{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AELLUHAJ3K3DT7SPURTGKAV5DF","short_pith_number":"pith:AELLUHAJ","canonical_record":{"source":{"id":"2409.12182","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-03T11:43:16Z","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"title_canon_sha256":"5ae2ff272fd614dcbfbfab8608338f14ee396ab03e399d89954490c5a5115355","abstract_canon_sha256":"778b4f6f0d9286264e35ba40bc91042e935b07d2648245b3656efc1dae13d5ef"},"schema_version":"1.0"},"canonical_sha256":"0116ba1c09dab639fe4fa4666502bd1953d114299c3a024af084289cf2f96ef7","source":{"kind":"arxiv","id":"2409.12182","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12182","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12182v2","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12182","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_12","alias_value":"AELLUHAJ3K3D","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_16","alias_value":"AELLUHAJ3K3DT7SP","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_8","alias_value":"AELLUHAJ","created_at":"2026-07-05T09:21:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AELLUHAJ3K3DT7SPURTGKAV5DF","target":"record","payload":{"canonical_record":{"source":{"id":"2409.12182","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-03T11:43:16Z","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"title_canon_sha256":"5ae2ff272fd614dcbfbfab8608338f14ee396ab03e399d89954490c5a5115355","abstract_canon_sha256":"778b4f6f0d9286264e35ba40bc91042e935b07d2648245b3656efc1dae13d5ef"},"schema_version":"1.0"},"canonical_sha256":"0116ba1c09dab639fe4fa4666502bd1953d114299c3a024af084289cf2f96ef7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:48.732396Z","signature_b64":"k/PbKZ3DrHExlSVgu4uymRR66XC/vsi+duC6FZtKUeWyF96p0FWFQ7JCxphQx36hlLSk2h4ZqwJeIoC6xi4WDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0116ba1c09dab639fe4fa4666502bd1953d114299c3a024af084289cf2f96ef7","last_reissued_at":"2026-07-05T09:21:48.731914Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:48.731914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.12182","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:21:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R9lhDmU9G60WVSdEKvCQBYIcBdkGXSY+B/ma+/Oq9c9vmcopYLUNYe3eBw+/7R4h7+kuvtruWPSjg8Z3qo7QAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:23:01.041979Z"},"content_sha256":"e77edb6cab8e31a9c31265b6e14329f06d3b8be47a728732808239435bdbbf64","schema_version":"1.0","event_id":"sha256:e77edb6cab8e31a9c31265b6e14329f06d3b8be47a728732808239435bdbbf64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AELLUHAJ3K3DT7SPURTGKAV5DF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"primary_cat":"cs.AI","authors_text":"Jaime A. Berkovich, Markus J. Buehler","submitted_at":"2024-09-03T11:43:16Z","abstract_excerpt":"Conway's Game of Life (Life), a well known algorithm within the broader class of cellular automata (CA), exhibits complex emergent dynamics, with extreme sensitivity to initial conditions. Modeling and predicting such intricate behavior without explicit knowledge of the system's underlying topology presents a significant challenge, motivating the development of algorithms that can generalize across various grid configurations and boundary conditions. We develop a decoder-only generative pretrained transformer (GPT) model to solve this problem, showing that our model can simulate Life on a toro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12182","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.12182/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:21:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QHZErhVPeBdC511545RvcGJWb3LrAIvd3jcl+bwcHXIlfTFUe7Qhx6Rnxfo34PZsoPDhBunOabCb0lYZyfeqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:23:01.042511Z"},"content_sha256":"5a77996662765c2e081cd7f46494f1e6fd95fc0f14a14339e8d9521eb1006edc","schema_version":"1.0","event_id":"sha256:5a77996662765c2e081cd7f46494f1e6fd95fc0f14a14339e8d9521eb1006edc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/bundle.json","state_url":"https://pith.science/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T12:23:01Z","links":{"resolver":"https://pith.science/pith/AELLUHAJ3K3DT7SPURTGKAV5DF","bundle":"https://pith.science/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/bundle.json","state":"https://pith.science/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AELLUHAJ3K3DT7SPURTGKAV5DF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AELLUHAJ3K3DT7SPURTGKAV5DF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"778b4f6f0d9286264e35ba40bc91042e935b07d2648245b3656efc1dae13d5ef","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-03T11:43:16Z","title_canon_sha256":"5ae2ff272fd614dcbfbfab8608338f14ee396ab03e399d89954490c5a5115355"},"schema_version":"1.0","source":{"id":"2409.12182","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12182","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12182v2","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12182","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_12","alias_value":"AELLUHAJ3K3D","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_16","alias_value":"AELLUHAJ3K3DT7SP","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_8","alias_value":"AELLUHAJ","created_at":"2026-07-05T09:21:48Z"}],"graph_snapshots":[{"event_id":"sha256:5a77996662765c2e081cd7f46494f1e6fd95fc0f14a14339e8d9521eb1006edc","target":"graph","created_at":"2026-07-05T09:21:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2409.12182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conway's Game of Life (Life), a well known algorithm within the broader class of cellular automata (CA), exhibits complex emergent dynamics, with extreme sensitivity to initial conditions. Modeling and predicting such intricate behavior without explicit knowledge of the system's underlying topology presents a significant challenge, motivating the development of algorithms that can generalize across various grid configurations and boundary conditions. We develop a decoder-only generative pretrained transformer (GPT) model to solve this problem, showing that our model can simulate Life on a toro","authors_text":"Jaime A. Berkovich, Markus J. Buehler","cross_cats":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-03T11:43:16Z","title":"LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12182","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e77edb6cab8e31a9c31265b6e14329f06d3b8be47a728732808239435bdbbf64","target":"record","created_at":"2026-07-05T09:21:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"778b4f6f0d9286264e35ba40bc91042e935b07d2648245b3656efc1dae13d5ef","cross_cats_sorted":["cond-mat.mtrl-sci","cond-mat.stat-mech","math.DS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-03T11:43:16Z","title_canon_sha256":"5ae2ff272fd614dcbfbfab8608338f14ee396ab03e399d89954490c5a5115355"},"schema_version":"1.0","source":{"id":"2409.12182","kind":"arxiv","version":2}},"canonical_sha256":"0116ba1c09dab639fe4fa4666502bd1953d114299c3a024af084289cf2f96ef7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0116ba1c09dab639fe4fa4666502bd1953d114299c3a024af084289cf2f96ef7","first_computed_at":"2026-07-05T09:21:48.731914Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:48.731914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k/PbKZ3DrHExlSVgu4uymRR66XC/vsi+duC6FZtKUeWyF96p0FWFQ7JCxphQx36hlLSk2h4ZqwJeIoC6xi4WDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:48.732396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12182","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e77edb6cab8e31a9c31265b6e14329f06d3b8be47a728732808239435bdbbf64","sha256:5a77996662765c2e081cd7f46494f1e6fd95fc0f14a14339e8d9521eb1006edc"],"state_sha256":"edbe607204885f7a22d8cfea55640b55af50b4b77086e6f151d7b18873fce836"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T3OKxYR/iLFHdMsenRa2e6/Rhaz5Ob3m2Ng3fBqIP1jkQ54WSY94TyPyEi0l8Jum2MF2uYqCp5exeIycnXlkAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:23:01.047641Z","bundle_sha256":"0d36430a93286d3cb26f80c10aac8b6fb049df37bf42504e69ac477d69b22b9f"}}