{"as_of":"2026-08-17T19:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c5ae701f440862738433025d337bcbd3752c3d30f62d94c0354ed84fbd262115","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:09:42.440850Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.06101/citation-record","integrity":"/paper/2501.06101/integrity","json":"/paper/2501.06101/citation-record.json","paper":"/paper/2501.06101"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.624035Z","title":"Directive","venue":null,"work_id":"7375eb37-e8ef-4a86-bc77-cb83e4e0696d","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.419573Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:e2c8d9268e09e329a53e6052ac8df4ecc9addb6f5ad11511764f73667d11603b","observation_id":"cdba09af-7172-4744-9bc6-c2d2d5575167","resolution":{"observed_at":"2026-08-10T21:09:42.629355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.607655Z","title":"Immediate","venue":null,"work_id":"15a3359a-7666-43b3-8304-9e4b0146a29d","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.425718Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:438d406de4f31c393ec56cfd9c8bec81769a0a32a11e0bb81ea1b6cd157992b1","observation_id":"a88028a2-dabb-44fb-b358-0895b0e63afb","resolution":{"observed_at":"2026-08-10T21:09:42.613059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.711863Z","title":"In Machine Learning for Health (ML4H), pages 82–100","venue":null,"work_id":"bf36ed85-8b5f-4b20-a87f-3573025e3b84","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.365451Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:ade33b44febe97ba572647593396effea521d47552b3c75605c6b2d13b98a9ba","observation_id":"4ffdbe87-2ac3-4330-a569-eafd51cc6540","resolution":{"observed_at":"2026-08-10T21:09:42.718216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.573311Z","title":"yes, <reasoning for metaphor detection>","venue":null,"work_id":"f1ad0ba7-2554-42a9-be68-0abd06d03287","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.440850Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:020609be5f900d6b1fa6b6e3c77b4752b69e0b6a03259473aecfc25e9adceabe","observation_id":"1581d5eb-728f-4986-90d3-f96d256dd82c","resolution":{"observed_at":"2026-08-10T21:09:42.579223Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14701","last_updated":"2025-04-14T16:58:34Z","snapshot_observed_at":"2026-08-16T14:16:10.594963Z","submitted_at":"2024-02-22T16:56:44Z","title":"COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling","version":3},"cited_work":{"arxiv_id":"2402.14701","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.14701","snapshot_observed_at":"2026-08-10T21:09:42.517689Z","title":"COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling","venue":"cs.CL","work_id":"4e3f4723-06e9-4ffa-96bf-0afd4579bedd","year":2024},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.376369Z"},"links":{"cited_paper":"/paper/2402.14701","citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:d1010b3a1aa700a97cab3c58aadefa4a448644b717f04f36e07ce2d4b7d92452","observation_id":"3cbcb931-777c-4eab-9bbc-9b5464b8ae47","resolution":{"observed_at":"2026-08-10T21:09:42.525671Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.659118Z","title":"International Journal of Social Psychiatry, 69(8):1882–1889","venue":null,"work_id":"b3f9c218-5262-414d-9068-f537266ecde7","year":2019},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.399661Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:d6e03356eba6a3d6be7dcf56d2893cdd5ecd868cca488bbf3a9c52b664fe8797","observation_id":"f7866677-290a-48ea-8496-640483978df1","resolution":{"observed_at":"2026-08-10T21:09:42.663851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.641539Z","title":"medRxiv, pages 2023–08","venue":null,"work_id":"8ce34b2f-4c07-4256-bbb9-29ddf24370f5","year":2023},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.405273Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:2f92636a4a981115d871fae701c451a0a72e9969a48d775d61b0d8362c17d7fd","observation_id":"435710f1-0412-460a-9d20-d6d2a9f3b7b6","resolution":{"observed_at":"2026-08-10T21:09:42.646928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06588","last_updated":"2023-04-13T14:51:40Z","snapshot_observed_at":"2026-08-16T15:40:40.320080Z","submitted_at":"2023-04-13T14:51:40Z","title":"ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06588","snapshot_observed_at":"2026-08-10T21:09:42.412029Z","title":"uh, they suggest trying to think of prob- lems as challenges rather than threats","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.412029Z"},"links":{"cited_paper":"/paper/2304.06588","citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:929d1b80a91c0fbe7303d2463940902ab9ceddf75b7bfaba4fca5d48852442b2","observation_id":"3dbc1498-c00f-41e3-afe3-d482511669f9","resolution":{"observed_at":"2026-08-10T21:09:42.412029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.590255Z","title":"Open-Ended","venue":null,"work_id":"c5952423-48c1-4257-9e9a-242ac35e950e","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.433394Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:99dca18667efb154f3478be3ac4769af36223a5740242469c274fb200cc1870b","observation_id":"978fccc1-60ae-4db2-ac34-f1e1b52cc6e6","resolution":{"observed_at":"2026-08-10T21:09:42.596623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.693770Z","title":"Journal of Counseling & Development, 79(3):269–274","venue":null,"work_id":"8851d072-162e-492d-9b4a-e8cde942ce15","year":2023},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.382715Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:d73424741cb89ffe5ca754f367c331326ac5665d53c7d22d9b173fa06a328ed1","observation_id":"d15f67d8-f578-480a-94fc-445891ee769d","resolution":{"observed_at":"2026-08-10T21:09:42.700260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02466","last_updated":"2023-05-04T00:12:52Z","snapshot_observed_at":"2026-08-16T21:14:31.089533Z","submitted_at":"2023-05-04T00:12:52Z","title":"Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02466","snapshot_observed_at":"2026-08-10T21:09:42.393211Z","title":"Psychology and Psychotherapy: Theory, Research and Practice, 86(3):294–314","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.393211Z"},"links":{"cited_paper":"/paper/2305.02466","citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:9cf0775f6936b0ff1e6fa3da446a722573e6d66f74c621a303f31ca4ec9f6c15","observation_id":"29bf9fd7-ba3a-4a4e-be86-cc8446c2a317","resolution":{"observed_at":"2026-08-10T21:09:42.393211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.03654","last_updated":"2021-10-06T21:02:00Z","snapshot_observed_at":"2026-08-16T13:36:21.119762Z","submitted_at":"2020-06-05T19:54:34Z","title":"DeBERTa: Decoding-enhanced BERT with Disentangled Attention","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.03654","snapshot_observed_at":"2026-08-10T21:09:42.370172Z","title":"Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.370172Z"},"links":{"cited_paper":"/paper/2006.03654","citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:4e8f30c3503287126fa3a1d2fe48d8c773a28eb1a77f2350de859c19aa08fe9e","observation_id":"2dd2c197-1f98-4ef7-a6c1-3c43f9012ea8","resolution":{"observed_at":"2026-08-10T21:09:42.370172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.675893Z","title":"In Extended abstracts of the 2021 CHI conference on human factors in computing systems, pages 1–7","venue":null,"work_id":"02ca41ca-09da-4949-8034-2113ec85ed3c","year":2021},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.387587Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:0e713232c02ec2a1b125257ff2725826bbdcb3f2670e0c4826a24d1c71a8bc13","observation_id":"120f52e1-2491-499c-928a-86ba969bc99f","resolution":{"observed_at":"2026-08-10T21:09:42.681186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:09:42.729655Z","title":"Proceedings of the National Academy of Sciences, 120(30):e2305016120","venue":null,"work_id":"6319b56d-ddc9-4eb5-80e5-9604c1707f77","year":null},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.359727Z"},"links":{"citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:8181616049c6552fa22991023d4397630b7b61584dd5bc2ba6d9186d90dfe2c0","observation_id":"c39b959a-2851-4591-beb7-1e9d29c35d0a","resolution":{"observed_at":"2026-08-10T21:09:42.736316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00112","last_updated":"2024-08-27T17:25:16Z","snapshot_observed_at":"2026-08-16T13:23:25.790995Z","submitted_at":"2024-08-27T17:25:16Z","title":"Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00112","snapshot_observed_at":"2026-08-10T21:09:42.352917Z","title":"Journal of Machine Learning Research, 25(70):1–53","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:42.352917Z"},"links":{"cited_paper":"/paper/2409.00112","citing_paper":"/paper/2501.06101"},"observation_digest":"sha256:11fa33a4d58b5f63d344acd258ea345f2752b22597baf5b6f5d1cfe720c07f5a","observation_id":"af21b094-d72b-46dc-843d-765c5c5ab19e","resolution":{"observed_at":"2026-08-10T21:09:42.352917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.06101","last_updated":"2025-02-18T22:02:42Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T10:58:04.022553Z","submitted_at":"2025-01-10T16:54:20Z","title":"From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":15},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"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."}