Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:42.440850Z
Paper Citation Record · LEDGER
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.06101.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy9
- unresolved4
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cdba09af-7172-4744-9bc6-c2d2d5575167 · outbound
This paper cites Directive.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Directive
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.629355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a88028a2-dabb-44fb-b358-0895b0e63afb · outbound
This paper cites Immediate.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Immediate
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.613059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ffdbe87-2ac3-4330-a569-eafd51cc6540 · outbound
This paper cites In Machine Learning for Health (ML4H), pages 82–100.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis In Machine Learning for Health (ML4H), pages 82–100
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.718216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1581d5eb-728f-4986-90d3-f96d256dd82c · outbound
This paper cites yes, <reasoning for metaphor detection>.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis yes, <reasoning for metaphor detection>
Reference 4
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T21:09:42.579223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3cbcb931-777c-4eab-9bbc-9b5464b8ae47 · outbound
This paper cites COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T21:09:42.525671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f7866677-290a-48ea-8496-640483978df1 · outbound
This paper cites International Journal of Social Psychiatry, 69(8):1882–1889.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis International Journal of Social Psychiatry, 69(8):1882–1889
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.663851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 435710f1-0412-460a-9d20-d6d2a9f3b7b6 · outbound
This paper cites medRxiv, pages 2023–08.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis medRxiv, pages 2023–08
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.646928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3dbc1498-c00f-41e3-afe3-d482511669f9 · outbound
This paper cites ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:42.412029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 978fccc1-60ae-4db2-ac34-f1e1b52cc6e6 · outbound
This paper cites Open-Ended.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Open-Ended
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.596623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d15f67d8-f578-480a-94fc-445891ee769d · outbound
This paper cites Journal of Counseling & Development, 79(3):269–274.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Journal of Counseling & Development, 79(3):269–274
Reference 2001
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.700260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 29bf9fd7-ba3a-4a4e-be86-cc8446c2a317 · outbound
This paper cites Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:42.393211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dd2c197-1f98-4ef7-a6c1-3c43f9012ea8 · outbound
This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:42.370172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 120f52e1-2491-499c-928a-86ba969bc99f · outbound
This paper cites In Extended abstracts of the 2021 CHI conference on human factors in computing systems, pages 1–7.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis In Extended abstracts of the 2021 CHI conference on human factors in computing systems, pages 1–7
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.681186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c39b959a-2851-4591-beb7-1e9d29c35d0a · outbound
This paper cites Proceedings of the National Academy of Sciences, 120(30):e2305016120.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Proceedings of the National Academy of Sciences, 120(30):e2305016120
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:09:42.736316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation af21b094-d72b-46dc-843d-765c5c5ab19e · outbound
This paper cites Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy.
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:42.352917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.