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Paper Citation Record · LEDGER

The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models

As of 8 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.

pith.paper-citation-record.v1
2505.14964 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:34.923297Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.111638Z digest=sha256:13a6bbc1cce3e46e36e49a28dff2d1abcb6882ef6eeee223b7f11cd4d871cec3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.204515Z digest=sha256:941221140f5f0e0ff18f839b65cd375d59fa41bd2ba08e36cc7f25b796228263

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.

source=pdf_text observed=2026-08-07T15:29:34.270279Z digest=sha256:3a6ca4ae9151e048bb28882fbe93167a3d32f56ea814c3f0294b5cf5e85186cc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.352171Z digest=sha256:899a10030b5b291b561f0c7188afa1459c5a31ed4c2de1facd2084cedc2981c8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.429908Z digest=sha256:5cdf13914f56becb4a6152db038655c4a821212c02167bc57e78228f8497aa02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.561353Z digest=sha256:20a5a5b7af6f20936b5019fa7ebad5056b3832f7e627f7b75724a21c09be8a20

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.632178Z digest=sha256:aef85191e9f40b49d2f2de6b20123b195ca1179be7a4357ef5018b041b2dce0e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.820823Z digest=sha256:4b175ee326c12c2b8cbb5a2dbe1a495384553ce5d39cb0703ccf29e7300066cd

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.

source=pdf_text observed=2026-08-07T15:29:34.923297Z digest=sha256:e79b3f503ae3cb104d3983d28945a6a36911345933cd2ce4560ff315464029c4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:29:34.743551Z digest=sha256:f8964eb5df885c730afa0ccf576cd0a846859c05ef08696c77a9f1eabe929a12

Pith citing papers

No inbound Pith citation observations are available.