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Paper Citation Record · LEDGER

Tailoring interactions between active nematic defects with reinforcement learning

As of 14 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 2026-08-14T06:32:32.682623+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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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Source-reported events for the cited work

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.105874Z digest=sha256:4eaa6e702a3e4c8595bcf3c83357c57d8a13fa37143a8d4b7f22ee8e373c5f43

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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
raw_fallback, observed 2026-08-12T20:35:16.460482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.141243Z digest=sha256:46439d1b8b904c8a9c4a2e57d3fb739d252e158d581d0b4caa4f0d8bc0baa698

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.144012Z digest=sha256:0faecb7413a995105e257fe8f0e7c1a93bd5d3dea9770bb10ec0b23db6106448

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:ada8842f93caef87a81101a418318159dfffd579b9c22341e62d3b209b21f2e8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.150396Z digest=sha256:94ee6230fd1bf5f43eafa467f4143f7a77a01ebc2ac85735a2e08d2209bbbf8c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.153139Z digest=sha256:33bcc7249cecad98b1053644f379e73707e594589d5cb170e08255e487171739

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.156010Z digest=sha256:9d2b40d46e2663a0e93c76971b2ca3c94b7b8f8cc4a6753840f7a0db676f39e5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.158696Z digest=sha256:5c4cfb5ffacc1bed7bbcbda619dc3752fc7edf8d707a1d085e6afc0905672954

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=sha256:2841f04a8ed11d788aeedf67e602e4a34df06b0a4e7ef53546bc06aa344cce65

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.165949Z digest=sha256:8611cced270503dbfa4d1534ee200a6dd6a20f1413a6ae77cd5bf54ff19409a5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.168765Z digest=sha256:84aa287eb30c0b7d71bbb3a6d1256068df50c20389dc007af6ffcea9fa6632d8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.171517Z digest=sha256:7a5c5805e0485f27715fce1b8b190597004055a274a9255bde3a96100e91bd80

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.174270Z digest=sha256:8edfee316ed8990e6f927c15e7abcd655fa0b40709008070ee2267510d86ae18

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.177024Z digest=sha256:740893f3cfba42a6d2dbd0e4224ca5ac0778f4f9291e8e1488ada018f3ff6264

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.180755Z digest=sha256:6d0996bc69b1527e3b2125ea193840f5e9aa51568ee06ca9030d5afc664c1bb8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.183579Z digest=sha256:b4f48a73282eb035ccf21bbf7f8800cee0925accde491885f5f1872ff8885668

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.186590Z digest=sha256:ed54a741bf9038fd95cbab088307db12e6b88e6ad6a87b8f6101602244081e7f

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:d17ece427a41aa0082fe9b5762d30ed02038f2189d821bb7e3d6e19b2e004148

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=sha256:9fdd1269d3491dc014963f8914b7d53d35da484cd8dd2c3161079b374f6a6d9e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.195232Z digest=sha256:00c1c68d43ca95e533333d9380d836f543a59118eee3bc20fc4ea1b14c9d2e7c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.197939Z digest=sha256:3bfd03d0eb232f26912c3cccc790e1a2609d085532eeac91438cd86a50dea334

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.200693Z digest=sha256:784f7631c6d4d809902b56ecf4f51d1fb31fa8d8952ac109a3761214ea950476

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.203483Z digest=sha256:2839bd08b3ad531f0b1779e1ba502abe48a67646b690c963ceca0631509be105

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:35:16.206190Z digest=sha256:a7abb3274658356109a10eafe1616b8b05427c9f308e6ee154550bb5ac9f37b1

Pith citing papers

No inbound Pith citation observations are available.