Paper Citation Record · LEDGER

Training Compute Thresholds: Features and Functions in AI Regulation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.10799.

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

pith.paper-citation-record.v1
2405.10799 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:38:52.105060Z

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 1ff3571f-2e6e-4d80-af3e-a59a9e6b57ac · inbound

Inference Scaling Reshapes AI Governance cites this paper.

Inference Scaling Reshapes AI Governance Training Compute Thresholds: Features and Functions in AI Regulation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:38:52.105060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191af3c9-8a2e-45e8-9dfc-9fd2af4a6aed · inbound

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence cites this paper.

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence Training Compute Thresholds: Features and Functions in AI Regulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:32.259653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d720ab-d13e-4355-9287-7893a76bbc38 · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Training Compute Thresholds: Features and Functions in AI Regulation

Reference 207

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:40.363896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6d38a2-ea4d-4971-b8ba-b835ed93cc8a · inbound

From Turing to Tomorrow: The UK's Approach to AI Regulation cites this paper.

From Turing to Tomorrow: The UK's Approach to AI Regulation Training Compute Thresholds: Features and Functions in AI Regulation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:41.667028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 929ca917-0cc7-4814-91a6-eb03a92dc2cf · inbound

Domestic frontier AI regulation, an IAEA for AI, an NPT for AI, and a US-led Allied Public-Private Partnership for AI: Four institutions for governing and developing frontier AI cites this paper.

Domestic frontier AI regulation, an IAEA for AI, an NPT for AI, and a US-led Allied Public-Private Partnership for AI: Four institutions for governing and developing frontier AI Training Compute Thresholds: Features and Functions in AI Regulation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:07.170786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e515f3d2-fe52-4fd6-ac85-00db974f17cd · inbound

Technical Requirements for Halting Dangerous AI Activities cites this paper.

Technical Requirements for Halting Dangerous AI Activities Training Compute Thresholds: Features and Functions in AI Regulation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:50:29.064473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db65259c-1453-413a-ac3d-060312d30a94 · inbound

Compute Requirements for Algorithmic Innovation in Frontier AI Models cites this paper.

Compute Requirements for Algorithmic Innovation in Frontier AI Models Training Compute Thresholds: Features and Functions in AI Regulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:50.326373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168a8cb4-2d94-4adb-9ecc-94e24d222e5e · inbound

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

Detecting Hidden ML Training With Zero-Overhead Telemetry Training Compute Thresholds: Features and Functions in AI Regulation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.160285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5acb154-1518-4680-9bca-7b00a8329f58 · inbound

Verifying Restrictions on Frontier AI Research cites this paper.

Verifying Restrictions on Frontier AI Research Training Compute Thresholds: Features and Functions in AI Regulation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:04:32.216553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 912014d0-2a58-4770-b63f-5ab523c4b058 · 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 Training Compute Thresholds: Features and Functions in AI Regulation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T11:04:07.678243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.