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Paper Citation Record · LEDGER

One4all User Representation for Recommender Systems in E-commerce

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.00573.

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

pith.paper-citation-record.v1
2106.00573 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:47:16.953681Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:50:58.995882Z

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 c7cdd5a0-f8f1-49dc-9105-239e8f195f75 · inbound

Scaling Sequential Recommendation Models with Transformers cites this paper.

Scaling Sequential Recommendation Models with Transformers One4all User Representation for Recommender Systems in E-commerce

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T18:47:16.953681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:47:16.953681Z digest=sha256:786ce5cd19e2ad7fe9cf751086c574f76f9066c75d583ef28579c7a35fb97d07

Observation c7c5de6d-a7ec-46a2-8314-a8f11895917b · inbound

Transferable and Forecastable User Targeting Foundation Model cites this paper.

Transferable and Forecastable User Targeting Foundation Model One4all User Representation for Recommender Systems in E-commerce

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:53.347974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:07:53.347974Z digest=sha256:5deb41a1a06ce1b7f59b5e0639900eb768ace518eb2420c27bdbd24c4f744c08

Observation 7ae435f6-05b7-4fbd-8c20-03823d12a5c3 · inbound

Bootstrapping your behavior: a new pretraining strategy for user behavior sequence data cites this paper.

Bootstrapping your behavior: a new pretraining strategy for user behavior sequence data One4all User Representation for Recommender Systems in E-commerce

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:50.529544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:50.529544Z digest=sha256:97535ff002617685275c3400c08e61b68279d30754f27eb9d653d7c5ace15530

Observation 69c740bb-0795-4137-9af8-d45c5bb8db94 · inbound

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation cites this paper.

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation One4all User Representation for Recommender Systems in E-commerce

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T19:23:51.103315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:23:51.103315Z digest=sha256:b3aac5ce0f4740659d347566ca3f07806c27f54d739a1d8c570b517e76a0ca9a

Observation c35456c8-c91d-45bb-b710-d3bb6f14348f · inbound

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation cites this paper.

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation One4all User Representation for Recommender Systems in E-commerce

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:38.954295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:38.954295Z digest=sha256:af29d65b9007089e1aaabf1c60c4624e3a848133f63db37b27ebb36a82ef6497

Observation 823b0f83-4520-4a14-80e3-aafcbb8a5abd · inbound

A Scalable and Efficient Signal Integration System for Job Matching cites this paper.

A Scalable and Efficient Signal Integration System for Job Matching One4all User Representation for Recommender Systems in E-commerce

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:50:59.054947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:50:57.316759Z digest=sha256:1190de44758f5e5a4bd323a910682c3b2307dbfe39e95093e3e198db80bf97ec

Observation 8ed9e62b-b3be-41f0-82c7-fa3ad33c939d · inbound

Building a User Foundation Model for the Open Web cites this paper.

Building a User Foundation Model for the Open Web One4all User Representation for Recommender Systems in E-commerce

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T20:16:40.966418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T20:16:40.966418Z digest=sha256:478e51186a66b3e1bba781ee22db26997c817dd42b918535a7fafdc0d8f9f1b9