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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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:ae4d7ff25b7476a2e0c1b7c1cacfd101d23b9e959e83fb26ca15954f4a1ae518

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=sha256:97f8d3d532b05d7a2ce8f6f8b0f31e07ea3543667b853cbf3a3aa3873da91ef1

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=sha256:42649a8370406e6dc64772adcd5db1c32166b1e2151e0e0d9face34e4a522fda

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T06:51:07.010077Z digest=sha256:74120c5353f9ca67acbc250a064c15adbc57c009eb4cdf8d5e9c9e2dab8bd76e

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:c2d9bbb55b546d11ee823513ee6439bb68e293239c083670ed0bc2af9d038c50

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T18:20:53.930801Z digest=sha256:026071a824f6a1c471cdf1268dd247f803ea97d8a8168993413c49160eab74e9