{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:W3SMYTDHG3FHDXKESNSI3E3MLX","short_pith_number":"pith:W3SMYTDH","schema_version":"1.0","canonical_sha256":"b6e4cc4c6736ca71dd4493648d936c5dd3832543c0b929e7dd0bdabc790281fb","source":{"kind":"arxiv","id":"2508.07003","version":1},"attestation_state":"computed","paper":{"title":"EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Chenyang Shi, Jin Jing, Lihua Xie, Shenghai Yuan, Siyu Chen, Thien-Minh Nguyen, Zhuyu Huang","submitted_at":"2025-08-09T14:44:55Z","abstract_excerpt":"Gaussian Splatting SLAM (GS-SLAM) offers a notable improvement over traditional SLAM methods, enabling photorealistic 3D reconstruction that conventional approaches often struggle to achieve. However, existing GS-SLAM systems perform poorly under persistent and severe motion blur commonly encountered in real-world scenarios, leading to significantly degraded tracking accuracy and compromised 3D reconstruction quality. To address this limitation, we propose EGS-SLAM, a novel GS-SLAM framework that fuses event data with RGB-D inputs to simultaneously reduce motion blur in images and compensate f"},"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":"2508.07003","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-08-09T14:44:55Z","cross_cats_sorted":[],"title_canon_sha256":"48a166bfca5b32c497fc5f7e7480e8ffe065d729d30604b305f52acc49654a51","abstract_canon_sha256":"454462965e6a637a456a501558577c2dc58d34e05f0f87a19341bbb063dae93a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:39.124711Z","signature_b64":"m7XP2D12HdjRizdxcrE3kQE+v6OSodeTcntKQ9aGv3LLrBNH6neVWQF8hlxM+9AS7/PoRgel4wo/r1AaR46pBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6e4cc4c6736ca71dd4493648d936c5dd3832543c0b929e7dd0bdabc790281fb","last_reissued_at":"2026-07-05T11:51:39.124213Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:39.124213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Chenyang Shi, Jin Jing, Lihua Xie, Shenghai Yuan, Siyu Chen, Thien-Minh Nguyen, Zhuyu Huang","submitted_at":"2025-08-09T14:44:55Z","abstract_excerpt":"Gaussian Splatting SLAM (GS-SLAM) offers a notable improvement over traditional SLAM methods, enabling photorealistic 3D reconstruction that conventional approaches often struggle to achieve. However, existing GS-SLAM systems perform poorly under persistent and severe motion blur commonly encountered in real-world scenarios, leading to significantly degraded tracking accuracy and compromised 3D reconstruction quality. To address this limitation, we propose EGS-SLAM, a novel GS-SLAM framework that fuses event data with RGB-D inputs to simultaneously reduce motion blur in images and compensate f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07003","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/2508.07003/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":"2508.07003","created_at":"2026-07-05T11:51:39.124272+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.07003v1","created_at":"2026-07-05T11:51:39.124272+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07003","created_at":"2026-07-05T11:51:39.124272+00:00"},{"alias_kind":"pith_short_12","alias_value":"W3SMYTDHG3FH","created_at":"2026-07-05T11:51:39.124272+00:00"},{"alias_kind":"pith_short_16","alias_value":"W3SMYTDHG3FHDXKE","created_at":"2026-07-05T11:51:39.124272+00:00"},{"alias_kind":"pith_short_8","alias_value":"W3SMYTDH","created_at":"2026-07-05T11:51:39.124272+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/W3SMYTDHG3FHDXKESNSI3E3MLX","json":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX.json","graph_json":"https://pith.science/api/pith-number/W3SMYTDHG3FHDXKESNSI3E3MLX/graph.json","events_json":"https://pith.science/api/pith-number/W3SMYTDHG3FHDXKESNSI3E3MLX/events.json","paper":"https://pith.science/paper/W3SMYTDH"},"agent_actions":{"view_html":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX","download_json":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX.json","view_paper":"https://pith.science/paper/W3SMYTDH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.07003&json=true","fetch_graph":"https://pith.science/api/pith-number/W3SMYTDHG3FHDXKESNSI3E3MLX/graph.json","fetch_events":"https://pith.science/api/pith-number/W3SMYTDHG3FHDXKESNSI3E3MLX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX/action/storage_attestation","attest_author":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX/action/author_attestation","sign_citation":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX/action/citation_signature","submit_replication":"https://pith.science/pith/W3SMYTDHG3FHDXKESNSI3E3MLX/action/replication_record"}},"created_at":"2026-07-05T11:51:39.124272+00:00","updated_at":"2026-07-05T11:51:39.124272+00:00"}