{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5IH6CBLM2ZL7VNJ3I5E56YK2R3","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":"df3ffdff7b24888714be3134009b6c6b6a3e9ae5ea23ff9efe0552bd9c6eb99a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-31T16:20:02Z","title_canon_sha256":"78056bd75a226e1068ff7f7c75cc97480d2870e48c2c966f5dba1cbecd43e5d1"},"schema_version":"1.0","source":{"id":"2507.23698","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23698","created_at":"2026-07-05T11:46:29Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23698v1","created_at":"2026-07-05T11:46:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23698","created_at":"2026-07-05T11:46:29Z"},{"alias_kind":"pith_short_12","alias_value":"5IH6CBLM2ZL7","created_at":"2026-07-05T11:46:29Z"},{"alias_kind":"pith_short_16","alias_value":"5IH6CBLM2ZL7VNJ3","created_at":"2026-07-05T11:46:29Z"},{"alias_kind":"pith_short_8","alias_value":"5IH6CBLM","created_at":"2026-07-05T11:46:29Z"}],"graph_snapshots":[{"event_id":"sha256:bfa9936278bc0e2c4c771748afc2e968c480c817f5619dbdeb3e18cf9b45ccd5","target":"graph","created_at":"2026-07-05T11:46:29Z","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/2507.23698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Reinforcement Learning (RL) has achieved remarkable success in language modeling, its triumph hasn't yet fully translated to visuomotor agents. A primary challenge in RL models is their tendency to overfit specific tasks or environments, thereby hindering the acquisition of generalizable behaviors across diverse settings. This paper provides a preliminary answer to this challenge by demonstrating that RL-finetuned visuomotor agents in Minecraft can achieve zero-shot generalization to unseen worlds. Specifically, we explore RL's potential to enhance generalizable spatial reasoning and int","authors_text":"Anji Liu, Bowei Zhang, Haiwen Xia, Shaofei Cai, Yitao Liang, Zhancun Mu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-31T16:20:02Z","title":"Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23698","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:c3e93a3f7afba76ac5e80039d5cc2ee9d8d61f5bb646f64a29ce3a9458a6fbb0","target":"record","created_at":"2026-07-05T11:46:29Z","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":"df3ffdff7b24888714be3134009b6c6b6a3e9ae5ea23ff9efe0552bd9c6eb99a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-31T16:20:02Z","title_canon_sha256":"78056bd75a226e1068ff7f7c75cc97480d2870e48c2c966f5dba1cbecd43e5d1"},"schema_version":"1.0","source":{"id":"2507.23698","kind":"arxiv","version":1}},"canonical_sha256":"ea0fe1056cd657fab53b4749df615a8eead61f27b5f46b58855a78a92776573b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea0fe1056cd657fab53b4749df615a8eead61f27b5f46b58855a78a92776573b","first_computed_at":"2026-07-05T11:46:29.525169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:29.525169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NKh5sx8T3rsZuie0zwnRJpQZ06Q86Rt8s+vifx/AkK7Qdngipjtwp9Ahke3Vb5RBxLTOYVInL1rSey5paMuYAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:29.525732Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23698","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3e93a3f7afba76ac5e80039d5cc2ee9d8d61f5bb646f64a29ce3a9458a6fbb0","sha256:bfa9936278bc0e2c4c771748afc2e968c480c817f5619dbdeb3e18cf9b45ccd5"],"state_sha256":"53fdae8642f7092a21f04b1a6c99258ce729e25ade6aa95137ea501c0ab37471"}