Paper Citation Record · LEDGER

Neural Spatiotemporal Point Processes: Trends and Challenges

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2502.09341.

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

pith.paper-citation-record.v1
2502.09341 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:50:48.176910Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T01:05:16.758811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:06.473889Z

Reference resolution

12 of 12 outbound references displayed

verified exact5
verified fuzzy1
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39704708-ea56-407f-a0ad-cb49c115250e · outbound

This paper cites Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs.

Neural Spatiotemporal Point Processes: Trends and Challenges Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:50:48.291480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0efa67c6-1fa4-452a-8870-91412d1213c3 · outbound

This paper cites Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View.

Neural Spatiotemporal Point Processes: Trends and Challenges Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.151859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d49569-0a5e-4ab2-ab2b-97ee2e9e1b94 · outbound

This paper cites An Empirical Study: Extensive Deep Temporal Point Process.

Neural Spatiotemporal Point Processes: Trends and Challenges An Empirical Study: Extensive Deep Temporal Point Process

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.156432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365f433b-f5e3-4c88-b99c-55db29421b15 · outbound

This paper cites Atlanta Gun Violence Modeling via Nonstationary Spatio-temporal Point Processes.

Neural Spatiotemporal Point Processes: Trends and Challenges Atlanta Gun Violence Modeling via Nonstationary Spatio-temporal Point Processes

Reference 2003

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:50:48.695491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3baeac9c-0a6b-49b3-ae19-307dbce5fa5f · outbound

This paper cites Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes.

Neural Spatiotemporal Point Processes: Trends and Challenges Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:50:48.307373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 473ddb50-3191-4a8f-b95f-fd45c86990b8 · outbound

This paper cites Discovering Latent Causal Graphs from Spatiotemporal Data.

Neural Spatiotemporal Point Processes: Trends and Challenges Discovering Latent Causal Graphs from Spatiotemporal Data

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.172991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ba4571-49c8-4dd0-8420-6034903424c9 · outbound

This paper cites Lecture Notes: Temporal Point Processes and the Conditional Intensity Function.

Neural Spatiotemporal Point Processes: Trends and Challenges Lecture Notes: Temporal Point Processes and the Conditional Intensity Function

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.164511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c33c7ed1-47cf-4b53-a36b-50625e873067 · outbound

This paper cites Neural Temporal Point Processes: A Review.

Neural Spatiotemporal Point Processes: Trends and Challenges Neural Temporal Point Processes: A Review

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.168834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c97f8f3-3afb-4c1e-b130-b97cc2b18ddf · outbound

This paper cites Exploring Generative Neural Temporal Point Process.

Neural Spatiotemporal Point Processes: Trends and Challenges Exploring Generative Neural Temporal Point Process

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:50:48.250618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a838708-2ad3-4491-aa11-8c27982caca4 · outbound

This paper cites Transformer hawkes process.

Neural Spatiotemporal Point Processes: Trends and Challenges Transformer hawkes process

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:50:48.707550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f0d23ac-844c-4a65-abe9-2b3fb988f308 · outbound

This paper cites Spatio-temporal- network point processes for modeling crime events with landmarks.

Neural Spatiotemporal Point Processes: Trends and Challenges Spatio-temporal- network point processes for modeling crime events with landmarks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T21:50:48.138065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea71cfe-4f18-40ac-8838-15aa93256488 · outbound

This paper cites Spatio-temporal point processes with deep non-stationary kernels.

Neural Spatiotemporal Point Processes: Trends and Challenges Spatio-temporal point processes with deep non-stationary kernels

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:50:48.678108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 17f3ceac-9f77-416f-9def-38fd394a37f2 · inbound

When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting cites this paper.

When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting Neural Spatiotemporal Point Processes: Trends and Challenges

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:06.475192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62d9a0f3-bc0a-455f-9b53-de74ec02a72d · inbound

Manifold Constrained Conformal Prediction for Spatial Events cites this paper.

Manifold Constrained Conformal Prediction for Spatial Events Neural Spatiotemporal Point Processes: Trends and Challenges

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T01:05:16.758811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.