Paper Citation Record · LEDGER

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.00910.

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

pith.paper-citation-record.v1
2607.00910 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T02:46:51.196540Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

22 of 22 outbound references displayed

verified exact17
verified fuzzy3
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdafd8a4-aafe-410f-87cc-78b5fe5dd536 · outbound

This paper cites Generative agents in agent-based modeling: Overview, validation, and emerging challenges.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Generative agents in agent-based modeling: Overview, validation, and emerging challenges

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.564371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fd65a1e6-98b3-4977-b1b6-dedf817433c5 · outbound

This paper cites SIN Brescia--Caffaro.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population SIN Brescia--Caffaro

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:52:09.544282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4c0f594-d451-4473-a61f-cf3c06c335fb · outbound

This paper cites Generation of synthetic populations in social simulations: A review of methods and practices.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Generation of synthetic populations in social simulations: A review of methods and practices

Reference 3

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.587923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84828bce-4458-43f0-9d88-5fb93f7842dd · outbound

This paper cites SIN Brescia Caffaro -- Portale del Commissario Straordinario.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population SIN Brescia Caffaro -- Portale del Commissario Straordinario

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:52:09.546733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee3540ac-5630-4f3d-88cb-36f0289747e3 · outbound

This paper cites Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.650933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7afc5015-efdb-499a-936d-c720118354a9 · outbound

This paper cites SimComm : Institutional risk communication in contaminated urban communities --- a synthetic population experiment, 2026.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population SimComm : Institutional risk communication in contaminated urban communities --- a synthetic population experiment, 2026

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T08:52:09.542325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e1a44bf-c4c4-4a91-9784-802828cbac4d · outbound

This paper cites Large language models empowered agent-based modeling and simulation: A survey and perspectives.Humanities and Social Sciences Communications, 11(1):1259.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Large language models empowered agent-based modeling and simulation: A survey and perspectives.Humanities and Social Sciences Communications, 11(1):1259

Reference 7

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.580991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a68f18a8-5ac5-4e49-a3e3-df4749510a6d · outbound

This paper cites Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques

Reference 8

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.565822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63dff74a-478b-46f4-9a6f-357ab79e721d · outbound

This paper cites This human study did not involve human subjects: Validat- ing llm simulations as behavioral evidence.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population This human study did not involve human subjects: Validat- ing llm simulations as behavioral evidence

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.659993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 011909af-962c-40bd-a9eb-d65dc54bd1b2 · outbound

This paper cites doi:10.1103/physrev.106.620 , url =.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population doi:10.1103/physrev.106.620 , url =

Reference 10

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.590937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66250abf-3812-49b8-afce-aac99acaebe7 · outbound

This paper cites A deep generative model for feasible and diverse population synthesis.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population A deep generative model for feasible and diverse population synthesis

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.592359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 622ea8b9-3811-404c-8058-dcbec87d6f19 · outbound

This paper cites Validation is the central challenge for generative social simulation: A critical review of llms in agent-based modeling.Artificial Intelligence Review, 59 (1):15.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Validation is the central challenge for generative social simulation: A critical review of llms in agent-based modeling.Artificial Intelligence Review, 59 (1):15

Reference 12

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.574750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da1d732f-166e-44c4-992d-d62dbe4ab501 · outbound

This paper cites Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chen- hao Zhang, Noah Wang, Qixuan Zhao, Liyang Fan, CHENGGUANG GAN, Hongquan Lin, and 1 others.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chen- hao Zhang, Noah Wang, Qixuan Zhao, Liyang Fan, CHENGGUANG GAN, Hongquan Lin, and 1 others

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:28.655656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23f39469-8c31-4a3a-ad1a-a0ed43096db3 · outbound

This paper cites Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.632893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e11bf692-bdaa-4f0e-964e-58076ba94ccf · outbound

This paper cites Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.664277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d34f98da-62dd-44c9-937e-2f5f162b999c · outbound

This paper cites Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.647132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22de6c26-55d0-4700-9b00-22968186f58e · outbound

This paper cites O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.582105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a4819e4-c74f-4d8c-b139-3607cf0e0ca9 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:56:28.641645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13b06738-e1a9-4b0b-b283-d5160e6d99d1 · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:28.630210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb147217-3fd0-49b9-a60b-38e616b4267c · outbound

This paper cites Integrating llm in agent-based social simulation: Opportunities and challenges.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Integrating llm in agent-based social simulation: Opportunities and challenges

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.638290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85b03608-9b39-44db-a34c-aa8640cc6806 · outbound

This paper cites Generating Feasible and Diverse Synthetic Populations Using Diffusion Models.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Generating Feasible and Diverse Synthetic Populations Using Diffusion Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:56:28.657172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f49bd3a-988b-4088-9e1c-16b531f83e57 · outbound

This paper cites Generating realistic synthetic population datasets.

Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Generating realistic synthetic population datasets

Reference 22

Resolution: verified exact; doi, observed 2026-07-02T02:56:28.588199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.