Paper Citation Record · LEDGER

Understanding Scaling Laws for Recommendation Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2208.08489.

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

pith.paper-citation-record.v1
2208.08489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:15:13.898263Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c5de8e78-a1e6-4589-b1cb-6a5a8f0f1c3a · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Understanding Scaling Laws for Recommendation Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:05:57.013142Z

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 0eaff254-29a4-4e20-af6d-1c10c879ed4c · inbound

Climber: Toward Efficient Scaling Laws for Large Recommendation Models cites this paper.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T20:15:13.898263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63f5e723-ff33-46d2-b7d7-9c89741a65e3 · inbound

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval cites this paper.

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval Understanding Scaling Laws for Recommendation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:16:32.448740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf080d7-0482-44e9-85d5-a35f581f68d9 · inbound

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

Scaling Transformers for Discriminative Recommendation via Generative Pretraining Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:02:28.271026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ddbd45-87db-4413-8c1c-b36efb2acc1c · inbound

RankMixer: Scaling Up Ranking Models in Industrial Recommenders cites this paper.

RankMixer: Scaling Up Ranking Models in Industrial Recommenders Understanding Scaling Laws for Recommendation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:35:48.319669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd2dbc1-3193-4ccf-964e-ca89ebf425f0 · 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 Understanding Scaling Laws for Recommendation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T20:25:11.815668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa18328-6f12-4f42-be36-559a57149044 · inbound

Model Merging Scaling Laws in Large Language Models cites this paper.

Model Merging Scaling Laws in Large Language Models Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:32:37.728406Z

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 2a2a5740-4f3a-4ca9-bc41-e70663c460f5 · inbound

SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs cites this paper.

SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs Understanding Scaling Laws for Recommendation Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:22:04.560240Z

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 0282bc5f-1a1e-4bbc-9116-f1443ea30743 · inbound

Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation cites this paper.

Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:06:24.016376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ecbe37-0666-472d-b140-b23be1c1a593 · inbound

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation cites this paper.

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:30:30.294337Z

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 8791dda3-0097-4185-8eb5-a3895db2fa80 · 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 Understanding Scaling Laws for Recommendation Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:04.889366Z

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 32bf1375-a8c1-4e0b-ad73-d3ac043a0a1e · 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 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 2026-08-08T06:32:00.761636+00:00.

Observation c714227a-3384-44d0-904e-a302cd28450c · inbound

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

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Understanding Scaling Laws for Recommendation Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:28.040117Z

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 67b51849-b0ce-4d43-96db-e58afce6b6b4 · inbound

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

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Understanding Scaling Laws for Recommendation Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:46.247134Z

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 3a2aba71-4b66-406d-b134-4083bccad3e1 · inbound

Scaling Laws for Behavioral Foundation Models over User Event Sequences cites this paper.

Scaling Laws for Behavioral Foundation Models over User Event Sequences Understanding Scaling Laws for Recommendation Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:36:45.306367Z

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 b797cf67-154e-4a0c-9065-27a5000714a1 · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T19:18:41.341694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f867e7eb-a5b7-49fc-a4be-fbea4383dba8 · inbound

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture cites this paper.

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:56.347904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9440b6c3-714f-48ed-862a-313333e16ccc · inbound

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

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation Understanding Scaling Laws for Recommendation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T02:11:13.200065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.