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Paper Citation Record · LEDGER

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.07112.

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

pith.paper-citation-record.v1
2506.07112 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:46:43.075053Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9480dbb-1fec-40cc-b7ee-1b3c829b4dbd · outbound

This paper cites A Review on Recent Advances in Vision-Based Defect Recognition towards Industrial Intelligence,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring A Review on Recent Advances in Vision-Based Defect Recognition towards Industrial Intelligence,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.376660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.771962Z digest=sha256:f1ed99ccf910fd8f8cfad993cf52901a1720ff5202e6be3d598161e294235a0f

Observation 328a9d92-882a-490b-834f-57ad71b19c7b · outbound

This paper cites Methods for Monitoring the Photovoltaic Panel: A Review,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Methods for Monitoring the Photovoltaic Panel: A Review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.314614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.783294Z digest=sha256:b22295337263e845dc9563b0b3359231319ec81401fb429c20e4c0f7e66429fe

Observation 644814a5-6e36-4f44-bc1d-2b13e944921f · outbound

This paper cites A Comprehensive Review of Energy Storage Technology Development and Application for Pure Electric Vehicles,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring A Comprehensive Review of Energy Storage Technology Development and Application for Pure Electric Vehicles,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.281011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.795466Z digest=sha256:c608680828f300c524c4025efc8aba153e61b4ff5ba489d92e27b28f547fd21c

Observation 5e971252-fe21-4752-95ee-18eba25e6f4e · outbound

This paper cites An End-to-End Tag Recognition Architecture for Industrial Meter,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring An End-to-End Tag Recognition Architecture for Industrial Meter,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.237411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.803631Z digest=sha256:decb0b2860b3955e230f142a7ce0d72c6b6f51adbdb938e9d3b08f6be542558f

Observation f6ceeca3-3faf-4043-8c77-41243555a736 · outbound

This paper cites OCR- Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet-of-Things,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring OCR- Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet-of-Things,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.197572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.811584Z digest=sha256:b4155e8bc2dedfcdaa48c7e55fd09586e3536b8162c647e0cc4ccfb8820d3930

Observation 55c4cd02-9177-4d7c-b6d1-8a43b1217773 · outbound

This paper cites PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.156702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.821043Z digest=sha256:481c75a453f24f292fc9e30c6a149d1f401dfd9f7bc6dd7f79545ad0ea53c07c

Observation f0881d23-2603-406d-a80c-af286213ec0e · outbound

This paper cites ABCNet: Real- Time Scene Text Spotting with Adaptive Bezier-Curve Network,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring ABCNet: Real- Time Scene Text Spotting with Adaptive Bezier-Curve Network,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.128137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.831220Z digest=sha256:435dfac2883c12cbc75f37ecaea3b400163b971d4abfd9054aa8724e6f79c8f9

Observation aa5595eb-e6ef-4dcc-adf4-b7a9b5098452 · outbound

This paper cites ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End- to-End Text Spotting,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End- to-End Text Spotting,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.087483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.836834Z digest=sha256:abeecd30709c1d5e29af702924b679fe27b570e8ff174ff0721177b41eaf7cdb

Observation 220e889b-02cc-40e5-ae51-4dfec126a7bc · outbound

This paper cites Attention Is All You Need,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Attention Is All You Need,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.042949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.842837Z digest=sha256:662147ceb4eeda30d2db2e508bad5b14800f9a55b4353787875982cf8523deff

Observation 14f29c8d-e7bf-4caf-a80a-0e6df44cf78c · outbound

This paper cites A Survey on Vision Transformer,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring A Survey on Vision Transformer,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:44.000071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.852710Z digest=sha256:c23da26c0899403066a44015b2953cc626cc3295ec0d46dc6e1c9f8dc95a69e0

Observation 46ade883-6769-44ef-ba0e-99405d9ef3ef · outbound

This paper cites Swintextspotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Swintextspotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.967376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.860452Z digest=sha256:4a5cefbe4fea9e86495bd1e277e1514a06ab25a2adddaf5aa3f58cdfbd4fa41b

Observation 6648930d-cf71-406d-93a0-c26c6afe7876 · outbound

This paper cites Deepsolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Deepsolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.938270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.878370Z digest=sha256:80c7158115c45e33a8a1f31453a7f4e4b1ea4f2f87065ad9f3a6730bf8d04d98

Observation 845926e7-778f-4004-b45a-08ea9a441ab1 · outbound

This paper cites DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.893817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.887476Z digest=sha256:9fc65ef84ea5ef25efef4531ca6fbd4b3d4e9d978e5a84dabd9227632a9471b0

Observation d9f8a750-3ea4-4e63-80f2-d966479e6d5d · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.843121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.899649Z digest=sha256:b1cd0c6e284637fcb2e6cb267c5c2b4eea72a523cbb25c9a98fcdd852eae1762

Observation 99db1ba6-adcf-4a46-9397-e07a8a3e1960 · outbound

This paper cites EAST: an Efficient and Accurate Scene Text Detector,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring EAST: an Efficient and Accurate Scene Text Detector,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.781283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.909418Z digest=sha256:4fe3c5cf4f46dca96894a9332088ccbbbc0f2f4d5ca4332156d558779178496c

Observation 6a07c8c0-48a0-4770-bbbc-228129331050 · outbound

This paper cites Real-Time Scene Text Detection with Differentiable Binarization,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Real-Time Scene Text Detection with Differentiable Binarization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.733794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.914753Z digest=sha256:1a66c1a687c8727eaa08b1dafbe0256bccc392dc8542662e65daa88a3d301c5a

Observation a6c06825-f928-45bc-88d0-5df663dc0911 · outbound

This paper cites AON: Towards Arbitrarily-Oriented Text Recognition,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring AON: Towards Arbitrarily-Oriented Text Recognition,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.692445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.923392Z digest=sha256:fa9e25c06800d7839d99ad11bd48fce2d4a680eaabcd2ab1543efef6baebbe2f

Observation 632ec4cd-5ef5-4f08-90d5-769a0069ac7a · outbound

This paper cites Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.657283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.931238Z digest=sha256:c19e9080568f39954050cf5eac1a6e525e7b6e24fc8843aab5922235d022137c

Observation 40c38482-da47-440d-98a0-feecc6461b00 · outbound

This paper cites An End-to-End Textspotter with Explicit Alignment and Attention,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring An End-to-End Textspotter with Explicit Alignment and Attention,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.627197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.945377Z digest=sha256:4fb6ee5724f0302f42f5a5ce380acef93713173009189668c9b85758848767ff

Observation a530696f-dde4-4a67-a4e6-873fb7629148 · outbound

This paper cites Mask Textspotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Mask Textspotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.596141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.955851Z digest=sha256:d9bc21b7dc4f1d75d026763f067f0dae9f71f43c947411de271ef8cde850991c

Observation 1e427054-fc76-4935-8caf-b0bca07936eb · outbound

This paper cites Textdragon: An End-to-End Framework for Arbitrary Shaped Text Spotting,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Textdragon: An End-to-End Framework for Arbitrary Shaped Text Spotting,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.543341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.965298Z digest=sha256:ba0ec322d8b7b748671bdba5cec466f96474bf7e4210f3b6d6810fec02693f36

Observation 9316ddd5-e632-421a-8f5c-25a346fd5106 · outbound

This paper cites Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.513995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.975443Z digest=sha256:348ab60b5fd24f674692d49f64915047f69b81c79dbceea81c9e107bc23aa84e

Observation 4d209b2d-674d-45f6-9f95-a34e2f3712d6 · outbound

This paper cites Mango: A Mask Attention Guided One-Stage Scene Text Spotter,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Mango: A Mask Attention Guided One-Stage Scene Text Spotter,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.484025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.990088Z digest=sha256:9555bc2bff8f3249073ef4443d9e962823ad98cb5de72867a50745cd1800bfe7

Observation 22215e8e-e097-41c7-be68-13858fa11479 · outbound

This paper cites Text Spotting Transformers,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Text Spotting Transformers,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.455522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:42.996551Z digest=sha256:29c6310df7ebb24894b9d0914d526078b9b44f69289da6b211fae661940da5ff

Observation 5d0dfd59-1369-4f8d-8574-f615a4afccc6 · outbound

This paper cites Fast R-CNN,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Fast R-CNN,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.429306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.007684Z digest=sha256:8566c268ae84fcb670e0a2bafc7197cd572c2036e76d8c399027addff67aea44

Observation 3f48e00c-22d2-4df2-aa2a-681ae4c303ab · outbound

This paper cites Scatter: Selective Context Attentional Scene Text Recognizer,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Scatter: Selective Context Attentional Scene Text Recognizer,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.395076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.016021Z digest=sha256:5b1941225cc9185e8a86e9c2415c472932faf4d1bfd66dae17ae7dd88d1e1403

Observation 44de92e0-66ee-4ba5-8712-f435cef6dc06 · outbound

This paper cites Mask R-CNN,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Mask R-CNN,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:43.024599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:43.024599Z digest=sha256:bd5adbd7b455db001603cea9dc0f1166cf01e9d6bcb0b09a082e7ffce228faf5

Observation 2f98e635-7019-4ffa-9187-355443a8a63e · outbound

This paper cites Glass: Global to Local Attention for Scene-Text Spotting,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Glass: Global to Local Attention for Scene-Text Spotting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.323874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.031323Z digest=sha256:dd6f1e0f2e40cfba03236395fb94ca55e45a7ec4787d2a3ab092c64c54c91b16

Observation 09229aa2-598d-45e9-a165-f84a6953c193 · outbound

This paper cites Swiftformer: Efficient Additive Attention for Transformer- based Real-Time Mobile Vision Applications,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Swiftformer: Efficient Additive Attention for Transformer- based Real-Time Mobile Vision Applications,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.285096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.039629Z digest=sha256:ab492fcafdd7b14390ba1103e1c2c81efb642fd42e08cf315226c9127f25b925

Observation d1501d34-120d-4c5c-a81a-8ed7fba3a210 · outbound

This paper cites Catmull-Rom Splines,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Catmull-Rom Splines,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.249751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.052689Z digest=sha256:bc16d505dceca7d0b125d8a07693f5eeb1b4254b105884e7dd28addf4e58a28d

Observation 6bb5252f-3638-4466-9817-3f3ea031e8a7 · outbound

This paper cites PGNet: Real-Time Arbitrarily-Shaped Text Spotting with Point Gathering Network,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring PGNet: Real-Time Arbitrarily-Shaped Text Spotting with Point Gathering Network,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.221805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.059661Z digest=sha256:ef55186549217114bb003ad0f1c857226ef96a63b507ff51c8779e76ae6cecb1

Observation 6d1b9a21-55d6-40c2-aa74-ec082e115f9e · outbound

This paper cites ICDAR 2015 Competition on Robust Reading,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring ICDAR 2015 Competition on Robust Reading,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.186260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.067291Z digest=sha256:00b84c5e909e5fca884b998f370f787f6916531c2f23d2b7dc85157cb744df9e

Observation d3afcb1d-610e-417a-8918-f373fd235b13 · outbound

This paper cites Curved Scene Text Detection via Transverse and Longitudinal Sequence Connection,.

EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring Curved Scene Text Detection via Transverse and Longitudinal Sequence Connection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:46:43.158665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:46:43.075053Z digest=sha256:302a0aa4ffb29f2c49d08aecd422dc3f587a7b788a405649ba405c4d4b45ae8c

Pith citing papers

No inbound Pith citation observations are available.