Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T23:18:46.515229Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.00320.
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 2026-06-28T23:18:46.515229Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
15 of 15 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 206fc188-f3b9-44ca-a11b-30812365c26f · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Gradient Equilibrium in Online Learning: Theory and Applications
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 550bfa85-16e5-451b-8ee0-c4d94026676d · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Mathematical Finance , author=
Reference 2
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 357e5725-9434-4c79-b4d2-909aa2ba534b · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Conformal Tail Risk Control for Large Language Model Alignment
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 befbeb77-d750-4121-ac50-ebc087b35497 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
Reference 4
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 7deed372-1586-46d9-878f-db1b94bbfb1f · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Reference 5
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 fda3e524-d999-4cdf-8c85-e1cf342ca5e9 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Crafting papers on machine learning
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4d90e30-ad88-4bca-bb04-7621c7a3c5e3 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Policy Learning under Biased Sample Selection
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 7ac39df4-9673-45cc-b3c2-0d1d0ae10fab · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
Reference 8
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 091e5d24-1809-4d71-9e6f-e02840178d56 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Red Teaming Language Models with Language Models
Reference 9
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 31329e1d-b310-4dcc-a061-a86f16d0dce3 · outbound
Reference 10
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 8a95c8ac-4aa5-4b66-b852-b3e3bfd1813e · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Learning from a Biased Sample
Reference 11
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 14bccb56-481c-4983-99dd-5452ddb5a615 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
Reference 12
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 752d57a3-0944-4d33-9d7c-4ff5265bd33a · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Conformalrisktraining: End-to-end optimization of conformal risk control
Reference 13
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 2b32e50b-3edb-4026-b424-e8c4d2a1998f · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Initially, λt remains large, corresponding to less aggressive filtering
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cda2d9c-3ef1-4ae8-9259-7e2fa16ebdb1 · outbound
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Unresolved cited work
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.