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Paper Citation Record · LEDGER

Neural cellular automata: applications to biology and beyond classical AI

As of 21 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2509.11131.

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

pith.paper-citation-record.v1
2509.11131 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:07:30.506246Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:37:48.135125Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b28c87df-7f67-4fea-b628-248bfce33e45 · outbound

This paper cites A Unified Substrate for Body-Brain Co-evolution.

Neural cellular automata: applications to biology and beyond classical AI A Unified Substrate for Body-Brain Co-evolution

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:30.158221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:30.158221Z digest=sha256:38caac090230a49567b57e68669bf0e3c8f7ad1fe61bc913e743e4e5dba0d3f4

Observation da417fc4-cf52-468a-95b3-0f76016e0455 · outbound

This paper cites Variational Neural Cellular Automata.

Neural cellular automata: applications to biology and beyond classical AI Variational Neural Cellular Automata

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:30.207521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:30.207521Z digest=sha256:6ddf0c16135c2b3d1c3cce487e2f092a0dad6ea6923323cee88e58ace347e683

Observation 1a2dd36b-77d6-4e10-8765-411e220b735f · outbound

This paper cites $\mu$NCA: Texture Generation with Ultra-Compact Neural Cellular Automata.

Neural cellular automata: applications to biology and beyond classical AI $\mu$NCA: Texture Generation with Ultra-Compact Neural Cellular Automata

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:30.284129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:30.284129Z digest=sha256:f6c60388e6b125bbeec85a03c07f0ccaba15e4923f4f2e0682eb78c78c774f35

Observation f92a5dea-bc45-48d0-a800-c70fb2f11944 · outbound

This paper cites Scaling Laws for Neural Language Models.

Neural cellular automata: applications to biology and beyond classical AI Scaling Laws for Neural Language Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:30.342089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:30.342089Z digest=sha256:d7c17f89deb469cdd8488473a650a177ed6aa4a6ff0896d72e404e16a57f5b18

Observation d542d470-c3a1-4c04-aa8f-b13ad3b9abb2 · outbound

This paper cites Goldstein, and M.

Neural cellular automata: applications to biology and beyond classical AI Goldstein, and M

Reference 109

Resolution
verified exact
doi, observed 2026-08-04T17:08:28.425979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-04T17:07:30.452198Z digest=sha256:f42fcefc55524effa5a256c4a8ed11adb643e1715ed115fa700abb171762fb3c

Observation 9c5be40a-ae05-4738-ae3a-f62cc034d150 · outbound

This paper cites TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning.

Neural cellular automata: applications to biology and beyond classical AI TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-04T17:07:30.506246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:07:30.506246Z digest=sha256:068a0681b5bf9889358fafc8a3a2f6d2a76891730e76f8a4098b4c1d446d19a3

Pith citing papers

Observation 6811e75d-9a1a-42e6-90e5-17cc60977fc8 · inbound

Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton cites this paper.

Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton Neural cellular automata: applications to biology and beyond classical AI

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T09:37:48.135125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:37:48.135125Z digest=sha256:44ae3480348acbc2d79c9ae760e8274eabb95a4d16aac43c55a016b44d829cf2