Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01555.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:47:18.111678Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:37:31.795419Z
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 e0b336e3-6ff4-45e6-bc5a-35d5b89a5f8e · inbound
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:37:31.799242Z
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.
Observation d2306fc0-f9d1-43d5-a60f-c62be5676fe8 · inbound
Disentangling Locality and Entropy in Ranking Distillation cites this paper.
Disentangling Locality and Entropy in Ranking Distillation Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:47:18.111678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 762eb8a5-09db-4b6e-bcba-e4bca800b12a · inbound
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews cites this paper.
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:40.557362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d9b0556-e654-4cac-9acc-36075ab5b0f1 · inbound
Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation cites this paper.
Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:43:58.190242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c549df4e-5e71-4785-835b-ed2358bf947c · inbound
LLMCup: Ranking-Enhanced Comment Updating with LLMs cites this paper.
LLMCup: Ranking-Enhanced Comment Updating with LLMs Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:58.532315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.