Paper Citation Record · LEDGER

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.02465.

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

pith.paper-citation-record.v1
2309.02465 v1

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 2026-08-16T11:41:28.284903Z

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

3
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 aced4a21-658f-4592-be74-29c118b8cef9 · inbound

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks cites this paper.

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:57:40.106991Z

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 9a8dd16d-f341-4439-9bbf-982cc46e0d33 · inbound

Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities cites this paper.

Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Reference 238

Resolution: unresolved; no resolver link, observed 2026-08-16T11:41:28.284903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb3d8f50-cc11-4c1d-955d-db09b08ad485 · inbound

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools cites this paper.

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T13:23:12.456679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1bf5c1-9aa8-42f0-9ef8-17a06414fa44 · inbound

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach cites this paper.

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:20:50.830342Z

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 963bae62-f205-4c47-ab83-52a662459286 · inbound

Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing cites this paper.

Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.953582Z

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.