Pith. sign in

Paper Citation Record · LEDGER

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1803.01164.

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

pith.paper-citation-record.v1
1803.01164 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 2026-07-22T06:31:00.163083+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T12:35:57.354399Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 f5c1037a-385e-4249-89ba-d0b027de1dc6 · inbound

Fooling a Real Car with Adversarial Traffic Signs cites this paper.

Fooling a Real Car with Adversarial Traffic Signs The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-25T12:36:57.761073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-25T12:35:57.354399Z digest=sha256:d3a076582badb8c7bb71cbd03bba42985e261dc301bbacaa0a4abb6afd3c0581

Observation 22b08453-9a60-4cfc-9b20-7f684a2290a8 · inbound

Modern CNNs for IoT Based Farms cites this paper.

Modern CNNs for IoT Based Farms The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T21:06:22.661081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-24T21:05:57.743099Z digest=sha256:280cdf163919547105c2c34945fbee279e02d356ad58cec979d27b4cec66f63f

Observation 40dfdd6c-e33a-44c3-99d3-f312a700419e · inbound

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness cites this paper.

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T21:15:49.341650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-23T21:14:38.949892Z digest=sha256:1cf37109ba826bba8d05804b6b4b51efa7d52c5346aa6ef66c78d4918dad81a1

Observation 59a67309-66c3-4ce6-bf02-e579cd325dc7 · inbound

On the definition and importance of interpretability in scientific machine learning cites this paper.

On the definition and importance of interpretability in scientific machine learning The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T14:11:38.742534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-22T14:08:37.253192Z digest=sha256:1636ebfc79ec11268d88b2195b7f2d75bbccc302c86523ae5401d48aff943175

Observation e31f7f07-42a7-40cb-8b91-ff80e61b6ada · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

Reference 160

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T19:09:03.306671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-08T19:04:40.817413Z digest=sha256:5c109d469c1692d6d2805887a904ea7579f13c12c490c47829384d0e12204fca