Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T04:22:46.299811Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.09253.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T04:22:46.299811Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
9 of 9 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8acb5de5-ff61-478e-b678-e707b74536f3 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics To what extent would you describe the health condition as sensitive to discuss?
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdbb56de-67fd-4cd6-a5fd-611050811538 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics It is a benefit that the AI chatbot… can answer an unlimited number of questions
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecc1c8e2-de42-4e8e-857b-82fbf0243c1b · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics These models all returned an error indicating that the number of observations <= number of random effects and was therefore not considered for best fitting model
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf3c159-ff9b-4b73-aa11-ff0049193d91 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics "It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cf66aa9-1dd4-4770-b95c-f88b122fe359 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics Talk to me, i’m secure
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ebabf20-f773-4084-b940-389065119feb · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics Chatting with ChatGPT
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c9a75fe-6076-4dd5-a73b-379d917fa443 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics Journal of Medical Internet Research 8(4): e507
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 282fd18c-9d76-4b5f-869b-ec517941008c · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics Personality and Social Psychology Review 4(2): 174-185
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a01d1a3-3f32-49ca-bb2c-4792083df8a2 · outbound
LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics Understanding the concerns and choices of public when using large language models for healthcare
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.