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Paper Citation Record · LEDGER

Bias and Debias in Recommender System: A Survey and Future Directions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2010.03240.

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

pith.paper-citation-record.v1
2010.03240 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:16:49.191840Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:48.370931Z

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 4a983ebb-3298-4f00-bd5b-628cf8135dc8 · inbound

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking cites this paper.

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking Bias and Debias in Recommender System: A Survey and Future Directions

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:16:49.191840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:16:49.191840Z digest=sha256:5df2f52fe6e4a63829735b1f7caed5336b198ff1ab5a18aecfd8b8183a9ccc76

Observation 2a735139-18da-4575-947f-82af1037d8d0 · inbound

Radial Neighborhood Smoothing Recommender System cites this paper.

Radial Neighborhood Smoothing Recommender System Bias and Debias in Recommender System: A Survey and Future Directions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:49:10.002617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:49:10.002617Z digest=sha256:c3065321ec0474bd0aa1e8f5484c6b1d4593d4461ab9098463585436c74a455b

Observation f3646acc-0224-4f96-a634-15f41f9695fb · inbound

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation cites this paper.

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation Bias and Debias in Recommender System: A Survey and Future Directions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T18:26:59.896976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:26:59.896976Z digest=sha256:6176f1eaca191f5823597f6c5e7e44c1574a573d8394ba3997151f1bbc08cfaf

Observation c1c6eda9-e0b0-47e9-bb1b-3c7f4116591e · inbound

Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval cites this paper.

Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval Bias and Debias in Recommender System: A Survey and Future Directions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:56:43.803942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T06:51:07.010077Z digest=sha256:2f00537a10db17a314672b776ccc0dedc44604ea62a1cd8848c24ad4434b41e1

Observation 8ac64c43-0cfc-46e3-a0e3-1ae2ca68c730 · inbound

Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval cites this paper.

Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval Bias and Debias in Recommender System: A Survey and Future Directions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T09:31:52.012118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T09:31:52.012118Z digest=sha256:651508fa1cc415ac461bd881ad32b7179c67228a1128e3c690892c09d47e4c81

Observation 8503bcbc-4781-4e7c-a63c-613731dcf5d0 · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization Bias and Debias in Recommender System: A Survey and Future Directions

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:48.372872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T18:20:53.930801Z digest=sha256:b54775cd2bccabd4917daba94faa087508f851f719f08e27aa8f9e8648d1da27