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Paper Citation Record · LEDGER

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.03709.

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

pith.paper-citation-record.v1
2608.03709 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:22:27.965954Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ad6a5f-e0cc-4c55-b810-a68737372229 · outbound

This paper cites Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, and Nicholas D.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, and Nicholas D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.692795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dc087fee-ce1c-425b-a8f7-93feaf769c13 · outbound

This paper cites Accelerating neural architecture search using per- formance prediction.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Accelerating neural architecture search using per- formance prediction

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.681391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e94690c9-0baa-47ed-976d-920cbb361924 · outbound

This paper cites Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.667574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c462905a-15f0-4a96-9c68-cbb6577a7b1e · outbound

This paper cites BOHB: Robust and efficient hyperparameter optimization at scale.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry BOHB: Robust and efficient hyperparameter optimization at scale

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.645161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.066180Z digest=sha256:9fe50f739782b6e7086e6ad9eb5862b5bbd617bfb979e171df6dfa8e12fb5799

Observation fe303d96-b584-45d8-8547-89d47eaab76d · outbound

This paper cites an unresolved cited work.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-05T14:22:29.520641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.154769Z digest=sha256:f173787db3010404eb9eebfd9bacd49d24a2082207ba692b5ddea7be4f5d582c

Observation 9100f438-a2be-46d2-9582-cbdb5ed6f5c0 · outbound

This paper cites Deep residual learning for image recognition.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Deep residual learning for image recognition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:27.234853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f2e8137-7b11-426d-8c12-c4e3e4862f91 · outbound

This paper cites Non-stochastic best arm identification and hyperparameter optimization.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Non-stochastic best arm identification and hyperparameter optimization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.255021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.325879Z digest=sha256:83f8ac5a3f6063ae0412ad86c0fde1816e282f456a04ad9d9cce88cd0781fd93

Observation 5f02b1c3-6946-46f6-8860-e521f1efa4fb · outbound

This paper cites Learning curve prediction with bayesian neural networks.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Learning curve prediction with bayesian neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:29.055385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.468573Z digest=sha256:55a180401be9d5b82657f72579cf191726ab1409b4bb948fb65458ef0bcf901c

Observation 82399541-b2ad-4bf0-85a5-e581dd662cd9 · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:22:28.822741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.577940Z digest=sha256:a6220caa70e0e71875cb3d88d77a461626cb95e926638bbb8152364ed832d7ef

Observation 1f81de1d-8ca9-4820-8ab5-13fd6e2c893f · outbound

This paper cites An Empirical Model of Large-Batch Training.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry An Empirical Model of Large-Batch Training

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:27.682151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1dd2829e-61da-4613-b2e7-9ab1ee59cb3b · outbound

This paper cites Predicting Neural Network Accuracy from Weights.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Predicting Neural Network Accuracy from Weights

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:27.774771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37222897-0491-4b53-928d-ea7f1f0daca6 · outbound

This paper cites obviously stable.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry obviously stable

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T14:22:28.529686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T14:22:27.965954Z digest=sha256:e42ce88ae1846acb69ff1fa51f30c4997c6d3e575ecde2e0354a7897c240be75

Pith citing papers

No inbound Pith citation observations are available.