Paper Citation Record · LEDGER

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.16357.

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

pith.paper-citation-record.v1
2407.16357 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:31.915813Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:49:41.516586Z

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 f2cb7a8d-2af5-4edd-9fc4-cc32e8f63423 · inbound

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform cites this paper.

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:31.915813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3740cdb9-4c97-4c36-8f77-adfce6b46759 · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:13.383422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 130a8b38-c5ab-4001-9195-f528c73c5396 · inbound

Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction cites this paper.

Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:49:41.522069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5aac34fa-b097-4ce1-be9e-f6a259c4d5f1 · inbound

Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling cites this paper.

Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:56:26.709634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.