{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GSRFHW6ZALOWDH5Z6AIWQJCUKR","short_pith_number":"pith:GSRFHW6Z","schema_version":"1.0","canonical_sha256":"34a253dbd902dd619fb9f01168245454426de6b79a4d345163cbc2d8b07b6d9d","source":{"kind":"arxiv","id":"2606.12690","version":1},"attestation_state":"computed","paper":{"title":"EWAM: An Enhanced World Action Model for Closed-Loop Online Adaptation in Embodied Intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Cong Miao, Xin Zhou","submitted_at":"2026-06-10T21:24:46Z","abstract_excerpt":"In this paper, we propose the Enhanced World Action Model (EWAM), a closed-loop online adaptation architecture built upon a pretrained and fully frozen Cosmos3 backbone network. Evaluated entirely under a zero-shot task protocol, EWAM is centrally focused on reducing the amount of additional deployment data required to adapt to new task layouts. Notably, no extra task-specific demonstration sets were introduced in any of the evaluations, and no fine-tuning was performed on the backbone network. Its performance gains stem entirely from an inference-time co-reasoning mechanism composed of four i"},"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":"2606.12690","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T21:24:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bfb773e4da986e88295b76b216ac187c78410b311ce808e822ac437113d04654","abstract_canon_sha256":"4c1001fcb849b57fd03cd625038b22b73c8c62e9b9e92dc8f5ef020854ec78bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:08:45.628686Z","signature_b64":"bGPbkAxtD2oDu9YXNBMKQnZl3bPqp/mx0Y8r7Ex2AXWs1LriyFUnjP896647FEUJp9m5j9r1p0GiU/9xmQ6mDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34a253dbd902dd619fb9f01168245454426de6b79a4d345163cbc2d8b07b6d9d","last_reissued_at":"2026-06-12T01:08:45.627823Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:08:45.627823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EWAM: An Enhanced World Action Model for Closed-Loop Online Adaptation in Embodied Intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Cong Miao, Xin Zhou","submitted_at":"2026-06-10T21:24:46Z","abstract_excerpt":"In this paper, we propose the Enhanced World Action Model (EWAM), a closed-loop online adaptation architecture built upon a pretrained and fully frozen Cosmos3 backbone network. Evaluated entirely under a zero-shot task protocol, EWAM is centrally focused on reducing the amount of additional deployment data required to adapt to new task layouts. Notably, no extra task-specific demonstration sets were introduced in any of the evaluations, and no fine-tuning was performed on the backbone network. Its performance gains stem entirely from an inference-time co-reasoning mechanism composed of four i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12690","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/2606.12690/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":"2606.12690","created_at":"2026-06-12T01:08:45.627946+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.12690v1","created_at":"2026-06-12T01:08:45.627946+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12690","created_at":"2026-06-12T01:08:45.627946+00:00"},{"alias_kind":"pith_short_12","alias_value":"GSRFHW6ZALOW","created_at":"2026-06-12T01:08:45.627946+00:00"},{"alias_kind":"pith_short_16","alias_value":"GSRFHW6ZALOWDH5Z","created_at":"2026-06-12T01:08:45.627946+00:00"},{"alias_kind":"pith_short_8","alias_value":"GSRFHW6Z","created_at":"2026-06-12T01:08:45.627946+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/GSRFHW6ZALOWDH5Z6AIWQJCUKR","json":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR.json","graph_json":"https://pith.science/api/pith-number/GSRFHW6ZALOWDH5Z6AIWQJCUKR/graph.json","events_json":"https://pith.science/api/pith-number/GSRFHW6ZALOWDH5Z6AIWQJCUKR/events.json","paper":"https://pith.science/paper/GSRFHW6Z"},"agent_actions":{"view_html":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR","download_json":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR.json","view_paper":"https://pith.science/paper/GSRFHW6Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.12690&json=true","fetch_graph":"https://pith.science/api/pith-number/GSRFHW6ZALOWDH5Z6AIWQJCUKR/graph.json","fetch_events":"https://pith.science/api/pith-number/GSRFHW6ZALOWDH5Z6AIWQJCUKR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR/action/storage_attestation","attest_author":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR/action/author_attestation","sign_citation":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR/action/citation_signature","submit_replication":"https://pith.science/pith/GSRFHW6ZALOWDH5Z6AIWQJCUKR/action/replication_record"}},"created_at":"2026-06-12T01:08:45.627946+00:00","updated_at":"2026-06-12T01:08:45.627946+00:00"}