{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MTEK3RPEDNBL4NFWJFWGRVDC32","short_pith_number":"pith:MTEK3RPE","canonical_record":{"source":{"id":"2304.13916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-27T02:00:04Z","cross_cats_sorted":[],"title_canon_sha256":"4184af5f2b53c70664abf982284571f2b80a4aea691ee8c2eb87370e9d87687e","abstract_canon_sha256":"7afc1d3b313507a546cadf6f5c43968215d908b89d323603520727234849c6f4"},"schema_version":"1.0"},"canonical_sha256":"64c8adc5e41b42be34b6496c68d462deb28612397e485393fc5ce8693a98c268","source":{"kind":"arxiv","id":"2304.13916","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13916","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13916v1","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13916","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"MTEK3RPEDNBL","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"MTEK3RPEDNBL4NFW","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"MTEK3RPE","created_at":"2026-07-05T06:04:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MTEK3RPEDNBL4NFWJFWGRVDC32","target":"record","payload":{"canonical_record":{"source":{"id":"2304.13916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-27T02:00:04Z","cross_cats_sorted":[],"title_canon_sha256":"4184af5f2b53c70664abf982284571f2b80a4aea691ee8c2eb87370e9d87687e","abstract_canon_sha256":"7afc1d3b313507a546cadf6f5c43968215d908b89d323603520727234849c6f4"},"schema_version":"1.0"},"canonical_sha256":"64c8adc5e41b42be34b6496c68d462deb28612397e485393fc5ce8693a98c268","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:04:58.567527Z","signature_b64":"Rv5+XDRpuH3T6+oZITDJkKJHy7YZqPne6EZOYLv/EI2ahW9inA7o+F7FMIqodQnTNkC1mluyRHTITj9qK4FTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64c8adc5e41b42be34b6496c68d462deb28612397e485393fc5ce8693a98c268","last_reissued_at":"2026-07-05T06:04:58.567177Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:04:58.567177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.13916","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":"2026-07-05T06:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kH7ygFJkcUd1t17Su3tPTgCCizYMlHRJudhzadQGQglX6wZuIQR+6tbSxXw7a9ihGcXAf37XlPp2QLecfJ29Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T03:31:36.883269Z"},"content_sha256":"86e081a21bfb57c0baf531d34646b97883a53a658d5c6e191e0bcbd5ec2ccf8f","schema_version":"1.0","event_id":"sha256:86e081a21bfb57c0baf531d34646b97883a53a658d5c6e191e0bcbd5ec2ccf8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MTEK3RPEDNBL4NFWJFWGRVDC32","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amrit Kumar Muduli, Chen Change Loy, Chongyi Li, Hao Jiang, Jiajun Xiao, Jinwei Gu, Kang Zhang, Kunal Swami, Meiya Chen, Pankaj Kumar Bajpai, Qianhui Sun, Qingpeng Zhu, Ruicheng Feng, Shangchen Zhou, Vikash Kumar, Wenxiu Sun, Yangke Huang, Yi Yu, Yongchao Li, Yuekun Dai, Yunchao Ma, Yu Wang, Zhi Ling","submitted_at":"2023-04-27T02:00:04Z","abstract_excerpt":"Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completion have relied on stereo vision or structured light techniques, recent advances in deep learning have enabled more accurate and efficient completion of depth maps from RGB images and sparse ToF measurements. To evaluate the performance of different depth completion methods, we organized an RGB+sparse ToF depth completion competition. The competition aimed to encourage research in this area by providing a standardized "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13916","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/2304.13916/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":"2026-07-05T06:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K42zk8kddImKyerGn61jPbGFHGq+FyukWUSgVgvQT2wWMN6EbrNhXqtw1iwycOH5PjJyIPUXk6KEq+62WIL4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T03:31:36.883670Z"},"content_sha256":"2768fea2f4e21409e2c63b010e5e097bb64f9afdc2ead81009b77b63c6ec60bb","schema_version":"1.0","event_id":"sha256:2768fea2f4e21409e2c63b010e5e097bb64f9afdc2ead81009b77b63c6ec60bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/bundle.json","state_url":"https://pith.science/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/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":"2026-07-26T03:31:36Z","links":{"resolver":"https://pith.science/pith/MTEK3RPEDNBL4NFWJFWGRVDC32","bundle":"https://pith.science/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/bundle.json","state":"https://pith.science/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MTEK3RPEDNBL4NFWJFWGRVDC32/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MTEK3RPEDNBL4NFWJFWGRVDC32","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":"7afc1d3b313507a546cadf6f5c43968215d908b89d323603520727234849c6f4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-27T02:00:04Z","title_canon_sha256":"4184af5f2b53c70664abf982284571f2b80a4aea691ee8c2eb87370e9d87687e"},"schema_version":"1.0","source":{"id":"2304.13916","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13916","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13916v1","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13916","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"MTEK3RPEDNBL","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"MTEK3RPEDNBL4NFW","created_at":"2026-07-05T06:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"MTEK3RPE","created_at":"2026-07-05T06:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:2768fea2f4e21409e2c63b010e5e097bb64f9afdc2ead81009b77b63c6ec60bb","target":"graph","created_at":"2026-07-05T06:04:58Z","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/2304.13916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completion have relied on stereo vision or structured light techniques, recent advances in deep learning have enabled more accurate and efficient completion of depth maps from RGB images and sparse ToF measurements. To evaluate the performance of different depth completion methods, we organized an RGB+sparse ToF depth completion competition. The competition aimed to encourage research in this area by providing a standardized ","authors_text":"Amrit Kumar Muduli, Chen Change Loy, Chongyi Li, Hao Jiang, Jiajun Xiao, Jinwei Gu, Kang Zhang, Kunal Swami, Meiya Chen, Pankaj Kumar Bajpai, Qianhui Sun, Qingpeng Zhu, Ruicheng Feng, Shangchen Zhou, Vikash Kumar, Wenxiu Sun, Yangke Huang, Yi Yu, Yongchao Li, Yuekun Dai, Yunchao Ma, Yu Wang, Zhi Ling","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-27T02:00:04Z","title":"MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13916","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":"sha256:86e081a21bfb57c0baf531d34646b97883a53a658d5c6e191e0bcbd5ec2ccf8f","target":"record","created_at":"2026-07-05T06:04:58Z","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":"7afc1d3b313507a546cadf6f5c43968215d908b89d323603520727234849c6f4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-27T02:00:04Z","title_canon_sha256":"4184af5f2b53c70664abf982284571f2b80a4aea691ee8c2eb87370e9d87687e"},"schema_version":"1.0","source":{"id":"2304.13916","kind":"arxiv","version":1}},"canonical_sha256":"64c8adc5e41b42be34b6496c68d462deb28612397e485393fc5ce8693a98c268","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64c8adc5e41b42be34b6496c68d462deb28612397e485393fc5ce8693a98c268","first_computed_at":"2026-07-05T06:04:58.567177Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:04:58.567177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rv5+XDRpuH3T6+oZITDJkKJHy7YZqPne6EZOYLv/EI2ahW9inA7o+F7FMIqodQnTNkC1mluyRHTITj9qK4FTDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:04:58.567527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.13916","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86e081a21bfb57c0baf531d34646b97883a53a658d5c6e191e0bcbd5ec2ccf8f","sha256:2768fea2f4e21409e2c63b010e5e097bb64f9afdc2ead81009b77b63c6ec60bb"],"state_sha256":"7ebb1af9c41a01f6f89c2db3426dfcc05af06148d2963fb7d8f2c14bf630cf40"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QHA0IgXa3Gb4vgUrHwlw+249MlnGZ2VSmfz9hwWMceEKWjzdESZtan4Tnv7dDy6EHkdQ7dZMf2GMwXelQQmxDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T03:31:36.885913Z","bundle_sha256":"b7474d1ba5c44f636d718b6ae1a6bca06fc088e16e16c9f02d0d98f00633d35c"}}