{"as_of":"2026-08-13T13:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51c9764769a8cd061b4c21041fa9e338e9059dff9aeedcb4ca612befc0b03289","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T19:43:37.012044Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T20:08:38.026352Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T22:15:48.104448Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"cited_work":{"arxiv_id":"2509.09125","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.09125","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2509.09125 (2025) Decoding Student Dialogue: Large Language Models as Annotation Tools 9","venue":null,"work_id":"5ed75a20-d7b3-43ee-a15f-366e79998059","year":2025},"citing_paper":{"arxiv_id":"2604.04370","last_updated":"2026-04-06T02:36:52Z","snapshot_observed_at":"2026-08-08T15:49:20.586429Z","submitted_at":"2026-04-06T02:36:52Z","title":"Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T20:08:38.026352Z"},"links":{"cited_paper":"/paper/2509.09125","citing_paper":"/paper/2604.04370"},"observation_digest":"sha256:8e5960ca8edc91762ee8eb39d86c117541ac31cda4f5467add6407970e266806","observation_id":"3c0263b5-9db5-4955-bed2-9b06a352885f","resolution":{"observed_at":"2026-05-10T22:15:48.108745Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.09125/citation-record","integrity":"/paper/2509.09125/integrity","json":"/paper/2509.09125/citation-record.json","paper":"/paper/2509.09125"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.668199Z","title":"However, when using the gpt-4 model (Table 5), there was some improvement with CoT","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.668199Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:3141d5e639ee6ceede9bb4de66b2a6b7128adb077c517b05b45951ddc6f592f8","observation_id":"e823478c-dfa6-45f7-8249-4aa2b6c35d5f","resolution":{"observed_at":"2026-08-04T19:43:36.668199Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.310733Z","title":"Correspondingly, we made changes in system messages for these three situations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.310733Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:6f00ee4275819d17552986d70ea03ab12924ffab158660c60847e0fdb00545a5","observation_id":"f20f75fe-eb52-4228-9da3-5f2937e1c095","resolution":{"observed_at":"2026-08-04T19:43:36.310733Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.230303Z","title":"Choose ONLY ONE tag from 'Hint' and 'Correction' In Table 1, we illustrated four different system messages for prompting generative AI to classify tutors' DAs","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.230303Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:26de4ae90a5271e031a2963f66cc0392c54f07b52d2aedaa518c36201e0ce867","observation_id":"9a9d6c91-1c4b-4b2f-b51f-a6f4f8410717","resolution":{"observed_at":"2026-08-04T19:43:36.230303Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.510806Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.510806Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:ab62d5b35a3bcad287d846ef4bb6f45d973a2c42e7d39ece7670d5a1bbdc2378","observation_id":"08e6039f-8d48-4241-aebe-caf4d280b809","resolution":{"observed_at":"2026-08-04T19:43:36.510806Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.392959Z","title":"Table 3 - Impact of System Messages on Model Performance Experimental Conditions f1-score Confirmation Correction Hint Question avg","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.392959Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:eac1ea3503cc24a301f7ef36bdd6df5f1afde6ddf598a7d0d49f9e632f2c4285","observation_id":"25dfec9a-1f92-42c8-92f3-b9a61073042a","resolution":{"observed_at":"2026-08-04T19:43:36.392959Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.802106Z","title":"To mitigate these risks, researchers should follow data minimisation principles by collecting only essential personal information","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.802106Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:a8525f2874186ecdefec6886357c65d372b15d8d6b29130b71fb8176361b1913","observation_id":"b84d83a4-594b-4359-be39-3f2cfd07d638","resolution":{"observed_at":"2026-08-04T19:43:36.802106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.02155","last_updated":"2022-03-04T07:04:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-03-04T07:04:42Z","title":"Training language models to follow instructions with human feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.02155","snapshot_observed_at":"2026-08-04T19:43:37.012044Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:37.012044Z"},"links":{"cited_paper":"/paper/2203.02155","citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:759148416aaecc47976d5299246bb262950984eb916e355ef27e1469f396b79d","observation_id":"6e5bca82-fb50-4a42-ba2a-ed6adc755854","resolution":{"observed_at":"2026-08-04T19:43:37.012044Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.057729Z","title":"the form of utterances), but on why it is said (the function of the utterances)","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":1969,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.057729Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:ff12c5578b13021105b540bdee99e3775801a699c200c3052f5290620c606999","observation_id":"9a0418a2-1203-4d16-bfce-700e94cd819e","resolution":{"observed_at":"2026-08-04T19:43:36.057729Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:35.966331Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:35.966331Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:0dffb14e73e01c6e0d4f2afedf4d1f81cfbff27c4e6c53f561a462a9294435e9","observation_id":"27ace9ac-c9ca-484a-af22-63f97b2609de","resolution":{"observed_at":"2026-08-04T19:43:35.966331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-04T19:43:36.891624Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.891624Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:eee2481e2fcd816323c487897ed99b38ad122e1b76317628452cb3c8ba9a1933","observation_id":"d48184e3-db94-48a5-b344-aa2e6244c962","resolution":{"observed_at":"2026-08-04T19:43:36.891624Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:36.120919Z","title":"All of these models are designed to help machines translate human language into a format they can understand","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:36.120919Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:e4f9eb055600d5a64510c2d4938e035e8531f2903960a6d26f3336b3f4d1aa45","observation_id":"81531181-5406-43bd-8010-87e2fd81fbcf","resolution":{"observed_at":"2026-08-04T19:43:36.120919Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:43:35.851879Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T19:43:35.851879Z"},"links":{"citing_paper":"/paper/2509.09125"},"observation_digest":"sha256:b0fc36e647fe2cf3a2acbf44e4ad01ae6e5799c691ea9aee7f55481e4c18503a","observation_id":"28bfc05d-9ee3-4851-98c5-e210a59234ec","resolution":{"observed_at":"2026-08-04T19:43:35.851879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09125","last_updated":"2025-09-11T03:36:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T10:50:51.512716Z","submitted_at":"2025-09-11T03:36:03Z","title":"Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":12},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2509.09125."}