{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LISM26WBINGHZNBKFSH4TEHO3J","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":"c43496c46b7b893d6bddd671ca340b1ec569b4d069c2e66b5f2d671936b208db","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:12Z","title_canon_sha256":"1a5baba8aecaa766b0b87a70e8fa0e46b00df4669a7f9cbad8fe74c69a4af0e9"},"schema_version":"1.0","source":{"id":"2503.16413","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16413","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16413v1","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16413","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_12","alias_value":"LISM26WBINGH","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_16","alias_value":"LISM26WBINGHZNBK","created_at":"2026-07-05T10:36:19Z"},{"alias_kind":"pith_short_8","alias_value":"LISM26WB","created_at":"2026-07-05T10:36:19Z"}],"graph_snapshots":[{"event_id":"sha256:19bd3728cf86f7dde528e3694839f59d15707fc13a4402aaefe442590e12175b","target":"graph","created_at":"2026-07-05T10:36:19Z","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/2503.16413/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present 3D Spatial MultiModal Memory (M3), a multimodal memory system designed to retain information about medium-sized static scenes through video sources for visual perception. By integrating 3D Gaussian Splatting techniques with foundation models, M3 builds a multimodal memory capable of rendering feature representations across granularities, encompassing a wide range of knowledge. In our exploration, we identify two key challenges in previous works on feature splatting: (1) computational constraints in storing high-dimensional features for each Gaussian primitive, and (2) misalignment o","authors_text":"Jianglong Ye, Ri-Zhao Qiu, Sifei Liu, Xiaolong Wang, Xuanbin Peng, Xueyan Zou, Yuchen Song","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:12Z","title":"M3: 3D-Spatial MultiModal Memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16413","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:b6f3b64a8d266499bcae53a5e3ca7ebb95000b01828fba14abb1c3f0c104ba8f","target":"record","created_at":"2026-07-05T10:36:19Z","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":"c43496c46b7b893d6bddd671ca340b1ec569b4d069c2e66b5f2d671936b208db","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T17:59:12Z","title_canon_sha256":"1a5baba8aecaa766b0b87a70e8fa0e46b00df4669a7f9cbad8fe74c69a4af0e9"},"schema_version":"1.0","source":{"id":"2503.16413","kind":"arxiv","version":1}},"canonical_sha256":"5a24cd7ac1434c7cb42a2c8fc990eeda7cf12c62360b1d4eb3811c4b217f7349","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a24cd7ac1434c7cb42a2c8fc990eeda7cf12c62360b1d4eb3811c4b217f7349","first_computed_at":"2026-07-05T10:36:19.008209Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:19.008209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H28EeDV+vf+m/1BhlI5BMDdnjbtGlsKSFCXXQZayokh+2U1kLKejutt9yEOFC7H759eeUvqvm1KPVQB/2gKDAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:19.009182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16413","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6f3b64a8d266499bcae53a5e3ca7ebb95000b01828fba14abb1c3f0c104ba8f","sha256:19bd3728cf86f7dde528e3694839f59d15707fc13a4402aaefe442590e12175b"],"state_sha256":"502de4bcb3dbbe42c233b4b54985a3e0f3fe283274f736068b27217d19eecc94"}