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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:12.456679Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T06:57:35.070946Z digest=sha256:0658040c2df85e4c1677b62ada967b884597171490dabb43d71846d23821177f

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.

source=pdf_text observed=2026-08-05T13:23:12.456679Z digest=sha256:a2f0315189aecc9422dbb1ef8139d522986faf6b4fe381cf821335e2ed943e70

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:51:36.295771Z digest=sha256:f48b5a4cbca63cb0a7abf410e1242314d16b60e269dc6a5746296a04d4c8d576

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T03:37:06.875455Z digest=sha256:6e31cfe29078c96d99f97eeb796f62e44bbb215545f2d4640ece2a022b96f7ee