Paper Citation Record · LEDGER

What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2303.11341.

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

pith.paper-citation-record.v1
2303.11341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:48.759840Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:54.652728Z

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 b5f919a2-61d2-46b0-a5ef-bafc26c6b6b5 · inbound

An Overview of Catastrophic AI Risks cites this paper.

An Overview of Catastrophic AI Risks What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:03:46.765363Z

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.

Observation 67988e55-a5a2-474f-a26b-ee09f7ac00d4 · inbound

Technical Options for Flexible Hardware-Enabled Guarantees cites this paper.

Technical Options for Flexible Hardware-Enabled Guarantees What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:48.618322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71986dfb-0766-4375-b0ea-d9b8a86440e9 · inbound

Technical Options for Flexible Hardware-Enabled Guarantees cites this paper.

Technical Options for Flexible Hardware-Enabled Guarantees What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:48.759840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aaa76fd-63ff-48ed-b427-5e95510195ef · 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 What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 197

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:40.319737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c36c68-de1f-4952-b516-e87fd325dd0b · 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 What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:07.251474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2a1d11-a4a3-45e5-a473-1f8e6db238d8 · inbound

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment cites this paper.

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:25:55.212301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf4e727-c2de-4a13-bb8f-4cefe400813e · inbound

Hardware-Level Governance of AI Compute: A Feasibility Taxonomy for Regulatory Compliance and Treaty Verification cites this paper.

Hardware-Level Governance of AI Compute: A Feasibility Taxonomy for Regulatory Compliance and Treaty Verification What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:52.266616Z

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.

Observation c5b21b6d-4745-4ad2-b821-3e3a4275eeb3 · inbound

AI Integrity: Defending Against Backdoors and Secret Loyalties cites this paper.

AI Integrity: Defending Against Backdoors and Secret Loyalties What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:59:54.654904Z

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.

Observation 8e87db25-bd88-499a-955f-9d202fa30d0a · inbound

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

Detecting Hidden ML Training With Zero-Overhead Telemetry What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.173968Z

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.

Observation b4fb8ce5-8586-4a2a-9711-c871a5bfc308 · inbound

Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI cites this paper.

Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T01:45:06.581823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3003bb48-7b66-4058-9241-64071317f472 · 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 What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T11:04:08.923030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.