Paper Citation Record · LEDGER

Knowledge Migration Framework for Smart Contract Vulnerability Detection

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.11175.

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

pith.paper-citation-record.v1
2412.11175 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:18:03.865182Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy33
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dc05d49-4908-4299-879c-96097c44781d · outbound

This paper cites An overview of smart contract and use cases in blockchain technology.

Knowledge Migration Framework for Smart Contract Vulnerability Detection An overview of smart contract and use cases in blockchain technology

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.131016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc487c32-78ca-4008-9943-ae1621d43af3 · outbound

This paper cites Challenges and risk analysis in defi: The curve attack.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Challenges and risk analysis in defi: The curve attack

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.111310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3450885b-7595-4058-8e76-d2ce8817b534 · outbound

This paper cites Hack3d: The web3 security report 2023.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Hack3d: The web3 security report 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.088765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0961535b-293c-4436-a8b4-b85591e41dd5 · outbound

This paper cites Smart contract reentrancy vulnerability detection method based on deep learning hybrid model.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Smart contract reentrancy vulnerability detection method based on deep learning hybrid model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.060360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 813fc602-b67a-456a-96fc-ed29e560939c · outbound

This paper cites Multi-class classification of vulnerabilities in smart contracts using awd-lstm, with pre-trained encoder inspired from natural language processing.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Multi-class classification of vulnerabilities in smart contracts using awd-lstm, with pre-trained encoder inspired from natural language processing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.031542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71e5b9e3-d94d-4be2-8674-5425a41592a8 · outbound

This paper cites Zeus: analyzing safety of smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Zeus: analyzing safety of smart contracts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:05.010063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c7c1b63-91e3-4736-9288-97ee7e37b16b · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Distilling the Knowledge in a Neural Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.638979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af08fa7-dd0c-48a5-aec5-1f2ef38a156c · outbound

This paper cites Dynamic Temperature Knowledge Distillation.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Dynamic Temperature Knowledge Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.644352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392bccfc-433a-4c90-9455-5be099dfbb6f · outbound

This paper cites Mkdat: Multi-level knowledge distillation with adaptive temperature for distantly supervised relation extraction.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Mkdat: Multi-level knowledge distillation with adaptive temperature for distantly supervised relation extraction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.984888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 835d2a81-f764-4092-ab4a-32f92c85f7b6 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.656718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e69af93-3fcd-4184-9ca4-1ae986b557e6 · outbound

This paper cites Born again neural networks.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Born again neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.961481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 612fb223-3d92-4c82-a69b-2aac7f706059 · outbound

This paper cites Improving Knowledge Distillation via Regularizing Feature Norm and Direction.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Improving Knowledge Distillation via Regularizing Feature Norm and Direction

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.668295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 336efa15-dea0-4073-9f02-ae0feb29d103 · outbound

This paper cites Relational knowledge distillation.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Relational knowledge distillation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.673591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffafee3-bebf-40fb-afb7-39ee2bc2754c · outbound

This paper cites Cross-task knowledge distillation in multi-task recommendation.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Cross-task knowledge distillation in multi-task recommendation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.919592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 696f4909-60e2-47a8-9c53-dd4207c56de0 · outbound

This paper cites A survey of knowledge distillation in deep learning.

Knowledge Migration Framework for Smart Contract Vulnerability Detection A survey of knowledge distillation in deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.886990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c226e734-f8e4-4032-8491-992abff174d1 · outbound

This paper cites Vulnerability detection tech- niques for smart contracts: A systematic literature review.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Vulnerability detection tech- niques for smart contracts: A systematic literature review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.861574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65e4b98f-ebfc-4be6-acbe-0f91a2ee7603 · outbound

This paper cites Making smart contracts smarter.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Making smart contracts smarter

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.835123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0263e09f-e269-4f98-806b-f046dd520ba0 · outbound

This paper cites Mythril# 8.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Mythril# 8

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.809983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1eaf70ae-bebe-49bc-862a-ca5b1038d128 · outbound

This paper cites Securify: Practical security analysis of smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Securify: Practical security analysis of smart contracts

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.790074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33bf36c0-85a3-46e1-beec-61aed1a0cfc1 · outbound

This paper cites Manticore: A user-friendly symbolic execution frame- work for binaries and smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Manticore: A user-friendly symbolic execution frame- work for binaries and smart contracts

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.767835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7bc438e-f480-4a8e-939e-1305f4ed48dd · outbound

This paper cites Cbgru: A detection method of smart contract vulnerability based on a hybrid model.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Cbgru: A detection method of smart contract vulnerability based on a hybrid model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.744054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d69083b-b3e4-4257-a95b-66e0af590489 · outbound

This paper cites A smart contract vulnerability detection mechanism based on deep learning and expert rules.

Knowledge Migration Framework for Smart Contract Vulnerability Detection A smart contract vulnerability detection mechanism based on deep learning and expert rules

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.719806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c1d04d1e-fb85-4674-99ca-e9216d80fc91 · outbound

This paper cites A novel smart contract vulnerability detection method based on information graph and ensemble learning.

Knowledge Migration Framework for Smart Contract Vulnerability Detection A novel smart contract vulnerability detection method based on information graph and ensemble learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.692620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f241157f-a347-46c5-9118-18d82a9fc23b · outbound

This paper cites Spcbig-ec: a robust serial hybrid model for smart contract vulnerability detection.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Spcbig-ec: a robust serial hybrid model for smart contract vulnerability detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.660010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d3f6bd4-b762-454e-8e3f-c2b8334325e4 · outbound

This paper cites Combining graph neural networks with expert knowledge for smart contract vulnerability detection.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Combining graph neural networks with expert knowledge for smart contract vulnerability detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.638459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dab3e31e-fc08-42bd-8ca9-f490c955d57b · outbound

This paper cites Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.756732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55eb8063-95fa-4c77-9b0b-a3e5ba467417 · outbound

This paper cites Peculiar: Smart contract vulnerability detection based on crucial data flow graph and pre-training techniques.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Peculiar: Smart contract vulnerability detection based on crucial data flow graph and pre-training techniques

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.609404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd420e4e-883b-426a-9e75-27dd76bb002b · outbound

This paper cites Smart contract vulnerabil- ity detection based on semantic graph and residual graph convolutional networks with edge attention.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Smart contract vulnerabil- ity detection based on semantic graph and residual graph convolutional networks with edge attention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.584965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c3b63da-789e-458e-a985-e0e7c9597a15 · outbound

This paper cites VulDeePecker: A Deep Learning-Based System for Vulnerability Detection.

Knowledge Migration Framework for Smart Contract Vulnerability Detection VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.779996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e496d8-13b6-4546-9ded-23609fedb700 · outbound

This paper cites Sentiment analysis using word2vec-cnn-bilstm classification.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Sentiment analysis using word2vec-cnn-bilstm classification

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.551816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6ce6c7c-afa2-4dec-9ab5-c83590352dca · outbound

This paper cites Cross-modality mutual learning for enhancing smart contract vulnerability detection on bytecode.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Cross-modality mutual learning for enhancing smart contract vulnerability detection on bytecode

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.516292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e050c252-e2e3-4e7f-a600-766e3ee9669a · outbound

This paper cites Distributed rep- resentations of words and phrases and their compositionality.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Distributed rep- resentations of words and phrases and their compositionality

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.484931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 103de7ca-bf58-4a31-9fc0-3909e1960853 · outbound

This paper cites Enriching word vectors with subword information.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Enriching word vectors with subword information

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.456791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35913472-8819-420a-afff-203da6b53220 · outbound

This paper cites Attention is all you need.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Attention is all you need

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.808420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e610a8c-8924-418f-8b28-707351765ead · outbound

This paper cites Epsanet: An efficient pyramid squeeze attention block on convolutional neural network.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Epsanet: An efficient pyramid squeeze attention block on convolutional neural network

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.394926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8603c4b5-ca12-43ee-9348-7df0e2b46e39 · outbound

This paper cites Coatnet: Marrying convolution and attention for all data sizes.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Coatnet: Marrying convolution and attention for all data sizes

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.819200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c7c65b-90e7-4fc3-a30b-8a797a051c68 · outbound

This paper cites Empirical review of automated analysis tools on 47,587 ethereum smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Empirical review of automated analysis tools on 47,587 ethereum smart contracts

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.336994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24ca8fca-18eb-4231-899c-89a66dd607d3 · outbound

This paper cites sfuzz: An efficient adaptive fuzzer for solidity smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection sfuzz: An efficient adaptive fuzzer for solidity smart contracts

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.289760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0575ed1b-c784-4f41-8219-3f1d9fd3b380 · outbound

This paper cites Osiris: Hunting for integer bugs in ethereum smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Osiris: Hunting for integer bugs in ethereum smart contracts

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.264276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c43d926d-42a7-4546-87ac-dfa97cd32c63 · outbound

This paper cites Smartcheck: Static analysis of ethereum smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Smartcheck: Static analysis of ethereum smart contracts

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.234921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bb629b5-4168-4650-9d23-846d9282d6f3 · outbound

This paper cites Slither: a static analysis framework for smart contracts.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Slither: a static analysis framework for smart contracts

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.207529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71bb0391-1d16-4c8f-a1ff-c1fda485acb8 · outbound

This paper cites Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.852602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97fe6cc2-2135-4bb7-b1ec-2c0fa75d27a5 · outbound

This paper cites Towards au- tomated reentrancy detection for smart contracts based on sequential models.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Towards au- tomated reentrancy detection for smart contracts based on sequential models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:18:04.175186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80aa24e2-1acc-4a04-8e57-96ccdd302af3 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Knowledge Migration Framework for Smart Contract Vulnerability Detection Semi-Supervised Classification with Graph Convolutional Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:18:03.865182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.