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Paper Citation Record · LEDGER

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2502.06878.

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

pith.paper-citation-record.v1
2502.06878 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:12.541462Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9753f61-91c3-4f7c-8c5e-54e6e436ec88 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 845d7a18-417b-4623-a3ce-ae80736e77ac · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b7ff6b6c-450f-4ad8-b727-4ba2d3456395 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48a6ac9d-5720-4aa9-88c9-85efb01c0d00 · outbound

This paper cites Japkowicz, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Japkowicz, S

Reference 4

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no resolver link, observed 2026-08-08T18:53:12.370740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:12.370740Z digest=sha256:f8db949573af1542c4e1c7bcc8381c09adb309d150972e0347ae5a8faaa1c040

Observation 6fe2085f-8e5b-41bb-aba8-25e441e9063e · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9effadfd-1175-4baa-81d4-5dd3b5e89150 · outbound

This paper cites Khushi, K.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Khushi, K

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9eac81ca-7f60-43b8-94cf-f50185e3c1f7 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e376216c-a1e4-41bb-aa9c-058017c1cb39 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 8

Resolution
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raw_fallback, observed 2026-08-08T18:53:13.014727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 13be10dc-4593-433e-9545-f5ea7e0a4c44 · outbound

This paper cites Tang, Y.-Q.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Tang, Y.-Q

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0728c619-f9b3-467b-b21e-22a6226aa690 · outbound

This paper cites Han, W.-Y.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Han, W.-Y

Reference 10

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no resolver link, observed 2026-08-08T18:53:12.394397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:12.394397Z digest=sha256:81eab745d8a7a3e77df520be917cc96b1b3f9ad359480e30e635db2b8cb48e7d

Observation cea79685-a75e-4d58-89f3-52eaf3e1837f · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d8a8973e-6c04-4c61-bd70-71b32843bd1f · outbound

This paper cites Douzas, F.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Douzas, F

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.401652Z digest=sha256:3bba0817393ce576305a38c98b06ee7fc1f383a84ddcdeb58242a5ff9895f478

Observation 17ccf78b-2250-4240-b14f-ac9475b87ace · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-08T18:53:12.965989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.405466Z digest=sha256:089d540c11c7c201e74272fa02518f0d330a5d9a33e1f7f6262a4163bbcbec67

Observation c541cdfd-0599-4d58-b5ad-ebff26b19276 · outbound

This paper cites Dablain, B.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Dablain, B

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.408954Z digest=sha256:ac12939f749682434cf9b7d3a02bde7f608e71c77b7d8aa2b52a2e59d748246b

Observation ce6c5ef4-2650-4e25-97b8-7e05bbc27c59 · outbound

This paper cites Karunasingha, B.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Karunasingha, B

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.945313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.412704Z digest=sha256:6efb79511bb043ad8c23bea9c5126f127a8125bfe7169d60debf0f97b2eda229

Observation 2baf86f7-f70a-4ad4-85a1-921dad5ccae8 · outbound

This paper cites Sharma, A.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Sharma, A

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.416277Z digest=sha256:064696506bbf677c5271b223eed483e402455f9cb085b7e064f1936e4fef7955

Observation c10d6aa2-9237-4100-970a-d52d1ced63f3 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-08T18:53:12.923891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.419753Z digest=sha256:923dc5f75f1cf6a054aaa8b7f419cd48d8061b4f50faa1c7e2965e9af99af844

Observation 531c950a-6b91-48df-abae-8170f9733875 · outbound

This paper cites Gosain, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Gosain, S

Reference 18

Resolution
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no resolver link, observed 2026-08-08T18:53:12.423248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:12.423248Z digest=sha256:b2b8578617561ca0129ce27e70ce976aa6de7d32142b875d66ed549a2c7def7c

Observation afa7e353-cc2b-4026-98c7-46dd05eb132c · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 19

Resolution
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raw_fallback, observed 2026-08-08T18:53:12.905310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.426726Z digest=sha256:4b4a84cf21699772c3ff79eeb82ab4e39706f0bb101e09b5a0663fdf9d4d287a

Observation 087e8fb7-4fc0-4cc4-873b-260f992b23bc · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 20

Resolution
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raw_fallback, observed 2026-08-08T18:53:12.893886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 270c584e-e6d4-4455-99c6-9cf134082e75 · outbound

This paper cites Tyagi, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Tyagi, S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.883585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9dd7fb99-cc68-4a54-a4ed-7b58ba734f46 · outbound

This paper cites Fern´ andez, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Fern´ andez, S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.872898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.437335Z digest=sha256:9b13b88cea84710f120b577300b6979581453fbe632b9eced4e973594234eaa2

Observation d7f7945a-0d9c-48e7-93e8-1c414b031a60 · outbound

This paper cites Ahmed, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Ahmed, S

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.441096Z digest=sha256:60179b02074370b38ef912db7bfbe2a82e821eb7c308dfb22fa8198c385b48c2

Observation 503ef6e0-9abe-41cf-896b-41f61ff01242 · outbound

This paper cites Oversampling for Imbalanced Learning Based on K-Means and SMOTE.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Oversampling for Imbalanced Learning Based on K-Means and SMOTE

Reference 24

Resolution
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no resolver link, observed 2026-08-08T18:53:12.444696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:12.444696Z digest=sha256:c0b7cc5e6a89f98b60f88c146a71eaab3481af0b7f7bc40d7c3a66be34167960

Observation 86eceb23-010c-4bae-a95e-bbf0cf03cd24 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 25

Resolution
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raw_fallback, observed 2026-08-08T18:53:12.851937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.449153Z digest=sha256:2a09e4306d50ed7d4face0ad35c1019a631017d5f28c329e42301f56bc5fea46

Observation 1edd31cb-24f4-47bc-b18e-89b4fcfe18b1 · outbound

This paper cites Engelmann, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Engelmann, S

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.840348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.452695Z digest=sha256:2b7eda3174bd8bbd054dec63501365747c9a47c5a9e445c9aa9b308848f7d90b

Observation 877afd50-5c64-4cab-ba23-65e4573562e7 · outbound

This paper cites Troullinou, G.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Troullinou, G

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.828938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.456287Z digest=sha256:c54dfcd981d98fe603fc1a6161304aa02256add67747dd0ae6be8c48cb31ec26

Observation c6a56f63-eba2-465d-8fe0-5e57ff5b2a33 · outbound

This paper cites Murtagh, Multilayer perceptrons for classification and regression, Neurocomputing 2 (5-6) (1991) 183–197.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Murtagh, Multilayer perceptrons for classification and regression, Neurocomputing 2 (5-6) (1991) 183–197

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.817976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.459857Z digest=sha256:0e861fc670078a2ed7e97f91a1cc60432814e1ab144e393fd4c3c3bf101a607c

Observation 22954865-d786-4d73-88bf-d95a801ab90f · outbound

This paper cites Kruse, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Kruse, S

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.806350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.463744Z digest=sha256:bf02967b590b8b3170a70849450f3c87a1071c61f00b1e50698fc82da68213f3

Observation 0affeb9e-20af-4ea7-b90d-cdcc94c5c217 · outbound

This paper cites Velayuthan, N.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Velayuthan, N

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.795216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.467240Z digest=sha256:ca3d0edda031d54bc545222dc9bc53e0fb0dcce7cca7dd0a84fbd6c5a77a15cf

Observation c2a59a2c-11ce-43dd-828a-f86065801c2c · outbound

This paper cites Hornik, M.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Hornik, M

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:12.470715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:12.470715Z digest=sha256:a89fa5c2a8a46cdb0e482bcaa8c70ff61fe6572c303efdcc648adc4aa02f5944

Observation a0631ef1-8ead-4846-8d9a-30c1da1f4fb1 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.778434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.474281Z digest=sha256:9bfe0e776e7d61a5d006f7561ca1d461df644c2dcd75e6b1b1547454433d3d77

Observation 482c3882-cadd-41d4-b919-45fea8e98f43 · outbound

This paper cites Chahkoutahi, M.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Chahkoutahi, M

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.768254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.477710Z digest=sha256:6891b4163ebdf9fa0b09ea81bcf49453373b1d36d6ba394185a80ee52ca42665

Observation 1ec3a110-efac-440f-bdc2-9db7194a8bc0 · outbound

This paper cites Hornik, Approximation capabilities of multilayer feedforward net- works, Neural networks 4 (2) (1991) 251–257.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Hornik, Approximation capabilities of multilayer feedforward net- works, Neural networks 4 (2) (1991) 251–257

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.758097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.481236Z digest=sha256:2428ecc364179e4fb47d0bd50e80d760f6ad6b09694b363958f827ed0567759d

Observation 7d99dad7-b30f-4903-960a-11c5736b905f · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.748066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.484868Z digest=sha256:7ee303e4669d4721bd0003828b77c84cccd6dc25874311f9f5395a667a610bc4

Observation 327bf44c-1b66-4f24-9333-e90537ed7570 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.738240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.488697Z digest=sha256:4aaf4f9f8e5063d48e1bb41f6ce425af13dc8f0cd92d9daf07ed6427f3bd2979

Observation 8debd044-e589-40f2-9e25-a99a40029f48 · outbound

This paper cites Fern´ andez, S.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Fern´ andez, S

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.728283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8f99dbe0-ab26-4ecb-a236-cdfb5f546e8d · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.718445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.496244Z digest=sha256:5ac65634f4289840a0de6420c0502f503648ada4fe79e1a96e27da92be50934a

Observation 14064711-d317-4bda-aadf-1e4df9545360 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.707948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.499733Z digest=sha256:4cd8d76bb1f882335237737d7af99c1ad84f7cd6427f7e91537e5611480f08b9

Observation 5a93d5c7-d57b-4b12-995e-2754d9a809bc · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.696887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.503594Z digest=sha256:7c9350645076e93c93321a833f5a3e3189b3dbf2cc6d72fc042de43398f61ec3

Observation ba4e6fc6-8c28-402e-8704-72925c307211 · outbound

This paper cites Menzies, J.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Menzies, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.686799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.507264Z digest=sha256:5ca10fc2ed09f408849a981b2af6d4540032b9f54b96365d233ab88e27cf9173

Observation ae84a878-5e4c-4eaa-8916-b8884ff28340 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.676012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.511068Z digest=sha256:bdc64a977034bcef468ad10469013754dcd478b7d9d5f3cb473849c39ab8a41b

Observation 0cf1b9ea-7e3e-4332-839d-cc531695ad01 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.665596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.514727Z digest=sha256:995d013c758e0fb62531f39de16a56d341aadbc719f5a3ea6ace8756875ee5e0

Observation e51de585-8bdc-4c6c-af35-ffa06f3d2490 · outbound

This paper cites an unresolved cited work.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:53:12.655061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.518363Z digest=sha256:bd04f38b496a871a412b4b107e9244bd7f106a1a10b6c7e883a7bbd27499f978

Observation 22eed4c3-cccf-4bd5-8caa-754dc4e35c52 · outbound

This paper cites Kingma, Adam: a method for stochastic optimization, in: Int Conf Learn Represent, 2014.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Kingma, Adam: a method for stochastic optimization, in: Int Conf Learn Represent, 2014

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.643995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.522286Z digest=sha256:b11f16cb07457676f5282fa73cbc845055a030a5cdb7706c832dc6ff378c0c12

Observation af644d61-60a8-408b-b609-f127f0e9ddc8 · outbound

This paper cites Van Rossum, et al., Python programming language., in: USENIX annual technical conference, Vol.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Van Rossum, et al., Python programming language., in: USENIX annual technical conference, Vol

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.632606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.525914Z digest=sha256:fcb73c876c9af38977b20e3c79ad5992e24fd9863f30ae4f29b63652c94e7800

Observation d85768d3-a8e0-41b0-94ee-1bbff46572df · outbound

This paper cites Bisong, E.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Bisong, E

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.621233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.529644Z digest=sha256:8c1b77894377fa9d1d6723cc76a7323a573d88b82213fdbe5e9b78f0f4642473

Observation d9fd2fe8-5d16-4d0d-8b8e-35ad67ff61ef · outbound

This paper cites Imambi, K.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Imambi, K

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.610172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.533138Z digest=sha256:b7ac7538c4361be18838cb47a3471b7c2b0b27251f8e6cfb124a1527e981cb8a

Observation f2400e57-5b34-4ccc-8750-4a5dbbcf4099 · outbound

This paper cites McKinney, P.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification McKinney, P

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.599172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.536745Z digest=sha256:c0073efc7a741bd5af3e0d2a45d6c61f1b2ec99efebe187f7fe47a066e99f474

Observation ddda8576-5921-4ea2-a00f-e683da67c448 · outbound

This paper cites Bressert, Scipy and numpy: an overview for developers.

Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification Bressert, Scipy and numpy: an overview for developers

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:53:12.587231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T18:53:12.541462Z digest=sha256:ff0802789c0fc56bf87e44f85955ebf97a104344605459dfb6c43eda129994a7

Pith citing papers

No inbound Pith citation observations are available.