{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4RTI6CPFBG7FIZHEM2HUTQCSGK","short_pith_number":"pith:4RTI6CPF","canonical_record":{"source":{"id":"2311.02892","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T05:52:29Z","cross_cats_sorted":[],"title_canon_sha256":"3ecc63ff867329a4e4605bf6665df8de253b387ca70c29e4781122f8b9afa4fa","abstract_canon_sha256":"aec10cbe5b566a055349d0857990bc334ff4d06b73bdeef35f77b9ca27716998"},"schema_version":"1.0"},"canonical_sha256":"e4668f09e509be5464e4668f49c052328e1306ae2ffdc321e0f3b57eb44d89e1","source":{"kind":"arxiv","id":"2311.02892","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02892","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02892v3","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02892","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"4RTI6CPFBG7F","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_16","alias_value":"4RTI6CPFBG7FIZHE","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_8","alias_value":"4RTI6CPF","created_at":"2026-07-05T10:27:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4RTI6CPFBG7FIZHEM2HUTQCSGK","target":"record","payload":{"canonical_record":{"source":{"id":"2311.02892","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T05:52:29Z","cross_cats_sorted":[],"title_canon_sha256":"3ecc63ff867329a4e4605bf6665df8de253b387ca70c29e4781122f8b9afa4fa","abstract_canon_sha256":"aec10cbe5b566a055349d0857990bc334ff4d06b73bdeef35f77b9ca27716998"},"schema_version":"1.0"},"canonical_sha256":"e4668f09e509be5464e4668f49c052328e1306ae2ffdc321e0f3b57eb44d89e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:05.859726Z","signature_b64":"xfj0O7w8+2rcxcUzcWDIKfkta2C0+3k5qV1PK3OY39lhvDJ8m9pwcOnFnUZyHxyNYQOzKNzV0jXyRGHT794zAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4668f09e509be5464e4668f49c052328e1306ae2ffdc321e0f3b57eb44d89e1","last_reissued_at":"2026-07-05T10:27:05.858848Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:05.858848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.02892","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":"2026-07-05T10:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8XcQ39Bakv7ISapcMszS24F5mx7Y54BHod+jWGVMIXAoXmiLDLpKVurPfWNUJd5KOO6IHDwnY7t6FENRWxKQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:11:44.213661Z"},"content_sha256":"829951e8a69cf814fa02a7e408bac7fcd36ec4bf4793c1c6c8aafbe767aa6472","schema_version":"1.0","event_id":"sha256:829951e8a69cf814fa02a7e408bac7fcd36ec4bf4793c1c6c8aafbe767aa6472"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4RTI6CPFBG7FIZHEM2HUTQCSGK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junhui Hou, Qijian Zhang, Yebin Liu, Yingzhi Tang","submitted_at":"2023-11-06T05:52:29Z","abstract_excerpt":"The latest trends in the research field of single-view human reconstruction devote to learning deep implicit functions constrained by explicit body shape priors. Despite the remarkable performance improvements compared with traditional processing pipelines, existing learning approaches still show different aspects of limitations in terms of flexibility, generalizability, robustness, and/or representation capability. To comprehensively address the above issues, in this paper, we investigate an explicit point-based human reconstruction framework called HaP, which adopts point clouds as the inter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02892","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/2311.02892/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":"2026-07-05T10:27:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u00d5hfejUneOw3xIChh+rfbSnyusXURgGr1C+1r/Xjuvgs+xd51Whjogh33xy43KcC4TTwY4ma0Fqko6rtdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:11:44.214166Z"},"content_sha256":"44ce7dc39730c7a36c255b509150b8cb5964ad8fdae955966aa8334fc05a14f6","schema_version":"1.0","event_id":"sha256:44ce7dc39730c7a36c255b509150b8cb5964ad8fdae955966aa8334fc05a14f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/bundle.json","state_url":"https://pith.science/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/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":"2026-08-06T06:11:44Z","links":{"resolver":"https://pith.science/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK","bundle":"https://pith.science/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/bundle.json","state":"https://pith.science/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4RTI6CPFBG7FIZHEM2HUTQCSGK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4RTI6CPFBG7FIZHEM2HUTQCSGK","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":"aec10cbe5b566a055349d0857990bc334ff4d06b73bdeef35f77b9ca27716998","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T05:52:29Z","title_canon_sha256":"3ecc63ff867329a4e4605bf6665df8de253b387ca70c29e4781122f8b9afa4fa"},"schema_version":"1.0","source":{"id":"2311.02892","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02892","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02892v3","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02892","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"4RTI6CPFBG7F","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_16","alias_value":"4RTI6CPFBG7FIZHE","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_8","alias_value":"4RTI6CPF","created_at":"2026-07-05T10:27:05Z"}],"graph_snapshots":[{"event_id":"sha256:44ce7dc39730c7a36c255b509150b8cb5964ad8fdae955966aa8334fc05a14f6","target":"graph","created_at":"2026-07-05T10:27:05Z","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/2311.02892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The latest trends in the research field of single-view human reconstruction devote to learning deep implicit functions constrained by explicit body shape priors. Despite the remarkable performance improvements compared with traditional processing pipelines, existing learning approaches still show different aspects of limitations in terms of flexibility, generalizability, robustness, and/or representation capability. To comprehensively address the above issues, in this paper, we investigate an explicit point-based human reconstruction framework called HaP, which adopts point clouds as the inter","authors_text":"Junhui Hou, Qijian Zhang, Yebin Liu, Yingzhi Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T05:52:29Z","title":"Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02892","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":"sha256:829951e8a69cf814fa02a7e408bac7fcd36ec4bf4793c1c6c8aafbe767aa6472","target":"record","created_at":"2026-07-05T10:27:05Z","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":"aec10cbe5b566a055349d0857990bc334ff4d06b73bdeef35f77b9ca27716998","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-06T05:52:29Z","title_canon_sha256":"3ecc63ff867329a4e4605bf6665df8de253b387ca70c29e4781122f8b9afa4fa"},"schema_version":"1.0","source":{"id":"2311.02892","kind":"arxiv","version":3}},"canonical_sha256":"e4668f09e509be5464e4668f49c052328e1306ae2ffdc321e0f3b57eb44d89e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4668f09e509be5464e4668f49c052328e1306ae2ffdc321e0f3b57eb44d89e1","first_computed_at":"2026-07-05T10:27:05.858848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:05.858848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xfj0O7w8+2rcxcUzcWDIKfkta2C0+3k5qV1PK3OY39lhvDJ8m9pwcOnFnUZyHxyNYQOzKNzV0jXyRGHT794zAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:05.859726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.02892","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:829951e8a69cf814fa02a7e408bac7fcd36ec4bf4793c1c6c8aafbe767aa6472","sha256:44ce7dc39730c7a36c255b509150b8cb5964ad8fdae955966aa8334fc05a14f6"],"state_sha256":"604ea65f9f166aef8d76ac4a5fd1dae144918adec33925abee229676ae5619f7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwo3BC/8HuPKsGMqDQfU7jQsBMW4joJOiufLRTY/nE6Mye7by9wfBMgf1YuFPja7fSjIN0umqs8LX7Oc6V25Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T06:11:44.219280Z","bundle_sha256":"9f64694276207881507f4c2738fd1f0757fcc017037436547ed4cd56a0403a92"}}