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Paper Citation Record · LEDGER

Assurance of AI Systems From a Dependability Perspective

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.13948.

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

pith.paper-citation-record.v1
2407.13948 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:23.882213Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2db38281-c978-47fe-acb5-cde6d3070dbd · inbound

Safety case template for frontier AI: A cyber inability argument cites this paper.

Safety case template for frontier AI: A cyber inability argument Assurance of AI Systems From a Dependability Perspective

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T22:01:11.247135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T22:01:11.247135Z digest=sha256:b728eaba3e4728a52023d4b600b07c4c3a48113f5e7d2eea6bb320c7840023c9

Observation e5b5e353-5dfd-45bf-a606-8ccff4489b86 · inbound

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems cites this paper.

Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems Assurance of AI Systems From a Dependability Perspective

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:24.123174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:24.123174Z digest=sha256:f46942dea03357cdb0adec7e9fc93be5784a2711af9cba7c30cef645775f91f3

Observation a15c8d27-e579-4b0f-a0f2-173e5ea33ed3 · inbound

Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds cites this paper.

Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds Assurance of AI Systems From a Dependability Perspective

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:23.882213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:37:23.882213Z digest=sha256:0c44e826dd98e74965a2a90bfe82c751591073a47f7bdfb4a6905d8239f76510

Observation 0cb5294e-b796-4177-951b-3fdc09958c5c · inbound

Understanding: reframing automation and assurance cites this paper.

Understanding: reframing automation and assurance Assurance of AI Systems From a Dependability Perspective

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:50:48.637077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:33:24.003220Z digest=sha256:ae9f500784bb5083024f0a9a68bc952f7e88adc71aa6711cb1fd3635575bd877

Observation a5a19e61-de11-470e-8323-9c4bf3c15fc5 · inbound

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering cites this paper.

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering Assurance of AI Systems From a Dependability Perspective

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:47:34.977874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T18:45:37.374686Z digest=sha256:2b831ae30a579d697f3f2fe1ee282c0fe88656b5f03c4004225fe3b27a4eae43

Observation e1ac7e26-6704-4c58-bfb8-f5d44876df27 · inbound

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering cites this paper.

Not All Anquan Is the Same: A Terminological Proposal for Chinese Computer Science and Engineering Assurance of AI Systems From a Dependability Perspective

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:09:48.323347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T06:07:30.893671Z digest=sha256:e8021061b4eca128708c28d7ec812f610f4b2122f5036929c57990e1b99c696f

Observation caabf259-a088-459a-bb27-e1e886c71b6b · inbound

CEDAR-42001: From ISO/IEC 42001 Conformity to Architecture-Aware, Audit-Visible Assurance Posture for AI Cyber-Physical Systems cites this paper.

CEDAR-42001: From ISO/IEC 42001 Conformity to Architecture-Aware, Audit-Visible Assurance Posture for AI Cyber-Physical Systems Assurance of AI Systems From a Dependability Perspective

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:39:39.352636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T13:04:50.521046Z digest=sha256:1f54f0100fcbc4893731b6c96d75b4836db99adf118740fc117e30b3c6823d0f

Observation 4c7ef342-f662-441c-a046-a24ed6d27b45 · inbound

From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resilient Agentic AI cites this paper.

From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resilient Agentic AI Assurance of AI Systems From a Dependability Perspective

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T15:21:34.508973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:21:34.508973Z digest=sha256:198783f54ea3c67fa0b21f74a4d60ba328b315927f092b9de68a001018928836