Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:34.923297Z
Paper Citation Record · LEDGER
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models
As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.14964.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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
Reference resolution
10 of 10 outbound references displayed
- verified exact1
- verified fuzzy5
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d60f03ae-04af-4249-90f1-2c87769105cb · outbound
This paper cites Unbiggen AI.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Unbiggen AI
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:29:36.606901Z
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 d0b727a9-2831-4615-9416-ded49d93a0a7 · outbound
This paper cites ML Models on a Data Diet.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models ML Models on a Data Diet
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:29:36.409088Z
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 7736a094-a454-47ac-8558-7b6832e8de38 · outbound
This paper cites Data Cascades in High-Stakes AI.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Data Cascades in High-Stakes AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:34.270279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8dc7303-8e0a-42a3-86ea-d83e2be07cfd · outbound
This paper cites Target-Aware Active Learning (TAAL).
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Target-Aware Active Learning (TAAL)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:29:36.214065Z
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 70645adf-9619-4a0f-ba06-28ac24df18ea · outbound
This paper cites Annotation-Free Object Detection by Knowledge-Extraction from Visual-Language Models.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Annotation-Free Object Detection by Knowledge-Extraction from Visual-Language Models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:29:36.039896Z
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 d5ba82c1-56f1-4747-97a6-4b9f16423c79 · outbound
This paper cites F2SOD: A Federated Few-Shot Object Detection.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models F2SOD: A Federated Few-Shot Object Detection
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-07T15:29:35.126848Z
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 bf68a1b8-0251-4ad2-876a-dcfdb4e37497 · outbound
This paper cites Human-Machine Collaboration on Image Annotation.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Human-Machine Collaboration on Image Annotation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:29:35.848086Z
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 e47e4211-58e7-4eb7-9627-ca2db12c962a · outbound
This paper cites A Survey of Image Labelling for Computer Vision Applications.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models A Survey of Image Labelling for Computer Vision Applications
Reference 8
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T15:29:35.385227Z
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 6564c559-b69d-4101-bf50-bc41bfde0b53 · outbound
This paper cites Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:34.923297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5f4a182-6ade-4255-8d81-8aa3b5496901 · outbound
This paper cites an unresolved cited work.
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models Unresolved cited work
Reference 2021
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T15:29:35.597354Z
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.
Pith citing papers
No inbound Pith citation observations are available.