Paper Citation Record · LEDGER

Intensity-Free Learning of Temporal Point Processes

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.12127.

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

pith.paper-citation-record.v1
1909.12127 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:35.797018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:31:33.728842Z

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 af80bebc-be66-4408-9068-192fc9c0aab7 · inbound

A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users cites this paper.

A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users Intensity-Free Learning of Temporal Point Processes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:05:35.797018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1822c23d-1bc1-46ca-b102-0c6f280e9dfc · inbound

HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens cites this paper.

HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens Intensity-Free Learning of Temporal Point Processes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:40.580003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f0724f6-7ec9-45ac-b5f4-fdd33158da43 · inbound

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding cites this paper.

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding Intensity-Free Learning of Temporal Point Processes

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:31:33.732006Z

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 87f38b35-d101-4202-bfad-1f472ad211a7 · inbound

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols cites this paper.

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols Intensity-Free Learning of Temporal Point Processes

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:46.980822Z

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.