Paper Citation Record · LEDGER

The BIG Argument for AI Safety Cases

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.11705.

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

pith.paper-citation-record.v1
2503.11705 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:26:12.726764Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:07:40.916143Z

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 4d2b496d-b54c-4b7b-ad2b-c257170276fd · inbound

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs cites this paper.

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs The BIG Argument for AI Safety Cases

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T14:26:12.726764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc77f94-31df-4af1-962a-62b38ff591cb · inbound

Safety Case Patterns for VLA-based driving systems: Insights from SimLingo cites this paper.

Safety Case Patterns for VLA-based driving systems: Insights from SimLingo The BIG Argument for AI Safety Cases

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T00:01:45.452952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34622003-fe46-45a8-b5c1-cfee5aaf61a2 · inbound

AI Assurance in UK Defence: Challenges in Operationalising JSP 936 cites this paper.

AI Assurance in UK Defence: Challenges in Operationalising JSP 936 The BIG Argument for AI Safety Cases

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.457280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3630d687-5e5d-46e3-a3fd-c2eb8102e577 · inbound

What Types of Human-AI Teams Exist? cites this paper.

What Types of Human-AI Teams Exist? The BIG Argument for AI Safety Cases

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:40.917646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8426c1dc-bf3d-4e99-b9ad-ce8d7cc093b6 · inbound

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems cites this paper.

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems The BIG Argument for AI Safety Cases

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T12:54:33.002112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.