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Paper Citation Record · LEDGER

Are Large Language Models Good at Detecting Propaganda?

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:13:27.562749Z digest=sha256:95b6ab2738b01d6334305a85b9df22e241db04e1525c8493157f6810a559792f

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=sha256:40a2c3239566e5d69562ac42534e05d3d883bf2ad09ffe9eeb866a55378e34fa

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=sha256:6143e105e216e78e77303f4d2a9d3bb5001194b17684d65a7832d69fb9b21893

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:ac42d8a0426c6b1591a38f5f3bc9866b3a6f47cb37f278e197a4d01eebbe1de8

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=sha256:66aac7fbbb1980dd38d409255813d3b355bb80e9a0a92409a643b64d5fe4880e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:13:27.397965Z digest=sha256:fc28fad23a6b9f05570a2d0324f5c02fb70a767ab9e549c0e9fede698ca922bb

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=sha256:4bbcc63bbc1281e717cf2e128843e8f086c8f500df98c58ae1d5dcfeec5f20ba

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=sha256:3eefbeced72116752911057ce1e5ea854b28941714c5ec7015023304378720ce

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:dd06e04fec268a737a2c285bf292319877c955c4286d2fbb75d0801d701a9978

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=sha256:8973f4136c000e0dbcc326b630cdfdaf54e9070424d89f13dc8c99f7462675dc

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:ce5dc0ff78f4c09e6733f3b5cebcc58d6bd7f9945acd7ebbd929cb641cdc62cc

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=sha256:221f6d8738e43b250bebfe5625626f3f92860a7c63b9c2a667e0e9fb95d5d0d9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:13:27.239585Z digest=sha256:86343c0798f3feca081c5fcce9ebab428be9f9ce0afec0cc7ee3ffcfbd6ab96b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:13:27.245191Z digest=sha256:ab91deb8ecbb4d0f6643636ed0ed9757fd0748a0a73ded7d929542feb3650f63

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:fbb8640b6d0eb964d5cf201cd98f99673d2192b7e137668fd05f2627c1d44722

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=sha256:0ad6f1d04a3825f382ba433dc550e69eede02004144d1b5e4016144f0eea4bfc

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=sha256:217b34286e847107ad1328a953022ff452d4f9b2246afd32d82674e05fc507be

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:19:18.643294Z digest=sha256:e9bbf193ea61cae9e12551990507d971da22adb7c9356cec7968c1b9886e84c2