Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable Bayesian Inference for Excitatory Point Process Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1507.03228.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:40.687351Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-21T07:59:50.404582Z
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 fd90b175-f6f4-4e37-91c0-9d82d8c6cb7b · inbound
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation cites this paper.
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation Scalable Bayesian Inference for Excitatory Point Process Networks
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:38:40.687351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5e254d5-ab33-4c47-af8f-13f3720cc9f0 · inbound
Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events cites this paper.
Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events Scalable Bayesian Inference for Excitatory Point Process Networks
Reference 234
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:41:10.135338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 82c0754c-80d0-4fbf-853d-a1d922c0f214 · inbound
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling cites this paper.
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling Scalable Bayesian Inference for Excitatory Point Process Networks
Reference 245
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T13:48:19.855251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0299fd48-858d-4eb1-bf13-f44e93a80d7e · inbound
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling cites this paper.
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling Scalable Bayesian Inference for Excitatory Point Process Networks
Reference 245
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T07:59:50.405959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.