{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LCVOKLDJPDPIVHZDVSOY2HAOFE","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":"3aa0a50dc225c057f04961216b85c97a690084419c61340cfcbe188f2d1ee8e5","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GT","submitted_at":"2024-02-02T01:09:39Z","title_canon_sha256":"929b28f4704788857b52084316c326a5680daa174863966fbed27894c52b5bfc"},"schema_version":"1.0","source":{"id":"2402.01088","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01088","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01088v2","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01088","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"LCVOKLDJPDPI","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"LCVOKLDJPDPIVHZD","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"LCVOKLDJ","created_at":"2026-07-05T08:01:36Z"}],"graph_snapshots":[{"event_id":"sha256:c275708ce8b3ab3d4a1810ef7e00b3c1b473844241719572e909d4c7f534d6c7","target":"graph","created_at":"2026-07-05T08:01:36Z","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/2402.01088/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing prevalence of multi-agent learning systems in society necessitates understanding how to learn effective and safe policies in general-sum multi-agent environments against a variety of opponents, including self-play. General-sum learning is difficult because of non-stationary opponents and misaligned incentives. Our first main contribution is to show that many recent approaches to general-sum learning can be derived as approximations to Stackelberg strategies, which suggests a framework for developing new multi-agent learning algorithms. We then define non-coincidental games as ga","authors_text":"Chris Lu, Christian Schroeder de Witt, Jake Levi, Jakob Foerster, Timon Willi","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GT","submitted_at":"2024-02-02T01:09:39Z","title":"The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01088","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:eb70c1070833733ae0c34847684479dd3c0048784d8d9bf9a8011b00ef58e20c","target":"record","created_at":"2026-07-05T08:01:36Z","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":"3aa0a50dc225c057f04961216b85c97a690084419c61340cfcbe188f2d1ee8e5","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GT","submitted_at":"2024-02-02T01:09:39Z","title_canon_sha256":"929b28f4704788857b52084316c326a5680daa174863966fbed27894c52b5bfc"},"schema_version":"1.0","source":{"id":"2402.01088","kind":"arxiv","version":2}},"canonical_sha256":"58aae52c6978de8a9f23ac9d8d1c0e29028dc95bb0a60d85604ce7bd0935d54f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58aae52c6978de8a9f23ac9d8d1c0e29028dc95bb0a60d85604ce7bd0935d54f","first_computed_at":"2026-07-05T08:01:36.914158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:36.914158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y+eViEych+/0/eZskyxUmXX6toYy6mP0c/Wu4xqa7XbvJnqtZUWTOPfNTJzkFl7HKB0mZTIjxSPCA5wOAJQqCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:36.914718Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.01088","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb70c1070833733ae0c34847684479dd3c0048784d8d9bf9a8011b00ef58e20c","sha256:c275708ce8b3ab3d4a1810ef7e00b3c1b473844241719572e909d4c7f534d6c7"],"state_sha256":"9475b6bee410e9b21809102758366cc8df942953370002dd5f7715cfb1213c01"}