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Paper Citation Record · LEDGER

Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.10664.

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

pith.paper-citation-record.v1
2205.10664 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:37:43.571838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:45:46.228984Z

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 0d5ec04a-c374-4f90-ab54-da40275b118e · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:45:46.232431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:44:20.434591Z digest=sha256:ecfbd2f67f65ae215591817935ff7cfa396062a808c8ebb5ffb367c6cce063b8

Observation d18b8120-fa87-4064-9507-6a8cc2fdf107 · inbound

A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.

A Generalizable Anomaly Detection Method in Dynamic Graphs Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T10:37:43.571838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:37:43.571838Z digest=sha256:e086b1c5b0ac056be0af5e6385e9d8f8ca1ef08a640e51fd5f9e96ff41979c91