Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.08120.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:19.904646Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T02:48:27.365392Z
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 0cda17c5-5397-483d-81bc-4f1e10aa2f97 · inbound
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning cites this paper.
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:28:19.904646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84ec0a16-5f9c-433f-a08b-c97edcf25e90 · inbound
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.
ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:48:27.366682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.