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Paper Citation Record · LEDGER

Large Language Models for Manufacturing

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.21418.

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

pith.paper-citation-record.v1
2410.21418 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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:57:17.031800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:38:11.418330Z

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 901acb97-ea67-4af8-8b7b-b88f6b7bf133 · inbound

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research Large Language Models for Manufacturing

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.422669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:fb9f39ab66c40d9df16db1ac96fd59cd62ed1c592641f2ef603fa14ebf2f53ea

Observation a46c7a18-894e-4176-bed9-2485c44d1d59 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry Large Language Models for Manufacturing

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T14:06:38.058613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:a3b02951b1ac3faf4501bd255fc9dd54c56c94c8eb3dbb84eb0ece1a997fd61d

Observation 49f3f9ea-0e17-4160-b83a-4361bac04de8 · inbound

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version cites this paper.

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version Large Language Models for Manufacturing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T17:57:17.031800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:57:17.031800Z digest=sha256:12448181991ebbb918cf20612766190daf8a43bf2a9a3d0953621c19af54d133

Observation 5b321ef5-5c95-4b11-8472-ae0a904adc17 · inbound

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain cites this paper.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Large Language Models for Manufacturing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.376756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.376756Z digest=sha256:3d7253946ce8b9dbc23f734b8680e67c3614b619967f3e26df95bf5b6e7e91d5

Observation 2d9c2b1d-4bf4-4b71-8850-1fef409a0bdd · 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 Large Language Models for Manufacturing

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:31.962931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T03:37:06.875455Z digest=sha256:c597672109082c32c19498e30f5e9959fd8decc152505215ceb7c691f4db5acd