Paper Citation Record · LEDGER

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

As of 2 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 3 inbound Pith citation observations for arXiv:2604.17878.

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

pith.paper-citation-record.v1
2604.17878 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:14:03.733251Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:07:54.732915Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-01T12:16:17.934468Z

Reference resolution

44 of 44 outbound references displayed

verified exact13
verified fuzzy3
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ad30a42-a375-40eb-b21e-f72c2d0e01b4 · outbound

This paper cites GPT-4 Technical Report.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:17:29.412604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 32bf1375-a8c1-4e0b-ad73-d3ac043a0a1e · outbound

This paper cites Understanding Scaling Laws for Recommendation Models.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Understanding Scaling Laws for Recommendation Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.441108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 077ee387-fb5d-442e-97d1-a9d0edc64fdd · outbound

This paper cites A Cookbook of Self-Supervised Learning.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems A Cookbook of Self-Supervised Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.418473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 589978e2-e0ae-48ee-8d57-f000fd7fdbd9 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:29:29.418753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation bd4e7cf6-fa4c-48d0-8f6f-a3d7baeedf09 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.811878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 24f38009-2458-4bff-b2f1-3c07ea63c519 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.801056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 1b3b4a0b-11db-4d68-96cb-60b143a338a2 · outbound

This paper cites InProceedings of the 1st workshop on deep learning for recommender systems.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems InProceedings of the 1st workshop on deep learning for recommender systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T08:32:33.808349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3c2e87e2-811c-4df9-9ab5-3e93d2849225 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.818979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 53ac2621-49eb-4339-9bc1-855f63110ade · outbound

This paper cites 1999.Elements of information theory.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems 1999.Elements of information theory

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T08:32:33.804710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation e64c7063-e451-436c-b90e-85899a2a1e17 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.815113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 27943f23-ea4f-4b7e-817b-d423afcfe84b · outbound

This paper cites Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.434971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b421efdf-e9d1-40f8-8ae9-bd6ae1f7a8c3 · outbound

This paper cites On the Embedding Collapse when Scaling up Recommendation Models.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems On the Embedding Collapse when Scaling up Recommendation Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.446745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c44b7fe0-9f88-464d-9b8b-b99590713bfb · outbound

This paper cites Unimixer: A unified architecture for scaling laws in recommendation systems.arXiv preprint arXiv:2604.00590, 2026.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unimixer: A unified architecture for scaling laws in recommendation systems.arXiv preprint arXiv:2604.00590, 2026

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.452068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 6eff1037-fe94-4c8d-af0f-838d7d390bb6 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.860256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 66b333c0-84f4-417c-9981-1397da9544e9 · outbound

This paper cites MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:16:49.181066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation efbc4ee2-0d12-4f46-8e66-c895dc804ed4 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.389174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d82a813b-6ef2-425b-b0ce-da3d0a50a6cb · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.852654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9cec4e66-7ae3-40f5-b489-a10703e3b3d3 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.856702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 4fb73ee1-3c43-44ea-bedc-5d3051f52076 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.863739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 405ea178-6195-4638-a340-83c3d77b1f36 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.845696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9136802b-2888-4b77-8dfe-1100d3495ef1 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.849277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c6324d13-bae4-441e-8fca-4f86a3e58ebd · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.839722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 77743d2d-6112-4409-8b16-2ee25b5f98c2 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.835746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 999a4e5d-962e-4b95-990f-ac149f6346a0 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.842750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d5a35429-2bec-4d47-b85e-b483f927e1db · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.867000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0a7a4e99-4666-4189-8bd5-d0a470ecc02a · outbound

This paper cites GLU Variants Improve Transformer.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems GLU Variants Improve Transformer

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:17:29.376117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3caa52ff-a081-4169-a08f-0ffd44161294 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.870331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation eeaf1dd7-06f8-4ec0-b5c2-446d9fb965b6 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.873983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f54491c5-ad02-4403-a3d3-532795b8312e · outbound

This paper cites InInterna- tional conference on machine learning.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems InInterna- tional conference on machine learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T08:32:33.822869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 12e81f96-1e95-4bb6-80d9-82a93bdb63e1 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.884999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c2072eec-6fae-4e0e-8200-6247ae6d2b18 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.829342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 42e9bd3a-f08e-47f3-89cc-2da87e6c944a · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.832675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3305f1e7-2580-4de5-83bf-1ffde32b735c · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.826182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c74cbfa5-f369-4f6a-be9a-e3014bc734bd · outbound

This paper cites Attention Layers Add Into Low-Dimensional Residual Subspaces , url =.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Attention Layers Add Into Low-Dimensional Residual Subspaces , url =

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.366865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation cfc3fe0e-e9c3-4e90-a5fc-1a68fd113e27 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.877372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d8fd9f2d-1604-4e0b-801a-6d3bca0a2002 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Linformer: Self-Attention with Linear Complexity

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:17:29.401548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ddb7a519-297a-4cb9-8f57-68c791e3188e · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.908603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 136a4e46-e9e7-45e0-8b5f-7b70d02ae82d · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.905083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ea643a4e-1e84-4714-ac3d-1d7d69c43864 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.911934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 692a83df-da09-4c4f-b654-20923943db15 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.918746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 24b86c81-89fb-469d-9af7-a792c2df2b95 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.898110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c734f2d5-3168-4f2f-8988-0e8cf7335a9b · outbound

This paper cites Large Foundation Model for Ads Recommendation.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Large Foundation Model for Ads Recommendation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.371972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation ba66dccf-ae6b-4892-8ebe-78cdc2de0628 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.888831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 21a63f13-de16-490f-bfce-0b71f4846527 · outbound

This paper cites an unresolved cited work.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-13T08:32:33.892537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Pith citing papers

Observation bdc47813-0010-4c10-b6d7-449cefb400ea · inbound

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction cites this paper.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-01T11:08:26.220617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3fbfc8eb-69d1-48f8-868f-6444c06a7e48 · inbound

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T23:20:18.391516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad268ba7-8e11-4c2d-ade8-24d33f715c87 · inbound

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent cites this paper.

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T18:47:39.027418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.