Paper Citation Record · LEDGER

Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2112.06409.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2112.06409 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:52:45.070106Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T04:23:52.755620Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94d36e5e-c497-4b3f-bbd6-42bd6dcd3770 · inbound

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:23:52.757527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation afc908dd-cfef-403e-8a61-5063e67c5c35 · inbound

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages cites this paper.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:56:29.695164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5aa2cbc-927e-4fdb-8607-2c3acb473a52 · inbound

A Comparative Analysis of Influence Signals for Data Debugging cites this paper.

A Comparative Analysis of Influence Signals for Data Debugging Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:27.660587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90149649-3754-4a71-b87b-848ceeb4bba9 · inbound

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint cites this paper.

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:52:45.070106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.