Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:21:57.476226Z
Paper Citation Record · LEDGER
A systematic review of fuzzing based on machine learning techniques
As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.01262.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
40 of 40 outbound references displayed
- verified exact2
- verified fuzzy18
- unresolved20
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c8aae246-6353-4d71-aee5-cba1ac13a3dc · outbound
This paper cites V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing.
A systematic review of fuzzing based on machine learning techniques V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:21:57.388160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae563068-3605-405e-9c36-8dc2844b80c3 · outbound
This paper cites Static and dynamic analysis: Synergy and duality.
A systematic review of fuzzing based on machine learning techniques Static and dynamic analysis: Synergy and duality
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.985668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a9ee15f4-38de-401d-8f6d-871925d36c6e · outbound
This paper cites word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method.
A systematic review of fuzzing based on machine learning techniques word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:21:57.362441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3054615f-7424-487b-b5a7-3ebedcadc93c · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.933544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4719dc48-1818-40f3-8b50-30dcbf796410 · outbound
This paper cites Adaptive Grey-Box Fuzz-Testing with Thompson Sampling.
A systematic review of fuzzing based on machine learning techniques Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.921998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b636f98-78ea-421b-bea8-43f735bc69da · outbound
This paper cites Pin: building customized program analysis tools with dynamic instrumentation.
A systematic review of fuzzing based on machine learning techniques Pin: building customized program analysis tools with dynamic instrumentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.863696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0203d76e-3d32-40d9-b4d7-74df685dd7df · outbound
This paper cites The NIST SARD project [Internet].
A systematic review of fuzzing based on machine learning techniques The NIST SARD project [Internet]
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.832881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 25f7c9a9-b998-462a-ba10-ebeb1cb6bfef · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.819382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 62aeb3f8-5c68-49c9-a568-e4772964b7fb · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.805455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d7cf660-35ca-40d3-b86e-0756b8258f9c · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.790882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0a57590-92df-4ebe-8ca0-d292f35e982c · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.773056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e1a9f2f-e80a-4444-8f8c-48d242316ccc · outbound
This paper cites Body armor for binaries: preventing buffer overflows without recompilation.
A systematic review of fuzzing based on machine learning techniques Body armor for binaries: preventing buffer overflows without recompilation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.742372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82b37032-81da-4cd6-b1e1-02bd06bc21c1 · outbound
This paper cites Exniffer: Learning to Prioritize Crashes by Assessing the Exploitability from Memory Dump.
A systematic review of fuzzing based on machine learning techniques Exniffer: Learning to Prioritize Crashes by Assessing the Exploitability from Memory Dump
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.710234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fb0696d-181a-4424-8dc5-8a3b544df612 · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.694129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f7747bd-df19-45c8-bf7a-c8419838d34b · outbound
This paper cites Vulnerability detection with deep learning.
A systematic review of fuzzing based on machine learning techniques Vulnerability detection with deep learning
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.653759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 266822d8-0646-45a3-b1b8-6f473c660342 · outbound
This paper cites 1298–302.
A systematic review of fuzzing based on machine learning techniques 1298–302
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.631720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2942ebbc-3d08-4f40-9cc4-2e3ad8fb8ad5 · outbound
This paper cites Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware.
A systematic review of fuzzing based on machine learning techniques Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.757551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cf972b61-5a5d-4bc8-aa0c-c366b5523c9a · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.618612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38cbc460-5634-432c-ae89-9a19c431ac9d · outbound
This paper cites Available from: http://lcamtuf.coredump.cx/afl/ Zhang G, Zhou X, Luo Y, Wu X, Min E.
A systematic review of fuzzing based on machine learning techniques Available from: http://lcamtuf.coredump.cx/afl/ Zhang G, Zhou X, Luo Y, Wu X, Min E
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.603228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a1abbb6-136f-4627-9923-ce5dd41362c9 · outbound
This paper cites From automation to intelligence: Survey of research on vulnerability discovery techniques.
A systematic review of fuzzing based on machine learning techniques From automation to intelligence: Survey of research on vulnerability discovery techniques
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.588138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0eba6fee-088f-47d1-a2fe-3047fe0eaeac · outbound
This paper cites Fitness function [Internet]; 2019a [cited 2019 Jul 17].
A systematic review of fuzzing based on machine learning techniques Fitness function [Internet]; 2019a [cited 2019 Jul 17]
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.674220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be191059-c22a-4d0b-866a-4d17c5b3fbdb · outbound
This paper cites SmartSeed: Smart Seed Generation for Efficient Fuzzing.
A systematic review of fuzzing based on machine learning techniques SmartSeed: Smart Seed Generation for Efficient Fuzzing
Reference 190
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:21:57.397837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a961462-0b3c-48cb-a866-8910d5d34e78 · outbound
This paper cites Efficient backprop.
A systematic review of fuzzing based on machine learning techniques Efficient backprop
Reference 436
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.879622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2cf55fe4-8071-4212-ab8a-b05291d4f511 · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 1992
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.998911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55eb3714-6b8e-4f16-b75f-1e994d25cff7 · outbound
This paper cites !exploitable [Internet].
A systematic review of fuzzing based on machine learning techniques !exploitable [Internet]
Reference 1998
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.723438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0131c391-0a65-4bb3-8225-263fb6ebc6fe · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2001
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.849101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9732c6b4-dcad-4837-9abe-18bd0fe4601b · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2003
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.973258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78f5d573-29b2-4ad3-a8c5-f1bc2dc9c1e2 · outbound
This paper cites Unleashing Mayhem on Binary Code.
A systematic review of fuzzing based on machine learning techniques Unleashing Mayhem on Binary Code
Reference 2006
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:58.050587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e1520a98-2d1a-4e87-ba56-984bfb3dd9ed · outbound
This paper cites Big Code.
A systematic review of fuzzing based on machine learning techniques Big Code
Reference 2007
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.946326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4a4e6289-3629-4780-9082-65a5795a26ac · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2008
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:58.012709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2dbf1c17-cf7d-4e19-aee1-4cba018fad98 · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2009
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.909765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a099f6c-1f68-4583-9828-18c1927f651d · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2010
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:58.076554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f4f6d31d-fce8-4e8c-8ed2-e7f7d0aa967b · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2011
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:58.064132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 014d810c-54e2-423e-8f04-78b9bdc419a5 · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2012
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:58.037971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbdf84d3-2769-4de7-ac3d-2313baf29e77 · outbound
This paper cites Available from: https://lcamtuf.blogspot.com/2014/08/binary-fuzzing-strategies-whatworks.html LeCun Y, Bengio Y, Hinton G.
A systematic review of fuzzing based on machine learning techniques Available from: https://lcamtuf.blogspot.com/2014/08/binary-fuzzing-strategies-whatworks.html LeCun Y, Bengio Y, Hinton G
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:57.895975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f87bdb39-7cb4-4a56-a8f6-34163b61bc7e · outbound
This paper cites Faster Fuzzing: Reinitialization with Deep Neural Models.
A systematic review of fuzzing based on machine learning techniques Faster Fuzzing: Reinitialization with Deep Neural Models
Reference 2015
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T15:21:57.517137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4139b1a-7b0c-4cc3-9b7f-9cfca9f7684e · outbound
This paper cites FuzzerGym: A Competitive Framework for Fuzzing and Learning.
A systematic review of fuzzing based on machine learning techniques FuzzerGym: A Competitive Framework for Fuzzing and Learning
Reference 2016
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T15:21:57.572769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac6a9300-64fe-4574-9bd8-42ce473b63ea · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2017
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:57.961457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e214198-5680-4726-b8a2-8701e56a7460 · outbound
This paper cites an unresolved cited work.
A systematic review of fuzzing based on machine learning techniques Unresolved cited work
Reference 2018
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:21:58.025368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d222394c-f324-4cae-9fd5-61dc4fca8d1c · outbound
This paper cites AEG: Automatic exploit generation.
A systematic review of fuzzing based on machine learning techniques AEG: Automatic exploit generation
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:21:58.089231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.