Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:50:48.176910Z
Paper Citation Record · LEDGER
Neural Spatiotemporal Point Processes: Trends and Challenges
As of 9 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T01:05:16.758811Z
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.