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Paper Citation Record · LEDGER

Tailoring interactions between active nematic defects with reinforcement learning

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2411.09588.

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

pith.paper-citation-record.v1
2411.09588 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:35:16.206190Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bbb78a6-9d30-4c54-976a-abd0b861d3a1 · outbound

This paper cites Cell mechanics and the cytoskeleton.

Tailoring interactions between active nematic defects with reinforcement learning Cell mechanics and the cytoskeleton

Reference 1

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Observation dd226b23-f5ea-43a9-a608-9161d36c54fd · outbound

This paper cites The actin cytoskeleton as an active adaptive material.

Tailoring interactions between active nematic defects with reinforcement learning The actin cytoskeleton as an active adaptive material

Reference 2

Resolution
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Observation 939e8623-4fa3-4f7f-aabe-efa90faf9a79 · outbound

This paper cites Physics of smart active matter: integrating active matter and control to gain insights into living systems.

Tailoring interactions between active nematic defects with reinforcement learning Physics of smart active matter: integrating active matter and control to gain insights into living systems

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 7cd83d67-6274-4b26-8f94-9951bbb62dea · outbound

This paper cites Cytokinesis: placing and making the final cut.

Tailoring interactions between active nematic defects with reinforcement learning Cytokinesis: placing and making the final cut

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 95aa8a2d-6d47-4b08-bda0-62b9e9a5e117 · outbound

This paper cites Topological defects in the nematic order of actin fibres as organization centres of hydra morphogenesis.

Tailoring interactions between active nematic defects with reinforcement learning Topological defects in the nematic order of actin fibres as organization centres of hydra morphogenesis

Reference 5

Resolution
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Source-reported events for the cited work

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Observation bda45626-4dc7-4b1b-81f4-553fa176bedb · outbound

This paper cites Integer topological defects organize stresses driving tissue morphogenesis.

Tailoring interactions between active nematic defects with reinforcement learning Integer topological defects organize stresses driving tissue morphogenesis

Reference 6

Resolution
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Source-reported events for the cited work

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Observation d213f230-cd3d-4434-a41d-55510d1ae6cd · outbound

This paper cites Defect-mediated dynamics of coherent structures in active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Defect-mediated dynamics of coherent structures in active nematics

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 227e49e8-db83-45ba-84d8-589d4419e4c6 · outbound

This paper cites Topological active matter.

Tailoring interactions between active nematic defects with reinforcement learning Topological active matter

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 515ea908-2940-40c3-8ca6-59912984f3bd · outbound

This paper cites Tissue active matter: Integrating mechanics and signaling into dynamical models.

Tailoring interactions between active nematic defects with reinforcement learning Tissue active matter: Integrating mechanics and signaling into dynamical models

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 67533d4a-6565-45ea-8c49-8ed73aa69623 · outbound

This paper cites Visceral organ morphogenesis via calcium-patterned muscle constrictions.

Tailoring interactions between active nematic defects with reinforcement learning Visceral organ morphogenesis via calcium-patterned muscle constrictions

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 6853db33-fbcb-42c0-a190-eddb3d469e19 · outbound

This paper cites Mechanical and biochemical feedback combine to generate complex contractile oscillations in cytokinesis.

Tailoring interactions between active nematic defects with reinforcement learning Mechanical and biochemical feedback combine to generate complex contractile oscillations in cytokinesis

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 2026-08-15T06:32:42.880941+00:00.

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Observation d348ec4e-9477-4b34-8f95-b1102aec681f · outbound

This paper cites A minimal mathematical model for polarity establishment and centralspindlin-independent cytokinesis.

Tailoring interactions between active nematic defects with reinforcement learning A minimal mathematical model for polarity establishment and centralspindlin-independent cytokinesis

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation adfb6153-e04b-4131-98a8-aefd0d2aa9f6 · outbound

This paper cites Disordered actomyosin networks are sufficient to produce cooperative and telescopic contractility.

Tailoring interactions between active nematic defects with reinforcement learning Disordered actomyosin networks are sufficient to produce cooperative and telescopic contractility

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 2026-08-15T06:32:42.880941+00:00.

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Observation b07025bf-292d-4918-9c09-9d88ea3f6955 · outbound

This paper cites Engineering myosins for long-range transport on actin filaments.

Tailoring interactions between active nematic defects with reinforcement learning Engineering myosins for long-range transport on actin filaments

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6f5aaccf-d651-4d41-bd6a-9d41e507e7bf · outbound

This paper cites Remote control of myosin and kinesin motors using light-activated gearshifting.

Tailoring interactions between active nematic defects with reinforcement learning Remote control of myosin and kinesin motors using light-activated gearshifting

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fc1a6b13-7506-4956-b532-1f30b89a1814 · outbound

This paper cites Spatiotemporal control of liquid crystal structure and dynamics through activity patterning.

Tailoring interactions between active nematic defects with reinforcement learning Spatiotemporal control of liquid crystal structure and dynamics through activity patterning

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 2026-08-15T06:32:42.880941+00:00.

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Observation 2139a915-4fdc-401e-a881-bf89190eb2a8 · outbound

This paper cites Spatio-temporal patterning of extensile active stresses in microtubule-based active fluids.

Tailoring interactions between active nematic defects with reinforcement learning Spatio-temporal patterning of extensile active stresses in microtubule-based active fluids

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5885638b-9f37-4332-8e81-bf971fa4d41c · outbound

This paper cites Shining a light on rhoa: Optical control of cell contractility.

Tailoring interactions between active nematic defects with reinforcement learning Shining a light on rhoa: Optical control of cell contractility

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e1813d41-035f-4a2f-b795-b7d0a0501757 · outbound

This paper cites Optimal control of active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Optimal control of active nematics

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cba7eccc-b591-4e85-b4a9-c7e111c9b9f8 · outbound

This paper cites Spatiotemporal control of structure and dynamics in a polar active fluid.

Tailoring interactions between active nematic defects with reinforcement learning Spatiotemporal control of structure and dynamics in a polar active fluid

Reference 20

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f0635d8-33a3-49d3-8fe6-81aa817359fe · outbound

This paper cites Achieving designed texture and flows in bulk active nematics using optimal control theory.

Tailoring interactions between active nematic defects with reinforcement learning Achieving designed texture and flows in bulk active nematics using optimal control theory

Reference 21

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d23f8ef0-261c-477d-ac8c-9c83608d3295 · outbound

This paper cites Exact coherent structures and phase space geometry of preturbulent 2d active nematic channel flow.

Tailoring interactions between active nematic defects with reinforcement learning Exact coherent structures and phase space geometry of preturbulent 2d active nematic channel flow

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8db0add3-d729-47f7-b3e6-f4b97899017a · outbound

This paper cites Design rules for controlling active topological defects.

Tailoring interactions between active nematic defects with reinforcement learning Design rules for controlling active topological defects

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ebf647a0-f001-4120-85ad-6889b437bc36 · outbound

This paper cites Dislocation reactions, grain boundaries, and irreversibility in two-dimensional lattices using topological tweezers.

Tailoring interactions between active nematic defects with reinforcement learning Dislocation reactions, grain boundaries, and irreversibility in two-dimensional lattices using topological tweezers

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 156bc7c9-e416-4a99-ba70-62dd0662c470 · outbound

This paper cites Reinforcement learning: an introduction.

Tailoring interactions between active nematic defects with reinforcement learning Reinforcement learning: an introduction

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation e3e561dc-3bf4-49f1-a4ee-8aae5774b741 · outbound

This paper cites Control theory for physicists.

Tailoring interactions between active nematic defects with reinforcement learning Control theory for physicists

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d076e716-e70f-45ec-a417-eb9e7b4f4995 · outbound

This paper cites Learning to control active matter.

Tailoring interactions between active nematic defects with reinforcement learning Learning to control active matter

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 55bcac83-f762-45d5-bb63-04a585656786 · outbound

This paper cites Probing the theoretical and computational limits of dissipative design.

Tailoring interactions between active nematic defects with reinforcement learning Probing the theoretical and computational limits of dissipative design

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 2026-08-15T06:32:42.880941+00:00.

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Observation 54b0f14f-8289-4e8b-9aa5-c7a9e9b50813 · outbound

This paper cites Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control.

Tailoring interactions between active nematic defects with reinforcement learning Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 870d260d-83ca-4226-bfa9-c2f1ace9e34d · outbound

This paper cites Active particles bound by information flows.

Tailoring interactions between active nematic defects with reinforcement learning Active particles bound by information flows

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.141243Z digest=sha256:1906aaee084ce2d4699e69d3a5324ca0ed0b7a7c1a98d4341b55a5c79d824f3e

Observation be347804-12ec-42e2-977d-4e776617fa24 · outbound

This paper cites Self-organization of active particles by quorum sensing rules.

Tailoring interactions between active nematic defects with reinforcement learning Self-organization of active particles by quorum sensing rules

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.451322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.144012Z digest=sha256:a834b41b2f0945330d2d0192f40a968838f5af0aea75163afac4fea15e00ba92

Observation 4c855f28-3799-4c20-b457-fdbaeb4543fd · outbound

This paper cites Learning to control non-equilibrium dynamics using local imperfect gradients.

Tailoring interactions between active nematic defects with reinforcement learning Learning to control non-equilibrium dynamics using local imperfect gradients

Reference 32

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:35:16.147170Z digest=sha256:e8ff1949eaeb1e09cd9922dcfaae7a64e35c55dbcf81073eddc6ebcf48e7168c

Observation eb454718-ae87-40a8-bc1a-877b44159f58 · outbound

This paper cites Orientation of topological defects in 2d nematic liquid crystals.

Tailoring interactions between active nematic defects with reinforcement learning Orientation of topological defects in 2d nematic liquid crystals

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.442358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.150396Z digest=sha256:70e5e5c8a88e4c5bef3813d5d7db4dcf8264c309d4ed370ef8942cc725077964

Observation 3cec437e-fa28-4a78-870f-78e7bf03fccd · outbound

This paper cites Defect unbinding in active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Defect unbinding in active nematics

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.433368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.153139Z digest=sha256:f1c147e0a1280fb63fa4a308e0ec8d4e595625e0a77cf88366e6a123eb62fd19

Observation 1d8c6457-2dd0-49fa-b498-687c63293c05 · outbound

This paper cites Data-driven discovery of active nematic hydrodynamics.

Tailoring interactions between active nematic defects with reinforcement learning Data-driven discovery of active nematic hydrodynamics

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.424150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.156010Z digest=sha256:016090ec18f7ff8c44a44341b9c939d160230a9c24347bfc99da6b62ef179a67

Observation 638032c5-34fa-491b-8f3f-f6a9c13c8a8c · outbound

This paper cites Deterministic policy gradient algorithms.

Tailoring interactions between active nematic defects with reinforcement learning Deterministic policy gradient algorithms

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.415043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.158696Z digest=sha256:bd03eb3a468024bc17372b8bffee4f6800f2a1fb23a461a32b70b7b2a2c84f67

Observation 90f4395f-185d-4b8f-9f16-eb09e6863eac · outbound

This paper cites Continuous control with deep reinforcement learning.

Tailoring interactions between active nematic defects with reinforcement learning Continuous control with deep reinforcement learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T20:35:16.162318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:35:16.162318Z digest=sha256:3fc3a0249d83ef0bcbb886d180ae05485b0a7ff2de16eeb7a9237199b620f628

Observation b7875b9b-8820-40c0-b6b6-703ddd205c5d · outbound

This paper cites Simulating structured fluids with tensorial viscoelasticity.

Tailoring interactions between active nematic defects with reinforcement learning Simulating structured fluids with tensorial viscoelasticity

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.405533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.165949Z digest=sha256:697397e092a1a600fc9e657c236f179114525baa0cbc648a07d6abdcb663a091

Observation 3d2a1fd5-97c9-406a-b9bc-3653e85a068c · outbound

This paper cites Pattern formation in odd viscoelastic fluids.

Tailoring interactions between active nematic defects with reinforcement learning Pattern formation in odd viscoelastic fluids

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.396032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.168765Z digest=sha256:78f19c93da902646e1c8c62888a20689b3fc2fdd93d5a230502a41f2931275eb

Observation 0d4a8d8d-9da3-4aea-b3fc-cae12b2f7e63 · outbound

This paper cites Motor crosslinking augments elasticity in active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Motor crosslinking augments elasticity in active nematics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.386778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.171517Z digest=sha256:7c52388dadce028a04f9c5b7c4b807bfd66730da701ea3344a50390f3ea8558b

Observation 7adfa36c-fe16-44d4-94bd-e03b80ec8161 · outbound

This paper cites Correlation lengths in hydrodynamic models of active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Correlation lengths in hydrodynamic models of active nematics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.376396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.174270Z digest=sha256:aaf4c6bfcbe50f0ab963959731357259488d1e527c1fbb38b0856ae609e72d44

Observation 9d2756b9-5b60-42e8-b808-82a4b6004cc9 · outbound

This paper cites Reinforcementlearning.jl: A reinforcement learning package for the julia programming language, 2020.

Tailoring interactions between active nematic defects with reinforcement learning Reinforcementlearning.jl: A reinforcement learning package for the julia programming language, 2020

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.367357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.177024Z digest=sha256:d685a1f8f730a2f9234af1d67a60e825b0e38ee27fa8a56ea52c710bb1bed503

Observation 4a176bca-8062-44b8-b494-6c77e8fe31d4 · outbound

This paper cites Defect dynamics in active nematics.

Tailoring interactions between active nematic defects with reinforcement learning Defect dynamics in active nematics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.357493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.180755Z digest=sha256:0d58811a196539672116ad887e10e3f024578588e7f78660e0b3c2d17bcf1e8e

Observation a8e1e63a-8ebf-42f4-b49e-2fb45df65505 · outbound

This paper cites Reaching the limit in autonomous racing: Optimal control versus reinforcement learning.

Tailoring interactions between active nematic defects with reinforcement learning Reaching the limit in autonomous racing: Optimal control versus reinforcement learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.347796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.183579Z digest=sha256:d27921a628eb89e81b1bb81251ab5ce0b0be213ad3dfb36919e66bfdaf10b461

Observation 54de2365-43fa-4f3a-8e94-f4a603757f11 · outbound

This paper cites A machine learning approach to robustly determine director fields and analyze defects in active nematics.

Tailoring interactions between active nematic defects with reinforcement learning A machine learning approach to robustly determine director fields and analyze defects in active nematics

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.338521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.186590Z digest=sha256:01cf917eac6637c5e940e2313bafc91e7c79a267b85fe87431ad1fb247f2812d

Observation 53bd7d63-2e55-48f6-8797-6f56471988f3 · outbound

This paper cites Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics.

Tailoring interactions between active nematic defects with reinforcement learning Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T20:35:16.189413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:35:16.189413Z digest=sha256:3f3ff43e2c2b7fe687556f01d2b30afdbf183c4a5572a0007a8883df33d5bf4b

Observation ca892461-a99d-4d14-bb88-994bd62f3913 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Tailoring interactions between active nematic defects with reinforcement learning Mastering the game of go with deep neural networks and tree search

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T20:35:16.192510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:35:16.192510Z digest=sha256:82d46b951a848b37f1c070870e3a0c8c08212666efcc3ec027887ff1a5792eaf

Observation b297b9ce-148d-4b19-8a3e-f95143b67d18 · outbound

This paper cites Glider soaring via reinforcement learning in the field.

Tailoring interactions between active nematic defects with reinforcement learning Glider soaring via reinforcement learning in the field

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.323034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.195232Z digest=sha256:68dae1d9eaf3816e5518bca6a17ceeb44f4cf3f2b660e56d53fb6185ea2bdd59

Observation 4842bcb7-8c49-40c7-a909-635b0bf1f4c5 · outbound

This paper cites Machine learning active-nematic hydrodynamics.

Tailoring interactions between active nematic defects with reinforcement learning Machine learning active-nematic hydrodynamics

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.311985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.197939Z digest=sha256:e0fe785a9b97d0f20e99537491f2e3af1f9645c1064210d53e3e501ad641bdf7

Observation 27c4ded8-a496-4665-8065-9bc124604e8a · outbound

This paper cites Rheology of active-particle suspensions.

Tailoring interactions between active nematic defects with reinforcement learning Rheology of active-particle suspensions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.301401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.200693Z digest=sha256:b1991a5be508bee2d79e36836198c21d1805bd45bad3f8b6deb968edd8ccde79

Observation 8171fb50-83d6-4c71-9652-e4034ec29ecb · outbound

This paper cites Hydrodynamics of soft active matter.

Tailoring interactions between active nematic defects with reinforcement learning Hydrodynamics of soft active matter

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.290992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.203483Z digest=sha256:10c838cf62ad2dd8524abf446a9dbd32ae5f9478455f5f9f8b78e416d97b109a

Observation 6807d173-aeef-4865-9e1f-c133f705a592 · outbound

This paper cites Thermodynamics of flowing systems: with internal microstructure.

Tailoring interactions between active nematic defects with reinforcement learning Thermodynamics of flowing systems: with internal microstructure

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:35:16.282047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.206190Z digest=sha256:f18e5f4e411b6e40dcb16e95593540a0499bb2310ede5c39e43f1c242f456979

Pith citing papers

No inbound Pith citation observations are available.