Paper Citation Record · LEDGER

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.12144.

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

pith.paper-citation-record.v1
2109.12144 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T14:41:18.515733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:16:13.954955Z

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 34bb7d0e-548f-4518-9d14-81cd4fb2b5c5 · inbound

MoGERNN: An Inductive Traffic Predictor for Unobserved Locations cites this paper.

MoGERNN: An Inductive Traffic Predictor for Unobserved Locations Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:52:34.328042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 145fe281-73c4-4e3e-a251-d7d7e14706cf · inbound

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach cites this paper.

Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T23:42:16.667565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9f40ed5-494f-4905-8482-0035ce8444cf · inbound

Uniform Inductive Spatio-Temporal Kriging cites this paper.

Uniform Inductive Spatio-Temporal Kriging Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:09.750183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39f19258-00dc-4349-b9a7-e0aa20952325 · inbound

Latent-Mark: An Audio Watermark Robust to Neural Codec Compression cites this paper.

Latent-Mark: An Audio Watermark Robust to Neural Codec Compression Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-15T14:41:18.515733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f06667a-ce01-4a37-a9b0-0dfae1ea8f45 · inbound

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand cites this paper.

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:48:15.214518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 201cdc5f-23bd-490b-8844-d1ead3fddb83 · inbound

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks cites this paper.

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T21:16:13.956483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.