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Paper Citation Record · LEDGER

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance

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.

pith.paper-citation-record.v1
2606.26099 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T22:22:51.778713Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 45a0b819-d2da-4895-b83c-8cc9d7739db2 · outbound

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites Each row of the dataset records the verified value for a given indicator in a given country in a given year.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-12T22:22:51.778713Z digest=sha256:fae0e0fc7e36538d88c48b5c876ce2112c73e0d74f136b06af711583e0cc807b

Observation 2d625cd9-8e2a-40e0-955e-2a2df0d86b72 · outbound

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 9

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source=pdf_text observed=2026-07-12T22:22:51.778713Z digest=sha256:f6880530526be6831faf3332de2716d319f8aafd44b6b658b80efc4c2793ab1b

Observation ce1f04f8-5eeb-4a69-af30-64b7d3c551c6 · outbound

This paper cites Evaluation Years and Temporal Design Six evaluation years are used: 2010, 2013, 2016, 2019, 2022, and.

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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source=pdf_text observed=2026-07-12T22:22:51.778713Z digest=sha256:b0ef3aad98c0d2cfb4f32e5844ca888613916c897281ec3450df02ccb7de5b1c

Observation c746d28c-8662-447a-8c71-e019e97fa859 · outbound

This paper cites 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.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-12T22:22:51.778713Z digest=sha256:9ab7b8ff34868ca53f30908aa68e7ae0040cc813b4b47325bca94fd73c11c942

Observation c39f52a1-a492-4e8f-bebf-10597b30859b · outbound

This paper cites The 2022 wave is used as a cross-sectional snapshot and combined with other Adoption indicators that cover multiple years.

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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source=pdf_text observed=2026-07-12T22:22:51.778713Z digest=sha256:5dfe6a2f0841dd36279fbda344af077b5b1069f0cf45ad3116e4f3a31a8682ae

Observation 36c23681-dafc-4af1-a150-f71879535aa6 · outbound

This paper cites Individual countries are scattered across the PC1–PC2 plane with no single cluster separating Global North from Global South.

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

This paper cites The year 2013 does not differ significantly from 2010 (OR=1.02, p =0.840).

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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Observation 8e6f98b0-f264-4ed9-9f8a-096c7c0c4830 · outbound

This paper cites an unresolved cited work.

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

This paper cites Probing pre-trained language models for cross-cultural differences in values,.

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

This paper cites Pythia: A suite for analysing large language models across training and scaling,.

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

This paper cites Assessing cross-cultural alignment between ChatGPT and human societies: An empirical study,.

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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Observation 2904d91b-0967-4722-a949-89265e220015 · outbound

This paper cites Dated Data: Tracing Knowledge Cutoffs in Large Language Models.

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

This paper cites an unresolved cited work.

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

This paper cites IEEE International Conference on Responsible Artificial Intelligence (IRAI 2026): Call for papers,.

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

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 24

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Observation 1b8f3a01-7842-47f4-b4f1-f3867248d590 · outbound

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 25

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Observation 234cec19-3ee0-4974-8e07-632534f4f10c · outbound

This paper cites Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies.

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

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Observation 6f1cadc1-834a-48a4-8c50-add5318c6f53 · outbound

This paper cites DeepSeek's cutoff date is July 2024: We extracted DeepSeek's system prompt,.

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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Observation c4fce830-3d37-418e-bf17-ea53392fcc35 · outbound

This paper cites The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities.

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

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Observation 0ac4e8e3-d7c3-4323-a8cd-cd16ee31ff8d · outbound

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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

This paper cites This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models.

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

This paper cites CultureLLM: Incorporating Cultural Differences into Large Language Models.

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

This paper cites an unresolved cited work.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance Unresolved cited work

Reference 32

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Observation f0b9db8a-43f7-47ba-920f-acc7a1403061 · outbound

This paper cites Large Language Models are Geographically Biased.

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

This paper cites an unresolved cited work.

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

This paper cites OECD principles on AI (revised),.

Benchmarking Open-Weight Foundation Models for Global AI Technical Governance OECD principles on AI (revised),

Reference 35

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doi, observed 2026-07-12T22:29:07.961298Z

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Observation d3fb0531-5749-4f09-a3d9-333c0dc96f8b · outbound

This paper cites an unresolved cited work.

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

This paper cites Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research.

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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Pith citing papers

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