Pith. sign in

Paper Citation Record · LEDGER

Machine Learning for Precipitation Nowcasting from Radar Images

As of 27 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.12132.

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

pith.paper-citation-record.v1
1912.12132 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-27T06:30:09.085275+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:15:03.679924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 3ec87bcd-3bcc-4aed-abb4-20913cd1333a · inbound

M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention cites this paper.

M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention Machine Learning for Precipitation Nowcasting from Radar Images

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:10:25.814831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-10T13:09:54.502269Z digest=sha256:95e9fad5dc0b53651e799b732e5ddd09347537efe5863234f7dfe81ef090e7c2

Observation 9a709c9a-dca7-4d17-8b6b-ffd99ecb0342 · inbound

Forecasting threshold exceedance of atmospheric variables at a specific location cites this paper.

Forecasting threshold exceedance of atmospheric variables at a specific location Machine Learning for Precipitation Nowcasting from Radar Images

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:12:37.714703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-06-28T20:06:28.716502Z digest=sha256:3c7672cf5f283903746751a51832340aa6e23e3051cebe96fa0a78b1a7fcb863

Observation 8da167b6-309d-4024-9f3b-c7faf893d5a8 · inbound

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers cites this paper.

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers Machine Learning for Precipitation Nowcasting from Radar Images

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:12:50.370232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-06-28T23:15:03.679924Z digest=sha256:d42a348e4f13cb1be13ab9fff69cc41e37543c40c67fb94c943e8a32d31a885f

Observation ffe04939-59a9-4edf-9def-5b9ded6214a1 · inbound

Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks cites this paper.

Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks Machine Learning for Precipitation Nowcasting from Radar Images

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-26T22:20:09.585160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=arxiv_source observed=2026-06-26T22:19:42.637804Z digest=sha256:83dd7bd75bb376186ad5adfa5d2e45e6c690222a10091f16db2ded0e89ee4ece