Pith. sign in

Paper Citation Record · LEDGER

The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.05089.

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

pith.paper-citation-record.v1
2104.05089 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:48:53.569015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:05:22.676683Z

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 d10903f1-ac28-4fd5-8ae5-180cc4d2287e · inbound

A Hybrid Deep-Learning Model for El Ni\~no Southern Oscillation in the Low-Data Regime cites this paper.

A Hybrid Deep-Learning Model for El Ni\~no Southern Oscillation in the Low-Data Regime The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T22:12:31.815667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:12:31.815667Z digest=sha256:c59f836d6ebc53ce2f8d0c5bf42a9e13c057b33dcd85330b68fd7fbc6d1da465

Observation b48bfed0-4172-4903-a24f-eab6cd7d6542 · inbound

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach cites this paper.

Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T17:48:53.569015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:48:53.569015Z digest=sha256:906f7808afd4086d374c58dbf20a2b44e002f8bde6e9db839dec6d5faf4372bd

Observation da5a9e97-d78a-4136-a3bc-136f008d5e6c · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:52.285770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T19:27:13.210860Z digest=sha256:069d62087bf094d023f07068ca0c6156a42be467819187248e871f2d1cd05fb1

Observation 842a42bb-c5b5-4d33-9175-83d581316fe9 · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.624784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T02:10:12.434970Z digest=sha256:67b7a6a4cd1f764c8a35f10bd98f2edb5e7ee5ec5b88440641e26a26ddeedc79

Observation b0234d97-ddd9-47fd-b44c-bcd972f45158 · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks The World as a Graph: Improving El Ni\~no Forecasts with Graph Neural Networks

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.679713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-25T05:04:16.957305Z digest=sha256:5e70c990ac39e7129a8ff6ac848fe76f314dcfa88d964022ef071990fe4dd0fa