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Paper Citation Record · LEDGER

POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2108.04690.

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

pith.paper-citation-record.v1
2108.04690 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:04:29.466193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.651507Z

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 c2c34589-88b1-4d11-9196-3690e5586164 · inbound

IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform cites this paper.

IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T12:04:29.466193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:04:29.466193Z digest=sha256:dfd67f13c37b3f184d6419ec5f3e2f13ca3f3d8e284f2542b93db68fb8b46898

Observation fb6b042f-257b-4fad-aa13-58ee7a012847 · inbound

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest cites this paper.

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:58.620942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:58.620942Z digest=sha256:0811d7b7ae513de4928302bf02276f3b92cf8227666cb6b2a882a2adfc978b6e

Observation e1b3f97b-ad95-4c21-86c3-6dfc4e2df59e · inbound

From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs cites this paper.

From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:55:20.384867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T03:54:11.392343Z digest=sha256:0ce84c4824dc5e67285099119ddf67f2f619638a398f7b65c0379692a69c976c

Observation e2cf30fd-9622-40e3-90c8-4a36fa799ec1 · inbound

Dual-Attention Convolution Experts for Sparse Tensor Completion cites this paper.

Dual-Attention Convolution Experts for Sparse Tensor Completion POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:09:37.653286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:46:52.479359Z digest=sha256:54a52f02d014811683c60e9d23f0162e4d383e16921a7457594145ca234ebafe