{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HIOBPTLAICNEYDLOQKSTDM3GZ6","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":"104505a6efac42d00e0ebd6f5b8fad935103c4443081362933710780938666f1","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T16:46:20Z","title_canon_sha256":"7e80b9390dceccc29512b9c8e5d088d33fcc9b0379d4fbdfaf47b61e2c4078dc"},"schema_version":"1.0","source":{"id":"2505.24784","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24784","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24784v1","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24784","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_12","alias_value":"HIOBPTLAICNE","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_16","alias_value":"HIOBPTLAICNEYDLO","created_at":"2026-07-05T11:12:56Z"},{"alias_kind":"pith_short_8","alias_value":"HIOBPTLA","created_at":"2026-07-05T11:12:56Z"}],"graph_snapshots":[{"event_id":"sha256:ff37358de241c105c40750159947270af5d0ed657a98d71619133c004bc319b4","target":"graph","created_at":"2026-07-05T11:12:56Z","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/2505.24784/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current deep reinforcement learning (DRL) approaches achieve state-of-the-art performance in various domains, but struggle with data efficiency compared to human learning, which leverages core priors about objects and their interactions. Active inference offers a principled framework for integrating sensory information with prior knowledge to learn a world model and quantify the uncertainty of its own beliefs and predictions. However, active inference models are usually crafted for a single task with bespoke knowledge, so they lack the domain flexibility typical of DRL approaches. To bridge th","authors_text":"Alexander Tschantz, Christopher Buckley, Conor Heins, Corrado Pezzato, Dimitrije Markovic, Hampus Linander, Karl Friston, Magnus Koudahl, Marco Perin, Ozan Catal, Ran Wei, Tim Verbelen, Tommaso Salvatori, Toon Van de Maele","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T16:46:20Z","title":"AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24784","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:cb36eecc717783ffff9d58b3ef33f222ecbb2f64ead3ad54b85ebed22abd22a5","target":"record","created_at":"2026-07-05T11:12:56Z","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":"104505a6efac42d00e0ebd6f5b8fad935103c4443081362933710780938666f1","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-30T16:46:20Z","title_canon_sha256":"7e80b9390dceccc29512b9c8e5d088d33fcc9b0379d4fbdfaf47b61e2c4078dc"},"schema_version":"1.0","source":{"id":"2505.24784","kind":"arxiv","version":1}},"canonical_sha256":"3a1c17cd60409a4c0d6e82a531b366cf9254baa311fc701183ac50710fdaeb70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a1c17cd60409a4c0d6e82a531b366cf9254baa311fc701183ac50710fdaeb70","first_computed_at":"2026-07-05T11:12:56.648915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:56.648915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ah8/lKlU2npuCl/RGY8/9Lh88Gdr4kxcqCyDLyCePSVf8Qi/3fxTqkbd9mUSWus8FgwRHQ7l1ZtbBInY9yC4DA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:56.649449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24784","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb36eecc717783ffff9d58b3ef33f222ecbb2f64ead3ad54b85ebed22abd22a5","sha256:ff37358de241c105c40750159947270af5d0ed657a98d71619133c004bc319b4"],"state_sha256":"5faf73b254a96fe4e702685bd540aaa331ee680d6f47be737e5bc43fa65b2973"}