Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lecture Notes on Neural Information Retrieval
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.13443.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:44.490401Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T00:16:15.729268Z
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 9a1201a0-42db-49f0-ae7c-ceb5cd4f3cc4 · inbound
A Flexible and Scalable Framework for Video Moment Search cites this paper.
A Flexible and Scalable Framework for Video Moment Search Lecture Notes on Neural Information Retrieval
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:24:25.853193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 02a75ee3-f188-4a6f-92ef-2a64ed476709 · inbound
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition cites this paper.
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition Lecture Notes on Neural Information Retrieval
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:27:44.490401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ad6617e-421e-41f8-89ec-7a7b7dda1a58 · inbound
SentAttack: A Sentence-Level Black-Box Adversarial Attack Method for Dense Retrieval Models cites this paper.
SentAttack: A Sentence-Level Black-Box Adversarial Attack Method for Dense Retrieval Models Lecture Notes on Neural Information Retrieval
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T02:21:35.800392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.