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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.222510Z digest=sha256:3de484e273d10376ec1704e26240306af8c672be7a0fb69adbb995739366d76f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.227489Z digest=sha256:5531dc3b69790483714c03cfbfe3244f495579dbbf6e4f3a8e0f2a2cd3e1a8bf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.232282Z digest=sha256:58b3195f9ad1099bba24f9ffc43603952b8b4f3a475439ee58d64513440bc012

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.237248Z digest=sha256:85426690968794c3ca7ea7cbc2fd3c1870470d7454b742a377f773984092638b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.242772Z digest=sha256:3ce7fb36e1e136321e47dc04ad6ca6d6ed32bbd5e3dfa487a81c56de718481e2

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
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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 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:59:29.252883Z digest=sha256:dbe511dd5e12fdaee946807210ad7e11d6015a810b932099e4349aa2820a9d13

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.257245Z digest=sha256:45520234318323b36329cca8aae93b5e2a07e41ed1d561ad66970b1f36594012

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T13:59:29.262071Z digest=sha256:c95ab6911fee0f43fadd15e4d703ca34b78665e676ebb9c69136f23abf3346eb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.266565Z digest=sha256:ad38eea4293affea027581415d6c9fea7cd2f04b582de423c0a723fe55be9e56

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.275601Z digest=sha256:4afff4a3056bb6ff3695757637b4dc6dec9d9d72c5388eadd5127b59c402b3b6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.280493Z digest=sha256:bb7e36792f5ed005b2543c36e1f529a6d5cffd40729540006f400a05a6916f73

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.285425Z digest=sha256:591e070a7815c79279ab76bcd0c7121f7332c29c0026c6afdd862a65405bd9fd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.290296Z digest=sha256:5d6c38c693df873072dd2e969f1ce697ebdb5b9fb04a70f4e2bf817cd797684d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.303859Z digest=sha256:ccb5c86f241f8f9df5fc703400c77c277270cba5411a42fc5b6930f794878f78

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.308491Z digest=sha256:c4092776127d8ddccdfb57eab4946cbd0166e9b46df4b23bf29044f3ba505c6d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.312917Z digest=sha256:88254e1dabeaad1f82c44b0b16c4701d7b1034df23ade4e0d102498a10548c47

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites LLaMA: Open and Efficient Foundation Language Models.

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

Reference 28

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:59:29.368263Z digest=sha256:24f3df9561a1acfcbc0ae18c3b62928de3194aad7c1eb61de44eedc0a028a6be

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 2026-08-10T06:31:04.303077+00:00.

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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

Resolution
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arxiv_id, observed 2026-05-19T09:27:14.859283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:55:53.349973Z digest=sha256:af2d2967e857e45e587c64d6c69137b1b9e9e29cf34ffffea3e515f9830ae839

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

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T22:30:07.830390Z digest=sha256:bc8c091d53e3b0e2f3b36c57158f6fcb2f3015193747cc77a5a2c9fc83cc90e3

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.

source=arxiv_source observed=2026-08-01T23:43:12.047930Z digest=sha256:5f7f6f61f46ef134d35075bbef6d9131fb3e89a231905e4a40472bc52219cd9d