Paper Citation Record · LEDGER

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1707.02968.

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

pith.paper-citation-record.v1
1707.02968 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:30:51.324455Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

304
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 77daae81-609c-41ba-9764-c936fbd6534f · inbound

Health AI Developer Foundations cites this paper.

Health AI Developer Foundations Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:30:51.324455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0927697-5585-49eb-96c4-e4f7f8168728 · inbound

Understanding Transformer-based Vision Models through Inversion cites this paper.

Understanding Transformer-based Vision Models through Inversion Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T19:39:39.207437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7333293-3aae-4b1a-924d-173bf1315798 · inbound

Avoiding spurious sharpness minimization broadens applicability of SAM cites this paper.

Avoiding spurious sharpness minimization broadens applicability of SAM Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T12:21:20.564790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1068930-e497-416e-9b18-6666852262f3 · inbound

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? cites this paper.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:32:02.075560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180a3b86-3611-4b6e-9c3a-3363bec69801 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 264

Resolution: verified exact; local_arxiv, observed 2026-06-28T07:11:45.285236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.