Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.09227.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:47.228551Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 52e4bff9-cb4d-4deb-9785-7c072078148b · inbound
AI Safety Frameworks Should Include Procedures for Model Access Decisions Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4294ba84-ccc8-45fb-ab99-a72ad71bcdae · inbound
Position Paper: Model Access should be a Key Concern in AI Governance Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7b63c76-bf83-4836-8023-6c5a3cdcfce3 · inbound
Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf002401-5402-40af-a332-34aba56d35d8 · inbound
Towards Responsible Governing AI Proliferation Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 109
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c949498-3187-4f36-a6f3-f2c853732314 · inbound
Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59f9a849-76b9-4351-868e-f275ab18ec83 · inbound
Bare Minimum Mitigations for Autonomous AI Development Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff785b1e-e127-4ef8-a71e-4d040689d70f · inbound
Opening the Scope of Openness in AI Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eae9b710-346b-4fe1-9e1c-ae1f1d789487 · inbound
Technical Requirements for Halting Dangerous AI Activities Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 181d898d-914b-41c8-9b9c-935c46d88568 · inbound
The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77cf9f79-ba80-4782-a2bd-adb4a4f2118c · inbound
Why Open Source? A Game-Theoretic Analysis of the AI Race Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb29633b-0fdf-4e15-a114-c5e39841cc14 · inbound
Strategic commitments shape collective cybersecurity under AI inequality Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f249022f-645c-4f3f-8c67-ed5a13c671f8 · inbound
Strategic commitments shape collective cybersecurity under AI inequality Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b257e54-f5f4-4e0d-9482-ef8fa65c2191 · inbound
A governance horizon for ethical-use constraints in open-weight AI models Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9375593a-1618-45a6-81f7-a7c4565fef06 · inbound
Next-Billion AI Index: The compass for AI utility and adoption in the global majority Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 134
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a298acea-ecdb-484d-b39a-9065cb18b46a · inbound
Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8f438a41-f5f8-4be2-b649-5d0875fa0301 · inbound
Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd1b7f2c-0fa4-4102-8002-fd761592ca35 · inbound
Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 142
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4e62340-7f70-4965-8321-be348c4271cf · inbound
Who Does Withholding Delay? A Game-Theoretic Model of Open-Weight AI Release Under Asymmetric Proliferation Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.