Paper Citation Record · LEDGER

Can Training Logs Make Model Comparisons More Precise?

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.02705.

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

pith.paper-citation-record.v1
2608.02705 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:08:17.564427Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy11
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7314d72-5e40-4e91-bc9c-4511d3a6446b · outbound

This paper cites Accounting for variance in machine learning benchmarks.

Can Training Logs Make Model Comparisons More Precise? Accounting for variance in machine learning benchmarks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.815167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 431c4d2d-9279-40d6-9b90-76e1c51cf924 · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Can Training Logs Make Model Comparisons More Precise? Double/debiased machine learning for treatment and structural parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.374214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3631de9-aa5b-4b24-ae9e-201c2c5e0a9e · outbound

This paper cites The Benchmark Lottery.

Can Training Logs Make Model Comparisons More Precise? The Benchmark Lottery

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.483421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262e8b11-7353-48ea-a99d-bac4e43fa416 · outbound

This paper cites Improving the sensitivity of online controlled experiments by utilizing pre-experiment data.

Can Training Logs Make Model Comparisons More Precise? Improving the sensitivity of online controlled experiments by utilizing pre-experiment data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.796749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4e97a7e-b0fe-44af-9d9e-2dfd72fd626e · outbound

This paper cites Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.

Can Training Logs Make Model Comparisons More Precise? Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.493758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5b5d49-38af-40cf-83ad-1c6163e6c0c9 · outbound

This paper cites T., and Hutter, F.

Can Training Logs Make Model Comparisons More Precise? T., and Hutter, F

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.785478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c7d61f0-1950-4f19-939e-10999a7412ae · outbound

This paper cites an unresolved cited work.

Can Training Logs Make Model Comparisons More Precise? Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:08:17.772904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d4f0bb0-7ae8-4578-932f-88c87d52e37a · outbound

This paper cites B., Stern, H.

Can Training Logs Make Model Comparisons More Precise? B., Stern, H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.761384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26682572-b5a5-4782-a14f-6d0cba72a9cd · outbound

This paper cites Deep residual learning for image recognition.

Can Training Logs Make Model Comparisons More Precise? Deep residual learning for image recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.511988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f509845-47a0-4a56-a6a9-8ea977350fd5 · outbound

This paper cites Deep reinforcement learning that matters.

Can Training Logs Make Model Comparisons More Precise? Deep reinforcement learning that matters

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.742262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91f1b06c-cdec-42e6-8309-8584ebaee754 · outbound

This paper cites Always valid inference: Continuous monitoring of a/b tests.

Can Training Logs Make Model Comparisons More Precise? Always valid inference: Continuous monitoring of a/b tests

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.730466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation abf17315-e7db-4620-88b7-e96e5bd96c37 · outbound

This paper cites Learning multiple layers of features from tiny images.

Can Training Logs Make Model Comparisons More Precise? Learning multiple layers of features from tiny images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.523342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30cc85a8-f350-4513-a53e-ae2bd9e97c25 · outbound

This paper cites and Yang, X.

Can Training Logs Make Model Comparisons More Precise? and Yang, X

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.527875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20933144-8ae6-4d2a-abb3-200c6ee6f3e4 · outbound

This paper cites Agnostic notes on regression adjustments to experimental data: R eexamining F reedman's critique.

Can Training Logs Make Model Comparisons More Precise? Agnostic notes on regression adjustments to experimental data: R eexamining F reedman's critique

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.705023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e5a29dd-483c-4efb-86da-5742944c338a · outbound

This paper cites A ConvNet for the 2020s.

Can Training Logs Make Model Comparisons More Precise? A ConvNet for the 2020s

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.536101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387ffecd-2484-4831-8840-4c03b3315c20 · outbound

This paper cites Are GAN s created equal? A large-scale study.

Can Training Logs Make Model Comparisons More Precise? Are GAN s created equal? A large-scale study

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.686326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f299f6c0-0317-478f-b460-bd4f163b195d · outbound

This paper cites an unresolved cited work.

Can Training Logs Make Model Comparisons More Precise? Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:08:17.674499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3729fe4c-43b0-49b3-bb3f-79672664f8a0 · outbound

This paper cites Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision.

Can Training Logs Make Model Comparisons More Precise? Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:08:17.548073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678f1b4e-d25c-4b0e-a90d-15b89d8c13de · outbound

This paper cites Boosted decision tree regression adjustment for variance reduction in online controlled experiments.

Can Training Logs Make Model Comparisons More Precise? Boosted decision tree regression adjustment for variance reduction in online controlled experiments

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.662742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82797e3d-1705-4640-b03d-a8e5d29058ce · outbound

This paper cites an unresolved cited work.

Can Training Logs Make Model Comparisons More Precise? Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:08:17.651118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ff24d29-afbe-4ddf-90fd-ce5f7d640b21 · outbound

This paper cites R., Eisenstein, J., Das, D., and Pavlick, E.

Can Training Logs Make Model Comparisons More Precise? R., Eisenstein, J., Das, D., and Pavlick, E

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.638212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c739aec-c1be-4e48-81a0-a5442d2d5912 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Can Training Logs Make Model Comparisons More Precise? Training data-efficient image transformers & distillation through attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:08:17.626204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.