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Paper Citation Record · LEDGER

Black-Box Access is Insufficient for Rigorous AI Audits

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.14446.

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

pith.paper-citation-record.v1
2401.14446 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:12:57.318253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.070829Z

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 ec7c5c27-75ae-46d8-a531-c8013c951459 · inbound

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation cites this paper.

Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation Black-Box Access is Insufficient for Rigorous AI Audits

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T17:12:57.318253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:12:57.318253Z digest=sha256:507b7bdb69214510d70b8710090a9b12b8ec27b0698f6a2d07bf0166ac9fd9c3

Observation 12a40c67-8ce5-441d-8cc3-e7c4a83cb7fd · inbound

What AI evaluations for preventing catastrophic risks can and cannot do cites this paper.

What AI evaluations for preventing catastrophic risks can and cannot do Black-Box Access is Insufficient for Rigorous AI Audits

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T11:56:21.024293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:56:21.024293Z digest=sha256:ec0a58eabeec95529c9d500426410068433d0a6dcb717e59bbe9dd6f51407ab3

Observation e5ab265c-4d85-4e3b-a14a-b0f832318b6e · inbound

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off cites this paper.

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Black-Box Access is Insufficient for Rigorous AI Audits

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T17:34:04.117190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:34:04.117190Z digest=sha256:8bfe555ca58e1e51b59ef26795060d0511d4274ce4c7ab86622560f866cd7e10

Observation e30ca8a0-7ee2-4e0f-9eb8-31f4f77b1803 · inbound

Barriers to Evidence in AI-Related Cases and the Privatization of Proof cites this paper.

Barriers to Evidence in AI-Related Cases and the Privatization of Proof Black-Box Access is Insufficient for Rigorous AI Audits

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:31:13.838182Z

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=2026-05-22T07:30:55.511139Z digest=sha256:e4317a9eff5a829dac647ea6ddd2ed8cd7908033d9d7bcbaadaa303fa93947a8

Observation af711a77-0e17-4371-b160-828a25d95a55 · inbound

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective cites this paper.

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective Black-Box Access is Insufficient for Rigorous AI Audits

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.072159Z

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=arxiv_source observed=2026-06-27T20:04:17.744876Z digest=sha256:cce55e3043595434ac2a89c8de0a7ba788b6939bce54ba64f6aa25202436f6c5

Observation eda6589d-7bbd-4b63-889f-cfd9099c13f3 · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins Black-Box Access is Insufficient for Rigorous AI Audits

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-02T07:44:12.713365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:12.713365Z digest=sha256:055eb1df03f52e696041540ca9afa4309cc5b3259026c5dfab61e0442a62daa5