Paper Citation Record · LEDGER

On the Embedding Collapse when Scaling up Recommendation Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.04400.

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

pith.paper-citation-record.v1
2310.04400 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:03.498756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:41.996309Z

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 37341bb3-afe4-4dae-954d-639f0c696d66 · inbound

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan cites this paper.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan On the Embedding Collapse when Scaling up Recommendation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:03.498756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f88b36c-882a-43ca-9e86-da6d6fa365d0 · inbound

Scaling Transformers for Discriminative Recommendation via Generative Pretraining cites this paper.

Scaling Transformers for Discriminative Recommendation via Generative Pretraining On the Embedding Collapse when Scaling up Recommendation Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:02:28.547580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7071e6-f816-413c-ae55-c60a62418e69 · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model On the Embedding Collapse when Scaling up Recommendation Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:25:11.878382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7acbed-67cd-435a-9f1d-7bee4b727398 · inbound

Large Foundation Model for Ads Recommendation cites this paper.

Large Foundation Model for Ads Recommendation On the Embedding Collapse when Scaling up Recommendation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:09.099263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f34239c-60a9-4297-98ea-a8a1067423e7 · 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 On the Embedding Collapse when Scaling up Recommendation Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:04:09.536822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ddd0764-79e9-4de1-9ce0-6942dcf9840f · inbound

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems cites this paper.

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 2026-05-11T11:56:04.530735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems cites this paper.

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 2026-08-08T06:32:00.761636+00:00.

Observation 65148b24-a725-4b8b-9204-709b71ad0b94 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale On the Embedding Collapse when Scaling up Recommendation Models

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:06:27.934182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df6be83f-14ae-4ead-b66b-a1feabc4f359 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale On the Embedding Collapse when Scaling up Recommendation Models

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:46.133204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abebc8fc-323c-4f6f-aedd-7ad4b7c5bd43 · inbound

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression cites this paper.

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression On the Embedding Collapse when Scaling up Recommendation Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.638515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e75aa7a-d81c-4a6f-a0e8-3d16681254c6 · inbound

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders cites this paper.

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders On the Embedding Collapse when Scaling up Recommendation Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:29:41.997995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e77c91d-e7c8-4ff0-a7c2-98dc0938f97b · 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 On the Embedding Collapse when Scaling up Recommendation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T23:20:18.297618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c97666-b6ef-44cb-9686-f635ce9e7d61 · 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 On the Embedding Collapse when Scaling up Recommendation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:19.993952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c90a26-7659-4f22-9ff7-ff4596e5878f · inbound

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation cites this paper.

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation On the Embedding Collapse when Scaling up Recommendation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T02:11:14.685753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.