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Paper Citation Record · LEDGER

Large Language Models for Extrapolative Modeling of Manufacturing Processes

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.12185.

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

pith.paper-citation-record.v1
2502.12185 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:45.876048Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:20:41.984747Z

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 e302e99b-be9a-4aae-beb6-3d0db1ba57ca · inbound

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models cites this paper.

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models Large Language Models for Extrapolative Modeling of Manufacturing Processes

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:14:45.876048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:14:45.876048Z digest=sha256:e2c236b330c9d1fddc6cb42df1c50ef2bd0c2ccd3aaefd8b18c06c5a14f1fd68

Observation 21d2248b-8f85-4665-acfb-407d4be9a902 · inbound

Data-driven Discovery of Digital Twins in Biomedical Research cites this paper.

Data-driven Discovery of Digital Twins in Biomedical Research Large Language Models for Extrapolative Modeling of Manufacturing Processes

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:20:42.114755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:20:39.700988Z digest=sha256:1771e29ea3ab569c08bed63a1fe3503b659dbc494e16326b966fe25f388825c1