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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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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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raw_fallback, observed 2026-08-08T18:53:13.063707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.401652Z digest=sha256:56f1222e4c3fc7b8eb1a5d80b27fdc49aee471c3cd534f4f4865d88fc0f4525b

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.408954Z digest=sha256:1268acade1b452800c0390975a1b9ba6c7f7c20a8ed10751757540cf304260d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.412704Z digest=sha256:05ea6bfec5530fd14cea81fb923082c2f3015cb7d2319e75dccdfcb6dbe7695a

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.419753Z digest=sha256:97386383a6bee30833e3f359d5fa33a1c0db033a0ed66361840f1c691382ca7b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.430152Z digest=sha256:dba63e1a9aa35f394144591c488d02c0bb14c866f747d283adc224eff3b9f9f0

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.433807Z digest=sha256:5e0a9991f24ccf4c696b6f8fc9d6c73d55a9e54d5e02dce6867002b9573cb286

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.437335Z digest=sha256:dcdf3e8aafc5f942badf0d156f796bcf8486e981c8c2a9fe230f80d84d691859

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.441096Z digest=sha256:0225b898ba8e8d6171cdc63e99469944efb875f5bdfadcf96c1529c992016690

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.452695Z digest=sha256:46833e89a12c4c9f013dba0adca2aec3b0005f15ce8c817aa6cd27d74a0aacc0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.456287Z digest=sha256:3c248e01fce6e22695ca0fa70891a64bf758e31cdce5f5dde12c6e826df02f79

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.474281Z digest=sha256:8a7c04ea0807be8ecb2af4677dc556d8bd94767aa123eecce3b5798442c7539b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.477710Z digest=sha256:015f502e5980cd2a6b937819e46f0078b2d4b47cb521d0c8d3b4bf4a2b1af7bb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.481236Z digest=sha256:483534a9bfb7f3764dca7d98ffa5a7e59fcc4bc3c01a256a34d459a014a60f1c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.484868Z digest=sha256:3631afbf8280488dcdf07769f418fc727b2f8aceedd8975f496ea8405f6ae633

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.496244Z digest=sha256:74718cea86e8f7ca96eb4b159009c2f44735730feb0e468ff39d2d86dda645e6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.499733Z digest=sha256:f9ead4b3d35bcae60da24690efb982afe5d31954eb9e44af1983c59076f401f5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.503594Z digest=sha256:642893e4c6650339c95b5bac16f429bbc5187dee0dcc45a05541f772eaee8f33

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.507264Z digest=sha256:a3df019963055108be0049be8774edf8e2d1e2e9416c9f035dbbc5789387ccf2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.511068Z digest=sha256:2bdd5c7239d9c1bfaa700b21ee5176f89e256a33e64ff0085106df4f3de54ccc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.514727Z digest=sha256:9b43b565ca9ea94cc5e6faf1e67ed16967546b7041791dfc43527abc588570d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.518363Z digest=sha256:a3e70554f54ed6cdf9251a504b55e18a3d51fddfdd5032ec8b504c66f8e2549e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.522286Z digest=sha256:f7d2c3e7f450919e210b4ba195f898f468b5f0d0f7f8bf53e4de77a0689e8666

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.525914Z digest=sha256:17eac3e41f0e1cb05642becbf9179c4f05580fba4c65a49008b671e6381fe20c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.529644Z digest=sha256:cd7e172434448de843df10145766d9bf6013ecc0e8edfaaef9a8f6350c8f422e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.533138Z digest=sha256:8565357512964678d6c345e35a3770a1a8f28727438ed36eb9ebea59e472276d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.536745Z digest=sha256:485f6f46e7f84f21e3bf7a7bf814e42db429b096698cce0206d8e275cf2afccd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:53:12.541462Z digest=sha256:e6a8c6162b81a3596c17c65cfeae2177846a6823cf64425f64deef6de64def0a

Pith citing papers

No inbound Pith citation observations are available.