{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:55KZYUA6USYFM2RRPACIL6WKFR","short_pith_number":"pith:55KZYUA6","canonical_record":{"source":{"id":"2403.11681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T11:35:18Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5a9b546718afe1fcde0bbfeeb9b7d857ce7021c8a87d0c25de584d79f9ef9b52","abstract_canon_sha256":"9300b3b8239a8ffa1403dcb79b820d8b547687673675bd3dab39cca8bf5d914f"},"schema_version":"1.0"},"canonical_sha256":"ef559c501ea4b0566a31780485faca2c46dda774a604637e7c5be31b2d3a8c7f","source":{"kind":"arxiv","id":"2403.11681","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11681","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11681v1","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11681","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_12","alias_value":"55KZYUA6USYF","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_16","alias_value":"55KZYUA6USYFM2RR","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_8","alias_value":"55KZYUA6","created_at":"2026-07-05T07:57:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:55KZYUA6USYFM2RRPACIL6WKFR","target":"record","payload":{"canonical_record":{"source":{"id":"2403.11681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T11:35:18Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"5a9b546718afe1fcde0bbfeeb9b7d857ce7021c8a87d0c25de584d79f9ef9b52","abstract_canon_sha256":"9300b3b8239a8ffa1403dcb79b820d8b547687673675bd3dab39cca8bf5d914f"},"schema_version":"1.0"},"canonical_sha256":"ef559c501ea4b0566a31780485faca2c46dda774a604637e7c5be31b2d3a8c7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:57:19.960592Z","signature_b64":"s5iJMfKSvbYmRKX/BWu7B/BYCZyXehV1MlsaLsPG+NS0scUz2JSDRnCJU1NzwmpH0wnPpue8mKr85WLrqwwtAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef559c501ea4b0566a31780485faca2c46dda774a604637e7c5be31b2d3a8c7f","last_reissued_at":"2026-07-05T07:57:19.960043Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:57:19.960043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.11681","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":"2026-07-05T07:57:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5AR8QmOuDM/aFmWDZ8qA5JW0i+cy8ueSCe2jVJzERp06eyjnd72ylCJA5puvHowsuxDE2uDs/0MqQFyo5wygCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T16:07:19.923151Z"},"content_sha256":"24eba8889ead7f1eefbea80bd99fc491836d1b6cd6fca64e03a57d1be3122be3","schema_version":"1.0","event_id":"sha256:24eba8889ead7f1eefbea80bd99fc491836d1b6cd6fca64e03a57d1be3122be3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:55KZYUA6USYFM2RRPACIL6WKFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Boyu Zhou, Chen Feng, Guiyong Zheng, Jinqi Jiang, Shaojie Shen","submitted_at":"2024-03-18T11:35:18Z","abstract_excerpt":"Surface prediction and completion have been widely studied in various applications. Recently, research in surface completion has evolved from small objects to complex large-scale scenes. As a result, researchers have begun increasing the volume of data and leveraging a greater variety of data modalities including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance. However, existing datasets suffer from a deficiency in the amounts of scene-level models along with the corresponding multi-modal information. Therefore, a method to scale the datasets and gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11681","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/2403.11681/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":"2026-07-05T07:57:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XU43ZQDwMGca+xEwVuuqx4LzzaF7ocdiuKVzBum0HP+rGOq6Zbv8Qd5hzSJRTktoiH42nvqryDNZaQDbLswkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T16:07:19.923640Z"},"content_sha256":"167a38be798a893cd191a2a479c573d520b836cfb0adf0ff5955c80055de00d9","schema_version":"1.0","event_id":"sha256:167a38be798a893cd191a2a479c573d520b836cfb0adf0ff5955c80055de00d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/55KZYUA6USYFM2RRPACIL6WKFR/bundle.json","state_url":"https://pith.science/pith/55KZYUA6USYFM2RRPACIL6WKFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/55KZYUA6USYFM2RRPACIL6WKFR/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":"2026-08-06T16:07:19Z","links":{"resolver":"https://pith.science/pith/55KZYUA6USYFM2RRPACIL6WKFR","bundle":"https://pith.science/pith/55KZYUA6USYFM2RRPACIL6WKFR/bundle.json","state":"https://pith.science/pith/55KZYUA6USYFM2RRPACIL6WKFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/55KZYUA6USYFM2RRPACIL6WKFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:55KZYUA6USYFM2RRPACIL6WKFR","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":"9300b3b8239a8ffa1403dcb79b820d8b547687673675bd3dab39cca8bf5d914f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T11:35:18Z","title_canon_sha256":"5a9b546718afe1fcde0bbfeeb9b7d857ce7021c8a87d0c25de584d79f9ef9b52"},"schema_version":"1.0","source":{"id":"2403.11681","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11681","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11681v1","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11681","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_12","alias_value":"55KZYUA6USYF","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_16","alias_value":"55KZYUA6USYFM2RR","created_at":"2026-07-05T07:57:19Z"},{"alias_kind":"pith_short_8","alias_value":"55KZYUA6","created_at":"2026-07-05T07:57:19Z"}],"graph_snapshots":[{"event_id":"sha256:167a38be798a893cd191a2a479c573d520b836cfb0adf0ff5955c80055de00d9","target":"graph","created_at":"2026-07-05T07:57:19Z","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/2403.11681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surface prediction and completion have been widely studied in various applications. Recently, research in surface completion has evolved from small objects to complex large-scale scenes. As a result, researchers have begun increasing the volume of data and leveraging a greater variety of data modalities including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance. However, existing datasets suffer from a deficiency in the amounts of scene-level models along with the corresponding multi-modal information. Therefore, a method to scale the datasets and gen","authors_text":"Boyu Zhou, Chen Feng, Guiyong Zheng, Jinqi Jiang, Shaojie Shen","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T11:35:18Z","title":"MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11681","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":"sha256:24eba8889ead7f1eefbea80bd99fc491836d1b6cd6fca64e03a57d1be3122be3","target":"record","created_at":"2026-07-05T07:57:19Z","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":"9300b3b8239a8ffa1403dcb79b820d8b547687673675bd3dab39cca8bf5d914f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T11:35:18Z","title_canon_sha256":"5a9b546718afe1fcde0bbfeeb9b7d857ce7021c8a87d0c25de584d79f9ef9b52"},"schema_version":"1.0","source":{"id":"2403.11681","kind":"arxiv","version":1}},"canonical_sha256":"ef559c501ea4b0566a31780485faca2c46dda774a604637e7c5be31b2d3a8c7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef559c501ea4b0566a31780485faca2c46dda774a604637e7c5be31b2d3a8c7f","first_computed_at":"2026-07-05T07:57:19.960043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:19.960043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s5iJMfKSvbYmRKX/BWu7B/BYCZyXehV1MlsaLsPG+NS0scUz2JSDRnCJU1NzwmpH0wnPpue8mKr85WLrqwwtAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:19.960592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.11681","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24eba8889ead7f1eefbea80bd99fc491836d1b6cd6fca64e03a57d1be3122be3","sha256:167a38be798a893cd191a2a479c573d520b836cfb0adf0ff5955c80055de00d9"],"state_sha256":"f3d5f273d375cfda70d83e30cb7b67c05a2395524c65ccd70e3af755148f3488"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4pFSNJycgNA98wlvIMj21E4jf+QrwNauIdXm4Fiy7wHCFC12qaX1BsgD1T89WfdAWHbkv9CXmuBdcJ5KKSfiCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T16:07:19.926849Z","bundle_sha256":"786bd346b07e7d729bde8cc479e9b2ed19cfa170745b1b3ea9b94816c496102a"}}