Paper Citation Record · LEDGER

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.06180.

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

pith.paper-citation-record.v1
2502.06180 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:34:11.788535Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af91c71c-0eed-4d17-b97e-ca6bc6cbbdca · outbound

This paper cites Terrible experience with Uber driver! He was rude and refused to follow the GPS directions #Angry.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Terrible experience with Uber driver! He was rude and refused to follow the GPS directions #Angry

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.997294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 599344a9-ddee-45bb-88fb-90d2fb7cd989 · outbound

This paper cites Just had the best ride ever with the friendliest driver! #HappyCustomer #GreatService.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Just had the best ride ever with the friendliest driver! #HappyCustomer #GreatService

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.984032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80a48352-9927-4952-a874-c77a16703f9d · outbound

This paper cites My ride is taking an unfamiliar route, and I’m getting worried. Is this safe? #Fear.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset My ride is taking an unfamiliar route, and I’m getting worried. Is this safe? #Fear

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.969141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db852a38-72a5-4e22-bebb-39e9480a038f · outbound

This paper cites Computers in human behavior, 31:527–541.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Computers in human behavior, 31:527–541

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:12.024224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5023a9e4-c5e3-4f66-9d6a-37d225f2f215 · outbound

This paper cites Wow, my driver gave me a free upgrade to a luxury car! #Surprised #Love.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Wow, my driver gave me a free upgrade to a luxury car! #Surprised #Love

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.944017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4be89c26-70f9-4337-85e9-b61886106be6 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:34:11.748357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f99aca2-aabe-47fc-a1ff-ed398b3c09bf · outbound

This paper cites Use this label sparingly and only when other emotions are not evident.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Use this label sparingly and only when other emotions are not evident

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.917938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f7de1bd-1cc0-49d1-90c8-034e2514c0ac · outbound

This paper cites Example: "Wow, my driver gave me a free upgrade to a luxury car! #Surprised.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Example: "Wow, my driver gave me a free upgrade to a luxury car! #Surprised

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.956482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66b5c513-158c-4798-b42e-102c64a989fe · outbound

This paper cites Been waiting for my ride for ages. This is so frustrating!#Frustrated #LateAgain.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Been waiting for my ride for ages. This is so frustrating!#Frustrated #LateAgain

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:11.930942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90041777-c0dd-4434-bac8-716539c80cf6 · outbound

This paper cites Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot

Reference 136

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T16:34:11.828576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e51846b4-25ab-4676-bb45-f0689204583d · outbound

This paper cites Thumbs up? Sentiment Classification using Machine Learning Techniques.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Thumbs up? Sentiment Classification using Machine Learning Techniques

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-08T16:34:11.743485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435d1710-fb9d-4d97-9685-1c2218290649 · outbound

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

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-08T16:34:11.730258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d08e57-c207-45b3-9837-9a481a4f964e · outbound

This paper cites Word Affect Intensities.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Word Affect Intensities

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-08T16:34:11.734546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b56b09-674f-41b3-ae28-2bf10e32c5b5 · outbound

This paper cites Expert Sys- tems with Applications, 209:118187.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Expert Sys- tems with Applications, 209:118187

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:34:12.010679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0b7c896-a2bf-4751-ae97-0d58756b79d3 · outbound

This paper cites Sentiment Analysis Across Multiple African Languages: A Current Benchmark.

RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset Sentiment Analysis Across Multiple African Languages: A Current Benchmark

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T16:34:11.903203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.