Paper Citation Record · LEDGER

Harnessing the Power of LLM to Support Binary Taint Analysis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.08275.

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

pith.paper-citation-record.v1
2310.08275 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:23.356227Z

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

7
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 3d2a2e28-4f30-42d2-8f7b-3c9d7623ca33 · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T05:32:23.356227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de813e2-a840-423f-98aa-90d5f767179e · inbound

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects cites this paper.

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:12.431162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15de990-a609-43c1-bd28-c665cda0c316 · inbound

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

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:01.462402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae395d8-5223-4d03-8254-dbb1bf46feb8 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 145

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:30.248635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bec7685-d066-4e97-8b19-24f128fbe9e5 · inbound

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers cites this paper.

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:19.440994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e727f1c7-b045-407d-ba81-5cbbd31d5cbf · inbound

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers cites this paper.

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:19:20.970775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70397e62-433a-4f3d-8e9b-d1bf80d6a141 · inbound

Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis cites this paper.

Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:54.440982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cb47d98-44dc-45f8-b784-31a664fe8d5d · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:05:54.711754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 890fdfef-3018-40d7-9711-043388d4981c · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T16:46:36.842198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f86b44d-ae8c-4df0-bba3-01a5bf4302e2 · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T14:03:36.749548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da285aec-19f9-4d7a-a565-25b0313c8323 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 153

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.499684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f886e0ad-ec80-42f0-a35f-1b1dacc7aea2 · inbound

FirmPilot: Evidence-Guided Multi-Agent Environment Recovery for IoT Firmware Rehosting cites this paper.

FirmPilot: Evidence-Guided Multi-Agent Environment Recovery for IoT Firmware Rehosting Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T00:47:28.186533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.