{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MFA2U47PILHJMUZP2JXVARC3V4","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":"6dde079b911292af1e41cd153f4fea7a2a0470f66b2e2bca75ea23992731a398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T18:25:14Z","title_canon_sha256":"803aa05db319039935bf39ab084d0e78d9312bc8108a4d2675262a73cb3f13a2"},"schema_version":"1.0","source":{"id":"2211.11704","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11704","created_at":"2026-07-05T05:57:14Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11704v2","created_at":"2026-07-05T05:57:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11704","created_at":"2026-07-05T05:57:14Z"},{"alias_kind":"pith_short_12","alias_value":"MFA2U47PILHJ","created_at":"2026-07-05T05:57:14Z"},{"alias_kind":"pith_short_16","alias_value":"MFA2U47PILHJMUZP","created_at":"2026-07-05T05:57:14Z"},{"alias_kind":"pith_short_8","alias_value":"MFA2U47P","created_at":"2026-07-05T05:57:14Z"}],"graph_snapshots":[{"event_id":"sha256:cdb54ba2ee2890d902c42e7dd0e4bedd02d86602a6da2bcb14d92eb124789c67","target":"graph","created_at":"2026-07-05T05:57:14Z","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/2211.11704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present ESLAM, an efficient implicit neural representation method for Simultaneous Localization and Mapping (SLAM). ESLAM reads RGB-D frames with unknown camera poses in a sequential manner and incrementally reconstructs the scene representation while estimating the current camera position in the scene. We incorporate the latest advances in Neural Radiance Fields (NeRF) into a SLAM system, resulting in an efficient and accurate dense visual SLAM method. Our scene representation consists of multi-scale axis-aligned perpendicular feature planes and shallow decoders that, for each point in the","authors_text":"Camilla Carta, Fran\\c{c}ois Fleuret, Mohammad Mahdi Johari","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T18:25:14Z","title":"ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11704","kind":"arxiv","version":2},"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:f49c102aa44b4252024ddd05bc80c2e62e230063c5f63927b015ee7d72ee59af","target":"record","created_at":"2026-07-05T05:57:14Z","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":"6dde079b911292af1e41cd153f4fea7a2a0470f66b2e2bca75ea23992731a398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T18:25:14Z","title_canon_sha256":"803aa05db319039935bf39ab084d0e78d9312bc8108a4d2675262a73cb3f13a2"},"schema_version":"1.0","source":{"id":"2211.11704","kind":"arxiv","version":2}},"canonical_sha256":"6141aa73ef42ce96532fd26f50445baf2cf4e57b542d8888298f39b697deac8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6141aa73ef42ce96532fd26f50445baf2cf4e57b542d8888298f39b697deac8f","first_computed_at":"2026-07-05T05:57:14.295499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:57:14.295499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AUn1YnGMGIrmEYTmgaaoIZF6rA4NezhjqXlytXddWsAXwecGG28nXWJiS7lMKghnJDIMtzkTKzOoQLaouZyBBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:57:14.295976Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.11704","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f49c102aa44b4252024ddd05bc80c2e62e230063c5f63927b015ee7d72ee59af","sha256:cdb54ba2ee2890d902c42e7dd0e4bedd02d86602a6da2bcb14d92eb124789c67"],"state_sha256":"88cb9b49096f9097d2f0bb9a6fc85696450ee304203965a0f30db5226c256441"}