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Paper Citation Record · LEDGER

Human-AI Safety: A Descendant of Generative AI and Control Systems Safety

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.09794.

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

pith.paper-citation-record.v1
2405.09794 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:16:13.143777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:52:43.769406Z

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 512c8a5f-b354-4e8a-8e51-edb76631ef8d · inbound

Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems cites this paper.

Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems Human-AI Safety: A Descendant of Generative AI and Control Systems Safety

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T21:16:13.143777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:16:13.143777Z digest=sha256:d943085c996ab8875f871166917f1417855eed62a6c0251f08759d4d0e19bc51

Observation 9322caf5-0f8a-4473-93c6-b821227a4430 · inbound

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields cites this paper.

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Human-AI Safety: A Descendant of Generative AI and Control Systems Safety

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:52:43.772234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T07:49:37.878395Z digest=sha256:28fa7bf7122a24fde083628402d7bbabe6b6861456cca54206f063e2e23361a0