Paper Citation Record · LEDGER

Out of One, Many: Using Language Models to Simulate Human Samples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2209.06899.

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

pith.paper-citation-record.v1
2209.06899 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:46:45.923724Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

92
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 89ed21fa-de56-4daa-9062-8a0a456295fb · inbound

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators cites this paper.

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Out of One, Many: Using Language Models to Simulate Human Samples

Reference 137

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:13:04.763401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aeab5843-e684-42b4-b957-6ed11bf65379 · inbound

From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis cites this paper.

From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis Out of One, Many: Using Language Models to Simulate Human Samples

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T20:46:45.877705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1c7402d-4421-4849-904c-bd91268464fd · inbound

From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis cites this paper.

From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis Out of One, Many: Using Language Models to Simulate Human Samples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T20:46:45.923724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08569814-a49b-4695-92ac-52314cefb949 · inbound

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games cites this paper.

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games Out of One, Many: Using Language Models to Simulate Human Samples

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:00:10.259911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f7564d-21c5-43ca-8562-1bda42a62b49 · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models Out of One, Many: Using Language Models to Simulate Human Samples

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:02:52.708252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d252832-0c1b-40d7-9b6f-5d17c5216f15 · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models Out of One, Many: Using Language Models to Simulate Human Samples

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:32.027600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dc092e8-19a5-4c9e-8f1b-fdf4e73f2bcc · inbound

Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation cites this paper.

Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation Out of One, Many: Using Language Models to Simulate Human Samples

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:46:44.890524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49e55021-a66b-4e6f-b486-4047ed5adc78 · inbound

Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization cites this paper.

Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimization Out of One, Many: Using Language Models to Simulate Human Samples

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:13:27.567995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b15607dd-0cba-4080-9451-de3354819a58 · inbound

Child-directed speech facilitates production, not comprehension, in BabyLMs cites this paper.

Child-directed speech facilitates production, not comprehension, in BabyLMs Out of One, Many: Using Language Models to Simulate Human Samples

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.341245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e8f5077-fddd-4897-b525-268d49fd82b3 · inbound

Characterizing initial human-AI proof formalization workflows cites this paper.

Characterizing initial human-AI proof formalization workflows Out of One, Many: Using Language Models to Simulate Human Samples

Reference 218

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T04:06:34.889335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 587187d6-4c3f-4521-be65-6a1d979a0d6c · inbound

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication cites this paper.

Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication Out of One, Many: Using Language Models to Simulate Human Samples

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:05:00.239029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.