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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.586661Z digest=sha256:32758dd7a2d7054beaddd36e93b2224479ca01b47785f92702779d4d62ea4df8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.598867Z digest=sha256:b1838f054917737214e4fb26ef151dbb695f5f27b07c118db57af9487d347416

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.606808Z digest=sha256:2039447808843a810b75b528a51edba825bd0f00c47477a9f1da27ced53cc884

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.613304Z digest=sha256:de57289259a236e76e941aed972925df9024d3175e571b3a65fb798416da175d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.622157Z digest=sha256:b4854b43e32f33abcd7d3b36fb802c06389619034c3e2d5d291e644aaa6f51cb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.628392Z digest=sha256:985bf1c982f15a3b33f739b70774103df06c7aa7b46c79d6b6d09336a8990eb2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.635490Z digest=sha256:646e5364ed87663a2752d32a3e4218a88911734988b893b9a4598bdaec841364

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.641679Z digest=sha256:618cf20c48922beb3ddf3352bfb357066ea7c3cc19bb42e2f1e1b149c599e798

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.647381Z digest=sha256:4da5e1a31b625e6c137956f7b3533ac03ae0de3c4bc7753e50ccc692df998e0f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.660746Z digest=sha256:c5b59eb1af34e494226222475b501201bab8a94123cfa53605f0199c973b78ab

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.668332Z digest=sha256:3860777906a21b138cb2c6c43a1b0117ef3bc98bf061c651909e10c2d509c1b8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.676869Z digest=sha256:94c2716bdda55ffc16556e5a770a9b04d5d262f74fef6e29ea3123705d91c150

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.683596Z digest=sha256:cf0e088406437655ab1386e578ae7f2b549320a61e88bafa7aeafccfb5a65d39

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.689088Z digest=sha256:7db058f5b5206d6f24a3d18c79efa2a20ca62968f78f14b82d0ab9aeb8bb1032

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.694510Z digest=sha256:bad725a9a5275286d6bb248dbcea537c14b0514c914c86d69b440dd1aafa29a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.699887Z digest=sha256:650dbb54957cbacbcf64bc8440a107fa90a2cb58f57f383043051dda619a75c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.704889Z digest=sha256:deaa374a2b4afc495acdcc7be0eb0f7848281a3079f8cc31a4dc5bd571f5486c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.709886Z digest=sha256:e2dc62c8cfa37cd5c862405e5b9e87a234fabcaac3ceba6e4c9860dc2372cddb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.715096Z digest=sha256:a70402a681648b43b2f540de3408c8c7f7cf7d65baf8ed42914518f275bf1510

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.720323Z digest=sha256:780d79ebb93a4378a34b21b5d10f6a9ab18863c0ff48e580a8f74299b0200284

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.725314Z digest=sha256:e902b56e5f35c7960694a7f810b0aaf9d4ccf2caae27cb16061d04a4c1a793eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.730086Z digest=sha256:58a81e2f4dd3d5f656c7c4cba001c5f50507035b649c7c31ebed4685a8a956c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.735346Z digest=sha256:adc3efea52ff3b6005a5efb66a6aa080170290d6849db434db747c5ae50dc647

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.741872Z digest=sha256:23bd6e1df25b979c72bf16fc782c8843d4443ac638d15627e97bb40f6a4489a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.746705Z digest=sha256:7b7effe149a63b506a933d102674db8331696657e390e145f28203e3bbbb270e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.751712Z digest=sha256:c8a1e91579b531a915160baa00f310bcc03f207666f9f7e5d14cac4898524a66

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.756641Z digest=sha256:348e30c1fd11b509ce0f8a4f2fb02854384a32d9f9914209a6b8e5aa89263171

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.762537Z digest=sha256:e086a710bacf4811684aef1d12d79cdd530b7dcdd3bd5c40f7c1b71d7fb0da6f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.767274Z digest=sha256:73e9fbacea21e6ef9573e40f3dba3ce190aab6cd2f94b654635ab5e58548505a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.772279Z digest=sha256:0d148579a0f3f63cea2b64a6f73c28adf2675f350aea19e3567d862577b0f057

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.776913Z digest=sha256:bd1c1678a003fc4d00251d45306460b402ca86947431e9339497fd07cb935533

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.781789Z digest=sha256:deb85387ef9927f43afa516d260eaf5fdb7f2e0a9f4abd9fbfcb6578d1a34f04

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.786344Z digest=sha256:034a5dc45f9b0a5a12d086efcf567179ba2cf96148d3923e63a4c105ddb71879

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.791092Z digest=sha256:c4fbec4e59d98d2b9857ed38d4ed2524162f2c8c3e9ebaaf9887f7997e6a4c81

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.795705Z digest=sha256:1c0be133e5f2b713b5559eb4857a0950b3a040b11b8653cf16e422c454b8fe26

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.800646Z digest=sha256:61de0861504cb9248a3507ccd49ab1057ce777905f9e0a15c90179bcb6b1186c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.805310Z digest=sha256:84bf3f2c7c92bbc50005cb9ffadd0c5bbc6d0b53e3693e33179f50ab455ebcc0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.810657Z digest=sha256:4344bbfbc28434064a2fdc03902182f6fc18d1062168619e77ad9f4117a9c927

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.815522Z digest=sha256:433e39df505fcb550b134f245b01188c8a7d4606a41e6fe7076f7494c8160995

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.820647Z digest=sha256:98c59603232295bffda9912519abdc3fccfcb626e9fbf00cc9b0fb2a2dac1317

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.825739Z digest=sha256:58617dd68fc0c86fdde423cfef6e36a879762f84ec7a5492ebb0eab42c4eff31

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.831359Z digest=sha256:cbaf5c1796c0c3e58e82a46564db89dcca67a3b3be031fc37f93bb033eef0fb6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.836609Z digest=sha256:5d3ca1f13883accd9a219600a07d9a0d6d21dace00a9d9d9d321151651c416b5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.842138Z digest=sha256:aea65afba25a1eac1ca5b3d7419c191c998e63a9d2a98ba9103dc188d320989c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.847877Z digest=sha256:90994bb45ce5ff800b9f924d62a07eefc03d8909be21779cfce236ed64944d77

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.853030Z digest=sha256:4c6aec3ea3c6d3f43eecf51359d97f481e106bc518de9c44d019509b23298478

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.857951Z digest=sha256:30811bd77f1d431d3171e8125967ac2b5f9ba240959b58d8524436e25772c527

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.863086Z digest=sha256:52b63fca3395e40499172cd0270d3ff1df2209c4493bbfa580100586cb3ee3b1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.870801Z digest=sha256:29d15b8eda7c47dcfb3a007a43efdaf3271a6cc78a19d57ce1bbe1a7038a0c12

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=sha256:79e9b1b0444c1464d8a1ce8e72663e50e7255048ff04404a17e32ecc645c39ac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.884949Z digest=sha256:db179eb4d7b40dd77b950dbf290c650a086fa17ab1f6a43fb60f9cd24974f45e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.892436Z digest=sha256:7a6ed809140eed884f0d7cdef7a72309bd1ea5c7385995bc6e55d260ac8c51de

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.900139Z digest=sha256:9e28d5ee1f55d4111613d38927f6efe5a5eeefdfd8e8f2bbfb379b4be15fc834

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.905786Z digest=sha256:c0d897444e4924b8cae3c1bde151ed42c32aa3ff81c1b3ebdcc5d92a0360068f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.912143Z digest=sha256:86fbb672b42e6688492109eebc22bd557f1d4632bb4f4b75f5eb77e2e0217305

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.918060Z digest=sha256:9580e4a5b19e165c51731099d7b50e6f562a61c6f2d85570ed7fa77bc52085eb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.928561Z digest=sha256:39f587103ac88fbf7a2dc084781f898b174b7e12547678b953b242c359251910

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.934687Z digest=sha256:5565b7ce2bd1cd3c135d27f8b9df3a5373fb4a5d1b29118934a17eed9398aa5b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.940021Z digest=sha256:3e31d4732032ada32799475fb5b82be946e3ad489a7b109346d89b6cc7d8c074

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.945879Z digest=sha256:1fe9c8bd98f075417e39c58b5018ef381f6ba869660244d745731aed7105751b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.955110Z digest=sha256:2034af665e93e7da21761a707292bea3582a44aaf430c8515d934686171d4b48

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.960910Z digest=sha256:648f9c0bfff50894f85322e6e13b553254e146f8a242be6db5625d372576ca3d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.966756Z digest=sha256:7f43e69d95421efe850a2a9969c3cabcb3d1df8ab61a8fbb34d2fe7c89790b5b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.971790Z digest=sha256:d800fb322bd1d36cbf7e507844f0ed2ac6cf6e917e681cfd1dc61348aded8a50

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.977512Z digest=sha256:4b31d6f21d07e44c5cfbd623d673c9bc3a038ab4d05a63cba8bdfb24215972b5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.983226Z digest=sha256:b444848d9fc9b1b1fe2b3a00a99243e8b13e8bd1e20f8eab8527f6805b2699d3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.988593Z digest=sha256:b6c4977ce97740134130b2f7b15bc2611d533693be3ed08347ea964432df32a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:46:19.994344Z digest=sha256:c37241d65ac9a6bff328672b3d79d0d5a727cf0133e8689902565b0760cd78d4

Pith citing papers

No inbound Pith citation observations are available.