Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:46:08.954211Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.07730.
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 2026-08-04T21:46:08.954211Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Batista, Bruno Martins, and M \' a rio J
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
Reference 16
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
Reference 18
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
Reference 19
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Mac \^ e do, Cleber Zanchettin, and Luciano Barbosa
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Laradji, Parmida Atighehchian, David V \' a zquez, and Dzmitry Bahdanau
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models Unresolved cited work
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