Paper Citation Record · LEDGER

Are LLMs Correctly Integrated into Software Systems?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.05138.

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

pith.paper-citation-record.v1
2407.05138 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:42.886374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:20.676533Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c92356b-90be-4aa5-9449-ebcfa0883c74 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Are LLMs Correctly Integrated into Software Systems?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.886374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caee95c9-4839-43e2-8b68-9c0c164c12e2 · inbound

Specification and Detection of LLM Code Smells cites this paper.

Specification and Detection of LLM Code Smells Are LLMs Correctly Integrated into Software Systems?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T15:10:18.850865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2251e47-6d4a-4b68-8e8a-80034e8b0e40 · inbound

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair cites this paper.

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair Are LLMs Correctly Integrated into Software Systems?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:07:51.173826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 688a2f86-7994-4158-a4f9-8615e7d730c7 · inbound

LLM Code Smells: A Taxonomy and Detection Approach cites this paper.

LLM Code Smells: A Taxonomy and Detection Approach Are LLMs Correctly Integrated into Software Systems?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:24.003416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35b7565b-ca20-4c3d-ace4-f739c4129857 · inbound

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities cites this paper.

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Are LLMs Correctly Integrated into Software Systems?

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:20.677816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.