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Paper Citation Record · LEDGER

An Empirical Study: Extensive Deep Temporal Point Process

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.09823.

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

pith.paper-citation-record.v1
2110.09823 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:50:48.156432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:05:46.716594Z

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 c94adb2e-cff9-40e1-987b-7d1849b7a4ec · inbound

EventFlow: Forecasting Temporal Point Processes with Flow Matching cites this paper.

EventFlow: Forecasting Temporal Point Processes with Flow Matching An Empirical Study: Extensive Deep Temporal Point Process

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:05:46.719878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-23T19:05:12.933364Z digest=sha256:ecb7c83c2f2bd0c67816e4a384e52d39c53396c5337bfb52f46913078280df14

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

Neural Spatiotemporal Point Processes: Trends and Challenges cites this paper.

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.

source=pdf_text observed=2026-08-07T21:50:48.156432Z digest=sha256:78cd22cd2ebd843f2523dda094f7b5fae29a5872126d253f993a4fd7bd02713a

Observation 44915e8c-1f40-4e74-b94f-8f1ebf7e90f2 · inbound

In-Context Learning of Temporal Point Processes with Foundation Inference Models cites this paper.

In-Context Learning of Temporal Point Processes with Foundation Inference Models An Empirical Study: Extensive Deep Temporal Point Process

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:15.575233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:15.575233Z digest=sha256:fc45fd70352744b9b36aae3c74f9ef4ef8f4399da27d67a0af07958d5e4254ad