Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:25:00.569897Z
Paper Citation Record · LEDGER
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2412.13169.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:12:28.304041Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:12:28.411072Z
Reference resolution
17 of 17 outbound references displayed
- verified exact1
- verified fuzzy5
- unresolved9
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bd000464-d1c6-4fab-b786-6f37c9a52baa · outbound
This paper cites In addition, no interpretation should benecessary to assign an answer to a category.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study In addition, no interpretation should benecessary to assign an answer to a category
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:25:00.850056Z
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 39bf88f8-6ee5-46ff-bdf7-b35e141c6081 · outbound
This paper cites IEEE Access, 11:47304–47320.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study IEEE Access, 11:47304–47320
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:25:00.902497Z
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 1c4e87f2-3107-440d-84de-4281155d6e56 · outbound
This paper cites WEIRD bias.
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T13:25:00.813060Z
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 52f1cce0-a96c-4e0e-ae07-0a16515421ee · outbound
This paper cites Mixtral of Experts.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Mixtral of Experts
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:25:00.495133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbea9902-8af0-405f-8ca4-1463365b88f3 · outbound
This paper cites an unresolved cited work.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:25:00.728439Z
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 c88f056c-b682-42c0-936f-5ae565975989 · outbound
This paper cites Using LLMs to Model the Beliefs and Preferences of Targeted Populations.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Using LLMs to Model the Beliefs and Preferences of Targeted Populations
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T13:25:00.678330Z
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 d92fdf00-165f-4630-9125-5c111cbe45ab · outbound
This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:25:00.512185Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ed7a354-133d-47cf-ba54-e91861807dc6 · outbound
This paper cites Elements in Psychology and Culture.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Elements in Psychology and Culture
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:25:00.866926Z
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 82addce0-6464-4c37-a38c-7ee04deaa620 · outbound
This paper cites introductory phrases.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study introductory phrases
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:25:00.832055Z
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 5ff854a5-329b-4504-a1e0-51610368743c · outbound
This paper cites an unresolved cited work.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:25:00.794797Z
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 faa6cdab-20f0-4012-a249-dcbb76e27512 · outbound
This paper cites an unresolved cited work.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:25:00.775600Z
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 a91913d6-0d79-4233-ad93-ec65c5f26e2d · outbound
This paper cites an unresolved cited work.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:25:00.759535Z
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 707a8bf6-bb5e-478e-8ad5-c6678019909d · outbound
This paper cites an unresolved cited work.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:25:00.744300Z
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 678ca641-fbc1-45f4-89b1-a339017c20ce · outbound
This paper cites ZA6838 Datenfile Version 6.0.0, https://doi.org/10.4232/1.14114.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study ZA6838 Datenfile Version 6.0.0, https://doi.org/10.4232/1.14114
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-11T13:25:00.613230Z
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 ead60c09-a86f-4a65-b420-8b3af339302e · outbound
This paper cites Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:25:00.524040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29773330-1afe-47dc-8e4e-44cc3962ad62 · outbound
This paper cites Language Models are Few-Shot Learners.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Language Models are Few-Shot Learners
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:25:00.472495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 067d5c90-618a-41b7-8003-c52586c5a8d6 · outbound
This paper cites Research & Politics, 11(1):20531680241231468.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study Research & Politics, 11(1):20531680241231468
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:25:00.885687Z
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.
Pith citing papers
Observation 17777762-ef5b-4429-8faf-47d82ba639b9 · inbound
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? cites this paper.
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs? Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:12:28.415756Z
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.