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Paper Citation Record · LEDGER

Online Koml\'os converges to mean curvature flow

As of 8 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 0 inbound Pith citation observations for arXiv:2607.08943.

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2607.08943 v1

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measured 100 of 117 reference resolution

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100 of 117 outbound references displayed

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Outbound references

Observation f65a1cce-7147-4f5f-8e4f-0e93c45916df · outbound

This paper cites Smoothed analysis of the Koml´ os conjecture: Rademacher noise.

Online Koml\'os converges to mean curvature flow Smoothed analysis of the Koml´ os conjecture: Rademacher noise

Reference 1

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:abc4488fe25cf1c08e084618ce87d8c5a3bed8b0bc1f38b3da186fca2e879f4f

Observation 45add3db-c5f7-4a15-9428-dbc3acaba014 · outbound

This paper cites On the structure of bad science matrices, 2025.

Online Koml\'os converges to mean curvature flow On the structure of bad science matrices, 2025

Reference 2

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Observation 1b2d5b87-ea74-4e14-82a3-328dc677b47c · outbound

This paper cites Spencer.The Probabilistic Method.

Online Koml\'os converges to mean curvature flow Spencer.The Probabilistic Method

Reference 3

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:120583fdd7aa58157a25f4a1ace573e149b9f5360dd476d92f59f28b2776c136

Observation 3706e2dd-41ef-4a50-a205-f70bae0948e4 · outbound

This paper cites Altschuler and Jonathan Niles-Weed.

Online Koml\'os converges to mean curvature flow Altschuler and Jonathan Niles-Weed

Reference 4

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Observation 9cab9d8e-82a4-4875-b42e-3bb8faaea695 · outbound

This paper cites Altschuler and Konstantin Tikhomirov.

Online Koml\'os converges to mean curvature flow Altschuler and Konstantin Tikhomirov

Reference 5

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Observation 748d62f3-bd64-4f8b-ae8c-4bea376c9044 · outbound

This paper cites Liu, and Mehtaab Sawhney.

Online Koml\'os converges to mean curvature flow Liu, and Mehtaab Sawhney

Reference 6

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Observation d150a84e-417c-439a-880a-2fc7f514ce57 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 7

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Observation 84462c43-09c4-4098-bdc3-8032dd86fe8e · outbound

This paper cites Contraction of convex hypersurfaces in Euclidean space.Calculus of Variations and Partial Differential Equations, 2(2):151–171, 1994.

Online Koml\'os converges to mean curvature flow Contraction of convex hypersurfaces in Euclidean space.Calculus of Variations and Partial Differential Equations, 2(2):151–171, 1994

Reference 8

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:ababaed714e4eb5f2e5309e83c6f3ae8ebc8542627925a328bf9bd7f9fd1ef25

Observation 17c457a6-a962-463b-bb5a-7d659282b804 · outbound

This paper cites Storage capacity in symmetric binary perceptrons.Journal of Physics A: Mathematical and Theoretical, 52(29):294003, June 2019.

Online Koml\'os converges to mean curvature flow Storage capacity in symmetric binary perceptrons.Journal of Physics A: Mathematical and Theoretical, 52(29):294003, June 2019

Reference 9

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Observation 834d1396-8de9-4890-9bd6-ffb1c704cc97 · outbound

This paper cites A Beck—Fiala-type theorem for Euclidean norms.European Journal of Combinatorics, 11(6):497– 500, 1990.

Online Koml\'os converges to mean curvature flow A Beck—Fiala-type theorem for Euclidean norms.European Journal of Combinatorics, 11(6):497– 500, 1990

Reference 10

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:e2d3cf1c11f67ad8694eb450b46b97a2bc54e28c675708af45bae68c4fa89b78

Observation 300a4167-a6a9-44a2-8448-7cf1c6c98f6f · outbound

This paper cites Balancing vectors and convex bodies.Studia Mathematica, 106(1):93–100, 1993.

Online Koml\'os converges to mean curvature flow Balancing vectors and convex bodies.Studia Mathematica, 106(1):93–100, 1993

Reference 11

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Observation 85264aa0-08a9-4de3-bccd-8eb1fca0d10a · outbound

This paper cites Balancing vectors and Gaussian measures of n-dimensional convex bodies.Random Structures & Algorithms, 12(4):351–360, 1998.

Online Koml\'os converges to mean curvature flow Balancing vectors and Gaussian measures of n-dimensional convex bodies.Random Structures & Algorithms, 12(4):351–360, 1998

Reference 12

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Observation 3b04aa99-9953-429b-8a8d-f6c83fea7edb · outbound

This paper cites Bandeira and Helmut B¨ olcskei.

Online Koml\'os converges to mean curvature flow Bandeira and Helmut B¨ olcskei

Reference 13

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Observation 99cb9b78-beb2-4a4b-8d2a-c0ef0be9582a · outbound

This paper cites Bandeira, Dmitriy Kunisky, Dustin G.

Online Koml\'os converges to mean curvature flow Bandeira, Dmitriy Kunisky, Dustin G

Reference 14

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Observation 202839ec-4590-4790-a13d-b6f2ee38cd29 · outbound

This paper cites A remark on Kashin’s discrepancy argument and partial coloring in the Koml´ os conjecture.Portugaliae Mathematica, 79(3):311–316, 2022.

Online Koml\'os converges to mean curvature flow A remark on Kashin’s discrepancy argument and partial coloring in the Koml´ os conjecture.Portugaliae Mathematica, 79(3):311–316, 2022

Reference 15

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Observation 36b818d7-c303-4d2d-b8b6-81065e8c0686 · outbound

This paper cites Constructive algorithms for discrepancy minimization.

Online Koml\'os converges to mean curvature flow Constructive algorithms for discrepancy minimization

Reference 16

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Observation f5d910d4-09de-425b-9a3f-6a7c9599ac1d · outbound

This paper cites Discrepancy theory and related algorithms.

Online Koml\'os converges to mean curvature flow Discrepancy theory and related algorithms

Reference 17

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Observation 8eb78805-02c9-4bfc-b7d4-fa48cdbe04ec · outbound

This paper cites An algorithm for Koml´ os conjecture matching Banaszczyk’s bound.

Online Koml\'os converges to mean curvature flow An algorithm for Koml´ os conjecture matching Banaszczyk’s bound

Reference 18

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Observation 86997526-6ec6-46cc-b9d9-8168796d4e35 · outbound

This paper cites The Gram–Schmidt walk: A cure for the Banaszczyk blues.Theory of Computing, 15(21):1–27, 2019.

Online Koml\'os converges to mean curvature flow The Gram–Schmidt walk: A cure for the Banaszczyk blues.Theory of Computing, 15(21):1–27, 2019

Reference 19

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Observation a23cec4c-a31c-4789-9ab9-c1719a181f6f · outbound

This paper cites Decoupling via affine spectral-independence: Beck-Fiala and Koml´ os bounds beyond Banaszczyk.

Online Koml\'os converges to mean curvature flow Decoupling via affine spectral-independence: Beck-Fiala and Koml´ os bounds beyond Banaszczyk

Reference 20

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Observation 6ee66b7d-7eee-4419-8bbd-355e04fa17b6 · outbound

This paper cites Online discrepancy minimization for stochastic arrivals.

Online Koml\'os converges to mean curvature flow Online discrepancy minimization for stochastic arrivals

Reference 21

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Observation 8e787c81-decf-4357-9176-db8f7bf3f75d · outbound

This paper cites Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing.

Online Koml\'os converges to mean curvature flow Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing

Reference 22

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Observation bc2b3c4f-a53f-4920-b02e-4b6d000440ec · outbound

This paper cites Smoothed Analysis of the Koml´ os Con- jecture.

Online Koml\'os converges to mean curvature flow Smoothed Analysis of the Koml´ os Con- jecture

Reference 23

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Observation 105c7ba6-0e87-4fe6-8ec6-33d4568f46ee · outbound

This paper cites Online vector balancing and geometric discrepancy.

Online Koml\'os converges to mean curvature flow Online vector balancing and geometric discrepancy

Reference 24

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Observation 2b612e54-feaa-4dea-ab94-9728d0783876 · outbound

This paper cites A Unified Approach to Discrepancy Minimization.

Online Koml\'os converges to mean curvature flow A Unified Approach to Discrepancy Minimization

Reference 25

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Observation 53b6bbac-48a4-4f8c-8323-414fea6fa996 · outbound

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Online Koml\'os converges to mean curvature flow Unresolved cited work

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Observation 35fdc28a-3f45-4dc0-b9ef-999cbc5ed328 · outbound

This paper cites Springer, 1997.

Online Koml\'os converges to mean curvature flow Springer, 1997

Reference 27

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Observation 85ceb478-1e95-468f-9b6d-7c80b0a93bd7 · outbound

This paper cites Barles and P.

Online Koml\'os converges to mean curvature flow Barles and P

Reference 28

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Observation 7c48b075-df9b-4048-b3e2-1222834f3824 · outbound

This paper cites Integer-making.

Online Koml\'os converges to mean curvature flow Integer-making

Reference 29

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Observation 4e1d7a57-85a8-428f-be36-5f81873782cd · outbound

This paper cites Some remarks on the Gram-Schmidt walk algorithm and consequences for the Koml´ os conjecture.

Online Koml\'os converges to mean curvature flow Some remarks on the Gram-Schmidt walk algorithm and consequences for the Koml´ os conjecture

Reference 30

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Observation 56b44aa8-739c-4c31-83fe-3989549d1f22 · outbound

This paper cites Princeton Landmarks in Mathematics.

Online Koml\'os converges to mean curvature flow Princeton Landmarks in Mathematics

Reference 31

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Observation 25b0a2bb-cf7b-4fdd-8733-40d1498455ac · outbound

This paper cites Brakke.The motion of a surface by its mean curvature.

Online Koml\'os converges to mean curvature flow Brakke.The motion of a surface by its mean curvature

Reference 32

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Observation 5ba9e7e1-a446-4e5c-8fcf-3a8dfc4067d8 · outbound

This paper cites A representation formula for the mean curvature motion.

Online Koml\'os converges to mean curvature flow A representation formula for the mean curvature motion

Reference 33

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Observation e4ed295b-82fa-4618-a385-44d4dd993b77 · outbound

This paper cites Lecture notes on viscosity solutions, 2024.

Online Koml\'os converges to mean curvature flow Lecture notes on viscosity solutions, 2024

Reference 34

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Observation 509870a3-3120-41b7-8a6e-6a46b29db7b9 · outbound

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Online Koml\'os converges to mean curvature flow Unresolved cited work

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Observation fa886f13-d62c-486d-8db7-c1795083dfc0 · outbound

This paper cites Tight hardness results for minimizing discrepancy.

Online Koml\'os converges to mean curvature flow Tight hardness results for minimizing discrepancy

Reference 36

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Observation c8e9d424-6abc-47a8-9c59-6c18dd1a2986 · outbound

This paper cites A mixed problem for the infinity laplacian via tug-of-war games.Calculus of Variations and Partial Differential Equations, 34(3):307–320, 2009.

Online Koml\'os converges to mean curvature flow A mixed problem for the infinity laplacian via tug-of-war games.Calculus of Variations and Partial Differential Equations, 34(3):307–320, 2009

Reference 37

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Observation 3b14765f-34f6-4495-8fe9-a4a1662ed091 · outbound

This paper cites A note on norms of signed sums of vectors.Advances in Geometry, 21(1):5–14, 2021.

Online Koml\'os converges to mean curvature flow A note on norms of signed sums of vectors.Advances in Geometry, 21(1):5–14, 2021

Reference 38

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Observation 2361851f-8c9a-4f1b-95dd-7a00b5a2387b · outbound

This paper cites Cambridge University Press, 2000.

Online Koml\'os converges to mean curvature flow Cambridge University Press, 2000

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:e811e1e350560c3b1df8dabfe14d5dd735b0dd060197aa00d36bef1e3865f7f7

Observation bf38c3a6-85bc-4050-adb3-3813651aa60c · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:e16b59315d4c89b6946bf5776f11f805bb2ad106574bf4cf598f434d043c50d6

Observation 2ccfab0f-e79b-4ec3-a3e7-a634ca7d5b22 · outbound

This paper cites Springer Cham, 2014.

Online Koml\'os converges to mean curvature flow Springer Cham, 2014

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:b59d58e75f2a68be9ea34ae68f1bfb2647167e75102bf02d95dddb0f28d0493d

Observation ad303ebc-162f-4fce-ac3c-e5abc0dab8a4 · outbound

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Online Koml\'os converges to mean curvature flow Uniqueness and existence of viscosity solutions of generalized mean curvature flow equations.Proc

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:6f6cb9e780928a58ef20130c3059080fbdfeb464bdbb8a7f0b9b78f2a608df26

Observation af8fcf63-98c9-49ea-8e5e-11499e1de0ec · outbound

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Online Koml\'os converges to mean curvature flow Gaussian discrepancy: A probabilistic relaxation of vector balancing.Discrete Applied Mathematics, 322:123–141, 2022

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:4ba4dcd961221dfda0549292f1562f9054e33a3a5d4654ba8e2b5039a1c66668

Observation b334fb8c-10a4-46ac-becf-b5943510ac3e · outbound

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Online Koml\'os converges to mean curvature flow Mean curvature flow.Bulletin of the American Mathematical Society, 52(2):297–333, 2015

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:ff84108710736e665efb8f0ed6baf182278325dcb8e3ad81aa1d1276fd6a0095

Observation dc2dbe98-7cd6-4a26-bc43-56ab7b313075 · outbound

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Online Koml\'os converges to mean curvature flow Costello

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:105cf756cf7f0dd8eb132b1848cad96c82218447e5d165e3baa87fa17e43d5f7

Observation bf5d67c4-f3ce-4013-8f66-05464df3b8eb · outbound

This paper cites Sur la forme int´ egro-diff´ erentielle des op´ erateurs dec∞ k danscsatisfaisant au principe du maximum.

Online Koml\'os converges to mean curvature flow Sur la forme int´ egro-diff´ erentielle des op´ erateurs dec∞ k danscsatisfaisant au principe du maximum

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:20d6e46f8e452df27d9639d24d1e68d03c42468eb9d8bce085061a6a61a11486

Observation df00f011-a1f9-4392-b07e-9c3ed64eba6b · outbound

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Online Koml\'os converges to mean curvature flow User’s guide to viscosity solutions of second order partial differential equations.Bulletin of the American mathematical society, 27(1):1–67, 1992

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:24ff9d4fe80d5b1f8abd22c55d2b7133ab03fb6e82bdc61953cfc82381f7f95e

Observation 80377d7b-cd2b-48ec-8abc-cd12c8959139 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 48

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:1fe9a65d4582a771c9626f7de626c4503805110f755856e44ce87857c9d0e65b

Observation 041eca49-8cef-41b2-b9bc-b8222feaf8fc · outbound

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Online Koml\'os converges to mean curvature flow Efficient algorithms for discrepancy minimization in convex sets.Random Structures & Algorithms, 53(2):289–307, 2018

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:042e08307a3dd43e823c982e59f5adaa18d7071a58055876d377ba695f26ad20

Observation 94289afa-0884-4fc7-ac81-c9ce371aeded · outbound

This paper cites Motion of level sets by mean curvature.

Online Koml\'os converges to mean curvature flow Motion of level sets by mean curvature

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:b372dc03ffa8237a8aa37daec269979adb2a48b032e2373aba5896b7ec0210e2

Observation f140462a-c9c0-41db-a617-b3f79a68784c · outbound

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Online Koml\'os converges to mean curvature flow On the Beck-Fiala conjecture for random set systems.Random Structures & Algorithms, 54(4):665–675, 2019

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:d401a2de28ece72ba267bebc4279bcbafb454c40af8a8c4bb799982457c9aa07

Observation 281184d2-4c29-4a83-995f-78a73dd20a98 · outbound

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Online Koml\'os converges to mean curvature flow The mean-field limit of online stochastic vector balancing, 2026

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:f5172e6612ada2f93e50c778e7f4fd7f739a95631c276bd2428d2a9934ef2b59

Observation 06d6cf78-6404-4f7a-ac96-79002b095059 · outbound

This paper cites Springer, 2006.

Online Koml\'os converges to mean curvature flow Springer, 2006

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:ad388f7bf22f931e37afa13cf08712eea22cf2028982d1b6f2816543d1d76727

Observation 8b1c537e-486b-4934-805b-2051adae3920 · outbound

This paper cites On the discrepancy of random matrices with many columns.Random Structures & Algorithms, 57(1):64–96, 2020.

Online Koml\'os converges to mean curvature flow On the discrepancy of random matrices with many columns.Random Structures & Algorithms, 57(1):64–96, 2020

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:fad9437dbe30c8f15dbb7c95e2ce4fa7e88e034071dde171241e5f9104c1f5fc

Observation a675c2ad-33ab-42d8-80c0-b3dec72d7a2f · outbound

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Online Koml\'os converges to mean curvature flow Galambos.Asymptotic Theory of Extreme Order Statistics

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:850a6d0dcedd10a612f96572e8a075849717d1f970bf8dc09b51508a74ae04d9

Observation c6dc6d63-fbec-4961-8cda-2d81f1d2c9c8 · outbound

This paper cites On some vector balancing problems.Studia Mathematica, 122(3):225–234, 1997.

Online Koml\'os converges to mean curvature flow On some vector balancing problems.Studia Mathematica, 122(3):225–234, 1997

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:72141d8a4c922ddceecf9724d19d367af004a47d30e20b71568a5d78ec58dc5d

Observation 5d87ce9b-c6f7-4cac-a6d9-c2570039e5bd · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 57

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:7f2a66f6a06c6949cb2ffb1fbfc9c8f7b0008449fc3dd053d01cc4c08f6f7769

Observation b4d5378d-cf4b-4d01-b80c-4a79a72be35f · outbound

This paper cites Springer, 2006.

Online Koml\'os converges to mean curvature flow Springer, 2006

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:29b8dc386b973d5c2bb9c0d7167824caaf39046cff7ae2bb86934763ae3dc14c

Observation 40e723c5-8386-4f11-b413-4a720a3afa78 · outbound

This paper cites Monographs in Mathematics.

Online Koml\'os converges to mean curvature flow Monographs in Mathematics

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:3845f4e0676873b3ba2864e81e21230cde79c3a2cfc8feb7cb86373cde5ad465

Observation 09f0bfdb-509b-425e-b4bd-d432d8730dc5 · outbound

This paper cites On a lower bound for the extinction time of surfaces moved by mean curvature.

Online Koml\'os converges to mean curvature flow On a lower bound for the extinction time of surfaces moved by mean curvature

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:7413aa600f967b55906dc9fd21cd2e561ca0f3a9c29563d43ed4db7010f04a8f

Observation d063cdeb-0f4f-4158-acdc-6b2545c3b9db · outbound

This paper cites Extremal properties of orthogonal parallelepipeds and their applications to the geometry of Banach spaces.Mathematics of the USSR-Sbornik, 64(1):85–96, 1989.

Online Koml\'os converges to mean curvature flow Extremal properties of orthogonal parallelepipeds and their applications to the geometry of Banach spaces.Mathematics of the USSR-Sbornik, 64(1):85–96, 1989

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:34d59287d0a109af99c8918622a380bdd4f59ac60e67ea20e1e69df0952a53d1

Observation 3278c32e-aa49-4ef1-8eab-869a118d3cd5 · outbound

This paper cites Rossi, and Jorge Ruiz-Cases.

Online Koml\'os converges to mean curvature flow Rossi, and Jorge Ruiz-Cases

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:d643eb7cfe91aad45d60b5449362f9baf14f6ff1c8d89e592afe8e08cae1ee4c

Observation aa73bff3-8f38-4b0b-a5e5-3fc380dac110 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:0dbb6d2f6492e755bb890157e250bf40f4c182a9c625933f932b9fdf91f4625e

Observation b9476bc7-ef82-4674-af6d-bdc8f301ee03 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:3c4dd390864e9dbcc5089189f840b37a030d7c2c2dcc66a6f1e87f43bc71d11d

Observation 30341c52-1714-4bf0-8db0-fcf8e0db1d8b · outbound

This paper cites Sinan G¨ unt¨ urk.

Online Koml\'os converges to mean curvature flow Sinan G¨ unt¨ urk

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:8c8df90266c5d1ee9b1c4671119f39960b6913e2d9ffd165a23456f1313a451c

Observation 9aa220ab-b162-49b2-92af-d7f168d55892 · outbound

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Online Koml\'os converges to mean curvature flow Smoothed analysis with adaptive adversaries.J

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:5359d1c2c2884b7aa51638e71474b452f157680e6fb867f4e55c97c109699c17

Observation e506ce98-5a00-4cc9-a81b-77986fb0cd69 · outbound

This paper cites On a conjecture of Komlos about signed sums of vectors inside the sphere.European Journal of Combinatorics, 9(1):33–37, 1988.

Online Koml\'os converges to mean curvature flow On a conjecture of Komlos about signed sums of vectors inside the sphere.European Journal of Combinatorics, 9(1):33–37, 1988

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:a9c214472491da72e3127f2e4354aa4ffb09ffd9a2018f054d1ea3b5069b6698

Observation e71e3c47-5707-49b8-9a5a-b517566aca6e · outbound

This paper cites Spielman, and Peng Zhang.

Online Koml\'os converges to mean curvature flow Spielman, and Peng Zhang

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:2448519da53d45328b4c542c196e174785fb61dea9fba5f342f1eb74b3a804d6

Observation cb1294b9-3140-4adf-8699-cdebf4c7d39e · outbound

This paper cites A Fourier-analytic approach for the discrepancy of random set systems.

Online Koml\'os converges to mean curvature flow A Fourier-analytic approach for the discrepancy of random set systems

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:453f965004a6c582288bcc35a20c551adc7e66064e0cd6b1fd2cde91477c6a97

Observation ce607d26-b47a-4d19-a50d-bf37a54dfd46 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:96565711487d437d03a407fe7863325f833ee4424101475d8079bc40715cf6f9

Observation 318e47ca-450d-4ccf-a888-7ac4cb15e4fa · outbound

This paper cites Flow by mean curvature of convex surfaces into spheres.Journal of Differential Geometry, 20(1):237– 266, 1984.

Online Koml\'os converges to mean curvature flow Flow by mean curvature of convex surfaces into spheres.Journal of Differential Geometry, 20(1):237– 266, 1984

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:231da7bf609461049fb46887bc6448f4160d6eb331318c7c31d617c42c18deaa

Observation 0fe848ac-6218-4590-b755-a380783f97ca · outbound

This paper cites Repeated games for non-linear parabolic integro-differential equations and integral cur- vature flows.Discrete and Continuous Dynamical Systems, 29(4):1517–1552, 2011.

Online Koml\'os converges to mean curvature flow Repeated games for non-linear parabolic integro-differential equations and integral cur- vature flows.Discrete and Continuous Dynamical Systems, 29(4):1517–1552, 2011

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:4a63609f98b48f0b138eff38cd27f60db7c87b8280e97e188ec47c34a45f52a4

Observation 5637f0ad-e23c-40af-88be-0c7bacbfab0a · outbound

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:6995d57f1a8db6d8a59faf926a0d08c4299fce85df2fc61ca65cd94128edc5b7

Observation a2ac6996-9de6-4e26-b7ac-6b779927c2dc · outbound

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Online Koml\'os converges to mean curvature flow Bounds on the expectation of the maximum of samples from a Gaussian, 1998

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:fd6745867d4c5a559d5439f5ca8b4a1508078a2b668b03d9cc0bf6167341b408

Observation 5db53ec7-9f7d-4f02-9b70-072e7e670d7e · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:f8d05dd65dbcc7211a3a3ce77da0f5762d4ea6a32ada8e37839c7a3e8efd4bd2

Observation 8eaaef56-c4da-4a7d-8865-b8f552a38be7 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:98dc2a419d21d6869af170aa3e13bc8b078166c684e9082d2fd608cc8d466d44

Observation f209edc2-1486-4f31-ad45-2ccb1b928470 · outbound

This paper cites Kobzar and Robert V.

Online Koml\'os converges to mean curvature flow Kobzar and Robert V

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:a60d489c8d1bc5a68bd8c5169707d31e8910914857f5fe24773ab5fc05f568f4

Observation bde934f8-2088-441c-9b0d-74bf6752301b · outbound

This paper cites Kobzar, Robert V.

Online Koml\'os converges to mean curvature flow Kobzar, Robert V

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:b046212f86311d8ae9b79310752520700d8c73c370c542505eb1ccbd073d605f

Observation c2fdc2b0-9ba0-478c-a10c-d0f7970b6358 · outbound

This paper cites Kobzar, Robert V.

Online Koml\'os converges to mean curvature flow Kobzar, Robert V

Reference 79

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:9ddd74fba2c0cc14ee95f093ab3e90ee66489ed2070d295276e418d80194c714

Observation 93b4951f-21bd-4ad6-b379-e486c0bcca74 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 80

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:1d104f282a60bc27c5f05038a453a78c28db23ad357e148bdc6f990732f6ec2f

Observation 596d0076-e61e-4c6e-af6f-ec119a6a53d5 · outbound

This paper cites Kohn and Sylvia Serfaty.

Online Koml\'os converges to mean curvature flow Kohn and Sylvia Serfaty

Reference 81

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:c28fc51b8d3ec55855eafd5a4c533cb81eccd6d2843159f97ba53e170e52a4e4

Observation 62726f40-af78-4d89-b4e4-4898d4a5794f · outbound

This paper cites Kohn and Sylvia Serfaty.

Online Koml\'os converges to mean curvature flow Kohn and Sylvia Serfaty

Reference 82

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:95132cf0b7c1ebdf2d555ce4d10c1935e2a25fe1a1f7b3a0cceb791f7f0588d8

Observation b34d7986-8866-4ea4-b84c-52002ef17157 · outbound

This paper cites Optimal online discrepancy minimization.

Online Koml\'os converges to mean curvature flow Optimal online discrepancy minimization

Reference 83

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:7c13dbf6daa57f3fff611fa7ecb9c68cfc07b167ba310dad74c7709ed3ed63ed

Observation 6ff1a2c5-ff2b-4359-b3b3-4ec070b82c50 · outbound

This paper cites The discrepancy of unsatisfiable matrices and a lower bound for the Koml´ os conjecture constant.SIAM Journal on Discrete Mathematics, 37(2):586–603, 2023.

Online Koml\'os converges to mean curvature flow The discrepancy of unsatisfiable matrices and a lower bound for the Koml´ os conjecture constant.SIAM Journal on Discrete Mathematics, 37(2):586–603, 2023

Reference 84

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:2317e58766be0936895381ce207e0ca948a7ff42cf44ae5c8ade715b2fdd484b

Observation 29b75702-9d69-4965-9949-7e3dd9d16212 · outbound

This paper cites Asymptotic bounds and online algorithms for average-case matrix discrepancy, 2025.

Online Koml\'os converges to mean curvature flow Asymptotic bounds and online algorithms for average-case matrix discrepancy, 2025

Reference 85

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:8bbe741505192c73d16d4571565f390334dce555338768c935724a2f1773f4a7

Observation 8c278d70-c768-4a41-baa6-e7e3665ca0ad · outbound

This paper cites Minimum curvature flow and martingale exit times.Electronic Journal of Probability, 29:1–32, 2024.

Online Koml\'os converges to mean curvature flow Minimum curvature flow and martingale exit times.Electronic Journal of Probability, 29:1–32, 2024

Reference 86

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:9d496a853de686934b2d35b385302def4692e2acf9416c2adc81810234b21a84

Observation aaa26e28-3cb1-447d-aa80-a50909c063c7 · outbound

This paper cites Deterministic discrepancy minimization via the multiplicative weight update method.

Online Koml\'os converges to mean curvature flow Deterministic discrepancy minimization via the multiplicative weight update method

Reference 87

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:aef42c88741b623bec91f0ecd3a8a9ac8cc214a738025a39af12cc2a788c49ca

Observation 007a43d0-8cdc-44fe-94df-7b1204f24499 · outbound

This paper cites A game-theoretic proof of convexity-preserving properties for motion by curvature.Indiana Univ.

Online Koml\'os converges to mean curvature flow A game-theoretic proof of convexity-preserving properties for motion by curvature.Indiana Univ

Reference 88

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:bf3e2ebb84dbb99146cb342af12b36304b7c8f5bd91d9d4ee18b396843b12efb

Observation f308f4b4-a266-411d-ae13-3148ade0df23 · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 89

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:3f0c12fa68cf5ca457a92de5ec008a03a14de43d511ce9e0b1ffad9879c66de1

Observation 69c5d5c5-c4ea-4a93-aea8-f011efb891ea · outbound

This paper cites Constructive discrepancy minimization by walking on the edges.SIAM Journal on Computing, 44(5):1573–1582, 2015.

Online Koml\'os converges to mean curvature flow Constructive discrepancy minimization by walking on the edges.SIAM Journal on Computing, 44(5):1573–1582, 2015

Reference 90

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:f0cf17b686091c6218b3a42bf1b458bf7b22cc4b969e1980c422fc9a9788cdde

Observation 35baa559-ce2f-4d66-ba9a-0fadf641bbb4 · outbound

This paper cites Springer Berlin, Heidelberg, 1999.

Online Koml\'os converges to mean curvature flow Springer Berlin, Heidelberg, 1999

Reference 91

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:c0f867511bf803d855e764714bb1d767696a2d01bda0dbec394b4b49557d2132

Observation 3f762e5a-273d-4df7-9968-a7129b30e0f8 · outbound

This paper cites Factorization norms and hereditary discrepancy.International Mathematics Research Notices, 2020(3):751–780, 02 2020.

Online Koml\'os converges to mean curvature flow Factorization norms and hereditary discrepancy.International Mathematics Research Notices, 2020(3):751–780, 02 2020

Reference 92

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:ad9a30eeed3c60a073d36c77de50f78e188ddf95f3d1a6eb3c55330bef9a748a

Observation a0ff2945-5a6c-4dae-b4c9-85775cb702d4 · outbound

This paper cites On the role of convexity in isoperimetry, spectral gap and concentration.Inventiones mathematicae, 177:1 – 43, 2009.

Online Koml\'os converges to mean curvature flow On the role of convexity in isoperimetry, spectral gap and concentration.Inventiones mathematicae, 177:1 – 43, 2009

Reference 93

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:525f00ebaea772d4357a4f698f7427f8bd9220b564345d95838766245808e32f

Observation 1ff7d4b7-9bc0-4910-a7cd-8121e3fd7e2e · outbound

This paper cites The geometry of differential privacy: the sparse and approximate cases.

Online Koml\'os converges to mean curvature flow The geometry of differential privacy: the sparse and approximate cases

Reference 94

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:455e508fc0b1c64c06677c41e11cef8f199a3c69d0613313d58f21bb32378ec2

Observation 68357c5a-efae-4fa8-8386-cc9abf265a13 · outbound

This paper cites Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice.

Online Koml\'os converges to mean curvature flow Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice

Reference 95

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:95dc69f8fab2507058e6f4a21388018c86cda86fb6fce78fff780eab3f4a73a7

Observation caf63070-cc78-4f0d-867b-689e2b978e90 · outbound

This paper cites Applied Mathematical Sciences.

Online Koml\'os converges to mean curvature flow Applied Mathematical Sciences

Reference 96

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:c4c11e514a04122b922a3de5cdab7e78540742ae397af33bdbb4db780890c6a5

Observation 14f7d29b-0609-4a3d-a6dc-f78007a9f7c8 · outbound

This paper cites Tug-of-war and the infinity Laplacian.Journal of the American Mathematical Society, 22(1):167–210, 2009.

Online Koml\'os converges to mean curvature flow Tug-of-war and the infinity Laplacian.Journal of the American Mathematical Society, 22(1):167–210, 2009

Reference 97

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:6d9a6e8739766c6286b4ed98dc636dc55641b181d83827ccfbb8f952ae07fe33

Observation 69abc23f-8616-4565-9502-13a83326f3c9 · outbound

This paper cites Discrepancy minimization via regularization.

Online Koml\'os converges to mean curvature flow Discrepancy minimization via regularization

Reference 98

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:8592d8ff50f2840dc4ad568e48e97d3f912b34100e0c80897536a543e98e9830

Observation 95c53954-bbd4-4df9-beff-cd683d4b83dc · outbound

This paper cites an unresolved cited work.

Online Koml\'os converges to mean curvature flow Unresolved cited work

Reference 99

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:28ffb7502a15c8610b489039cc5136d011ef938626f98a348df401176a461c67

Observation b0398dd3-f931-4171-ad61-2b981b128869 · outbound

This paper cites Constructive discrepancy minimization for convex sets.SIAM Journal on Computing, 46(1):224–234, 2017.

Online Koml\'os converges to mean curvature flow Constructive discrepancy minimization for convex sets.SIAM Journal on Computing, 46(1):224–234, 2017

Reference 100

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source=pdf_text observed=2026-07-13T05:37:39.878537Z digest=sha256:b285b18700568fc072b0d9c717f2a49995d671cc30ebaad6a0b6143454d656f7

Pith citing papers

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