Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.12264.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:33:53.617541Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 8d25aa05-5e67-4586-9c6a-647adce23905 · inbound
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83d9ff01-8294-471e-bfbf-cc7e039f0208 · inbound
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f037a8fc-1ef2-457b-9f6b-07ae18cc217c · inbound
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a4c187e-5c6c-4a98-9c82-14f8146df2af · inbound
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6de94a8c-371d-4461-a0ae-62b752e0bd1e · inbound
Epistemic Uncertainty for Test-Time Discovery Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f6c6c805-4361-4401-ae25-7cad83544b3c · inbound
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 87
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c2a4ce5d-6bd0-40da-aa75-75783ea9988f · inbound
The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fe75ab83-1668-4740-977c-e43369a9c179 · inbound
Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.