Paper Citation Record · LEDGER

Fake News Detection After LLM Laundering: Measurement and Explanation

As of 19 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2501.18649.

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

pith.paper-citation-record.v1
2501.18649 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:03.887694Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:54.478102Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:31:58.784964Z

Reference resolution

69 of 69 outbound references displayed

verified exact10
verified fuzzy42
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3229cac3-83a1-4486-8ec2-ebbe13a78290 · outbound

This paper cites Joint copying and restricted gener- ation for paraphrase.

Fake News Detection After LLM Laundering: Measurement and Explanation Joint copying and restricted gener- ation for paraphrase

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.709422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c899c07a-b3bc-409d-a2c4-51e126252679 · outbound

This paper cites Semantic parsing via paraphrasing.

Fake News Detection After LLM Laundering: Measurement and Explanation Semantic parsing via paraphrasing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.698728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ced3dff4-5999-48ce-b208-fe23d1bcf0f7 · outbound

This paper cites Open question answering over curated and extracted knowledge bases.

Fake News Detection After LLM Laundering: Measurement and Explanation Open question answering over curated and extracted knowledge bases

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.687817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d62357fd-724b-475a-9d93-b38a8e50ece5 · outbound

This paper cites Answering questions with complex semantic constraints on open knowledge bases.

Fake News Detection After LLM Laundering: Measurement and Explanation Answering questions with complex semantic constraints on open knowledge bases

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.676470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa3e4d2b-38a9-476c-beb2-8e358bbe3578 · outbound

This paper cites QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension.

Fake News Detection After LLM Laundering: Measurement and Explanation QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.648385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd92657d-f727-49e4-af25-c9a8efbcfa58 · outbound

This paper cites Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

Fake News Detection After LLM Laundering: Measurement and Explanation Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.653239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257b4649-2d95-40cb-a1f4-2b300fb920be · outbound

This paper cites Natural language pro- cessing: state of the art, current trends and challenges.

Fake News Detection After LLM Laundering: Measurement and Explanation Natural language pro- cessing: state of the art, current trends and challenges

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.665134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be233d8c-c0b0-4666-b85e-bb49376145aa · outbound

This paper cites Openai report details election interference efforts, hoaxes.

Fake News Detection After LLM Laundering: Measurement and Explanation Openai report details election interference efforts, hoaxes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.653655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08b60108-49b9-4354-a06c-c51d9aeeb4b5 · outbound

This paper cites Language models are few-shot learners.

Fake News Detection After LLM Laundering: Measurement and Explanation Language models are few-shot learners

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.642586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 872d9e2e-1a8d-458e-90a1-b93217c5f5c4 · outbound

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

Fake News Detection After LLM Laundering: Measurement and Explanation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.669794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70fd48be-1181-4c7c-811c-bf65c5da0580 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Fake News Detection After LLM Laundering: Measurement and Explanation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.631474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b40f05f-f959-4a4e-b58e-8002884cca58 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Fake News Detection After LLM Laundering: Measurement and Explanation LLaMA: Open and Efficient Foundation Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.677824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f419194-8f5f-4470-aeea-11ae4f9ffcfd · outbound

This paper cites Defending against neural fake news.

Fake News Detection After LLM Laundering: Measurement and Explanation Defending against neural fake news

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.619655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7c99a07-06f8-43d0-912b-f7af75912c86 · outbound

This paper cites Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation.

Fake News Detection After LLM Laundering: Measurement and Explanation Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.209542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5beb339-04e4-49b8-8ac0-1059c759aecf · outbound

This paper cites Can LLM-Generated Misinformation Be Detected?.

Fake News Detection After LLM Laundering: Measurement and Explanation Can LLM-Generated Misinformation Be Detected?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.689428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8963af17-4586-4b34-be0f-04c86f749cea · outbound

This paper cites Fake News Detectors are Biased against Texts Generated by Large Language Models.

Fake News Detection After LLM Laundering: Measurement and Explanation Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.693285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491946a5-09f9-4afe-ac8f-58f375015412 · outbound

This paper cites The efficacy of detecting ai- generated fake news using transfer learning.

Fake News Detection After LLM Laundering: Measurement and Explanation The efficacy of detecting ai- generated fake news using transfer learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.608828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f5b7891-df67-47a9-b650-d16f213ecf03 · outbound

This paper cites Disinformation Detection: An Evolving Challenge in the Age of LLMs.

Fake News Detection After LLM Laundering: Measurement and Explanation Disinformation Detection: An Evolving Challenge in the Age of LLMs

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.172481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52912d1c-676f-4bbb-be1c-d1f7be557b3e · outbound

This paper cites Bleu: a method for auto- matic evaluation of machine translation.

Fake News Detection After LLM Laundering: Measurement and Explanation Bleu: a method for auto- matic evaluation of machine translation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.598784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b37b090-be87-4496-83c6-a77bbc4c13c2 · outbound

This paper cites Rouge: A package for auto- matic evaluation of summaries.

Fake News Detection After LLM Laundering: Measurement and Explanation Rouge: A package for auto- matic evaluation of summaries

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.588160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1ff0001-82af-4be5-ab92-62a2dd0c2119 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Fake News Detection After LLM Laundering: Measurement and Explanation BERTScore: Evaluating Text Generation with BERT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.711414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bd624d-07a2-4241-90a2-7fb6a9e27d54 · outbound

This paper cites A study of translation edit rate with targeted hu- man annotation.

Fake News Detection After LLM Laundering: Measurement and Explanation A study of translation edit rate with targeted hu- man annotation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.576746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19bd7c01-700c-4eaa-9f73-4e50437f860d · outbound

This paper cites A survey on evaluation metrics for machine translation.

Fake News Detection After LLM Laundering: Measurement and Explanation A survey on evaluation metrics for machine translation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.565693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 775c714b-9bba-45f7-91df-0205d8f85a6b · outbound

This paper cites Meant 2.0: Accurate semantic mt evaluation for any output language.

Fake News Detection After LLM Laundering: Measurement and Explanation Meant 2.0: Accurate semantic mt evaluation for any output language

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.554271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 220c7ba5-d764-4a45-ac51-c98b66955a49 · outbound

This paper cites Paraphrasing questions using given and new information.

Fake News Detection After LLM Laundering: Measurement and Explanation Paraphrasing questions using given and new information

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.542759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc365db6-d1b4-45d6-9129-d7d3b984e6b7 · outbound

This paper cites Unt: Sub- finder: Combining knowledge sources for au- tomatic lexical substitution.

Fake News Detection After LLM Laundering: Measurement and Explanation Unt: Sub- finder: Combining knowledge sources for au- tomatic lexical substitution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.531817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2797626-08a5-4d8e-a76e-385bc6010fef · outbound

This paper cites Paraphrase Generation with Deep Reinforcement Learning.

Fake News Detection After LLM Laundering: Measurement and Explanation Paraphrase Generation with Deep Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.147016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3259b9b-0799-47d9-81ad-b63de9fad3cb · outbound

This paper cites A deep generative framework for paraphrase generation.

Fake News Detection After LLM Laundering: Measurement and Explanation A deep generative framework for paraphrase generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.521323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c15d5134-d7a1-4484-89da-f633578a5d71 · outbound

This paper cites Unsupervised Paraphrase Generation using Pre-trained Language Models.

Fake News Detection After LLM Laundering: Measurement and Explanation Unsupervised Paraphrase Generation using Pre-trained Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.739973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3bcbb30-3db2-4392-80c7-865886d923a8 · outbound

This paper cites Neural Paraphrase Generation with Stacked Residual LSTM Networks.

Fake News Detection After LLM Laundering: Measurement and Explanation Neural Paraphrase Generation with Stacked Residual LSTM Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.743748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e4ed5b-69e6-4e1c-9f3d-62604afea453 · outbound

This paper cites Deep residual learning for image recognition.

Fake News Detection After LLM Laundering: Measurement and Explanation Deep residual learning for image recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.510848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97bd1dd3-6d79-43bc-acb0-ea06b9d2bfba · outbound

This paper cites Paraphrase generation with latent bag of words.

Fake News Detection After LLM Laundering: Measurement and Explanation Paraphrase generation with latent bag of words

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.500596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 875692cf-0c0b-45af-ba87-c9c2751e39bc · outbound

This paper cites Neural Syntactic Preordering for Controlled Paraphrase Generation.

Fake News Detection After LLM Laundering: Measurement and Explanation Neural Syntactic Preordering for Controlled Paraphrase Generation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.112610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f057b8d-94f8-4c36-8e65-27b819ef2883 · outbound

This paper cites Decomposable Neural Paraphrase Generation.

Fake News Detection After LLM Laundering: Measurement and Explanation Decomposable Neural Paraphrase Generation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.097966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d7ded58-96ce-4f0c-b1bb-40d438c96301 · outbound

This paper cites Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Fake News Detection After LLM Laundering: Measurement and Explanation Generate rather than Retrieve: Large Language Models are Strong Context Generators

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.762922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df5dd7a0-271d-4696-8748-9f6a751b666a · outbound

This paper cites Paraphrasing with Large Language Models.

Fake News Detection After LLM Laundering: Measurement and Explanation Paraphrasing with Large Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.071257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8633e30c-48ce-4122-81be-b856a271b028 · outbound

This paper cites How Large Language Models are Transforming Machine-Paraphrased Plagiarism.

Fake News Detection After LLM Laundering: Measurement and Explanation How Large Language Models are Transforming Machine-Paraphrased Plagiarism

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.055016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f1dd8b1-dddb-4b88-bd95-3c2f10cdca87 · outbound

This paper cites Pag-llm: Paraphrase and aggregate with large language models for minimizing intent clas- sification errors.

Fake News Detection After LLM Laundering: Measurement and Explanation Pag-llm: Paraphrase and aggregate with large language models for minimizing intent clas- sification errors

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.490354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0db5a29b-82ce-4f8e-9700-3b8397c6f31b · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Fake News Detection After LLM Laundering: Measurement and Explanation TinyBERT: Distilling BERT for Natural Language Understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.779140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c035d37f-120b-45e6-a047-ebe431717166 · outbound

This paper cites Investigating paraphrasing-based data augmentation for task- oriented dialogue systems.

Fake News Detection After LLM Laundering: Measurement and Explanation Investigating paraphrasing-based data augmentation for task- oriented dialogue systems

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.479646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ae586ba-3d5f-4ad6-9248-f61213b1f447 · outbound

This paper cites Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation.

Fake News Detection After LLM Laundering: Measurement and Explanation Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.468973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 032ad6e4-0385-44e2-adc5-2e925aa64139 · outbound

This paper cites Improving data augmentation for low resource speech-to-text translation with diverse para- phrasing.

Fake News Detection After LLM Laundering: Measurement and Explanation Improving data augmentation for low resource speech-to-text translation with diverse para- phrasing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.458185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd1eeca0-680b-4d3f-87ed-da8c5840907f · outbound

This paper cites T5w: A paraphras- ing approach to oversampling for imbalanced text classification.

Fake News Detection After LLM Laundering: Measurement and Explanation T5w: A paraphras- ing approach to oversampling for imbalanced text classification

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.447662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74e4b7c2-d698-4ac9-97d3-b6ca5f7fff81 · outbound

This paper cites ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.

Fake News Detection After LLM Laundering: Measurement and Explanation ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.797878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c830ac-f7f7-4057-813c-923992222cf0 · outbound

This paper cites Automatically constructing a corpus of sentential paraphrases.

Fake News Detection After LLM Laundering: Measurement and Explanation Automatically constructing a corpus of sentential paraphrases

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.436612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 029f22a9-ceac-4fb8-b366-4d909cb41ff2 · outbound

This paper cites Ppdb: The paraphrase database.

Fake News Detection After LLM Laundering: Measurement and Explanation Ppdb: The paraphrase database

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.425927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47e3880f-2f60-46eb-833b-c849edc56c24 · outbound

This paper cites ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation.

Fake News Detection After LLM Laundering: Measurement and Explanation ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:04.015722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aeddceb0-ddf1-4b3f-8352-154d3a99692a · outbound

This paper cites Gathering and generating paraphrases from twitter with application to normalization.

Fake News Detection After LLM Laundering: Measurement and Explanation Gathering and generating paraphrases from twitter with application to normalization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.415944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f5b9f89-35d8-4034-a5a4-ff491d155dc3 · outbound

This paper cites Cgmh: Constrained sentence generation by metropolis-hastings sampling.

Fake News Detection After LLM Laundering: Measurement and Explanation Cgmh: Constrained sentence generation by metropolis-hastings sampling

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.405884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9cffe65-87ab-459c-89a7-7977d6e56505 · outbound

This paper cites EUCA: the End-User-Centered Explainable AI Framework.

Fake News Detection After LLM Laundering: Measurement and Explanation EUCA: the End-User-Centered Explainable AI Framework

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.819464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a576beb-6e89-4c48-b231-01b80a86a614 · outbound

This paper cites why should i trust you?.

Fake News Detection After LLM Laundering: Measurement and Explanation why should i trust you?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.395219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65baeea7-1af0-49c9-949b-48593e135c79 · outbound

This paper cites New explainability method for bert- based model in fake news detection.

Fake News Detection After LLM Laundering: Measurement and Explanation New explainability method for bert- based model in fake news detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.385567Z

Source-reported events for the cited work

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Observation b44e953d-8c1a-4a6c-967c-61e53b1a5aac · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Fake News Detection After LLM Laundering: Measurement and Explanation A Unified Approach to Interpreting Model Predictions

Reference 53

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Observation f3108aef-37c4-4b3d-8b33-9048d142e887 · outbound

This paper cites Combat covid-19 infodemic using explainable natural language processing models.

Fake News Detection After LLM Laundering: Measurement and Explanation Combat covid-19 infodemic using explainable natural language processing models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.374737Z

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Observation aa21e311-3f4b-48e8-add9-331a56a51242 · outbound

This paper cites Explainable machine learning for fake news detection.

Fake News Detection After LLM Laundering: Measurement and Explanation Explainable machine learning for fake news detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.363783Z

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Observation 07d36183-10f8-420d-83a0-c82f5c74c32c · outbound

This paper cites Axiomatic attribution for deep networks.

Fake News Detection After LLM Laundering: Measurement and Explanation Axiomatic attribution for deep networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.353367Z

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Observation 216811c8-f8fc-4e2f-8542-76dafdd222fe · outbound

This paper cites Learning important features through propagating activation differences.

Fake News Detection After LLM Laundering: Measurement and Explanation Learning important features through propagating activation differences

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.342575Z

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Observation 28dbfb11-88a7-4c61-b73f-a0988d390e60 · outbound

This paper cites A causal framework for explaining the predictions of black-box sequence-to-sequence models.

Fake News Detection After LLM Laundering: Measurement and Explanation A causal framework for explaining the predictions of black-box sequence-to-sequence models

Reference 58

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This paper cites A song of (dis) agree- ment: Evaluating the evaluation of explainable artificial intelligence in natural language pro- cessing.

Fake News Detection After LLM Laundering: Measurement and Explanation A song of (dis) agree- ment: Evaluating the evaluation of explainable artificial intelligence in natural language pro- cessing

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.332073Z

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Observation bfb0ac97-13d5-476a-bc6b-6e5f7cdf95a6 · outbound

This paper cites Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference.

Fake News Detection After LLM Laundering: Measurement and Explanation Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:03.965943Z

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Observation a59e75d2-60f0-4064-a3af-41f9cb65c191 · outbound

This paper cites Model Explainability in Deep Learning Based Natural Language Processing.

Fake News Detection After LLM Laundering: Measurement and Explanation Model Explainability in Deep Learning Based Natural Language Processing

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:36:03.948443Z

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Observation f5cc7536-e2e8-4b15-9b7e-ac737bb5058c · outbound

This paper cites Fighting an infodemic: Covid-19 fake news dataset, 2020.

Fake News Detection After LLM Laundering: Measurement and Explanation Fighting an infodemic: Covid-19 fake news dataset, 2020

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.320876Z

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Observation c76b9a6f-ed74-4733-ae31-ff03753cfabc · outbound

This paper cites "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.

Fake News Detection After LLM Laundering: Measurement and Explanation "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.866713Z

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Observation f9757858-e68a-4e5e-9821-21e26c1ae416 · outbound

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Fake News Detection After LLM Laundering: Measurement and Explanation NLTK: The Natural Language Toolkit

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:03.870317Z

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Observation dac7b74f-3e44-4aaa-b0f3-8ae9f0ced8f8 · outbound

This paper cites A survey on text classification algorithms: From text to predictions.

Fake News Detection After LLM Laundering: Measurement and Explanation A survey on text classification algorithms: From text to predictions

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.308972Z

Source-reported events for the cited work

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Observation 85b60293-f579-4173-9fba-86554da75530 · outbound

This paper cites Pegasus: Pre-training with ex- tracted gap-sentences for abstractive summa- rization.

Fake News Detection After LLM Laundering: Measurement and Explanation Pegasus: Pre-training with ex- tracted gap-sentences for abstractive summa- rization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.297408Z

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Observation e168d7d7-b850-49df-9584-81d7fe5a0927 · outbound

This paper cites Scikit-learn: Machine learning in python.

Fake News Detection After LLM Laundering: Measurement and Explanation Scikit-learn: Machine learning in python

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.285875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8379f330-7d8b-4947-90ac-58ffee859da0 · outbound

This paper cites flan- t5-base-imdb-text-classification.

Fake News Detection After LLM Laundering: Measurement and Explanation flan- t5-base-imdb-text-classification

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.274624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b27b0df-774b-4a48-9c41-6b19c35feefc · outbound

This paper cites distilbert-base-multilingual- cased-sentiments-student (revision 2e33845), 2023.

Fake News Detection After LLM Laundering: Measurement and Explanation distilbert-base-multilingual- cased-sentiments-student (revision 2e33845), 2023

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:36:04.262680Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 507c47e8-3cc7-4c74-9520-1fce2ec8e101 · inbound

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models cites this paper.

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models Fake News Detection After LLM Laundering: Measurement and Explanation

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:31:58.858096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec3568f2-1c39-4b49-8f3e-488aaa49292e · inbound

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability cites this paper.

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability Fake News Detection After LLM Laundering: Measurement and Explanation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T12:01:22.824663Z

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