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Paper Citation Record · LEDGER

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach

As of 14 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2412.11668.

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

pith.paper-citation-record.v1
2412.11668 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:46:19.994344Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy67
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d6c93c9-c5f6-4bc0-b746-a5a4e4c86971 · outbound

This paper cites Writer Retrieval - Exploration of a Novel Biometric Scenario using Perceptual Features Derived from Script Orientation,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Retrieval - Exploration of a Novel Biometric Scenario using Perceptual Features Derived from Script Orientation,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.378062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.586661Z digest=sha256:ed90e915f43cd7032aa9d3f57204a508556e1af1542ac2137e8e535b100c9b71

Observation d16dc6a4-3eca-4516-b07d-cfad8a4ca33b · outbound

This paper cites Writer Identi- fication using Machine Learning Approaches: A Com- prehensive Review,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Identi- fication using Machine Learning Approaches: A Com- prehensive Review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.361379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.598867Z digest=sha256:ffaaf730e53998636c8db9e84f7d87405b79bc5f5be0253b48831282088a4643

Observation c97a2d1a-6d4d-4bd5-938d-0f7f8460282e · outbound

This paper cites Writer Retrieval and Writer Identification using Local Features,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Retrieval and Writer Identification using Local Features,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.344843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.606808Z digest=sha256:e300dd4fe14f1c2313dc755580429897eb44bc5d3ca8b7a59a1d8665385ed656

Observation f7bc955a-dcf5-4e4f-86af-99f134110228 · outbound

This paper cites Learning Fea- tures for Writer Retrieval and Identification using Triplet CNNs,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Learning Fea- tures for Writer Retrieval and Identification using Triplet CNNs,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.327307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.613304Z digest=sha256:c10db69d070695980b5d0e3010333734d697e3ee17717757af0fd25614b01683

Observation a6cc10d7-e585-45ad-a41b-433f16ff5d5e · outbound

This paper cites DeepWriterID: An End-to- End Online Text-Independent Writer Identification Sys- tem,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach DeepWriterID: An End-to- End Online Text-Independent Writer Identification Sys- tem,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.309828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.622157Z digest=sha256:fe128ac8ef77121ce71135d946bff124d349f9efb05abc233193cce8ab151be6

Observation 0ecff42a-9ba8-4fbb-8a0f-83472702fd9d · outbound

This paper cites Level Online Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Level Online Writer Identification,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.291054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.628392Z digest=sha256:9c52c58ff2782eef23e12634ede6ca4b015cd134775c468e931c35025b0d71e5

Observation 3869e3c1-42ed-46e4-b6fd-47c08985f595 · outbound

This paper cites Flamingo: A Visual Language Model for Few-Shot Learning,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Flamingo: A Visual Language Model for Few-Shot Learning,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.274156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.635490Z digest=sha256:95bbf2188a4ef24a57d2087dcc8dc04f51342fdda49d465c592d6acae06db185

Observation b92d2669-46c9-4b56-a484-fac3c08a4046 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach MobileNetV2: Inverted Residuals and Linear Bottlenecks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.258100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.641679Z digest=sha256:83bff73bc07b3b0ed8d9fe64e51fff771d231191498101d602a22228844d5bcf

Observation 1b33d13f-9c07-4b06-be0f-589def83c182 · outbound

This paper cites ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.234190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.647381Z digest=sha256:50d5ee9c6f9ff7869f43fb7961c1ce16a6ba8e908a470aefb61f19913e8743c0

Observation 8999b08a-646f-4ff3-ac09-eacec331eb26 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:46:19.654882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:46:19.654882Z digest=sha256:979e1c69e99164af620278321bc3e1238c8f6e1119bacc147a934eb89dd14529

Observation 4fcfc8d4-85e7-421a-a0bc-2c2d750e6c1b · outbound

This paper cites Feature Pyramid Networks for Object Detection,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Feature Pyramid Networks for Object Detection,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.211404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.660746Z digest=sha256:b0994a22502c0639c181a1b734838bc0786fae24cc1333ed62bd4d3b1cd1cd39

Observation a8525550-98b2-491b-8a5a-bf9b8652a7b1 · outbound

This paper cites GCNet: Non- Local Networks Meet Squeeze-Excitation Networks and Beyond,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach GCNet: Non- Local Networks Meet Squeeze-Excitation Networks and Beyond,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.192699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.668332Z digest=sha256:732ab51e741242abde2d97e90edbe5c2b822f2ff387e0380fdd030548c4d6580

Observation f5afacca-6ad8-498c-a6d1-fb32bcc6f6f6 · outbound

This paper cites CASIA Online and Offline Chinese Handwriting Databases,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach CASIA Online and Offline Chinese Handwriting Databases,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.172815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.676869Z digest=sha256:9ff7597759063d9d6a9113e5ed49ea0b326100d9e2fa3044e96a0e5f583ca2f7

Observation 776d4935-cdcb-4dea-8a5f-572ea2b15df7 · outbound

This paper cites EGO-LM: An Efficient, Generic, and Out-of-the-box Language Model for Hand- written Text Recognition,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach EGO-LM: An Efficient, Generic, and Out-of-the-box Language Model for Hand- written Text Recognition,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.153371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.683596Z digest=sha256:76fd6c9ac0ad98d79498d0c2df18d46aebaee2b7b3329500351f2ba127b35b73

Observation 3ae60218-9a8d-42a5-8094-35ea3bb36bb0 · outbound

This paper cites SCUT- COUCH2009—A Comprehensive Online Unconstrained Chinese Handwriting Database and Benchmark Evalua- tion,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach SCUT- COUCH2009—A Comprehensive Online Unconstrained Chinese Handwriting Database and Benchmark Evalua- tion,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.133120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.689088Z digest=sha256:e5bad655fdd3fbd708267df2bb9817dd50711e93e9e1c7c3ca22c771c7c0d1e7

Observation 3dfd23dc-bdee-4636-9fc9-c8815e71ef09 · outbound

This paper cites GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identifi- cation,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identifi- cation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.114321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.694510Z digest=sha256:7354b628d323832975ee9da070a4baec1b71d39af9eed70786af47696a545116

Observation cba0aa03-f262-4ac2-87c7-598577eaa345 · outbound

This paper cites SynSig2Vec: Forgery-Free Learning of Dynamic Signature Represen- tations by Sigma Lognormal-Based Synthesis and 1D CNN,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach SynSig2Vec: Forgery-Free Learning of Dynamic Signature Represen- tations by Sigma Lognormal-Based Synthesis and 1D CNN,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.094448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.699887Z digest=sha256:2fe27804b465537787d485ee01dc96b4712738bb5a5f828192f302411c1ef0ed

Observation be2783ba-ce64-40a5-96f9-51d7214dd390 · outbound

This paper cites Combined Depth Space Based Architecture Search for Person Re-Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Combined Depth Space Based Architecture Search for Person Re-Identification,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.077154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.704889Z digest=sha256:bc38da6fc84ec5915dbbf2267789b12b3241f542b195d4f6cf0053806f44bd59

Observation 1e819dbe-7602-4ae2-8444-8f3f09d57d82 · outbound

This paper cites Counterfactual At- tention Learning for Fine-Grained Visual Categorization and Re-Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Counterfactual At- tention Learning for Fine-Grained Visual Categorization and Re-Identification,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.057853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.709886Z digest=sha256:4eb9be93c3b0beaa061f009ac7a8e739b4d24779cf9d1e47b87fdea329f0050c

Observation f64501e9-bec8-4456-9e46-ce3c97d80780 · outbound

This paper cites Learning Generalisable Omni-Scale Representations for Person Re-Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Learning Generalisable Omni-Scale Representations for Person Re-Identification,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.037693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.715096Z digest=sha256:3701815d3d2a9a7d771d532c0d6bf9ecd48dd726d043db050595c60c7f9fef11

Observation 3d811451-5274-4e57-b561-4de828807014 · outbound

This paper cites Aggregating Local Image Descriptors into Compact Codes,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Aggregating Local Image Descriptors into Compact Codes,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.018228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.720323Z digest=sha256:7660bc237f26dd81a33982f84e798cfcbcd9fbfde637b3a3672b0f6219a6318c

Observation 90fed7ff-14f2-4b44-a9db-f8cbfab5512a · outbound

This paper cites Writer Identification and Writer Retrieval using the Fisher Vector on Visual V ocabularies,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Identification and Writer Retrieval using the Fisher Vector on Visual V ocabularies,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:21.000547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.725314Z digest=sha256:f45bc1000e177ad6d8978caa54950aacc59286f02d08a1e05ace356d8df490a1

Observation 73448b4a-5479-4b02-987a-34d38f8a27fe · outbound

This paper cites Unsu- pervised Feature Learning for Writer Identification and Writer Retrieval,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Unsu- pervised Feature Learning for Writer Identification and Writer Retrieval,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.982383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.730086Z digest=sha256:1120569dfe0d9b8fdbd293cdbc88e550cd3916f23c6f9a01226a47776db998ee

Observation 584dabd8-de2b-4411-b290-667380385ba1 · outbound

This paper cites Writer Identification and Writer Retrieval Based on NetVLAD with Re- Ranking,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Identification and Writer Retrieval Based on NetVLAD with Re- Ranking,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.960271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.735346Z digest=sha256:ad3644b1822d651d9ce2cdec6211efeb31dddf35023fbe6aecfbdfbf4cf6c90c

Observation 70f2ccac-1e74-4a9f-b712-e8a51c0bc79a · outbound

This paper cites Writer Retrieval using Compact Convolutional Transformers and Net- MVLAD,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Retrieval using Compact Convolutional Transformers and Net- MVLAD,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.936556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.741872Z digest=sha256:269eea367a19cb3ca4d9a7095998eb1c220e63dc38d46f77a43ecc6ea48bfd13

Observation 7b2508ec-89f9-43cd-a373-20a9567b2685 · outbound

This paper cites Towards Writer Retrieval for Historical Datasets,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Towards Writer Retrieval for Historical Datasets,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.917681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.746705Z digest=sha256:b3715387f3b15ec4cb6ecf2751d9fac0772d0a554aab9082809406331049f545

Observation 87669197-d026-4488-8422-a07c6b8152b8 · outbound

This paper cites Image Classification with the Fisher Vector: Theory and Practice,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Image Classification with the Fisher Vector: Theory and Practice,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.892685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.751712Z digest=sha256:541dffc48a3059dcd98647f8851bffbe8d1909c361f4d824d9caf7ce90822076

Observation ed520ba7-9f7d-468d-a8c2-c7ccd4c5addf · outbound

This paper cites NetVLAD: CNN Architecture for Weakly Su- pervised Place Recognition,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach NetVLAD: CNN Architecture for Weakly Su- pervised Place Recognition,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.873586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.756641Z digest=sha256:e3be08e3ccd75d67e72a9bd55807678ed6e5d1fcb74b57d5c2aed400306d7807

Observation 0d0ae561-4d3d-4639-a0cf-de9df6ece1d5 · outbound

This paper cites Writer Identification and Re- trieval using a Convolutional Neural Network,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Identification and Re- trieval using a Convolutional Neural Network,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.854851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.762537Z digest=sha256:a70d596bb35a6557521ce7b6802e0acab8158290340c0dd39b8e28915469eb7c

Observation 3217c264-138b-4a7e-8dd9-54dbc606848f · outbound

This paper cites Writer Identi- fication and Writer Retrieval using Vision Transformer for Forensic Documents,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Writer Identi- fication and Writer Retrieval using Vision Transformer for Forensic Documents,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.836994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.767274Z digest=sha256:ea2450d3dfc1ee6a629f1d21c46184f2454fc23e40d3571907e749222f84bfeb

Observation 1c88ede7-cbe4-4c16-a228-f6391d3a8e3f · outbound

This paper cites IAM-OnDB - An On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach IAM-OnDB - An On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.819100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.772279Z digest=sha256:855485ade5873f34e6ebdbda57383012087cf2b1bdeba4a30447232734038042

Observation 5d23880f-ea16-4221-86c6-fbeac161bf84 · outbound

This paper cites IBM UB 1: A Dual Mode Unconstrained En- glish Handwriting Dataset,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach IBM UB 1: A Dual Mode Unconstrained En- glish Handwriting Dataset,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.794629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.776913Z digest=sha256:0e38f201c7e6add77cc152a1a97779ec9087d5c5e85892279680d678bf6cf227

Observation 14b2273c-af3f-4d7a-95a4-242fbfacc429 · outbound

This paper cites Automatic Writer Identification Framework for Online Handwritten Documents using Character Prototypes,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Automatic Writer Identification Framework for Online Handwritten Documents using Character Prototypes,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.775986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.781789Z digest=sha256:f87711b5ddf6744450453086d74f0415c6a518bae2a3e633f60ad592c3e17752

Observation 1bdb13c5-e5a1-4138-9454-e5ba66c8c7e6 · outbound

This paper cites Individuality of Alphabet Knowledge in Online Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Individuality of Alphabet Knowledge in Online Writer Identification,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.754749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.786344Z digest=sha256:09a5db237f2fa9ea62de2b395a902e230ad18c628250f7f8ea23010b68d4e0bc

Observation d2f401ac-4eec-496a-b128-4669cf6c9a80 · outbound

This paper cites Fusing Asynchronous Feature Streams for On-line Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Fusing Asynchronous Feature Streams for On-line Writer Identification,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.732949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.791092Z digest=sha256:bf6f6e4a4b85a5d52b726f3d9aafae7311152a7971ae48c8f2698cffb6a186f6

Observation 7c43d357-921a-4735-b416-e35e1af1cebf · outbound

This paper cites A Subtractive Clustering Scheme for Text-Independent Online Writer Identifica- tion,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach A Subtractive Clustering Scheme for Text-Independent Online Writer Identifica- tion,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.705676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.795705Z digest=sha256:5f17b6f157d782ef4898eccf33999797fa807b6a5a9c35de97bda9dc45ecb8e0

Observation 93f90298-4ce9-4dd4-99be-e5aa82ef6ec6 · outbound

This paper cites Online Writer Identification using Sparse Coding and Histogram Based Descriptors,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Online Writer Identification using Sparse Coding and Histogram Based Descriptors,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.680815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.800646Z digest=sha256:4f1dea33c90930852d7674d8e85a2c90e325dd9be4db3ad80cdeba89957e88db

Observation e0fa26be-59cb-4647-9e0d-419d9ea9416b · outbound

This paper cites Dissimilarity Gaussian Mixture Models for Efficient Of- fline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Dissimilarity Gaussian Mixture Models for Efficient Of- fline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.657521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.805310Z digest=sha256:35877a0cac96483e617c70de32d80dcb58cba99e4323b811128569d67ed439f9

Observation 5c3abc79-41bd-4b2f-9edd-2006b8baea06 · outbound

This paper cites Encoding Pathlet and SIFT IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY , VOL. 19, 2024 14 Features with Bagged VLAD for Historical Writer Iden- tification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Encoding Pathlet and SIFT IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY , VOL. 19, 2024 14 Features with Bagged VLAD for Historical Writer Iden- tification,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.629038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.810657Z digest=sha256:a8dba583adb20d05aec9e52ea6bc501a745a25c2f0f4679364f0780e45df64b9

Observation c1809887-22d7-4088-a9e1-bfaa97090038 · outbound

This paper cites A Writer Identification System for On-Line Whiteboard Data,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach A Writer Identification System for On-Line Whiteboard Data,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.611105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.815522Z digest=sha256:c3a4854220c884fab223283fa20afccabe875ec94e69ceacf276f381ed69ac30

Observation 4f5795dd-675b-42ab-9afb-03bbf45d5d1c · outbound

This paper cites Online Writer Identi- fication with Sparse Coding-Based Descriptors,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Online Writer Identi- fication with Sparse Coding-Based Descriptors,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.589527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.820647Z digest=sha256:84ceb656d5ce72a3d9ffb2960b3e0def68d067c1757f9b1d9d4c48705a1b55c7

Observation 2dcf050b-2af1-4a2b-a67f-c7d22f387efe · outbound

This paper cites DeepWriter: A Multi-Stream Deep CNN for Text-Independent Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach DeepWriter: A Multi-Stream Deep CNN for Text-Independent Writer Identification,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.564972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.825739Z digest=sha256:7958483d9ccaa417f7c308e949e18fc8418f222a7aaacffb85cb2c1e554fc71f

Observation b42f1e4a-b9d6-4fbe-b1a1-9518c49db76f · outbound

This paper cites PS-LSTM: Capturing Essen- tial Sequential Online Information with Path Signature and LSTM for Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach PS-LSTM: Capturing Essen- tial Sequential Online Information with Path Signature and LSTM for Writer Identification,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.545992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.831359Z digest=sha256:d4a50dd616703b838b187760047d1f955046f632412412e3664496ee4bf388ad

Observation 4d9edc4a-e738-45fb-84bd-d3645f5f5b6e · outbound

This paper cites End- to-End Online Writer Identification with Recurrent Neu- ral Network,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach End- to-End Online Writer Identification with Recurrent Neu- ral Network,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.528176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.836609Z digest=sha256:b26f4c33a9e0441a0539e0cb18ccfb18293cb4b8e4c80bece582c139d8c6a17f

Observation 90cb78cb-8952-4ba6-8412-92bba2eb7b98 · outbound

This paper cites Deep Adaptive Learning for Writer Identification Based on Single Handwritten Word Images,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Deep Adaptive Learning for Writer Identification Based on Single Handwritten Word Images,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.508620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.842138Z digest=sha256:c31d84ae3a6ba8064dde0343be4cd0bfeca45af8477203c4708561eccb782690

Observation 0ca8e100-7501-4505-94f2-ed7b60d8d23e · outbound

This paper cites FragNet: Writer Identification using Deep Frag- ment Networks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach FragNet: Writer Identification using Deep Frag- ment Networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.493018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.847877Z digest=sha256:0c60b3aeefe1ff4e9350df74de3e91fee3a7f157877096c90ee4ca702c4feef1

Observation ce5e12bd-ee97-43e6-955d-17909f9c38d4 · outbound

This paper cites RSTC: A New Residual Swin Transformer for Offline Word-Level Writer Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach RSTC: A New Residual Swin Transformer for Offline Word-Level Writer Identification,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.476468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.853030Z digest=sha256:8c643780fd50cddd19088b36bab7c2ad6641b2f5adaaa29820e725ec0721fee2

Observation 3914be81-09b4-4a8d-af98-f96525c53aa3 · outbound

This paper cites Attention is All You Need,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Attention is All You Need,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.459981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.857951Z digest=sha256:c0c292e57b0006a3e6f0203fd425870d72e10b0eb746c3b4a5a5eec0c0ef57b0

Observation ec1be488-f3af-4ff1-94c1-eeb2aedd24c2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.443192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.863086Z digest=sha256:406a6301507110680aad108deebf887867601aa3711b2972d00104f00a9bc9cd

Observation b49ec366-4215-42aa-8003-0e06fa9f8233 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.427339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.870801Z digest=sha256:a44006aede8ad636753f9f1c58f4d275b5de5ccafaa8a53e0e172e4de4665897

Observation 6903ac77-fd15-450f-9664-901105d712af · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Escaping the Big Data Paradigm with Compact Transformers

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T14:46:19.877470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:46:19.877470Z digest=sha256:7c03a871a8eb555fd65f257c3ae4c21694c66f69bd502cdcd8d8e0be4968f645

Observation cf40ecb1-dc53-44d7-ac25-50bea1b1490c · outbound

This paper cites Online Text-independent Writer Identi- fication Based on Temporal Sequence and Shape Codes,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Online Text-independent Writer Identi- fication Based on Temporal Sequence and Shape Codes,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.411313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.884949Z digest=sha256:708b7ddbee87e5ec85b7127a24ceb98079b34dc87f8e2835915784e6c456c59e

Observation b8652ad5-130e-40dc-8017-d232839baf75 · outbound

This paper cites Squeeze-and-Excitation Networks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Squeeze-and-Excitation Networks,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.393577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.892436Z digest=sha256:611683b6ef58573d76f7ad64e12123601ef03a5847baa41fd965b9cffd863704

Observation bcb0cf3a-763a-4308-a2bb-8337e816921d · outbound

This paper cites Rectified Linear Units Im- prove Restricted Boltzmann Machines,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Rectified Linear Units Im- prove Restricted Boltzmann Machines,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.377561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.900139Z digest=sha256:3b17cab6c6920889cac7eb5c500f59aa3481fc02b7428527cf0b0c2276660c35

Observation 30a0e6ca-d15b-4378-b6c4-15aa989c522d · outbound

This paper cites Self-Normalizing Neural Networks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Self-Normalizing Neural Networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.359472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.905786Z digest=sha256:ebde485830c9faf27bda50ec8e746088fda9e8c70f905f948bfd3fc2e9ddc202

Observation 27b37185-1303-40b2-b8b5-6c7c3455c49c · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Deep Residual Learning for Image Recognition,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.339626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.912143Z digest=sha256:224dd7711ef12b1778eed97b16858aec68fe8d8f24dac36046992dbc9c2a9943

Observation 61e48e54-fc3d-4f27-b0b4-40e16266dfa8 · outbound

This paper cites Circle Loss: A Unified Perspective of Pair Similarity Optimization,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Circle Loss: A Unified Perspective of Pair Similarity Optimization,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.321937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.918060Z digest=sha256:cfd66c3c69c09b6ddbbdfb991642eedb672bf324d7238f23eedab21178afc807

Observation ad70f9da-6d66-46e6-9fce-b36a0c497b74 · outbound

This paper cites Joint Detection and Identification Feature Learning for Person Search,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Joint Detection and Identification Feature Learning for Person Search,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.301426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.928561Z digest=sha256:4b01e3ff1537ecd02b06b688b7255d39655acea74c6b3789c86f688d3fb4e0a2

Observation d036dc73-613b-4157-beab-6300b0edd1e5 · outbound

This paper cites ABD-Net: Attentive but Diverse Person Re-Identification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach ABD-Net: Attentive but Diverse Person Re-Identification,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.281093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.934687Z digest=sha256:bc7de217efba3f2df0eed5c589d260328902a8a4bf9a76051a18595c89e32d56

Observation 4cb33cac-2e64-4081-88f9-801effb47e15 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.265303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.940021Z digest=sha256:190a6627b7be0806e0ce5d659919d42af1590a6ba2bf9caf25b7cdbd9cbb4e94

Observation 0290de4a-0fc1-4e84-ad38-643dde4681bd · outbound

This paper cites A ConvNet for the 2020s,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach A ConvNet for the 2020s,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.249159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.945879Z digest=sha256:fb5b30d0d8cabcf8fd88d1514acfc06cedc4ae41efe1100905b46e0d206177eb

Observation 1661c643-4e87-4652-8375-c66367d1cd4b · outbound

This paper cites HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.231209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.955110Z digest=sha256:9f6a01804c5657840ee1b285f32affd5754faec7b477e2c598d4ab4ff2dbafa5

Observation dcbf6b2e-77a6-4c43-8afc-8260c3bcb824 · outbound

This paper cites Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.214226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.960910Z digest=sha256:042d1f94667bcf74365efda7b9d79be7119ee181d0a035bee501c519356eccf8

Observation 4e8309f5-4891-4ce4-bfd2-323efae5af93 · outbound

This paper cites MSDS: A Large- Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach MSDS: A Large- Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.193140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.966756Z digest=sha256:485d8f975a77696b35a6170a6a24eb14bc93bd2dddc1d00b5936157c394c7375

Observation 3da2b03a-6324-4d0c-97b4-e10c174ea6e0 · outbound

This paper cites Decoupled Weight Decay Regularization,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Decoupled Weight Decay Regularization,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.173392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.971790Z digest=sha256:2f688b52264b33fdae4261bee1a88e6f0a6f2cdb1a1f538897e3c58523508343

Observation 72dcc9b5-f160-4f72-85ef-6e48dcc3b45c · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach PyTorch: An Imperative Style, High-Performance Deep Learning Library,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.151266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.977512Z digest=sha256:25e2b4280d6786b15fe61fc8202578831667c482af528a7a46d92bdc56468b0a

Observation 59a88e7c-161b-42a0-8f1c-aa697d7775ca · outbound

This paper cites Deep Neural Network for Online Writer Identification using Beta-Elliptic Model,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach Deep Neural Network for Online Writer Identification using Beta-Elliptic Model,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.131656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.983226Z digest=sha256:a54fc64b6d2ba41f46d25504766925a66a429262c94de459a7ca298068bb17ab

Observation 6754dbbc-4a3c-41ae-879e-a60734c78572 · outbound

This paper cites ICFHR 2018 – Competition on Vietnamese Online Handwrit- ten Text Recognition using HANDS-VNOnDB (VO- HTR2018),.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach ICFHR 2018 – Competition on Vietnamese Online Handwrit- ten Text Recognition using HANDS-VNOnDB (VO- HTR2018),

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.113768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.988593Z digest=sha256:263df262d70a1e1c5aa9b1436841d984182b34483afc00b46283411dda7f2808

Observation b2fcccf1-3162-4b5a-bafd-7116ebc34552 · outbound

This paper cites A New Database for Online Handwritten Mongolian Word Recognition,.

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach A New Database for Online Handwritten Mongolian Word Recognition,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:46:20.096200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T14:46:19.994344Z digest=sha256:909f2056ca81deb79a9c94860490ecd0111a3d2e6793c1206cb1afcdfd5db250

Pith citing papers

No inbound Pith citation observations are available.