Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimizing Dense Retrieval Model Training with Hard Negatives
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.08051.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:45:23.160274Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:31:24.393169Z
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 aa6ac72d-3e49-4866-8d2d-4992a44a47f3 · inbound
WARP: An Efficient Engine for Multi-Vector Retrieval cites this paper.
WARP: An Efficient Engine for Multi-Vector Retrieval Optimizing Dense Retrieval Model Training with Hard Negatives
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:36:25.531779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5590dd58-522a-41ac-baa9-0bd5b078ef01 · inbound
Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation cites this paper.
Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation Optimizing Dense Retrieval Model Training with Hard Negatives
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:45:23.160274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87f2c896-6a0d-4be9-abf6-124ec09767bc · inbound
MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization cites this paper.
MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Optimizing Dense Retrieval Model Training with Hard Negatives
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:31:24.404290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.