Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.10234.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:51:36.334629Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:06:58.474660Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 807e3375-4c8f-4235-bbbd-e7370e653481 · inbound
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics cites this paper.
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:51:36.334629Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f70ecd49-a2b6-4943-a7ee-fed77d8cfed5 · inbound
Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development cites this paper.
Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:11:27.454715Z
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 6cf995c7-c907-4afd-a6e6-61b2795ce4ac · inbound
Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies cites this paper.
Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T13:06:58.476421Z
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.