Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.18460.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:43.866059Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:40:58.852383Z
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 8989223c-c52f-49cf-b233-312990fb0ffb · inbound
MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed cites this paper.
MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:53:43.866059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57cb6d5d-c8a6-46b7-99ad-124aa69b98d6 · inbound
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) cites this paper.
Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:40:58.855396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 606f81eb-7395-453c-9cdd-16549139cee7 · inbound
The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming cites this paper.
The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T19:18:43.559541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.