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Paper Citation Record · LEDGER

Are Large Language Models Good at Detecting Propaganda?

As of 20 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2505.13706.

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

pith.paper-citation-record.v1
2505.13706 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:27.562749Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:18.643294Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:19:18.962000Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9790312-2cde-4dc3-8bda-e539d053e24f · outbound

This paper cites phrase”:“< technique >.

Are Large Language Models Good at Detecting Propaganda? phrase”:“< technique >

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:27.880942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:13:27.562749Z digest=sha256:46ba396fc93a2b750ae019fef2c8564ba99485266fad4b9d393e956d1510438f

Observation 4613341f-ebab-4241-9a90-c735c28ffbeb · outbound

This paper cites How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

Are Large Language Models Good at Detecting Propaganda? How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.251471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.251471Z digest=sha256:4d5cb62693958323b26925678a7916c5e1dd2135c3e99a9180c4b450d9aec2f8

Observation 7e09d6c1-7618-4dff-8437-4893850133fb · outbound

This paper cites ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them.

Are Large Language Models Good at Detecting Propaganda? ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.256014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.256014Z digest=sha256:7eb8e11fff11cf66b53962d878516925509d0f19a8ec5ddd650eda9cac57e42d

Observation 78f5a409-d007-465c-9bad-28bfcc7a6a45 · outbound

This paper cites Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!.

Are Large Language Models Good at Detecting Propaganda? Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.306338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.306338Z digest=sha256:a7333bfdb0055eaf1d84ddbf59e130963d92d85c58d73f16eeeed28f4d702bd3

Observation ed53cd99-55b6-4565-80a1-0271c8a36396 · outbound

This paper cites SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.

Are Large Language Models Good at Detecting Propaganda? SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.392556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.392556Z digest=sha256:2ea5426940a5fe470a8cb07960161f34b1cc431f90762e5ba171a3e72928b47c

Observation 6dd82b26-ce3f-4a53-b88f-1a965fdd4a17 · outbound

This paper cites In 2023 IEEE/ACM 45th International Conference on Soft- ware Engineering (ICSE), 2450–2462.

Are Large Language Models Good at Detecting Propaganda? In 2023 IEEE/ACM 45th International Conference on Soft- ware Engineering (ICSE), 2450–2462

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:27.978404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:13:27.397965Z digest=sha256:f9b0efa1d378a001053a60f17f8cf29203e3628e7ca7a92b96557c233e417497

Observation 81cba73a-8ad5-4afd-9412-9f7d8b19e749 · outbound

This paper cites GPT-RE: In-context Learning for Relation Extraction using Large Language Models.

Are Large Language Models Good at Detecting Propaganda? GPT-RE: In-context Learning for Relation Extraction using Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.402779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.402779Z digest=sha256:ae6088f3bc49872d12e6c10dddcbf1455cec0cbe533eb4e97cd8037825a18712

Observation 561b65ba-3796-4411-9f66-4abbbac5b159 · outbound

This paper cites Document-Level Machine Translation with Large Language Models.

Are Large Language Models Good at Detecting Propaganda? Document-Level Machine Translation with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.408074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.408074Z digest=sha256:c85398e6bb3c4ded2b3b22329e69a9403ab607d3097284a6e7665920be591920

Observation 1786cf53-09b1-43a2-9024-539d9c205c58 · outbound

This paper cites ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT.

Are Large Language Models Good at Detecting Propaganda? ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.417582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.417582Z digest=sha256:53467f967115d67bf94580ba79f9282c6b41f87ced1823edc41ea53e6e465fea

Observation 9aff511c-9a1e-47ed-84bc-331b2e139b68 · outbound

This paper cites Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.

Are Large Language Models Good at Detecting Propaganda? Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.482395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.482395Z digest=sha256:71afebe7c51a65fb02f4008844f15c84b5ea5ffdf7cc2622b8112880975461d8

Observation 1468322e-b72f-4504-b88a-be7c08d7a9cd · outbound

This paper cites Large Language Models are Built-in Autoregressive Search Engines.

Are Large Language Models Good at Detecting Propaganda? Large Language Models are Built-in Autoregressive Search Engines

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.555765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.555765Z digest=sha256:b54790c59e3eab9ed6a0154c9a7de6fa83a5368dd7d09db173270d0cc4da2213

Observation efb05794-97d8-4c0f-a809-28b2433ef82c · outbound

This paper cites Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.

Are Large Language Models Good at Detecting Propaganda? Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks

Reference 1939

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.261306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.261306Z digest=sha256:0d70aedd5bf925ec1e5a54e51e9bf8b56fb8c15a3e54d1004c08f3cf1238eeef

Observation 075b435a-4d6b-499e-85e4-36addd658493 · outbound

This paper cites an unresolved cited work.

Are Large Language Models Good at Detecting Propaganda? Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:13:28.078675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:13:27.239585Z digest=sha256:d239ddf70d9d0cc75c624f170351bf5d303bb4b49c04e407b0941946512029b8

Observation d292c51a-4b2f-47b6-9543-654dbc6003e7 · outbound

This paper cites The International Journal of Press/Politics, 25(3): 357–389.

Are Large Language Models Good at Detecting Propaganda? The International Journal of Press/Politics, 25(3): 357–389

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:13:28.059202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:13:27.245191Z digest=sha256:4f243751c8fac11e1031a197bd42ad01154803bc15aa22579606ac676477fb65

Observation 5483c0d9-6c24-4f2e-a6ca-b6fe1eec2ffd · outbound

This paper cites Generated Knowledge Prompting for Commonsense Reasoning.

Are Large Language Models Good at Detecting Propaganda? Generated Knowledge Prompting for Commonsense Reasoning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.266009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.266009Z digest=sha256:c1a00e0fa21228a2b17bb65c5b12612a023fb535ee094b804759a42747a094c4

Observation 0179eea1-ce60-4cc3-98f7-cf3bf9f566f3 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Are Large Language Models Good at Detecting Propaganda? Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.412738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.412738Z digest=sha256:211e0bf53942366ba34d3f6e8557cc1582d27bd6522b2c5651ead45d30b482ed

Observation ed629592-f572-4b39-a4e2-e8d6691cf4dc · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Are Large Language Models Good at Detecting Propaganda? A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:27.225170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.225170Z digest=sha256:397aa9cdd4f8f7d6f5cc9f3a5d4320cc53c2082f769f8a78c6c0a5d4104722a3

Pith citing papers

Observation 9827ce71-d036-4243-a66d-d7f0853fedb8 · inbound

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence cites this paper.

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence Are Large Language Models Good at Detecting Propaganda?

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:19:18.966545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-15T18:19:18.643294Z digest=sha256:a70d28c5329a68f523d86a76b501379d428eebcfae57ab2d6d0db06c9dec9f39