Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:05.436235Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.13942.
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 2026-08-11T12:42:05.436235Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI online" 'onlinestring :=
Reference 1
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Observation 5b38205a-a6b9-4ba0-8029-50f423c409d6 · outbound
Reference 2
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Reference 3
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Reference 5
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Bowman, Gabor Angeli, Christopher Potts, and Christopher D
Reference 6
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Reference 9
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Reference 10
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Reference 12
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Questioning the Survey Responses of Large Language Models
Reference 13
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Observation 3eb7caea-48e2-4e05-ba8d-df6eadbd35d0 · outbound
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI The Llama 3 Herd of Models
Reference 14
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Reference 15
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Reference 16
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Observation ac94aaf9-145b-4f51-adb5-96de15225821 · outbound
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI How well can a large language model explain business processes as perceived by users?
Reference 17
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Reference 18
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Reference 19
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 20
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Reference 21
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Reference 22
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Reference 23
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Reference 25
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 27
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Reference 28
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Observation 319bd820-d2ab-44ce-af6f-cce5e4b119cb · outbound
Reference 29
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 30
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Observation 8f875ab7-65ea-4440-9720-2ef43f47979d · outbound
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 31
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Observation ead826cb-b691-4b27-b7c3-9db7653ffaba · outbound
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Reference 32
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Reference 34
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 35
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 36
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Reference 37
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Reference 38
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Reference 40
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Reference 41
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 42
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 43
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 44
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 45
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Reference 46
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Reference 47
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 48
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Reference 49
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A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 50
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Reference 51
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Reference 52
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Observation 52d6fdb9-c6c6-4d05-abd8-1184356cd1a6 · outbound
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Reference 53
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Reference 54
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Reference 55
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Reference 56
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Reference 57
Source-reported events for the cited work
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Observation ab39ddbd-3d04-4c90-a042-e200f071c1cd · outbound
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI Unresolved cited work
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.