Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T22:22:51.778713Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.26099.
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, observed 2026-07-12T22:22:51.778713Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 45a0b819-d2da-4895-b83c-8cc9d7739db2 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 1
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Observation ad8e29f3-5a02-48b8-a6a0-199336d60c1d · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 2
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Observation 276c1b2a-c7d3-4dc2-8e37-d2b26426b33f · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 3
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Observation a7818a7d-7957-412f-ab4f-f84bcf849d25 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 4
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Observation b9f7c892-f5ca-4506-b393-37f7d1bb4fef · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Each row of the dataset records the verified value for a given indicator in a given country in a given year
Reference 5
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Observation 83739d4d-dae9-4a0c-b6cf-279a7a696ef8 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 6
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Observation bbc477bf-15f1-4a68-baae-2b12aacff67e · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 7
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Observation 1913611a-5dcc-405d-aea7-f637d621202c · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 8
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Observation 2d625cd9-8e2a-40e0-955e-2a2df0d86b72 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 9
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Observation ce1f04f8-5eeb-4a69-af30-64b7d3c551c6 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Evaluation Years and Temporal Design Six evaluation years are used: 2010, 2013, 2016, 2019, 2022, and
Reference 10
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Observation c746d28c-8662-447a-8c71-e019e97fa859 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance According to [data source], what was [indicator name] for [country] in [year]? Please provide a specific numeric value if the information is available to you
Reference 11
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Observation 4e32bf23-ed77-470d-addd-4ce73c73bc94 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 12
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Observation 51ee5328-211b-422f-be43-ce560e909f50 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 13
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Observation c39f52a1-a492-4e8f-bebf-10597b30859b · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance The 2022 wave is used as a cross-sectional snapshot and combined with other Adoption indicators that cover multiple years
Reference 14
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Unavailable: canonical work link unavailable.
Observation 36c23681-dafc-4af1-a150-f71879535aa6 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Individual countries are scattered across the PC1–PC2 plane with no single cluster separating Global North from Global South
Reference 15
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Observation fcefef11-c2f7-47eb-8f6b-e5ced1536536 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance The year 2013 does not differ significantly from 2010 (OR=1.02, p =0.840)
Reference 16
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Unavailable: canonical work link unavailable.
Observation 8e6f98b0-f264-4ed9-9f8a-096c7c0c4830 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 17
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Observation fc883287-5177-4137-b2e4-849f1438fb49 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Probing pre-trained language models for cross-cultural differences in values,
Reference 18
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Observation 1e2a8601-32b8-445d-ab12-9713cfc58e86 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Pythia: A suite for analysing large language models across training and scaling,
Reference 19
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Observation 3eb5413a-ab5b-4036-a01b-d128c16f7979 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Assessing cross-cultural alignment between ChatGPT and human societies: An empirical study,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 2904d91b-0967-4722-a949-89265e220015 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Dated Data: Tracing Knowledge Cutoffs in Large Language Models
Reference 21
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Observation 55b50f8a-e73e-41cf-95d5-841a70ed72bb · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 22
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Observation 27b7de42-5572-4b33-af93-54aee2971c80 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance IEEE International Conference on Responsible Artificial Intelligence (IRAI 2026): Call for papers,
Reference 23
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Observation 00ffb081-1d09-4751-8af4-41500eead90d · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 24
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Unavailable: canonical work link unavailable.
Observation 1b8f3a01-7842-47f4-b4f1-f3867248d590 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 25
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Unavailable: canonical work link unavailable.
Observation 234cec19-3ee0-4974-8e07-632534f4f10c · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f1cadc1-834a-48a4-8c50-add5318c6f53 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance DeepSeek's cutoff date is July 2024: We extracted DeepSeek's system prompt,
Reference 27
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Unavailable: canonical work link unavailable.
Observation c4fce830-3d37-418e-bf17-ea53392fcc35 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ac4e8e3-d7c3-4323-a8cd-cd16ee31ff8d · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 29
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Observation 9b93b498-622d-4dc5-8804-3bee1b19086b · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
Reference 30
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Observation 61fbeab5-2607-42d8-8b34-315c1d0e422c · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance CultureLLM: Incorporating Cultural Differences into Large Language Models
Reference 31
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Observation d9b98a6e-422b-4569-b188-e3715603eb5f · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f0b9db8a-43f7-47ba-920f-acc7a1403061 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Large Language Models are Geographically Biased
Reference 33
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Observation a3949848-b3aa-4dbf-a2df-820d793f753b · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 34
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Observation 753f5274-dd47-4149-859d-0ae61f4a7552 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance OECD principles on AI (revised),
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3fb0531-5749-4f09-a3d9-333c0dc96f8b · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work
Reference 36
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Observation 58cb9e4e-2548-4c66-857a-c55e1ab75622 · outbound
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
Reference 37
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No inbound Pith citation observations are available.