Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:44:06.494957Z
Paper Citation Record · LEDGER
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.17242.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:54:17.476783Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T20:54:17.666376Z
Reference resolution
55 of 55 outbound references displayed
- verified exact0
- verified fuzzy28
- unresolved26
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7fd13e14-85b0-4338-bfa1-ee3ea8991d83 · outbound
This paper cites Llm-detectaive: a tool for fine-grained machine-generated text detection, 2024.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Llm-detectaive: a tool for fine-grained machine-generated text detection, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.654339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2ef2e8fc-c086-4dd2-879d-1fed6a57af44 · outbound
This paper cites Beemo: Benchmark of expert- edited machine-generated outputs, 2025.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Beemo: Benchmark of expert- edited machine-generated outputs, 2025
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.634768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b352bf9d-c1f2-4976-9617-98bfdcc2408f · outbound
This paper cites Identifying Real or Fake Articles: Towards better Lan- guage Modeling.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Identifying Real or Fake Articles: Towards better Lan- guage Modeling
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.612417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5a8d40b7-f93e-483c-981e-ba58e71d88f4 · outbound
This paper cites Fast-detectgpt: Efficient zero- shot detection of machine-generated text via condi- tional probability curvature.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Fast-detectgpt: Efficient zero- shot detection of machine-generated text via condi- tional probability curvature
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.588370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46c01313-dc52-4668-ad99-b0b33fcdff19 · outbound
This paper cites A Closer Look at Few-shot Classification.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing A Closer Look at Few-shot Classification
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c735ee4-bb15-4306-932d-7d42baf8e0d6 · outbound
This paper cites Navigating the risks: A survey of security, privacy, and ethics threats in llm-based agents, 2024.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Navigating the risks: A survey of security, privacy, and ethics threats in llm-based agents, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.554303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e2995f8-c5c6-4eff-8f23-84db4c58333f · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:07.532913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffa0c9f0-a2c3-45aa-b779-9dfef82b794d · outbound
This paper cites The Impact of Large Language Models in Academia: from Writing to Speaking.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing The Impact of Large Language Models in Academia: from Writing to Speaking
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ae8d330-9487-4342-91ce-264f55b33f40 · outbound
This paper cites How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61736edf-74a5-426b-b2c5-cd9616fd42c5 · outbound
This paper cites Spotting LLMs with binoculars: Zero-shot detection of machine-generated text.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Spotting LLMs with binoculars: Zero-shot detection of machine-generated text
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.513661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fe857f12-52b9-481f-bebc-51cc7c8221d0 · outbound
This paper cites MGTBench: Benchmarking Machine-Generated Text Detection.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing MGTBench: Benchmarking Machine-Generated Text Detection
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cab8f642-b230-4822-bcb2-9ab90757fa09 · outbound
This paper cites RADAR: Robust AI-text detection via adversarial learning.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing RADAR: Robust AI-text detection via adversarial learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.493595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffc9774a-7b8e-4638-9cfe-6612cb61ec2a · outbound
This paper cites Automatic Detection of Gen- erated Text is Easiest when Humans are Fooled.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Automatic Detection of Gen- erated Text is Easiest when Humans are Fooled
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.472669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eda9c27f-e473-4427-b8f2-45ca058c8b65 · outbound
This paper cites Learning without for- getting.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Learning without for- getting
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 443e4150-1a91-4944-bffb-4ed05bae6a42 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e945895-7482-4563-a479-3e30ab6e8db7 · outbound
This paper cites Class-incremental learning: survey and performance evaluation on image classification.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Class-incremental learning: survey and performance evaluation on image classification
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dabb3cf5-89e2-432d-a99e-af29aac3ed07 · outbound
This paper cites Large language models: A sur- vey, 2024.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Large language models: A sur- vey, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.416858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e03de575-859e-4063-a8e8-9a2c102b8e10 · outbound
This paper cites https://mistral.ai/.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing https://mistral.ai/
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.396256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a2c7489-f126-4635-8f60-04a153fd0f0e · outbound
This paper cites DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a27cd72a-890c-4a55-a30d-41d5db5f6eee · outbound
This paper cites https://www.moonshot.cn.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing https://www.moonshot.cn
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef254f0f-4ca1-4400-a678-008f027803d5 · outbound
This paper cites https://chat.openai.com/chat.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing https://chat.openai.com/chat
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3b51abf-35c2-4c9f-bb02-8d8cecf75f2e · outbound
This paper cites GPT-4 Technical Report.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing GPT-4 Technical Report
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 344a66f1-44a6-4c3b-bf1d-90f1347449c8 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fbdca242-7e2c-45ce-a25c-9941498e72a3 · outbound
This paper cites Class incremental learning for intent classification with lim- ited or no old data.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Class incremental learning for intent classification with lim- ited or no old data
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.307058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9729e00-cfdb-48ab-9568-3890028fbb20 · outbound
This paper cites Language Mod- els are Unsupervised Multitask Learners.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Language Mod- els are Unsupervised Multitask Learners
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.281269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 75e34917-b7b8-400f-8092-b4090b75cc22 · outbound
This paper cites icarl: Incremental classifier and representation learning.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing icarl: Incremental classifier and representation learning
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.251924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e7b16d66-36bd-4941-9ce2-64cd92e19f9b · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b678ff6-d0a9-43e3-85b7-6f522c61b2b1 · outbound
This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0fc4175-8404-4421-9686-ef018c83cefe · outbound
This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bf73da9-2406-45d6-b7a1-828551c9a1c8 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 30
- Resolution
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- raw_fallback, observed 2026-08-11T05:44:07.227530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9393965f-d99e-4858-b251-b85162223187 · outbound
This paper cites DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee38c9bb-de0a-4b68-989e-f3466a629198 · outbound
This paper cites Learning to compare: Relation network for few-shot learning.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Learning to compare: Relation network for few-shot learning
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91529732-e34b-4ee6-82ff-69aa7ce01b3c · outbound
This paper cites Towards reliable detection of llm-generated texts: A comprehensive evaluation framework with cu- drt, 2024.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Towards reliable detection of llm-generated texts: A comprehensive evaluation framework with cu- drt, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.184638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad69ff71-6247-46e8-b56b-20c90b42b330 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 053fe033-c9c4-4f87-8bb3-b38ca149a021 · outbound
This paper cites Visu- alizing data using t-sne.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Visu- alizing data using t-sne
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9989c03f-5502-4428-a0a9-2f23caf3312b · outbound
This paper cites M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.145604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 703bce94-a999-4f1c-997f-1cecb18dd416 · outbound
This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae806f21-49ed-4961-a7c9-ed4817b02477 · outbound
This paper cites DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f3f9760-e43b-4756-853b-c4cdfb897416 · outbound
This paper cites Large scale incremental learning.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Large scale incremental learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.125418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1541f1bb-1154-483b-a541-7e41c74e7323 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:07.105587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a37950f-5532-4281-8ebd-7ed4368d4f23 · outbound
This paper cites Free Lunch for Few-shot Learning: Distribution Calibration.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Free Lunch for Few-shot Learning: Distribution Calibration
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8765a60c-85cc-41a5-8ddb-01cb9d4d2cdd · outbound
This paper cites Jailbreak attacks and defenses against large language models: A survey,.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Jailbreak attacks and defenses against large language models: A survey,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.086233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8151c59-b11e-4126-9618-bd11c5ed1bf6 · outbound
This paper cites A survey of large language models, 2024.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing A survey of large language models, 2024
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:07.065241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c18ceeb0-4541-4a38-aecd-32feef747dcd · outbound
This paper cites Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Reference 44
- Resolution
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- no resolver link, observed 2026-08-11T05:44:06.417154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d32370b8-84d5-499c-85d5-763220254f36 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:06.963980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a06c18db-8535-4f60-b4bc-043632cfd417 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:07.045787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9fb32f80-a298-4019-ae48-58edd13ebb99 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:07.026825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cbc09a51-1c02-494b-856f-ebffc1855261 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:07.002310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9bc222b2-dcdb-46fc-a8a9-5cd646a212a3 · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:06.984443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ec2ca506-6309-4d32-ad38-a1a02ba2d19a · outbound
This paper cites an unresolved cited work.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:44:06.945357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5a20360e-48eb-470b-b4fc-df278ea23ab2 · outbound
This paper cites Avoid jargon and complex language that may confuse the reader.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Avoid jargon and complex language that may confuse the reader
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:06.924817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7efb7f4c-d5ca-4423-81e3-7480b5c78ca3 · outbound
This paper cites Do not deviate from the main subject.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Do not deviate from the main subject
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:06.905426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55da2979-512b-4309-8892-67f183bd7355 · outbound
This paper cites This includes statistics, facts, and theories.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing This includes statistics, facts, and theories
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:06.888073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3d4922bb-246c-4ed5-97dd-f72f6ba62492 · outbound
This paper cites ISBN,” “PMID,.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing ISBN,” “PMID,
Reference 58
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T05:44:06.871122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47a668da-badf-4619-b6df-3bfe421d6765 · outbound
This paper cites Specifically, since a small amount of old data is introduced in the training process of iCaRL and BiC, we adopt weighted cross entropy to avoid the side effects of data imbalance.
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing Specifically, since a small amount of old data is introduced in the training process of iCaRL and BiC, we adopt weighted cross entropy to avoid the side effects of data imbalance
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:44:06.854017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation a4114ecb-ad60-4cce-97ea-fe5133b29a55 · inbound
Human-LLM Coevolution: Evidence from Academic Writing cites this paper.
Human-LLM Coevolution: Evidence from Academic Writing On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T20:54:17.673940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.