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Paper Citation Record · LEDGER

Large Language Model Agent as a Mechanical Designer

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.17525.

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

pith.paper-citation-record.v1
2404.17525 v3

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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:11:24.539336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:49:37.894038Z

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 aec2a487-a27d-4ce3-8ab4-b605753ee137 · inbound

CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics cites this paper.

CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics Large Language Model Agent as a Mechanical Designer

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:06:32.098242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T15:05:37.519850Z digest=sha256:42cc73238164356e8ede348fd3657a835d720b8495fd6995a9c60e88227d87c5

Observation d2c186d7-9bc6-4cd1-8cb1-09efa22c87f5 · inbound

METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution cites this paper.

METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution Large Language Model Agent as a Mechanical Designer

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:56:26.507018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-07T08:53:11.226238Z digest=sha256:fa79cf6ffa44f4be865b2ae16bd63e89a8dc61280070e6b630c26fd452a1e596

Observation 2c7e10ec-950b-4cc5-93f7-2be26c00676a · inbound

Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges cites this paper.

Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges Large Language Model Agent as a Mechanical Designer

Reference 88

Resolution
malformed identifier
arxiv_id, observed 2026-05-09T06:50:41.994403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T17:59:50.936998Z digest=sha256:662d34740c9da8d778ee7683a83706e486a88e71db7f41cfa2e11fe143e43c65

Observation f04414f5-e4d4-47c2-b525-0322c21ee091 · inbound

Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework cites this paper.

Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework Large Language Model Agent as a Mechanical Designer

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:49:37.896310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T14:11:24.539336Z digest=sha256:44b9612e9861966cc48132daa7e4ffe2d9b378b79e47b7bf548ce267c5fcb8cc