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Paper Citation Record · LEDGER

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus

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.

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

pith.paper-citation-record.v1
2509.09125 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:43:37.012044Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T20:08:38.026352Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T22:15:48.104448Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e823478c-dfa6-45f7-8249-4aa2b6c35d5f · outbound

This paper cites However, when using the gpt-4 model (Table 5), there was some improvement with CoT.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus However, when using the gpt-4 model (Table 5), there was some improvement with CoT

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.668199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.668199Z digest=sha256:3141d5e639ee6ceede9bb4de66b2a6b7128adb077c517b05b45951ddc6f592f8

Observation f20f75fe-eb52-4228-9da3-5f2937e1c095 · outbound

This paper cites Correspondingly, we made changes in system messages for these three situations.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Correspondingly, we made changes in system messages for these three situations

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.310733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.310733Z digest=sha256:6f00ee4275819d17552986d70ea03ab12924ffab158660c60847e0fdb00545a5

Observation 9a9d6c91-1c4b-4b2f-b51f-a6f4f8410717 · outbound

This paper cites 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.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus 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

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.230303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.230303Z digest=sha256:26de4ae90a5271e031a2963f66cc0392c54f07b52d2aedaa518c36201e0ce867

Observation 08e6039f-8d48-4241-aebe-caf4d280b809 · outbound

This paper cites an unresolved cited work.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.510806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.510806Z digest=sha256:ab62d5b35a3bcad287d846ef4bb6f45d973a2c42e7d39ece7670d5a1bbdc2378

Observation 25dfec9a-1f92-42c8-92f3-b9a61073042a · outbound

This paper cites Table 3 - Impact of System Messages on Model Performance Experimental Conditions f1-score Confirmation Correction Hint Question avg.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Table 3 - Impact of System Messages on Model Performance Experimental Conditions f1-score Confirmation Correction Hint Question avg

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.392959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.392959Z digest=sha256:eac1ea3503cc24a301f7ef36bdd6df5f1afde6ddf598a7d0d49f9e632f2c4285

Observation b84d83a4-594b-4359-be39-3f2cfd07d638 · outbound

This paper cites To mitigate these risks, researchers should follow data minimisation principles by collecting only essential personal information.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus To mitigate these risks, researchers should follow data minimisation principles by collecting only essential personal information

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.802106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.802106Z digest=sha256:a8525f2874186ecdefec6886357c65d372b15d8d6b29130b71fb8176361b1913

Observation 6e5bca82-fb50-4a42-ba2a-ed6adc755854 · outbound

This paper cites Training language models to follow instructions with human feedback.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Training language models to follow instructions with human feedback

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:37.012044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:37.012044Z digest=sha256:759148416aaecc47976d5299246bb262950984eb916e355ef27e1469f396b79d

Observation 9a0418a2-1203-4d16-bfce-700e94cd819e · outbound

This paper cites the form of utterances), but on why it is said (the function of the utterances).

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus the form of utterances), but on why it is said (the function of the utterances)

Reference 1969

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.057729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.057729Z digest=sha256:ff12c5578b13021105b540bdee99e3775801a699c200c3052f5290620c606999

Observation 27ace9ac-c9ca-484a-af22-63f97b2609de · outbound

This paper cites an unresolved cited work.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Unresolved cited work

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:35.966331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:35.966331Z digest=sha256:0dffb14e73e01c6e0d4f2afedf4d1f81cfbff27c4e6c53f561a462a9294435e9

Observation d48184e3-db94-48a5-b344-aa2e6244c962 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.891624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.891624Z digest=sha256:eee2481e2fcd816323c487897ed99b38ad122e1b76317628452cb3c8ba9a1933

Observation 81531181-5406-43bd-8010-87e2fd81fbcf · outbound

This paper cites All of these models are designed to help machines translate human language into a format they can understand.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus All of these models are designed to help machines translate human language into a format they can understand

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:36.120919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:36.120919Z digest=sha256:e4f9eb055600d5a64510c2d4938e035e8531f2903960a6d26f3336b3f4d1aa45

Observation 28bfc05d-9ee3-4851-98c5-e210a59234ec · outbound

This paper cites an unresolved cited work.

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T19:43:35.851879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:35.851879Z digest=sha256:b0fc36e647fe2cf3a2acbf44e4ad01ae6e5799c691ea9aee7f55481e4c18503a

Pith citing papers

Observation 3c0263b5-9db5-4955-bed2-9b06a352885f · inbound

Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools cites this paper.

Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:48.108745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T20:08:38.026352Z digest=sha256:8e5960ca8edc91762ee8eb39d86c117541ac31cda4f5467add6407970e266806