Paper Citation Record · LEDGER

Revisiting Pre-Trained Models for Chinese Natural Language Processing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2004.13922.

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

pith.paper-citation-record.v1
2004.13922 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:19.854751Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T01:17:44.903225Z

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 ed2561aa-a468-47a6-8ecc-a3a8bcef2631 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:19.854751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3e85ec-c72b-4e76-ada5-f6755be7db4c · inbound

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge cites this paper.

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:50:55.871315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2edecf0f-efbb-404b-a97a-58dd16533bd6 · inbound

MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding cites this paper.

MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:55.671389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26383776-8008-46da-963e-def695930ee5 · inbound

MExplore: an entity-based visual analytics approach for medical expertise acquisition cites this paper.

MExplore: an entity-based visual analytics approach for medical expertise acquisition Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:24.716997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c314798-c44e-4736-b64a-6735a67e2237 · inbound

LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA cites this paper.

LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:08.315484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6d7c11-4482-4240-80ca-f389b5dce3e2 · inbound

TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification cites this paper.

TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:14:00.217855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0c8df08-464d-4d29-8db3-70172fe2a2f3 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 117

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:20:06.348294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af7880d8-e8bc-4d90-9160-850aa9bc877e · inbound

BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments cites this paper.

BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:25:03.104055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb77be69-faac-4c92-9e25-cbafe85707c2 · inbound

BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments cites this paper.

BlossomPsy: A User-Centric AI System for Adaptive and Engaging MBTI Personality Assessments Revisiting Pre-Trained Models for Chinese Natural Language Processing

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:17:44.924985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.