{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2XNOEY672GKH7ASV5P7ECETA5R","short_pith_number":"pith:2XNOEY67","canonical_record":{"source":{"id":"2203.03317","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T11:52:57Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"421d7347db7c157c2ce4a9c300c1852d98a2b161d00d45c5c05afd13e49e6f44","abstract_canon_sha256":"bd6aaf39bfb7f9d487fc4451bb7b3dcaf82ecf97f8893ba86d02158631ab7793"},"schema_version":"1.0"},"canonical_sha256":"d5dae263dfd1947f8255ebfe411260ec7b7ab054c8b528322524c729a1803b90","source":{"kind":"arxiv","id":"2203.03317","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.03317","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"arxiv_version","alias_value":"2203.03317v2","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.03317","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_12","alias_value":"2XNOEY672GKH","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_16","alias_value":"2XNOEY672GKH7ASV","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_8","alias_value":"2XNOEY67","created_at":"2026-07-05T04:29:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2XNOEY672GKH7ASV5P7ECETA5R","target":"record","payload":{"canonical_record":{"source":{"id":"2203.03317","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T11:52:57Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"421d7347db7c157c2ce4a9c300c1852d98a2b161d00d45c5c05afd13e49e6f44","abstract_canon_sha256":"bd6aaf39bfb7f9d487fc4451bb7b3dcaf82ecf97f8893ba86d02158631ab7793"},"schema_version":"1.0"},"canonical_sha256":"d5dae263dfd1947f8255ebfe411260ec7b7ab054c8b528322524c729a1803b90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:12.576362Z","signature_b64":"8K8vfG/iwp5CFvnHNAos3SPCBkmbM8Tt5qU6cC1SFkN8qzJgQGF8E4BhBBmeBnxP/hLMllHOR661wsrAHGseBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5dae263dfd1947f8255ebfe411260ec7b7ab054c8b528322524c729a1803b90","last_reissued_at":"2026-07-05T04:29:12.575854Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:12.575854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.03317","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:29:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qIUzHaflnRJlxF+fXLrRDiT0aChbwksyonadCt3z8ZEjqpTvlgPLxntLCyWYrfmhyWAPB4+Bz785BSm+bbe/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:10:24.184069Z"},"content_sha256":"696828d314bf0905eb6034bc975bd1732a70327bd4450bc7ac82750d08d0a682","schema_version":"1.0","event_id":"sha256:696828d314bf0905eb6034bc975bd1732a70327bd4450bc7ac82750d08d0a682"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2XNOEY672GKH7ASV5P7ECETA5R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Depth-Independent Depth Completion via Least Square Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Rong Xiong, Xianze Fang, Yue Wang, Yunkai Wang, Zexi Chen","submitted_at":"2022-03-07T11:52:57Z","abstract_excerpt":"The depth completion task aims to complete a per-pixel dense depth map from a sparse depth map. In this paper, we propose an efficient least square based depth-independent method to complete the sparse depth map utilizing the RGB image and the sparse depth map in two independent stages. In this way can we decouple the neural network and the sparse depth input, so that when some features of the sparse depth map change, such as the sparsity, our method can still produce a promising result. Moreover, due to the positional encoding and linear procession in our pipeline, we can easily produce a sup"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.03317","kind":"arxiv","version":2},"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/2203.03317/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":"2026-07-05T04:29:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pR7dcLceqKfwr/2pszO0tOxY74dpyJ+4QQZFPqtE/awjvP8V0HLYQYK/X6YvrfE6jyws6LCtN6IgTi5jMQ1EDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:10:24.184466Z"},"content_sha256":"1311137d0f7f9a7457113563846e29fa10bc2fc29991b2eea5c76595a5dd5853","schema_version":"1.0","event_id":"sha256:1311137d0f7f9a7457113563846e29fa10bc2fc29991b2eea5c76595a5dd5853"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2XNOEY672GKH7ASV5P7ECETA5R/bundle.json","state_url":"https://pith.science/pith/2XNOEY672GKH7ASV5P7ECETA5R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2XNOEY672GKH7ASV5P7ECETA5R/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":"2026-07-06T23:10:24Z","links":{"resolver":"https://pith.science/pith/2XNOEY672GKH7ASV5P7ECETA5R","bundle":"https://pith.science/pith/2XNOEY672GKH7ASV5P7ECETA5R/bundle.json","state":"https://pith.science/pith/2XNOEY672GKH7ASV5P7ECETA5R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2XNOEY672GKH7ASV5P7ECETA5R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2XNOEY672GKH7ASV5P7ECETA5R","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":"bd6aaf39bfb7f9d487fc4451bb7b3dcaf82ecf97f8893ba86d02158631ab7793","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T11:52:57Z","title_canon_sha256":"421d7347db7c157c2ce4a9c300c1852d98a2b161d00d45c5c05afd13e49e6f44"},"schema_version":"1.0","source":{"id":"2203.03317","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.03317","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"arxiv_version","alias_value":"2203.03317v2","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.03317","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_12","alias_value":"2XNOEY672GKH","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_16","alias_value":"2XNOEY672GKH7ASV","created_at":"2026-07-05T04:29:12Z"},{"alias_kind":"pith_short_8","alias_value":"2XNOEY67","created_at":"2026-07-05T04:29:12Z"}],"graph_snapshots":[{"event_id":"sha256:1311137d0f7f9a7457113563846e29fa10bc2fc29991b2eea5c76595a5dd5853","target":"graph","created_at":"2026-07-05T04:29:12Z","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/2203.03317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The depth completion task aims to complete a per-pixel dense depth map from a sparse depth map. In this paper, we propose an efficient least square based depth-independent method to complete the sparse depth map utilizing the RGB image and the sparse depth map in two independent stages. In this way can we decouple the neural network and the sparse depth input, so that when some features of the sparse depth map change, such as the sparsity, our method can still produce a promising result. Moreover, due to the positional encoding and linear procession in our pipeline, we can easily produce a sup","authors_text":"Rong Xiong, Xianze Fang, Yue Wang, Yunkai Wang, Zexi Chen","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T11:52:57Z","title":"Depth-Independent Depth Completion via Least Square Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.03317","kind":"arxiv","version":2},"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":"sha256:696828d314bf0905eb6034bc975bd1732a70327bd4450bc7ac82750d08d0a682","target":"record","created_at":"2026-07-05T04:29:12Z","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":"bd6aaf39bfb7f9d487fc4451bb7b3dcaf82ecf97f8893ba86d02158631ab7793","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-07T11:52:57Z","title_canon_sha256":"421d7347db7c157c2ce4a9c300c1852d98a2b161d00d45c5c05afd13e49e6f44"},"schema_version":"1.0","source":{"id":"2203.03317","kind":"arxiv","version":2}},"canonical_sha256":"d5dae263dfd1947f8255ebfe411260ec7b7ab054c8b528322524c729a1803b90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5dae263dfd1947f8255ebfe411260ec7b7ab054c8b528322524c729a1803b90","first_computed_at":"2026-07-05T04:29:12.575854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:29:12.575854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8K8vfG/iwp5CFvnHNAos3SPCBkmbM8Tt5qU6cC1SFkN8qzJgQGF8E4BhBBmeBnxP/hLMllHOR661wsrAHGseBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:29:12.576362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.03317","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:696828d314bf0905eb6034bc975bd1732a70327bd4450bc7ac82750d08d0a682","sha256:1311137d0f7f9a7457113563846e29fa10bc2fc29991b2eea5c76595a5dd5853"],"state_sha256":"717364adfb451b2e1ca7eac2f3edfeb54c84491c57f4bad8a43c69f7ee70a78c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3zF6vpabrnT3vXS+Z7XL7+qdWt4duL7Fg/zGwdBCoB4QZsvmlaMA7xaRPz8uNmqJFo+iigAU8+bG9mONJ3VKDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:10:24.186454Z","bundle_sha256":"b939f10e1af97845a06244570a6c5f288a885036cc75f6a4679e422c7fa7aad3"}}