Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T00:23:45.172352Z
Paper Citation Record · LEDGER
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0
As of 6 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2604.22857.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
70 of 70 outbound references displayed
- verified exact38
- verified fuzzy10
- unresolved8
- parse uncertain0
- malformed identifier7
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bbaf9c0a-5b98-405c-9b5b-eaca0497dbd5 · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.725973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c0c89f56-bf1f-4e2b-8fbd-bf38901fcfcf · outbound
This paper cites The system employs edge computing for low-latency defect detection and predictive analytics to enhance process reliability [18, 49].
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 The system employs edge computing for low-latency defect detection and predictive analytics to enhance process reliability [18, 49]
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.730142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d653c716-7eeb-43a1-b9fa-3fb9c49cbd7e · outbound
This paper cites A high precision score indicates that the model has a low false positive rate, ensuring that detected defects are truly present.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 A high precision score indicates that the model has a low false positive rate, ensuring that detected defects are truly present
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.739818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4398b28b-55ed-4552-952a-b81314eb3b72 · outbound
This paper cites A high recall value indicates that the model correctly identifies most defect instances while minimizing false negatives.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 A high recall value indicates that the model correctly identifies most defect instances while minimizing false negatives
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.722039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa56d794-a1c4-4187-991b-dd6d2d563bc1 · outbound
This paper cites It is especially useful in cases where there is an imbalance between defect and non-defect instances.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 It is especially useful in cases where there is an imbalance between defect and non-defect instances
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.734489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d7b24d12-f223-4011-8961-95f76db0e625 · outbound
This paper cites It provides a general measure of the model’s effectiveness but may be misleading if the dataset is highly imbalanced.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 It provides a general measure of the model’s effectiveness but may be misleading if the dataset is highly imbalanced
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.745382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4fd90637-39bb-4d0b-a3e9-257683770611 · outbound
This paper cites This refers to the time taken for the CNN model to process an input image and classify it.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 This refers to the time taken for the CNN model to process an input image and classify it
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.718041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0d59ad7b-b0a8-4176-9061-040a6bf16e1d · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.713603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bec863f2-4220-4d84-a823-5abd660364ea · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.750456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ed49b8a-8055-49c0-aec1-c4d782b6f681 · outbound
This paper cites Additionally, multimodal data fusion comb ining thermal imaging, ultrasonic sensing, and optical microscopy will further enhance defect characterization.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Additionally, multimodal data fusion comb ining thermal imaging, ultrasonic sensing, and optical microscopy will further enhance defect characterization
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.800730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 81a9ac21-c627-42b6-960c-22b94ecb93ac · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.774747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b9a5b01-81c1-4f34-aab0-24b96f11e59f · outbound
This paper cites (No Title).
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.766922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ff7459b1-3486-46bd-a8d5-71dce38f6b8e · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.791859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cf92c0e6-e451-4129-a5b9-5d3a9be166ed · outbound
This paper cites Chinese Journal of Mechanical Engineering: Additive Manufacturing Frontiers 1:100055.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Chinese Journal of Mechanical Engineering: Additive Manufacturing Frontiers 1:100055
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:46.363158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b33dcd72-9232-4812-8910-f72bb885f807 · outbound
This paper cites J Alloys Compd 864:158803.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 J Alloys Compd 864:158803
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.378646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 634c6554-24ed-4bc1-a50e-219fe7063017 · outbound
This paper cites Superalloys 2012 577–586.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Superalloys 2012 577–586
Reference 17
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.368752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ad0dbbc-62da-4ea8-85b2-ab69b9cc7aee · outbound
This paper cites Mater Des 89:770–784.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Mater Des 89:770–784
Reference 18
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.372281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46029184-0870-454b-965e-22a32140fb0b · outbound
This paper cites Opt Laser Technol 124:105984.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Opt Laser Technol 124:105984
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.390169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d6ade72b-472d-4dbf-a0aa-6215ee6afb64 · outbound
This paper cites A., & Khoshnevisan, M.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 A., & Khoshnevisan, M
Reference 21
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.366891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7213d59-46c5-4392-8837-6d5e7ad60afc · outbound
This paper cites International Journal of Advanced Manufacturing Technology 120:5117–5129.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 International Journal of Advanced Manufacturing Technology 120:5117–5129
Reference 22
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.325936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82394751-c9d3-4759-a2ba-986e747ded2f · outbound
This paper cites Materials 2018, Vol 11, Page 106 11:106.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Materials 2018, Vol 11, Page 106 11:106
Reference 23
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.337437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1157cb27-620f-4fde-add5-0826af9a9370 · outbound
This paper cites Materials Science and Engineering: A 732:228–239.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Materials Science and Engineering: A 732:228–239
Reference 24
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.303354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 96c1099b-b176-4056-b1f1-e93b3d523c18 · outbound
This paper cites 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) 119–122.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) 119–122
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:46.317652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03d88fc3-c4bf-4650-a95f-7a602b37bdad · outbound
This paper cites 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) 119–122.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) 119–122
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.331023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4bffd04b-3abb-4386-b51c-8bbb758a28af · outbound
This paper cites Eng Fract Mech 268:108467.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Eng Fract Mech 268:108467
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.306109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cae19242-06f4-4f8c-b394-7f7cc138667c · outbound
This paper cites CIRP Annals 65:417–420.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 CIRP Annals 65:417–420
Reference 28
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.339146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 30294a13-09b3-49f3-847b-1793261fd922 · outbound
This paper cites Rapid Prototyp J 25:530–540.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Rapid Prototyp J 25:530–540
Reference 29
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.327861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 75c0eac1-d220-402d-bbaf-ec5b3ab484b4 · outbound
This paper cites J Intell Manuf 31:2003–2017.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 J Intell Manuf 31:2003–2017
Reference 30
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.322323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d7deffc2-a64c-44d6-a331-193f2486c86d · outbound
This paper cites IEEE Trans Industr Inform 18:3820–3830.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 IEEE Trans Industr Inform 18:3820–3830
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.320416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3d780514-6606-4f07-b1c1-97ff2b83d5ed · outbound
This paper cites Nature Communications 2023 14:1 14:1–11.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Nature Communications 2023 14:1 14:1–11
Reference 32
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.312737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1fc27575-7aa9-4292-b83d-6f45f000dbf8 · outbound
This paper cites IISE Trans 51:437–455.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 IISE Trans 51:437–455
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:46.310835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e0eea493-8b5e-481b-aa18-c6f36c1d5f4a · outbound
This paper cites Expert Syst Appl 255:124678.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Expert Syst Appl 255:124678
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.335538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 302302e3-e978-4ee5-be6e-21d91a0de94a · outbound
This paper cites Addit Manuf 24:273–286.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Addit Manuf 24:273–286
Reference 35
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.314574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23c82b91-1724-42ef-bdef-2557e9d2b5de · outbound
This paper cites Progress in Additive Manufacturing 2024 10:1 10:171–185.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Progress in Additive Manufacturing 2024 10:1 10:171–185
Reference 36
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.323987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34344c04-d185-4646-9a63-7e464b7bb838 · outbound
This paper cites Comput Mater Sci 207:111262.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Comput Mater Sci 207:111262
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.398810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 56fbffe5-24a1-4587-8587-2ac994dbdcf1 · outbound
This paper cites Addit Manuf 58:103007.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Addit Manuf 58:103007
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.415809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3d06777f-ba9d-45a8-ac7c-1936f87e96c9 · outbound
This paper cites J Manuf Process 133:524–555.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 J Manuf Process 133:524–555
Reference 39
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.419603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a029bab7-75e8-4dc0-8083-1b17216c57e1 · outbound
This paper cites Krull, P.
Reference 40
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:24:46.413101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b7e6bb1-3d14-4156-bb21-1875e2ae1610 · outbound
This paper cites ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 8.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 8
Reference 41
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.392046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation afbdcefc-ecce-4de7-a051-baf75b6b8225 · outbound
This paper cites IEEE Robot Autom Lett 6:6032–6038.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 IEEE Robot Autom Lett 6:6032–6038
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.396341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f74fd2f4-35ca-4f88-8611-c91d4dafbf6b · outbound
This paper cites https://doi.org/10.32657/10356/180195.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 https://doi.org/10.32657/10356/180195
Reference 43
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.393804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 351ab2aa-25a4-4b06-9855-7d4ac7a7c418 · outbound
This paper cites Kaufmann, D.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Kaufmann, D
Reference 44
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.417932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 458ea1a4-85f8-42fc-80e8-a0a6f78f20ee · outbound
This paper cites Compos Struct 348:118514.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Compos Struct 348:118514
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.401194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 53cbc93e-5944-483a-b1a7-4a9005c824a8 · outbound
This paper cites Sensors (Basel) 22:494.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Sensors (Basel) 22:494
Reference 47
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.411352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23e825e4-c8a2-4159-b115-9fc32916f36b · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.756933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 97ad434d-29c9-449f-b555-aa1e430aa9e3 · outbound
This paper cites Air force vehicles.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Air force vehicles
Reference 49
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.406965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c3f507d-21fa-4b9b-b14a-1c5955e4b832 · outbound
This paper cites A review of the roles of digital twin in CPS-based production systems.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 A review of the roles of digital twin in CPS-based production systems
Reference 50
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:24:46.402879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0f282e2e-9e4f-401c-b102-83db77c5c344 · outbound
This paper cites Kritzinger, M.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Kritzinger, M
Reference 51
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:24:46.404600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 783a7f5a-97fd-4f01-8a7c-65939ea08efd · outbound
This paper cites Industry 5.0: Prospect and retrospect.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Industry 5.0: Prospect and retrospect
Reference 52
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.409473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 392d6d83-90c1-4ddd-839e-532a294cde62 · outbound
This paper cites Procedia CIRP 118:717–722.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Procedia CIRP 118:717–722
Reference 53
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.358712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed58e532-9e22-437e-946e-800543b06a95 · outbound
This paper cites Addit Manuf 48:102388.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Addit Manuf 48:102388
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.356761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f6ab8819-d64e-436f-8258-7c7f6cc07833 · outbound
This paper cites The South African Journal of Industrial Engineering 32:37–43.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 The South African Journal of Industrial Engineering 32:37–43
Reference 55
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.374233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2323e6f0-fd49-419c-8eca-b3ee716f3d3c · outbound
This paper cites Int J Prod Res 59:4811–.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Int J Prod Res 59:4811–
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.761596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 39e524d1-5cc8-4b91-ab95-ff0eb3f3ca1c · outbound
This paper cites Liang, C.
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:46.341792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aadaa8d9-3809-4dde-a24e-b6e4f8b6a6a6 · outbound
This paper cites Int J Comput Integr Manuf 34:1177–.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Int J Comput Integr Manuf 34:1177–
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:22:55.796336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 757c995b-c541-424f-9407-aeaa39b54050 · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.387644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bebf55a7-15f9-4d7f-b797-4ea721a4382a · outbound
This paper cites Sensors 2011, Vol 11, Pages 9628-9657 11:9628–9657.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Sensors 2011, Vol 11, Pages 9628-9657 11:9628–9657
Reference 60
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.360467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ee579e43-e702-45b2-abe5-3a3d6cc36de6 · outbound
This paper cites J Healthc Eng 2022.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 J Healthc Eng 2022
Reference 61
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.376104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a5bb3f15-4124-4ef2-90c4-7529b14018e6 · outbound
This paper cites 2019 19th International Conference on Advanced Robotics, ICAR 2019 420–425.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 2019 19th International Conference on Advanced Robotics, ICAR 2019 420–425
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.347745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 39b372a5-875a-4a9a-abdf-126b52e3de99 · outbound
This paper cites Results in Engineering 22:102003.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Results in Engineering 22:102003
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.383420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5cd3478d-4a40-445c-9142-8447c5823425 · outbound
This paper cites Eng Fail Anal 119:104908.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Eng Fail Anal 119:104908
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.344807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c6c17d4e-478f-46bf-a52b-537a62499599 · outbound
This paper cites Materials 2018, Vol 11, Page 2467 11:2467.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Materials 2018, Vol 11, Page 2467 11:2467
Reference 65
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.370493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fdac9e60-8d46-4ed8-9607-d28aa529cc91 · outbound
This paper cites Pound and B.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Pound and B
Reference 66
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:24:46.364928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 831bd14b-b4a7-4ec5-9a98-53602edcce6b · outbound
This paper cites Pattern Recognit Lett 33:227–238.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Pattern Recognit Lett 33:227–238
Reference 67
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.385135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 396bea36-afed-4531-91d4-f83edae7375d · outbound
This paper cites https://doi.org/101177/1475921719883202 19:1440–1452.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 https://doi.org/101177/1475921719883202 19:1440–1452
Reference 68
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.380917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 90270635-483e-46ba-a088-3240ea5c2f1f · outbound
This paper cites M., & Srivastava, A.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 M., & Srivastava, A
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:46.350220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b293c220-076e-4839-93dc-28054f8e1f24 · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.805811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6f47121d-e0c3-4fea-b69f-b70a480a522a · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T11:22:55.810021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f81fc10e-7e83-4162-8c19-ec1184b45100 · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 72
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.308072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea4f731d-e739-4cdf-b4ea-5dd7a9cef29e · outbound
This paper cites an unresolved cited work.
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0 Unresolved cited work
Reference 73
- Resolution
- verified exact
- doi, observed 2026-05-10T00:24:46.332880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.