Paper Citation Record · LEDGER

Methods to Assess the UK Government's Current Role as a Data Provider for AI

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.09632.

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

pith.paper-citation-record.v1
2412.09632 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:02:19.420379Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy7
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 430e064f-f41b-4442-8e34-c11bcdb7002a · outbound

This paper cites We Must Fix the Lack of Transparency Around the Data Used to Train Foundation Models.

Methods to Assess the UK Government's Current Role as a Data Provider for AI We Must Fix the Lack of Transparency Around the Data Used to Train Foundation Models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:20.067421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b6299f3-07cb-4c5c-b6fa-3eed88fee7d6 · outbound

This paper cites Building a better future with data and AI: a white paper, 2024.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Building a better future with data and AI: a white paper, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:20.051005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bc4ef2b-4dc9-4475-9806-e96d25efb23e · outbound

This paper cites The role of government as a provider of data for AI, 2024.

Methods to Assess the UK Government's Current Role as a Data Provider for AI The role of government as a provider of data for AI, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:20.028662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 565f72da-02a1-42bc-a26c-b2d130a4e184 · outbound

This paper cites The ODI’s input to the AI Action Plan: an AI-ready Na- tional Data Library, 2024.

Methods to Assess the UK Government's Current Role as a Data Provider for AI The ODI’s input to the AI Action Plan: an AI-ready Na- tional Data Library, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:20.004476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3031fd10-de43-41de-aa78-556eff88f33f · outbound

This paper cites Application of large language model in intelligent Q&A of digital government.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Application of large language model in intelligent Q&A of digital government

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T11:02:19.879626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96883682-361a-4eb6-9ff9-e349d189ccc0 · outbound

This paper cites Understanding Black-box Predictions via Influence Functions.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Understanding Black-box Predictions via Influence Functions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.325963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f05723c-eb64-4bf9-aa3d-03895572016a · outbound

This paper cites an unresolved cited work.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:02:19.981504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e2e4d88-e836-4d95-9795-87a324abcb7b · outbound

This paper cites What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

Methods to Assess the UK Government's Current Role as a Data Provider for AI What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.341009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00f051a-36e1-43f0-9b0a-f8637216d6b9 · outbound

This paper cites Large Language Model Unlearning.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Large Language Model Unlearning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.345888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90434a5-6df3-4f02-a78f-9fe8a79b7b0e · outbound

This paper cites Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.350894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254cc5ca-68dd-4241-a4d1-9cd48efede3b · outbound

This paper cites Exact and Efficient Unlearning for Large Language Model-based Recommendation.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Exact and Efficient Unlearning for Large Language Model-based Recommendation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.355334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6f5db1-2658-4135-9295-1daf47a9ed5b · outbound

This paper cites Rényi Divergence and Kullback-Leibler Divergence.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Rényi Divergence and Kullback-Leibler Divergence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.360413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f5b1bc-0e14-4f72-b6a0-46a669aeee1d · outbound

This paper cites Perplexed: Understanding When Large Language Models are Confused.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Perplexed: Understanding When Large Language Models are Confused

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.365264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c921c76-741f-405e-bf21-738d0e41211e · outbound

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

Methods to Assess the UK Government's Current Role as a Data Provider for AI Dated Data: Tracing Knowledge Cutoffs in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.370261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0269694e-b42c-4e77-acd4-e723971a659d · outbound

This paper cites The Llama 3 Herd of Models.

Methods to Assess the UK Government's Current Role as a Data Provider for AI The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.374953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a760191-f22e-4fa0-b644-fe17df8e690c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Gemma 2: Improving Open Language Models at a Practical Size

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.378934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c656663-3c31-4aa5-bbae-549b0ed43bf6 · outbound

This paper cites Qwen2.5, 2024.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Qwen2.5, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:19.959762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb96670a-399f-4259-b797-3c87168c1f10 · outbound

This paper cites Microsoft Corporation, 2023.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Microsoft Corporation, 2023

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-12T11:02:19.605681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4b2c8be-b51d-40bc-9c90-35846b0a5dc2 · outbound

This paper cites an unresolved cited work.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:02:19.936624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c79e528c-ad28-4790-b5fe-de91f23b41a2 · outbound

This paper cites Extracting Training Data from Diffusion Models.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Extracting Training Data from Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.397485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fda7b87-5c34-4be7-90b0-ff4483bb777b · outbound

This paper cites DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

Methods to Assess the UK Government's Current Role as a Data Provider for AI DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.402504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188e881f-8116-481b-963e-29ab1b108285 · outbound

This paper cites Training language models to follow instructions with human feedback.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Training language models to follow instructions with human feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.406678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1aff74-9820-4009-8b9e-04897cb9807b · outbound

This paper cites Reinforcement Learning from Human Feedback: Progress and Challenges.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Reinforcement Learning from Human Feedback: Progress and Challenges

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:19.916154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15c3cc81-0d49-4e2e-8a7c-44e7f6fb4c91 · outbound

This paper cites Performance Law of Large Language Models.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Performance Law of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.416236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41f19e7-0f8d-4030-b84f-8078b02fc5d7 · outbound

This paper cites A comprehensive evaluation of quantization strategies for large language models, 2024.

Methods to Assess the UK Government's Current Role as a Data Provider for AI A comprehensive evaluation of quantization strategies for large language models, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:02:19.899326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59f6a5be-fa66-41eb-951e-4fc8ba898fb5 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Studying Large Language Model Generalization with Influence Functions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T11:02:19.335809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.