{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FBYI3RRBZLMTRQENDW4SMMPXOZ","short_pith_number":"pith:FBYI3RRB","canonical_record":{"source":{"id":"2505.01934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-03T22:02:20Z","cross_cats_sorted":[],"title_canon_sha256":"98997e1725e01f2915c86bb4247d3df3288ae84edbcfd09b853f6d9162663748","abstract_canon_sha256":"2c3c7e1387b3c309c41dd9728dbf75b776ee8226c4998e6805ae0aaf32c1ef9d"},"schema_version":"1.0"},"canonical_sha256":"28708dc621cad938c08d1db92631f7766868292c79954f5d658672ed0cdf3bb2","source":{"kind":"arxiv","id":"2505.01934","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01934","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01934v1","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01934","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"FBYI3RRBZLMT","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_16","alias_value":"FBYI3RRBZLMTRQEN","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_8","alias_value":"FBYI3RRB","created_at":"2026-07-05T10:58:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FBYI3RRBZLMTRQENDW4SMMPXOZ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.01934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-03T22:02:20Z","cross_cats_sorted":[],"title_canon_sha256":"98997e1725e01f2915c86bb4247d3df3288ae84edbcfd09b853f6d9162663748","abstract_canon_sha256":"2c3c7e1387b3c309c41dd9728dbf75b776ee8226c4998e6805ae0aaf32c1ef9d"},"schema_version":"1.0"},"canonical_sha256":"28708dc621cad938c08d1db92631f7766868292c79954f5d658672ed0cdf3bb2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:28.684485Z","signature_b64":"6jXP6TSN/sw2MQpVxIG4/aypmloB59aeO5s80eSD0CKyMEVy5m8k9ZPtFPD7ck0PgXkXAYX8oZPHSMuBRd3/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28708dc621cad938c08d1db92631f7766868292c79954f5d658672ed0cdf3bb2","last_reissued_at":"2026-07-05T10:58:28.683857Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:28.683857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.01934","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xEax+gjVRrjLZcNr6Qlt9HAmaBJt7/bgdwAQV/0G+RvKG/5OGNAlF4i3ZcmqqeujUc4ZRk7lpwUoCsD9yhF5AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:45:34.162797Z"},"content_sha256":"0cf23a29a5c29e9fc3e6fcc3a4ffc51bc8da4b6d587fc037711f8533775ce975","schema_version":"1.0","event_id":"sha256:0cf23a29a5c29e9fc3e6fcc3a4ffc51bc8da4b6d587fc037711f8533775ce975"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FBYI3RRBZLMTRQENDW4SMMPXOZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenfeng Hou, Kaiting Zhang, Lin Chen, Yongxin Su, Zhongliang Zhao, Ziping Yu","submitted_at":"2025-05-03T22:02:20Z","abstract_excerpt":"We propose GauS-SLAM, a dense RGB-D SLAM system that leverages 2D Gaussian surfels to achieve robust tracking and high-fidelity mapping. Our investigations reveal that Gaussian-based scene representations exhibit geometry distortion under novel viewpoints, which significantly degrades the accuracy of Gaussian-based tracking methods. These geometry inconsistencies arise primarily from the depth modeling of Gaussian primitives and the mutual interference between surfaces during the depth blending. To address these, we propose a 2D Gaussian-based incremental reconstruction strategy coupled with a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01934","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/2505.01934/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1o6Yh/bd/9FhESS2N78iLey7Oz6e4lM0bTLLJ165ngk8xuwKhPvCvUKHMuFabVNlAfGBYimkdNRd4mYhOxIGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:45:34.163163Z"},"content_sha256":"026050e9685c3cf894b3b663fd49445ad02503cac1eb1eeddf9c6816f5063147","schema_version":"1.0","event_id":"sha256:026050e9685c3cf894b3b663fd49445ad02503cac1eb1eeddf9c6816f5063147"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/bundle.json","state_url":"https://pith.science/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T20:45:34Z","links":{"resolver":"https://pith.science/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ","bundle":"https://pith.science/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/bundle.json","state":"https://pith.science/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FBYI3RRBZLMTRQENDW4SMMPXOZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FBYI3RRBZLMTRQENDW4SMMPXOZ","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":"2c3c7e1387b3c309c41dd9728dbf75b776ee8226c4998e6805ae0aaf32c1ef9d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-03T22:02:20Z","title_canon_sha256":"98997e1725e01f2915c86bb4247d3df3288ae84edbcfd09b853f6d9162663748"},"schema_version":"1.0","source":{"id":"2505.01934","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01934","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01934v1","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01934","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"FBYI3RRBZLMT","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_16","alias_value":"FBYI3RRBZLMTRQEN","created_at":"2026-07-05T10:58:28Z"},{"alias_kind":"pith_short_8","alias_value":"FBYI3RRB","created_at":"2026-07-05T10:58:28Z"}],"graph_snapshots":[{"event_id":"sha256:026050e9685c3cf894b3b663fd49445ad02503cac1eb1eeddf9c6816f5063147","target":"graph","created_at":"2026-07-05T10:58:28Z","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/2505.01934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose GauS-SLAM, a dense RGB-D SLAM system that leverages 2D Gaussian surfels to achieve robust tracking and high-fidelity mapping. Our investigations reveal that Gaussian-based scene representations exhibit geometry distortion under novel viewpoints, which significantly degrades the accuracy of Gaussian-based tracking methods. These geometry inconsistencies arise primarily from the depth modeling of Gaussian primitives and the mutual interference between surfaces during the depth blending. To address these, we propose a 2D Gaussian-based incremental reconstruction strategy coupled with a","authors_text":"Chenfeng Hou, Kaiting Zhang, Lin Chen, Yongxin Su, Zhongliang Zhao, Ziping Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-03T22:02:20Z","title":"GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01934","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":"sha256:0cf23a29a5c29e9fc3e6fcc3a4ffc51bc8da4b6d587fc037711f8533775ce975","target":"record","created_at":"2026-07-05T10:58:28Z","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":"2c3c7e1387b3c309c41dd9728dbf75b776ee8226c4998e6805ae0aaf32c1ef9d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-03T22:02:20Z","title_canon_sha256":"98997e1725e01f2915c86bb4247d3df3288ae84edbcfd09b853f6d9162663748"},"schema_version":"1.0","source":{"id":"2505.01934","kind":"arxiv","version":1}},"canonical_sha256":"28708dc621cad938c08d1db92631f7766868292c79954f5d658672ed0cdf3bb2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28708dc621cad938c08d1db92631f7766868292c79954f5d658672ed0cdf3bb2","first_computed_at":"2026-07-05T10:58:28.683857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:28.683857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6jXP6TSN/sw2MQpVxIG4/aypmloB59aeO5s80eSD0CKyMEVy5m8k9ZPtFPD7ck0PgXkXAYX8oZPHSMuBRd3/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:28.684485Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.01934","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cf23a29a5c29e9fc3e6fcc3a4ffc51bc8da4b6d587fc037711f8533775ce975","sha256:026050e9685c3cf894b3b663fd49445ad02503cac1eb1eeddf9c6816f5063147"],"state_sha256":"a482c81ba66fb5fc50cf7adb03b7d34873d7b102af63df0e926e8261532a7767"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LpojgGokZ9KWjLfcL4E/Wk/Y3Z9fW/Zni4YLAlm4t6xdEp0S0IOeR/jVit/Qw1XVO3U+gGrB1jCx+zFHF6tOCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:45:34.165277Z","bundle_sha256":"8f0d9519dcc6508ef6ac00b6eb102d5843412e7bb831db8d9cb715f7f7544ff4"}}