Paper Citation Record · LEDGER

Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.00870.

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

pith.paper-citation-record.v1
2407.00870 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:11:23.872080Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:05:50.148125Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0a5b90b9-5e2e-49f4-8fdd-4aa61a685c71 · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:05:50.154110Z

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.

Observation 28805ecb-f33c-47f0-8d69-780a84d7f7ed · inbound

Fairness Testing of Large Language Models in Role-Playing cites this paper.

Fairness Testing of Large Language Models in Role-Playing Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:18:18.005356Z

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.

Observation b89f5b7d-2578-47af-82a0-6ad04c9bb521 · inbound

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles cites this paper.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.872080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e5e28a-66e9-4f94-b01e-4766eda5a4b1 · inbound

Simulating Couple Conflict: Designing A Multi-Agent System for Therapy Training and Practice cites this paper.

Simulating Couple Conflict: Designing A Multi-Agent System for Therapy Training and Practice Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:17:59.024026Z

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.