{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JPB4LQLF6AU6H6YOQADRA4PQGC","short_pith_number":"pith:JPB4LQLF","schema_version":"1.0","canonical_sha256":"4bc3c5c165f029e3fb0e80071071f030aba1c23ebcba76cd878e04523a77afcc","source":{"kind":"arxiv","id":"2605.28816","version":1},"attestation_state":"computed","paper":{"title":"Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangfu Liu, Igor Gilitschenski, Jun Gao, Kai He, Sanja Fidler, Tianchang Shen, Tianshi Cao, Xuanchi Ren, Yueqi Duan, Zian Wang","submitted_at":"2026-05-27T17:59:31Z","abstract_excerpt":"World models for interactive video generation have largely focused on single-agent settings, where future observations are generated from a single control signal. However, many generated environments require multi-agent interaction: multiple players, robots, or embodied agents act simultaneously within a shared space. Scaling world models to such settings requires a principled multi-agent design: agents should remain independently controllable, permutation-symmetric, and support efficient inference while maintaining consistency across time and perspectives. In this paper, we present our genera"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.28816","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T17:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"2f81cc61d75b8ffe1b63dc502deaa9a622f2c78a9e68e7972974633aac35eae0","abstract_canon_sha256":"71146b3b09aa1cf7374d72b773059a3a9640d91f282bd0bace617dcc9ad049e3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:05:04.558901Z","signature_b64":"+99d+6hPAFXjGUGXfdS+lbo1LeQtKUpxLG95Aus9aQ+TDxL+H+IHINblwR02DygIG3V9iq0NMuUR0eqBjnGzAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bc3c5c165f029e3fb0e80071071f030aba1c23ebcba76cd878e04523a77afcc","last_reissued_at":"2026-05-28T02:05:04.558489Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:05:04.558489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangfu Liu, Igor Gilitschenski, Jun Gao, Kai He, Sanja Fidler, Tianchang Shen, Tianshi Cao, Xuanchi Ren, Yueqi Duan, Zian Wang","submitted_at":"2026-05-27T17:59:31Z","abstract_excerpt":"World models for interactive video generation have largely focused on single-agent settings, where future observations are generated from a single control signal. However, many generated environments require multi-agent interaction: multiple players, robots, or embodied agents act simultaneously within a shared space. Scaling world models to such settings requires a principled multi-agent design: agents should remain independently controllable, permutation-symmetric, and support efficient inference while maintaining consistency across time and perspectives. In this paper, we present our genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28816","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.28816/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.28816","created_at":"2026-05-28T02:05:04.558552+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28816v1","created_at":"2026-05-28T02:05:04.558552+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28816","created_at":"2026-05-28T02:05:04.558552+00:00"},{"alias_kind":"pith_short_12","alias_value":"JPB4LQLF6AU6","created_at":"2026-05-28T02:05:04.558552+00:00"},{"alias_kind":"pith_short_16","alias_value":"JPB4LQLF6AU6H6YO","created_at":"2026-05-28T02:05:04.558552+00:00"},{"alias_kind":"pith_short_8","alias_value":"JPB4LQLF","created_at":"2026-05-28T02:05:04.558552+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC","json":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC.json","graph_json":"https://pith.science/api/pith-number/JPB4LQLF6AU6H6YOQADRA4PQGC/graph.json","events_json":"https://pith.science/api/pith-number/JPB4LQLF6AU6H6YOQADRA4PQGC/events.json","paper":"https://pith.science/paper/JPB4LQLF"},"agent_actions":{"view_html":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC","download_json":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC.json","view_paper":"https://pith.science/paper/JPB4LQLF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28816&json=true","fetch_graph":"https://pith.science/api/pith-number/JPB4LQLF6AU6H6YOQADRA4PQGC/graph.json","fetch_events":"https://pith.science/api/pith-number/JPB4LQLF6AU6H6YOQADRA4PQGC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC/action/storage_attestation","attest_author":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC/action/author_attestation","sign_citation":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC/action/citation_signature","submit_replication":"https://pith.science/pith/JPB4LQLF6AU6H6YOQADRA4PQGC/action/replication_record"}},"created_at":"2026-05-28T02:05:04.558552+00:00","updated_at":"2026-05-28T02:05:04.558552+00:00"}