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Paper Citation Record · LEDGER

BandFuzz: An ML-powered Collaborative Fuzzing Framework

As of 18 August 2026, this Paper Citation Record lists 96 of 96 outbound references and 2 inbound Pith citation observations for arXiv:2507.10845.

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

pith.paper-citation-record.v1
2507.10845 v2

Coverage vector

measured 96 of 96 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:28:53.471180Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:17:28.993762Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

96 of 96 outbound references displayed

  • verified exact0
  • verified fuzzy79
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea76c1ed-f7b3-4582-9e26-2a339bb563a8 · outbound

This paper cites Neuzz: Efficient fuzzing with neural program smoothing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Neuzz: Efficient fuzzing with neural program smoothing,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:43.970423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:43.970423Z digest=sha256:c69be079d856d4acd7738acb64eb8f827a1ec86d04673f3b9ff520c6da975c75

Observation 745dad12-8be1-4dc3-bd2c-7cef2edad53a · outbound

This paper cites Mtfuzz: fuzzing with a multi-task neural network,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Mtfuzz: fuzzing with a multi-task neural network,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.045014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.045014Z digest=sha256:1918907e050aad2b967fdaa5349a2ef4727920fa3d5c7afeebcfa3b839848825

Observation 4ef9d26f-a93a-443f-a5d6-7302d60ac893 · outbound

This paper cites Cerebro: context-aware adaptive fuzzing for effective vulnerability detection,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Cerebro: context-aware adaptive fuzzing for effective vulnerability detection,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.163555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.163555Z digest=sha256:83d68eb19d89884b98c899b9e433c25cdcbf75ef8e7a31faa803c50746da6cef

Observation 049240b6-5d36-407c-9da0-907b8780eb12 · outbound

This paper cites Not all coverage measurements are equal: Fuzzing by coverage accounting for input prioritization.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Not all coverage measurements are equal: Fuzzing by coverage accounting for input prioritization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.311349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.311349Z digest=sha256:db14e2ba403243c5e9ecea647246976aea3c2e9e58f4aff5b68a4121e79d05da

Observation a48fa42a-a959-4aab-a0f5-a79ef1b7ddf7 · outbound

This paper cites Alphuzz: Monte carlo search on seed-mutation tree for coverage-guided fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Alphuzz: Monte carlo search on seed-mutation tree for coverage-guided fuzzing,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.407492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.407492Z digest=sha256:991bc1df0215af6dbf857391f1dee158515497e667b46a7d29b0ec80a5850133

Observation 86354823-ecfa-45ca-9cc6-cbbc5216075e · outbound

This paper cites Reinforcement learning-based hierar- chical seed scheduling for greybox fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Reinforcement learning-based hierar- chical seed scheduling for greybox fuzzing,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.486935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.486935Z digest=sha256:ba600c6fe5f94e2ef61812ac26d2e997e12b1c39c9b2c0b3ed4c36798053e245

Observation af91feff-1275-4668-b4ed-a8fa7e9176ae · outbound

This paper cites Optimizing seed selection for fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Optimizing seed selection for fuzzing,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.554982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.554982Z digest=sha256:d8bd1b0e6b397198adcdeb96ce6a2a292d944b6d482d1d9f796119bfb53c6454

Observation a28401a7-65a9-4488-a5ae-94e01e19ee17 · outbound

This paper cites Deepfuzzer: Accelerated deep greybox fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Deepfuzzer: Accelerated deep greybox fuzzing,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.642268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.642268Z digest=sha256:190b615d77785310944ed44589e4a733168e31915bfd13f9241fa4b3e6203f20

Observation c49785f2-f16f-484d-92ed-074e85a4160f · outbound

This paper cites Seed selection for successful fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Seed selection for successful fuzzing,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.751177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.751177Z digest=sha256:1a4b01c384a266f082a83dec0d855979d8d3a460865bd4b0a26990c8a5db0574

Observation b5683215-71ae-4733-9400-8c705ad4a989 · outbound

This paper cites Collafl: Path sensitive fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Collafl: Path sensitive fuzzing,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:44.810362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:44.810362Z digest=sha256:68f6d0ce036cdccdcb3912dce7377e2e3b4f9da29e69e53c1330e96877b7deff

Observation 419c9a02-0082-4042-b370-1ec6f413e9bb · outbound

This paper cites Better pay attention whilst fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Better pay attention whilst fuzzing,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.027961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.027961Z digest=sha256:7ac6384e40de43796382e34f78671909f75272376938df7dd204879d96e67c89

Observation 5e44fafa-5186-4b3c-be0c-7e0772775042 · outbound

This paper cites Coverage-based greybox fuzzing as markov chain,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Coverage-based greybox fuzzing as markov chain,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.113071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.113071Z digest=sha256:96c495b9ce0406b02cdf9399262edfcf4d2adae76493e6b4bb43e46d7ff3b049

Observation ed6264d0-a944-4fa3-812b-22afcace72d9 · outbound

This paper cites Ecofuzz: Adaptive energy-saving greybox fuzzing as a variant of the adversarial multi-armed bandit,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Ecofuzz: Adaptive energy-saving greybox fuzzing as a variant of the adversarial multi-armed bandit,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.204270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.204270Z digest=sha256:5e2d95c6dd10f19e3cd995b62d52a6e045879f4005c42f7d675e339d9264ce47

Observation f928cae3-93c1-4425-9f00-f37be4f246a3 · outbound

This paper cites Vuzzer: Application-aware evolutionary fuzzing.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Vuzzer: Application-aware evolutionary fuzzing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.322460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.322460Z digest=sha256:bf8e866eed6b4cbb4ab91814f026ae73092c5b3e66bf117a9fff38817e161114

Observation 022ac75e-7675-40d0-83a7-465762a2da3f · outbound

This paper cites Fairfuzz: A targeted mutation strategy for increasing greybox fuzz testing coverage,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fairfuzz: A targeted mutation strategy for increasing greybox fuzz testing coverage,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.418383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.418383Z digest=sha256:19ae34cee515e042f80a608a40a5ccb9346ec1c1850e9d28b710e2d4f33873ce

Observation 2da94f47-2828-40f8-9094-9e499c674bc8 · outbound

This paper cites Darwin: Survival of the fittest fuzzing mutators,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Darwin: Survival of the fittest fuzzing mutators,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:45.461545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:45.461545Z digest=sha256:e82d739486b0422fa726158206821201f0840d36e6095fe589f84ebfe84e545f

Observation 735fbf00-ec25-4edb-8dc3-333c7b3b1df1 · outbound

This paper cites Mopt: Optimized mutation scheduling for fuzzers,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Mopt: Optimized mutation scheduling for fuzzers,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:04.231695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:45.573815Z digest=sha256:8b9879a7497e79c1a5c34d4381471931f67019c45b6149fe5ae00cc504498fcb

Observation a741b446-9b56-45d5-9fcf-324bf98d6519 · outbound

This paper cites Redqueen: Fuzzing with input-to-state correspondence,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Redqueen: Fuzzing with input-to-state correspondence,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:03.942945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:45.652953Z digest=sha256:768519bf8a2f4ea92041433b73fb5327048dc750662847097bb4248d11b28990

Observation b8540690-fcfe-4fce-bb00-999977a38ae0 · outbound

This paper cites Aki helin / radamsa · gitlab,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Aki helin / radamsa · gitlab,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:03.740876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:45.738210Z digest=sha256:5732e0939624953ba22e5d4bc8e67f02cb21d0f0e539f1676d651f864be2c595

Observation f181f056-12fd-4a93-a719-a10ea24067d1 · outbound

This paper cites Profuzzer: On-the-fly input type probing for better zero- day vulnerability discovery,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Profuzzer: On-the-fly input type probing for better zero- day vulnerability discovery,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:03.493063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:45.804776Z digest=sha256:21d3414d8a3525212c6f8b40fd526f9cc7d3082b99ec8a437a0cfc9b9c6dd571

Observation 12971bca-b199-43c7-bfec-c115c7fbe633 · outbound

This paper cites Cmfuzz: context- aware adaptive mutation for fuzzers,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Cmfuzz: context- aware adaptive mutation for fuzzers,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:03.315803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:45.935107Z digest=sha256:aa5fdacc3960f8563635cd7fc154816b8e2ccf0cb25a6dd87828bd39465fe072

Observation 3ffe4e34-e1a9-4630-a1ba-8f5e15fc1345 · outbound

This paper cites Learning seed-adaptive mutation strate- gies for greybox fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Learning seed-adaptive mutation strate- gies for greybox fuzzing,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:03.073415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.031814Z digest=sha256:5eb39a82c2e1d3766df356ff98e226b654c8f775fbdea1f41b6d8a6a9d7be6c6

Observation 866c1d2f-888a-4f4b-9629-cceffdbcc817 · outbound

This paper cites Sok: Prudent evaluation practices for fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Sok: Prudent evaluation practices for fuzzing,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:02.805654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.080736Z digest=sha256:fa85639a0629f67b170eb2615ae5f4c7a410e9b02b40a305b0d6da3aa48bbedd

Observation 5ad16ae9-3e0c-4c9b-bd55-ba996b02f606 · outbound

This paper cites Fuzzbench: 2023-12-15-aflpp report,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzzbench: 2023-12-15-aflpp report,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:02.571453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.205669Z digest=sha256:f5dddf12f166bc4dff93a1dd6371e66658131ec355ee1ae61261218c8287054d

Observation 98f40db3-e7f5-4720-878a-c3c2b93742a6 · outbound

This paper cites Sbft tool competition 2023–fuzzing track,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Sbft tool competition 2023–fuzzing track,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:02.277878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.387468Z digest=sha256:48f9ea1712d86ed998ea74b70dc7d5434659eeb5777adf05661f0c5365fc394a

Observation 5065b6a6-3c26-4d76-8ca7-46ad751456af · outbound

This paper cites Afl++: Combining incremental steps of fuzzing research,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Afl++: Combining incremental steps of fuzzing research,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.975154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.489347Z digest=sha256:b5f449a5b9b0793675c5d2d95921fe2dd5f46f235e3dec2ab9567421d9162423

Observation 627b4a28-c6cd-40c8-8f35-dbf705a63248 · outbound

This paper cites Fuzzbench reports,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzzbench reports,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.844062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.583521Z digest=sha256:05bfa5e1fc1b13af7f94c193e88c974341237b56a4fc6ab90a0707f09faba60a

Observation 4433a9c7-1c31-4858-ad12-2f6b75d2aae3 · outbound

This paper cites Sbft 2023 fuzzing competition,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Sbft 2023 fuzzing competition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.790278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.693631Z digest=sha256:ce848bb8661eab49f861c046d916a5bb708459450144b63d8dcd125b73507a52

Observation 0a3d7c21-1367-4749-965c-901992b35723 · outbound

This paper cites Collabfuzz: A framework for collaborative fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Collabfuzz: A framework for collaborative fuzzing,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.696369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.829533Z digest=sha256:71102ebb8780b1ab7204397f4af969f95f6046a0a43674f5e7221caa2c81fcb8

Observation 32910439-09d4-4ca8-9a11-811614117835 · outbound

This paper cites Cupid: Automatic fuzzer selection for collaborative fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Cupid: Automatic fuzzer selection for collaborative fuzzing,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.587583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:46.960031Z digest=sha256:8034e67e70af103f944595ba225eadf68b8affd2ffc6efb96c87a2805fe70b0a

Observation de925b5c-5a23-4d95-8604-4f5913ccf3b2 · outbound

This paper cites Enfuzz: Ensemble fuzzing with seed synchronization among diverse fuzzers,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Enfuzz: Ensemble fuzzing with seed synchronization among diverse fuzzers,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.397010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.053185Z digest=sha256:04b49f30021edfd3d482f38f210154bc3574a7a66836eff9ac9d6e4884d0725f

Observation b951c5d6-e3ef-4be5-a393-df2878510aee · outbound

This paper cites autofz: Automated fuzzer composition at runtime,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework autofz: Automated fuzzer composition at runtime,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.283372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.170799Z digest=sha256:92c7f49408211c7ab881b71b66398021e4a6210f8b18ed91e07504090ddc1130

Observation db9cbe4a-46f5-4345-a64b-b443a8f38848 · outbound

This paper cites Fuzzbench: an open fuzzer benchmarking platform and service,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzzbench: an open fuzzer benchmarking platform and service,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.165019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.277419Z digest=sha256:d497fe180f25e62a415152c8854482c71efe92e5f8695bd86cb06ea14fcbff1d

Observation 5a99959a-5802-46b9-b58c-805b06b5d569 · outbound

This paper cites Fuzzer test suite (fts),.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzzer test suite (fts),

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:01.008477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.374997Z digest=sha256:365b3d729b808a4d7c37358e5b1fc348b9ed1f27ed4216c2533b184359d985e5

Observation e482c6e2-e041-4262-9447-0868529da13f · outbound

This paper cites American fuzzy lop,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework American fuzzy lop,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:28:47.468896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:28:47.468896Z digest=sha256:fe386a5df30a1861b39a546a406f01c4146b4f6dbe7cdaed431ae3bedf1b2aa9

Observation fcc610dc-c043-45d3-85c1-940dd63ed340 · outbound

This paper cites Angora: Efficient fuzzing by principled search,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Angora: Efficient fuzzing by principled search,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.921850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.568792Z digest=sha256:9b5a477387384fe5e05ce8538cd7b6e348cb56446691e77d3287ede80ddb5c00

Observation 8758ab3a-7a1a-46c2-b36a-09534c411436 · outbound

This paper cites Send hardest problems my way: Probabilistic path prioritization for hybrid fuzzing.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Send hardest problems my way: Probabilistic path prioritization for hybrid fuzzing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.827570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.694778Z digest=sha256:4f72eb993993638228d2b47b915e4b7289174a742c759690f7613899d3b24484

Observation 21df49bf-0782-4e83-b6ef-b8e2f5444b3d · outbound

This paper cites Smart greybox fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Smart greybox fuzzing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.742408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.770113Z digest=sha256:ad903a45729d8927c3d3db2b1d6c3c5d798b2912acdce7ba7a85146f9107bb90

Observation b3df31b7-c242-4265-9b9f-17c59ae729d7 · outbound

This paper cites Path tran- sitions tell more: Optimizing fuzzing schedules via runtime program states,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Path tran- sitions tell more: Optimizing fuzzing schedules via runtime program states,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.609496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:47.896337Z digest=sha256:ecff77342fc8675e98978d1ba928ca01c054b5396fd9edd4d38d283172453dda

Observation 4dcdf068-39c6-4287-9c48-9972da799951 · outbound

This paper cites A novel coverage-guided greybox fuzzing based on power schedule optimization with time complexity,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework A novel coverage-guided greybox fuzzing based on power schedule optimization with time complexity,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.482189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.002371Z digest=sha256:111da0e0a0bc453fe54ae06b17c3d876a347a059bbba1947471863052423966b

Observation a0ae8d21-f598-4dc4-8d32-9957a38d5062 · outbound

This paper cites Driller: Augmenting fuzzing through selective symbolic execution.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Driller: Augmenting fuzzing through selective symbolic execution

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.358721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.086921Z digest=sha256:f26f20ebcb2d579b28475e1f2ad5bdf1e98a9e8d8f4d089a18a58e9d12ead96e

Observation d68d6470-00e3-4008-95c9-544585492ba5 · outbound

This paper cites Symsan: Time and space efficient concolic execution via dynamic data-flow analysis,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Symsan: Time and space efficient concolic execution via dynamic data-flow analysis,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.262860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.154265Z digest=sha256:75f82f733bf851c6bf954c373d2654517df30dff5990a143615703029d5b2a78

Observation 466e47f8-2a42-45d2-a0c6-bd8ad39bdd9f · outbound

This paper cites Symbolic execution with symcc: Don’t interpret, compile!.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Symbolic execution with symcc: Don’t interpret, compile!

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.135322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.280490Z digest=sha256:83b4dfd7d1f7ea71cc09c0f749b546010d8ad1e17feb54cfb4e3796832a5736b

Observation bd8e49d6-2a2d-4868-a3af-150a9f075b1b · outbound

This paper cites Qsym: A practical concolic execution engine tailored for hybrid fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Qsym: A practical concolic execution engine tailored for hybrid fuzzing,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:29:00.014109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.364836Z digest=sha256:4c610b0e8ef00a6c81120f12e7241424bcd12822639be158545b071352855c16

Observation d8946c35-827d-4fa6-bf3e-a57a0e8b1cdc · outbound

This paper cites Symqemu: Compilation-based sym- bolic execution for binaries,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Symqemu: Compilation-based sym- bolic execution for binaries,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.892187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.486004Z digest=sha256:5b215b2bb5ee88f4d1f002826fad3850a919d04ee80b3ed13a1bc4e796c64f0a

Observation a757c115-d51b-4d7b-a857-1d838f2a035d · outbound

This paper cites Pangolin: Incre- mental hybrid fuzzing with polyhedral path abstraction,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Pangolin: Incre- mental hybrid fuzzing with polyhedral path abstraction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.789421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.576719Z digest=sha256:e4734e9797d098b299239cb8ac59f4907ec857acb81a27237ddca68c7b2d73c7

Observation 5cd59a8a-0fac-43fd-8a8e-40a2d1e34ae5 · outbound

This paper cites Fuzzolic: mixing fuzzing and concolic execution,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzzolic: mixing fuzzing and concolic execution,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.659842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.653369Z digest=sha256:00186aa6f3b2ea9b74e145d183ac9acfc42a05171d52b8bd830ce3e060efcbf2

Observation b034506e-2028-4ed2-b7cf-2f1230760271 · outbound

This paper cites Drifuzz: Harvesting bugs in device drivers from golden seeds,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Drifuzz: Harvesting bugs in device drivers from golden seeds,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.548667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.767410Z digest=sha256:18e3aea310bca7a4a9bc3d159144fc67374a7dbbafa094313fdb221f653411db

Observation bc609c94-c2a7-478f-81b4-368686bc96c4 · outbound

This paper cites Pata: Fuzzing with path aware taint analysis,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Pata: Fuzzing with path aware taint analysis,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.428651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.862690Z digest=sha256:0dc979230dcbc796230ffd235b3485704046fc1f96080064bc541111b5b2c07e

Observation a0b42d3e-6238-4c88-97c0-b50e614c3d21 · outbound

This paper cites Greyone: Data flow sensitive fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Greyone: Data flow sensitive fuzzing,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.307865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:48.927906Z digest=sha256:262004b6172b0afe145f44f7737e42ecf21d24dd072bbf8c40a91a141f99e2bc

Observation b5986edc-a017-42df-912c-ebaf71638112 · outbound

This paper cites Hfl: Hybrid fuzzing on the linux kernel.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Hfl: Hybrid fuzzing on the linux kernel

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.161951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.006026Z digest=sha256:926e95b11111ead9618e17aec6bab84afa7b839e3ebcb913e9ba82a2dc746d99

Observation a5afdc8f-bc08-4187-a6e7-9f2c217046ae · outbound

This paper cites Di- rected greybox fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Di- rected greybox fuzzing,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:59.002842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.088063Z digest=sha256:b912da3b152a63dd5b8c4103c7f023589ad6df849f8620ce51dce41442fa4f1f

Observation 7155e71e-60bf-4c65-8540-a7532fb839aa · outbound

This paper cites Perffuzz: Automati- cally generating pathological inputs,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Perffuzz: Automati- cally generating pathological inputs,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.920625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.178753Z digest=sha256:2bccf9aeb1d7c22adc01b2e4feb2048c43c07c4ead9377c50be237d0e6036a53

Observation 699846f0-bf6f-4b68-9b19-749f0200bfee · outbound

This paper cites Maxafl: Maximizing code coverage with a gradient-based optimization technique,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Maxafl: Maximizing code coverage with a gradient-based optimization technique,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.803000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.349099Z digest=sha256:9c4985f212bbaebe385f7eb13173cfa879650c90b183d7044ba7a875d418a840

Observation d1f538f8-37d8-4c4f-8170-4d4ff885faf5 · outbound

This paper cites No free lunch theorems for op- timization,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework No free lunch theorems for op- timization,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.687082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.472480Z digest=sha256:5026b19cf750af1675898f05fc25ad1aba9b6e9c0c0c47658d8359dcd19e52c7

Observation fcc1d8cd-48f7-4c87-baf5-4fb5046d4555 · outbound

This paper cites A tutorial on thompson sampling,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework A tutorial on thompson sampling,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.560420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.569936Z digest=sha256:1c090fd199a0bed3e03fb79316ade87b89a72109ca35e7c93ade18fc5b164dfb

Observation 86b9d740-373e-46e7-985d-ab57c7496dfb · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework On the likelihood that one unknown probability exceeds another in view of the evidence of two samples,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.455174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.660232Z digest=sha256:e95a10bf48e02c8c3b52e1ccdc98e11b940e129b66f1d5b1472753454edabf17

Observation 479b1a85-740d-47f3-abae-27d17eba195f · outbound

This paper cites Matching in multi-arm bandit with collision,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Matching in multi-arm bandit with collision,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.345981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.775937Z digest=sha256:07ff7c8e6a896ce5c407f9213742b2f0509142dc8d03d699a51849cab9df043d

Observation 09d50870-e67c-4308-8317-603744eb35d0 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Finite-time analysis of the multiarmed bandit problem,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.238160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.925752Z digest=sha256:9fb4482f7a9360297b5562369a9a868a6568ec9e6f836d81afb29890e8934d96

Observation 15e8a7f6-cac1-4a8d-a822-359dd593d797 · outbound

This paper cites An empirical evaluation of thompson sam- pling,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework An empirical evaluation of thompson sam- pling,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.091526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:49.991737Z digest=sha256:71c2d20213784ab717c4a3e8d7f9edcb96f46e30d5c1fbdb87a862a7a633b9ef

Observation 46cf7781-8b27-407d-aaef-8da6b0000009 · outbound

This paper cites Analysis of thompson sampling for the multi-armed bandit problem,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Analysis of thompson sampling for the multi-armed bandit problem,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:58.019677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.100171Z digest=sha256:eeb6eb7264717a224193d2e197e6a56199f22afa5553fcc7db2743410035a18b

Observation 65ebb2c7-9cb8-4f01-a077-7bd83296b854 · outbound

This paper cites Honggfuzz: Security oriented software fuzzer,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Honggfuzz: Security oriented software fuzzer,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.900447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.257623Z digest=sha256:ec0d3b3c465837d21f9d1f3ef5a7167bea6620f51f94fcd3c3e9e23704add5ab

Observation bad1757e-a37e-4004-9e2f-6f633fca9aaa · outbound

This paper cites Laf-intel,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Laf-intel,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.773295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.382520Z digest=sha256:78b218752e4e67ca76641213583e3ca90c7f5e93fac505d9e6c0934033819274

Observation 9d50ff44-2057-46c0-a4b5-943e611dbded · outbound

This paper cites Slime: program-sensitive energy allocation for fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Slime: program-sensitive energy allocation for fuzzing,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.642616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.475130Z digest=sha256:cbe40a6bd1de146ed8a6e008c6e2e48ab13d1a702feb88bec2586dbc09759c85

Observation 5f5cda0b-ed44-4dba-b9df-096b41735acd · outbound

This paper cites Mobfuzz: Adaptive multi-objective optimization in gray-box fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Mobfuzz: Adaptive multi-objective optimization in gray-box fuzzing,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.541246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.564540Z digest=sha256:3b1569dc973621d93dfba8ad066bb127691eb7528615678e3f4a6fe61ca3dff7

Observation ce4ecf51-6834-4d94-85bf-4d28728bad00 · outbound

This paper cites Fishfuzz: Catch deeper bugs by throwing larger nets,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fishfuzz: Catch deeper bugs by throwing larger nets,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.423818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.693750Z digest=sha256:426855c2e99a66b60f58f0e56e1fa5c74c74b43fd01e9944a64e163d55c47c37

Observation 78e8d984-11d6-4083-b77e-f958a97d999b · outbound

This paper cites Hollander, D.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Hollander, D

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.308841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.777639Z digest=sha256:4884a3a9793d6e64adcf975c0386279ce73fe21d070379fbe5674d01038c62f2

Observation 6b6b3456-9bbc-4837-b02a-e6010cc2e6b4 · outbound

This paper cites Sbft 2024 fuzzing competition,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Sbft 2024 fuzzing competition,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.122608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:50.886278Z digest=sha256:bf8bbee6c59f602b01b7f21231f2c9109ed355a7d46b26e27cd5154667b8da1e

Observation 8ea9dbe6-7fb6-4ef0-9492-53ff6a8120bb · outbound

This paper cites Systematic assessment of fuzzers using mutation anal- ysis,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Systematic assessment of fuzzers using mutation anal- ysis,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:57.006828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.027060Z digest=sha256:4bad5d7b4ef48becdff286c86a9eba57295b099d2f7f3754949b527e2ecebcff

Observation f2b1dbed-aa2f-49b8-b231-f64e3a40bb59 · outbound

This paper cites Libafl: A framework to build modular and reusable fuzzers,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Libafl: A framework to build modular and reusable fuzzers,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.879630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.131364Z digest=sha256:f8855d5d3feba3b5356864139b54528f14f4af2dc1c386f62247c56fec3e6628

Observation 1edb009f-260c-4da6-bd56-6517e1ca281f · outbound

This paper cites libfuzzer – a library for coverage-guided fuzz testing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework libfuzzer – a library for coverage-guided fuzz testing,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.728132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.208619Z digest=sha256:681fbc505e7dc2b48e58c93610b368ff0a66bc90ebec9ddb5a71e556610fa3b0

Observation 0271b272-ae4d-4cd5-abdd-6bb0d0945132 · outbound

This paper cites Pastis: A collaborative approach to combine heterogeneous software testing techniques,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Pastis: A collaborative approach to combine heterogeneous software testing techniques,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.613530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.287213Z digest=sha256:217c7b80ebeaebf46b4ad3ce2fdbfb22f20c20569ffe1d408f3c6bf29c57f018

Observation 54278483-9f15-460e-95bf-725d7600a672 · outbound

This paper cites Slopt: Bandit optimization framework for mutation-based fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Slopt: Bandit optimization framework for mutation-based fuzzing,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.477045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.362623Z digest=sha256:8be484893a577db81e88bb068aba67245c14618726931ac9432e675c79b82450

Observation d3451e22-526a-4dfb-84cb-7092a06756dc · outbound

This paper cites Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.382079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.433665Z digest=sha256:f1f8bc22ff8732b39fadf4669469abdef70c5934a9b4125236f2333b737673e9

Observation d7fdfb73-fad9-4ed0-9e52-9ce1c640d68d · outbound

This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.236430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.523049Z digest=sha256:e14e7a4384267b62531ee631ddfccccf03131634e0de13a4b95dbc1e2ba360cd

Observation e3112e45-1103-4c67-81f8-90fafb6176cd · outbound

This paper cites Fuzz4all: Universal fuzzing with large language models,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzz4all: Universal fuzzing with large language models,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:56.119148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.586098Z digest=sha256:9c3070e0f274634dfaaf9f4cee785b300e4f3e2eb2864531d6919d8dd00f342e

Observation a7acf850-c10c-4dd2-9945-79da08888756 · outbound

This paper cites Syzvegas: Beating kernel fuzzing odds with re- inforcement learning,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Syzvegas: Beating kernel fuzzing odds with re- inforcement learning,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.986034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.674172Z digest=sha256:fb8ddd8c5c93ccfe668129955fb559152f39ad8140dc4abef5b68c31bbc890ae

Observation fe9419e1-b97f-49f7-b04c-5eabe087db18 · outbound

This paper cites Fuzz- guard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Fuzz- guard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.832751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.756138Z digest=sha256:b0e1c5d3a3354ee42270b29d7135eb2dc74077c38706f601b814a98a3303f716

Observation 9244083b-f74c-4445-8cee-14288bf0060b · outbound

This paper cites Compiler fuzzing through deep learning,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Compiler fuzzing through deep learning,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.687386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.861577Z digest=sha256:5c13af3bdd2732c8a37f35761d877b205905039a3b8e97bd7c84fdf28531f1ba

Observation 6ad42443-6351-490e-94ed-d9fe6e53bb81 · outbound

This paper cites Evaluating and improving neural program- smoothing-based fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Evaluating and improving neural program- smoothing-based fuzzing,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.571561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:51.981638Z digest=sha256:a73432f92bd392ff826c099b95d94042714bf64c6ee6f09dac82a44c92aa8402

Observation 1589af73-e605-45d5-b046-0854c63a40da · outbound

This paper cites Revisiting neural program smoothing for fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Revisiting neural program smoothing for fuzzing,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.475695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.192593Z digest=sha256:c13b3159c6b62b2b1f0e4c5a0f59fe9dbf11953dbcd93b57dc34a6910efe0984

Observation c146a9c9-bb4b-4f90-82c9-85573e2edd36 · outbound

This paper cites Deep reinforcement fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Deep reinforcement fuzzing,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.339463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.339224Z digest=sha256:8f069d556acfe796b19095f30edc4e9ce5396f8f9e033fe5c9c22c7ad9ac4cef

Observation 626171e2-feab-4ca0-973c-1526231598f5 · outbound

This paper cites Deepfuzz: Automatic generation of syntax valid c programs for fuzz testing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Deepfuzz: Automatic generation of syntax valid c programs for fuzz testing,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.213105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.424322Z digest=sha256:50e0bb051794fbd3053adb882af298ecff0d526968bb707995c241115a3bd754

Observation 049661c7-c9f3-4326-ae6c-baac25061d63 · outbound

This paper cites Rltrace: Synthesizing high- quality system call traces for os fuzz testing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Rltrace: Synthesizing high- quality system call traces for os fuzz testing,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:55.098559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.509138Z digest=sha256:09a0659c98650576b364e3826df13f81f472e602c9624a1c82bf192688a96e2c

Observation bc4a626f-b2bc-41a2-93cf-7c904de3eab1 · outbound

This paper cites Alphaprog: reinforcement generation of valid programs for compiler fuzzing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Alphaprog: reinforcement generation of valid programs for compiler fuzzing,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.962438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.602796Z digest=sha256:255d6e1596b1c61e417075bf3e53d5fd8d9e9f13e6db5e2092a04ad6cea079fd

Observation e881517a-35cf-44a0-b075-9f9a2b56278c · outbound

This paper cites Evolutionary mutation-based fuzzing as monte carlo tree search,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Evolutionary mutation-based fuzzing as monte carlo tree search,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.824515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.719239Z digest=sha256:7de116e0a55da7c00c838beb44fe2b162b527be65ff1800884cbe94d6d1c9491

Observation 9bfe31ef-0a95-4bb9-824d-68b70adcc1b6 · outbound

This paper cites One fuzzing strategy to rule them all,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework One fuzzing strategy to rule them all,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.708239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.761942Z digest=sha256:d78995a03a1ad09a3da2e5d80a91f55322567f8de7861b70a9492f49fc1d6b96

Observation 0c147982-0f36-4a70-8ac8-8b1634e9c4f7 · outbound

This paper cites Banditfuzz: fuzzing smt solvers with multi-agent reinforcement learning,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Banditfuzz: fuzzing smt solvers with multi-agent reinforcement learning,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.590945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.886679Z digest=sha256:1543fad02bbbb48fb0308b66ea04bee8878676460a9e463ad795b4bdbec3bf07

Observation bc0a597f-0cc2-4009-bc8e-29e97a5867b3 · outbound

This paper cites Adaptive grey-box fuzz- testing with thompson sampling,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Adaptive grey-box fuzz- testing with thompson sampling,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.472741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:52.992355Z digest=sha256:5fb9b6dfc0756cf407dc6e02947b071cf9121e06b48f17950d6b5796ee976999

Observation e907c69f-03c0-4cf1-8084-0765eccb424e · outbound

This paper cites Effective seed scheduling for fuzzing with graph centrality analysis,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Effective seed scheduling for fuzzing with graph centrality analysis,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.347473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.048303Z digest=sha256:132cbd958da65087f715fcce126a11afccc3bb93cb50d74dcb39d71c7ed5044b

Observation e05c16bb-5926-4e2e-ae9d-7a8050ba0941 · outbound

This paper cites The non- stochastic multiarmed bandit problem,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework The non- stochastic multiarmed bandit problem,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.216827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.082540Z digest=sha256:6a8a9b015e2a2565963ea33427357cf9e77664d9ca61aa57a6b576da45ac5e59

Observation 72dab669-c6e2-483c-a38c-d7e19de9bbb1 · outbound

This paper cites syzkaller,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework syzkaller,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:54.094721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.147265Z digest=sha256:4e0ac525e210ea84218a861ac1bd27d2dea31614716fe9ebb71a6e7509d68545

Observation 5d254742-8bb6-4921-8ce3-018ac6843637 · outbound

This paper cites A survey of compiler testing,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework A survey of compiler testing,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:53.977262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.234972Z digest=sha256:9a9a44bf9d357b108117efa80e841fdf1f6045f1bc8b0dec2dbe6c45d0030207

Observation 4ce9db8d-a2ff-4521-8178-31c0bc03dc9d · outbound

This paper cites Dsmith: Compiler fuzzing through generative deep learning model with attention,.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Dsmith: Compiler fuzzing through generative deep learning model with attention,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:53.858157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.316360Z digest=sha256:2a126588a39bd5985e70d2193d4a408f622eafb3344eee9efe816e6d844cacf8

Observation 8c84105a-9040-415d-a332-5a748cdc39dd · outbound

This paper cites Let’s assume that we use the method in §3.1 to sched- ule three fuzzers throughout the fuzzing campaign: AFL, AFLFast and AFL++.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Let’s assume that we use the method in §3.1 to sched- ule three fuzzers throughout the fuzzing campaign: AFL, AFLFast and AFL++

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:53.728338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.394600Z digest=sha256:9156f2d811183845fd4cd885d6a29b666ef342297317f5649ab3263bdb6718d4

Observation 256c77e7-369b-4d91-bc60-33c272929933 · outbound

This paper cites Branch coverage.

BandFuzz: An ML-powered Collaborative Fuzzing Framework Branch coverage

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:28:53.619968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:28:53.471180Z digest=sha256:45d1e4f76e82fa8e3dd0ed29b800c02cb7b92126693893299ad91330466d6a5f

Pith citing papers

Observation 4608654a-323e-48b7-8f74-d759e6173c0e · inbound

SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned cites this paper.

SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned BandFuzz: An ML-powered Collaborative Fuzzing Framework

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T03:34:32.335203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:34:32.335203Z digest=sha256:af10b2f51749e45f9289cb3304743e7ced529d8d6f6e5453a1ab4b90b9758f9a

Observation 1f78bac9-8b2a-49a3-b453-67c8b49223c8 · inbound

SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned cites this paper.

SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned BandFuzz: An ML-powered Collaborative Fuzzing Framework

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T06:17:28.993762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:17:28.993762Z digest=sha256:4793ccd834f3e95a4519d5c0f51997506fa3683e8ebb029ff4be2e09604e85f3