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Paper Citation Record · LEDGER

LLM4Decompile: Decompiling Binary Code with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2403.05286.

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

pith.paper-citation-record.v1
2403.05286 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:20:19.718564Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3bb471ef-9e8d-46aa-9d27-90d3e49b004d · inbound

Can Large Language Models Understand Intermediate Representations in Compilers? cites this paper.

Can Large Language Models Understand Intermediate Representations in Compilers? LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T20:20:19.718564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:20:19.718564Z digest=sha256:ea41aede4d652c73cd840dac5903cde074db4485c9c98663f8b9cbf59f20cbe4

Observation a6153dde-ead1-4fab-9ef9-07803c17bce4 · inbound

Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code cites this paper.

Beyond the Edge of Function: Unraveling the Patterns of Type Recovery in Binary Code LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:12:21.520707Z

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.

source=pdf_text observed=2026-05-23T01:07:51.075137Z digest=sha256:19566a8a27f1d71c2b6a26d214b045b9594299f7584717227f070d65bf3ca78c

Observation 488135c3-c42f-465f-a878-db19d1c64dd3 · inbound

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries cites this paper.

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:11.899620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:11.899620Z digest=sha256:8bd17d8f7a6a16747f1f2dbb4c01c349ef7a1853901ed29461847f7642809fd0

Observation f86c4cde-96f1-4e60-a8de-3fbf840d43f4 · inbound

gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks cites this paper.

gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:09:23.020505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:09:23.020505Z digest=sha256:78ae51c90925e90b345e108d5247e2e123f1abf6670ec5f25fd39ff334e7ed79

Observation e588517d-4fb9-4d63-89db-919417c1b499 · inbound

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation cites this paper.

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:44.343567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:44.343567Z digest=sha256:774e0d551a49ac5a4b71e79889d0a81825423380f242b88ce717b6abeac76017

Observation 452e3322-a1b3-49f3-b8af-e46794ed1654 · inbound

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis cites this paper.

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T20:52:32.532133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:52:32.532133Z digest=sha256:f280b29dc63cdb117606a316d55d4e852c77060f436c8b01af67f8e29ad9bcaa

Observation 89a17afa-30a3-4b4d-b55c-218f1e1954e6 · inbound

Context-Guided Decompilation: A Step Towards Re-executability cites this paper.

Context-Guided Decompilation: A Step Towards Re-executability LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:35.674943Z

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.

source=pdf_text observed=2026-05-18T01:33:54.870931Z digest=sha256:9439a4d649868de796cdcec890e7790ebc87ac9a3e59767bcee4c11c72fcbe2f

Observation eb0f7e5d-b8f6-45ba-91f0-218143e2f5d9 · inbound

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation cites this paper.

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:36:00.007421Z

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.

source=pdf_text observed=2026-05-10T18:02:53.996840Z digest=sha256:320fb2ca114ce8fecc843e3072c2ed9488412ff94502602a1c9e4121d917ec96

Observation 3aa6f963-1019-4f65-936b-db79c89c839c · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:45:50.338896Z

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.

source=pdf_text observed=2026-05-10T14:37:28.107313Z digest=sha256:dd9771e6bd60801c7360dcee7564376b67229acdd02f3d3ee0ad2e6fbb28544a

Observation 2504c6b0-348b-4f7e-9ca8-4f56af10be3c · inbound

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference cites this paper.

CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T21:07:20.347554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:07:20.347554Z digest=sha256:ddbf289308f9e8bac92f06878a66f96a1a904a36d57f09f9dac520107214af2b

Observation 83411ffb-b1a4-4d47-b974-cd54f162d73a · inbound

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery cites this paper.

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:11.746992Z

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.

source=pdf_text observed=2026-05-08T03:38:20.915757Z digest=sha256:a339cecdcce2f9ee21be0c40c8f977f7a10d996a2464127b96b48916e8948837

Observation 46cd83d6-20ea-4d32-9579-fab2f726acc1 · inbound

Agentic Vulnerability Reasoning on COTS Binaries cites this paper.

Agentic Vulnerability Reasoning on COTS Binaries LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:56:06.381381Z

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.

source=pdf_text observed=2026-05-08T16:56:40.135544Z digest=sha256:18af55ff648c1f045ae5d3b011bdaabbdb91e1843275454d3a333ef09c8e9a75

Observation b8f13d68-c52b-4c9d-9f48-3ef2e467f72f · inbound

Agentic Vulnerability Reasoning on COTS Binaries cites this paper.

Agentic Vulnerability Reasoning on COTS Binaries LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T14:49:44.334860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:49:44.334860Z digest=sha256:15ed059ce1ac271f2649e251e35beefc31eaa3b42e3745dcb12d5ca8b0e0a03e

Observation da22caa1-8008-4d8b-a93f-5e77e94718e3 · inbound

Decaf: Improving Neural Decompilation with Automatic Feedback and Search cites this paper.

Decaf: Improving Neural Decompilation with Automatic Feedback and Search LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:07:08.047348Z

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.

source=pdf_text observed=2026-05-13T02:03:19.836506Z digest=sha256:7376c73877391008bfe87b585c811361f754b5d327892dbe3969c9df53ea0191

Observation e7fb38b3-6e0a-448a-aa2d-1585b317179a · inbound

LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics cites this paper.

LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:07:18.287242Z

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.

source=pdf_text observed=2026-06-27T21:38:43.883961Z digest=sha256:d61d1ae34e2ee69bdaeabc624ad6a0d624ea79bdbfa1c05042b1ec8103c3f5c4

Observation b00a6234-f02f-493d-ad52-5a320725c983 · inbound

OASIF: An Efficient Obfuscation-Aware Self-Improving Framework for LLM-Based Assembly Code Instruction Following and Comprehension cites this paper.

OASIF: An Efficient Obfuscation-Aware Self-Improving Framework for LLM-Based Assembly Code Instruction Following and Comprehension LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:04:13.902354Z

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.

source=pdf_text observed=2026-06-30T02:58:39.929690Z digest=sha256:ffc052dbd717995ed67ffaa422bfde5adbe024f33418c456f1bb8d47696145ef

Observation 75bc1bd0-c212-42a0-b1db-74b83415ba90 · inbound

Checked Program Recovery from Execution Video: A Sound Oracle for Untrusted Generators cites this paper.

Checked Program Recovery from Execution Video: A Sound Oracle for Untrusted Generators LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:48.487712Z

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.

source=pdf_text observed=2026-07-02T08:45:25.011736Z digest=sha256:84c96109c7a458d1545eb8a9e7fb5a6b066a8de11e6cb96813cd5da407c2dea4

Observation a8cb5949-4aea-4280-9c85-af3750d94922 · inbound

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs cites this paper.

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-31T16:06:05.601499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T16:06:05.601499Z digest=sha256:ff3d67f53376b7293f396b12e4257123c1f7e2bd6f1fdc635841cfc6e98fcb17

Observation 7eed6ee0-2940-4bc2-9a27-968f5e5b595d · inbound

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery cites this paper.

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery LLM4Decompile: Decompiling Binary Code with Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T21:44:22.913280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:44:22.913280Z digest=sha256:108b0fb91b2a81ad0a0a832ddc6a2b5bfeadeb30fad9f3c1ba4120229eeec56f