Paper Citation Record · LEDGER

A Deep Probabilistic Model for Customer Lifetime Value Prediction

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1912.07753.

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

pith.paper-citation-record.v1
1912.07753 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:39:29.772816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:42:49.623924Z

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 a59d6ce3-b26a-4f33-b43d-0b49fdf011cd · inbound

Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout cites this paper.

Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:45:38.597136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e60959-eb18-46c8-a8d5-4ad5a2a0db71 · inbound

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy cites this paper.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:37.486353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb84caa9-ccb0-4f54-a107-cd7eb60e0cd1 · inbound

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising cites this paper.

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:01:50.264414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15321ee6-f240-4942-b659-650bbbef9a56 · inbound

Mini-Game Lifetime Value Prediction in WeChat cites this paper.

Mini-Game Lifetime Value Prediction in WeChat A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:18.006115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729ba9a7-fe30-479c-a99e-774f1e7e51c6 · inbound

VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales cites this paper.

VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:18:17.265567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df257ec5-e2f5-4577-8d77-d882d2efd22d · inbound

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression cites this paper.

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.625160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1548f118-cb6b-43c8-a54b-9469a39d2647 · inbound

Certifying What Helps Customer-Return Timing: A Screen-and-Confirm Test for Conditioning Signals, and Why Decay Is Nearly Enough cites this paper.

Certifying What Helps Customer-Return Timing: A Screen-and-Confirm Test for Conditioning Signals, and Why Decay Is Nearly Enough A Deep Probabilistic Model for Customer Lifetime Value Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:39:29.772816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.