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Paper Citation Record · LEDGER

Deployment Corrections: An incident response framework for frontier AI models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.00328.

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

pith.paper-citation-record.v1
2310.00328 v1

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 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:47.175048Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:43:59.966511Z

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 0d51d1b3-0cd1-435f-8b5f-a8ecc8fa608a · inbound

Authenticated Delegation and Authorized AI Agents cites this paper.

Authenticated Delegation and Authorized AI Agents Deployment Corrections: An incident response framework for frontier AI models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T19:50:42.560806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:50:42.560806Z digest=sha256:d1c0ffa30c6cf21a4b8d646140f3a07c8c0dca44a99d30ca6eb856cf337b5669

Observation 29c4bdd1-f6c2-4789-acef-c66f20a0dfd9 · inbound

Bare Minimum Mitigations for Autonomous AI Development cites this paper.

Bare Minimum Mitigations for Autonomous AI Development Deployment Corrections: An incident response framework for frontier AI models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:30:47.175048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:30:47.175048Z digest=sha256:f9b7f877443392c4e958741742eb1c02ea03022a6b7448577ebc7320679c535d

Observation c495d976-4365-4bf8-b6cf-fcaa51efe02a · inbound

Adapting Probabilistic Risk Assessment for AI cites this paper.

Adapting Probabilistic Risk Assessment for AI Deployment Corrections: An incident response framework for frontier AI models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T10:17:04.892392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:17:04.892392Z digest=sha256:940c5cee840097fbb5dd0074e119ac894a68e66df4fb98ef1a645a430c07169e

Observation e4df4c16-f50e-4312-b822-ba935515fb77 · inbound

Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation cites this paper.

Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation Deployment Corrections: An incident response framework for frontier AI models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:32.082219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:32.082219Z digest=sha256:32903afb5cab8946b8bc8b818b8986d695850aa8dc765eaefe9ee2aa75589326

Observation e561e625-8416-46d3-b5f0-51b96aad5a46 · inbound

Third-party compliance reviews for frontier AI safety frameworks cites this paper.

Third-party compliance reviews for frontier AI safety frameworks Deployment Corrections: An incident response framework for frontier AI models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T04:17:18.639706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:17:18.639706Z digest=sha256:4aa896d01b24a82e210f7b4d0f63599be0234da03769fb99abcb45d35bd167b6

Observation 4da02e0a-9178-41c8-b244-4a51541b2160 · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems Deployment Corrections: An incident response framework for frontier AI models

Reference 212

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:43:59.970245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T15:43:59.337773Z digest=sha256:08e505ac40cd946067e0eed672aba6f5fce9dfd9a24841b09dc66718b38ef97d