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Paper Citation Record · LEDGER

Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.06817.

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

pith.paper-citation-record.v1
2206.06817 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:29:22.792337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:33:41.567320Z

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 5c283bfb-b000-4410-8256-3ae77c906b64 · inbound

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning cites this paper.

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:33:41.569863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T09:29:22.792337Z digest=sha256:9049408dceb04a63e9eed281c09d5419faf579810e563e59db468857651ae211