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Paper Citation Record · LEDGER

DV365: Extremely Long User History Modeling at Instagram

As of 14 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 2026-08-14T06:32:32.682623+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:e334d27bc6da74463c610b48a534ba0c9121915f6c8aad2b49d94f2740870839

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:d7a6678bc63bc6eb1f7f3e7d1516e428069a3943d1d3a6540f4715c75008b1ea

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:50.471622Z digest=sha256:e6114e8aadec65baab374c969ec7e179055a33b617d75f98278a153043c2f19d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:50.605097Z digest=sha256:ae52ab741c311c831dad38e9e2e4a660c2f5195e0ce602cd262a93feee6a1beb

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=sha256:46e5e59190c141223bc2feba1d740691526db7244213c9251c40ad4205362b9a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:50.788297Z digest=sha256:3f95f13cceb711c408c17715352f2b42818d9b3341b965cf247ee676a1581aef

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:cfd7caf89ab3d91447c598b16de426b1ea8b50f78f3535ea23de90ec5d8e06e8

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:d1338f8802234b39da91b732344cfd60dfc0c5a8615ae423b9f4869ee2ab290d

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=sha256:8c8fc43388cfcf5106a2383134da042ebfafbb20c1df68d4d948c94eaa96ea2a

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=sha256:3cfbd225adf4faa7faf6ef0546a215752d7fc9dbbb6cdbc88061109abc1f12bb

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=sha256:8ab1e29270e9636d984ee3bcaace004684ef0e95aa89d6876a8e306a496ac680

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=sha256:40142d0c2a90730e7861efbaadadb4bd28a174193eca04851c896d7de95b4524

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:51.487605Z digest=sha256:c12aaf41d0cb4cba36a2435444fd5af67729ee974c5a4fc111aa6211d0822638

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:51.609982Z digest=sha256:fea95b220eeeac804ae4048866b30bf5237e7fbe7577fb5b50d2ca2e41f586b0

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=sha256:759f2296c5004d84038405421c25f21eaa61252e97b730207425dac582e159b1

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=sha256:0fe0c66a704ce0968cf545310e522346bdfedaeb06a4385891a17cedc0c28da6

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=sha256:477a5895993e5bd1963fd48d065d9645d6234daf24e49c52a96bce42cb85e70a

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=sha256:8d4fbd4c7ff176114603ba58b8f0dfb3005a3ddd78921db34606e75a97c358e1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:53.412978Z digest=sha256:a0942764373a83f52e49c4d46cdd7c5bf140f5f14b700e734cf69a5d8be1f1a3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:09:51.965773Z digest=sha256:8dcc51b728a44d4ee06eebd562672aa62df9227a68e6157ed9231444490b97c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:13:46.622289Z digest=sha256:905e262b35f5e347392c2a73544f5a51c391a61dfba511b049512ae56a54cd1b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T10:27:47.543575Z digest=sha256:adb91985f59046610d03cf2dfef11b4698544e6b412491dd556a22683201da22

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T22:00:13.334443Z digest=sha256:fa59ebb025b785e84fed0ba0a87c1b31f18fad2737ad618497405a97c9bcb636