Paper Citation Record · LEDGER

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2411.11770.

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

pith.paper-citation-record.v1
2411.11770 v4

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:13:45.399201Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:20.681599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T00:23:17.399417Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy17
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 159be1c2-4d8d-4174-9ec5-f810d17f6b13 · outbound

This paper cites Yu and Z.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Yu and Z

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:46.034006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 243522d6-f8c5-4bac-bec2-f98de0ead53a · outbound

This paper cites Vaswani, ‘Attention is all you need’, Advances in Neural Information Processing Systems, 2017.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Vaswani, ‘Attention is all you need’, Advances in Neural Information Processing Systems, 2017

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.998058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d25aa1b3-020a-4a78-98da-e3dc583095ca · outbound

This paper cites Radford, ‘Improving language understanding by generative pre- training’, 2018.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Radford, ‘Improving language understanding by generative pre- training’, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.973834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8ca2c08-1ee8-42da-91cd-66a63ea616d7 · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.951069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6039cf7-a568-42e4-98d8-f335f84e4cf0 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:13:45.041631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fea45fb-065e-4f53-b1f9-8c2880c10393 · outbound

This paper cites Team, ‘Qwen2.5: A Party of Foundation Models’.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Team, ‘Qwen2.5: A Party of Foundation Models’

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.931658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dcf90ed-7f7c-4e6d-bcb1-f616963e34a9 · outbound

This paper cites Li et al., ‘Unified Named Entity Recognition as Word-Word Relation Classification’, arXiv [cs.CL].

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Li et al., ‘Unified Named Entity Recognition as Word-Word Relation Classification’, arXiv [cs.CL]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.914604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2d93610-9bc1-46a7-a9b3-4c6d58037fe6 · outbound

This paper cites Zhang, S.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Zhang, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.887445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ea7b692-d425-4c61-97c4-ab4fa4b2e892 · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.862350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b369daa-fe0c-4a0c-8da6-34aaf7034446 · outbound

This paper cites Wu et al., ‘Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation’, arXiv [cs.CL].

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Wu et al., ‘Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation’, arXiv [cs.CL]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.839745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 529990f5-bc37-4c5c-86e5-60489a33dd76 · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.818651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc63f48d-64d6-4d0a-b95b-b0bbcce306ec · outbound

This paper cites Du, ‘GPT2-Chinese: Tools for training GPT2 model in Chinese language’, GitHub repository.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Du, ‘GPT2-Chinese: Tools for training GPT2 model in Chinese language’, GitHub repository

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.792880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aba01a53-5ad8-4469-bdca-a0f127f1300c · outbound

This paper cites Tan et al., ‘Exploring and Adapting Chinese GPT to Pinyin Input Method’, arXiv [cs.CL].

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Tan et al., ‘Exploring and Adapting Chinese GPT to Pinyin Input Method’, arXiv [cs.CL]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.769714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6da09fa6-71f9-446b-905d-37cbb888595a · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.747407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af553be0-4ba9-45cc-8227-6409cef55844 · outbound

This paper cites Rajbhandari et al., ‘DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale’, arXiv [cs.LG].

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Rajbhandari et al., ‘DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale’, arXiv [cs.LG]

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.727406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef5bfe8a-96f9-4da1-8e3e-958c652b2747 · outbound

This paper cites Dai et al., ‘DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models’, arXiv [cs.CL].

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Dai et al., ‘DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models’, arXiv [cs.CL]

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.706259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d19a771-8138-4e3a-9066-a5051a3b7e57 · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.682333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a20aa719-e89d-4bf4-a867-fb4cf46ef819 · outbound

This paper cites PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:13:45.274329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51cc2514-7aec-471d-a391-ea4d669c7c8f · outbound

This paper cites Zheng, R.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Zheng, R

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.659955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a746c03b-a4c3-4439-90e1-b861b2e392bd · outbound

This paper cites Rajbhandari, J.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Rajbhandari, J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.636782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81dff219-99ab-4cc2-8850-8def8298793f · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.611443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation feaeba0e-d8a9-462e-85d2-ca83a2963fd8 · outbound

This paper cites Loshchilov and F.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Loshchilov and F

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.590013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 986780f9-e705-45e1-b183-16ce4e91aca1 · outbound

This paper cites an unresolved cited work.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:13:45.568146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fb31eff-3ed7-448a-92f0-12615c177311 · outbound

This paper cites Chase, LangChain.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Chase, LangChain

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.548344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24eb5a00-548b-4c07-ba0e-4d0fafb20f1f · outbound

This paper cites McInnes, J.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters McInnes, J

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.527112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2884037b-b16b-4634-b7c0-8679a7376644 · outbound

This paper cites Xu, ‘NLP Chinese Corpus: Large Scale Chinese Corpus for NLP’.

CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters Xu, ‘NLP Chinese Corpus: Large Scale Chinese Corpus for NLP’

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:13:45.506606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation ce4710af-8678-4b20-baf4-cdc3bfe1c6c9 · inbound

RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction cites this paper.

RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:11:20.681599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae193ef-91b6-44a0-ba4a-48987e5c1b3b · inbound

TIDAL: Recovering Temporal Phase for Cloud Block Storage Placement from LLM-Derived Semantics cites this paper.

TIDAL: Recovering Temporal Phase for Cloud Block Storage Placement from LLM-Derived Semantics CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:23:17.402459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.