{"as_of":"2026-08-07T09:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1d5b8c64169b73d0007ffcdc1c7d7b93b9bb11211a098cec74b03d6bc29c5359","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T07:30:31.260550Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T08:43:20.724387Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.22899","snapshot_observed_at":"2026-08-03T08:43:20.724387Z","title":"Ehsan Pajouheshgar, Yitao Xu, Alexander Mordvintsev, Eyvind Niklasson, Tong Zhang, and Sabine Süsstrunk","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.16096","last_updated":"2026-06-24T05:09:55Z","snapshot_observed_at":"2026-08-07T03:34:28.999555Z","submitted_at":"2026-01-22T16:46:28Z","title":"Neural Particle Automata: Learning Self-Organizing Particle Dynamics","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T08:43:20.724387Z"},"links":{"cited_paper":"/paper/2506.22899","citing_paper":"/paper/2601.16096"},"observation_digest":"sha256:0805d148bf055f8f0971571a2ad0dcdd8eb3856701677c77be8ccd53aad70688","observation_id":"72a5ad80-0969-47ff-b08d-39ba012844e8","resolution":{"observed_at":"2026-08-03T08:43:20.724387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.22899","snapshot_observed_at":"2026-08-02T02:03:57.031926Z","title":"Pajouheshgar, Y","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14475","last_updated":"2026-07-16T01:43:03Z","snapshot_observed_at":"2026-08-06T11:40:32.710847Z","submitted_at":"2026-07-16T01:43:03Z","title":"One-Shot Generative Design for Disordered Metamaterials via Self-Organizing Neural Cellular Automata","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-02T02:03:57.031926Z"},"links":{"cited_paper":"/paper/2506.22899","citing_paper":"/paper/2607.14475"},"observation_digest":"sha256:b21f3cd84842183e471e7d6c35ad987bbb8421d0505094933aab52c32ef7d288","observation_id":"fe524f4a-c6a0-424e-86aa-5521183fa4d4","resolution":{"observed_at":"2026-08-02T02:03:57.031926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.22899/citation-record","integrity":"/paper/2506.22899/integrity","json":"/paper/2506.22899/citation-record.json","paper":"/paper/2506.22899"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.11831","last_updated":"2026-01-15T23:30:35Z","snapshot_observed_at":"2026-07-06T21:25:27.942187Z","submitted_at":"2025-05-17T04:34:48Z","title":"ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems","version":2},"cited_work":{"arxiv_id":"2505.11831","doi":"10.1145/3474666","metadata_source":"pith","pith_arxiv_id":"2505.11831","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems","venue":"cs.AI","work_id":"2957f2ae-a92d-479e-a1ff-b0b522445d0b","year":2025},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2505.11831","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:bff21b56dca8f7d363a4541450ad7e00876f6293b269f3ddd3cb59ce5ad15615","observation_id":"23badddd-f307-4743-9ab8-91c5f4c34440","resolution":{"observed_at":"2026-05-19T07:32:09.046617Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cellular texture generation","venue":null,"work_id":"b151e41c-7f25-4c87-b9a5-d937b976cbe5","year":1995},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:88769c0726201bcc0d8157a02df4de6ec46bbdf39d1e13e90aa73ff173cb2c47","observation_id":"f1aebc96-7d53-417c-8d14-52540f12a949","resolution":{"observed_at":"2026-05-19T07:32:09.786642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cellular automata as convolutional neural net- works","venue":null,"work_id":"db37ce66-d7b8-4f57-a939-32267098fe6c","year":2019},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:ffcbc78f81c68bc7fa726b79fa061f2bd2253ea9a5a1d91f09ea92dbd9824de0","observation_id":"af1930c2-c9fa-4e94-a6d7-324e683f2b53","resolution":{"observed_at":"2026-05-19T07:32:09.788807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3d surface cellular au- tomata and their applications","venue":null,"work_id":"242963aa-5d22-4657-8ea5-631d630887aa","year":1999},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:7cf434ae887906fc8b8951a553367b651ea36cb166aedf84a9da9a822f333901","observation_id":"3220c4d1-5bce-4609-bb01-8f28acc68bf8","resolution":{"observed_at":"2026-05-19T07:32:09.790712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08778","last_updated":"2025-05-13T17:55:43Z","snapshot_observed_at":"2026-08-06T01:41:50.720511Z","submitted_at":"2025-05-13T17:55:43Z","title":"ARC-NCA: Towards Developmental Solutions to the Abstraction and Reasoning Corpus","version":1},"cited_work":{"arxiv_id":"2505.08778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08778","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Arc-nca: Towards developmen- tal solutions to the abstraction and reasoning corpus","venue":null,"work_id":"729133e9-855b-4e76-bf39-071d3a7f4537","year":2025},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2505.08778","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:6525667306b1723b7fb233fce50a9440e8c73450e143f2e18a066a78025836b2","observation_id":"02ac84f8-544c-4578-857c-c9ee1c71153a","resolution":{"observed_at":"2026-05-19T07:32:09.055573Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Med-NCA: Robust and lightweight segmentation with neu- ral cellular automata","venue":null,"work_id":"e13672b8-1b73-4a02-8765-42c6b23fdfd7","year":2023},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:4e187d013696ebf37ef2ec0b2d5c8b16a50a1000a79f3362e6dc990232bab035","observation_id":"879f5890-8ab3-43ed-a713-24cc76b8d99f","resolution":{"observed_at":"2026-05-19T07:32:09.784191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06291","last_updated":"2024-05-13T12:56:40Z","snapshot_observed_at":"2026-07-06T17:14:32.455890Z","submitted_at":"2024-01-11T23:15:25Z","title":"Frequency-Time Diffusion with Neural Cellular Automata","version":2},"cited_work":{"arxiv_id":"2401.06291","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06291","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Frequency-time diffusion with neural cel- lular automata","venue":null,"work_id":"1d1a1d0a-8df8-4f64-ae4d-1f0d14e6afaa","year":2024},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2401.06291","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:5dbbd6af8ffc375d8cab5df71a8d3479ac8fecacd3917e773103b7797ace4e4d","observation_id":"26ba77c2-4c82-416f-98ba-05a858fc50c4","resolution":{"observed_at":"2026-05-19T07:32:09.052672Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3730874","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The mokume dataset and inverse modeling of solid wood textures","venue":"ACM Transactions on Graphics","work_id":"bc0aca81-8fe6-4f75-93bf-226de2e64ec5","year":2025},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:da183f3c13b7d88d3e38d6dff06f0e88360d0b235bef6d62842d3feba4755e77","observation_id":"8ca504d1-bb4b-4427-8ac7-a69b1eee8ec3","resolution":{"observed_at":"2026-05-19T07:32:08.597270Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":"5f57beb7-7826-4735-abdc-78d81af54157","year":2020},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:be6263c1e858448cca9a6e01402b8536083ae5265c3a48342d785e7d9eabdcea","observation_id":"15baa7c8-e259-4819-8ae5-2f344e47ca53","resolution":{"observed_at":"2026-05-19T07:32:09.782300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.23915/distill.00023","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Growing Neural Cellular Automata , volume =","venue":"Distill","work_id":"8c87ea7f-a325-4929-b060-512e0a065b31","year":2020},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:db1b4623f535a8a339390e55d21030dffac4a308a3e302176d9ae3e2517fd4d1","observation_id":"3900bf0c-4ff7-412f-af7b-e54f313e84d5","resolution":{"observed_at":"2026-05-19T07:32:08.601928Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-15T20:20:31.086868+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-15T20:20:31.086868+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Instant neural graphics primitives with a multiresolu- tion hash encoding","venue":null,"work_id":"044db768-e119-4348-8a7d-aa245bbecad8","year":2022},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:36b505fa152937ffab65ff8b9e3dd70c18531e4f894654aea9164589dd0b5219","observation_id":"c8d32fbb-f107-442d-b2f6-bec556db7705","resolution":{"observed_at":"2026-05-19T07:32:09.780371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Theory of self-reproducing automata","venue":null,"work_id":"f55712e4-9cf3-4245-91cf-71d2697926fd","year":1966},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:a886533c24888fed95af147186916c2de2ba6d64990bae1726b5066feda906fb","observation_id":"983e0b10-44e7-4781-80cf-973338e92c72","resolution":{"observed_at":"2026-05-19T07:32:09.776277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self-organising textures","venue":null,"work_id":"f8dfb224-f8de-4e3f-9d33-596ca2d65cb6","year":2021},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:9fa9a2b4a3348777a6ad2a8d2836199ab171c67b2f673372753187c9a3133110","observation_id":"8dfee8b5-cb0f-44f6-9a54-00c1fa84178c","resolution":{"observed_at":"2026-05-19T07:32:09.778295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.04328","last_updated":"2021-07-19T06:23:11Z","snapshot_observed_at":"2026-07-06T11:36:54.652558Z","submitted_at":"2021-07-19T06:23:11Z","title":"Generative Adversarial Neural Cellular Automata","version":1},"cited_work":{"arxiv_id":"2108.04328","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.04328","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generative adversarial neural cellular au- tomata","venue":null,"work_id":"9f0123ce-ed02-4bef-a776-a9f036256190","year":2021},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2108.04328","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:e61a57088572f9955ba0dc3b3202fad01a1252cdaefd90b149f64b11d2e449cf","observation_id":"0187e72e-4312-4079-ace4-8e37e761de27","resolution":{"observed_at":"2026-05-19T07:32:09.035770Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dynca: Real-time dynamic texture synthesis using neural cellular automata","venue":null,"work_id":"dd736499-d8c9-4f20-88a9-f3ff1f96755b","year":2023},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:5d26039a0bf9af6aecc037bfc000b4f48147a7bd31e422f31da272e6d4de12a8","observation_id":"1d58d128-2471-4cca-8360-9c39e448eb6b","resolution":{"observed_at":"2026-05-19T07:32:09.774014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3658127","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mesh neural cellular automata","venue":"ACM Transactions on Graphics","work_id":"e0ad1766-de4d-4207-9056-581bcc0b2b56","year":2024},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:ccb44b9eb2d81822aa5201950045f800b3f7142a7a3561949d8efd9fc2837985","observation_id":"0d1eecf9-be19-45f8-9366-6f9d86ecc3d1","resolution":{"observed_at":"2026-05-19T07:32:08.599464Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12360","last_updated":"2022-02-02T06:59:12Z","snapshot_observed_at":"2026-08-04T03:34:33.766380Z","submitted_at":"2022-01-28T11:41:53Z","title":"Variational Neural Cellular Automata","version":2},"cited_work":{"arxiv_id":"2201.12360","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.12360","snapshot_observed_at":"2026-07-10T19:57:33.997377Z","title":"Variational neural cellular au- tomata","venue":"cs.NE","work_id":"cfc09e75-52eb-42a6-bbd7-c30d13ea9558","year":2022},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2201.12360","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:026190ea67a42ad12e90f7fc37490b763e7af2cd830397d0297f402d0e7fc5b5","observation_id":"4bff5f38-132c-4c7d-9560-88783cf3e0b8","resolution":{"observed_at":"2026-05-19T07:32:09.032942Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deepsdf: Learning contin- uous signed distance functions for shape representation","venue":null,"work_id":"36d9187c-447f-4f9e-8536-2470779bac20","year":2019},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:8dc6e488d90f8da27e7ea932646796e42b6682530c9176c8a9d34481a4da2ef3","observation_id":"d42eafc1-8119-487f-821a-3178a02fab63","resolution":{"observed_at":"2026-05-19T07:32:09.769949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.23915/distill.00027.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-classifying mnist digits","venue":"Distill","work_id":"e1c33b7f-e146-4a29-a41f-5505a8dee2ab","year":2020},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:b86488dba6553939c59d61a2932432028512d98ed62315904072babf5d1510d5","observation_id":"92c9c968-4d69-4742-b50c-84b9efe22b75","resolution":{"observed_at":"2026-05-19T07:32:08.590267Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.04965","last_updated":"2020-08-13T00:37:47Z","snapshot_observed_at":"2026-08-04T10:51:37.781952Z","submitted_at":"2020-08-11T19:04:09Z","title":"Image segmentation via Cellular Automata","version":2},"cited_work":{"arxiv_id":"2008.04965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.04965","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Image segmenta- tion via cellular automata","venue":null,"work_id":"e8ce5fff-fe8a-4476-9046-372be711219f","year":2008},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2008.04965","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:b80e5b1fa6b55f814eb8f800548a5ffd5ed73a2716575c1eccb41d16e87b30e0","observation_id":"cdefba4e-c49a-4468-ab96-66827336ce8d","resolution":{"observed_at":"2026-05-19T07:32:09.030221Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Martel, Alexander W","venue":null,"work_id":"5e807a1d-ffaf-452a-9211-2ebefcb597d3","year":2020},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:49abd2ea44ffc4ef05d9a5a9d2fb6893a8ddbfc6640968276c9e6a6e279907b9","observation_id":"14582365-1f07-4ca0-bf48-b691fe258b72","resolution":{"observed_at":"2026-05-19T07:32:09.771874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10710-007-9028-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"urldate =","venue":"Genetic Programming and Evolvable Machines","work_id":"76c549bb-d8ce-43ad-9127-40fdadb1f891","year":2007},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:42c978aa3a6eb1cf828aa60adb0928da48ecc83419e3ed4e03958eec30c58c90","observation_id":"417eff25-61af-42dc-a837-f025fa2082a5","resolution":{"observed_at":"2026-05-19T07:32:08.592472Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T18:54:03.20162+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T18:54:03.20162+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.08737","last_updated":"2021-06-04T15:13:07Z","snapshot_observed_at":"2026-07-06T10:50:15.126617Z","submitted_at":"2021-03-15T21:51:04Z","title":"Growing 3D Artefacts and Functional Machines with Neural Cellular Automata","version":2},"cited_work":{"arxiv_id":"2103.08737","doi":"10.48550/arxiv.2103.08737","metadata_source":"arxiv_reference","pith_arxiv_id":"2103.08737","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Growing 3d artefacts and functional machines with neural cellular au- tomata","venue":"arXiv (Cornell University)","work_id":"a657c644-41a3-4c94-a3e2-10724450be2d","year":2021},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2103.08737","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:6b1599ae76c8d565b4fdad740d9521123275afac1d2184f00c89ad19c88ecd4f","observation_id":"344ef218-d50f-451f-91db-a052757b7dd6","resolution":{"observed_at":"2026-05-19T07:32:09.049884Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.06806","last_updated":"2022-04-25T23:11:51Z","snapshot_observed_at":"2026-07-06T13:09:47.622920Z","submitted_at":"2022-04-25T23:11:51Z","title":"Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems","version":1},"cited_work":{"arxiv_id":"2205.06806","doi":"10.48550/arxiv.2205.06806","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.06806","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems , url =","venue":"arXiv (Cornell University)","work_id":"31c299cd-6bb8-4ce7-ad5e-78f7d6d8fe68","year":2022},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2205.06806","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:567e7cb109d5f390bb849d6f79ad6ed757743981cd50bb052c10d343388c8107","observation_id":"05b183be-4271-4652-a81f-54b58b372382","resolution":{"observed_at":"2026-05-19T07:32:09.041131Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T18:53:53.067379+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T18:53:53.067379+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01233","last_updated":"2022-11-02T16:14:41Z","snapshot_observed_at":"2026-08-05T15:37:43.410155Z","submitted_at":"2022-11-02T16:14:41Z","title":"Attention-based Neural Cellular Automata","version":1},"cited_work":{"arxiv_id":"2211.01233","doi":"10.48550/arxiv.2211.01233","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.01233","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Attention-based neural cellular automata","venue":"PolyPublie (École Polytechnique de Montréal)","work_id":"2edfca43-92d8-4139-8992-794823da738d","year":2022},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2211.01233","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:ddc4f01cb141790f6e3f14fa25c538b1aa903071b7adf13b77d67faea46532fb","observation_id":"b2adbfd6-09a9-4be1-9cad-ce28a670a302","resolution":{"observed_at":"2026-05-19T07:32:09.043971Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The chemical basis of morphogenesis","venue":null,"work_id":"4bc7c8c5-9cd1-4980-8a89-3d6497856d86","year":1952},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:50c567a1b707c3eca563d139a252e8135bceb36a9c0353de21815648c191f13a","observation_id":"e2a2a14a-c84e-468c-8569-14ba5b424f7b","resolution":{"observed_at":"2026-05-19T07:32:09.798335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generating textures on arbitrary surfaces using reaction-diffusion","venue":null,"work_id":"7f91af7c-3c34-40dd-891f-eb08fa8407ac","year":1991},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:798a5e6c7f7d65a564896bfe49ac711f6ea68c2f46f496918045a60b485c349c","observation_id":"cc8a803e-c4b2-4d69-a143-404622bda631","resolution":{"observed_at":"2026-05-19T07:32:09.792799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09631","last_updated":"2025-02-05T15:32:46Z","snapshot_observed_at":"2026-08-03T19:01:40.777919Z","submitted_at":"2025-02-05T15:32:46Z","title":"Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata","version":1},"cited_work":{"arxiv_id":"2502.09631","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.09631","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"V olumetric temporal texture synthesis for smoke stylization using neural cellular automata","venue":null,"work_id":"3b7f9283-d8fd-43b5-a269-5c7cde05f011","year":2025},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"cited_paper":"/paper/2502.09631","citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:a747c3b8662d772e3ec21f622fb4782946c985d8bbaa1c0c3df7917689a5a955","observation_id":"8972aaea-87eb-4e31-a854-cfb8163c52c9","resolution":{"observed_at":"2026-05-19T07:32:09.038492Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Emer- gent dynamics in neural cellular automata","venue":null,"work_id":"df07d060-767e-4b48-83d3-9e5c7951c5dd","year":2024},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:d620f72001b2e78af179522f431ae67e2c5c1b3a3f6376e6f80c7d309f7a2035","observation_id":"1f407492-3633-4edc-b01b-c8df49b91aa0","resolution":{"observed_at":"2026-05-19T07:32:09.794617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/isal","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T22:51:22.283001Z","title":"Computation in artiﬁcial spin ice","venue":null,"work_id":"eb402bcd-6fc7-44ba-ad16-8a651cce9082","year":2021},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:5d48ab6ed881520cb2d525d147a5e350aab37394cbbda08f9791be1908d8f4c1","observation_id":"80855507-b053-4478-a608-cf6ba496f2f7","resolution":{"observed_at":"2026-05-19T07:32:08.594712Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adanca: Neural cellular automata as adaptors for more robust vision trans- former","venue":null,"work_id":"b89af574-f98f-4d0f-9df2-a5973a3388e5","year":2024},"citing_paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-19T07:30:31.260550Z"},"links":{"citing_paper":"/paper/2506.22899"},"observation_digest":"sha256:3e4c42ff03eac7fae4f20ef7e60c13e894ad37e5bd33346dca1403b242e70863","observation_id":"a1e72e30-def7-4229-a0d1-cf0d3df8e50a","resolution":{"observed_at":"2026-05-19T07:32:09.796541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.22899","last_updated":"2026-05-01T23:39:16Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T01:18:14.432573Z","submitted_at":"2025-06-28T14:30:21Z","title":"Neural Cellular Automata: From Cells to Pixels"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":15,"verified_fuzzy":15},"total_outbound_references":31},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2506.22899."}