Pith. sign in

Paper Citation Record · LEDGER

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata

As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2510.22266.

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

pith.paper-citation-record.v1
2510.22266 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:12:19.207638Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

73 of 73 outbound references displayed

  • verified exact29
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f0c8349-c92b-4072-abd4-21065730e153 · outbound

This paper cites , Al-Samarraie , H.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Al-Samarraie , H

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:12.690689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:12.690689Z digest=sha256:fa17c72a0571cf0f8e5c967904145f62fcea43c87769668efc78afc48d2811c1

Observation f2406847-233f-4aec-babd-47f7bc9adf63 · outbound

This paper cites , Abduljabbar , Z.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Abduljabbar , Z

Reference 2

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.734170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:12.759080Z digest=sha256:713c6d45671d915a7d32d200caad0663ea85c28ca4463ab61c256aa6d0d5e2e5

Observation 35e6dc03-be80-4d8c-b7d6-0b8f1ebb27ff · outbound

This paper cites , Berrada , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Berrada , M

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:12.873142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:12.873142Z digest=sha256:74f38a10954ac060ca67c9d96435c44e1106201d64dbfcc631714a59ad7658c2

Observation 7d991572-6f13-43ec-ad29-a86f2dd8eb53 · outbound

This paper cites , G \'a mez , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , G \'a mez , M

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.030762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.030762Z digest=sha256:93eb711ba8245667ccd9dedd88142b4dba51c78752d9c9f174adc4096e501a62

Observation 3b760852-ad5c-45aa-ba4f-2689dc87f952 · outbound

This paper cites , Karabatak , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Karabatak , S

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.159930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.159930Z digest=sha256:2744c3f795382bb15f20fba4bc5a3eeb7a67208c06dc8c7232e2cd39ec38da00

Observation f5c4ace9-bda0-4ff8-a430-45bfa0f5c149 · outbound

This paper cites , Soares , J.F.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Soares , J.F

Reference 6

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.565026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:13.233581Z digest=sha256:f01beeb7d2721860f86b98f4420c47e39f98e4d88d0725a5b16437dec6853b0e

Observation f6e88888-793c-4713-8c96-2e06d64e7af3 · outbound

This paper cites , Sehgal , R.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Sehgal , R

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.313833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.313833Z digest=sha256:697737ea78ccf7c7816dce3ef77ccccf9a87701d02676f16a24a15eda2570f63

Observation 021baeee-8ec0-4c0d-847d-7f0e1922aae6 · outbound

This paper cites , Zaki , N.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Zaki , N

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.400125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.400125Z digest=sha256:515e7aca4fd9fdebad755a59b078a55373443ac8f192d996b5eed66aed343e5d

Observation f5faff74-88a6-4eb0-8bd7-fbd5ba5ac13b · outbound

This paper cites , Artar , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Artar , M

Reference 9

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.459410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:13.475138Z digest=sha256:c01c7bdbff960938f83d8a10f06e907cc06eddfda73c6d277a1a01cb309282ba

Observation 0f7c9cd6-a698-4c73-b4d7-d3b003e61ff0 · outbound

This paper cites : The world bank and unesco institute for statistics (uis).

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : The world bank and unesco institute for statistics (uis)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.542258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.542258Z digest=sha256:5f3c81fe6bdf043e7e13eb3f16477c62b3c8a281ac868675f2855c65b778bf78

Observation 93a86455-0caa-4e05-8d32-599f6d614e76 · outbound

This paper cites , B \`a ssolo , \'A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , B \`a ssolo , \'A

Reference 11

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.344428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:13.643356Z digest=sha256:3f38f07613ea01d18e77ad4c96e5549158c3ded56e5515190754fb79b8853bf5

Observation bab1193c-8ff2-4300-bb72-bc38d0840a90 · outbound

This paper cites , Csorgo , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Csorgo , A

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.695654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.695654Z digest=sha256:3b2213e32366c38e012ffe8c61728668c2942d251a835941779ea13c60f7e16e

Observation 0a3aba89-621e-4d55-b45c-80203b8a0e5c · outbound

This paper cites , Gintis , H.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Gintis , H

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.747388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.747388Z digest=sha256:e516f2b78e2053f300a9e1c68d9d0fecc6ac908882b5ba7090510cedac7c2407

Observation 94514d4c-5e0d-490e-a7a6-b6bb99c02b6a · outbound

This paper cites , Guzm \'a n Rinc \'o n , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Guzm \'a n Rinc \'o n , A

Reference 14

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.212174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:13.796225Z digest=sha256:4bd08f5852ea35600489fbc3763ad5d474fd6bf3c974cf015af5f7f2e9eee5e7

Observation f530caac-0341-47ae-b4ba-1b82202d9043 · outbound

This paper cites , Gonz \'a lez T \'a mara , L.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Gonz \'a lez T \'a mara , L

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.861167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.861167Z digest=sha256:b4ccb2a08f9cb48efff2517b34f7d4d8450f8bcbb682c94cbd0e49bf483c04cf

Observation 8172e498-2fc6-412d-ace9-87cbeb06a87f · outbound

This paper cites : The Forms of Capital.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : The Forms of Capital

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:13.968088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:13.968088Z digest=sha256:c64fac66f51312a61fb0213ea707ba6ed807d9d48c809ed428cad0a4b3073628

Observation 6d5a0143-abe3-43c2-8124-e4a5c0aca34a · outbound

This paper cites : Random forests.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Random forests

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.102653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.102653Z digest=sha256:39a325bbe43a9e87529f6063f3f8fb38bc7f27b39d21d4b8339179bdcdfa7974

Observation 329c745b-e77a-4bbe-b433-704ccc499f27 · outbound

This paper cites , Dutra , B.L.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Dutra , B.L

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.218453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.218453Z digest=sha256:c194bf7f0840abfaa3a8408948b25f3ac62479296089fff24c4712c88f8135ee

Observation a7db4735-2a54-4602-ab19-01afd7add852 · outbound

This paper cites , Ezeife , C.I.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Ezeife , C.I

Reference 19

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.133069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:14.339991Z digest=sha256:6cdd0f0df2c4f94b328fd0a1ef01447dd4648e3d9bd31db884a26942114ad00c

Observation 39f2f50d-2a58-40ec-b7ae-8f7b5fee86cd · outbound

This paper cites , Guestrin , C.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Guestrin , C

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.492567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.492567Z digest=sha256:7bf1c2bd9d44907f23f3ac0b677e33d3a99bb495f26ffcfc3afa4b875853ef22

Observation 58f8e546-beba-458e-adea-bfe9440b5d0e · outbound

This paper cites , Khoroshavin , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Khoroshavin , A

Reference 21

Resolution
verified exact
doi, observed 2026-08-04T08:13:30.048351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:14.586601Z digest=sha256:d5d4339d998487c5c3194ebe4d8f82e564e7aa00118efc261f113ae7ed8a7a2e

Observation 6deeef01-a538-4581-9f2a-c79054c88d29 · outbound

This paper cites , Pereira , E.M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Pereira , E.M

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.681345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.681345Z digest=sha256:3498eca193e80314039d0e2ad7efd05902b47c1a3cecdf9914cecbe24e2ba078

Observation 57435485-ef70-4652-b8b1-b5ed44dcfd7f · outbound

This paper cites , Thompsen Primo , T.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Thompsen Primo , T

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.744777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.744777Z digest=sha256:40b863fb43ef0f6d5f5429d90c725ae68bef15e89727fa46bf21f31bd2938ebb

Observation d20f34ad-7fbe-4a1d-9f0c-a580b088f659 · outbound

This paper cites , Dia , N.J.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Dia , N.J

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.833653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.833653Z digest=sha256:78be03363e2836fece6c3ae5e3662c67e227ed446e841cc9b4d4ab2818b2fb4a

Observation bd966117-f6ba-41ef-8f75-a174e7cbbc73 · outbound

This paper cites , Ershov , V.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Ershov , V

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:14.927664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:14.927664Z digest=sha256:6d46dac1a5701dc9215e4c00a40307155aa1c82fe314e21ed0c6c82a19d85d71

Observation a5a6dfe3-893e-4736-bff3-558486a545aa · outbound

This paper cites : Ensemble methods in machine learning.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Ensemble methods in machine learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.034005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.034005Z digest=sha256:2a682a9bcbef0d8430ee31d9c7d97d7e7e3081f2af2d706e1ac2f693fc531f25

Observation e9e428ee-9a8e-46f1-9828-c3f91fdd4964 · outbound

This paper cites Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.091724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.091724Z digest=sha256:b536f1e80710adfd4174a6e0605d01bfba20514d06c62f26e14df8fc04ecaaa5

Observation d2afcf3e-d621-4276-85be-1430de3cfd7d · outbound

This paper cites : O saeb - sistema de avaliação da educação básica: potencialidades, problemas e desafios.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : O saeb - sistema de avaliação da educação básica: potencialidades, problemas e desafios

Reference 28

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.918822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.160023Z digest=sha256:ace5a9cbe0ba5e1fed598b953e4b8a1f0bdbdec1dd8040820f5defbf054f7e29

Observation 95e8a177-0857-457b-891c-a11d20ad5dad · outbound

This paper cites : Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement , ( 2009 ).

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement , ( 2009 )

Reference 29

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.829173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.226779Z digest=sha256:a512523bcebeb888ca9db7031b60b974c434763d5a270f8649e492107410c416

Observation d5cdd4b4-a990-445b-ad40-72a9b3aa7aed · outbound

This paper cites , Appiah , O.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Appiah , O

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.323302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.323302Z digest=sha256:4f844fa39d00f41e0b1997a9c14b23a3d601f9fef3e665f82ec761e0d5549293

Observation 1a31d75b-bf30-4ae4-b57f-90f2c88af1a7 · outbound

This paper cites , Beikmohammadi , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Beikmohammadi , A

Reference 31

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.707320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.413028Z digest=sha256:61e05d708d00d5de5125090f321ef091c8d2de12d5972451bb91031699865b6f

Observation 520d0f21-267e-44c1-89cf-007eed1cb8f1 · outbound

This paper cites : Exploring the role of explainable artificial intelligence(xai) in adaptive learning systems.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Exploring the role of explainable artificial intelligence(xai) in adaptive learning systems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.463446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.463446Z digest=sha256:8316f61f7c8e9f7fcad95503cda640ecf7457b6b0602e2d9c97abd0b68922f1d

Observation c3482d67-b30b-47d3-8c13-bba3341293ac · outbound

This paper cites Technical report, Ministério da Educação, Brasília, DF (2023).

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Technical report, Ministério da Educação, Brasília, DF (2023)

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.538839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.538839Z digest=sha256:cee7a270679a3d3d5ae9e380dd07911372c0b60e30310a320d1863fc3a3cef2b

Observation 9986727d-24c7-4a98-a3cd-0090ca714f10 · outbound

This paper cites https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/saeb.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/saeb

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.595617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.595617Z digest=sha256:b467750860b3d5b2f5de2289a57a8b041d7384c5acddba6e1535143cfdc04a8d

Observation b7d4076d-8e53-40fb-896c-38c1a6a8f53c · outbound

This paper cites , Choi , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Choi , S

Reference 35

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.622124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.685379Z digest=sha256:0aac2265b6cd52f8e0636f58a34d91133e94c53c0135525a63c837051fa715f1

Observation 5e20e23a-741b-4e20-b7c3-e6fe55282a70 · outbound

This paper cites , Engelke , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Engelke , A

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.793111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.793111Z digest=sha256:26add1e4dc2cc8b72cc95ff7e5269372d80b49b00a8ddceb5fb36bb6a05ca181

Observation 6e9cf2d6-092a-45a2-8393-b9654f461d72 · outbound

This paper cites , Kiraz , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Kiraz , S

Reference 37

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.531174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.847047Z digest=sha256:edbba4c9918284ea5e6d3618a64606cc711e26c598313fcef6476616ced49b43

Observation 3c1d7344-e910-438f-a966-cb165a5f073f · outbound

This paper cites , Meng , Q.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Meng , Q

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:15.903131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:15.903131Z digest=sha256:7487981fc05276c7df668e1a17b0fc9874de7896f035f8847a3a54a5a796cbf7

Observation 704ae8ea-012d-46b3-b39c-66e9bc7d5059 · outbound

This paper cites , Saltarelli , A.J.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Saltarelli , A.J

Reference 39

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.436612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:15.994806Z digest=sha256:f199c650e71c9b32580b98ba802947223b7a93006c45438a307c6d77d0a1b7dd

Observation 619f2fe4-b7cf-4ed4-aca1-31e9af8879eb · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata A Unified Approach to Interpreting Model Predictions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.102180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.102180Z digest=sha256:92fc5b397b13ab3700b09918f45b8c4e9dea81d426cfa5199f89d66b42f0d298

Observation 70efb5c9-ceaa-4fb0-9519-e73a50e3f32e · outbound

This paper cites , Lee , S.-I.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Lee , S.-I

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.203426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.203426Z digest=sha256:4dc09aa46a9d64e8e049827808f2106a8fa626d87c99ee22cbd316d2b3329f0d

Observation fa2a49ec-ab5e-4b82-887f-edaef39ab600 · outbound

This paper cites , Nguyen , A.J.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Nguyen , A.J

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.372717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.372717Z digest=sha256:d95c6c06d03dbfdabdb106ede95d80d2f118ab6df5967dd04a82d6b97fd7a750

Observation 3cd45840-1299-4d5e-be50-af7299e669e5 · outbound

This paper cites , Porter , L.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Porter , L

Reference 43

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.356095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:16.514745Z digest=sha256:f8fd52528956bb4604912aaaee4fc7e824d096de7b0fad37290a46cf0c02d340

Observation 3dbaae90-d02a-4645-9c4f-4f6af121657f · outbound

This paper cites , Weininger , E.B.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Weininger , E.B

Reference 44

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.279474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:16.608407Z digest=sha256:9183c855f4127cd0a49e5dfe5d9ef9a303852f60fac6f2dcc27ca99bc737d106

Observation 22de4e01-9e5b-4c1a-98a6-7307e00a6a88 · outbound

This paper cites Human-Centric eXplainable AI in Education.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Human-Centric eXplainable AI in Education

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.674289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.674289Z digest=sha256:ffc0a51996542b6991fcebeb68224fb65f906dbbe2db721b999b1ceff2269ce9

Observation c32997dc-50d8-4cc9-a1ac-1956121596f1 · outbound

This paper cites , Dehghani , T.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Dehghani , T

Reference 46

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.201617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:16.751293Z digest=sha256:018a49909d72daaef8b4712eea89d4d6deed712413fe11130da05875794392e7

Observation 0e37caa5-4dcf-44de-be9d-7e78fc05cde6 · outbound

This paper cites : Explanation in artificial intelligence: Insights from the social sciences.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Explanation in artificial intelligence: Insights from the social sciences

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.838883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.838883Z digest=sha256:a430ae2c2418f005e059278aabc29d91644f1480b4f4b5b00ea8125fb1a33fc1

Observation 27cd526c-184e-4815-b667-dd22de6aff28 · outbound

This paper cites , Oliveira , D.A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Oliveira , D.A

Reference 48

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.124668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:16.914648Z digest=sha256:2f5ebe99ccba77a9d79cdee6c3b0459ab7141cec276c104859b47c5986ef6e9f

Observation 352a9f5d-93a1-43dd-b8e2-861f682b2343 · outbound

This paper cites , Souza , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Souza , S

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:16.984724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:16.984724Z digest=sha256:c4e3835ba4921eeadd8c9412786fb87a098838be6e192b6687c5a74f205936cf

Observation 4b66c6a0-5470-4c29-8ab6-e6c1b533c112 · outbound

This paper cites Early Detection of At-Risk Students Using Machine Learning.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Early Detection of At-Risk Students Using Machine Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:17.056099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:17.056099Z digest=sha256:7fc1f4a20686e70e2318249e1056b77dd0bbe2856d9a0054c364224895b5b7b5

Observation 2f85e1c6-eba6-4d94-8082-3278a9fcb8a5 · outbound

This paper cites PISA 2022 Results (Volume I): The State of Learning and Equity in Education.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata PISA 2022 Results (Volume I): The State of Learning and Equity in Education

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:17.126630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:17.126630Z digest=sha256:b7acf9bd491d282abb4d1e16c0ad23db83878c87c47aec1bbffded1d5b7979cd

Observation d16e13ed-b467-40e9-95a5-3e7a1cda976f · outbound

This paper cites , Gulbandilar , E.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Gulbandilar , E

Reference 52

Resolution
verified exact
doi, observed 2026-08-04T08:13:29.065971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:17.256730Z digest=sha256:54988f6a1ad79378c834e950f9fd429e1ec72987997d995faec64b075007b364

Observation 68c113dd-32c1-427f-9360-6381f18448bc · outbound

This paper cites , Boulesteix , A.-L.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Boulesteix , A.-L

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:17.406788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:17.406788Z digest=sha256:fff54d96d625e76e04ae5ad0093b3c5ba8da2ea91fd60ea5fae84e8fca1eddb7

Observation 8cbcc5d0-a04e-47ea-a9c8-577049f220b2 · outbound

This paper cites , Bortolotti , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Bortolotti , S

Reference 54

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.953314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:17.523676Z digest=sha256:6dd5d5e9fa5cdec32a4a18d6aacdc4868d85b01f1fafb24ca124341428077805

Observation 3250a266-3420-425f-ae1e-3bd7ce62daac · outbound

This paper cites , Fonseca , S.C.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Fonseca , S.C

Reference 55

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.856148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:17.618491Z digest=sha256:756448cde930059550d77a88cb091a2a1147260329433e84e9fb5078e7d87941

Observation 3169733d-f660-439a-b452-366eb3ec38a8 · outbound

This paper cites , Wallace , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Wallace , M

Reference 56

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.683783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:17.668605Z digest=sha256:52256c71eba527d80b5c36db7e012aa8a89040e048df5eebc72a1ef56edeaa73

Observation 7f0b0b1d-6c3a-41c6-89e7-83481c6063a0 · outbound

This paper cites , Lourens , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Lourens , M

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:17.778198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:17.778198Z digest=sha256:ea42c0fccfe9362a5fbc1048ec06368749776de184921a0329b87364b5a1df51

Observation 1ce4a962-365b-4519-9619-a41a903bd14f · outbound

This paper cites , Lakshmi , K.P.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Lakshmi , K.P

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:17.889154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:17.889154Z digest=sha256:483648b03cff041330bb33c2884831aa61bc88969c85a533b99a6e8333ad3571

Observation 0b1149f9-538a-4533-bc0d-685e6bd45bf1 · outbound

This paper cites , Soares , J.F.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Soares , J.F

Reference 59

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.551714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:17.947629Z digest=sha256:63ab2d8ed92a43067bf6f42657f68d53f80b7efceae409f15ed44dbccc868c2a

Observation b1f7f6b7-a852-474d-92cc-cd9c488a456b · outbound

This paper cites , Ventura , S.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Ventura , S

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.044473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.044473Z digest=sha256:50b1a190e8385b62e1837cf13b43b6864b7cf2b0f232aff58ade22da4b76ab06

Observation 557cb04a-02bf-4883-848b-0e7711390179 · outbound

This paper cites , Balby , L.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Balby , L

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.134490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.134490Z digest=sha256:5f2a78b715b7a469c3e7cd857a336e9e3bcc13f15bcc7ae83237c3588d6bcf2d

Observation 19725772-e9b1-4887-a1b5-58ca49cb33f8 · outbound

This paper cites , Lin , Y.-R.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Lin , Y.-R

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.235870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.235870Z digest=sha256:e3bf7d1752cfb6cd6b748b4b6d2e928bdcd377f721c5f0d9bb8f4acf945bb1d7

Observation f0e6570b-3e6a-4429-8a4e-1a7ed83f60e4 · outbound

This paper cites : Predictive analysis of students’ learning performance using data mining techniques: A comparative study of feature selection methods.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : Predictive analysis of students’ learning performance using data mining techniques: A comparative study of feature selection methods

Reference 63

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.433655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:18.312865Z digest=sha256:54349acb3dad4412d3590f07b5e6b68b7f67e9f695039c24755c29fc2ae56c1f

Observation 59fd77c5-ef97-4030-be8e-1655088062af · outbound

This paper cites , Newman , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Newman , A

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.378944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.378944Z digest=sha256:5aae0a8e2c9a1356b653d456892c133b264323a9733fc98530847d5e8ee9d908

Observation e933fb6e-00dc-47a9-98f4-de79d4cedac6 · outbound

This paper cites : O modelo de tr \^e s n \' veis: uma alternativa para a an \'a lise de dados de avalia c \ a o de sistemas educacionais.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : O modelo de tr \^e s n \' veis: uma alternativa para a an \'a lise de dados de avalia c \ a o de sistemas educacionais

Reference 65

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.285390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:18.477757Z digest=sha256:073468ced59b4671503b21f48fd7eb9560fb93b055cb47e9f91c34687c879190

Observation 0ed0c231-15f4-46b9-988f-8e199f91c1aa · outbound

This paper cites , Chen , Y.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Chen , Y

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.548044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.548044Z digest=sha256:2fd4b75625ed0349299b242c75ae4a889428bbd649e42f6e419d99a18706fcb0

Observation a0ffacbb-8fd6-4701-a6ae-41b2a5c97ef9 · outbound

This paper cites , Kappel , M.A.A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Kappel , M.A.A

Reference 67

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.152973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:18.636058Z digest=sha256:f83b8cf0ba28e2b11f3b751aacf56aea6fee2add4882dca0895fb8dc0714f43b

Observation b8795429-12ff-45de-84c2-e81861c330ab · outbound

This paper cites , Chinmulgund , A.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Chinmulgund , A

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.728356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.728356Z digest=sha256:b85410bbe67ddf1a60b2717881b9d10780448f0f4df578ad92af9fc99f11596c

Observation bed04468-3e3a-4532-a368-38e4763b4dbe · outbound

This paper cites , Development , O.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Development , O

Reference 69

Resolution
verified exact
doi, observed 2026-08-04T08:13:28.065225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:18.814537Z digest=sha256:e3926d0deb0ce27002ab3b2a0d8513547e3d6d830742925fa72f2356499d11fc

Observation bae9ccaf-0505-45fc-89b5-f9f1b8860967 · outbound

This paper cites , Minkovska , D.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , Minkovska , D

Reference 70

Resolution
verified exact
doi, observed 2026-08-04T08:13:27.973243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:18.879622Z digest=sha256:325088b5316d2b7417448f17a7ff15ac7d21effd04d3a4d50ffd0717e415233f

Observation a09d700b-066a-4f5a-8a89-1ec70b923923 · outbound

This paper cites Global Education Monitoring Report 2020: Inclusion and Education: All Means All.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Global Education Monitoring Report 2020: Inclusion and Education: All Means All

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T08:12:18.981304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:12:18.981304Z digest=sha256:0aa5ced798d5930f269e987d0936a054aef11e04bf77bc94fcce705078cfef40

Observation cf0c52df-1089-43bb-ba05-5e1d9c7d1856 · outbound

This paper cites : School composition and contextual effects on student outcomes.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata : School composition and contextual effects on student outcomes

Reference 72

Resolution
verified exact
doi, observed 2026-08-04T08:13:27.883453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:19.076918Z digest=sha256:a24a6dcf7f8336e5d0eb5e0472f4df236df78e2d1b99e6711196949dc86e922e

Observation 76ba9bfa-bd32-41a6-994e-1dea0a2cee72 · outbound

This paper cites , C evik , M.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata , C evik , M

Reference 73

Resolution
verified exact
doi, observed 2026-08-04T08:13:27.767389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T08:12:19.207638Z digest=sha256:13200c7b4c256366b47be162e634532653c7893cfc2881e6e31367808ec87cd7

Pith citing papers

No inbound Pith citation observations are available.