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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.461940Z digest=sha256:6dfef172e23a2a99d31c6068dde64a5783fcc2a9dcafba8486e8d9b4e045bb23

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.466936Z digest=sha256:0fb37b684fe1982400760d280775d02d1de7a5e7a9362958a35eb1f90166cb51

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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.477158Z digest=sha256:f38ef1644e5f28cff96ed5cf3723f58141ee26ece60271d4882b5cf3c6f6181f

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.481800Z digest=sha256:277bf59286e9dd479a4a0da0a6f68628a6472f74c14a75f856a721750b01d29e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:37:37.486353Z digest=sha256:23502e3e6a9d415f2b47a9ad8eeb5d9ea571139b878bdb3eabe7d9be56bc6f65

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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.496009Z digest=sha256:87aff2180593434dd65e6da4aa4bc066e01debb0f95fec3568cba2640fb95876

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.501344Z digest=sha256:33cef304b70e1dfd6f4d27aa56cc205e6ce592262b3b9cc6957dff9a51322a70

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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.517278Z digest=sha256:b8e507181ce10882cf74fb70f0229414afbff360d1cbefadc8758d26fa51ffd8

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.523838Z digest=sha256:aabb828e2246a13242bc413a8527beeb3c811508e0c9e70591c1b83d908a75dd

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.529785Z digest=sha256:e87ae8ec2dcd5e57085bbbf0f55e430e7956872d043deae9cc3220a5843ab596

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.554901Z digest=sha256:08fdcd5690714552e9484357ebf3471e9217c47a5655c0b4dabace38c4456c80

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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

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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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:37.571849Z digest=sha256:895268722ce0b3375827e99a9803ec9bfcc4072edde65c501fa9d83d1c0a3d10

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:37:37.577203Z digest=sha256:f9d87f282d9b5387ecf23fd14098d6ca54ce628e633997d78443118852bca0be

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 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.