Paper Citation Record · LEDGER

Feature Staleness Aware Incremental Learning for CTR Prediction

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.02844.

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

pith.paper-citation-record.v1
2505.02844 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:48.568041Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy29
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cad13ae-34b8-4729-a4c9-2529f5fcc6f0 · outbound

This paper cites Streaming Recommender Systems.

Feature Staleness Aware Incremental Learning for CTR Prediction Streaming Recommender Systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.977082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 159d399b-fb9b-4bae-9054-3867c454e0e4 · outbound

This paper cites Deep Time-Aware Item Evolution Net- work for Click-Through Rate Prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction Deep Time-Aware Item Evolution Net- work for Click-Through Rate Prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.908302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f12aab58-6f9c-4770-aada-1753ecf66e96 · outbound

This paper cites Real- time top-n recommendation in social streams.

Feature Staleness Aware Incremental Learning for CTR Prediction Real- time top-n recommendation in social streams

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.895999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7589ed55-e574-4de3-b1a3-fa2cfdfee4dc · outbound

This paper cites Deep Interest Network for Click-Through Rate Prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction Deep Interest Network for Click-Through Rate Prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.869339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89c7e62a-93ae-4ce5-a6b7-ec03fdd4a11c · outbound

This paper cites Self-Attentive Sequential Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Self-Attentive Sequential Recommendation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.844868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14bb5334-439a-4291-96ed-15f3701c9e5f · outbound

This paper cites Overcoming catastrophic forgetting in neural net- works.

Feature Staleness Aware Incremental Learning for CTR Prediction Overcoming catastrophic forgetting in neural net- works

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.830755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a152e676-f8ff-4ce8-92e5-9be387df3a39 · outbound

This paper cites Neural Attentive Session-based Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Neural Attentive Session-based Recommendation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.801797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb76dbcd-d5f0-4f73-b7c0-2b6727d26a7b · outbound

This paper cites Memory Augmented Neural Model for Incremental Session-based Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Memory Augmented Neural Model for Incremental Session-based Recommendation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.790113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3cba718-6abf-44bc-afa6-0d934d43d877 · outbound

This paper cites ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.778581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10e24cb5-67aa-46e6-9b11-3ba5dc9c4154 · outbound

This paper cites Learning an Adaptive Meta Model- Generator for Incrementally Updating Recommender Sys- tems.

Feature Staleness Aware Incremental Learning for CTR Prediction Learning an Adaptive Meta Model- Generator for Incrementally Updating Recommender Sys- tems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.766555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3726e844-78b4-440e-a33c-0921e8ab414e · outbound

This paper cites Factorizing person- alized Markov chains for next-basket recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Factorizing person- alized Markov chains for next-basket recommendation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.744994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66f5977f-b2e2-43ed-bdbd-dcf36b80826a · outbound

This paper cites Deep & Cross Network for Ad Click Predic- tions.

Feature Staleness Aware Incremental Learning for CTR Prediction Deep & Cross Network for Ad Click Predic- tions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.691414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d46e569-6c5e-42bc-8c1c-945098319759 · outbound

This paper cites A Practical Incre- mental Method to Train Deep CTR Models.

Feature Staleness Aware Incremental Learning for CTR Prediction A Practical Incre- mental Method to Train Deep CTR Models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.679353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6002593d-5985-4aa0-8182-25facc0a21bc · outbound

This paper cites Real-Time Bidding Benchmarking with iPinYou Dataset.

Feature Staleness Aware Incremental Learning for CTR Prediction Real-Time Bidding Benchmarking with iPinYou Dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.666723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f9c73f34-3956-41a7-9ca4-f0ec2c534762 · outbound

This paper cites Incremental learning for multi-interest sequential recom- mendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Incremental learning for multi-interest sequential recom- mendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.642543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68188f97-af31-42d3-b43b-fa38808eb137 · outbound

This paper cites Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.618734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b28087ac-a82d-4a35-8d1f-a6568dcfc3a0 · outbound

This paper cites TeRec: a temporal recommender system over tweet stream.

Feature Staleness Aware Incremental Learning for CTR Prediction TeRec: a temporal recommender system over tweet stream

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.934606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08005c04-81f9-4a49-89c3-c2d4d3589add · outbound

This paper cites BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Feature Staleness Aware Incremental Learning for CTR Prediction BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.731575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c29bdbae-523c-491e-a410-b99a9cbe5f45 · outbound

This paper cites Kingma, 2015] Jimmy Lei Ba Diederik P.

Feature Staleness Aware Incremental Learning for CTR Prediction Kingma, 2015] Jimmy Lei Ba Diederik P

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.882767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d96fd82-ba7b-4cb1-83da-30f1c51b9c74 · outbound

This paper cites Adaptive factorization network: Learning adaptive-order feature interactions.

Feature Staleness Aware Incremental Learning for CTR Prediction Adaptive factorization network: Learning adaptive-order feature interactions

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.921754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 206b8c79-1d5b-45e3-b96b-046e944ce3fc · outbound

This paper cites Time-aware multi-interest capsule network for sequential recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Time-aware multi-interest capsule network for sequential recommendation

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.654663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12b57185-17ce-480a-bedc-4a94aad064e3 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T05:31:48.486466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a256b62c-7350-431a-87d2-0ae7494fd11a · outbound

This paper cites Deep Crossing: Web-Scale Model- ing without Manually Crafted Combinatorial Features.

Feature Staleness Aware Incremental Learning for CTR Prediction Deep Crossing: Web-Scale Model- ing without Manually Crafted Combinatorial Features

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.815370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 148e7f6c-cc7b-4f1b-bd63-05db3f1b5ab1 · outbound

This paper cites Time Interval Aware Self-Attention for Se- quential Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Time Interval Aware Self-Attention for Se- quential Recommendation

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.963589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6465a34e-05e7-4cb1-9026-855639e6fe37 · outbound

This paper cites Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.856483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e163e364-a53a-44e5-aa51-b2abc75671cc · outbound

This paper cites Self-supervised continual graph learning in adaptive riemannian spaces.

Feature Staleness Aware Incremental Learning for CTR Prediction Self-supervised continual graph learning in adaptive riemannian spaces

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.718439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edf036fd-6bf8-4968-b68b-69fb2b808a28 · outbound

This paper cites Maximum coverage problem with group budget con- straints and applications.

Feature Staleness Aware Incremental Learning for CTR Prediction Maximum coverage problem with group budget con- straints and applications

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.947910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b26ee98-50d6-40df-a02e-339e59e19dc6 · outbound

This paper cites Product- based neural networks for user response prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction Product- based neural networks for user response prediction

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.755789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56cde22a-0081-4424-a48f-0d4da91f0df7 · outbound

This paper cites Streaming Session-based Recommendation.

Feature Staleness Aware Incremental Learning for CTR Prediction Streaming Session-based Recommendation

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.703893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3d9180e-0d74-4f88-a6df-4ebc3bc306e2 · outbound

This paper cites Deep Interest Evolution Network for Click-Through Rate Prediction.

Feature Staleness Aware Incremental Learning for CTR Prediction Deep Interest Evolution Network for Click-Through Rate Prediction

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:31:48.630402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.