Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1904.01685.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:13:17.780908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:09:37.829190Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation cff6217e-faf4-43c5-9526-be446b333ca0 · inbound
Teaching Models to Express Their Uncertainty in Words Measuring Calibration in Deep Learning
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dd651edf-2bc1-4d16-9013-1ecb8d673365 · inbound
MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages Measuring Calibration in Deep Learning
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a24ca209-c0a2-4db1-bd2c-995337419308 · inbound
Instance-Wise Monotonic Calibration by Constrained Transformation Measuring Calibration in Deep Learning
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b01d28c9-5d7b-4357-9db7-b5ef5a5cc74c · inbound
Pragmatic Policy Development via Interpretable Behavior Cloning Measuring Calibration in Deep Learning
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d27ab26-920c-49f6-9777-af0327ee5d1c · inbound
False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs Measuring Calibration in Deep Learning
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff235d6a-c265-4016-9335-efd5a9d28cb3 · inbound
When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning Measuring Calibration in Deep Learning
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c1d2c13-e21d-4e0b-8cbf-2a72807fabd6 · inbound
PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction Measuring Calibration in Deep Learning
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 977e61ee-c4c8-4e5c-b997-53b28a6d8923 · inbound
Pandora's Regret: A Proper Scoring Rule for Evaluating Sequential Search Measuring Calibration in Deep Learning
Reference 107
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c7337498-82eb-4db9-b384-be3957cb9550 · inbound
ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading Measuring Calibration in Deep Learning
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b26ce17-3375-44a6-927c-2d193ce65f4f · inbound
Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers Measuring Calibration in Deep Learning
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87491678-c4a0-491d-975f-bd46dc199950 · inbound
BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization Measuring Calibration in Deep Learning
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.