Paper Citation Record · LEDGER

DV365: Extremely Long User History Modeling at Instagram

As of 19 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.

pith.paper-citation-record.v1
2506.00450 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:53.412978Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T10:27:47.543575Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:06.218076Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d7f28f1-f95b-435c-be46-fc41d549efda · outbound

This paper cites Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction.

DV365: Extremely Long User History Modeling at Instagram Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:50.293616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa329241-4167-4be3-bfe7-56488bdbc55a · outbound

This paper cites TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:50.361739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f41b0fa-766f-415e-9a29-a242115a174f · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:55.166923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6248504-317a-483d-a078-382d8ff2a7f3 · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:54.990097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c22aa69b-2133-4359-94bc-f5c2b2a986fb · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:50.716137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af1d119-0498-4518-9d20-2b11b0e40e6e · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:54.807495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85ebea69-621a-4a5e-b205-a1dc29eee9d0 · outbound

This paper cites Self-Attentive Sequential Recommendation.

DV365: Extremely Long User History Modeling at Instagram Self-Attentive Sequential Recommendation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:50.878202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69899198-cc9b-4fe7-a9d1-477b4be3704d · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:50.957775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc6f835-2ff6-48d8-a4aa-ad409b8eb9a0 · outbound

This paper cites PinnerFormer: Sequence Modeling for User Representation at Pinterest.

DV365: Extremely Long User History Modeling at Instagram PinnerFormer: Sequence Modeling for User Representation at Pinterest

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:51.059005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f60145-1755-4f08-b9ee-ed3484e2bce8 · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:51.164266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 8348cc83-cecc-411d-bb9c-a7741ada2fb8 · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:51.387491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c2907d-3605-4ae8-bfef-ffdb406cf151 · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:54.597758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 153178f6-2b63-4ea4-bb18-69879748e8db · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:09:54.443976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ccd317c-e2f3-40f3-8174-68d8c5698d68 · outbound

This paper cites an unresolved cited work.

DV365: Extremely Long User History Modeling at Instagram Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:52.599227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3694b29-c3b8-4cf6-ae28-8359ef182424 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

DV365: Extremely Long User History Modeling at Instagram Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.057875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03ed18a-601a-4174-8269-20d3bdd8c80f · outbound

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

DV365: Extremely Long User History Modeling at Instagram Deep Interest Evolution Network for Click-Through Rate Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.186967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5df94e-cc29-4b89-83f8-d45a535d7e48 · outbound

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

DV365: Extremely Long User History Modeling at Instagram Deep Interest Network for Click-Through Rate Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.297946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b264e5-39d1-43c8-9f40-23c429d068e9 · outbound

This paper cites To further assess the stability of the DV365 embeddings over time, we analyzed the cosine similarity between different embed- ding versions.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:09:54.293369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d283e0d-7860-4a44-9a8a-c498d3841e31 · outbound

This paper cites Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling.

DV365: Extremely Long User History Modeling at Instagram Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:09:53.739947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation d791141b-c651-40b9-beec-f310b799b1d9 · inbound

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders cites this paper.

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders DV365: Extremely Long User History Modeling at Instagram

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:03.755352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 613ac35e-9199-43b4-8454-bb85d0641618 · inbound

Fine-Tuned LLM as a Complementary Predictor Improving Ads System cites this paper.

Fine-Tuned LLM as a Complementary Predictor Improving Ads System DV365: Extremely Long User History Modeling at Instagram

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:28.710313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a57f6298-612b-48ce-beac-e1db0902a2a2 · inbound

TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems cites this paper.

TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems DV365: Extremely Long User History Modeling at Instagram

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:00:06.219755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.