Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:31.122935Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 246 outbound references and 5 inbound Pith citation observations for arXiv:2506.11111.
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 2026-08-07T05:42:31.122935Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T13:08:40.877370Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:48:02.419547Z
100 of 246 outbound references displayed
External citation measurements
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions Unresolved cited work
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Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
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