Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T20:46:18.446065Z
Paper Citation Record · LEDGER
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 6 inbound Pith citation observations for arXiv:2501.19282.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:39.729227Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T21:03:59.401697Z
Reference resolution
59 of 59 outbound references displayed
- verified exact0
- verified fuzzy56
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cb3b0360-6908-407c-9a05-b273d71262ab · outbound
This paper cites https://openai.com/index/dall-e-3/.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators https://openai.com/index/dall-e-3/
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.058853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f80d91a-44a1-4243-afbb-66a9f0d1349a · outbound
This paper cites https://github.com/google/ honggfuzz.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators https://github.com/google/ honggfuzz
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.048150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e4bca70e-5cc6-4d61-83aa-affeaa90efa6 · outbound
This paper cites On hardware security bug code fixes by prompting large language models.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators On hardware security bug code fixes by prompting large language models
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.038181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da0268ea-7371-4c88-a887-bceba667a2b5 · outbound
This paper cites Sarid: Arabic storyteller using a fine-tuned llm and text-to-image generation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Sarid: Arabic storyteller using a fine-tuned llm and text-to-image generation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.028342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f49fb228-35e6-4699-bf50-fa60ae631c85 · outbound
This paper cites Nautilus: Fishing for deep bugs with grammars.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Nautilus: Fishing for deep bugs with grammars
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.018166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3cb54c9-b438-4187-9510-45abf66ffcda · outbound
This paper cites Redqueen: Fuzzing with input-to-state correspondence.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Redqueen: Fuzzing with input-to-state correspondence
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:19.008733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 187dd280-93f0-4e18-b40e-f333756c4d9e · outbound
This paper cites Fuzztruction: Using fault injection-based fuzzing to leverage implicit domain knowledge.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fuzztruction: Using fault injection-based fuzzing to leverage implicit domain knowledge
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.998838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c7c2fdcf-b4bb-4f6e-b624-75d6eab5c365 · outbound
This paper cites {GRIMOIRE}: Synthesizing structure while fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators {GRIMOIRE}: Synthesizing structure while fuzzing
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.989145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 213256cb-e866-460a-ba31-f0ae4db5b4fb · outbound
This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.979904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7ebdd4e3-d577-4549-979b-50a592e37725 · outbound
This paper cites Large language models are edge-case genera- tors: Crafting unusual programs for fuzzing deep learn- ing libraries.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Large language models are edge-case genera- tors: Crafting unusual programs for fuzzing deep learn- ing libraries
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.969760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ca78359-572d-469c-86e4-8b7704044689 · outbound
This paper cites Large language models of code fail at completing code with potential bugs.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Large language models of code fail at completing code with potential bugs
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.958900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bb614cd4-1045-48b7-9392-56e7afa54135 · outbound
This paper cites Is “ai” useful for fuzzing? (keynote).
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Is “ai” useful for fuzzing? (keynote)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.948147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c7cecd76-11d9-4d56-8c71-ea585c5c6beb · outbound
This paper cites For- matfuzzer: Effective fuzzing of binary file formats.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators For- matfuzzer: Effective fuzzing of binary file formats
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.938366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ae06086c-3f0d-4680-8d8a-39fbe0eba0d9 · outbound
This paper cites Evolutionary grammar-based fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Evolutionary grammar-based fuzzing
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.929423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a62bc627-a75e-4b5a-843d-c38b2746abbc · outbound
This paper cites Weizz: Automatic grey-box fuzzing for struc- tured binary formats.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Weizz: Automatic grey-box fuzzing for struc- tured binary formats
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.918836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 01786e3b-39f5-4f5c-9454-94c0e4346bd2 · outbound
This paper cites {AFL++}: Combining incremental steps of fuzzing research.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators {AFL++}: Combining incremental steps of fuzzing research
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.908603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 61eb9ac2-121b-4d4f-b7f8-ea64655815de · outbound
This paper cites In USENIX Security, 2020.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators In USENIX Security, 2020
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.898661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 23bb0809-a0a2-4fd8-8bce-71426732e85e · outbound
This paper cites Llm blueprint: En- abling text-to-image generation with complex and de- tailed prompts.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Llm blueprint: En- abling text-to-image generation with complex and de- tailed prompts
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.888970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 705382d8-3ee5-4807-b681-d3b9a2e47681 · outbound
This paper cites an unresolved cited work.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T20:46:18.879550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e546196b-61ce-4f7e-8c99-200ff679cebc · outbound
This paper cites Longcoder: A long-range pre-trained language model for code completion.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Longcoder: A long-range pre-trained language model for code completion
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.870311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0baac12d-e034-4734-afe0-e3d47e1ce0bf · outbound
This paper cites Gramfuzz: Fuzzing testing of web browsers based on grammar analysis and structural mutation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Gramfuzz: Fuzzing testing of web browsers based on grammar analysis and structural mutation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.860434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6442e12d-3c6a-47af-90da-4d5f9c479a71 · outbound
This paper cites Magma: A ground-truth fuzzing benchmark.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Magma: A ground-truth fuzzing benchmark
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.850664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a4358c98-e444-4634-8d4e-dfd3c8917697 · outbound
This paper cites Grammarinator: a grammar-based open source fuzzer.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Grammarinator: a grammar-based open source fuzzer
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.841161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ff4e981-01cd-4810-b3e4-061dc4892950 · outbound
This paper cites Towards making the most of llm for translation quality estimation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Towards making the most of llm for translation quality estimation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.831528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 970bd67f-6892-4701-99a3-383ab12dd2cc · outbound
This paper cites Large language models strug- gle to learn long-tail knowledge.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Large language models strug- gle to learn long-tail knowledge
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.821709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9997c1de-b2d3-4c43-b76f-fb6053fef1a4 · outbound
This paper cites Learning to correct for qa reasoning with black-box llms.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Learning to correct for qa reasoning with black-box llms
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.811359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6029a099-9877-4c49-b396-4eb8b431bc81 · outbound
This paper cites Saffron: Adaptive grammar-based fuzzing for worst-case analy- sis.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Saffron: Adaptive grammar-based fuzzing for worst-case analy- sis
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.801648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 49284c65-a389-407e-bfb7-4ab82e9ae00e · outbound
This paper cites Fairfuzz: A tar- geted mutation strategy for increasing greybox fuzz test- ing coverage.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fairfuzz: A tar- geted mutation strategy for increasing greybox fuzz test- ing coverage
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.792059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f28c9d04-8077-4746-a6a4-a39e47282ce5 · outbound
This paper cites Clip-event: Connecting text and images with event structures.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Clip-event: Connecting text and images with event structures
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.782338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 235b6734-f6bf-4c83-90f5-3b1d096ba9b9 · outbound
This paper cites {UNIFUZZ}: A holistic and pragmatic {Metrics-Driven} platform for evaluating fuzzers.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators {UNIFUZZ}: A holistic and pragmatic {Metrics-Driven} platform for evaluating fuzzers
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.771689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ccf063b3-1c83-4c59-9eb8-0cded2ffa5ca · outbound
This paper cites Multi-task learning based pre-trained language model for code com- pletion.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Multi-task learning based pre-trained language model for code com- pletion
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.761619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7dc46a65-8aa9-4c57-bc8d-5312750642e5 · outbound
This paper cites Fuzzinmem: Fuzzing pro- grams via in-memory structures.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fuzzinmem: Fuzzing pro- grams via in-memory structures
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.751638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 781e7a72-86ae-46f9-8101-82c65362fd28 · outbound
This paper cites Vd-guard: Dma guided fuzzing for hypervisor virtual device.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Vd-guard: Dma guided fuzzing for hypervisor virtual device
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.740415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 46e05f99-bf4a-4824-be18-1b198efa7028 · outbound
This paper cites Llmscore: Unveiling the power of large language models in text-to-image synthesis evalu- ation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Llmscore: Unveiling the power of large language models in text-to-image synthesis evalu- ation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.730571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 17371e13-9d0f-46b7-a3ec-1b8e80c6b4e4 · outbound
This paper cites {MOPT}: Op- timized mutation scheduling for fuzzers.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators {MOPT}: Op- timized mutation scheduling for fuzzers
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.719968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2c10bc42-0583-4919-a120-b9f485f99942 · outbound
This paper cites Ems: History-driven mutation for coverage-based fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Ems: History-driven mutation for coverage-based fuzzing
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.709106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b70810a5-a768-4a12-9933-07129eeb86db · outbound
This paper cites Large language model guided proto- col fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Large language model guided proto- col fuzzing
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.697370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 895b7da8-b923-4f2d-a672-5b5e9e413e46 · outbound
This paper cites Fuzzbench: an open fuzzer benchmarking platform and service.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fuzzbench: an open fuzzer benchmarking platform and service
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.685978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56ec3f1c-419b-45d6-b1a9-1f6a447951e7 · outbound
This paper cites Fuzzing javascript engines with aspect- preserving mutation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fuzzing javascript engines with aspect- preserving mutation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.674769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 80fcee67-a725-4c16-9c86-7110f79e24de · outbound
This paper cites Examining zero-shot vulnerability repair with large language mod- els.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Examining zero-shot vulnerability repair with large language mod- els
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.663391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 798fc478-19b1-4cc1-8664-dbae89a6c7bf · outbound
This paper cites Smart greybox fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Smart greybox fuzzing
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.652392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e7d68600-543b-426d-8bca-8b74a4888f79 · outbound
This paper cites On extractive and abstractive neu- ral document summarization with transformer language models.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators On extractive and abstractive neu- ral document summarization with transformer language models
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.641421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e15a6b0c-70a5-4024-870f-905fdbb11b54 · outbound
This paper cites Unified text-to-image generation and retrieval.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Unified text-to-image generation and retrieval
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.631534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9ba05312-5041-4f40-93cd-e4e062a8848a · outbound
This paper cites Zero-shot text-to-image generation.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Zero-shot text-to-image generation
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:46:18.394738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37b517d0-a633-4e04-a8e4-996cfba5eb88 · outbound
This paper cites The battle of llms: A comparative study in conversational qa tasks.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators The battle of llms: A comparative study in conversational qa tasks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.616061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15c2fcf1-0bb7-418b-ae48-8072796189cf · outbound
This paper cites Unsupervised llm adaptation for question answering.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Unsupervised llm adaptation for question answering
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.606700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d5fd38e4-ccb0-4cc5-8dff-1823fb64df1c · outbound
This paper cites Grammar-based fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Grammar-based fuzzing
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.596149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0f6d51d6-7afa-449d-8604-2e855ac6dc3b · outbound
This paper cites Fox: Coverage-guided fuzzing as online stochastic control.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fox: Coverage-guided fuzzing as online stochastic control
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.586629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c35969e6-776c-4e15-a686-e8c2c2697ed3 · outbound
This paper cites Gramatron: Ef- fective grammar-aware fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Gramatron: Ef- fective grammar-aware fuzzing
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.576717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f525bfcd-e3a6-498e-bda0-3af63452512e · outbound
This paper cites Evaluating large lan- guage models on medical evidence summarization.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Evaluating large lan- guage models on medical evidence summarization
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.566322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 66cb5f1b-97cb-488e-aa67-88fcc21adcdf · outbound
This paper cites Supe- rion: Grammar-aware greybox fuzzing.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Supe- rion: Grammar-aware greybox fuzzing
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.555020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d0b52948-4804-4f1f-b19f-d4098931d163 · outbound
This paper cites Self-instruct: Aligning language model with self generated instructions.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Self-instruct: Aligning language model with self generated instructions
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.542894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bd0dfdf0-b2ff-453f-96a9-b06bef53815d · outbound
This paper cites Fuzz4all: Uni- versal fuzzing with large language models.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Fuzz4all: Uni- versal fuzzing with large language models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.532673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 464a7c9e-dc09-4fae-a1c8-3371403d7509 · outbound
This paper cites A systematic evaluation of large lan- guage models of code.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators A systematic evaluation of large lan- guage models of code
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.522149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cabdbcf8-ff8c-4e9d-b0ec-ec42e540726c · outbound
This paper cites Pro- fuzzer: On-the-fly input type probing for better zero-day vulnerability discovery.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators Pro- fuzzer: On-the-fly input type probing for better zero-day vulnerability discovery
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.511592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03c0067f-4b30-483c-831f-3d0bcc9e8e85 · outbound
This paper cites {EcoFuzz}: Adaptive {Energy- Saving} greybox fuzzing as a variant of the adversarial {Multi-Armed} bandit.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators {EcoFuzz}: Adaptive {Energy- Saving} greybox fuzzing as a variant of the adversarial {Multi-Armed} bandit
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.501167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b28e403f-5c79-4337-943a-e15ab5c34e5a · outbound
This paper cites American fuzzy lop, 2017.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators American fuzzy lop, 2017
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:46:18.438949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ad714f-fb1e-4501-9a66-afd49759a4c1 · outbound
This paper cites unparsed.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators unparsed
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.483783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4f202aec-a11c-4ec3-8578-4faa60af514f · outbound
This paper cites default features describing the target format.
Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators default features describing the target format
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T20:46:18.472745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation 99a6730c-09dd-4df6-9aa2-a15b599d4e4d · inbound
RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry cites this paper.
RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:39.729227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1a95c35-eb97-4e30-a183-b519f6507979 · inbound
ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference cites this paper.
ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:06:57.322780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca8258de-fbaf-4781-9cf8-20c235142471 · inbound
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models cites this paper.
Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:54:20.438580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df35b2bc-d5b2-44e2-929d-a44a29a9fa90 · inbound
Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps cites this paper.
Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:07:13.053523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aa12c0d-9953-4d7b-aa9d-bf045dfe5d63 · inbound
Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing cites this paper.
Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:05.749609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9e80ce22-4e55-46b6-ac74-2f4c4793067d · inbound
FuzzPilot: Plateau-Triggered Recipe Validation for Structured Text Fuzzing cites this paper.
FuzzPilot: Plateau-Triggered Recipe Validation for Structured Text Fuzzing Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:03:59.402972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.