dcfd7cf48bde85ff3cd874b4cefe29da51e21

Observation d7b13222-8575-458d-8cd0-39d8723f071b · inbound

Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability cites this paper.

Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:52.647042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:29:28.827116Z digest=sha256:3ecea72efe2d802ec166916686a80a67566fbce82d4994c61078905a176af34f

Observation 83d4ef7f-c0bc-4a05-b15e-ccef105ac40f · inbound

Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability cites this paper.

Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:29:57.042623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T09:26:58.470076Z digest=sha256:7bc1fc16e4228504ec2f97fe53010d9c13ea6c5c443dc1b3d4aef5cf0398e8e3