{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:6RCQQ7WEMK5V2NC632SZWVUCOY","short_pith_number":"pith:6RCQQ7WE","canonical_record":{"source":{"id":"1805.07920","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T07:10:59Z","cross_cats_sorted":[],"title_canon_sha256":"938fb71c6bad08c865f634d7803c9f966f0f62a9d20f820b89ac00a0a3fcdf5d","abstract_canon_sha256":"e068ccc7282826541e0aa7e5e6819e5567037609efb02b3978eb24226baaa2d9"},"schema_version":"1.0"},"canonical_sha256":"f445087ec462bb5d345edea59b56827625f2173cd91f0ac22c84bb786a6049c7","source":{"kind":"arxiv","id":"1805.07920","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07920","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07920v1","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07920","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"pith_short_12","alias_value":"6RCQQ7WEMK5V","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6RCQQ7WEMK5V2NC6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6RCQQ7WE","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:6RCQQ7WEMK5V2NC632SZWVUCOY","target":"record","payload":{"canonical_record":{"source":{"id":"1805.07920","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T07:10:59Z","cross_cats_sorted":[],"title_canon_sha256":"938fb71c6bad08c865f634d7803c9f966f0f62a9d20f820b89ac00a0a3fcdf5d","abstract_canon_sha256":"e068ccc7282826541e0aa7e5e6819e5567037609efb02b3978eb24226baaa2d9"},"schema_version":"1.0"},"canonical_sha256":"f445087ec462bb5d345edea59b56827625f2173cd91f0ac22c84bb786a6049c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:32.169814Z","signature_b64":"v2iQitnXoaRxAOJGXbLxYUtA8UA/+O5ioRtGQPTVxOv7ZLUnJrXObBKbj3pH6n0wHTPdu1FHy2VVLdA9e8scBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f445087ec462bb5d345edea59b56827625f2173cd91f0ac22c84bb786a6049c7","last_reissued_at":"2026-05-18T00:15:32.169116Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:32.169116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.07920","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":"2026-05-18T00:15:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BO+P9tAM5Ag4s5lZYV1fN9waOvWZDG1kKXfbDEGom5rPtdpGZXy3KfVe4WcIc+z/V+Zx9qflqW/J1JoX/d6mBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:31:33.635978Z"},"content_sha256":"6c05dfa4924b38d9a529c673dfb50a2c9764f2efcc8154e01f66504a15f8272e","schema_version":"1.0","event_id":"sha256:6c05dfa4924b38d9a529c673dfb50a2c9764f2efcc8154e01f66504a15f8272e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:6RCQQ7WEMK5V2NC632SZWVUCOY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qingshan Xu, Wenbing Tao","submitted_at":"2018-05-21T07:10:59Z","abstract_excerpt":"In computer vision domain, how to fast and accurately perform multiview stereo (MVS) is still a challenging problem. In this paper we present a fast yet accurate method for 3D dense reconstruction, called AMHMVS, built on the PatchMatch based stereo algorithm. Different from the regular symmetric propagation scheme, our approach adopts an asymmetric checkerboard propagation strategy, which can adaptively make effective hypotheses expand further according to the confidence of current neighbor hypotheses. In order to aggregate visual information from multiple images better, we propose the multi-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07920","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":""},"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":"2026-05-18T00:15:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27sCailZYL8q4EllmNJ/NGEoCxhiba2Dm7uT/Zkj85nemWs/7skVpTw71mHk88zc/OBO5cu9be8TBR+mCr70Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T08:31:33.636576Z"},"content_sha256":"2b1d9d7ad00eda2443cfa076eadf80c5bc7fc8bc44399bb6e64e64c0b65c5ee9","schema_version":"1.0","event_id":"sha256:2b1d9d7ad00eda2443cfa076eadf80c5bc7fc8bc44399bb6e64e64c0b65c5ee9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/bundle.json","state_url":"https://pith.science/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/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":"2026-06-06T08:31:33Z","links":{"resolver":"https://pith.science/pith/6RCQQ7WEMK5V2NC632SZWVUCOY","bundle":"https://pith.science/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/bundle.json","state":"https://pith.science/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6RCQQ7WEMK5V2NC632SZWVUCOY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:6RCQQ7WEMK5V2NC632SZWVUCOY","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":"e068ccc7282826541e0aa7e5e6819e5567037609efb02b3978eb24226baaa2d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T07:10:59Z","title_canon_sha256":"938fb71c6bad08c865f634d7803c9f966f0f62a9d20f820b89ac00a0a3fcdf5d"},"schema_version":"1.0","source":{"id":"1805.07920","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.07920","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"arxiv_version","alias_value":"1805.07920v1","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07920","created_at":"2026-05-18T00:15:32Z"},{"alias_kind":"pith_short_12","alias_value":"6RCQQ7WEMK5V","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"6RCQQ7WEMK5V2NC6","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"6RCQQ7WE","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:2b1d9d7ad00eda2443cfa076eadf80c5bc7fc8bc44399bb6e64e64c0b65c5ee9","target":"graph","created_at":"2026-05-18T00:15:32Z","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"},"paper":{"abstract_excerpt":"In computer vision domain, how to fast and accurately perform multiview stereo (MVS) is still a challenging problem. In this paper we present a fast yet accurate method for 3D dense reconstruction, called AMHMVS, built on the PatchMatch based stereo algorithm. Different from the regular symmetric propagation scheme, our approach adopts an asymmetric checkerboard propagation strategy, which can adaptively make effective hypotheses expand further according to the confidence of current neighbor hypotheses. In order to aggregate visual information from multiple images better, we propose the multi-","authors_text":"Qingshan Xu, Wenbing Tao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T07:10:59Z","title":"Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07920","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":"sha256:6c05dfa4924b38d9a529c673dfb50a2c9764f2efcc8154e01f66504a15f8272e","target":"record","created_at":"2026-05-18T00:15:32Z","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":"e068ccc7282826541e0aa7e5e6819e5567037609efb02b3978eb24226baaa2d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-21T07:10:59Z","title_canon_sha256":"938fb71c6bad08c865f634d7803c9f966f0f62a9d20f820b89ac00a0a3fcdf5d"},"schema_version":"1.0","source":{"id":"1805.07920","kind":"arxiv","version":1}},"canonical_sha256":"f445087ec462bb5d345edea59b56827625f2173cd91f0ac22c84bb786a6049c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f445087ec462bb5d345edea59b56827625f2173cd91f0ac22c84bb786a6049c7","first_computed_at":"2026-05-18T00:15:32.169116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:15:32.169116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v2iQitnXoaRxAOJGXbLxYUtA8UA/+O5ioRtGQPTVxOv7ZLUnJrXObBKbj3pH6n0wHTPdu1FHy2VVLdA9e8scBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:15:32.169814Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.07920","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c05dfa4924b38d9a529c673dfb50a2c9764f2efcc8154e01f66504a15f8272e","sha256:2b1d9d7ad00eda2443cfa076eadf80c5bc7fc8bc44399bb6e64e64c0b65c5ee9"],"state_sha256":"9641f293c8061a4533c5d29caab14966c7d73e56071a0d0c9d1de6ba170e6fd0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6lfoIOhgzODHecaxSAbaey76IQBRtDIho2zYfcIgn7cbcOHuU/96KaiRqMRMnSAeNjFipW6BjQUNzxKBv8jXCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T08:31:33.639274Z","bundle_sha256":"c41523efea0b610c11348ac98d74b12484bf9d317a5308dd8b5dca8707fbaa5a"}}