Paper Citation Record · LEDGER

"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.05856.

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

pith.paper-citation-record.v1
2212.05856 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:03:06.815710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:01:03.111276Z

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 a1d7dec2-3d01-43b4-98b5-5ee076e054f2 · inbound

Advancing LLM detection in the ALTA 2024 Shared Task: Techniques and Analysis cites this paper.

Advancing LLM detection in the ALTA 2024 Shared Task: Techniques and Analysis "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T01:03:06.815710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118c7756-a715-465e-9261-ea39ce044fa2 · inbound

The Future of AI: Exploring the Potential of Large Concept Models cites this paper.

The Future of AI: Exploring the Potential of Large Concept Models "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:24.746719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a029ac3a-a4e2-4489-86e7-46bc25100fa8 · inbound

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses cites this paper.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:06.356913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28329d14-e246-4434-8e7a-3a5c630c4141 · inbound

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:47.998859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d974e214-872a-4765-b2ad-a29cff4991a7 · inbound

Comparative Analysis of Large Language Models in Healthcare cites this paper.

Comparative Analysis of Large Language Models in Healthcare "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:16:07.942494Z

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.

Observation 96ff22d5-cd72-4ecf-a1f2-6964d045b064 · inbound

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management cites this paper.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.116043Z

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.