Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:26:30.640229Z
Paper Citation Record · LEDGER
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.01261.
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 2026-08-17T06:30:58.91139+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
58 of 58 outbound references displayed
- verified exact2
- verified fuzzy32
- unresolved24
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0a23238c-54d2-46ee-8529-c553657c0439 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.249328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6dbb5808-dc7c-43f5-8d88-46e1e7a9bc79 · outbound
This paper cites Trabelsi, M.
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 03256edb-154a-4421-9418-8594a1146da9 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-16T04:26:30.731249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2073091e-2968-447d-b9b4-cc5f98e96563 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.216935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 14a2e53d-6fa6-4c66-b4b6-a8e365684017 · outbound
This paper cites Zolghadri, M.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:32.196754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0c14e7c5-2810-480a-8bdf-fc3445c0727d · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.176142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 69ed05ef-c728-476d-ac5f-65d6d596fb5c · outbound
This paper cites Zolghadri, S.-A.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Zolghadri, S.-A
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:32.152374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 096ccf00-fd42-47d3-bb83-523be48527fe · outbound
This paper cites ´Zróbek, Remarks about methods of recognizing types of depre ciation and obsolescence, Studia i Materiały Towarzystwa N aukowego Nieruchomo´sci (2011) 65–72.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications ´Zróbek, Remarks about methods of recognizing types of depre ciation and obsolescence, Studia i Materiały Towarzystwa N aukowego Nieruchomo´sci (2011) 65–72
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:32.128539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e0f0328-2394-4bb9-9fa9-2e76a0d72a41 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.098499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c7f23f95-eab2-4c20-b774-e9dca79e2ef6 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.060385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45846e79-c20d-459d-ba95-609bb85f9a66 · outbound
This paper cites Jenab, K.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:32.034352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2fe8d2b9-601f-407d-9516-66af6a35bc63 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:32.004468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c0f3f5d6-3408-4f87-99b7-1b237ef3fdb7 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.978294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5071bebf-cdc2-4919-8913-65d769c7ea95 · outbound
This paper cites Tchuente, J.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.954113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a520d779-efd1-4256-9701-015e17545e48 · outbound
This paper cites Culot, M.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.928147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 55a36d8f-6aae-45f6-97aa-fff44b715756 · outbound
This paper cites Trabelsi, B.
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.887387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05d8fa15-4cca-4022-b81c-cfda656ed316 · outbound
This paper cites Jennings, D.
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.807907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91351828-f530-45d7-83a3-08c1ae72e91d · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.754487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3315d227-166d-4cd4-8e1c-2300f4f3666d · outbound
This paper cites Zhou, Machine learning, Springer nature, 2021.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Zhou, Machine learning, Springer nature, 2021
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.356495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfea22c3-7c65-42be-bc56-eefec0133763 · outbound
This paper cites Hubauer, S.
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.716764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bc8cc79b-ed24-421a-bf94-9d0f53517010 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.683750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbd92de4-247b-412c-b4d5-332ec4b5e515 · outbound
This paper cites Libes, S.
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.642840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2b8bcc88-757d-4f43-a75c-814bf731fa32 · outbound
This paper cites Grichi, Y.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.614548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bbd229b0-b3d4-4166-8dc2-81c20a2d992c · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.577914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d1fa55ed-c0a0-40a9-9b8c-15b7ef97d28a · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.547637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 192f99dd-f243-4f82-860d-28a431aea4f8 · outbound
This paper cites Cholaquidis, R.
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.516088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8a6f462e-f119-4780-9fb6-ce16e3238059 · outbound
This paper cites Breiman, Random forests, Machine learning 45 (2001) 5–32.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Breiman, Random forests, Machine learning 45 (2001) 5–32
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.402887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d83f994c-f36d-49f4-befa-1e5cc2bf5808 · outbound
This paper cites Grichi, Y.
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.464131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ce0c4426-c297-41e7-b685-8a2d24a79e48 · outbound
This paper cites Grichi, T.-M.
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.428379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f82aae7-250b-4fac-ba24-1d0e88fbd9a1 · outbound
This paper cites Sierra-Fontalvo, A.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Sierra-Fontalvo, A
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.396645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ab99741-e64c-45dd-a52e-a5b035b89d95 · outbound
This paper cites Goodfellow, Deep learning, 2016.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Goodfellow, Deep learning, 2016
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.428179Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a74ca56-2008-4675-8acc-c95561d63a71 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.350042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 86103c41-fa2d-4842-8723-0f2f56b2ad08 · outbound
This paper cites Density estimation using Real NVP.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Density estimation using Real NVP
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.443143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e87f9903-1c85-4c40-8f19-4661f45dd433 · outbound
This paper cites Xu, et al., Synthesizing tabular data using conditio nal GAN, Ph.D.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Xu, et al., Synthesizing tabular data using conditio nal GAN, Ph.D
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.322981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d28b3f80-eac9-4f02-8d16-0396597ca147 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.304323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ffa7f74c-a9d8-4520-9af3-cb608a848909 · outbound
This paper cites Srinivas, R.
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.284768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4c8a69c4-0879-4959-a839-612683c669fa · outbound
This paper cites Srivastava, G.
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.260037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 76f20343-14fd-4a78-ba2d-14bbf990a0c3 · outbound
This paper cites Janakiramaiah, G.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Janakiramaiah, G
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.232089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1b6a5462-6735-4255-9854-dbe5b3904251 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.211624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eccdeff9-f700-4c36-9b1a-97df8215baf7 · outbound
This paper cites Fournier, D.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.191719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 410d4a48-73a8-4fce-b1ab-6b2db610efed · outbound
This paper cites Self-Training: A Survey.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Self-Training: A Survey
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.503291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93ea9607-d739-4b46-a6b8-b3f83d4c6e03 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.168586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 30305ce4-ccaf-4aa2-8af5-2eba6f03a812 · outbound
This paper cites Carrara, J.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.141343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9ee44f23-3af9-4d29-be50-55bd89b5b754 · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.116109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 60cc22a9-1216-43d3-8a0f-cf9063972b22 · outbound
This paper cites Chakraborty, Topsis and modified topsis: A comparati ve analysis, Decision Analytics Journal 2 (2022) 100021.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Chakraborty, Topsis and modified topsis: A comparati ve analysis, Decision Analytics Journal 2 (2022) 100021
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.092494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6c2d6c49-141f-4ee7-8aea-d2e170ca321d · outbound
This paper cites Hodges Jr, The significance probability of the smirno v two-sample test, Arkiv för matematik 3 (1958) 469–486.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Hodges Jr, The significance probability of the smirno v two-sample test, Arkiv för matematik 3 (1958) 469–486
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.063959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 041eb2d5-98d2-42a3-b499-09e35e0d198c · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:31.039673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 00df2e3b-c92b-4d92-a163-2dd435d3ebdd · outbound
This paper cites Taboga, Lectures on probability theory and mathemat ical statistics, (No Title) (2017).
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Taboga, Lectures on probability theory and mathemat ical statistics, (No Title) (2017)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:31.012695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 931d0bf8-c288-40d1-80ca-ebb7638b2b0f · outbound
This paper cites Utility Theory of Synthetic Data Generation.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Utility Theory of Synthetic Data Generation
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:26:30.570177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f80c888e-e37a-48e4-b963-ef4f2cc3ab69 · outbound
This paper cites Shalev-Shwartz, S.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Shalev-Shwartz, S
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.985271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b1240f8d-99ba-41cf-a290-834954bd3a42 · outbound
This paper cites Hastie, S.
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.964289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 874d957a-1247-4457-8f92-4a44199647c9 · outbound
This paper cites Saad, Zenner diod obsolescence dataset, 2024.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Saad, Zenner diod obsolescence dataset, 2024
Reference 52
- Resolution
- verified exact
- doi, observed 2026-08-16T04:26:30.699387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3e38ebd-ed73-454e-94c7-7f5fc2cc08c8 · outbound
This paper cites Smirnov, Table for estimating the goodness of fit of em pirical distributions, The annals of mathematical statist ics 19 (1948) 279–281.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Smirnov, Table for estimating the goodness of fit of em pirical distributions, The annals of mathematical statist ics 19 (1948) 279–281
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.943440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 31ee1330-2d6e-4b99-942c-d44b091500a9 · outbound
This paper cites Hastie, R.
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.919932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 833be871-f397-420e-87da-1088d98ba25b · outbound
This paper cites an unresolved cited work.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:26:30.896286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 99921aed-29b0-4bd9-94ee-989c1c942b75 · outbound
This paper cites Calders, S.
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.877657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3f60843-5d11-47bd-bfbe-0c7f51581878 · outbound
This paper cites Papamakarios, E.
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Papamakarios, E
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.860283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 475b181d-a32a-4bd2-ad9c-cca170e7cc32 · outbound
This paper cites Kobyzev, S.
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:26:30.837376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.