{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IBAQ3ASYKC4OQU6J325BERRW4B","short_pith_number":"pith:IBAQ3ASY","canonical_record":{"source":{"id":"2003.08355","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-03-17T04:54:20Z","cross_cats_sorted":["cs.CV","cs.LG","cs.MM"],"title_canon_sha256":"44b5c296d279f67779a81026cb7ebf8f75adcbbb1902f4745a35294ce2732c17","abstract_canon_sha256":"f68a4e5a4e95cb5fca8047c8408a6629c4b9fdc1f47d8e05d15d46852a11485e"},"schema_version":"1.0"},"canonical_sha256":"40410d825850b8e853c9deba124636e07895af236147786c4f69d1ca3453a10b","source":{"kind":"arxiv","id":"2003.08355","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08355","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08355v3","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08355","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_12","alias_value":"IBAQ3ASYKC4O","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_16","alias_value":"IBAQ3ASYKC4OQU6J","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_8","alias_value":"IBAQ3ASY","created_at":"2026-07-05T03:01:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IBAQ3ASYKC4OQU6J325BERRW4B","target":"record","payload":{"canonical_record":{"source":{"id":"2003.08355","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-03-17T04:54:20Z","cross_cats_sorted":["cs.CV","cs.LG","cs.MM"],"title_canon_sha256":"44b5c296d279f67779a81026cb7ebf8f75adcbbb1902f4745a35294ce2732c17","abstract_canon_sha256":"f68a4e5a4e95cb5fca8047c8408a6629c4b9fdc1f47d8e05d15d46852a11485e"},"schema_version":"1.0"},"canonical_sha256":"40410d825850b8e853c9deba124636e07895af236147786c4f69d1ca3453a10b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:01:08.473409Z","signature_b64":"o3pVq+sJUmPJrTuT/aLcioGN8eMYV/8lZGF/J//cqM9cBac7OfDXLYxAixtRYYT3xET5kIr+MSznpTRIi4hkCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40410d825850b8e853c9deba124636e07895af236147786c4f69d1ca3453a10b","last_reissued_at":"2026-07-05T03:01:08.472964Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:01:08.472964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.08355","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:01:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JK5s1kCHqeAgd+sweoatRm2XrrYygnEm9mo4gitRnOV+Jzp61l+YZOV/sfHsKucpCSbOIyHG0RVpDLin4e6NCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:41:01.011773Z"},"content_sha256":"0f76760449deb609ee4f2893d6eb507895f6b15dfdc00340624c140372867f87","schema_version":"1.0","event_id":"sha256:0f76760449deb609ee4f2893d6eb507895f6b15dfdc00340624c140372867f87"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IBAQ3ASYKC4OQU6J325BERRW4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","cs.MM"],"primary_cat":"eess.IV","authors_text":"Qianjiang Hu, Wei Hu, Xiang Gao, Zehua Wang","submitted_at":"2020-03-17T04:54:20Z","abstract_excerpt":"3D dynamic point clouds provide a natural discrete representation of real-world objects or scenes in motion, with a wide range of applications in immersive telepresence, autonomous driving, surveillance, \\etc. Nevertheless, dynamic point clouds are often perturbed by noise due to hardware, software or other causes. While a plethora of methods have been proposed for static point cloud denoising, few efforts are made for the denoising of dynamic point clouds, which is quite challenging due to the irregular sampling patterns both spatially and temporally. In this paper, we represent dynamic point"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08355","kind":"arxiv","version":3},"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/2003.08355/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":"2026-07-05T03:01:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GS95OMItzWgpAemoqhYbh0iXHX/OKZHjv53IQqExFrxcdwEfnCw/NpWJNG00XhP6/6eIlBdMkRzVMVBvv4COBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:41:01.012150Z"},"content_sha256":"2b0c60dd08e2433e5610fbfc4b308852b3e4f526e6a99e9f1c06a9da00592d73","schema_version":"1.0","event_id":"sha256:2b0c60dd08e2433e5610fbfc4b308852b3e4f526e6a99e9f1c06a9da00592d73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IBAQ3ASYKC4OQU6J325BERRW4B/bundle.json","state_url":"https://pith.science/pith/IBAQ3ASYKC4OQU6J325BERRW4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IBAQ3ASYKC4OQU6J325BERRW4B/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":"2026-07-07T14:41:01Z","links":{"resolver":"https://pith.science/pith/IBAQ3ASYKC4OQU6J325BERRW4B","bundle":"https://pith.science/pith/IBAQ3ASYKC4OQU6J325BERRW4B/bundle.json","state":"https://pith.science/pith/IBAQ3ASYKC4OQU6J325BERRW4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IBAQ3ASYKC4OQU6J325BERRW4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IBAQ3ASYKC4OQU6J325BERRW4B","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":"f68a4e5a4e95cb5fca8047c8408a6629c4b9fdc1f47d8e05d15d46852a11485e","cross_cats_sorted":["cs.CV","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-03-17T04:54:20Z","title_canon_sha256":"44b5c296d279f67779a81026cb7ebf8f75adcbbb1902f4745a35294ce2732c17"},"schema_version":"1.0","source":{"id":"2003.08355","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.08355","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"arxiv_version","alias_value":"2003.08355v3","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.08355","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_12","alias_value":"IBAQ3ASYKC4O","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_16","alias_value":"IBAQ3ASYKC4OQU6J","created_at":"2026-07-05T03:01:08Z"},{"alias_kind":"pith_short_8","alias_value":"IBAQ3ASY","created_at":"2026-07-05T03:01:08Z"}],"graph_snapshots":[{"event_id":"sha256:2b0c60dd08e2433e5610fbfc4b308852b3e4f526e6a99e9f1c06a9da00592d73","target":"graph","created_at":"2026-07-05T03:01:08Z","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/2003.08355/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D dynamic point clouds provide a natural discrete representation of real-world objects or scenes in motion, with a wide range of applications in immersive telepresence, autonomous driving, surveillance, \\etc. Nevertheless, dynamic point clouds are often perturbed by noise due to hardware, software or other causes. While a plethora of methods have been proposed for static point cloud denoising, few efforts are made for the denoising of dynamic point clouds, which is quite challenging due to the irregular sampling patterns both spatially and temporally. In this paper, we represent dynamic point","authors_text":"Qianjiang Hu, Wei Hu, Xiang Gao, Zehua Wang","cross_cats":["cs.CV","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-03-17T04:54:20Z","title":"Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.08355","kind":"arxiv","version":3},"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":"sha256:0f76760449deb609ee4f2893d6eb507895f6b15dfdc00340624c140372867f87","target":"record","created_at":"2026-07-05T03:01:08Z","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":"f68a4e5a4e95cb5fca8047c8408a6629c4b9fdc1f47d8e05d15d46852a11485e","cross_cats_sorted":["cs.CV","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-03-17T04:54:20Z","title_canon_sha256":"44b5c296d279f67779a81026cb7ebf8f75adcbbb1902f4745a35294ce2732c17"},"schema_version":"1.0","source":{"id":"2003.08355","kind":"arxiv","version":3}},"canonical_sha256":"40410d825850b8e853c9deba124636e07895af236147786c4f69d1ca3453a10b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40410d825850b8e853c9deba124636e07895af236147786c4f69d1ca3453a10b","first_computed_at":"2026-07-05T03:01:08.472964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:08.472964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o3pVq+sJUmPJrTuT/aLcioGN8eMYV/8lZGF/J//cqM9cBac7OfDXLYxAixtRYYT3xET5kIr+MSznpTRIi4hkCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:08.473409Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.08355","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f76760449deb609ee4f2893d6eb507895f6b15dfdc00340624c140372867f87","sha256:2b0c60dd08e2433e5610fbfc4b308852b3e4f526e6a99e9f1c06a9da00592d73"],"state_sha256":"a3ececb85277f0c68b4640d434ad110e001dd5f54366904408cb2a7d23bf138d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NGMvDL1YqoywqSZ2weYLFCJIWOYiUGyfhxFrxali74Orw7nJR0MhgZIGYAqFMdwGEQVwhOwh7yY8E1N34S5UDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:41:01.014834Z","bundle_sha256":"8d0075c4ba8f0ed7664b2ba33eb9470b5db9197d07437c94fe1c9699964bd255"}}