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Paper Citation Record · LEDGER

Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02403.

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

pith.paper-citation-record.v1
2401.02403 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:00:27.701809Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:00:29.714503Z

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 7875821a-4537-43a5-9bc3-890e4656117e · inbound

Physics-guided denoiser network for enhanced additive manufacturing data quality cites this paper.

Physics-guided denoiser network for enhanced additive manufacturing data quality Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:00:29.718275Z

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=2026-08-06T11:00:27.701809Z digest=sha256:a8e05d0f9fbe8f5e3846bf4088eb80d43c24cc66424243a36aa51468dc8d6f98

Observation ec8c7cde-4a89-4515-a0f2-4239be057d91 · inbound

Variational Rank Reduction Autoencoders for Generative Thermal Design cites this paper.

Variational Rank Reduction Autoencoders for Generative Thermal Design Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T20:35:23.412540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:35:23.412540Z digest=sha256:84884dee3f51a92065e39ccea90a415e036976184e4c8190da3723c1ac8f0e04