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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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.

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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 2026-08-14T06:32:32.682623+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.408954Z digest=sha256:cdbdcfa3c241155793f849fca070b533f1f7b0a37d9a4aea7444ff85f3e33c9c

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.412704Z digest=sha256:922e8044d7e59b39693230906da6d61b969bc34a22a6ad352799c2b173514674

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.416277Z digest=sha256:2a57db31636fffe19e5aff913364cc5df374a6c58ac02e1f3d8e05a45af43b93

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.419753Z digest=sha256:e3b6571c8ac65a0787cc325f687bb170980acc529bf41df9f6ccc39a1009d142

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.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.441096Z digest=sha256:a351e4a685d35d154debc7fe8bb2d45cf408a9e0dbe1e59bc42320484381066e

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=sha256:80dee298080af2557c3d21d961e2973af194fa9a54ba69bced3ce72fb36295d7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.449153Z digest=sha256:5b6a1598a7459d0cd8a0dc5aaaecb25dae4b2be31d263c055744e16104f528ba

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
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=sha256:65c6dd1f4a0cf96baff0f883e763965128d0b5661c69a818465f133dbe1be253

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.474281Z digest=sha256:dd73fa4e137f469d6846be55735579eb9f52224d22135057f24800edbda7c2d2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.477710Z digest=sha256:41c1778cca999369fa2c578bdb3fc493d51d51d2a42a3205b2015b63e59d1b2f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.481236Z digest=sha256:2ed8be9102b1223fa1429a99978590c3215fe0cdd50883cc5167d48b263ba3f3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.484868Z digest=sha256:e8bb4c146448ebe06860f20866677b2516ccdff713f7a2ed144decd2265004ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.488697Z digest=sha256:0a7da36c90da1c195a511c44bafd6b28159dad27926310f77c2063676f69df4d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.492655Z digest=sha256:4131a7b96ffd4ee980fcf7fb72f3476d649ee51009a464d9580063737a7ffab9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.496244Z digest=sha256:c51b7d3d7c8dd8ca0011c23c783a03948036d6efebecdb4d8c0b447cae589768

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.499733Z digest=sha256:55fff39f982af7b6165d278541cb6ba91817dd53a04b9739f5673123db98885b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.503594Z digest=sha256:e4d13e1c1bf230335405d5763a570873de57ed10e2dbdbe78f8cbfb5a556138a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.507264Z digest=sha256:3da3f6704b0d74a0dce42103286d85612f1bb8de6be694a06a627d5e8cf2537e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.511068Z digest=sha256:6db37d8dbedc700834f51c5e704bb51ce3ec04996eae543bccdc3f198000644c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.514727Z digest=sha256:c00001bdb30955652d19fcfd4dd0b0d9e1f7d8c6740204f4c665f8e1b2993a66

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.518363Z digest=sha256:aada3af8234167e233e4495dfc0b70e3ec4950c0efcfbdbcac7cc9992aa11725

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.522286Z digest=sha256:aa313fcfd4e086dc6c1d13d8b930c051cef1c43a898f3299f9446c6c7e65dc48

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.525914Z digest=sha256:611efa968e6e7f98dd4ad4875f375e26c74d7ad6201f8534dcff117f1838e682

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.529644Z digest=sha256:d9e05d50bcc0191400d1be897b3dac3f37b39cbe5ff2dabcaaab14f12996647b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.533138Z digest=sha256:f6a60fcb2293f8e7f8b31f33bc5564cfad73064b68d0fb169b89bfc20394828e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.536745Z digest=sha256:0a6ae3bf39c3fa5744f36bd094a581b45e49cc9eb41e086c6a0f349556b08a18

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:53:12.541462Z digest=sha256:4e3c1420f6e539cc1c3f70ee0775c49c74dcc62d151a99b88cc19002cd0862f8

Pith citing papers

No inbound Pith citation observations are available.