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Paper Citation Record · LEDGER

Missing Data Imputation using Neural Cellular Automata

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.00651.

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

pith.paper-citation-record.v1
2509.00651 v2

Coverage vector

measured 41 of 41 reference resolution

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measured 41 of 41 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation 4edf7b1c-9f06-48b8-bc55-2dcfb9d26cf5 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Missing Data Imputation using Neural Cellular Automata Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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Observation e01f7013-0bda-45fd-8963-95bed993ee2a · outbound

This paper cites Importance Weighted Autoencoders.

Missing Data Imputation using Neural Cellular Automata Importance Weighted Autoencoders

Reference 2

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Observation 2d0eba6d-56bd-49db-b642-7f782c8dce9b · outbound

This paper cites Illuminating diverse neural cellular automata for level generation, in: Proceedings of the Genetic and Evolution- ary Computation Conference, pp.

Missing Data Imputation using Neural Cellular Automata Illuminating diverse neural cellular automata for level generation, in: Proceedings of the Genetic and Evolution- ary Computation Conference, pp

Reference 3

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This paper cites Mathematical games.

Missing Data Imputation using Neural Cellular Automata Mathematical games

Reference 4

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Observation faeea23e-f350-4823-ab67-3aae0f595968 · outbound

This paper cites Cellular automata as convolutional neural networks.

Missing Data Imputation using Neural Cellular Automata Cellular automata as convolutional neural networks

Reference 5

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Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 6

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Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 7

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Observation da16373e-2c56-4099-96f5-653631dbf82d · outbound

This paper cites The impact of data imputation on air quality prediction problem.

Missing Data Imputation using Neural Cellular Automata The impact of data imputation on air quality prediction problem

Reference 8

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Observation a1819354-19e9-4b6e-87fc-6beaef5e9190 · outbound

This paper cites The uci machine learning repository.

Missing Data Imputation using Neural Cellular Automata The uci machine learning repository

Reference 9

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Observation 67c8fbd2-fd99-4095-8429-a00403c0e2f6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Missing Data Imputation using Neural Cellular Automata Auto-Encoding Variational Bayes

Reference 10

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This paper cites Adam: A Method for Stochastic Optimization.

Missing Data Imputation using Neural Cellular Automata Adam: A Method for Stochastic Optimization

Reference 11

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Observation 69f22d05-88db-4497-9243-7252e6852858 · outbound

This paper cites Statistical analysis with missing data (vol.

Missing Data Imputation using Neural Cellular Automata Statistical analysis with missing data (vol

Reference 12

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Observation 5162d630-f5a0-4540-8703-2b7ccbb4353e · outbound

This paper cites Visualizing data using t-sne.

Missing Data Imputation using Neural Cellular Automata Visualizing data using t-sne

Reference 13

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Observation 76aa48c3-32eb-4e41-a399-52b0ffb797f4 · outbound

This paper cites Miwae: Deep generative modelling and imputation of incomplete data sets, in: International conference on machine learning, PMLR.

Missing Data Imputation using Neural Cellular Automata Miwae: Deep generative modelling and imputation of incomplete data sets, in: International conference on machine learning, PMLR

Reference 14

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Observation c432043e-0e83-4513-9587-2bd39bf268e4 · outbound

This paper cites Growing isotropic neural cellular au- tomata, in: Artificial Life Conference Proceedings 34, One Rogers Street, Cambridge, MA 02142-1209, USA journals-info@ mit.

Missing Data Imputation using Neural Cellular Automata Growing isotropic neural cellular au- tomata, in: Artificial Life Conference Proceedings 34, One Rogers Street, Cambridge, MA 02142-1209, USA journals-info@ mit

Reference 15

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Observation 6204fcef-f0d7-4327-a054-6c4d3f85f462 · outbound

This paper cites Growing neural cellular automata.

Missing Data Imputation using Neural Cellular Automata Growing neural cellular automata

Reference 16

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Observation b0669808-0363-48c6-b931-0a3dcc7e6bde · outbound

This paper cites Handling incomplete hetero- geneous data using vaes.

Missing Data Imputation using Neural Cellular Automata Handling incomplete hetero- geneous data using vaes

Reference 17

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Observation 3f26d3b5-a88d-4c11-b726-24f997508069 · outbound

This paper cites Self-organising textures.

Missing Data Imputation using Neural Cellular Automata Self-organising textures

Reference 18

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Observation 28375eaf-7950-4a32-9421-612716a4ccde · outbound

This paper cites Generative Adversarial Neural Cellular Automata.

Missing Data Imputation using Neural Cellular Automata Generative Adversarial Neural Cellular Automata

Reference 19

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Observation 6e86f601-e5cf-46b7-889f-3f57e6b12e41 · outbound

This paper cites Mesh neural cellular automata.

Missing Data Imputation using Neural Cellular Automata Mesh neural cellular automata

Reference 20

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Observation 67a5af03-4308-4d8c-823a-a1fbe4421560 · outbound

This paper cites Variational Neural Cellular Automata.

Missing Data Imputation using Neural Cellular Automata Variational Neural Cellular Automata

Reference 21

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This paper cites Scikit-learn: Machine learning in Python.

Missing Data Imputation using Neural Cellular Automata Scikit-learn: Machine learning in Python

Reference 22

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Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 23

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Observation 91a1d3ae-7227-4071-a011-804f0d6bcfd4 · outbound

This paper cites A multivariate technique for multiply imputing missing values using a sequence of regression models.

Missing Data Imputation using Neural Cellular Automata A multivariate technique for multiply imputing missing values using a sequence of regression models

Reference 24

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Observation 4e2a4d82-efff-4850-999f-72d0f8c73f2c · outbound

This paper cites Growing steerable neural cellular au- tomata, in: Artificial Life Conference Proceedings 35, One Rogers Street, Cambridge, MA 02142-1209, USA journals-info@ mit.

Missing Data Imputation using Neural Cellular Automata Growing steerable neural cellular au- tomata, in: Artificial Life Conference Proceedings 35, One Rogers Street, Cambridge, MA 02142-1209, USA journals-info@ mit

Reference 25

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Observation e3e8399d-fb1e-4b5c-bc84-86fbf871b770 · outbound

This paper cites Adversarial reprogram- ming of neural cellular automata.

Missing Data Imputation using Neural Cellular Automata Adversarial reprogram- ming of neural cellular automata

Reference 26

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This paper cites Self- classifying mnist digits.

Missing Data Imputation using Neural Cellular Automata Self- classifying mnist digits

Reference 27

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Missing Data Imputation using Neural Cellular Automata Inference and missing data

Reference 28

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This paper cites Image segmentation via Cellular Automata.

Missing Data Imputation using Neural Cellular Automata Image segmentation via Cellular Automata

Reference 29

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Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 30

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This paper cites Missforest—non-parametric missing value imputa- tion for mixed-type data.

Missing Data Imputation using Neural Cellular Automata Missforest—non-parametric missing value imputa- tion for mixed-type data

Reference 31

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Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 32

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This paper cites Attention-based neural cellular automata.

Missing Data Imputation using Neural Cellular Automata Attention-based neural cellular automata

Reference 33

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Observation a19fec4b-c4fb-43ce-9f7f-4c36ae2c3dcf · outbound

This paper cites Missing value estimation methods for dna microarrays.

Missing Data Imputation using Neural Cellular Automata Missing value estimation methods for dna microarrays

Reference 34

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Observation 46563174-9ef5-415c-b824-9b81373f0f74 · outbound

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Missing Data Imputation using Neural Cellular Automata mice: Multivariate imputation by chained equations in r

Reference 35

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Source-reported events for the cited work

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Observation d761b2c7-46a9-4259-83c9-2cf7608ab150 · outbound

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Missing Data Imputation using Neural Cellular Automata Attention is all you need

Reference 36

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Observation c0782abd-e66a-43d5-9c90-7df1a8186e3a · outbound

This paper cites The effects of data imputation on covariance and inverse covariance matrix estimation.

Missing Data Imputation using Neural Cellular Automata The effects of data imputation on covariance and inverse covariance matrix estimation

Reference 37

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raw_fallback, observed 2026-08-05T13:27:27.686342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T13:27:27.568508Z digest=sha256:65d416135292b9d3610ef35817db9b0fb4c3598aa16a02957fc4c8dcacbbfe11

Observation dba0bdef-fb8a-44b5-95de-f566cf3527f8 · outbound

This paper cites The general and logical theory of automata, cerebral mechanisms in behavior.

Missing Data Imputation using Neural Cellular Automata The general and logical theory of automata, cerebral mechanisms in behavior

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:27.677535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T13:27:27.570839Z digest=sha256:5509f39cd4d11fe1f2b8dfa99d0b2eded716412fc94a0148f8b9b7b9420445b3

Observation e914a98a-061d-4b3e-a8c0-2bdd1247a8a9 · outbound

This paper cites A new kind of science.

Missing Data Imputation using Neural Cellular Automata A new kind of science

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:27.668804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T13:27:27.573235Z digest=sha256:f4df8a32c3103aba74ea64e1f27625907c6508138c67b0d05955ad4663f83a82

Observation 530565df-5be7-4157-a74d-e0b27b59da11 · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets, in: International conference on machine learning, PMLR.

Missing Data Imputation using Neural Cellular Automata Gain: Missing data imputation using generative adversarial nets, in: International conference on machine learning, PMLR

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:27.660657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T13:27:27.576034Z digest=sha256:65acf712bad92ef0f869c971c4556d8560d6896b168f64febb5ca0de8670d4c6

Observation e8ed1317-0986-4b7a-b355-f087b1b42bc5 · outbound

This paper cites an unresolved cited work.

Missing Data Imputation using Neural Cellular Automata Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:27:27.791347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T13:27:27.532606Z digest=sha256:be2b690d04ad5c0481694bddf411196dc45fbd4343bfb6bcc56d1001a432e552

Pith citing papers

No inbound Pith citation observations are available.