Paper Citation Record · LEDGER

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 6 inbound Pith citation observations for arXiv:2502.07068.

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

pith.paper-citation-record.v1
2502.07068 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:59:29.368263Z

measured 39 of 39 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:55:53.349973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:55:46.428676Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy1
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e55b5a8-a8fd-45e7-a856-e969b985d9b1 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.827959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70ed9145-a9fd-49f0-a6f3-6b74163a84f0 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.222510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd21092a-9c4c-40ea-99e5-57db2c091e40 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.227489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb15748a-f72b-44ae-8f8b-f79a0b4b8fe0 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.232282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f05165-0cdc-46aa-94df-876be77a25e9 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.237248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a400adf-4685-4b83-a37b-fb68f07ceeed · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.242772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba08273-edaf-417f-abca-7f0c944ff7db · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.792786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03b3fc26-11bc-4c0b-ab7a-e8437584c4ad · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.775892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c94e740-b7e1-4d68-9850-04639a182d10 · outbound

This paper cites Assessing LLMs for Moral Value Pluralism.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Assessing LLMs for Moral Value Pluralism

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.257245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2e41c0-8867-42fc-8fee-f1d5e71fbddb · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.761103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cdd5a01-ede6-48d2-8ddd-81b0c4cea6f9 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.266565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb94db91-7184-4f9b-a4f5-b3db342bb788 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Gonzalez, Ion Stoica, and Eric P

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:59:29.746265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 696847f9-6bb1-4da1-8c23-928e98a7667a · outbound

This paper cites Questioning the Survey Responses of Large Language Models.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Questioning the Survey Responses of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.275601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8ddcba-dffc-4d4f-b7db-49829903b8d3 · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.280493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469a84e8-5f6d-4cb0-8b9a-22fee4d63afc · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.285425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d781281-fcc3-40e5-86c5-630cbac86e9e · outbound

This paper cites Haerpfer, R.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Haerpfer, R

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.290296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4384dfcf-059e-426b-9447-35a4f4df041e · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.731799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c0f01b7-5c31-48af-848a-fd5611fa80e7 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.715443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bbe0ce24-e70e-4989-a383-b4fcc12bc568 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.303859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76ef2f0-5ac9-47ab-b641-1dc9384f6be4 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.308491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c9f1a6-331a-4bf1-adcb-b4c1aab9d59f · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.312917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b36ae8-539b-4095-b483-c329f1408770 · outbound

This paper cites Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.317298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbd3712-5a1a-45ef-b6c7-7daaa7b1c9f4 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.671075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01243597-94c9-4d43-91d8-457492d3f93d · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.655730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56679ccb-cfeb-49ff-87ec-3cb0405777b1 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.640682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c63810ae-3427-47d1-a0e1-a6cc918488e6 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.625474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 148c3db8-c796-4d8f-b5c3-537d989f79d0 · outbound

This paper cites Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.340224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c82df5d-a701-4474-8b1f-4dfc83f76e61 · outbound

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Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.344945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 954dc7b5-0623-454f-a28d-f39d5e3bd0b6 · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:59:29.609272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0672fe61-6020-45a2-a0f7-5efd525908b9 · outbound

This paper cites On the Calibration of Multilingual Question Answering LLMs.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations On the Calibration of Multilingual Question Answering LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.354417Z

Source-reported events for the cited work

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Observation 25ffec99-bfc7-44a1-9188-ff70bca0d88f · outbound

This paper cites an unresolved cited work.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.358889Z

Source-reported events for the cited work

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Observation c1aa4f09-dc96-4747-bddc-761bf9b2670b · outbound

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Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations online" 'onlinestring :=

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219f937c-b1e0-4b74-b60d-52e1aa83f22d · outbound

This paper cites write newline.

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations write newline

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T13:59:29.368263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4d1a4722-e479-41a7-be09-50656d82bfc2 · inbound

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions cites this paper.

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:02:27.077424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7307b02b-ed9c-40b2-9356-b0d0a84345e0 · inbound

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling cites this paper.

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17c43076-b9ff-4e4a-ac06-b24e698a407b · inbound

Tailored untruths: How personalisation challenges LLM safeguards cites this paper.

Tailored untruths: How personalisation challenges LLM safeguards Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T09:55:53.349973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8d0ce7-04e2-4220-9111-e824f839c88e · inbound

Graph-Based Alternatives to LLMs for Human Simulation cites this paper.

Graph-Based Alternatives to LLMs for Human Simulation Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T00:50:33.376392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31659f95-7b23-4b7b-ab42-4abe4323bd9a · inbound

Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science cites this paper.

Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:55:46.430225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c965b916-428c-434d-95e4-452735920acf · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:12.047930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.