{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:AIYCNULPS7EEWCFG35OXYQAW6P","short_pith_number":"pith:AIYCNULP","canonical_record":{"source":{"id":"1707.01546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-07-05T19:19:55Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"43183891337d79f09b9f037b0ce8f7288a6a7234ffa01ed6df18d19b79f96b67","abstract_canon_sha256":"1c39023fe6c4a1165cf3b965be3dfca8cbe213d0ec5fd4eb5e74d1f504c48fd9"},"schema_version":"1.0"},"canonical_sha256":"023026d16f97c84b08a6df5d7c4016f3d59a93527466e0a5f1704c0b4faf16ae","source":{"kind":"arxiv","id":"1707.01546","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01546","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01546v1","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01546","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"pith_short_12","alias_value":"AIYCNULPS7EE","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AIYCNULPS7EEWCFG","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AIYCNULP","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:AIYCNULPS7EEWCFG35OXYQAW6P","target":"record","payload":{"canonical_record":{"source":{"id":"1707.01546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-07-05T19:19:55Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"43183891337d79f09b9f037b0ce8f7288a6a7234ffa01ed6df18d19b79f96b67","abstract_canon_sha256":"1c39023fe6c4a1165cf3b965be3dfca8cbe213d0ec5fd4eb5e74d1f504c48fd9"},"schema_version":"1.0"},"canonical_sha256":"023026d16f97c84b08a6df5d7c4016f3d59a93527466e0a5f1704c0b4faf16ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:48.217475Z","signature_b64":"+2VdQxaNX982UuvQlmIpsI4XOHX3LBgzQiyiefK0KZFVl5wAAcHtLh0/aXyYd/EtX+8BeAw4rkYKIdweu6R8AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"023026d16f97c84b08a6df5d7c4016f3d59a93527466e0a5f1704c0b4faf16ae","last_reissued_at":"2026-05-18T00:40:48.216821Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:48.216821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.01546","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:40:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U6EOpHEvCNvNiEUfdCZWZzmzNj9xB2YcsxKvZiNbiJmN5Ozkk8k8ayN4STkFLMLu504gaCS4R18skHv0IsNzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T12:10:54.045012Z"},"content_sha256":"255a61337ab27cd2d85a188ab10ae32957f7681ea39914ceaaf6b74d08ee207e","schema_version":"1.0","event_id":"sha256:255a61337ab27cd2d85a188ab10ae32957f7681ea39914ceaaf6b74d08ee207e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:AIYCNULPS7EEWCFG35OXYQAW6P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Agent based simulation of the evolution of society as an alternate maximization problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.MA","authors_text":"Amartya Sanyal, Asim Unmesh, Sanjana Garg","submitted_at":"2017-07-05T19:19:55Z","abstract_excerpt":"Understanding the evolution of human society, as a complex adaptive system, is a task that has been looked upon from various angles. In this paper, we simulate an agent-based model with a high enough population tractably. To do this, we characterize an entity called \\textit{society}, which helps us reduce the complexity of each step from $\\mathcal{O}(n^2)$ to $\\mathcal{O}(n)$. We propose a very realistic setting, where we design a joint alternate maximization step algorithm to maximize a certain \\textit{fitness} function, which we believe simulates the way societies develop. Our key contributi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01546","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:40:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ilq37hsqtL+Vhde3Xct/WtJRGe59QnJHdC//yG6CZe8ZVl+ht5VepzFIcQMU1CfikzuDmHDTHTZpNg2lv70YCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T12:10:54.045370Z"},"content_sha256":"8fdb6f1c8d492e3b7aafffcd6475f7104589e8bcd106663c53fb45d7751d6a3c","schema_version":"1.0","event_id":"sha256:8fdb6f1c8d492e3b7aafffcd6475f7104589e8bcd106663c53fb45d7751d6a3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AIYCNULPS7EEWCFG35OXYQAW6P/bundle.json","state_url":"https://pith.science/pith/AIYCNULPS7EEWCFG35OXYQAW6P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AIYCNULPS7EEWCFG35OXYQAW6P/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":"2026-06-22T12:10:54Z","links":{"resolver":"https://pith.science/pith/AIYCNULPS7EEWCFG35OXYQAW6P","bundle":"https://pith.science/pith/AIYCNULPS7EEWCFG35OXYQAW6P/bundle.json","state":"https://pith.science/pith/AIYCNULPS7EEWCFG35OXYQAW6P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AIYCNULPS7EEWCFG35OXYQAW6P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:AIYCNULPS7EEWCFG35OXYQAW6P","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":"1c39023fe6c4a1165cf3b965be3dfca8cbe213d0ec5fd4eb5e74d1f504c48fd9","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-07-05T19:19:55Z","title_canon_sha256":"43183891337d79f09b9f037b0ce8f7288a6a7234ffa01ed6df18d19b79f96b67"},"schema_version":"1.0","source":{"id":"1707.01546","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01546","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01546v1","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01546","created_at":"2026-05-18T00:40:48Z"},{"alias_kind":"pith_short_12","alias_value":"AIYCNULPS7EE","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AIYCNULPS7EEWCFG","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AIYCNULP","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:8fdb6f1c8d492e3b7aafffcd6475f7104589e8bcd106663c53fb45d7751d6a3c","target":"graph","created_at":"2026-05-18T00:40:48Z","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"},"paper":{"abstract_excerpt":"Understanding the evolution of human society, as a complex adaptive system, is a task that has been looked upon from various angles. In this paper, we simulate an agent-based model with a high enough population tractably. To do this, we characterize an entity called \\textit{society}, which helps us reduce the complexity of each step from $\\mathcal{O}(n^2)$ to $\\mathcal{O}(n)$. We propose a very realistic setting, where we design a joint alternate maximization step algorithm to maximize a certain \\textit{fitness} function, which we believe simulates the way societies develop. Our key contributi","authors_text":"Amartya Sanyal, Asim Unmesh, Sanjana Garg","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-07-05T19:19:55Z","title":"Agent based simulation of the evolution of society as an alternate maximization problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01546","kind":"arxiv","version":1},"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":"sha256:255a61337ab27cd2d85a188ab10ae32957f7681ea39914ceaaf6b74d08ee207e","target":"record","created_at":"2026-05-18T00:40:48Z","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":"1c39023fe6c4a1165cf3b965be3dfca8cbe213d0ec5fd4eb5e74d1f504c48fd9","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-07-05T19:19:55Z","title_canon_sha256":"43183891337d79f09b9f037b0ce8f7288a6a7234ffa01ed6df18d19b79f96b67"},"schema_version":"1.0","source":{"id":"1707.01546","kind":"arxiv","version":1}},"canonical_sha256":"023026d16f97c84b08a6df5d7c4016f3d59a93527466e0a5f1704c0b4faf16ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"023026d16f97c84b08a6df5d7c4016f3d59a93527466e0a5f1704c0b4faf16ae","first_computed_at":"2026-05-18T00:40:48.216821Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:48.216821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+2VdQxaNX982UuvQlmIpsI4XOHX3LBgzQiyiefK0KZFVl5wAAcHtLh0/aXyYd/EtX+8BeAw4rkYKIdweu6R8AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:48.217475Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.01546","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:255a61337ab27cd2d85a188ab10ae32957f7681ea39914ceaaf6b74d08ee207e","sha256:8fdb6f1c8d492e3b7aafffcd6475f7104589e8bcd106663c53fb45d7751d6a3c"],"state_sha256":"effbbaa9ef5a36acc0accc77eb0ac9fb07e9b580aaa79715eb8cf3dc941153f2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UKc9tJuMXRXm+Iy6crZPVa00uM4GjHDQchVU84ZAbJUnZVUTiWV3aolZrcSqjoTxNqp1QcxF4GUfTcRxFY8bCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T12:10:54.047326Z","bundle_sha256":"ce5c393eb2a2c5e7c9bc503b325015ebda518ec4de137738106f41ac5eac0f22"}}