Paper Citation Record · LEDGER

Monolith: Real Time Recommendation System With Collisionless Embedding Table

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2209.07663.

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

pith.paper-citation-record.v1
2209.07663 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:11:32.456543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:55:26.150196Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 03dc2364-6a75-4294-87ab-ea5cbd37d152 · inbound

Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google cites this paper.

Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:11:32.456543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12575196-fd6d-46f4-a34b-dc1f0bcf13dd · inbound

Reinforcement Learning from User Feedback cites this paper.

Reinforcement Learning from User Feedback Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:18.796406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20fe1db-385e-44f1-b4a3-caa7bc29b650 · inbound

DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation cites this paper.

DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:38.672478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3332c38f-c220-4816-8c1c-8da4400e2aa8 · inbound

Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training cites this paper.

Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:16.148976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3933ef2b-3d2e-43ff-9480-749cb2a613e9 · inbound

Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest cites this paper.

Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T05:30:31.320766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3accc95-0d03-4016-b8a0-d9bc660d249d · inbound

xGR: Efficient Generative Recommendation Serving at Scale cites this paper.

xGR: Efficient Generative Recommendation Serving at Scale Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:17.370060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a64a2e2-b0e7-40bc-afa1-21e6290912de · inbound

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders cites this paper.

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.519473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 825368de-396f-4371-8357-d7ff14cb3e40 · inbound

UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking cites this paper.

UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:55:26.152677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0110eda8-b2ad-4832-ab88-5b7de012c54e · inbound

A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems cites this paper.

A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:49:15.098338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 68fbfc97-3dd7-491f-b40e-39fd4337142e · inbound

Mutable Low-Rank Sketches for Retrain-Free Recommendation cites this paper.

Mutable Low-Rank Sketches for Retrain-Free Recommendation Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T23:51:43.081334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1293744e-10f1-45f3-b68f-7cef5744d5eb · inbound

LO-FAR: A Cost-Aware Local Filter for Sparse Feature Ranking in Industrial Ad Recommendation cites this paper.

LO-FAR: A Cost-Aware Local Filter for Sparse Feature Ranking in Industrial Ad Recommendation Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:09:37.663287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d2fcdf-a28e-4384-b71e-657eb68f32c0 · inbound

Mosaic: A Fleet of User Embedding Specialists for Recommendation at Meta cites this paper.

Mosaic: A Fleet of User Embedding Specialists for Recommendation at Meta Monolith: Real Time Recommendation System With Collisionless Embedding Table

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T23:18:21.748526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.