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Paper Citation Record · LEDGER

Using Models at Runtime to Address Assurance for Self-Adaptive Systems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1505.00903.

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

pith.paper-citation-record.v1
1505.00903 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:52:58.036620Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 29c42681-0189-4ab8-99e6-653bf5fe009d · inbound

Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry cites this paper.

Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry Using Models at Runtime to Address Assurance for Self-Adaptive Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T03:52:58.036620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T03:52:58.036620Z digest=sha256:15f8b4a566ca96aa24dcf2919c6023e9cde24e8047956b8a3a5d5d80e0f6962a