Paper Citation Record · LEDGER

Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.10198.

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

pith.paper-citation-record.v1
2302.10198 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:36.498252Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

148
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 391461eb-3595-4cdb-af96-7dd886cacb73 · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:19:17.157824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93c2f745-2741-448f-989d-c211c74e6153 · inbound

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications cites this paper.

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:36.498252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19111194-d89d-4754-ad24-cd56f3781925 · inbound

Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design cites this paper.

Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:32.670079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b40419a8-d287-42a9-a7dc-81a4c0e3a6ce · inbound

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges cites this paper.

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-05T21:03:14.908461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82b05927-2cee-4aed-9002-ad59b6700f05 · inbound

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA cites this paper.

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T12:37:47.057058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc506d3-f6d4-4c64-be06-4a37714a3e21 · inbound

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis cites this paper.

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:26.013844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30b5b061-3b76-4a61-a932-33f0bc455a4d · inbound

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions cites this paper.

Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-30T20:11:00.786338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.