Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:01:21.638787Z
Paper Citation Record · LEDGER
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.12084.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy50
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2b85f9b3-7808-4b0b-a735-649949011ea4 · outbound
This paper cites An overview on smart contracts: Challenges, advances and platforms,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation An overview on smart contracts: Challenges, advances and platforms,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:30.705815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c2a6fca2-6832-47db-8c62-112e19815be3 · outbound
This paper cites Blockchain smart contracts: Applications, challenges, and future trends,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Blockchain smart contracts: Applications, challenges, and future trends,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:30.470696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d171444b-5dec-4800-b1f9-ae1b8c7be2cc · outbound
This paper cites Challenges and common solutions in smart contract development,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Challenges and common solutions in smart contract development,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:30.285986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 67da1848-6edf-4c2e-95dd-dcae03666062 · outbound
This paper cites A survey on smart contract vulnerabilities: Data sources, detection and repair,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation A survey on smart contract vulnerabilities: Data sources, detection and repair,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:30.089973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation da991df7-382e-4c9d-92a1-3eab7fb20a65 · outbound
This paper cites Understanding a revolutionary and flawed grand experiment in blockchain: the dao attack,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Understanding a revolutionary and flawed grand experiment in blockchain: the dao attack,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:29.867088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 64761143-2812-4bd3-8ef5-608b496c741c · outbound
This paper cites Vulnerability detection techniques for smart contracts: A systematic literature review,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Vulnerability detection techniques for smart contracts: A systematic literature review,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:29.621177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2057b1a9-65fb-4330-ad19-e4e4c22fa7b0 · outbound
This paper cites Fuzzing: a survey,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Fuzzing: a survey,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:29.421554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation efc28dcf-1f7e-4cba-9430-843a9f059b01 · outbound
This paper cites Adversarial generation method for smart contract fuzz testing seeds guided by chain- based llm,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Adversarial generation method for smart contract fuzz testing seeds guided by chain- based llm,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:29.191534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 79429211-1fa3-4d75-9688-3c7eccaa1160 · outbound
This paper cites Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.993063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 60dce541-5daa-468a-9567-b37c54b43a0b · outbound
This paper cites Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:01:18.609117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a0e1e54-e260-4665-9401-a032e8697924 · outbound
This paper cites Large language model guided protocol fuzzing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Large language model guided protocol fuzzing,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.788958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d5f98c1b-dedd-4f17-a3a5-821a548cde06 · outbound
This paper cites Fuzz4all: Universal fuzzing with large language models,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Fuzz4all: Universal fuzzing with large language models,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.561029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5156056c-a122-48f0-a9a3-5a5f40b8872d · outbound
This paper cites MuFuzz: sequence- aware mutation and seed mask guidance for blockchain smart contract fuzzing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation MuFuzz: sequence- aware mutation and seed mask guidance for blockchain smart contract fuzzing,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.327923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 23442b64-64c5-46dc-bcc1-2afb5fc821fa · outbound
This paper cites Fuzzing: a survey for roadmap,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Fuzzing: a survey for roadmap,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.200540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 62aba4e1-ff9f-43de-aa25-182a59e15099 · outbound
This paper cites Are we there yet? unraveling the state-of-the-art smart contract fuzzers,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Are we there yet? unraveling the state-of-the-art smart contract fuzzers,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:28.076020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2d674819-f86d-4ef9-9cc6-048d9aabb3db · outbound
This paper cites Seed selection for successful fuzzing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Seed selection for successful fuzzing,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.951740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26fb28b2-ae08-4e40-9cad-d67a79a09daf · outbound
This paper cites Testing smart contracts gets smarter,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Testing smart contracts gets smarter,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.840917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3bd42afd-7c05-457f-aafe-e4b6bed11f59 · outbound
This paper cites sfuzz: An efficient adaptive fuzzer for solidity smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation sfuzz: An efficient adaptive fuzzer for solidity smart contracts,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.712415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 67573e3a-6379-444e-a957-8318f0f52eea · outbound
This paper cites Smartian: Enhancing smart contract fuzzing with static and dynamic data-flow analyses,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Smartian: Enhancing smart contract fuzzing with static and dynamic data-flow analyses,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.583342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 001d0398-7c82-4f3b-bd5b-3737f340a054 · outbound
This paper cites Increasing fuzz testing coverage for smart contracts with dynamic taint analysis,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Increasing fuzz testing coverage for smart contracts with dynamic taint analysis,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.455140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e7cca2e7-1c83-4428-be8d-4f0c2fb3c982 · outbound
This paper cites Securify: Practical security analysis of smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Securify: Practical security analysis of smart contracts,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.301198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c5cd8807-9716-4d68-87e4-3e472ebf3866 · outbound
This paper cites Smartcheck: Static analysis of ethereum smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Smartcheck: Static analysis of ethereum smart contracts,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.184494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ac219054-432f-4fbf-ac0b-b8eb38afbe09 · outbound
This paper cites Contractward: Automated vulnerability detection models for ethereum smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Contractward: Automated vulnerability detection models for ethereum smart contracts,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:27.023466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2c682034-0650-4474-84c3-16131c98c4cd · outbound
This paper cites Manticore: A user-friendly symbolic execution framework for binaries and smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Manticore: A user-friendly symbolic execution framework for binaries and smart contracts,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.869091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 51e3019c-90bd-479e-99c6-c40ed3b18cb6 · outbound
This paper cites Zeus: analyzing safety of smart contracts.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Zeus: analyzing safety of smart contracts
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.733718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 739db11b-e3f0-4aee-8d5b-51b4350d1225 · outbound
This paper cites Slither: a static analysis framework for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Slither: a static analysis framework for smart contracts,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.562844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3d8b418f-268b-49eb-8d14-9de8901956f9 · outbound
This paper cites Ityfuzz: Snapshot-based fuzzer for smart contract,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Ityfuzz: Snapshot-based fuzzer for smart contract,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.388604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6bd82595-edb5-4ade-adf4-f6a2b456c77a · outbound
This paper cites Reguard: finding reentrancy bugs in smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Reguard: finding reentrancy bugs in smart contracts,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.220448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aeacf922-ba69-465e-a938-8072c820fd59 · outbound
This paper cites xfuzz: Machine learning guided cross-contract fuzzing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation xfuzz: Machine learning guided cross-contract fuzzing,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:26.037161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6ec89fd8-6f85-4f1d-87a9-569238ba76b4 · outbound
This paper cites A systematic literature review of blockchain and smart contract development: Tech- niques, tools, and open challenges,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation A systematic literature review of blockchain and smart contract development: Tech- niques, tools, and open challenges,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:25.805840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 87243b84-2fab-40bf-b62f-0c0035b6021d · outbound
This paper cites Learning to fuzz from symbolic execution with application to smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Learning to fuzz from symbolic execution with application to smart contracts,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:25.634930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 05285897-1071-4efb-bf33-aa29caf7ebe1 · outbound
This paper cites Confuzzius: A data dependency-aware hybrid fuzzer for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Confuzzius: A data dependency-aware hybrid fuzzer for smart contracts,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:25.441035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9704a51d-da5c-4ba6-bf2e-c7f564f0f14a · outbound
This paper cites Effectively generating vulnerable transaction sequences in smart contracts with reinforcement learning-guided fuzzing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Effectively generating vulnerable transaction sequences in smart contracts with reinforcement learning-guided fuzzing,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:25.271994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5528c1d0-c70a-4bc3-a9ba-bc5b269605d3 · outbound
This paper cites Verismart: A highly precise safety verifier for ethereum smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Verismart: A highly precise safety verifier for ethereum smart contracts,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:25.144494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6dba9597-b4a8-4fc9-a608-13fdd76d6af8 · outbound
This paper cites Smart contract vulnerability detection using graph neural networks,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Smart contract vulnerability detection using graph neural networks,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:24.920710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ee2cddbb-6e04-44c8-844d-2c45846630ac · outbound
This paper cites Empirical review of automated analysis tools on 47,587 ethereum smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Empirical review of automated analysis tools on 47,587 ethereum smart contracts,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:24.718902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 334b472b-4823-4220-bf4e-7797936b583f · outbound
This paper cites Swc registry,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Swc registry,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:24.565411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 875cc2d6-05fc-425a-b5c9-72fcb2b284dd · outbound
This paper cites Finding the greedy, prodigal, and suicidal contracts at scale,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Finding the greedy, prodigal, and suicidal contracts at scale,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:24.368752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6e75e8d1-69f8-4f97-a690-78b537b6ae7f · outbound
This paper cites Defectchecker: Automated smart contract defect detection by analyzing evm bytecode,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Defectchecker: Automated smart contract defect detection by analyzing evm bytecode,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:24.126654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 14cbfc47-6598-4810-85e7-e422b03158e1 · outbound
This paper cites Mythril: A security analysis tool for evm bytecode,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Mythril: A security analysis tool for evm bytecode,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.953424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1983ec98-2060-4680-9544-3eb96982ab74 · outbound
This paper cites Osiris: Hunting for integer bugs in ethereum smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Osiris: Hunting for integer bugs in ethereum smart contracts,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.746664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cd12f402-2091-4b64-bb59-daa28c1a9f6a · outbound
This paper cites Making smart contracts smarter,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Making smart contracts smarter,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.556415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5390981a-3e8c-419d-a580-4e2ae7193191 · outbound
This paper cites teEther: Gnawing at ethereum to automatically exploit smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation teEther: Gnawing at ethereum to automatically exploit smart contracts,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.379036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a575c89d-6ca8-476e-85e6-5206a4e12d56 · outbound
This paper cites Contractfuzzer: Fuzzing smart contracts for vulnerability detection,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Contractfuzzer: Fuzzing smart contracts for vulnerability detection,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.247416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1c4a571f-f77e-4ef4-853b-1c99afcd0139 · outbound
This paper cites Oracle-supported dynamic exploit generation for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Oracle-supported dynamic exploit generation for smart contracts,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:23.088164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6d3cf223-023a-40d9-b7f0-7fd15de7df85 · outbound
This paper cites Echidna: effective, usable, and fast fuzzing for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Echidna: effective, usable, and fast fuzzing for smart contracts,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:22.883410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 22850875-727d-4794-b89b-d17469e18bc3 · outbound
This paper cites Harvey: A greybox fuzzer for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Harvey: A greybox fuzzer for smart contracts,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:22.700227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 61a4dd89-37f9-42e1-b203-5077ee6796af · outbound
This paper cites Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:22.519847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 73575c64-13c8-4ed3-97aa-5afa5708e6e5 · outbound
This paper cites Smartgift: Learning to generate practical inputs for testing smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Smartgift: Learning to generate practical inputs for testing smart contracts,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:22.329001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 022f1117-b5cb-4f8a-b5d8-b64850cff135 · outbound
This paper cites Soliaudit: Smart contract vulnerability assessment based on machine learning and fuzz testing,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Soliaudit: Smart contract vulnerability assessment based on machine learning and fuzz testing,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:22.095509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 43def1be-7fc4-4843-88ac-217bf7d153ef · outbound
This paper cites Syntest-solidity: Automated test case generation and fuzzing for smart contracts,.
LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Syntest-solidity: Automated test case generation and fuzzing for smart contracts,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:01:21.868920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.