Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.14774.
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 2026-08-07T11:59:19.999954Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T11:08:03.538290Z
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 860b2bf3-c9a9-4a95-8683-983ed35396f5 · inbound
Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues cites this paper.
Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:59:19.999954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d7d5fc9-1a4a-4e0e-a29d-7d8964080108 · inbound
AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries cites this paper.
AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:06:11.677061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aeb42ab-2a0b-4ae1-8985-b83a9dff6e47 · inbound
On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study cites this paper.
On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T11:08:03.539803Z
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.