Paper Citation Record · LEDGER

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.05646.

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

pith.paper-citation-record.v1
2607.05646 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T04:24:12.358947Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 252a0d33-5536-497b-90b1-4edca5fc9e57 · outbound

This paper cites A real-time whole page personalization framework for e-commerce.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions A real-time whole page personalization framework for e-commerce

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45a6b52-53f6-4ba1-b399-932f782aa4bf · outbound

This paper cites Digital transformation: A multidisciplinary reflection and research agenda.Journal of business research, 122:889–901, 2021.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Digital transformation: A multidisciplinary reflection and research agenda.Journal of business research, 122:889–901, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13eeda58-c1c5-4b5e-bb6f-f2cc957a62d5 · outbound

This paper cites Dynamic customer journey analysis and its advertising impact.Journal of Strategic Marketing, pages 1–20, 2023.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Dynamic customer journey analysis and its advertising impact.Journal of Strategic Marketing, pages 1–20, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58feebc4-b229-4eb4-a09c-d29446d93a26 · outbound

This paper cites Understanding customer experience throughout the customer journey.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Understanding customer experience throughout the customer journey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd69e2c7-9c81-4ba6-bc09-bbdfc69aa860 · outbound

This paper cites The need for marketing automation: A review.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions The need for marketing automation: A review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7668b388-5f1b-48e9-b3df-b685b3675d02 · outbound

This paper cites The effectiveness of triggered email marketing in addressing browse abandonments.Journal of Interactive Marketing, 55(1):118–145, 2021.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions The effectiveness of triggered email marketing in addressing browse abandonments.Journal of Interactive Marketing, 55(1):118–145, 2021

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c5a6b4d-91a4-4c34-a057-27ab3baa0d27 · outbound

This paper cites Cambridge University Press, 2020.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Cambridge University Press, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c947d69d-3236-44e2-8912-7d30a772de9b · outbound

This paper cites an unresolved cited work.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e9569fc-4c3b-4325-8d6b-91fe3586bfaf · outbound

This paper cites Trustworthy online controlled experiments: Five puzzling outcomes explained.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Trustworthy online controlled experiments: Five puzzling outcomes explained

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863fa5e1-1a9c-417a-8ace-ee1e45fc0b65 · outbound

This paper cites Causal inference for time series analysis: Problems, methods and evaluation.Knowledge and Information Systems, 63(12):3041–3085, 2021.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Causal inference for time series analysis: Problems, methods and evaluation.Knowledge and Information Systems, 63(12):3041–3085, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ca6d68-db4d-4d2a-89b1-c8c5f413ee5a · outbound

This paper cites Inferring causal impact using bayesian structural time-series models.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Inferring causal impact using bayesian structural time-series models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9505ec-fc91-4667-8368-6f6a9f78055a · outbound

This paper cites Predicting the present with bayesian structural time series.International Journal of Mathematical Modelling and Numerical Optimisation, 5(1-2):4–23, 2014.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Predicting the present with bayesian structural time series.International Journal of Mathematical Modelling and Numerical Optimisation, 5(1-2):4–23, 2014

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74664a58-d23f-4298-952c-93d03274b210 · outbound

This paper cites Chapman and Hall/CRC, 1994.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Chapman and Hall/CRC, 1994

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b3a9057-0f15-4477-a6d6-f37c3eb5f228 · outbound

This paper cites John wiley & sons, 2020.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions John wiley & sons, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22c5630-76f0-49cb-88a1-f31d62cbb49c · outbound

This paper cites Anomaly detection: A survey.ACM computing surveys (CSUR), 41(3):1–58, 2009.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Anomaly detection: A survey.ACM computing surveys (CSUR), 41(3):1–58, 2009

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320ef8f8-3398-446d-9130-74ba6ccdd71c · outbound

This paper cites Prentice hall Englewood Cliffs, 1993.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Prentice hall Englewood Cliffs, 1993

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce2aeeb-19de-4d9e-82f6-2c64d29cf914 · outbound

This paper cites Out-of-sample tests of forecasting accuracy: an analysis and review.International journal of forecasting, 16(4):437–450, 2000.

Sensitivity and Early Detection of Bayesian Causal Impact Models for Marketing Interventions Out-of-sample tests of forecasting accuracy: an analysis and review.International journal of forecasting, 16(4):437–450, 2000

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T04:24:12.358947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.