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Paper Citation Record · LEDGER

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.02914.

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

pith.paper-citation-record.v1
2305.02914 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:59:01.340072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:30:58.964083Z

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 ebcf7f77-d679-4beb-8f09-0227e1ff627e · inbound

PRISM: Refracting the Entangled User Behavior Space for E-Commerce Search cites this paper.

PRISM: Refracting the Entangled User Behavior Space for E-Commerce Search Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:58.967728Z

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=2026-05-11T01:17:41.909932Z digest=sha256:2efed0e4cf33920c6517f89b6f7d7d77a0ef2c7ba149a734480052b12ea8624f

Observation 6c55b003-5c58-486d-889b-1aa585a4484e · inbound

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation cites this paper.

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

Reference 3443

Resolution
unresolved
no resolver link, observed 2026-08-07T22:59:01.340072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:59:01.340072Z digest=sha256:4e70bfa11415f296d4b0330e3563581c5aab3958f8b9cbc4412974bc194981de