Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.06696.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:39.554286Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T23:55:53.596168Z
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 727572e6-e8ac-4251-bee4-22c2756980e5 · inbound
FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions cites this paper.
FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:55:53.599393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 160397eb-1839-419d-b574-ac5a8d79c47f · inbound
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models cites this paper.
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Reference 46
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T12:05:39.554286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.