Paper Citation Record · LEDGER

PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.19660.

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

pith.paper-citation-record.v1
2405.19660 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:33.016757Z

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

8
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 48abbb2a-54f3-4e0e-a86d-fee3bf38fe1c · inbound

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting cites this paper.

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T05:06:33.016757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f15aaf2-0587-43f0-a488-6bd2b34ac010 · inbound

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions cites this paper.

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 112

Resolution: malformed identifier; arxiv_id, observed 2026-05-19T10:33:02.597423Z

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 9b495d5d-afa2-48eb-9e2a-d288801807c9 · inbound

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions cites this paper.

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:33.762118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952c1d0a-2ba2-41c5-a2ab-7f1b9e4d4d34 · inbound

DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models cites this paper.

DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention models PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:25:52.763292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65708f7f-079b-4247-896a-14cd598fbca9 · inbound

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems cites this paper.

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:52:43.932352Z

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 915df641-e2e5-4a9a-9794-e2e2eef7d45d · 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 PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:17:59.029598Z

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 43bc74ef-048a-4521-9354-ffe4bc25ef08 · inbound

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins cites this paper.

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:59:57.293670Z

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 6e22bfdc-dfe6-4e60-98b5-cd9777a7de69 · inbound

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:28.249189Z

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 3deb977e-ae27-4638-b727-18f5cc8b253f · inbound

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators cites this paper.

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:56:13.864530Z

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 5405370f-2fa2-4cea-86c4-9f3f185facb5 · inbound

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators cites this paper.

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T14:37:24.324138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bd24ea-418c-4595-b222-5836edea9276 · inbound

Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars cites this paper.

Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:49:03.152167Z

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 20dbd158-5c15-4936-9e7a-224b9ab476c3 · inbound

A Survey of Large Language Models for Perception and Measurement of Human Psychology cites this paper.

A Survey of Large Language Models for Perception and Measurement of Human Psychology PATIENT-{\Psi}: Using Large Language Models to Simulate Patients for Training Mental Health Professionals

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:57.127341Z

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.