Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:53.412978Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2506.00450.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:53.412978Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T10:27:47.543575Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:00:06.218076Z
20 of 20 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3d7f28f1-f95b-435c-be46-fc41d549efda · outbound
DV365: Extremely Long User History Modeling at Instagram Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa329241-4167-4be3-bfe7-56488bdbc55a · outbound
DV365: Extremely Long User History Modeling at Instagram TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f41b0fa-766f-415e-9a29-a242115a174f · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 3
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 d6248504-317a-483d-a078-382d8ff2a7f3 · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 4
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 c22aa69b-2133-4359-94bc-f5c2b2a986fb · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1af1d119-0498-4518-9d20-2b11b0e40e6e · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 6
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 85ebea69-621a-4a5e-b205-a1dc29eee9d0 · outbound
DV365: Extremely Long User History Modeling at Instagram Self-Attentive Sequential Recommendation
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69899198-cc9b-4fe7-a9d1-477b4be3704d · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acc6f835-2ff6-48d8-a4aa-ad409b8eb9a0 · outbound
DV365: Extremely Long User History Modeling at Instagram PinnerFormer: Sequence Modeling for User Representation at Pinterest
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62f60145-1755-4f08-b9ee-ed3484e2bce8 · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c51040ee-fc7c-45fa-bfe4-4ed9e29b9c5d · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8348cc83-cecc-411d-bb9c-a7741ada2fb8 · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02c2907d-3605-4ae8-bfef-ffdb406cf151 · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 13
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 153178f6-2b63-4ea4-bb18-69879748e8db · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 14
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 2ccd317c-e2f3-40f3-8174-68d8c5698d68 · outbound
DV365: Extremely Long User History Modeling at Instagram Unresolved cited work
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3694b29-c3b8-4cf6-ae28-8359ef182424 · outbound
DV365: Extremely Long User History Modeling at Instagram Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f03ed18a-601a-4174-8269-20d3bdd8c80f · outbound
DV365: Extremely Long User History Modeling at Instagram Deep Interest Evolution Network for Click-Through Rate Prediction
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be5df94e-cc29-4b89-83f8-d45a535d7e48 · outbound
DV365: Extremely Long User History Modeling at Instagram Deep Interest Network for Click-Through Rate Prediction
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b264e5-39d1-43c8-9f40-23c429d068e9 · outbound
DV365: Extremely Long User History Modeling at Instagram To further assess the stability of the DV365 embeddings over time, we analyzed the cosine similarity between different embed- ding versions
Reference 20
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 9d283e0d-7860-4a44-9a8a-c498d3841e31 · outbound
DV365: Extremely Long User History Modeling at Instagram Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
Reference 2023
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 d791141b-c651-40b9-beec-f310b799b1d9 · inbound
Efficient Dataset Selection for Continual Adaptation of Generative Recommenders DV365: Extremely Long User History Modeling at Instagram
Reference 5
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 613ac35e-9199-43b4-8454-bb85d0641618 · inbound
Fine-Tuned LLM as a Complementary Predictor Improving Ads System DV365: Extremely Long User History Modeling at Instagram
Reference 9
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 a57f6298-612b-48ce-beac-e1db0902a2a2 · inbound
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems DV365: Extremely Long User History Modeling at Instagram
Reference 25
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.