{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H2Y3ENPLVBENLHVPZ64OGKICNI","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":"f293a091b72500624a560eab1cc0d8aec1904ef254350e96c41770e02b3e875c","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-04-14T09:06:02Z","title_canon_sha256":"d8412abb230480826d9ecffb8cb04cba2bc5f289a7a685eeeb2da8f584d4e403"},"schema_version":"1.0","source":{"id":"2504.10003","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.10003","created_at":"2026-07-05T10:48:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.10003v1","created_at":"2026-07-05T10:48:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.10003","created_at":"2026-07-05T10:48:46Z"},{"alias_kind":"pith_short_12","alias_value":"H2Y3ENPLVBEN","created_at":"2026-07-05T10:48:46Z"},{"alias_kind":"pith_short_16","alias_value":"H2Y3ENPLVBENLHVP","created_at":"2026-07-05T10:48:46Z"},{"alias_kind":"pith_short_8","alias_value":"H2Y3ENPL","created_at":"2026-07-05T10:48:46Z"}],"graph_snapshots":[{"event_id":"sha256:4b66f2e6b06fe924f0f778f714dfcdda1a26787185f6129e58e67c6514973704","target":"graph","created_at":"2026-07-05T10:48:46Z","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/2504.10003/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual navigation, a fundamental challenge in mobile robotics, demands versatile policies to handle diverse environments. Classical methods leverage geometric solutions to minimize specific costs, offering adaptability to new scenarios but are prone to system errors due to their multi-modular design and reliance on hand-crafted rules. Learning-based methods, while achieving high planning success rates, face difficulties in generalizing to unseen environments beyond the training data and often require extensive training. To address these limitations, we propose a hybrid approach that combines t","authors_text":"Hao Ren, Hui Cheng, Junlong Huang, Shuhang Wang, Yiming Zeng","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-04-14T09:06:02Z","title":"NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.10003","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":"sha256:02a6d75e7cc923aa5ee9907babd578d7249cb3f8904202949585b4cada0ffb80","target":"record","created_at":"2026-07-05T10:48:46Z","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":"f293a091b72500624a560eab1cc0d8aec1904ef254350e96c41770e02b3e875c","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-04-14T09:06:02Z","title_canon_sha256":"d8412abb230480826d9ecffb8cb04cba2bc5f289a7a685eeeb2da8f584d4e403"},"schema_version":"1.0","source":{"id":"2504.10003","kind":"arxiv","version":1}},"canonical_sha256":"3eb1b235eba848d59eafcfb8e329026a236e59b84e6416fb48283c59c477e083","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3eb1b235eba848d59eafcfb8e329026a236e59b84e6416fb48283c59c477e083","first_computed_at":"2026-07-05T10:48:46.306000Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:46.306000Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vn+dg/4vUPUxrtT7P4rjB0wo3jcSDQ3UL9Pm9TcX2oBN3aW3wfuKEOX9hyw/zaczlkN8DBwCFwl9J76mHKewDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:46.306576Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.10003","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02a6d75e7cc923aa5ee9907babd578d7249cb3f8904202949585b4cada0ffb80","sha256:4b66f2e6b06fe924f0f778f714dfcdda1a26787185f6129e58e67c6514973704"],"state_sha256":"9e159a335cf7684eba7b67d1f25410ec5379247bd0ed938b0d84e9cec490c006"}