{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4ZYHB6IOI7PXECNW4QTTQNL7XF","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":"6884c658f39fc12285fa6240c21d36ede471726dd4dabfc704d9aaad4e028c9d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-05T21:26:03Z","title_canon_sha256":"37d04a977c53646fd0c3c5f316f48e7bc9c65197035c8815f89f9fba70e8d0c8"},"schema_version":"1.0","source":{"id":"2505.03035","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03035","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03035v1","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03035","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_12","alias_value":"4ZYHB6IOI7PX","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_16","alias_value":"4ZYHB6IOI7PXECNW","created_at":"2026-07-05T10:58:51Z"},{"alias_kind":"pith_short_8","alias_value":"4ZYHB6IO","created_at":"2026-07-05T10:58:51Z"}],"graph_snapshots":[{"event_id":"sha256:f45db53d7ae680bcc132dcf3c04043d9e7c1beb3fbaa1e9de7d79ea8cd500ea6","target":"graph","created_at":"2026-07-05T10:58:51Z","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/2505.03035/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous long-horizon mobile manipulation encompasses a multitude of challenges, including scene dynamics, unexplored areas, and error recovery. Recent works have leveraged foundation models for scene-level robotic reasoning and planning. However, the performance of these methods degrades when dealing with a large number of objects and large-scale environments. To address these limitations, we propose MORE, a novel approach for enhancing the capabilities of language models to solve zero-shot mobile manipulation planning for rearrangement tasks. MORE leverages scene graphs to represent enviro","authors_text":"Abhinav Valada, Daniel Honerkamp, Fabien Despinoy, Igor Gilitschenski, Martin B\\\"uchner, Matteo Cassinelli, Mohammad Mohammadi, Tim Welschehold","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-05T21:26:03Z","title":"MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03035","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:e25a2eda96b024af826a558041ffcd287e4d20f68232c2aafb43a02ee1f53570","target":"record","created_at":"2026-07-05T10:58:51Z","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":"6884c658f39fc12285fa6240c21d36ede471726dd4dabfc704d9aaad4e028c9d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-05T21:26:03Z","title_canon_sha256":"37d04a977c53646fd0c3c5f316f48e7bc9c65197035c8815f89f9fba70e8d0c8"},"schema_version":"1.0","source":{"id":"2505.03035","kind":"arxiv","version":1}},"canonical_sha256":"e67070f90e47df7209b6e42738357fb965ffd08ad734845d89181ef410917373","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e67070f90e47df7209b6e42738357fb965ffd08ad734845d89181ef410917373","first_computed_at":"2026-07-05T10:58:51.578950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:51.578950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RYVJy51Mm0RljxOY05zekct2hjDFlvfn0m8owM9W94jzlAqXoKDKTEH+79qMg3SyVVICpTBeGM2HIuz46G6KDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:51.579470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03035","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e25a2eda96b024af826a558041ffcd287e4d20f68232c2aafb43a02ee1f53570","sha256:f45db53d7ae680bcc132dcf3c04043d9e7c1beb3fbaa1e9de7d79ea8cd500ea6"],"state_sha256":"e8cdf2a4057eb7cc9572b48f85f4173aa0029bd9ce8612a0900fde54e6a2b386"}