Paper Citation Record · LEDGER

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.16095.

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

pith.paper-citation-record.v1
2411.16095 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:37.581803Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy21
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 013b2055-625e-4573-bd9f-10aa3bb2ed04 · outbound

This paper cites Cost per action and optimized cost per mille, 2012.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Cost per action and optimized cost per mille, 2012

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.102264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 953fdbbc-5f2a-48d7-9c10-a366ca553861 · outbound

This paper cites A personalized automated bidding framework for fairness-aware online advertising.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy A personalized automated bidding framework for fairness-aware online advertising

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.085909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 495ef476-7035-4d6a-8492-a367c9b4ce8d · outbound

This paper cites Estimating conversion rate in display advertising from past performance data, July 31 2018.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Estimating conversion rate in display advertising from past performance data, July 31 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.070553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1102d16a-a4e9-4c6d-be06-e17aa7b5be72 · outbound

This paper cites Modeling delayed feedback in display advertising.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Modeling delayed feedback in display advertising

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.054131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca032fa1-9aa4-4c48-8886-10ed690cf15c · outbound

This paper cites Estimating con- version rate in display advertising from past erformance data.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Estimating con- version rate in display advertising from past erformance data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.032419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ace5eb7-9ab1-4cdb-a7bb-8b3c0e53d2f5 · outbound

This paper cites Calibrating user response predictions in online advertising.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Calibrating user response predictions in online advertising

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:38.014668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a8715d9-447f-406f-8119-1fe57bde7e47 · outbound

This paper cites Posterior probability matters: Doubly-adaptive calibration for neural predictions in online advertising.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Posterior probability matters: Doubly-adaptive calibration for neural predictions in online advertising

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.994493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2000625e-f501-4e6d-9bd7-aa19bf5ce990 · outbound

This paper cites MBCT: tree-based feature-aware binning for individual uncertainty calibration.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy MBCT: tree-based feature-aware binning for individual uncertainty calibration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.976932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

This paper cites A Deep Probabilistic Model for Customer Lifetime Value Prediction.

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 e6334a8c-bbf2-4599-b770-f9ef14c5461d · outbound

This paper cites Out of the box thinking: Improving customer lifetime value modelling via expert routing and game whale detection.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Out of the box thinking: Improving customer lifetime value modelling via expert routing and game whale detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.958450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation caf0f9af-a465-44d5-b71d-276dfbe47e17 · outbound

This paper cites Deep neural networks for youtube recommendations.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Deep neural networks for youtube recommendations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.939717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48e1fe7c-9649-44f4-a668-2290e0c1a770 · outbound

This paper cites Billion-user customer lifetime value prediction: an industrial-scale solution from kuaishou.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Billion-user customer lifetime value prediction: an industrial-scale solution from kuaishou

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.918937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68983cb6-6627-4c93-8d6c-7c18bbcad5d1 · outbound

This paper cites Cread: A classification-restoration framework with error adaptive discretization for watch time prediction in video recommender systems.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Cread: A classification-restoration framework with error adaptive discretization for watch time prediction in video recommender systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.886712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c686624-cf66-4e3e-80c1-848639f1e2dc · outbound

This paper cites Tree based progressive regression model for watch-time prediction in short- video recommendation.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Tree based progressive regression model for watch-time prediction in short- video recommendation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.855111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1004ddbe-501d-4ddb-8c9a-375e7ce43eb9 · outbound

This paper cites Deconfounding duration bias in watch-time prediction for video recommendation.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Deconfounding duration bias in watch-time prediction for video recommendation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.834257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9473d9ef-5e0e-4bca-8084-d8018494828a · outbound

This paper cites Uncertainty-aware probabilistic travel time prediction for on-demand ride-hailing at didi.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Uncertainty-aware probabilistic travel time prediction for on-demand ride-hailing at didi

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.814524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8c49991-a47d-4484-8149-82dddc067fdc · outbound

This paper cites Adaptive mixtures of local experts.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Adaptive mixtures of local experts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:37.536526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfed07aa-fd37-4480-8630-cbf40eb39488 · outbound

This paper cites Deep expectation of real and apparent age from a single image without facial landmarks.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Deep expectation of real and apparent age from a single image without facial landmarks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.770978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc53bf86-1b4a-4dde-870c-18724e7ebb86 · outbound

This paper cites A constrained deep neural network for ordinal regression.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy A constrained deep neural network for ordinal regression

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.745790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 905135a8-551f-4529-80c1-95e101a61635 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Deep ordinal regression network for monocular depth estimation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.724731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28b362ab-fa3b-4cb5-a8ff-26a23939caf3 · outbound

This paper cites Soft labels for ordinal regression.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Soft labels for ordinal regression

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.703334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c16c4815-712d-4562-88da-901346a0174b · outbound

This paper cites Mean-variance loss for deep age estimation from a face.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Mean-variance loss for deep age estimation from a face

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.685407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cceb18e-d21e-44f8-b81e-e3e549451491 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:37.577203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae657fa-23a7-4371-9cc4-5962673fac5d · outbound

This paper cites Self-normalizing neural networks.

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy Self-normalizing neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:37:37.666499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.