Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.09497.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:28:32.065932Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T23:40:11.185444Z
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 00569e38-1161-4295-bacf-58508d2ff955 · inbound
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:40:11.189189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c0ef576-15a1-4222-bd2b-4abb22ba69b1 · inbound
PaSa: An LLM Agent for Comprehensive Academic Paper Search cites this paper.
PaSa: An LLM Agent for Comprehensive Academic Paper Search A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:28:32.065932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b86b4223-c904-4bab-b1f2-c893deec43f1 · inbound
Reranking with Compressed Document Representation cites this paper.
Reranking with Compressed Document Representation A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:03.023530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c7dd8e-93cd-42ee-a5ee-a4c39766f458 · inbound
Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments cites this paper.
Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:27:49.815237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05239255-7bb0-408f-84e9-ada6bf431d81 · inbound
Efficient Listwise Reranking with Compressed Document Representations cites this paper.
Efficient Listwise Reranking with Compressed Document Representations A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:31:25.607011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.