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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.586661Z digest=sha256:b1bae009b9836c5897e6b2265eae92fafedf618135fac401c207a77d61bf0f39

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.598867Z digest=sha256:86866b07d27fbedbf2a9fe26b0593f5e4f842d206bf5c93216652ae39a6d52c0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.606808Z digest=sha256:bab44e39fe75ee25db97ff62d081ae5bcd0a5e5ceeef98d8d7c1be183b9571d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.613304Z digest=sha256:7dd0bc091e1dd2102c1f2efc746d989b18945fdea799adc0fec7d35f7d0589ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.622157Z digest=sha256:215cb32a20066d82b2afa01387bf05e75d53125d4df208a2b6eac8e79618dad7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.628392Z digest=sha256:1586762fc0540749250f63f0178741f14f0c7249476e627f2f2ea5900bddcc50

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.635490Z digest=sha256:3cc2b2c0751a7dd6648b8640487619b0190d0b87eb773c9b76c5b427097d0570

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.641679Z digest=sha256:b31d14401e083bed00ad47821af021d93844922409fa04a0d85544d887abc294

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.647381Z digest=sha256:b87ef5748febff1e5f22584067a453e7c9d43b60dd563499857808c8ae2b8f81

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.660746Z digest=sha256:e0d59b57c63bbd239525d2368a603556b643a9b2d0a8179c5fc2c4aa9c0458fd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.668332Z digest=sha256:6846e9fdf8169b05f89ed7a3dbbcd244942b92fcf1958f9286574884fbc1ae7e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.676869Z digest=sha256:c9f8aa013f29934211ca3084ccf27393b3b27626e3f0356fd31a8b6cf2732bd1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.683596Z digest=sha256:adf751842714091f96e8d33a20e615ac8da2ce3948fbd4a117c11ecfa02ab825

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.689088Z digest=sha256:61a7d1311a1a4685c6a2752813014bb0e6bceaf3e06e92646c33c6aafffe1424

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.694510Z digest=sha256:42212847088dfc3c37077bb8fda111b76d0ce1f8b13fa36fe1e782a673c11c96

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.699887Z digest=sha256:9537ae546a11ac3704451675da06da02b71c6e8322d6f0096b5f8b742b94295d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.704889Z digest=sha256:a6e335dfb9275818ab453ab08262f596cdaecb567e40c0a6c094fa5b3180b28f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.709886Z digest=sha256:ae67e04d486190b50bad06bbcd1dd036d1630208a37bd942753f42b3fb80cda7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.715096Z digest=sha256:869d9d3c0d4fd0bf258e8c8098462dd9c4af24a433676d670563b6478e2049ee

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.720323Z digest=sha256:2257ba1e2ceee4ab9fad4241539f30b852729ea5f8023d82697c0dfd61500457

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.725314Z digest=sha256:25d7635e37a553e865bed5d2a32798781680faf82538c6fadcda03b588de5f66

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.730086Z digest=sha256:6abd9ec334280f7acaf24649ee52a7ed61299bd27c4622439320ae5cdb057451

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.735346Z digest=sha256:e5efa86c3c4f9b7532d6bacb6a1106a51a659b6109ff0c7b6b57bb34a1f8e7d8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.741872Z digest=sha256:c2e83df8e2753f38a8d3bb2a0335a2420c22ce62922d4564685dde4de0e9401e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.746705Z digest=sha256:b823d22eef585637676e1d7216908e12881dff46d5e57037e77dffbbb6cf3c49

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.751712Z digest=sha256:6eb471237595456385503659cde177a1a0b8b23075add60bd8ba521fe6124d38

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.756641Z digest=sha256:025416e57595f05a6e6a5a02eea592e5bac81b696fda06bad3cfa760a996c3cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.762537Z digest=sha256:0f2f2f754180086165a163a1cf1b5d13ddfc2be5156076ae60f387d9e20d0675

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.767274Z digest=sha256:865609a777e28b6d515b9849cf7e8daea12e16154d2fef58776adf7eebe3e42a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.772279Z digest=sha256:5a5a456811732980e656d3d7e1982f45ffeb97d0c4af97c8ed3e76be162682e6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.776913Z digest=sha256:c41787663df5a06fe87b686d7d7b99c78b40238315f6caab91250cd0868b106e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.781789Z digest=sha256:de8b1f7754d28ad0bd0cf0833b8ab5a5795dc221621a157b69e2a27bca204df6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.786344Z digest=sha256:ba6e91bee99a0e592c390b054a1d7c28b5faeaaf605e27d7c2c6b07803b6a823

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.791092Z digest=sha256:c5faac6b799d2290385140300115f0b669968d0b994acd58222516cb31c36c9f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.795705Z digest=sha256:50d9cd9864dcfcbf57a55c9a1c7b13792ac09b1f949f8702530c6712845fbd2e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.800646Z digest=sha256:b5fc9fecaa9c7d519d012750ff381885c8add1bbc2277595a5910a2e412ce46c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.805310Z digest=sha256:9089bbf8e2b55ac3894caf4ac718a0e4fb2ee9f72267806fb8c56a80cfce5e9c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.810657Z digest=sha256:d245e6c6e2636825d12d9971870e5b4287ec6c097444c9b46797bb565eaf5e13

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.815522Z digest=sha256:8369646329ba014fd61757d233f0de8ca9831c8f37564d908fe1ed46b6f98ed0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.820647Z digest=sha256:60a7e27c252a9abec14648d7360d3522d21b47a7151307810f0f59bfa292ed55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.825739Z digest=sha256:dbeb72e42a63268e590d25e1a2c13c4a16d0a436efde2d147f474947576cb58a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.831359Z digest=sha256:b9833e8f2619004d795cf012d6288be9d375a78667c09b2f79a5002b3b8b6296

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.836609Z digest=sha256:cb5e8316a5b40feec9993868395325efa7c0deded25da8633878f034b98c1199

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.842138Z digest=sha256:cbaf2de3d3514cd8ab51ce020644a5e1a9697913ee8d38b95178cfc53b83d399

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.847877Z digest=sha256:afa95f8a4de92b07419933611395008ed7b647d2fb58dadd1ff4d79a72ca670e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.853030Z digest=sha256:4453df628247f0b85cf9cadb9afaef391057f7dc9f4f67931c56dc55223dcd39

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.857951Z digest=sha256:1a6cf2e8b52f95314bae1a0a4bd765383cf9fcb8890e981ef626d13a2d91d508

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.863086Z digest=sha256:8b91e57e4a868b4772f011ff636481c3b701a3f1c91915c40e0fc342f63971d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.870801Z digest=sha256:cc94838f0105d41d7e3ba7346a1fa1e23a892535a07edc7ed863b2e49325657a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.884949Z digest=sha256:7fde0d89b919d1fa6eb9cd5989ca9ba61b18a7b4818d1152a4cc258fef69e054

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.892436Z digest=sha256:86c36c428a6182f18c14ec2fa9f2edfb696e756881306bdd4158b83df9073995

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.900139Z digest=sha256:a16554bd927cbccf0f1918040514db87af6223aff9a1a02273440a65c237de74

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.905786Z digest=sha256:65e4a9903699c9901e3d3bbe77804b0679aa4de377c8e046c9ee0dbe896fef81

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.912143Z digest=sha256:4dd6a9b8f87f6e127d8e418f2256a6f8d3c66cc4b821a066ca51be77753a522d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.918060Z digest=sha256:a243f2a8f46d504df320e89c5809f8c31adee1de7b547b29c669ea77feadbdcd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.928561Z digest=sha256:121b32523695d0e4fe719bb8b4e8f1d1ac15f0e6e2663a0a71e70c38b255a89c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.934687Z digest=sha256:9b6ee4a0dfe244b79238929cd62aa8d8c01b4cc545ba242b7651f71b4d4cc01a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.940021Z digest=sha256:251a801f6d906f17222525c05042020e22e1486cb72e3e3e1784166ff4dc2ce3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.945879Z digest=sha256:7216a02d64ad2a91f1db6608f8fa43eac00c1b22ce6e7d8b2a90f0edd17a65a4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.955110Z digest=sha256:874493d8702202ca924e2eb1bf2df78812b8a32bcc0c4ab2e4d870c8d56abbcf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.960910Z digest=sha256:473b9fb7848b2144bd51826afdc2c14b6adefc3c196dddb07de29418e0c8fbd5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.966756Z digest=sha256:e60699479e1030947f5a7849a635950d1d79c275f075ad00e0762d4b252ec53d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.971790Z digest=sha256:da8c6e99b2b10a37137c2a47697ae3799d5fdd85a794095f292b22fdb068c563

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.977512Z digest=sha256:54f004d8029ae368bb62cf66e29a8d742e430af8f543ae33a750c216f1a2ee4c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.983226Z digest=sha256:4234ca93f4596766d70c005767d53e721364d28500e2d39865b9ac43c8e6710b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.988593Z digest=sha256:fe320659d8e10c70de63a24f2200637d030e6ee7a71f83371b42d08936b2bc10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:46:19.994344Z digest=sha256:bff3d406d1f5604e1f7ff65fc9ce7ace7a293ec8582cc3c816cdab8011526959

Pith citing papers

No inbound Pith citation observations are available.