Big data approach to Kazhdan-Lusztig polynomials | Paper Citation Record

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This paper cites Andersen and W.X.

Big data approach to Kazhdan-Lusztig polynomials Andersen and W.X

Reference 1

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 2

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Observation f3d61987-6897-4f32-8ece-82e3b515df23 · outbound

This paper cites The Beauty of Roots.

Big data approach to Kazhdan-Lusztig polynomials The Beauty of Roots

Reference 3

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 4

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Observation 49bf63ae-4a66-4b2d-8e51-470979bb4d91 · outbound

This paper cites (Co)Minuscule Hecke categories.

Big data approach to Kazhdan-Lusztig polynomials (Co)Minuscule Hecke categories

Reference 5

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Observation eeeb21b2-6717-4ef5-9c71-bbd10ee88685 · outbound

This paper cites Lower bounds for Kazhdan-Lusztig polynomials from patterns.

Big data approach to Kazhdan-Lusztig polynomials Lower bounds for Kazhdan-Lusztig polynomials from patterns

Reference 6

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Observation 2de3ff17-ab35-4edb-a1cd-1cbc13485b4d · outbound

This paper cites Bj \"o rner and F.

Big data approach to Kazhdan-Lusztig polynomials Bj \"o rner and F

Reference 7

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Observation b1a7c537-430b-46c9-be16-7fe38788448f · outbound

This paper cites Towards combinatorial invariance for Kazhdan-Lusztig polynomials.

Big data approach to Kazhdan-Lusztig polynomials Towards combinatorial invariance for Kazhdan-Lusztig polynomials

Reference 8

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Observation 21665df7-c51c-43d4-a32f-4f2451173b96 · outbound

This paper cites From moment graphs to intersection cohomology.

Big data approach to Kazhdan-Lusztig polynomials From moment graphs to intersection cohomology

Reference 9

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Observation db2329f6-a538-48f8-892a-b289d8040bd8 · outbound

This paper cites Some open problems on Coxeter groups and unimodality.

Big data approach to Kazhdan-Lusztig polynomials Some open problems on Coxeter groups and unimodality

Reference 10

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Observation 58b7293f-19a6-499c-8aa6-6ca4739981a7 · outbound

This paper cites Blocks of cyclotomic Hecke algebras and Khovanov-Lauda algebras.

Big data approach to Kazhdan-Lusztig polynomials Blocks of cyclotomic Hecke algebras and Khovanov-Lauda algebras

Reference 11

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Observation 89354276-4372-423b-a037-e9471bb37bd3 · outbound

This paper cites Roots, Schottky semigroups, and a proof of Bandt's Conjecture.

Big data approach to Kazhdan-Lusztig polynomials Roots, Schottky semigroups, and a proof of Bandt's Conjecture

Reference 12

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Observation 1737a6f7-cca7-42a5-aa05-c9a41fa8f186 · outbound

This paper cites Positivity results for the Hecke algebras of non-crystallographic finite Coxeter groups.

Big data approach to Kazhdan-Lusztig polynomials Positivity results for the Hecke algebras of non-crystallographic finite Coxeter groups

Reference 13

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Observation cb60bbc7-2261-4676-9110-b69d07e2735f · outbound

This paper cites Cvitanovi \'c.

Big data approach to Kazhdan-Lusztig polynomials Cvitanovi \'c

Reference 14

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Observation 310a0ae6-2a6f-4769-92fe-962672eb5abe · outbound

This paper cites Davies, P.

Big data approach to Kazhdan-Lusztig polynomials Davies, P

Reference 15

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Observation 2ca2f14b-0003-4350-a7de-adf40f048e80 · outbound

This paper cites Ball mapper: a shape summary for topological data analysis.

Big data approach to Kazhdan-Lusztig polynomials Ball mapper: a shape summary for topological data analysis

Reference 16

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 17

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Observation e243087c-d3de-4091-94ec-f400047e00b7 · outbound

This paper cites Mapper-type algorithms for complex data and relations.

Big data approach to Kazhdan-Lusztig polynomials Mapper-type algorithms for complex data and relations

Reference 18

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Observation ff11e4a2-e7cd-48ac-8b54-0676ad6f00f8 · outbound

This paper cites Shuffle algebras, homology, and consecutive pattern avoidance.

Big data approach to Kazhdan-Lusztig polynomials Shuffle algebras, homology, and consecutive pattern avoidance

Reference 19

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Observation dda891f9-6058-4982-934c-5597e473df3c · outbound

This paper cites Etingof, S.

Big data approach to Kazhdan-Lusztig polynomials Etingof, S

Reference 20

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Observation 2175fea3-d142-4101-89b3-0c628e08c6df · outbound

This paper cites Content systems and deformations of cyclotomic KLR algebras of type $A$ and $C$.

Big data approach to Kazhdan-Lusztig polynomials Content systems and deformations of cyclotomic KLR algebras of type $A$ and $C$

Reference 21

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Observation d5630c22-d89a-407f-8aae-ee9828c86e74 · outbound

This paper cites Link invariants, the chromatic polynomial and the Potts model.

Big data approach to Kazhdan-Lusztig polynomials Link invariants, the chromatic polynomial and the Potts model

Reference 22

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Observation 1ae6142b-8776-4a9d-97ca-f80dc067fea3 · outbound

This paper cites Filaseta.

Big data approach to Kazhdan-Lusztig polynomials Filaseta

Reference 23

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Observation d12eaed9-252a-4549-928d-a6aa4166aab0 · outbound

This paper cites On the Monoidal Center of Deligne's Category Rep(S_t).

Big data approach to Kazhdan-Lusztig polynomials On the Monoidal Center of Deligne's Category Rep(S_t)

Reference 24

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Observation dce47e60-92ad-4668-92d0-2cab8af60398 · outbound

This paper cites Kazhdan-Lusztig polynomials and canonical basis.

Big data approach to Kazhdan-Lusztig polynomials Kazhdan-Lusztig polynomials and canonical basis

Reference 25

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 26

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 27

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Observation b4041a26-2b44-4669-9a19-010cdbb44883 · outbound

This paper cites On the Likelihood of Comparability in Bruhat Order.

Big data approach to Kazhdan-Lusztig polynomials On the Likelihood of Comparability in Bruhat Order

Reference 28

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Observation 7d6714f2-173b-433c-96c5-2c0a901805c4 · outbound

This paper cites Milnor numbers of projective hypersurfaces and the chromatic polynomial of graphs.

Big data approach to Kazhdan-Lusztig polynomials Milnor numbers of projective hypersurfaces and the chromatic polynomial of graphs

Reference 29

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Observation 3008c058-f92e-47d7-a315-83a96d9d7368 · outbound

This paper cites The $p$-Canonical Basis for Hecke Algebras.

Big data approach to Kazhdan-Lusztig polynomials The $p$-Canonical Basis for Hecke Algebras

Reference 30

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 31

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 32

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This paper cites Kazhdan and G.

Big data approach to Kazhdan-Lusztig polynomials Kazhdan and G

Reference 33

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Observation cec5033a-9d84-41f9-9a4a-ad226ffcf336 · outbound

This paper cites A diagrammatic approach to categorification of quantum groups I.

Big data approach to Kazhdan-Lusztig polynomials A diagrammatic approach to categorification of quantum groups I

Reference 34

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Observation 09592712-a0f8-47c7-aa93-c3a2bd393c48 · outbound

This paper cites Web bases for sl(3) are not dual canonical.

Big data approach to Kazhdan-Lusztig polynomials Web bases for sl(3) are not dual canonical

Reference 35

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Observation 9e9f2af8-de88-4b11-a893-dcdec8bf7c59 · outbound

This paper cites Spiders for rank 2 Lie algebras.

Big data approach to Kazhdan-Lusztig polynomials Spiders for rank 2 Lie algebras

Reference 36

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Observation c9e69a6b-ca33-48a9-9278-e8e734f3f63d · outbound

This paper cites A formula to evaluate type A webs and link polynomials.

Big data approach to Kazhdan-Lusztig polynomials A formula to evaluate type A webs and link polynomials

Reference 37

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Observation 6b873c06-349b-4ef4-9fc1-28f4f71d9ecb · outbound

This paper cites Lacabanne, D.

Big data approach to Kazhdan-Lusztig polynomials Lacabanne, D

Reference 38

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Observation bb6913d8-9c1d-44a6-9a39-24ac6e37fb62 · outbound

This paper cites Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial.

Big data approach to Kazhdan-Lusztig polynomials Big Data Approaches to Knot Theory: Understanding the Structure of the Jones Polynomial

Reference 39

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Observation 619f650b-ab8d-49e5-9233-3f0ba4948fc9 · outbound

This paper cites Hecke algebras with unequal parameters.

Big data approach to Kazhdan-Lusztig polynomials Hecke algebras with unequal parameters

Reference 40

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Observation 9365a44a-df95-4a44-9b8e-3692fb81dc4d · outbound

This paper cites Simple transitive $2$-representations of Soergel bimodules for finite Coxeter types.

Big data approach to Kazhdan-Lusztig polynomials Simple transitive $2$-representations of Soergel bimodules for finite Coxeter types

Reference 41

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Observation 4a08ab71-59ee-4699-9127-65a090ddcbc9 · outbound

This paper cites The sl_3 web algebra.

Big data approach to Kazhdan-Lusztig polynomials The sl_3 web algebra

Reference 42

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Observation 0f65da2f-55f6-46f7-9e0b-2ec76eb48acd · outbound

This paper cites Cellularity of KLR and weighted KLRW algebras via crystals.

Big data approach to Kazhdan-Lusztig polynomials Cellularity of KLR and weighted KLRW algebras via crystals

Reference 43

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Observation a709a63b-4a4b-4097-ae1d-d3b35c5a1ad5 · outbound

This paper cites Distribution of roots of random real generalized polynomials.

Big data approach to Kazhdan-Lusztig polynomials Distribution of roots of random real generalized polynomials

Reference 44

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Observation 2cee6d5c-468e-4751-8244-5efd27367d55 · outbound

This paper cites Categories generated by a trivalent vertex.

Big data approach to Kazhdan-Lusztig polynomials Categories generated by a trivalent vertex

Reference 45

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Observation 8a909277-965e-4b4a-af3d-b4e47c944574 · outbound

This paper cites The O n- L ine E ncyclopedia of I nteger S equences, 2023.

Big data approach to Kazhdan-Lusztig polynomials The O n- L ine E ncyclopedia of I nteger S equences, 2023

Reference 46

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Observation d5f97176-7d1e-4511-b839-9e51a1396cfb · outbound

This paper cites Graded cellular bases for Temperley-Lieb algebras of type A and B.

Big data approach to Kazhdan-Lusztig polynomials Graded cellular bases for Temperley-Lieb algebras of type A and B

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.387275Z

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Observation a5721cec-7113-4568-b755-9f8bbb205e21 · outbound

This paper cites 2-Kac-Moody algebras.

Big data approach to Kazhdan-Lusztig polynomials 2-Kac-Moody algebras

Reference 48

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This paper cites u r die V alenztheorie geeignete B asis der bin \.

Big data approach to Kazhdan-Lusztig polynomials u r die V alenztheorie geeignete B asis der bin \

Reference 49

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Observation eafa4006-219d-4baf-9555-425c6feee420 · outbound

This paper cites Russell and J.

Big data approach to Kazhdan-Lusztig polynomials Russell and J

Reference 50

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Observation c2481662-7a60-4fce-b7b4-2079676a77c0 · outbound

This paper cites The transition matrix between the Specht and web bases is unipotent with additional vanishing entries.

Big data approach to Kazhdan-Lusztig polynomials The transition matrix between the Specht and web bases is unipotent with additional vanishing entries

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.361331Z

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Observation a64b2a59-3ce8-4351-8286-2cd117fee3f2 · outbound

This paper cites Structure of the chromatic polynomial.

Big data approach to Kazhdan-Lusztig polynomials Structure of the chromatic polynomial

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.345673Z

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Observation bf1e17c1-398a-40b9-952e-136afe3a0648 · outbound

This paper cites Shapiro, M.

Big data approach to Kazhdan-Lusztig polynomials Shapiro, M

Reference 53

Resolution: verified exact; doi, observed 2026-08-12T04:39:38.144422Z

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Observation cad59107-212f-4aa8-9c47-2f931a2b3d03 · outbound

This paper cites Shepp and R.J.

Big data approach to Kazhdan-Lusztig polynomials Shepp and R.J

Reference 54

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Observation b9950bcd-7587-4654-aa1f-e0bcb14e8b46 · outbound

This paper cites Singh, F.

Big data approach to Kazhdan-Lusztig polynomials Singh, F

Reference 55

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Observation 4cd72b56-3a36-4b2c-bac7-7a56e1511d50 · outbound

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Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 56

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Observation 5a764410-afb7-4db0-a9e5-71af6fff0925 · outbound

This paper cites SL2 tilting modules in the mixed case.

Big data approach to Kazhdan-Lusztig polynomials SL2 tilting modules in the mixed case

Reference 57

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Observation 8faf00ec-bc09-4b0e-9b8a-285c481eebb4 · outbound

This paper cites Tamassia, editor.

Big data approach to Kazhdan-Lusztig polynomials Tamassia, editor

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:39:38.968028Z

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Observation b9a7fb23-6f78-4a5c-9985-976140aa7952 · outbound

This paper cites Pattern Avoidance and the Bruhat Order.

Big data approach to Kazhdan-Lusztig polynomials Pattern Avoidance and the Bruhat Order

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.318606Z

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Observation ef4c1fa1-dc0d-4883-98be-5948a2f1e856 · outbound

This paper cites On rank one 2-representations of web categories.

Big data approach to Kazhdan-Lusztig polynomials On rank one 2-representations of web categories

Reference 60

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Observation 5aba532f-05d7-481a-94a4-f63f155f351d · outbound

This paper cites Equivalence classes for the mu-coefficient of Kazhdan-Lusztig polynomials in S_n.

Big data approach to Kazhdan-Lusztig polynomials Equivalence classes for the mu-coefficient of Kazhdan-Lusztig polynomials in S_n

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.293967Z

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Observation 51a79263-f9e1-46e2-a823-a990a5e78ea3 · outbound

This paper cites Weighted Khovanov-Lauda-Rouquier algebras.

Big data approach to Kazhdan-Lusztig polynomials Weighted Khovanov-Lauda-Rouquier algebras

Reference 62

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Observation fe0d8362-401c-4d09-8697-0e3064b16ecb · outbound

This paper cites Is deep learning a useful tool for the pure mathematician?.

Big data approach to Kazhdan-Lusztig polynomials Is deep learning a useful tool for the pure mathematician?

Reference 63

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Observation 0d14bc46-9118-42c4-a725-ac05a02714b6 · outbound

This paper cites Permutations with Kazhdan-Lusztig polynomial P_{id,w}(q) = 1 + q^h.

Big data approach to Kazhdan-Lusztig polynomials Permutations with Kazhdan-Lusztig polynomial P_{id,w}(q) = 1 + q^h

Reference 64

Resolution: malformed identifier; local_arxiv, observed 2026-08-12T04:39:38.256540Z

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Observation 629d9d86-8076-41fe-ad44-e017634a86cc · outbound

This paper cites Zeroes of the Jones polynomial.

Big data approach to Kazhdan-Lusztig polynomials Zeroes of the Jones polynomial

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:39:38.239348Z

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Observation 9b62d670-ecd7-470f-9194-2ac343dcfe5f · outbound

This paper cites an unresolved cited work.

Big data approach to Kazhdan-Lusztig polynomials Unresolved cited work

Reference 66

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