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Paper Citation Record · LEDGER

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences

As of 21 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2506.17325.

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

pith.paper-citation-record.v1
2506.17325 v1

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:33:25.769194Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

100 of 101 outbound references displayed

  • verified exact0
  • verified fuzzy62
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54347654-11bb-4937-8bce-3f921875e118 · outbound

This paper cites Journal of Computer Science and Technology Studies6(4), 92–101 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Computer Science and Technology Studies6(4), 92–101 (2024)

Reference 1

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Observation 3cb4eec9-4f46-4b1a-92a9-686c366fb0cd · outbound

This paper cites Available at SSRN 3969455 (2021) Title Suppressed Due to Excessive Length 13.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Available at SSRN 3969455 (2021) Title Suppressed Due to Excessive Length 13

Reference 2

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Observation c151da6a-3058-4103-8874-14a64b608f50 · outbound

This paper cites International Journal of Research in Humanities and Social Studies10(1), 31–42 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Research in Humanities and Social Studies10(1), 31–42 (2023)

Reference 3

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Observation d189a771-6f20-4972-97b7-e6dff8491bfa · outbound

This paper cites In: 18 International Multidisciplinary Scientific Geoconference SGEM 2018: Conference Proceedings.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: 18 International Multidisciplinary Scientific Geoconference SGEM 2018: Conference Proceedings

Reference 4

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Observation e42bd878-68f8-4f6e-97c1-8d52f3e3b778 · outbound

This paper cites In: International Conference on Big Data and Smart Digital Environment.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International Conference on Big Data and Smart Digital Environment

Reference 5

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Observation 818426c8-2057-422d-8b2f-7cbf006b39e5 · outbound

This paper cites AMAR (An- dalas Management Review)5(2), 95–123 (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences AMAR (An- dalas Management Review)5(2), 95–123 (2021)

Reference 6

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Observation e3f23db6-d6e3-4caf-b71a-46bf315eefbe · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 7

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Observation c4392903-3873-4375-a09f-9cc4cb346ecf · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 8

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Observation 2e108e21-c776-42d6-8293-e4f24859feb3 · outbound

This paper cites Netherlands (2019).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Netherlands (2019)

Reference 9

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Observation 238f841b-508c-426e-ad8d-619e769134a7 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 10

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Observation 608928ae-71ce-464a-aed2-9be189d2a808 · outbound

This paper cites Journal of Interactive Marketing 23(2), 157–168 (2009).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Interactive Marketing 23(2), 157–168 (2009)

Reference 11

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Observation e2f3031d-48d8-496d-a3e5-98786f3f9119 · outbound

This paper cites Mathematics11(5), 1137 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Mathematics11(5), 1137 (2023)

Reference 12

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Observation 990eed6b-7d54-412c-9362-6e2ddc4b2403 · outbound

This paper cites European journal of operational research164(1), 252–268 (2005).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences European journal of operational research164(1), 252–268 (2005)

Reference 13

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Observation 411f0191-d904-4caa-bc3b-b8d074a23e44 · outbound

This paper cites Expert Systems with Applications36(3), 4626–4636 (2009).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications36(3), 4626–4636 (2009)

Reference 14

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Observation 8e081545-e7ba-4dd8-8e14-1c9af30b680f · outbound

This paper cites Algorithms17(6), 231 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Algorithms17(6), 231 (2024)

Reference 15

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Observation 55d7ea81-985a-4ba3-aa21-13d829cf93b9 · outbound

This paper cites Information Systems and e- Business Management13, 475–494 (2015).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Systems and e- Business Management13, 475–494 (2015)

Reference 16

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Observation 0bb1bb99-f3d4-49ec-8116-fdf3a14f2be6 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 17

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Observation 38b25d10-3090-4603-a185-bf148435ef1e · outbound

This paper cites In: International Conference on Information Integration and Web In- telligence.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International Conference on Information Integration and Web In- telligence

Reference 18

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Observation 4e40de6e-9ca8-45d5-8b33-594d0d1927ae · outbound

This paper cites Information Process- ing & Management (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Process- ing & Management (2021)

Reference 19

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Observation 3af72fec-bf3f-40f5-a595-b148b9509e5d · outbound

This paper cites Journal of Discrete Mathematical Sciences and Cryptography25(7), 1965–1985 (2022) 14 S.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Discrete Mathematical Sciences and Cryptography25(7), 1965–1985 (2022) 14 S

Reference 20

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Observation f46c313c-9493-459c-8970-9f0146efe805 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Transactions on Geoscience and Remote Sensing (2024)

Reference 21

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Observation a3772a2c-d3fc-42d4-a0f4-a7c34ded3e9d · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 22

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Observation 2de9b66a-b539-4712-961d-5718de5a1fc6 · outbound

This paper cites Journal of Labor Economics (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Labor Economics (2023)

Reference 23

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ebfee79a-9f82-4ef1-830f-1fc9e1d8a28e · outbound

This paper cites Manufacturing & Service Operations Management22(1), 191–202 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Manufacturing & Service Operations Management22(1), 191–202 (2020)

Reference 24

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Observation f94c1a2b-0f89-4534-9b23-77d8dbe3111c · outbound

This paper cites an image isworth 16×16 words: transformers for im- age recognition atscale.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences an image isworth 16×16 words: transformers for im- age recognition atscale

Reference 25

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Observation 19d681dc-312c-46ed-99a1-9595a90d0aac · outbound

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

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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Observation 4b6afd86-8c03-4ad2-8815-38ca25c91a96 · outbound

This paper cites Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior 14, 46–54 (2001).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior 14, 46–54 (2001)

Reference 27

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Observation 3ebdde98-6052-4f82-93d5-522038f1c452 · outbound

This paper cites Marketing Science29(6), 1086–1108 (2010).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Marketing Science29(6), 1086–1108 (2010)

Reference 28

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bcb66297-0af8-4a94-9427-a8e784cc00b3 · outbound

This paper cites In: Proceedings of the 29th ACM International Conference on Multimedia.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the 29th ACM International Conference on Multimedia

Reference 29

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Observation b60b202c-cb99-47d9-8cb6-22aafe3d7385 · outbound

This paper cites In: Practical Strategies and Case Studies for Online Marketing 6.0, pp.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Practical Strategies and Case Studies for Online Marketing 6.0, pp

Reference 30

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a0cea0a6-55eb-470a-afce-12b6ea0f74a9 · outbound

This paper cites Data Mining and Knowledge Discovery (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Data Mining and Knowledge Discovery (2023)

Reference 31

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d83182cc-2d33-4bb1-a8b1-3f92b9e6d3fc · outbound

This paper cites Industrial Marketing Management107, 134–147 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Industrial Marketing Management107, 134–147 (2022)

Reference 32

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Observation 3fe3bd35-a002-455f-9d2f-23bc82f55a0a · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 251d7feb-535c-40c5-9826-6ee19a02ab78 · outbound

This paper cites IEEE Internet of Things Journal (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Internet of Things Journal (2024)

Reference 34

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Observation ee6c0061-6086-4c00-938c-f6c7ecf0ed1f · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c53cce1-020c-4362-9a4a-ecaf07d5ffdb · outbound

This paper cites Computers & Operations Re- search34(10), 2902–2917 (2007).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Computers & Operations Re- search34(10), 2902–2917 (2007)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.481722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.396069Z digest=sha256:e115e3b17513762181aa2efb0df5c0a2b928b3349b6d3eb8e2b54e4bddc31a31

Observation 240c6410-6521-4187-b185-ed1f507dae90 · outbound

This paper cites Ilr Review71(3), 705–732 (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Ilr Review71(3), 705–732 (2018)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.308897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.405985Z digest=sha256:6dba617d30f11a76295e083087ce43462a9add7f0a7aa274a0c48418b5576442

Observation 923bb54f-37cf-406a-a730-21b8d3ebb7e5 · outbound

This paper cites Greenhaven Publishing LLC (2020) Title Suppressed Due to Excessive Length 15.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Greenhaven Publishing LLC (2020) Title Suppressed Due to Excessive Length 15

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.298132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.418751Z digest=sha256:cd588f5bac77240f745ce2ed4a37f534f66aed066408f76cb829ad7bc637e3bc

Observation 1f8df362-925f-4153-83ff-757135a886bb · outbound

This paper cites Neural computation 9(8), 1735–1780 (1997).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Neural computation 9(8), 1735–1780 (1997)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:24.464761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:24.464761Z digest=sha256:9ad46ae660e52a8c58bc3ae466462b1bdbdad0cf61e7934c3cccd4434599705a

Observation fe6e1045-136f-4924-ad17-8a6c852698ae · outbound

This paper cites Expert Systems with Applications39(1), 1414–1425 (2012).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications39(1), 1414–1425 (2012)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.280376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.536469Z digest=sha256:12725e451062d4a6c28ac312023ab3780f2bd40780c89156613113806ff6c0d6

Observation fe553cdd-ba34-4dfa-9c2e-e97386b8a523 · outbound

This paper cites Computers & Electrical Engineering38(6), 1808–1819 (2012).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Computers & Electrical Engineering38(6), 1808–1819 (2012)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.270407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.541404Z digest=sha256:df3cbf064bc572436c64ae6456b98b4945a174ac398ae9257b63c1e8cc437dd7

Observation 94f47de1-ba5c-4390-a6f7-01cadea0d301 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-15T19:33:29.259161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.547328Z digest=sha256:de962ce563207126f042419cd1f155a44aefeabcb18975b83a7f0134edb322cf

Observation c9d32201-d677-48d9-8d53-048d645883b7 · outbound

This paper cites Statistical Analysis and Data Mining: The ASA Data Science Journal13(3), 245–260 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Statistical Analysis and Data Mining: The ASA Data Science Journal13(3), 245–260 (2020)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.248583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.551629Z digest=sha256:e5bf8659a823f4b366a959fb37daff93855c710b9d8b9c20ca30161be1eb00bf

Observation 8da015a2-0280-4da8-a001-38a83ef6e4b4 · outbound

This paper cites International Journal of Research in All Subjects in Multi Languages13(1), 153 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Research in All Subjects in Multi Languages13(1), 153 (2025)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.238204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.555176Z digest=sha256:e36e0fbf6ad2f82169d4c1dccb76d2e485b0ab33fd330f53d14a4b86270ffcb7

Observation 9f96dbda-aa41-4df6-8bfa-073377a2952f · outbound

This paper cites Scientific Reports13(1), 17294 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Scientific Reports13(1), 17294 (2023)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.227484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.593928Z digest=sha256:a4b5557ca73891f813caf2ac0e2bf655e4a6ca5f5182e82f57bb72764f4408e6

Observation c35c14a4-311e-4b5d-8df4-3bcc11b290b4 · outbound

This paper cites Journal of Systems and Information Technology19(1/2), 65–93 (2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Systems and Information Technology19(1/2), 65–93 (2017)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.169814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.687090Z digest=sha256:73dac65418d002de6271f6d1c520b9c0240ab76e7e820d77304c68c80898f7cd

Observation 5c9b6ab1-d5bf-4ad5-9330-e26271c34de2 · outbound

This paper cites IEEE Transactions on Artificial Intelligence (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Transactions on Artificial Intelligence (2025)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.120656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.731038Z digest=sha256:ce4077e6577341ea75895b81b8ad1c898cc05ef0adc873b41bc60927779b139a

Observation e743ebf6-fa29-4ea7-881d-04fd07df34a5 · outbound

This paper cites Turkish Online Journal of Qualita- tive Inquiry12(3) (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Turkish Online Journal of Qualita- tive Inquiry12(3) (2021)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.109609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.736262Z digest=sha256:bbd621880c447f61b74df4566d935f43e2bf78346e85c0c0137559c87e144e8b

Observation d0d07d6a-8841-4f5d-9047-734a5cd4a695 · outbound

This paper cites Advances in Neural Information Processing Systems36, 49187–49204 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems36, 49187–49204 (2023)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.097580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.740145Z digest=sha256:e7c76581ecfcf2a7105ec6385a59f4fc3b2e4f3aa59221f242a5ae65391f5c40

Observation e35ede3b-f87b-4916-85dc-c4e9462d68e6 · outbound

This paper cites Applied Intelligence (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Applied Intelligence (2024)

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.083983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.744015Z digest=sha256:5c764915065e6b2bc9a63612ab0dda6dc61898776a25d2ac66878b84a398a85f

Observation 28099b9c-ec8b-41f6-acf2-f53fc33b475e · outbound

This paper cites Journal of Organizational and End User Computing (JOEUC)36(1), 1–23 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Organizational and End User Computing (JOEUC)36(1), 1–23 (2024)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.072103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.780808Z digest=sha256:1ef96c2810cdeaf03b50b01b13bc8c52994e6818e842c3b66312abfc570faba2

Observation ff878f8d-e113-40a6-927e-8288362b8944 · outbound

This paper cites IEEE transactions on information theory28(2), 129–137 (1982).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on information theory28(2), 129–137 (1982)

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:24.807851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:24.807851Z digest=sha256:727c14a8e6f175c26c5450abcd3f538415e87d8a7a834a52b11c963ef864fb65

Observation 2401a32b-e78a-4c11-a9a1-1726a1d9d277 · outbound

This paper cites Production and Operations Management30(6), 1927–1943 (2021).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Production and Operations Management30(6), 1927–1943 (2021)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:29.052613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.812774Z digest=sha256:2ce43c9660124f1c64b677c6b08c558467b1663b56f321e12c1e1fe1c051ec2d

Observation 3aa77834-9a45-4072-9971-bcc04f8e96bc · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems30(2017)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.947719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.817426Z digest=sha256:e74c3599605d4f8aa9f88e51a1d2ccdad8d731fe5174d49e3dbbbaf74ff87b75

Observation 66518eab-809c-4ae7-93ee-e90315e0c0e0 · outbound

This paper cites Journal of Theoretical and Applied Electronic Commerce Research17(1), 165–198 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Theoretical and Applied Electronic Commerce Research17(1), 165–198 (2022)

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.935200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.821987Z digest=sha256:7b849e16b5c423d17a6e1f181e4b3ff66f9e26289ac3ba18004380bd1f9e6a0d

Observation 12454ac9-33fc-41a2-b5a7-95717d33ae35 · outbound

This paper cites Annals of Operations Research339(1), 765–787 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Annals of Operations Research339(1), 765–787 (2024)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.923773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.826354Z digest=sha256:3422e2328dbec07a64c09511570065c195ba755d7afba689125f3c805c0a3ca2

Observation d48d23e3-5887-4561-b737-607d535143f3 · outbound

This paper cites Mixed Precision Training.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Mixed Precision Training

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:24.830536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:24.830536Z digest=sha256:4a2e0d5c2d780aec70d0dd368b662ecad58c1fb0a56cfeb2bd153cf375735030

Observation 5816a777-ee49-4398-923a-26be2a9f695e · outbound

This paper cites Physical review letters89(1), 015002 (2002) 16 S.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Physical review letters89(1), 015002 (2002) 16 S

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.913117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.903348Z digest=sha256:bfa5370f6b2b2a5d3d4a0a95c1979263cdd3ddc4d084fdd89ce15530dcb73f10

Observation a64b62eb-24b9-49fa-8131-11ac1a875f4d · outbound

This paper cites International Journal of Developing and Emerging Economies8(1), 1–16 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences International Journal of Developing and Emerging Economies8(1), 1–16 (2020)

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.902725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.962557Z digest=sha256:4c8b8a842a77a9a13d7ffb5480cd43b0571ead1864fb7c1a989bd9f92757296b

Observation 93724e2b-7bae-4fdf-b0b4-8e91bc1955e3 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-15T19:33:28.863606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.966708Z digest=sha256:7a75afe3a5d52d6a29850a3045e9fdbd446b6390f91f2ff58484a28546591a40

Observation 3b16b8bd-6ae4-41e0-b0dd-8154cd818b14 · outbound

This paper cites https://github.com/uploadcare/pillow-simd (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences https://github.com/uploadcare/pillow-simd (2018)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.709238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.970205Z digest=sha256:fccb7c5e79aa6a0cb4975325ba3652a12b1d2384355c31a284726cdd927374ec

Observation 7cd485cb-9ee1-42f3-a42d-1b639bd345de · outbound

This paper cites Journal of service research9(2), 95–112 (2006).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of service research9(2), 95–112 (2006)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.696425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.974279Z digest=sha256:c675de6f6df5fcc0955b9e0e6e21d4a099e7b4517a738e35c781869907e2f546

Observation 5f497a06-ab06-4a38-a306-1762c07e09b5 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-15T19:33:28.685386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.978309Z digest=sha256:f1c12f08a21f63f1fabc85468df9c1441714c7d96dbb32b873065b416cab7cdd

Observation ab8f6997-7667-4f05-88b0-afc7273a0d88 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-15T19:33:28.570354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:24.982041Z digest=sha256:6973e1c35211b16deb93297d5aa0c2ab3f460307363d47529c2c0af5a3e95402

Observation ac1a14c5-a7c4-43d8-8d90-9ebf4cda0cce · outbound

This paper cites Com- puters & Industrial Engineering193, 110318 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Com- puters & Industrial Engineering193, 110318 (2024)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.559687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.051213Z digest=sha256:be69fbd7e1715c5e8421b64a0e364132311d8ac08136fe2f05ef6b1968bc510c

Observation 8de9b4ab-7e8d-42bc-b966-2fa04c7ffc32 · outbound

This paper cites Journal of Current Science and Technology13(1), 136–161 (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Current Science and Technology13(1), 136–161 (2023)

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.496567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.117950Z digest=sha256:50069393d296918665f5adf960bcc672a4a2924bcd82f54b58e32204ee2c07a9

Observation e4bb6973-0ab5-465c-bf06-b59171fe7af1 · outbound

This paper cites In: The International Conference on Artificial Intel- ligence and Computer Vision.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: The International Conference on Artificial Intel- ligence and Computer Vision

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.436583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.122321Z digest=sha256:f42dc07b42b78c36b5dbd157c77f8bbc68dcc857acec263f710cfe92133c4e41

Observation 6f0ae268-c5e3-4849-b416-ba3befad3073 · outbound

This paper cites Harvard business review68(5), 105–111 (1990).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Harvard business review68(5), 105–111 (1990)

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.424920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.126397Z digest=sha256:50872adc58d810087eaa625a85200e6c76ec8a770dedff93fdfe5a2c4dd44239

Observation a86bc8f3-4a93-4f5b-a034-d4ca51a105ca · outbound

This paper cites IEEE transactions on visualization and computer graphics 23(1), 241–250 (2016).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on visualization and computer graphics 23(1), 241–250 (2016)

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.413190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.131020Z digest=sha256:1d4228d90728fb6f38e5fc1fdfce57fad326492e47a30f15e017c5bbbe2ffe6b

Observation 3fad8af7-c367-4af1-8b65-bd8a71ecf0c9 · outbound

This paper cites In: CVPR (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: CVPR (2018)

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.353430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.212130Z digest=sha256:3a1c5eaa3b8e6b0dd12eb0f3590fffea6fb8d5d253f491dfa4b1a2e073ab2acb

Observation fa1ccea2-1f0c-49ec-8ff8-41fd5b5a2377 · outbound

This paper cites IEEE International Conference on Computer Vision pp.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE International Conference on Computer Vision pp

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.298612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.262627Z digest=sha256:1407c4b10b1334815bf2fdd5acb3a72ca19c2fe270dd4a574b9c7a008ffbf9c8

Observation b2fcf367-33bb-4045-8995-3ac25c75f033 · outbound

This paper cites arXiv preprint arXiv:2501.18875 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences arXiv preprint arXiv:2501.18875 (2025)

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:25.267234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:25.267234Z digest=sha256:c26545ac2b5f13686ad20726231a549420a6f63700246b51ce536b02fe43653d

Observation d322b3ee-dc96-476d-b31d-04088940142b · outbound

This paper cites Big Data and Cognitive Computing9(4), 84 (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Big Data and Cognitive Computing9(4), 84 (2025)

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.285778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.271000Z digest=sha256:b7194ee6a005051685f7137861bf725e0a21321b2e7136c928f606cd8e2605e8

Observation 47a91635-2f19-4512-b004-909113e896d5 · outbound

This paper cites European Advanced AI Journal11(8) (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences European Advanced AI Journal11(8) (2022)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.195487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.275518Z digest=sha256:a28549bfa3be80fef461e5e3ce9a7a0071ed251d04f21da9931ff97d7f05fdb2

Observation f11ad815-2b9f-4f04-994d-a2750711fa85 · outbound

This paper cites Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:25.278538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:25.278538Z digest=sha256:2a66c09b486608af2fc210202f4f8463582bcfeb419e1fdcb2dcc9274aff5c9f

Observation 02b4f91f-70ab-4694-a333-544dc5e24cb7 · outbound

This paper cites Journal of Industrial Economics (2022) Title Suppressed Due to Excessive Length 17.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Journal of Industrial Economics (2022) Title Suppressed Due to Excessive Length 17

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.181682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.282634Z digest=sha256:b1eef9626a0d79c79429b0c63fca40845ffbf49975a89872d310947be720bdca

Observation 03329095-dd7d-45a4-8691-9de24fa2b779 · outbound

This paper cites Discrete Dynamics in Nature and Society2022(1), 5134356 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Discrete Dynamics in Nature and Society2022(1), 5134356 (2022)

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.085522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.285775Z digest=sha256:91115b8a492ec5169f1b19ce241ac54e24a9a3b03fc3685e5a51895359b567e6

Observation 6ca66d61-f336-4aaa-81f6-b75c43fc675f · outbound

This paper cites In: International conference on machine learning.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: International conference on machine learning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:28.011430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.289232Z digest=sha256:a57bace229325d8fec3d9978c5a93071524e56762fe1224b1350237e9638c783

Observation 5eeef6f1-a1a3-4a0c-bac2-1bcd8e2ad46d · outbound

This paper cites Information Systems Research35(3), 1216–1234 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Information Systems Research35(3), 1216–1234 (2024)

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.976123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.297062Z digest=sha256:e017f10a1248c790a8c66bca0b98dbe3162064d8c15cbffad326427cab1cb0de

Observation 62948cd3-2e12-4391-b69a-5ceb00008d22 · outbound

This paper cites In: 2017 International Joint Conference on Neural Networks (IJCNN).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: 2017 International Joint Conference on Neural Networks (IJCNN)

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.925628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.348257Z digest=sha256:a6ab591dd91a72ded6d021f2ea83e7c02cf3b63689646de8a48b086bcde8c021

Observation 9685ff27-62d5-4fa3-a97b-5eda2ffbc084 · outbound

This paper cites Advances in Neural Information Processing Systems35, 38204–38217 (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems35, 38204–38217 (2022)

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.858700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.390803Z digest=sha256:ad543971b96cea6643b96ec9cdcf751a7eeba407cee05d09b604244908d97ffe

Observation 5cea69c9-40e2-4105-9bcb-87e5886ab147 · outbound

This paper cites University of Antwerp (2019).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences University of Antwerp (2019)

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.792120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.394680Z digest=sha256:35d9bd6068fecbc25f93a4db002e99ebb46e7c88e4d63166b4f09130c74c763f

Observation a1b9f212-34b4-48c7-bb64-e209f2f55777 · outbound

This paper cites IEEE access 6, 1155–1166 (2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE access 6, 1155–1166 (2017)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.718385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.398403Z digest=sha256:5c9ad68c5aa6dc7365b284da9df0b4c85ee21baedbed67a12d223a9ca150c79e

Observation 5896807c-c2a7-4360-ac8d-47cc34ad4e36 · outbound

This paper cites Simulation Modelling Practice and Theory55, 1–9 (2015).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Simulation Modelling Practice and Theory55, 1–9 (2015)

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.606880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.402228Z digest=sha256:4a0b1cad2d9b749c4683b2f7b620bf6ed400035378182eff7c31c1fada9e0a38

Observation f709b981-6b64-4fae-824d-b68b492abf27 · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Advances in Neural Information Processing Systems30(2017)

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.508132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.405424Z digest=sha256:7776df933ea7cc99c0c0e464769631c379da142f271501bcf9df447a83ab70ef

Observation 521f53bd-e0d8-4a6c-98e4-8160a75a59fc · outbound

This paper cites IEEE transactions on knowledge and data engineering25(5), 961–973 (2012).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on knowledge and data engineering25(5), 961–973 (2012)

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.357172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.409384Z digest=sha256:9b4f7e50dffa191f8df0343497a982e436e5294714fa03cb8e76d78e68fa0bb0

Observation 39e50b73-0665-451e-a9c7-828a92fe8069 · outbound

This paper cites Expert Systems with Applications248, 123352 (2024).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications248, 123352 (2024)

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.284164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.461339Z digest=sha256:d2004af16ad066262f0c736a367c974c749c543b2dd73d7f3b3d1d8333e77022

Observation 554a4717-ed5c-4d72-aa4a-63208e46c5ac · outbound

This paper cites Manufacturing & Service Operations Management (2025).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Manufacturing & Service Operations Management (2025)

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.272654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.558761Z digest=sha256:205bfa5f173840d4e219f3ddea5c24650c2d4640cdf9de6b85302375d83ff2cf

Observation 154bd1d8-1e3b-4c8d-ac3f-1e900cc71734 · outbound

This paper cites Imaging Time-Series to Improve Classification and Imputation.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Imaging Time-Series to Improve Classification and Imputation

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:25.563597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:25.563597Z digest=sha256:2899872ecf66867c89e595e544d0b06cec5cfff3c38cfa46160a4659700c18e8

Observation 5b8a5673-5149-451b-8ad6-28ff96f38209 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences ACM Transactions on Knowledge Discovery from Data (2020)

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.169096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.567169Z digest=sha256:bc6e82c835ac23a3cd76ff7138ff060640e23aeca8de1ff9534737e2d1d4bbc4

Observation a7ccf67b-71c0-4e66-b019-a59f25ec7946 · outbound

This paper cites Science China Information Sciences 63, 1–21 (2020).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Science China Information Sciences 63, 1–21 (2020)

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.156792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.570780Z digest=sha256:270468db412c1d33500d277d6660c5660f2e72da3c4fbf2794595e3d8c7934f4

Observation 3cee789c-6b94-4700-92f8-a00e65d07ef2 · outbound

This paper cites RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce

Reference 92

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T19:33:26.116711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.614393Z digest=sha256:8ffb8f813aec1078250bb848387910676f49c340461138f2fa4eff1b2fc6f41b

Observation f7902dbd-12c7-433a-83f3-224c723daf47 · outbound

This paper cites IEEE Access (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE Access (2022)

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:27.088907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.680961Z digest=sha256:aa90b7ca1a9a33f0734594d3befd9f24c69017a9a0d0c1a647c4f5edc770c64d

Observation e68037cd-10dc-4df2-9446-2bad4538d681 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.928814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.685236Z digest=sha256:50c77f79f1fe107f27027821a572405373bb58c98202f234656f001d9a2a0b08

Observation bca1fba7-ecb9-4e5d-8eac-8455d87d5377 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.865426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.689355Z digest=sha256:9a76957d73f93798914ce4f53947af8df7cdd3cf14274a514cb7fe9104a22d98

Observation 5394e5ce-9c07-408b-8b7c-d9769630f4c2 · outbound

This paper cites Master’s thesis, University of Missouri-Columbia (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Master’s thesis, University of Missouri-Columbia (2023)

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.788267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.754542Z digest=sha256:eccb37bd5c5d3e8f0f225b71157719131067bbad1e0f5e93b58eece178a5b3b8

Observation 48958f75-1826-4263-b290-57e8248a6f44 · outbound

This paper cites IEEE transactions on Big Data6(1), 3–28 (2018).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences IEEE transactions on Big Data6(1), 3–28 (2018)

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.671460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.758280Z digest=sha256:bf6a11007427a30922ada754a68b1002945edf82261b7c87de516b6acee60c2c

Observation ff2bfbd5-3cbd-48fb-9f4b-e697bcc034aa · outbound

This paper cites Expert Systems with Applications (2023).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Expert Systems with Applications (2023)

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.592363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.761434Z digest=sha256:857323356431add1b243537620b6087aa9d398560b04fb0e223c35e33f1ac6a1

Observation 25dc7fd2-0733-49fb-82de-204a1f1b5d0a · outbound

This paper cites AI Open (2022).

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences AI Open (2022)

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:33:26.579099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.765113Z digest=sha256:a7ce4751102395ac569f019be2170b583fb1ac0acc78e1d8b6b65c4a231e2d07

Observation f10885a9-fadd-4226-8d42-056158321e49 · outbound

This paper cites an unresolved cited work.

RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-15T19:33:26.483270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T19:33:25.769194Z digest=sha256:d8042f516e70561b479a20d42d3b54e95763e326e72363634e34ccb42ff32561

Pith citing papers

No inbound Pith citation observations are available.