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Paper Citation Record · LEDGER

Hardware-Enabled Mechanisms for Verifying Responsible AI Development

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.03742.

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

pith.paper-citation-record.v1
2505.03742 v1

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:58.607759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.154381Z

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 7e44040f-1825-47f0-b92d-288e725845c6 · inbound

Detecting Hidden ML Training With Zero-Overhead Telemetry cites this paper.

Detecting Hidden ML Training With Zero-Overhead Telemetry Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:39:17.155700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T21:03:43.112108Z digest=sha256:af95a9b4a8f295bb065a9557a11afa72bc262a8852b083f69025650957684f8c

Observation 28f8e817-4909-4e6a-8911-6e4a8546584e · inbound

Two AI Metrics Diverged: Will it Make All the Difference? cites this paper.

Two AI Metrics Diverged: Will it Make All the Difference? Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.110091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T12:29:24.439779Z digest=sha256:3bf3c276ddd1b59f4f50a8d9b0246d339909b60e502b346b8c5169bab88912c3

Observation bdc1ce21-e1d7-40ee-a5a4-0fd99afb04be · inbound

Hardware Mechanisms to Dynamically Throttle AI Performance cites this paper.

Hardware Mechanisms to Dynamically Throttle AI Performance Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T16:16:14.834285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:16:14.834285Z digest=sha256:8398e76c9ab0c740f4fe05f7944fcf45b8ac1f996b690db4a661dc1a03ec0913

Observation 5783147e-8cdb-43c1-81eb-beb338621da0 · inbound

How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements cites this paper.

How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T11:04:08.161192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:04:08.161192Z digest=sha256:6b0b0394595059d3e1b4263392b84022644191acb42cbbe14dcc7a58359fe5b1

Observation 8def0dad-505c-4644-bb82-6858cdd9c704 · inbound

Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents cites this paper.

Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:58.607759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:58.607759Z digest=sha256:90bef5f04dde57b34b3e173a644e6cd8aa836fe767adf5522ac73adf8fd41afe