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Paper Citation Record · LEDGER

DV365: Extremely Long User History Modeling at Instagram

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.

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 2026-08-09T06:31:02.800959+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.

source=pdf_text observed=2026-08-07T12:09:50.293616Z digest=sha256:9f10c36e6b9fd6b2c2b6738ae54c7ad636ad882c9f652b7ef53a1b434bb23936

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.

source=pdf_text observed=2026-08-07T12:09:50.361739Z digest=sha256:0874a36c8a9c314105fc456cae37d3489f414dcdc53c09faefe8448480c13b3c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:50.471622Z digest=sha256:c31408ecfb1765ba71006de8e29a3651e593ed0f08ddb845ada8e15214c46cb6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:50.605097Z digest=sha256:db646a4a43eac5ddbb6836d663eef5c87aa164f1aee21f6822e132562be36b91

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.

source=pdf_text observed=2026-08-07T12:09:50.716137Z digest=sha256:85d11d50b04af3a20f207fff63289e825614a05d1cc17825fc7a1444d0d03cf0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:50.788297Z digest=sha256:dd4d244d201f5af7d49e10576dd543c08ffa8663d64d6c18f6019fa5b75dde53

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.

source=pdf_text observed=2026-08-07T12:09:50.878202Z digest=sha256:91db0cf3d4fa6a0a4498bb34829e8234946f564ac009018cdb95f8cba86d6f5d

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.

source=pdf_text observed=2026-08-07T12:09:50.957775Z digest=sha256:f36b89994cd0828f1c2598538c6e8c1457f627f2c8943681ff14357242cff55d

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.

source=pdf_text observed=2026-08-07T12:09:51.059005Z digest=sha256:92b25e2279421e0133c4cd4f359bd88d2a1f8efaff706c0640ba30b254efb0b0

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.

source=pdf_text observed=2026-08-07T12:09:51.164266Z digest=sha256:fd7fc4576b0d1611c8becf27e28e8162755321a356e8253ac681cd5ad0c43dfc

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.

source=pdf_text observed=2026-08-07T12:09:51.275223Z digest=sha256:70246376e3ef90c5374e32bf6e0638b2d7157818d89ac41b7df4d889c183a60d

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.

source=pdf_text observed=2026-08-07T12:09:51.387491Z digest=sha256:c50bbf1bd23879bc75d77a94a13453da7a337b494fbad5f244c1fcfa2bc58b6c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:51.487605Z digest=sha256:8bcb389eeeea11b413c9d899d3a0bb4c03d6eb3fe8495c335255fb491a26ea70

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:51.609982Z digest=sha256:e6609e5ac52635093d28f77b790bcb83ea27af8f29889d3a4af022ebc483d915

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.

source=pdf_text observed=2026-08-07T12:09:52.599227Z digest=sha256:b5bd90dabf3e15b0873d1ec2fbf0ae3bd4108186a0862345b8738f5a3be1d088

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.

source=pdf_text observed=2026-08-07T12:09:53.057875Z digest=sha256:723bafee56b767c5335506696d90956d5b20f815f4e1462e54a7033dec049dba

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.

source=pdf_text observed=2026-08-07T12:09:53.186967Z digest=sha256:dcee21691a0cf6adaffb5c7d0e4d23c467c774c0fa72e81453decb09ac6de742

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.

source=pdf_text observed=2026-08-07T12:09:53.297946Z digest=sha256:10982b8195747040e3e92be481871ddd0015e345dd155e077759f60791a959ca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:53.412978Z digest=sha256:912c9bc14c28ea882ada1643226a2e75d8fabf25b596585aba7e87e6e2e47811

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:09:51.965773Z digest=sha256:1e30488d9074b1fb90db15a5fc1ff067b92c3caeeea68d45d8d8e459f1126ff9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:13:46.622289Z digest=sha256:70b9b54e89ca64380a2eaeebbc38543dd4ab57fc3ba0d255e7747f6d34b837c4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T10:27:47.543575Z digest=sha256:3a55a93124db44f01adcecaba654d5261ca6992d6b905cd33034408967626ffd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T22:00:13.334443Z digest=sha256:f35be4c1404adf043af531b7fb1d318d62518e8d3ec7e9763bd2358e0fce3d3e