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Paper Citation Record · LEDGER

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2112.15093.

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

pith.paper-citation-record.v1
2112.15093 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:51:51.239927Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:57.261823Z

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 269c4479-5ac7-498e-a195-c818e760d4f0 · inbound

Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition cites this paper.

Relational Contrastive Learning and Masked Image Modeling for Scene Text Recognition Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T18:51:51.239927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:51:51.239927Z digest=sha256:be894949348f7c6666f8202574f1c5aeb128bd3589ed4ee951396726433a814b

Observation 239cd894-8e76-411a-b485-f9834ff1fe70 · inbound

SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition cites this paper.

SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T13:52:01.767817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:52:01.767817Z digest=sha256:71774889ca43f289f58650dc0c8ad094176202a3aeb2d9ee9147acd220e2757a

Observation 5fcf2192-ecc5-40a4-b345-682b5b1a005f · inbound

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription cites this paper.

Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.379930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-23T02:23:22.682357Z digest=sha256:b22f3ce438c0952e2cd329602d5b4fda4bd1f23d3c0724e1217d122cb6eecc32

Observation d119c39e-a433-4e70-9121-84572d46532d · inbound

MCCD: A Multi-Attribute Chinese Calligraphy Character Dataset Annotated with Script Styles, Dynasties, and Calligraphers cites this paper.

MCCD: A Multi-Attribute Chinese Calligraphy Character Dataset Annotated with Script Styles, Dynasties, and Calligraphers Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:56.497182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:53:56.497182Z digest=sha256:de23689f9c66f6263ac8524d9bda96f01cb0e2e04855e7183d0dda0fd204f7e7

Observation 0c91679c-ab11-479d-b776-6d4fff8e48f1 · inbound

Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance cites this paper.

Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T08:19:34.701538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:19:34.701538Z digest=sha256:6d043ec23b2c8aca93e0227b8e7f4745362b428fcea2a1c1affda0dfd9afd115

Observation 0d40b0da-423c-4caa-8288-34b492b133cb · inbound

Zero-Shot Chinese Character Recognition via Global-Local Dual-Branch Alignment and Hierarchical Inference cites this paper.

Zero-Shot Chinese Character Recognition via Global-Local Dual-Branch Alignment and Hierarchical Inference Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:27.307531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T02:35:05.535416Z digest=sha256:38371225a5337babbb830e25bd1f2fd475b74e018344c4899f412f3144974723

Observation d1d29a94-662e-4634-944a-ec60c14a9c49 · inbound

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution cites this paper.

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:52.317369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T19:23:58.184721Z digest=sha256:8288f329b32ba2955bdd004728531b6321d575a0a0407cae8cf822c57de8c49a

Observation 6305e6bb-e1cb-4a7a-b178-424742222b09 · inbound

Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods cites this paper.

Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T15:59:57.263110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T01:06:05.381643Z digest=sha256:6611ac55c29b3270c1b3d294f72a399c9bdbbbd283cde7c3c61f8b9baf2c988a

Observation 3d36bda5-7e82-4c1b-8143-a5ea11b9973a · inbound

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI cites this paper.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 127

Resolution
unresolved
no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:45:32.682508Z digest=sha256:433251749dd5362a878a912011d3edede057a6dcccbf548e76ad3154101a1fad

Observation bd6661fa-8c25-45a1-a767-3d5a28c3afe3 · inbound

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution cites this paper.

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T22:57:59.706530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:57:59.706530Z digest=sha256:d440ef1f6de13415c90f231ec5ee9773421cc5a66919b44d852480baf73bc6fb