Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:45:47.456648Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.11289.
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 2026-08-12T18:45:47.456648Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
49 of 49 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e505cc8e-abb1-461d-a3f9-9e173c33a16a · outbound
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Observation a88e7e4e-3016-4037-b503-f83531d6c160 · outbound
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
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Reference 4
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Observation 4a628319-8cf8-44c8-bd8a-b33e7edf056c · outbound
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 11
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 12
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Reference 13
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Observation a6ae8fc1-d58a-4850-982d-360f3ee55ee6 · outbound
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Data Quality Control in Federated Instruction-tuning of Large Language Models
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models The Llama 3 Herd of Models
Reference 15
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 16
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Reference 17
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Textbooks Are All You Need
Reference 18
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Reference 19
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Observation e7fbd059-4ac2-467e-be30-3a8de261fbfa · outbound
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 20
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models AceGPT, Localizing Large Language Models in Arabic
Reference 21
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 22
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Bag of Tricks for Efficient Text Classification
Reference 23
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 24
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models
Reference 25
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora
Reference 26
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Observation 14047864-7f4e-4151-9a07-5b9d27dae966 · outbound
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 27
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Survey of Large Language Models in Finance (FinLLMs)
Reference 28
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Reference 29
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Reference 30
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Observation 4ccd94f2-71d0-40b4-9a6c-c400eed6ac19 · outbound
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Reference 31
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Datasets for Large Language Models: A Comprehensive Survey
Reference 32
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 34
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 36
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Reference 37
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Reference 38
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 39
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Reference 40
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Reference 41
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models SlimPajama-DC: Understanding Data Combinations for LLM Training
Reference 42
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work
Reference 43
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Reference 44
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models LaVy: Vietnamese Multimodal Large Language Model
Reference 45
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Reference 46
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Reference 47
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Reference 48
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LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Reference 49
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No inbound Pith citation observations are available.