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Paper Citation Record · LEDGER

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.19892.

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

pith.paper-citation-record.v1
2410.19892 v2

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 2026-07-21T06:31:05.380196+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T19:57:37.784257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:58:11.933997Z

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 b6d542d7-c37a-496d-b869-322a3097c7ab · inbound

STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation cites this paper.

STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:58:11.936702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T19:57:37.784257Z digest=sha256:9efb6885920bd3f8806def703a8df8fe5c84bf3f8a634fa718afb83846264ecc