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Paper Citation Record · LEDGER

Training Compute Thresholds: Features and Functions in AI Regulation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:54.114118Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 3d475d8e-bf72-4e1d-945d-be380f1d179b · inbound

Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models Training Compute Thresholds: Features and Functions in AI Regulation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T22:06:54.114118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:06:54.114118Z digest=sha256:cda60c2aa08ea1d31385681ce01904c55bf423c4beef165289f0d1c5cda342b1

Observation cebacf93-b622-4eb2-9c72-de4d0d01b543 · inbound

Towards Responsible Governing AI Proliferation cites this paper.

Towards Responsible Governing AI Proliferation Training Compute Thresholds: Features and Functions in AI Regulation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T12:47:48.207569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:47:48.207569Z digest=sha256:b6878ff455b4368fac35637c419f5050bbc725334ba49fd46e3140da644697b4

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.

source=pdf_text observed=2026-08-07T23:38:52.105060Z digest=sha256:a40423e7cfe65ed34c88a8d5333c7361dd8a46c61ff282c6c89f733eaaeeacfb

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.

source=pdf_text observed=2026-08-07T11:04:32.259653Z digest=sha256:021f01c786086517adb1418292167c0311b2ded02f6245fe6e9c2508b43446d5

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.

source=pdf_text observed=2026-08-07T05:07:40.363896Z digest=sha256:7951f1fab1853a956c85bfe148cf7b248c405774cd89ba8ce92b19445caf2f7e

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.

source=arxiv_source observed=2026-08-06T20:32:41.667028Z digest=sha256:e86672dc951b1d25cb6cbcdf9773ef03efb46f57de138edb7a63567842969d00

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.

source=pdf_text observed=2026-08-06T19:11:07.170786Z digest=sha256:28c1ca002219b57177565a2ab3d916c0d136d2a85bfeae6eaa07a9d8c9eac9f2

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.

source=arxiv_source observed=2026-08-06T17:50:29.064473Z digest=sha256:2fe07e9ae5aa23f6681c97b22eeb721f5e05eb75a06e65ca5c1c7a55dad8893f

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.

source=arxiv_source observed=2026-08-06T17:52:50.326373Z digest=sha256:5c373a4f8ca158b9f3ce3050c8c53f9ce97c996ac4cd33609082e2ea14a30ce1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T21:03:43.112108Z digest=sha256:6876d857e8c2241829fe05a69bce9a59dd810fb8e7f439432f410fe9825122eb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T09:01:07.210356Z digest=sha256:08878080c532c687d648b016e3f37a1c07f7670d0c11a457e7b549c9193e1a86

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.

source=arxiv_source observed=2026-08-02T11:04:07.678243Z digest=sha256:22b7367bd68964f77db87d534a5fe9aac14d8d3b4bf089c36086bc4d03f6498a