{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:B2XLTQ6LYGZ2FEAM6P5QTIBEFG","short_pith_number":"pith:B2XLTQ6L","canonical_record":{"source":{"id":"2501.07478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-01-13T16:52:28Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"832638c0dde2448040e4e6126af35f69ab72b46b860f7619a7d06ee0e4939bcc","abstract_canon_sha256":"66cee38c22da6e9c57f66ddfaf786db67582dfd5b1010b27fd37e5e2ce36d409"},"schema_version":"1.0"},"canonical_sha256":"0eaeb9c3cbc1b3a2900cf3fb09a024299af69dbc9922132b03e96f54158bcc1f","source":{"kind":"arxiv","id":"2501.07478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07478","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07478v1","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07478","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_12","alias_value":"B2XLTQ6LYGZ2","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_16","alias_value":"B2XLTQ6LYGZ2FEAM","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_8","alias_value":"B2XLTQ6L","created_at":"2026-07-05T10:00:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:B2XLTQ6LYGZ2FEAM6P5QTIBEFG","target":"record","payload":{"canonical_record":{"source":{"id":"2501.07478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-01-13T16:52:28Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"832638c0dde2448040e4e6126af35f69ab72b46b860f7619a7d06ee0e4939bcc","abstract_canon_sha256":"66cee38c22da6e9c57f66ddfaf786db67582dfd5b1010b27fd37e5e2ce36d409"},"schema_version":"1.0"},"canonical_sha256":"0eaeb9c3cbc1b3a2900cf3fb09a024299af69dbc9922132b03e96f54158bcc1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:00:29.035132Z","signature_b64":"HMnaqf/trKCj98DLK9QjWR5S+iqi5DKtXvpqrs+wNz+v04o8v3Hl7SR1VOzI2Ccc0StfGnCRLLMOm5onuIg+Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0eaeb9c3cbc1b3a2900cf3fb09a024299af69dbc9922132b03e96f54158bcc1f","last_reissued_at":"2026-07-05T10:00:29.034778Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:00:29.034778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.07478","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":"2026-07-05T10:00:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B+NspIQuncd4vPBDOMZYwR38GQKUoERQIccCkOf4Mg/8wWmoL4jJJu00MkjO4GkgQ5/kVBeiuJbfOPEDvoaNDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:40:49.517830Z"},"content_sha256":"5a9b80dbff0c5a55a034b8bf610daa9c86514131ecca527abcda20e1b1fc09e8","schema_version":"1.0","event_id":"sha256:5a9b80dbff0c5a55a034b8bf610daa9c86514131ecca527abcda20e1b1fc09e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:B2XLTQ6LYGZ2FEAM6P5QTIBEFG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Lewis A G Stuart, Michael P Pound","submitted_at":"2025-01-13T16:52:28Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) excels at producing highly detailed 3D reconstructions, but these scenes often require specialised renderers for effective visualisation. In contrast, point clouds are a widely used 3D representation and are compatible with most popular 3D processing software, yet converting 3DGS scenes into point clouds is a complex challenge. In this work we introduce 3DGS-to-PC, a flexible and highly customisable framework that is capable of transforming 3DGS scenes into dense, high-accuracy point clouds. We sample points probabilistically from each Gaussian as a 3D density func"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07478","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/2501.07478/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":"2026-07-05T10:00:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g2wJ1mwzhcUm8dViki1Kpi7AmgrtvcsQgjgfPKbsKoB6yAgO5wyRsMdKyGG2SBlwHq46PwUlJC5E55PtA7eeDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:40:49.518412Z"},"content_sha256":"7c4ab4fc4b666ab58fcb81b9f46872df14042ad7bf91913be8ff54c38f71638c","schema_version":"1.0","event_id":"sha256:7c4ab4fc4b666ab58fcb81b9f46872df14042ad7bf91913be8ff54c38f71638c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/bundle.json","state_url":"https://pith.science/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/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":"2026-08-08T17:40:49Z","links":{"resolver":"https://pith.science/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG","bundle":"https://pith.science/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/bundle.json","state":"https://pith.science/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B2XLTQ6LYGZ2FEAM6P5QTIBEFG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B2XLTQ6LYGZ2FEAM6P5QTIBEFG","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":"66cee38c22da6e9c57f66ddfaf786db67582dfd5b1010b27fd37e5e2ce36d409","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-01-13T16:52:28Z","title_canon_sha256":"832638c0dde2448040e4e6126af35f69ab72b46b860f7619a7d06ee0e4939bcc"},"schema_version":"1.0","source":{"id":"2501.07478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.07478","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"arxiv_version","alias_value":"2501.07478v1","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.07478","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_12","alias_value":"B2XLTQ6LYGZ2","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_16","alias_value":"B2XLTQ6LYGZ2FEAM","created_at":"2026-07-05T10:00:29Z"},{"alias_kind":"pith_short_8","alias_value":"B2XLTQ6L","created_at":"2026-07-05T10:00:29Z"}],"graph_snapshots":[{"event_id":"sha256:7c4ab4fc4b666ab58fcb81b9f46872df14042ad7bf91913be8ff54c38f71638c","target":"graph","created_at":"2026-07-05T10:00:29Z","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/2501.07478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian Splatting (3DGS) excels at producing highly detailed 3D reconstructions, but these scenes often require specialised renderers for effective visualisation. In contrast, point clouds are a widely used 3D representation and are compatible with most popular 3D processing software, yet converting 3DGS scenes into point clouds is a complex challenge. In this work we introduce 3DGS-to-PC, a flexible and highly customisable framework that is capable of transforming 3DGS scenes into dense, high-accuracy point clouds. We sample points probabilistically from each Gaussian as a 3D density func","authors_text":"Lewis A G Stuart, Michael P Pound","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-01-13T16:52:28Z","title":"3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.07478","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":"sha256:5a9b80dbff0c5a55a034b8bf610daa9c86514131ecca527abcda20e1b1fc09e8","target":"record","created_at":"2026-07-05T10:00:29Z","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":"66cee38c22da6e9c57f66ddfaf786db67582dfd5b1010b27fd37e5e2ce36d409","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-01-13T16:52:28Z","title_canon_sha256":"832638c0dde2448040e4e6126af35f69ab72b46b860f7619a7d06ee0e4939bcc"},"schema_version":"1.0","source":{"id":"2501.07478","kind":"arxiv","version":1}},"canonical_sha256":"0eaeb9c3cbc1b3a2900cf3fb09a024299af69dbc9922132b03e96f54158bcc1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eaeb9c3cbc1b3a2900cf3fb09a024299af69dbc9922132b03e96f54158bcc1f","first_computed_at":"2026-07-05T10:00:29.034778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:00:29.034778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HMnaqf/trKCj98DLK9QjWR5S+iqi5DKtXvpqrs+wNz+v04o8v3Hl7SR1VOzI2Ccc0StfGnCRLLMOm5onuIg+Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:00:29.035132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.07478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a9b80dbff0c5a55a034b8bf610daa9c86514131ecca527abcda20e1b1fc09e8","sha256:7c4ab4fc4b666ab58fcb81b9f46872df14042ad7bf91913be8ff54c38f71638c"],"state_sha256":"a9054bf5eed1823b0aa8bb8c022ffb43885e6fbcd0b5a7885187118540359de9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wkalPvglnoeLdZTreZJ45Wt1nYL1ZnA9uOuZsS8bq9laD/dvJFV9m07njzKTnbIc4BJcBGNOtvvp8Vuelg7jCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:40:49.522603Z","bundle_sha256":"8f1753bcbfb7efbf8badaf0c7ecd2c6ad3aa38dc2c926a16848f56a311903bd1"}}