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Paper Citation Record · LEDGER

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:1908.01251.

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

pith.paper-citation-record.v1
1908.01251 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:25:58.299327Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0288bce-c79a-40fc-bd02-14539f54b2ac · outbound

This paper cites Analysis of purely random forests bias.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Analysis of purely random forests bias

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T15:25:58.095593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3bf073cb-b570-4ae7-ba56-0e84bfb96522 · outbound

This paper cites and Kegelmeyer, W.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Kegelmeyer, W

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 48c6fb1b-8e77-4884-8377-0a4f1c8fde60 · outbound

This paper cites (2012) Analysis of a random forests model.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2012) Analysis of a random forests model

Reference 3

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raw_fallback, observed 2026-08-14T15:25:59.006444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d6c915d-30c3-4c3f-8e9a-ea41ccd042f2 · outbound

This paper cites and Lugosi, G.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Lugosi, G

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 44244bf1-a0d0-4ebd-84a9-cc943ca6773c · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.876493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.117419Z digest=sha256:4a4625be815145e4d944df8e0df71edfd06246f13317a284f06f559726b73cc7

Observation 9ab5eec6-c6ef-4046-9de4-45daef1b6051 · outbound

This paper cites and Fryzlewicz, P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Fryzlewicz, P

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.121599Z digest=sha256:7c8783f320874ae6bf07c2b75ea1bd4e2e27d46b6d0bf7a1ca70088f5d32d97e

Observation b8f14e48-9269-4147-88fd-a0f0dae444a8 · outbound

This paper cites (1996) Bagging predictors.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (1996) Bagging predictors

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.851776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.126582Z digest=sha256:dac489bc0d0f8f7b1617ead29656f3fb0fc25f3e23a82c00824590f981cc29c0

Observation 56f439f2-eaf7-4ea1-b07d-54bacbd188bb · outbound

This paper cites (2001) Random forests.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2001) Random forests

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.840180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.131215Z digest=sha256:37ef3ac583ad42000195bbf09d9b77d90b9bcbb46753946c45905737382883a5

Observation 9bccf4c2-0661-4fc2-9f49-79234410d4d1 · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.829608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.136634Z digest=sha256:57bb2528fe072dd681c564addfd9f3d859b1a467fb73e625be67cb05dadc7d9d

Observation 2f45f4d9-e628-426a-8010-3bb18e0ff3d9 · outbound

This paper cites and Zaglia, M.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Zaglia, M

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.140440Z digest=sha256:0e112d0f10708d3e9c17f538161f97cb36d7b9e6643f84ff23b81de7ae279fd6

Observation f2c58f77-9063-4634-8fc6-fbb825c997cf · outbound

This paper cites and Yu, B.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Yu, B

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.144913Z digest=sha256:990c340a7b49cbe4e030e5aac9e4b7af0a8480a13d4d8e910732bcab3a841a46

Observation 8addf5cf-c443-493c-abfc-694d13567983 · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.795277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc03cc22-e4d5-4565-8c5b-f3cba44385bd · outbound

This paper cites A., George, E.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting A., George, E

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.153063Z digest=sha256:5caaef3e303381a6e4730dd9217fdbfd7a35ef2f21b13332547652b2ea019aec

Observation 18d046a3-0247-4b3a-83ad-a2bfe72164de · outbound

This paper cites and De Andres, S.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and De Andres, S

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.771557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.156686Z digest=sha256:8cdd223bf2b82243d4fd07b46d1006cbea9e1548d7685215f895328359b3fa90

Observation 3c0eece4-5a7f-46c1-8d99-aafa110f782b · outbound

This paper cites and Graff, C.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Graff, C

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.758563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.160168Z digest=sha256:076c1020ea2bd9854b266c291a2d87969cebd5f1317be4f9d056f39643e32882

Observation 17f746d5-fc09-424a-ba49-95eafaa348a7 · outbound

This paper cites and Wolfowitz, J.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Wolfowitz, J

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.164370Z digest=sha256:319bd1f80daad39277576e7f421bd5f5d08c1cc9a89999081d37f4048f452b0e

Observation 4a1b3e78-5b84-4ab4-9d1f-bf82d7dc7fa9 · outbound

This paper cites and Tibshirani, R.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Tibshirani, R

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.168212Z digest=sha256:51a25177d23339d15153d6c6d88c6503e73db1df602ae4b0eef7e317965a999e

Observation 7e27b478-59d1-45cb-a159-51ec44ed1de1 · outbound

This paper cites and Tuleau-Malot, C.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Tuleau-Malot, C

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.720536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.171575Z digest=sha256:95379ffd2f5a7dc494aa0e0c5b4222c83d090e6234dd2ac6ebfcc2e7ad36ef0f

Observation f3c2de86-9869-4ce3-8c50-6c182ab082e9 · outbound

This paper cites and Tuleau-Malot, C.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Tuleau-Malot, C

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.709589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.175380Z digest=sha256:54b8aa4466725003274838b17a065544e2903205179efa51d85663d0440704d8

Observation 79fa3e50-cb69-4691-9472-c634960d894b · outbound

This paper cites (2017) Hands-on machine learning with Scikit-Learn and TensorFlow.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2017) Hands-on machine learning with Scikit-Learn and TensorFlow

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.699024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.179460Z digest=sha256:50a346f7487e2a34f5551d401968fbac012937930edc35fa618379674356a8b0

Observation 165d91bb-de92-4401-ba73-ef62f9c9a66f · outbound

This paper cites and Saint-Pierre, P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Saint-Pierre, P

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.183452Z digest=sha256:4a111beed6b28f2635ed1059ee3dfe34b2615cbedb446376e21d48750c530eb2

Observation d48634fb-245a-4a07-baf1-44c9d871b934 · outbound

This paper cites and Samworth, R.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Samworth, R

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.187765Z digest=sha256:2e16374fcb310f263530ba2e58cd4c66f5a3f3695ab87a165a8312d186b180ee

Observation c6791a72-4caa-442b-b212-7de205222fe8 · outbound

This paper cites and Su \'a rez, A.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Su \'a rez, A

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.191718Z digest=sha256:43d395e1ca7193deeb95dc993e5a2d4a4d5583cf3a7743177700f7fc4fae62c2

Observation 2fd343f6-238a-4418-87cf-604433887ccf · outbound

This paper cites (2007) Variable importance in binary regression trees and forests.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2007) Variable importance in binary regression trees and forests

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e452e30f-0d85-43dd-9810-75cdcfdfd63c · outbound

This paper cites B., Schechtman, G.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting B., Schechtman, G

Reference 25

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raw_fallback, observed 2026-08-14T15:25:58.638441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fe8f4ada-f6c7-4b5c-abbe-c66bb568d620 · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.626285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.204087Z digest=sha256:f7d195851a690a8600d3e09cde216ed3e0e1f267852320eaa50802ce36c11e9a

Observation 1fdf235f-82c7-401f-b5d5-0143e4d7a5bb · outbound

This paper cites and Decaestecker, C.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Decaestecker, C

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.614822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.208012Z digest=sha256:b6126d60a4b58aef343bfc65a6d2c10768e4675ae58cfe5fe873945a64817154

Observation bb066ff3-fc27-42fb-afa2-7c1453aeec37 · outbound

This paper cites and Wiener, M.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Wiener, M

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d344e5a-ebd2-46cb-919f-99a8ce2c9099 · outbound

This paper cites and Jeon, Y.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Jeon, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.591617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 10f14164-5fea-4728-8547-f8bf1d364356 · outbound

This paper cites Estimating a sharp convergence bound for randomized ensembles.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Estimating a sharp convergence bound for randomized ensembles

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T15:25:58.219732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:25:58.219732Z digest=sha256:55893a30b5448462ec898bfe570f6bb66368602fe767a53daab4ca298897c70a

Observation a66546a0-8e65-4514-924c-e9e12ea4af9a · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.579832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.224501Z digest=sha256:dcf2ec9e6e218d96377067e1b50a92a9d0ea1b23dc0c370edae6a5c49a4797f2

Observation 6a53c62f-8f9a-4dba-9fc0-ad40958ee1fa · outbound

This paper cites and Geurts, P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Geurts, P

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.229319Z digest=sha256:3b7cc7c9b832aa88df37d72067db1090cc36845e382fe137c4c8ad913d27a8a7

Observation 2d2806f7-ecbb-4a78-a037-f6210606361d · outbound

This paper cites (1990) The tight constant in the D voretzky- K iefer- W olfowitz inequality.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (1990) The tight constant in the D voretzky- K iefer- W olfowitz inequality

Reference 33

Resolution
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raw_fallback, observed 2026-08-14T15:25:58.556765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.233752Z digest=sha256:1ef30c631f5c928d14a461a3e0f8335f3076bd0d34d2acfc03167838e6992c81

Observation c7dcb78f-6b6d-4c1a-bb05-c25c293af5f7 · outbound

This paper cites and Hooker, G.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Hooker, G

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.543638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.237712Z digest=sha256:e353642ad89c43ea003bc6ee9bac1e46f060b5c6ebd19f83699925838b1482e2

Observation 8a6fe6d8-dc84-4dbd-8e3e-9574992d37e3 · outbound

This paper cites and Tramontano, A.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Tramontano, A

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.531515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.241771Z digest=sha256:867cfff024651ec16c70242c3af3875c39e788ffcecb20e9fb9a60728e52cf5e

Observation 8e9cf450-9faf-4378-befe-9a35da01f4ad · outbound

This paper cites an unresolved cited work.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:25:58.519099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.246266Z digest=sha256:43643895622cfede1483d94703283689de915d3f50cbaae824c313de33917ab7

Observation 46458555-45b9-4da4-bef9-319e32aba841 · outbound

This paper cites M., Perez, P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting M., Perez, P

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.507214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.251157Z digest=sha256:1caf534703f9e1aa781cb22c52b71a2b589cdbcec82230f7b177e686163c78b1

Observation a74f90ba-fd61-4ff1-a8e4-8a2821fbfdfe · outbound

This paper cites and Boulesteix, A.-L.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Boulesteix, A.-L

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.495833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.255664Z digest=sha256:55c20e40bd99d07d3d92613d29b70bf6829119d783b9d0e321cad6369bee8317

Observation 53ec87e5-7f22-46fc-8f47-741b5f37440c · outbound

This paper cites and Pollefeys, M.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Pollefeys, M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.484079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.259617Z digest=sha256:a2a6c7ede6388ae9b07f9816234c343178663f9418410eb5c5dec86003d4df04

Observation f19c9a4c-a836-406f-9a18-4ba1540e4592 · outbound

This paper cites (2016 a ) On the asymptotics of random forests.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2016 a ) On the asymptotics of random forests

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.472556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.262872Z digest=sha256:ecc0537f053b9900aad3f6701300731ae9b88e808135e8965cf9944e24652e19

Observation a5791e1c-3dcf-4668-b59b-ef2c9f3aa1c1 · outbound

This paper cites (2016 b ) Random forests and kernel methods.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2016 b ) Random forests and kernel methods

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.460523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.267226Z digest=sha256:138b861e9b786a1424e052cb45dcee4d3d0a8d98e2ff16f875eb47172ac14a23

Observation 655d62dd-908d-4032-8fca-fbf8163e6f83 · outbound

This paper cites and Vert, J.-P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Vert, J.-P

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.448309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.270606Z digest=sha256:5545973d1dd0a97761d1f1451bc2e2ae98c2027287b2371b9fe55ba8808e0639

Observation d81e8b9e-2c60-4582-96af-b5c7fb3df05b · outbound

This paper cites and Laake, P.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Laake, P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.435327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.273779Z digest=sha256:ec89916e4f70a4da56a82198ffb372f9880d3d5d8ea514e7ff11b25a935f7329

Observation d8be6c91-13df-40b2-a808-5a5195cf47ef · outbound

This paper cites (2003) Practical Extrapolation Methods: Theory and Applications.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2003) Practical Extrapolation Methods: Theory and Applications

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.422860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.277476Z digest=sha256:4138dde0d080f8aa9421ffbaf1cad84d60c5a2a90070850e49e73b9683955634

Observation 5457268e-f062-46ab-9618-2b602fc573bf · outbound

This paper cites and Zeileis, A.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Zeileis, A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.408510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.281404Z digest=sha256:2898b0f5af5f4cea234a200e17342369ee064e398770a8d4c5de367420581bb7

Observation e1746742-ef2c-42eb-8e49-a1be0dd6132c · outbound

This paper cites (1989) Isoperimetry and integrability of the sum of independent B anach-space valued random variables.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (1989) Isoperimetry and integrability of the sum of independent B anach-space valued random variables

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.395742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.286285Z digest=sha256:ba06c917d2a0fd97b82a897f716cd06f85814220152e7c306c4c117c6f554a09

Observation d0958504-59c4-41bb-b627-833c51fe6ce5 · outbound

This paper cites and Efron, B.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and Efron, B

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.383760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.290935Z digest=sha256:3de074090c791628e85603c6efccc359edd0c5af54f7b7ef92cc2dffa8567158

Observation d5acde05-8ca8-451b-94f1-0dfec8755eb0 · outbound

This paper cites (2016) ggplot2: Elegant Graphics for Data Analysis.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (2016) ggplot2: Elegant Graphics for Data Analysis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.372935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.295403Z digest=sha256:eed830f0994804bf3669e547814f86f10f880addd6c65b4c730077db771c3080

Observation 41606765-a121-45c6-a20b-6ccf691ba54c · outbound

This paper cites and King, R.

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting and King, R

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:25:58.360232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:25:58.299327Z digest=sha256:19d72e8c31f6210edbf051c43af843425d2f7f5a5608f009cc6df763dfd7c5a2

Pith citing papers

No inbound Pith citation observations are available.