Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:57.393562Z
Paper Citation Record · LEDGER
Analysis of Propaganda in Tweets From Politically Biased Sources
As of 8 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2507.08169.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
7 of 7 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 26a3f8ed-e280-4562-98b2-d07cc49418dd · outbound
This paper cites Language Models are Few-Shot Learners.
Analysis of Propaganda in Tweets From Politically Biased Sources Language Models are Few-Shot Learners
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:56.910260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8b300a1-aa44-4771-9037-5a87247bc657 · outbound
This paper cites Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception.
Analysis of Propaganda in Tweets From Politically Biased Sources Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:57.072093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b9d354a-6f22-4f19-870f-9f678d692ec5 · outbound
This paper cites Large Language Models for Propaganda Detection.
Analysis of Propaganda in Tweets From Politically Biased Sources Large Language Models for Propaganda Detection
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:57.261331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28843ac6-4ea4-4c11-8901-c6d6e34b163d · outbound
This paper cites ThatiAR: Subjectivity Detection in Arabic News Sentences.
Analysis of Propaganda in Tweets From Politically Biased Sources ThatiAR: Subjectivity Detection in Arabic News Sentences
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:29:57.549094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 648399d7-ce03-4848-9e74-21c0deb07519 · outbound
This paper cites How open are journalists on Twitter? Trends towards the end-user journalism.
Analysis of Propaganda in Tweets From Politically Biased Sources How open are journalists on Twitter? Trends towards the end-user journalism
Reference 454
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:29:57.954384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f8cd9b1f-50e2-4e2f-b3e4-4c41597cac39 · outbound
This paper cites Energy and policy considerations for modern deep learning research.
Analysis of Propaganda in Tweets From Politically Biased Sources Energy and policy considerations for modern deep learning research
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:29:57.751264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ac81000c-57ba-4351-80f4-f706671c9d8e · outbound
This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.
Analysis of Propaganda in Tweets From Politically Biased Sources LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Reference 5646
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:56.991783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.