Paper Citation Record · LEDGER

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.12764.

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

pith.paper-citation-record.v1
2411.12764 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:58:01.113531Z

measured 49 of 49 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact1
verified fuzzy22
unresolved26
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57d74e6b-0558-44e2-9f24-ec96ae88e05a · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 1

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Source-reported events for the cited work

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Observation c61b263f-f84f-4015-b6fd-8d7573ed2f27 · outbound

This paper cites Interpretability study for long interview transcripts from behavior intervention sessions for family caregivers of dementia patients,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Interpretability study for long interview transcripts from behavior intervention sessions for family caregivers of dementia patients,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.590097Z

Source-reported events for the cited work

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Observation d3ccdb62-fec7-4239-b201-b5416ad33a6a · outbound

This paper cites Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.961821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993a84e3-fa1a-4d24-a957-88448e5ce3ae · outbound

This paper cites Learning with interpretable structure from gated rnn,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Learning with interpretable structure from gated rnn,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.581806Z

Source-reported events for the cited work

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Observation 2ca52ad7-ced7-4872-a383-87b5bc6a3979 · outbound

This paper cites Learning with feature evolvable streams,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Learning with feature evolvable streams,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.573906Z

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 f550b1ee-44d1-49f4-bb47-a35c466d13d6 · outbound

This paper cites Interpretable deep clustering survival machines for alzheimer’s disease subtype discovery,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Interpretable deep clustering survival machines for alzheimer’s disease subtype discovery,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.566129Z

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 de734a89-4c6f-4d83-88d5-8d25203d6387 · outbound

This paper cites A Watermark for Large Language Models.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text A Watermark for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.975172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ba6212-827c-400e-a213-801163af393e · outbound

This paper cites Adversarial watermarking transformer: Towards tracing text provenance with data hiding,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Adversarial watermarking transformer: Towards tracing text provenance with data hiding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.558202Z

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 933ce8ed-feb6-4487-88ac-251c6e5d5557 · outbound

This paper cites The Ethical Need for Watermarks in Machine-Generated Language.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text The Ethical Need for Watermarks in Machine-Generated Language

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.982490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5426449-a18a-4f26-9d57-e0f4f178a184 · outbound

This paper cites EAGLE: A Domain Generalization Framework for AI-generated Text Detection.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text EAGLE: A Domain Generalization Framework for AI-generated Text Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.985573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4469fa95-fbfb-4464-aca5-c238f20aa021 · outbound

This paper cites The enemy in your own camp: How well can we detect statistically-generated fake reviews–an adversarial study,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text The enemy in your own camp: How well can we detect statistically-generated fake reviews–an adversarial study,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.550081Z

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 22b7de0e-38f4-4d9d-aebc-e4199d0e7ce8 · outbound

This paper cites Defending against neural fake news,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Defending against neural fake news,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.541508Z

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 42e5423f-54d8-4228-a1ca-5862f6967083 · outbound

This paper cites Real or Fake? Learning to Discriminate Machine from Human Generated Text.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Real or Fake? Learning to Discriminate Machine from Human Generated Text

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.996040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8875d78-2566-4bfb-834a-29e47643f3a8 · outbound

This paper cites Automatic Detection of Generated Text is Easiest when Humans are Fooled.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Automatic Detection of Generated Text is Easiest when Humans are Fooled

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:00.999792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad06b7af-e8b8-4b6b-8379-97a3c2818d0a · outbound

This paper cites New ai classifier for indicating ai-written text,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text New ai classifier for indicating ai-written text,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.533172Z

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 9b4a56fe-a088-4a0e-8501-d447ddaa0482 · outbound

This paper cites DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.006734Z

Source-reported events for the cited work

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Observation 1e9075d6-b5d0-4c0e-8536-6eeb9c27bc5d · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text GLTR: Statistical Detection and Visualization of Generated Text

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.010219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba03031-ac58-4649-af92-16affc7f92bf · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Release Strategies and the Social Impacts of Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.013642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09009fc-95f7-4d66-a485-b6024f1830a8 · outbound

This paper cites In- trinsic dimension estimation for robust detection of ai-generated texts,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text In- trinsic dimension estimation for robust detection of ai-generated texts,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.525152Z

Source-reported events for the cited work

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Observation 4d0891de-71cf-4430-b879-2b421d9c64d7 · outbound

This paper cites DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.020092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a935e66b-870f-4fbd-9c19-17f3dce7569d · outbound

This paper cites Raidar: geneRative AI Detection viA Rewriting.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Raidar: geneRative AI Detection viA Rewriting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.023275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67a76dd0-ec50-436a-a2c0-e97ba387d070 · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Can AI-Generated Text be Reliably Detected?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.026685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b413789-985e-43bb-abac-04524620061e · outbound

This paper cites Gptzero: An ai text detector,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Gptzero: An ai text detector,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.516827Z

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 e8e89a36-f972-4ea6-831f-cb9b854e47ed · outbound

This paper cites Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a468ab-09d6-424b-8a7b-3759998cdd64 · outbound

This paper cites Provable Robust Watermarking for AI-Generated Text.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Provable Robust Watermarking for AI-Generated Text

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.035944Z

Source-reported events for the cited work

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Observation fcdf0732-11c3-40d4-98ca-c8b48ad23a4a · outbound

This paper cites REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models

Reference 26

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Source-reported events for the cited work

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Observation 57773798-867a-4a99-95f5-b8100bd1c81e · outbound

This paper cites Cater: Intellectual property protection on text generation apis via conditional watermarks,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Cater: Intellectual property protection on text generation apis via conditional watermarks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.508504Z

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 ef6a720b-1d66-4e33-b247-2caa5222bf4b · outbound

This paper cites Protecting intellectual prop- erty of language generation apis with lexical watermark,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Protecting intellectual prop- erty of language generation apis with lexical watermark,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.499542Z

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 a34fd9a1-b68f-4630-8212-1ca2de381925 · outbound

This paper cites Robust multi-bit natural language watermarking through invariant features,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Robust multi-bit natural language watermarking through invariant features,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.490783Z

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 2f95673e-e439-4315-b551-9fe63290f06e · outbound

This paper cites DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:01.051737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6fba70-5fe6-49f0-b1ad-b3f1ce97ce22 · outbound

This paper cites Watermarking Text Generated by Black-Box Language Models.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Watermarking Text Generated by Black-Box Language Models

Reference 31

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Observation 043d0ee7-8985-4bf6-bfbe-512349575218 · outbound

This paper cites Watermarking of large language models,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Watermarking of large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.482346Z

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Observation aa816f4d-ac03-4838-928e-27c47cfd35a6 · outbound

This paper cites Generating Steganographic Text with LSTMs.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Generating Steganographic Text with LSTMs

Reference 33

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Observation 63b32b1c-9317-4ddf-81f0-6fa02e74ace6 · outbound

This paper cites Detecting fake content with relative entropy scoring.,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Detecting fake content with relative entropy scoring.,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.473698Z

Source-reported events for the cited work

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Observation b913ca9b-3ca8-4765-b215-50a1ab06c170 · outbound

This paper cites Computer-generated text detection using machine learn- ing: A systematic review,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Computer-generated text detection using machine learn- ing: A systematic review,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.465151Z

Source-reported events for the cited work

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Observation 8312fc89-4ea2-4d00-8d45-b3d2ca900a93 · outbound

This paper cites Language models are unsupervised multitask learners,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Language models are unsupervised multitask learners,

Reference 36

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Observation f77693f8-a301-4d40-ad45-8458544c510c · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 37

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Observation 109d52a3-cda4-40f6-98f5-f1f1488549ca · outbound

This paper cites Paraphrastic Representations at Scale.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Paraphrastic Representations at Scale

Reference 38

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Source-reported events for the cited work

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This paper cites Sentence Similarity Learning by Lexical Decomposition and Composition.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Sentence Similarity Learning by Lexical Decomposition and Composition

Reference 39

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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 19d6f0e6-570c-43c8-80ca-b3cb2e6eeee6 · outbound

This paper cites Hcti at semeval-2017 task 1: Use convolutional neural network to evaluate semantic textual similarity,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Hcti at semeval-2017 task 1: Use convolutional neural network to evaluate semantic textual similarity,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.447362Z

Source-reported events for the cited work

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Observation cfb7e071-83fe-49d7-af35-a57915419342 · outbound

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SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Sentence modeling via multiple word embeddings and multi-level comparison for semantic textual similarity,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.438474Z

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This paper cites OPT: Open Pre-trained Transformer Language Models.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text OPT: Open Pre-trained Transformer Language Models

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SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Language mod- els are few-shot learners,

Reference 43

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Observation a9295e04-cfab-4c80-879e-ef253adbccf9 · outbound

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SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Gpt-4o mini: advancing cost-efficient intelligence,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.425111Z

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Observation f7dc416f-aeca-4d79-a061-35004c5b87e5 · outbound

This paper cites Billion-scale similarity search with gpus,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Billion-scale similarity search with gpus,

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Source-reported events for the cited work

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Observation c5855ef0-646b-4776-b07e-ca21bf936f93 · outbound

This paper cites Training language models to follow instructions with human feedback,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Training language models to follow instructions with human feedback,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.411611Z

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Observation d9df3e00-04b6-467a-a00d-4515f19d6768 · outbound

This paper cites Maximum likelihood estimation of intrinsic dimension,.

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Maximum likelihood estimation of intrinsic dimension,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.403072Z

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

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 48

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Source-reported events for the cited work

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Observation c7f873c3-cb45-47b1-9682-f220e5c40d6e · outbound

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SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text Gpt detectors are biased against non-native english writers,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:01.394364Z

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.

Pith citing papers

No inbound Pith citation observations are available.