Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OCNLI: Original Chinese Natural Language Inference
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.05444.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:11:48.461087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T18:53:21.022542Z
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 ac4b5f87-a9c0-4c3a-b86d-e3449f6bc069 · inbound
Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need cites this paper.
Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need OCNLI: Original Chinese Natural Language Inference
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:11:48.461087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf9b1575-5487-4078-a352-5e62f44c4466 · inbound
Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information cites this paper.
Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information OCNLI: Original Chinese Natural Language Inference
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:51:47.743789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f35f6ec5-583d-4096-ba57-76b69a750a5f · inbound
LLaDA2.0: Scaling Up Diffusion Language Models to 100B cites this paper.
LLaDA2.0: Scaling Up Diffusion Language Models to 100B OCNLI: Original Chinese Natural Language Inference
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:53:21.025987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.