{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:YVEN7RET7OMZ4CITRCCVUYR5RG","short_pith_number":"pith:YVEN7RET","canonical_record":{"source":{"id":"1408.0058","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2014-08-01T01:29:08Z","cross_cats_sorted":["cs.LG","cs.MA"],"title_canon_sha256":"8b54bd84e70935594313abb2dadee6017285d37ca6f804b392d6d0ce769d6237","abstract_canon_sha256":"942d9d10f8693eceff898873f3f2faa768be2af31bd105bcba7f5a5db45299d1"},"schema_version":"1.0"},"canonical_sha256":"c548dfc493fb999e091388855a623d89bf342f5b097340956718c34f76dce58b","source":{"kind":"arxiv","id":"1408.0058","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.0058","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"arxiv_version","alias_value":"1408.0058v1","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.0058","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"pith_short_12","alias_value":"YVEN7RET7OMZ","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"YVEN7RET7OMZ4CIT","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"YVEN7RET","created_at":"2026-05-18T12:28:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:YVEN7RET7OMZ4CITRCCVUYR5RG","target":"record","payload":{"canonical_record":{"source":{"id":"1408.0058","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2014-08-01T01:29:08Z","cross_cats_sorted":["cs.LG","cs.MA"],"title_canon_sha256":"8b54bd84e70935594313abb2dadee6017285d37ca6f804b392d6d0ce769d6237","abstract_canon_sha256":"942d9d10f8693eceff898873f3f2faa768be2af31bd105bcba7f5a5db45299d1"},"schema_version":"1.0"},"canonical_sha256":"c548dfc493fb999e091388855a623d89bf342f5b097340956718c34f76dce58b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:46:03.957026Z","signature_b64":"Ol8sp/VkSHNeeq4iBYqficBfUOEn79m+45FKQA/KSLiOZ9HH9nEi6hi92wH34iyisAs/jQNo+iXkNhUtjHQpAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c548dfc493fb999e091388855a623d89bf342f5b097340956718c34f76dce58b","last_reissued_at":"2026-05-18T02:46:03.956597Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:46:03.956597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1408.0058","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":"2026-05-18T02:46:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l5ZJBIyMm016h+pKtX6iGVxGx3hGkc8ZBOCNkkJ5uICzXUeaUfglVdBbSo6TdZVm6H8veU6e/wJvpsZNyxoHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:57:52.144957Z"},"content_sha256":"c95fc9762ef9ed3a268c356fb74788a6351a2ee408701598d9e182208493a6c8","schema_version":"1.0","event_id":"sha256:c95fc9762ef9ed3a268c356fb74788a6351a2ee408701598d9e182208493a6c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:YVEN7RET7OMZ4CITRCCVUYR5RG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Framework for learning multi-agent dynamic formation strategy in real-time applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MA"],"primary_cat":"cs.RO","authors_text":"Mehrab Norouzitallab, Mohammad Bagher Menhaj, Saeed Shiry Ghidary, Valiallah Monajjemi","submitted_at":"2014-08-01T01:29:08Z","abstract_excerpt":"Formation strategy is one of the most important parts of many multi-agent systems with many applications in real world problems. In this paper, a framework for learning this task in a limited domain (restricted environment) is proposed. In this framework, agents learn either directly by observing an expert behavior or indirectly by observing other agents or objects behavior. First, a group of algorithms for learning formation strategy based on limited features will be presented. Due to distributed and complex nature of many multi-agent systems, it is impossible to include all features directly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.0058","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":"2026-05-18T02:46:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BMcDNmQzcbxcaHdGEMvz+YYi740nJV65Iob4Kgo3Quc3OGlU4ECQiDKEfSCDMjXIWvFCnd8m5B0VAeD838QdCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:57:52.145351Z"},"content_sha256":"9c31433c29b42d56466759e1bead49bf9cd33a09aee796767ed331a0f1707c5c","schema_version":"1.0","event_id":"sha256:9c31433c29b42d56466759e1bead49bf9cd33a09aee796767ed331a0f1707c5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/bundle.json","state_url":"https://pith.science/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/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":"2026-06-26T08:57:52Z","links":{"resolver":"https://pith.science/pith/YVEN7RET7OMZ4CITRCCVUYR5RG","bundle":"https://pith.science/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/bundle.json","state":"https://pith.science/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YVEN7RET7OMZ4CITRCCVUYR5RG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:YVEN7RET7OMZ4CITRCCVUYR5RG","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":"942d9d10f8693eceff898873f3f2faa768be2af31bd105bcba7f5a5db45299d1","cross_cats_sorted":["cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2014-08-01T01:29:08Z","title_canon_sha256":"8b54bd84e70935594313abb2dadee6017285d37ca6f804b392d6d0ce769d6237"},"schema_version":"1.0","source":{"id":"1408.0058","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.0058","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"arxiv_version","alias_value":"1408.0058v1","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.0058","created_at":"2026-05-18T02:46:03Z"},{"alias_kind":"pith_short_12","alias_value":"YVEN7RET7OMZ","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"YVEN7RET7OMZ4CIT","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"YVEN7RET","created_at":"2026-05-18T12:28:59Z"}],"graph_snapshots":[{"event_id":"sha256:9c31433c29b42d56466759e1bead49bf9cd33a09aee796767ed331a0f1707c5c","target":"graph","created_at":"2026-05-18T02:46:03Z","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":"Formation strategy is one of the most important parts of many multi-agent systems with many applications in real world problems. In this paper, a framework for learning this task in a limited domain (restricted environment) is proposed. In this framework, agents learn either directly by observing an expert behavior or indirectly by observing other agents or objects behavior. First, a group of algorithms for learning formation strategy based on limited features will be presented. Due to distributed and complex nature of many multi-agent systems, it is impossible to include all features directly","authors_text":"Mehrab Norouzitallab, Mohammad Bagher Menhaj, Saeed Shiry Ghidary, Valiallah Monajjemi","cross_cats":["cs.LG","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2014-08-01T01:29:08Z","title":"A Framework for learning multi-agent dynamic formation strategy in real-time applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.0058","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:c95fc9762ef9ed3a268c356fb74788a6351a2ee408701598d9e182208493a6c8","target":"record","created_at":"2026-05-18T02:46:03Z","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":"942d9d10f8693eceff898873f3f2faa768be2af31bd105bcba7f5a5db45299d1","cross_cats_sorted":["cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2014-08-01T01:29:08Z","title_canon_sha256":"8b54bd84e70935594313abb2dadee6017285d37ca6f804b392d6d0ce769d6237"},"schema_version":"1.0","source":{"id":"1408.0058","kind":"arxiv","version":1}},"canonical_sha256":"c548dfc493fb999e091388855a623d89bf342f5b097340956718c34f76dce58b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c548dfc493fb999e091388855a623d89bf342f5b097340956718c34f76dce58b","first_computed_at":"2026-05-18T02:46:03.956597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:46:03.956597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ol8sp/VkSHNeeq4iBYqficBfUOEn79m+45FKQA/KSLiOZ9HH9nEi6hi92wH34iyisAs/jQNo+iXkNhUtjHQpAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:46:03.957026Z","signed_message":"canonical_sha256_bytes"},"source_id":"1408.0058","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c95fc9762ef9ed3a268c356fb74788a6351a2ee408701598d9e182208493a6c8","sha256:9c31433c29b42d56466759e1bead49bf9cd33a09aee796767ed331a0f1707c5c"],"state_sha256":"d2663427a6821b12a89792083fb570bb9a2d83d38af50c41f21fec61629d65b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f5rvgQfC8zYCClLoOq2t78Wokd+8HC02sm/TQzpfLVQRfn0CRFWjQAndx9Ld3Ws0sVb3asSaO8K+QziMxA/JCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T08:57:52.147758Z","bundle_sha256":"cbc97c794483129a026bfaf8814af0f0ea171b288321635a10dec77fa14eea68"}}