Paper Citation Record · LEDGER

Decompiling Smart Contracts with a Large Language Model

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2506.19624.

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

pith.paper-citation-record.v1
2506.19624 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:33:53.681753Z

measured 19 of 19 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T10:26:44.571487Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.797002Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ca08ed3-0558-4632-a651-a5f4e72b0ebc · outbound

This paper cites Dx Protocol Vulnerability Disclosure: Mitigation of a $5,200,000 Smart Contract Exploit,.

Decompiling Smart Contracts with a Large Language Model Dx Protocol Vulnerability Disclosure: Mitigation of a $5,200,000 Smart Contract Exploit,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.994416Z

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 ac8156d7-60b7-4236-b73a-e3b3bc4ffa1b · outbound

This paper cites MEV Bot Exploit Transaction Anal- ysis,.

Decompiling Smart Contracts with a Large Language Model MEV Bot Exploit Transaction Anal- ysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.982495Z

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 7192dc7a-ba9a-411e-b935-89d7d68a8cf2 · outbound

This paper cites Decompilation of binary programs,.

Decompiling Smart Contracts with a Large Language Model Decompilation of binary programs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.969830Z

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 e898f7af-a4d5-4291-8242-263368731572 · outbound

This paper cites Decompiling java using staged encapsulation,.

Decompiling Smart Contracts with a Large Language Model Decompiling java using staged encapsulation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.958101Z

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 781bf88e-3875-42fb-bc73-66d9d6ae808f · outbound

This paper cites Native x86 decom- pilation using{Semantics-Preserving} structural analysis and iterative {Control-Flow} structuring,.

Decompiling Smart Contracts with a Large Language Model Native x86 decom- pilation using{Semantics-Preserving} structural analysis and iterative {Control-Flow} structuring,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.945178Z

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 5f46aafa-58a6-4264-b467-ca353c778897 · outbound

This paper cites Helping johnny to analyze malware: A usability-optimized decompiler and malware analysis user study,.

Decompiling Smart Contracts with a Large Language Model Helping johnny to analyze malware: A usability-optimized decompiler and malware analysis user study,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.932101Z

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 e347bc5b-a2a1-4200-b6bc-8d5eaf6a4df9 · outbound

This paper cites No more gotos: Decompilation using pattern-independent control-flow structuring and semantic-preserving transformations.

Decompiling Smart Contracts with a Large Language Model No more gotos: Decompilation using pattern-independent control-flow structuring and semantic-preserving transformations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.918398Z

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 07583088-f1dd-4e9c-b683-edf5fa6b0a80 · outbound

This paper cites Erays: reverse engineering ethereum’s opaque smart contracts,.

Decompiling Smart Contracts with a Large Language Model Erays: reverse engineering ethereum’s opaque smart contracts,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.904898Z

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 9b6a1fd6-c147-42f6-b19e-a129b4e3ec15 · outbound

This paper cites Gigahorse: thorough, declarative decompilation of smart contracts,.

Decompiling Smart Contracts with a Large Language Model Gigahorse: thorough, declarative decompilation of smart contracts,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.892860Z

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 fa353ae5-277b-4be1-bf57-9bdd6f605915 · outbound

This paper cites Elipmoc: Advanced decompilation of ethereum smart contracts,.

Decompiling Smart Contracts with a Large Language Model Elipmoc: Advanced decompilation of ethereum smart contracts,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.878271Z

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 7b3343af-078c-4598-a100-75f1dfa1b340 · outbound

This paper cites An empirical study of smart contract decompilers,.

Decompiling Smart Contracts with a Large Language Model An empirical study of smart contract decompilers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.862809Z

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 24fdd605-b94a-4523-9bb2-fdb795496003 · outbound

This paper cites Using recurrent neural net- works for decompilation,.

Decompiling Smart Contracts with a Large Language Model Using recurrent neural net- works for decompilation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.848689Z

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 5e9fedf9-d101-438d-ac62-91b6cd1fa483 · outbound

This paper cites Coda: An end-to-end neural program decompiler,.

Decompiling Smart Contracts with a Large Language Model Coda: An end-to-end neural program decompiler,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.790496Z

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 75b46522-f1db-4d4a-8fcd-14cdfcfe2868 · outbound

This paper cites Boosting neural networks to decompile optimized binaries,.

Decompiling Smart Contracts with a Large Language Model Boosting neural networks to decompile optimized binaries,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.776129Z

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 d88273ea-0490-4a7b-ba59-a3db7e0f6bb4 · outbound

This paper cites {DnD}: A{Cross- Architecture} deep neural network decompiler,.

Decompiling Smart Contracts with a Large Language Model {DnD}: A{Cross- Architecture} deep neural network decompiler,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.763998Z

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 60807720-9cdd-4b6b-9893-c800e6d170ff · outbound

This paper cites Decompiling x86 deep neural network executables,.

Decompiling Smart Contracts with a Large Language Model Decompiling x86 deep neural network executables,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:33:53.673711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a75d903-bd36-4786-bc4e-25549e18fd3b · outbound

This paper cites Degpt: Optimizing decompiler output with llm,.

Decompiling Smart Contracts with a Large Language Model Degpt: Optimizing decompiler output with llm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:33:53.731546Z

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 794190c2-c3ca-4156-9b00-c26215b32da5 · outbound

This paper cites LLM4Decompile: Decompiling Binary Code with Large Language Models.

Decompiling Smart Contracts with a Large Language Model LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:33:53.681753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 93f76ac8-f166-4dd7-a667-114a8932af05 · inbound

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers cites this paper.

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers Decompiling Smart Contracts with a Large Language Model

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.798500Z

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.