Paper Citation Record · LEDGER

To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2403.17218.

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

pith.paper-citation-record.v1
2403.17218 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:11:39.675303Z

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

17
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 d73e4309-26aa-4990-bccc-08d1bcd12a7d · inbound

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection cites this paper.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.722561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4ddb17-cd27-4710-85c1-b860f77d7868 · inbound

Evaluating LLM-Based Regression Test Generation cites this paper.

Evaluating LLM-Based Regression Test Generation To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T18:46:26.630848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5938a075-7b19-463c-99f6-176e1270e4a4 · inbound

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" cites this paper.

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T17:26:43.546948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21970487-3b90-4c2d-be90-f682c2ecebe4 · inbound

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask cites this paper.

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.675303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc11be6-bc35-42c5-8b77-f5b5b45d917d · inbound

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code cites this paper.

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:41:56.384859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cafae9c9-14b8-40ab-9e8f-7610a223f44d · inbound

Context-Enhanced Vulnerability Detection Based on Large Language Model cites this paper.

Context-Enhanced Vulnerability Detection Based on Large Language Model To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T10:58:18.701503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34448a3c-3dc9-4eab-87e5-9af5e08b4eb1 · inbound

Context-Enhanced Vulnerability Detection Based on Large Language Model cites this paper.

Context-Enhanced Vulnerability Detection Based on Large Language Model To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:58:18.696897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016ca431-0365-4578-b104-0159731076c5 · inbound

Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective cites this paper.

Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:14:02.449114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f05787-da1b-4643-b415-e4d5a805d04e · inbound

What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection cites this paper.

What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:52.524061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d81575-52df-4be9-891f-0042cbf506a7 · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.146345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6640d51c-9318-4700-8188-c86665e834f3 · inbound

Geometric quantification for nonlinear deformation in knitted fabrics cites this paper.

Geometric quantification for nonlinear deformation in knitted fabrics To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-15T11:27:58.396234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08f06ee-dfb2-463e-8c53-f71767cc489b · inbound

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection cites this paper.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:19:14.750477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81008e88-7402-467d-abb3-b10b9b5d31a1 · 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 To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:05:54.705700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e2853c0-3ef2-4558-bbb5-1092539093b9 · 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 To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 46

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 5f657626-cf83-4a56-bb59-34d36c2ee853 · 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 To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T14:03:38.331376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119dc3e7-ae99-4ab2-b531-32a4998a71a5 · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:18:10.088297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6666b46c-95e7-4a9f-8936-d94b49258191 · inbound

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks? cites this paper.

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks? To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:33:45.233384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca79777c-087b-4274-9059-94f8acdc096b · inbound

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks? cites this paper.

SEC-bench Pro: Can Language Models Solve Long-Horizon Software Security Tasks? To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T13:10:40.467725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acdc03c-42ae-41e6-acf2-72ee1d1f00e8 · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:53.197092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c5aa47-ddae-45bf-b915-9782153a036a · inbound

Memoir: Learning, Verifying, and Evolving False-Positive Memories for Static Application Security Testing Tools cites this paper.

Memoir: Learning, Verifying, and Evolving False-Positive Memories for Static Application Security Testing Tools To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:33.339888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.