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Paper Citation Record · LEDGER

OCNLI: Original Chinese Natural Language Inference

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.05444.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2010.05444 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:47.743789Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T23:51:47.743789Z digest=sha256:0a7d8f106207cc0a593c0b743b949a1f849354f4eb34e847c707cd51baecad3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T18:53:20.911374Z digest=sha256:27b848c22a9f7a4e1720a8f324a4966abaeeb9b4cf4f011e35363ee5dd79f53d