Pith. sign in

Paper Citation Record · LEDGER

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks

As of 24 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1909.02563.

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

pith.paper-citation-record.v1
1909.02563 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:56:07.492326Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f531de67-fdb0-42b4-8d11-71bdf5b7a0bc · outbound

This paper cites Software 2.0,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Software 2.0,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.831375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.396797Z digest=sha256:89191e24cb407c89c3b9081c60dce52be8cf2b76bf6de9fd134ab9862084e3cf

Observation ffd63969-a930-4983-836a-9b5bf186c3bd · outbound

This paper cites Quantized neural networks: Training neural networks with low pre- cision weights and activations,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Quantized neural networks: Training neural networks with low pre- cision weights and activations,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.814967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.402815Z digest=sha256:b898b52b720f5b480bae2b9a2f42688798897cce118e93b91b8a22afb93b4962

Observation ba206179-b1ae-4c89-96a9-68d824734a13 · outbound

This paper cites V ariant of lenet,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks V ariant of lenet,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.797479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.408527Z digest=sha256:d55bb4dc74f3b0e6bd0275d709b87d41d09e48e32413fcd043ec4d08faff99a3

Observation 5c5e4706-0769-42d6-b832-81d039126d65 · outbound

This paper cites Cifar10,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Cifar10,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.781503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.413761Z digest=sha256:5fc42959d97ceb6ba4ffad8def493b531c532e3e3a01caddc914e56249dd91c8

Observation 12ccce2e-3d77-43e8-80c3-6181e47e671a · outbound

This paper cites TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:07.419122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:56:07.419122Z digest=sha256:0f952c1ff26eaf05975384966d724da7c8f93aa420c4c21271b6fce8492a9a3e

Observation a334ad32-8308-45f4-8a07-b85912f0b09d · outbound

This paper cites Metamorphic testi ng: a new approach for generating next test cases,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Metamorphic testi ng: a new approach for generating next test cases,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.764392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.424426Z digest=sha256:470862bf8fb1d422a07b7e0b5c6ca08256afdd28382685bd402991e2c11bcde0

Observation a68042e4-7574-417c-95f9-87443c36f146 · outbound

This paper cites Deep learning for computer vision: A brief review,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Deep learning for computer vision: A brief review,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.747798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.430146Z digest=sha256:c50cd403f859290f5e72c2594f6c525fec107a823bc0accf2f1e4c0b0a4a2b35

Observation 739a43d8-1225-453b-9348-31e510a051b1 · outbound

This paper cites I mage quality assessment: from error visibility to structural si milarity,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks I mage quality assessment: from error visibility to structural si milarity,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.730866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.435164Z digest=sha256:afe866e582577b4e79fca5e8346f116e39190d80d5857a126e35ad386e944938

Observation add4b262-b9fa-4719-b6e6-396aa80a1966 · outbound

This paper cites Deepxplore: Automat ed whitebox testing of deep learning systems,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Deepxplore: Automat ed whitebox testing of deep learning systems,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.713960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.440250Z digest=sha256:5f1003dd0c8853b0fe473268714c09826a7ba18e2ee590efa20d85afabf6b38b

Observation 79cd8d8a-b76d-4a7b-a087-a2cd7d55f093 · outbound

This paper cites A new optimizer using parti cle swarm theory,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks A new optimizer using parti cle swarm theory,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.696971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.445177Z digest=sha256:f02e9a117b58245ba6876c47c5f5979d98ea83d296b9113ecbddd9b35eb82315

Observation ee48ddbd-9b07-49d5-8190-754310401df9 · outbound

This paper cites A new metaheuristic bat-inspired algorit hm,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks A new metaheuristic bat-inspired algorit hm,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.678692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.450131Z digest=sha256:21c536ad1e79e54b402edebac0107686d247a3c2a638e3bccadd569b0d8c33b4

Observation 6b76d0c8-cded-40de-8f08-361b5304c2b5 · outbound

This paper cites Grey wolf o ptimizer,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Grey wolf o ptimizer,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.661604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.455303Z digest=sha256:032790edf123316e574ff2a8fba5b189671419adeef2aaeed40cd608f791d22e

Observation 8c0f4f59-f54e-47b2-b095-adf964ce8d04 · outbound

This paper cites Moth-flame optimization algorithm: A no vel nature- inspired heuristic paradigm,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Moth-flame optimization algorithm: A no vel nature- inspired heuristic paradigm,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.646129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.461304Z digest=sha256:c8dd0042f12622c5df476b19a61b6e7fb6ee1c6448886e6e898d273fad2ff293

Observation e5c17dee-2ee2-4e1b-a6cd-c6c33ac9396d · outbound

This paper cites The whale optimization algo rithm,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks The whale optimization algo rithm,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.628866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.466938Z digest=sha256:1031b7847cc1a34aef095d02dcf04f8cf8b95e7f80c3c1d75164080291648f73

Observation 2ed1a83c-42b8-4454-ba46-c703fbd2132a · outbound

This paper cites Multi- verse optimizer: a nature-inspired algorithm for global optimization,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Multi- verse optimizer: a nature-inspired algorithm for global optimization,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.612387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.472870Z digest=sha256:5f58accf1263ce1b984cea278f695b8971f5e7af53845b7a52241f82225c8f50

Observation 68c9562f-512b-41b3-ab5a-91ce671daaff · outbound

This paper cites The mnist database of handwritten digits,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks The mnist database of handwritten digits,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:07.478085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:56:07.478085Z digest=sha256:a19be020ca78aaca258ab62c92a70930b98fe9e8d57e3ec4106654c948011d25

Observation 24e17b3c-12d2-4abb-b812-ba592f087307 · outbound

This paper cites The cifar-10 dat aset,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks The cifar-10 dat aset,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.585166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.482800Z digest=sha256:89f109e7d027dd448fb2895ad07d36201cd3a1fbfb0b888e1c3753020bbb7775

Observation 73bd29ec-accb-46f7-beb1-b58454c9dcd7 · outbound

This paper cites Dlfuzz: di fferential fuzzing testing of deep learning systems,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Dlfuzz: di fferential fuzzing testing of deep learning systems,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.568083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.487507Z digest=sha256:80294fb5007d4a48c3a1ec0464c873d4854868125558afad4201d1839338300b

Observation 7bb9bddc-f874-4655-a68c-45e7dbb4794b · outbound

This paper cites Deeptest: Automate d testing of deep-neural-network-driven autonomous cars,.

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks Deeptest: Automate d testing of deep-neural-network-driven autonomous cars,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:56:07.550433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T04:56:07.492326Z digest=sha256:9cce77caa091c7c7137952d243e6b731bc8bc463d28a18e0031ec7fe6a0b13f7

Pith citing papers

No inbound Pith citation observations are available.