Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:38:25.989717Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.02446.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:38:25.989717Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c297768b-38b9-45bc-b22e-53ea71c87308 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Social media use for health purposes: Systematic review,
Reference 1
Source-reported events for the cited work
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Observation 7b2c222f-d112-4259-be2c-25dab01a6ac3 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Mining social media data for biomedical signals and health-related behavior,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c3b026e-5f5a-4795-9be7-d7229b247863 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Overview of the Sixth Social Media Mining for Health Applications (SMM4H) Shared Tasks at NAACL 2021,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e04a6d7-cd7a-4f2b-8125-7f8b2b68587b · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Evaluating large language models for health-related text classification tasks with public social media data,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5d3a8206-b74d-4bea-81eb-0fd0539ac69d · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Text classification algorithms: A survey,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6df017e2-db67-412a-a378-bb174a529cac · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Repeata- bility of fine-tuning large language models illustrated using QLORA,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dc8f3c6-3fe5-413b-a20e-f17fca8a4ae1 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Multi-label classification with generative large language models,
Reference 7
Source-reported events for the cited work
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Observation dd1a351a-216e-42c4-9fa0-7ea3bdfdb926 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction A fine- tuned BERT-based transfer learning approach for text classification,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6fd02b5a-3267-4c7d-9942-7f2c803788f5 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Nikolov-Radivchev at SemEval-2019 Task 6: Offensive tweet classification with BERT and ensembles,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 520ccd69-c71f-4dd9-9c18-83e43d1a9807 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction FBK @ SMM4H 2020: RoBERTa for detecting medications on Twitter,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5fede17c-c210-41b8-a77c-68d35511e98d · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Analyzing ELMo and DistilBERT on socio-political news classification,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad1a2b7f-5a83-45ef-a997-45bb81dbe345 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction TorontoCL at CMCL 2021 shared task: RoBERTa with multi-stage fine-tuning for eye-tracking prediction,
Reference 12
Source-reported events for the cited work
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Observation dff9c861-9196-4cec-bd16-5134fd622b33 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction ZYJ123@DravidianLangTech-EACL2021: Offen- sive language identification based on XLM-RoBERTa with DPCNN,
Reference 13
Source-reported events for the cited work
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Observation ae53873c-055b-4d9f-9186-6c5235be4023 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction YNU @ Dravidian-CodeMix-FIRE2020: XLM- RoBERTa for multi-language sentiment analysis,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 50e99f07-7c89-42db-9556-8e6b93b84ce3 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction ASEM: Enhancing empathy in chatbot through attention-based sentiment and emotion modeling,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8262259-ac32-441b-a066-01ecf71f509c · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Ensemble of ELECTRA for profiling fake news spreaders,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba23388c-fa40-4858-bb9e-14d6907b1df7 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction BART-TL: Weakly-supervised topic label generation,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 63772bba-1d15-4032-8cac-f6991c48d370 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Using BERT and BART for query suggestion,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d4d9546-eb93-4d65-9ace-a27839ceaa2e · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction BART for knowledge grounded conversations,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25304f1e-7a58-4167-8c50-0fa5e0b04351 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction LMRPA: Large language model-driven efficient robotic process automation for OCR,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0b4fc39-5884-42e9-90cd-1727a38abb3f · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction LLM-SEM: A sentiment- based student engagement metric using LLMs for e-learning platforms,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 76c7f6c7-ca1a-48a7-8721-dbced2a75df5 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction A Multi-Layered Large Language Model Framework for Disease Prediction
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b338982-00ca-4fb3-af7e-9489096ab239 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction BERT: Pre-training of deep bidirectional transformers for language understanding,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64292aa6-b2e0-4510-a1b3-db185c32cb97 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Contextual se- mantic embeddings based on transformer models for Arabic biomedical questions classification,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24789b13-d701-4143-b8c8-9315027fab08 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction StEduCov: An explored and benchmarked dataset on stance detection in tweets towards online education during COVID-19 pandemic,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b35c874c-c807-4e9a-9fb4-43c57063d090 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction CLASEG: Advanced multi- classification and segmentation for differential diagnosis of oral lesions using deep learning,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19115bc0-23a0-4c60-bbab-c76bc7f76633 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction Arabic large language models for medical text generation,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47864491-fce3-42b7-9480-b4cd7de37b27 · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction GloVe: Global vectors for word representation,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f69cb11b-17e9-4abd-aadf-007e179b02ee · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction AraBERT: Transformer-based model for Arabic language understanding,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc907de7-9b62-4d02-b3eb-7f8af990cf9d · outbound
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction EDA: Easy data augmentation techniques for boosting performance on text classification tasks,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
No inbound Pith citation observations are available.