Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:54.253453Z
Paper Citation Record · LEDGER
Towards Data Governance of Frontier AI Models
As of 14 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 2 inbound Pith citation observations for arXiv:2412.03824.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:34.631404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:01:08.975832Z
Reference resolution
100 of 119 outbound references displayed
- verified exact7
- verified fuzzy23
- unresolved67
- parse uncertain1
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bbade1ff-b0a8-466f-ba44-d7edb874e302 · outbound
This paper cites Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring.
Towards Data Governance of Frontier AI Models Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:53.969070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3955604a-4950-4b10-8c6c-691ce47aef6e · outbound
This paper cites Frontier AI Regulation: Managing Emerging Risks to Public Safety.
Towards Data Governance of Frontier AI Models Frontier AI Regulation: Managing Emerging Risks to Public Safety
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:53.972408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c61c3b7f-7275-4944-bc5e-b0e7e9023692 · outbound
This paper cites Emergent Capabilities of Gen- erative Models:“Software 3.0.
Towards Data Governance of Frontier AI Models Emergent Capabilities of Gen- erative Models:“Software 3.0
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 911f9a01-ed3e-441e-a295-63e67d718b1a · outbound
This paper cites Anthropic’s Responsible Scaling Policy.
Towards Data Governance of Frontier AI Models Anthropic’s Responsible Scaling Policy
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8da28a1b-bb1a-4a41-8a7d-bb3f16801b12 · outbound
This paper cites How to backdoor fed- erated learning.
Towards Data Governance of Frontier AI Models How to backdoor fed- erated learning
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77cd6a5e-ec80-4e5d-9033-2f4e9007b657 · outbound
This paper cites Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.
Towards Data Governance of Frontier AI Models Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:53.984464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be56bcdd-f801-4948-a205-5534180990ed · outbound
This paper cites Scalable Zero Knowledge via Cycles of Elliptic Curves.
Towards Data Governance of Frontier AI Models Scalable Zero Knowledge via Cycles of Elliptic Curves
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:53.987784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bde07efe-1769-4164-88a2-086a125269c3 · outbound
This paper cites On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?.
Towards Data Governance of Frontier AI Models On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31c10662-2f12-4561-ba85-7be4d75332d5 · outbound
This paper cites Data Governance as a Collective Action Problem.
Towards Data Governance of Frontier AI Models Data Governance as a Collective Action Problem
Reference 9
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 117e7391-0809-48f9-9867-3b1c773cbe10 · outbound
This paper cites Curriculum Learning.
Towards Data Governance of Frontier AI Models Curriculum Learning
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98d284d-12e4-4e72-8ed2-a30451c83d98 · outbound
This paper cites Managing extreme AI risks amid rapid progress.
Towards Data Governance of Frontier AI Models Managing extreme AI risks amid rapid progress
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:53.998066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6721ff5-97f7-428e-a328-68eae20a0edf · outbound
This paper cites Easily accessible text-to- image generation amplifies demographic stereotypes at large scale.
Towards Data Governance of Frontier AI Models Easily accessible text-to- image generation amplifies demographic stereotypes at large scale
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa4ccfbe-93d2-4ea1-9461-ce4d1ada42d6 · outbound
This paper cites Poisoning attacks against support vector machines.
Towards Data Governance of Frontier AI Models Poisoning attacks against support vector machines
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.003510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cef28f78-626c-4fbe-9eb3-88847ebd49e3 · outbound
This paper cites Know Your Customer - Or Not.
Towards Data Governance of Frontier AI Models Know Your Customer - Or Not
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.006130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f4554e7-5727-45a1-bac9-fb4415610595 · outbound
This paper cites (Visited on 09/12/2024).
Towards Data Governance of Frontier AI Models (Visited on 09/12/2024)
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.008577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e94a1ab4-0a0c-4ad6-8abe-7a639fe1b4bd · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Towards Data Governance of Frontier AI Models On the Opportunities and Risks of Foundation Models
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630edd6e-7394-490b-b218-d320dfd26d40 · outbound
This paper cites Toward Trustworthy AI Devel- opment: Mechanisms for Supporting Verifiable Claims.
Towards Data Governance of Frontier AI Models Toward Trustworthy AI Devel- opment: Mechanisms for Supporting Verifiable Claims
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.014241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 101fe6f5-4c28-4346-a48d-cc300712c1a6 · outbound
This paper cites https://oag.ca.gov/privacy/ccpa.
Towards Data Governance of Frontier AI Models https://oag.ca.gov/privacy/ccpa
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98eebcea-0ebf-4a98-a068-6973abbad21e · outbound
This paper cites Extracting training data from large language models.
Towards Data Governance of Frontier AI Models Extracting training data from large language models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.022294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00bf9566-314e-43d9-b38e-03e081c3ab0b · outbound
This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.
Towards Data Governance of Frontier AI Models Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dce0313-522d-41e3-8ee0-49858374b987 · outbound
This paper cites Mitigating the risk of extinction from AI should be a global priority alongside other societal- scale risks such as pandemics and nuclear war.
Towards Data Governance of Frontier AI Models Mitigating the risk of extinction from AI should be a global priority alongside other societal- scale risks such as pandemics and nuclear war
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.027733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed35c78b-76b8-469f-acaf-3905d7919e61 · outbound
This paper cites Hazards from Increasingly Accessi- ble Fine-Tuning of Downloadable Foundation Models.
Towards Data Governance of Frontier AI Models Hazards from Increasingly Accessi- ble Fine-Tuning of Downloadable Foundation Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.030358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c435d2e8-d0d9-47d2-8bf9-789f9d57ed15 · outbound
This paper cites SoK: Machine Learning Governance.
Towards Data Governance of Frontier AI Models SoK: Machine Learning Governance
Reference 23
- Resolution
- unresolved
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Observation 74aa7b08-0d75-4a24-afb7-ca5bfd349f8e · outbound
This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.
Towards Data Governance of Frontier AI Models TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dbb3257-e2d6-41eb-8dfc-788c9d0f47d8 · outbound
This paper cites Tools for Verifying Neural Models’ Training Data.
Towards Data Governance of Frontier AI Models Tools for Verifying Neural Models’ Training Data
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d231f55a-4f47-459b-bf5d-12b8b175d335 · outbound
This paper cites Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Ar- tificial Intelligence Act).
Towards Data Governance of Frontier AI Models Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Ar- tificial Intelligence Act)
Reference 26
- Resolution
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Observation db33c526-eb09-4698-9c53-ab714b8680f1 · outbound
This paper cites URL: https://www.
Towards Data Governance of Frontier AI Models URL: https://www
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5deb70a2-8481-4158-8edc-0d325da61f7c · outbound
This paper cites an unresolved cited work.
Towards Data Governance of Frontier AI Models Unresolved cited work
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae1c5fcd-7d2d-4cd3-b7f1-866058cdb9d2 · outbound
This paper cites 96/9/EC of the European Parliament.
Towards Data Governance of Frontier AI Models 96/9/EC of the European Parliament
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faded445-9e9b-4090-876b-fa96ff7f1cad · outbound
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Towards Data Governance of Frontier AI Models A Survey on In-context Learning
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d4bf5e5-876b-48ab-92b2-5c7b6a093b53 · outbound
This paper cites Do Membership Inference Attacks Work on Large Language Models?.
Towards Data Governance of Frontier AI Models Do Membership Inference Attacks Work on Large Language Models?
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 898f3afe-37bc-446a-983d-0853881eaef8 · outbound
This paper cites The Llama 3 Herd of Models.
Towards Data Governance of Frontier AI Models The Llama 3 Herd of Models
Reference 32
- Resolution
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Unavailable: canonical work link unavailable.
Observation 35074d0b-4fd8-4fb3-b955-0f8d8b64c163 · outbound
This paper cites The Economics of Ownership, Access and Trade in Digital Data.
Towards Data Governance of Frontier AI Models The Economics of Ownership, Access and Trade in Digital Data
Reference 33
- Resolution
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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.
Observation bfefbd84-4438-4f62-9f9c-fe5dd7fa8b07 · outbound
This paper cites The Algorithmic Foundations of Differential Privacy.
Towards Data Governance of Frontier AI Models The Algorithmic Foundations of Differential Privacy
Reference 34
- Resolution
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Observation 116d482b-4f4b-409d-b733-af25240b3b7f · outbound
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Towards Data Governance of Frontier AI Models Calibrating Noise to Sen- sitivity in Private Data Analysis
Reference 35
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Observation 68485ddc-5b0e-4270-9535-b95428c2e4b9 · outbound
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Towards Data Governance of Frontier AI Models CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
Reference 36
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Observation dd62f4fc-86ac-4876-8443-6ab1ab297605 · outbound
This paper cites Galaxy zoo.
Reference 37
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Observation 3649abfc-59ca-43a2-9f55-12e4d83614d6 · outbound
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Towards Data Governance of Frontier AI Models Crowd Sci- ence: The Organization of Scientific Research in Open Collaborative Projects
Reference 38
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Towards Data Governance of Frontier AI Models On the detection and han- dling of security incidents and perimeter breaches-a modular and flexible honeytoken based framework
Reference 39
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Observation c5c13fae-9f76-4b2d-9977-3d90f55eae0d · outbound
This paper cites https://www.frontiersin.org/journals/big- data/articles/10.3389/fdata.2021.729663/full.
Towards Data Governance of Frontier AI Models https://www.frontiersin.org/journals/big- data/articles/10.3389/fdata.2021.729663/full
Reference 40
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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.
Observation 06cc777d-ad41-4d71-ad2c-57c69ec416bf · outbound
This paper cites A covert data transport protocol.
Towards Data Governance of Frontier AI Models A covert data transport protocol
Reference 41
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This paper cites https://gdpr-info.eu/.
Towards Data Governance of Frontier AI Models https://gdpr-info.eu/
Reference 42
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2346f3dd-2156-4a99-bf49-ae1df100dc8f · outbound
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Towards Data Governance of Frontier AI Models Fully homomorphic encryption using ideal lattices
Reference 43
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Towards Data Governance of Frontier AI Models Chatgpt perpet- uates gender bias in machine translation and ignores non-gendered pronouns
Reference 44
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Towards Data Governance of Frontier AI Models Studying Large Language Model Generalization with Influence Functions
Reference 45
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Observation fcb53187-0b3c-496d-8d89-71a35a4866a4 · outbound
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Towards Data Governance of Frontier AI Models Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
Reference 46
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- no resolver link, observed 2026-08-11T22:06:54.098247Z
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Observation 8e2f7927-c71e-45f7-88e2-c4c132cf2a3b · outbound
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Towards Data Governance of Frontier AI Models Gemini AI platform accused of scanning Google Drive files without user permission
Reference 47
- Resolution
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Source-reported events for the cited work
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Observation 6de17403-4638-477d-8d64-bd90d7a393e1 · outbound
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Towards Data Governance of Frontier AI Models Multimedia water- marking techniques
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49d00626-4d4c-4b89-a082-dcac9d7e0782 · outbound
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Towards Data Governance of Frontier AI Models Training Compute Thresholds: Features and Functions in AI Regulation
Reference 49
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Towards Data Governance of Frontier AI Models Provenance: An Introduction to PROV in Data Science
Reference 50
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- unresolved
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Observation f5da84f1-6ec0-41e8-bf0c-1918c01df66e · outbound
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Towards Data Governance of Frontier AI Models Unresolved cited work
Reference 51
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Towards Data Governance of Frontier AI Models Executive Order on the Safe, Secure, and Trustworthy De- velopment and Use of Artificial Intelli- gence
Reference 52
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Towards Data Governance of Frontier AI Models FACT SHEET: Biden- Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Towards Data Governance of Frontier AI Models Training Compute Thresholds: Features and Functions in AI Regulation
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c13ecb1-df04-4d98-b31e-e293a30556f1 · outbound
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Towards Data Governance of Frontier AI Models A general framework for data- use auditing of ML models
Reference 55
- Resolution
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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.
Observation 66b52853-72f9-4e50-9541-19c8fe58d605 · outbound
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Towards Data Governance of Frontier AI Models Training Compute-Optimal Large Language Models
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74654de4-c5c1-464f-9d8e-92ebb05fde87 · outbound
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Towards Data Governance of Frontier AI Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Reference 57
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Source-reported events for the cited work
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Observation 9c552e04-9553-4e22-91b6-8151cb91e19a · outbound
This paper cites Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.
Towards Data Governance of Frontier AI Models Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
Reference 58
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d04d48cd-9eef-4b5e-962c-2f85acfdda76 · outbound
This paper cites The Rise of Crowdsourcing.
Towards Data Governance of Frontier AI Models The Rise of Crowdsourcing
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.126844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51966447-1fae-4f5b-8fad-2c0becaad018 · outbound
This paper cites Nonrivalry and the Economics of Data.
Towards Data Governance of Frontier AI Models Nonrivalry and the Economics of Data
Reference 60
- Resolution
- verified exact
- doi, observed 2026-08-11T22:06:54.381734Z
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.
Observation 2ae2fdf0-f07e-41a8-9eeb-10532dce4d39 · outbound
This paper cites Datamodels: Predicting Predictions from Training Data.
Towards Data Governance of Frontier AI Models Datamodels: Predicting Predictions from Training Data
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.132696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 297325c0-7af7-447b-9674-6da6cd6cddd4 · outbound
This paper cites https://www.lawfaremedia.org/article/know-your- customer-is-coming-for-the-cloud-the-stakes-are-high.
Towards Data Governance of Frontier AI Models https://www.lawfaremedia.org/article/know-your- customer-is-coming-for-the-cloud-the-stakes-are-high
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.039113Z
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.
Observation e9144af7-ed00-41f9-9b0f-ed294354c6d6 · outbound
This paper cites Improving Infrastructure Security using Deceptive Technologies.
Towards Data Governance of Frontier AI Models Improving Infrastructure Security using Deceptive Technologies
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.031534Z
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.
Observation cf343b4d-4209-43b1-b83f-57855f2e2a55 · outbound
This paper cites Data Governance: Organiz- ing Data for Trustworthy Artificial Intelligence.
Towards Data Governance of Frontier AI Models Data Governance: Organiz- ing Data for Trustworthy Artificial Intelligence
Reference 64
- Resolution
- verified exact
- doi, observed 2026-08-11T22:06:54.389709Z
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.
Observation 0023c46f-0bc7-4fac-b804-6fb26ca6f900 · outbound
This paper cites What Is the CHIPS Act? en.
Towards Data Governance of Frontier AI Models What Is the CHIPS Act? en
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.023715Z
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.
Observation 3cfe5ffa-84f2-49ac-b38b-83e5a51deb2a · outbound
This paper cites Crowd- sourcing User Studies with Mechanical Turk.
Towards Data Governance of Frontier AI Models Crowd- sourcing User Studies with Mechanical Turk
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.046390Z
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.
Observation 48466612-fc56-418e-92d8-7bcb6df1ff74 · outbound
This paper cites A Survey of Deep Neural Network Watermarking Techniques.
Towards Data Governance of Frontier AI Models A Survey of Deep Neural Network Watermarking Techniques
Reference 67
- Resolution
- verified exact
- doi, observed 2026-08-11T22:06:54.365432Z
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.
Observation 7725b33d-7c21-45c8-9b55-94448c170d23 · outbound
This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
Towards Data Governance of Frontier AI Models On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.000961Z
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.
Observation d2fadebc-eaff-4356-a98d-214c5f1ce8a8 · outbound
This paper cites Machine Learning with Per- sonal Data: Is Data Protection Law Smart Enough to Meet the Challenge?.
Towards Data Governance of Frontier AI Models Machine Learning with Per- sonal Data: Is Data Protection Law Smart Enough to Meet the Challenge?
Reference 69
- Resolution
- verified exact
- doi, observed 2026-08-11T22:06:54.373665Z
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.
Observation f9aeaf5a-94a6-4d2f-a591-498cf2e1512d · outbound
This paper cites Next-Generation Deep Learning Based on Simulators and Synthetic Data.
Towards Data Governance of Frontier AI Models Next-Generation Deep Learning Based on Simulators and Synthetic Data
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.993371Z
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.
Observation 758febe7-9746-493b-b3ba-ef859bcfe5f5 · outbound
This paper cites A New SOTA in Data Attribution.
Towards Data Governance of Frontier AI Models A New SOTA in Data Attribution
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:55.015643Z
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.
Observation b07c897a-1f48-43ad-93ed-b94eaad4471f · outbound
This paper cites Scaling data-constrained language models.
Towards Data Governance of Frontier AI Models Scaling data-constrained language models
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.978353Z
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.
Observation fbc358e7-50a2-414a-b1c8-43c8981fbfc5 · outbound
This paper cites an unresolved cited work.
Towards Data Governance of Frontier AI Models Unresolved cited work
Reference 73
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-11T22:06:55.008099Z
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.
Observation 98cf5819-3f69-486a-9c3f-f72b2c667a18 · outbound
This paper cites Scalable Extraction of Training Data from (Production) Language Models.
Towards Data Governance of Frontier AI Models Scalable Extraction of Training Data from (Production) Language Models
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.185516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a715bd49-5e56-4d9e-b1fc-dc534d07c355 · outbound
This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
Towards Data Governance of Frontier AI Models On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.169342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 395a85ee-47a0-4014-8076-e647a4abf046 · outbound
This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.
Towards Data Governance of Frontier AI Models Communication-Efficient Learning of Deep Networks from Decentralized Data
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.172320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b548ce8-92f3-4ccf-8601-82b85dee1cf5 · outbound
This paper cites Encryption Techniques for Financial Data Security in Fintech Applications.
Towards Data Governance of Frontier AI Models Encryption Techniques for Financial Data Security in Fintech Applications
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.960986Z
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.
Observation f9b7eae0-aef6-4e77-8927-24e1f821055c · outbound
This paper cites Model Cards for Model Reporting.
Towards Data Governance of Frontier AI Models Model Cards for Model Reporting
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.986028Z
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.
Observation ec451fd6-b7f8-4796-b94b-21278aea7de6 · outbound
This paper cites GPT-4 Technical Report.
Towards Data Governance of Frontier AI Models GPT-4 Technical Report
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.199327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84930135-d3d2-41d7-a0ea-024504b98d5c · outbound
This paper cites Evaluating Frontier Models for Dangerous Capabilities.
Towards Data Governance of Frontier AI Models Evaluating Frontier Models for Dangerous Capabilities
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.204725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e49b1767-02a4-4d84-bd14-02f016ad298f · outbound
This paper cites A Lightweight Adaptable DNS Channel for Covert Data Transmission.
Towards Data Governance of Frontier AI Models A Lightweight Adaptable DNS Channel for Covert Data Transmission
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:06:54.477590Z
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.
Observation dcdb93f1-c6fc-42e0-8cc8-113b3ac1a3cf · outbound
This paper cites Securing AI Model Weights: Pre- venting Theft and Misuse of Frontier Models.
Towards Data Governance of Frontier AI Models Securing AI Model Weights: Pre- venting Theft and Misuse of Frontier Models
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.969633Z
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.
Observation 8272e14f-e503-40bb-937f-977476639d1f · outbound
This paper cites DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models.
Towards Data Governance of Frontier AI Models DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.212544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc97b2e5-312d-49ce-a700-fa31fbbfacf5 · outbound
This paper cites GPT-4 System Card.
Towards Data Governance of Frontier AI Models GPT-4 System Card
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.952332Z
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.
Observation 64cca38a-c81b-4182-a3fd-797b08e22f09 · outbound
This paper cites Computing Power and the Governance of Artificial Intelligence.
Towards Data Governance of Frontier AI Models Computing Power and the Governance of Artificial Intelligence
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.217994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a3fd74d-5a3a-4aac-bccf-eb6c71ea85db · outbound
This paper cites The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models.
Towards Data Governance of Frontier AI Models The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.201947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c5a0e53-a259-42f4-838e-a43910f2bf02 · outbound
This paper cites A Survey on Hate Speech Detection Using Natural Language Pro- cessing.
Towards Data Governance of Frontier AI Models A Survey on Hate Speech Detection Using Natural Language Pro- cessing
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.923161Z
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.
Observation b92d61c8-a8f3-41bc-897b-bd69a8c6d99a · outbound
This paper cites Data Stewardship: An Actionable Guide to Effective Data Management and Data Gov- ernance.
Towards Data Governance of Frontier AI Models Data Stewardship: An Actionable Guide to Effective Data Management and Data Gov- ernance
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.944956Z
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.
Observation 18c953d1-b005-46e8-8a6a-aa9b13cb5ae1 · outbound
This paper cites Open Problems in Technical AI Governance.
Towards Data Governance of Frontier AI Models Open Problems in Technical AI Governance
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.209674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecfc7672-a87b-49c2-910f-8833a84c8b42 · outbound
This paper cites On the exploitability of instruction tuning.
Towards Data Governance of Frontier AI Models On the exploitability of instruction tuning
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.908521Z
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.
Observation 97a9324c-6bb8-41e5-af0e-f0635d166629 · outbound
This paper cites Radioactive data: trac- ing through training.
Towards Data Governance of Frontier AI Models Radioactive data: trac- ing through training
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.937494Z
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.
Observation c8074c0f-8806-4c75-b6f3-688225e3722b · outbound
This paper cites The curse of recursion: Training on generated data makes models forget.
Towards Data Governance of Frontier AI Models The curse of recursion: Training on generated data makes models forget
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.894399Z
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.
Observation 1b6b07bc-e120-419d-83dd-f7afa0822b7b · outbound
This paper cites Nvidia, Microsoft Hit with Patent Lawsuit over AI Computing Technology.
Towards Data Governance of Frontier AI Models Nvidia, Microsoft Hit with Patent Lawsuit over AI Computing Technology
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.930315Z
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.
Observation 05a6e212-023a-4083-9d76-1e7dcc9bddf1 · outbound
This paper cites Certified defenses for data poisoning attacks.
Towards Data Governance of Frontier AI Models Certified defenses for data poisoning attacks
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.880310Z
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.
Observation b3fc84e7-2d2b-48dc-93cd-e6499c76da72 · outbound
This paper cites Towards a Standard for Iden- tifying and Managing Bias in Artificial Intelligence.
Towards Data Governance of Frontier AI Models Towards a Standard for Iden- tifying and Managing Bias in Artificial Intelligence
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.225799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7eb3f5c4-6777-4e92-b0bf-ef95ee8e6b4e · outbound
This paper cites Membership Inference Attacks Against Machine Learning Models.
Towards Data Governance of Frontier AI Models Membership Inference Attacks Against Machine Learning Models
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.915749Z
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.
Observation 1fea90d9-6034-43fa-9522-93bccb89f323 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Towards Data Governance of Frontier AI Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:06:54.248483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 011ba67d-89b4-47b7-957c-92e7be4afa15 · outbound
This paper cites The curse of recursion: Training on generated data makes models forget.
Towards Data Governance of Frontier AI Models The curse of recursion: Training on generated data makes models forget
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.901442Z
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.
Observation 86d42bb1-bb14-4e51-87c8-5c769fae387d · outbound
This paper cites AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge.
Towards Data Governance of Frontier AI Models AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:06:54.320606Z
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.
Observation efb0143b-70a7-4e95-9f13-312f50057eea · outbound
This paper cites Defining and Characterizing Re- ward Gaming.
Towards Data Governance of Frontier AI Models Defining and Characterizing Re- ward Gaming
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T22:06:54.887329Z
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.
Pith citing papers
Observation bd8856cc-cab8-422f-aefd-99cefa7f7ac7 · inbound
Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance cites this paper.
Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance Towards Data Governance of Frontier AI Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:01:08.978691Z
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.
Observation 6702c2d7-0aa9-40bb-8834-3c30f451b05d · inbound
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance cites this paper.
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Data Governance of Frontier AI Models
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:34.631404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.