Paper Citation Record · LEDGER

Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.06696.

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

pith.paper-citation-record.v1
2110.06696 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:53:39.860538Z

measured 0 of 1 external citation measurements

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 2026-08-23T06:30:58.430688+00:00.

Observation 1e7c9978-8a97-4767-bf8b-66cdbc44c3d4 · inbound

Trigger$^3$: Refining Query Correction via Adaptive Model Selector cites this paper.

Trigger$^3$: Refining Query Correction via Adaptive Model Selector Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:39.860538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62ab1db-fdc5-4555-9190-1700f041eddc · inbound

Generative Retrieval for Book search cites this paper.

Generative Retrieval for Book search Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T18:47:18.736308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.