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Paper Citation Record · LEDGER

A causal model of safety assurance for machine learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.05451.

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

pith.paper-citation-record.v1
2201.05451 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:46:15.693925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:03:56.634309Z

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 13d1e03c-7ab6-49f1-8de4-7ecbe836b850 · inbound

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles cites this paper.

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles A causal model of safety assurance for machine learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:15.693925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:15.693925Z digest=sha256:22f4c15e8b5e4f54c3f0d3244153acc37bbf90e428be8005a2369878bc9c029b

Observation 080723eb-6cbb-41db-b090-6d514811ba0a · inbound

Detecting Trojaned DNNs via Spectral Regression Analysis cites this paper.

Detecting Trojaned DNNs via Spectral Regression Analysis A causal model of safety assurance for machine learning

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:03:56.636235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T04:03:36.586890Z digest=sha256:487c8e1ea2927d58baeb2a60b27ffe4727c3bff1c8a5d26949bad215afa86a62