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Paper Citation Record · LEDGER

Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1608.06037.

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

pith.paper-citation-record.v1
1608.06037 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:36:29.658545Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:11:25.237949Z

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 860a4f32-414a-4fef-93d6-5f9b3bc3c7ce · inbound

Mish: A Self Regularized Non-Monotonic Activation Function cites this paper.

Mish: A Self Regularized Non-Monotonic Activation Function Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T11:36:29.658545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:36:29.658545Z digest=sha256:5df4cca77e2c39ba0e41ad015e6d6d9d16dd1798587f356a79635d503b09e087

Observation bde3c701-6ef4-428b-9dff-7f64f2f65c9c · inbound

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera cites this paper.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T11:15:33.574823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:15:33.574823Z digest=sha256:3b1696ee0dc3388e2bd6c19c911db63ab338377283f3f09b7c4611a83fcf0026

Observation 34ff6c07-785d-4b03-915f-bfd86a45b1a3 · inbound

Improved Background Estimation for Gas Plume Identification in Hyperspectral Images cites this paper.

Improved Background Estimation for Gas Plume Identification in Hyperspectral Images Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:25:42.864544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:25:42.864544Z digest=sha256:22eac4ac6239bac003407fd4deeaa62fa96a942db9d007d8749a9ca1c2614666

Observation 24f6d80e-579a-4b50-9967-3220ecd22cca · inbound

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators cites this paper.

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T19:37:18.274823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:37:18.274823Z digest=sha256:a0a03dfad0242ecf751b5829b628abd11e5062e62f43c2a69ac7ddfb80b3c7e4

Observation eb6f297c-b343-4ca0-94a5-3f0c57eea97a · inbound

Solving MNIST with a globally trained Mixture of Quantum Experts cites this paper.

Solving MNIST with a globally trained Mixture of Quantum Experts Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:30.352557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:30.352557Z digest=sha256:ac78f72099e14e1b71d774871b46ccc22ef16b8ad1a3ba8e229cf34251ccadf6

Observation 72af86aa-8b8d-480f-81cf-6f41ba6617f1 · inbound

Deep-testing: the case of dependence detection cites this paper.

Deep-testing: the case of dependence detection Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:25.242192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T12:45:00.912774Z digest=sha256:5e7e4ea03d144ff39a26206ee21e14711816c80a88f9c286a3da1c52f26d83dd