Paper Citation Record · LEDGER

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.05639.

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

pith.paper-citation-record.v1
2006.05639 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:51.275223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:24:05.117989Z

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 5920f527-1776-470a-bb49-78215d36a8f8 · inbound

All-domain Moveline Evolution Network for Click-Through Rate Prediction cites this paper.

All-domain Moveline Evolution Network for Click-Through Rate Prediction Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.081805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01882594-cc59-4d94-8cf0-5deb8936c29e · inbound

Beyond the Trigger: Learning Collaborative Context for Generalizable Trigger-Induced Recommendation cites this paper.

Beyond the Trigger: Learning Collaborative Context for Generalizable Trigger-Induced Recommendation Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.537907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c51040ee-fc7c-45fa-bfe4-4ed9e29b9c5d · inbound

DV365: Extremely Long User History Modeling at Instagram cites this paper.

DV365: Extremely Long User History Modeling at Instagram Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:51.275223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d8af43-0f6d-45fd-997a-78b398fb7d77 · inbound

MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction cites this paper.

MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T12:54:22.435718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f5ee9b-8eb0-4ec4-87f5-8a066050d1d1 · inbound

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines cites this paper.

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:46:03.466184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 153d9fd3-2efd-4ea4-a8e5-3a1c1cda7890 · inbound

Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale cites this paper.

Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:01:15.140527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9527b68e-29c0-4407-b727-b67dac29858e · inbound

LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction cites this paper.

LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:43:58.377774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1df6041d-4ad1-42d8-b0db-d79bd2b51f1b · inbound

SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling cites this paper.

SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:24:05.119168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e81459f6-6ba8-49e8-ab8b-166e65541e41 · inbound

Context Features Are Cheap: Rank-Aware Decomposition for Efficient Feature Interaction in Recommender Systems cites this paper.

Context Features Are Cheap: Rank-Aware Decomposition for Efficient Feature Interaction in Recommender Systems Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:14:04.479614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.