{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NJOKKVCC76XT3ZLPE2BAUE3STX","short_pith_number":"pith:NJOKKVCC","canonical_record":{"source":{"id":"2503.23670","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T02:27:02Z","cross_cats_sorted":[],"title_canon_sha256":"6f8525d3476dc7370465d76534053b8766f65bf0f3ea2bb954164dd3f63f78dd","abstract_canon_sha256":"ab22f4bef62284bae4719f629fbf8db8f85245d99e722d8b4a63f0615ee86626"},"schema_version":"1.0"},"canonical_sha256":"6a5ca55442ffaf3de56f26820a13729df55ef4470477c57a2ebd403b63dceaec","source":{"kind":"arxiv","id":"2503.23670","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23670","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23670v2","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23670","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_12","alias_value":"NJOKKVCC76XT","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_16","alias_value":"NJOKKVCC76XT3ZLP","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_8","alias_value":"NJOKKVCC","created_at":"2026-05-26T01:03:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NJOKKVCC76XT3ZLPE2BAUE3STX","target":"record","payload":{"canonical_record":{"source":{"id":"2503.23670","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T02:27:02Z","cross_cats_sorted":[],"title_canon_sha256":"6f8525d3476dc7370465d76534053b8766f65bf0f3ea2bb954164dd3f63f78dd","abstract_canon_sha256":"ab22f4bef62284bae4719f629fbf8db8f85245d99e722d8b4a63f0615ee86626"},"schema_version":"1.0"},"canonical_sha256":"6a5ca55442ffaf3de56f26820a13729df55ef4470477c57a2ebd403b63dceaec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:11.858498Z","signature_b64":"J033I4ReVw9ejpJGI7ydyWwJtiFobXpBOzVQWPHg4vPMFmQUrAdUscqcVi+1gRHJ1k7bshUMpNlqk7+cqoSeCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a5ca55442ffaf3de56f26820a13729df55ef4470477c57a2ebd403b63dceaec","last_reissued_at":"2026-05-26T01:03:11.857737Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:11.857737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.23670","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":"2026-05-26T01:03:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kOXpS9dnaE5Ut3u2KAh7qgQt6DMu62L0HXRqb0bu0axitQALB+NepH+JTlTEqna6Zuxj/OtNrzwh/3m3LAClCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:00:34.233335Z"},"content_sha256":"592ae1650382b707af0821a7192af4c8dc86d582b4329cef8d9bffbed8f1247f","schema_version":"1.0","event_id":"sha256:592ae1650382b707af0821a7192af4c8dc86d582b4329cef8d9bffbed8f1247f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NJOKKVCC76XT3ZLPE2BAUE3STX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Chen, Junsheng Zhou, Takeshi Noda, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han","submitted_at":"2025-03-31T02:27:02Z","abstract_excerpt":"Inferring signed distance functions (SDFs) from sparse point clouds remains a challenge in surface reconstruction. The key lies in the lack of detailed geometric information in sparse point clouds, which is essential for learning a continuous field. To resolve this issue, we present a novel approach that learns a dynamic deformation network to predict SDFs in an end-to-end manner. To parameterize a continuous surface from sparse points, we propose a bijective surface parameterization (BSP) that learns the global shape from local patches. Specifically, we construct a bijective mapping for spars"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23670","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/2503.23670/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":"2026-05-26T01:03:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NU/o3hXibGdjLH330QPhZoV9PafpQFQGMtDwk4A+jldsTlie5HPv0m1t52tl5IeQurwBLjltmUSyf8BLkSUeAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:00:34.234077Z"},"content_sha256":"3f9c39cb674c7b35200e9401b4130cf1e15d171be115a4e7bd75824371d9d9a9","schema_version":"1.0","event_id":"sha256:3f9c39cb674c7b35200e9401b4130cf1e15d171be115a4e7bd75824371d9d9a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/bundle.json","state_url":"https://pith.science/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/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":"2026-05-26T11:00:34Z","links":{"resolver":"https://pith.science/pith/NJOKKVCC76XT3ZLPE2BAUE3STX","bundle":"https://pith.science/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/bundle.json","state":"https://pith.science/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NJOKKVCC76XT3ZLPE2BAUE3STX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NJOKKVCC76XT3ZLPE2BAUE3STX","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":"ab22f4bef62284bae4719f629fbf8db8f85245d99e722d8b4a63f0615ee86626","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T02:27:02Z","title_canon_sha256":"6f8525d3476dc7370465d76534053b8766f65bf0f3ea2bb954164dd3f63f78dd"},"schema_version":"1.0","source":{"id":"2503.23670","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23670","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23670v2","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23670","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_12","alias_value":"NJOKKVCC76XT","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_16","alias_value":"NJOKKVCC76XT3ZLP","created_at":"2026-05-26T01:03:11Z"},{"alias_kind":"pith_short_8","alias_value":"NJOKKVCC","created_at":"2026-05-26T01:03:11Z"}],"graph_snapshots":[{"event_id":"sha256:3f9c39cb674c7b35200e9401b4130cf1e15d171be115a4e7bd75824371d9d9a9","target":"graph","created_at":"2026-05-26T01:03:11Z","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/2503.23670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inferring signed distance functions (SDFs) from sparse point clouds remains a challenge in surface reconstruction. The key lies in the lack of detailed geometric information in sparse point clouds, which is essential for learning a continuous field. To resolve this issue, we present a novel approach that learns a dynamic deformation network to predict SDFs in an end-to-end manner. To parameterize a continuous surface from sparse points, we propose a bijective surface parameterization (BSP) that learns the global shape from local patches. Specifically, we construct a bijective mapping for spars","authors_text":"Chao Chen, Junsheng Zhou, Takeshi Noda, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T02:27:02Z","title":"Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23670","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":"sha256:592ae1650382b707af0821a7192af4c8dc86d582b4329cef8d9bffbed8f1247f","target":"record","created_at":"2026-05-26T01:03:11Z","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":"ab22f4bef62284bae4719f629fbf8db8f85245d99e722d8b4a63f0615ee86626","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-31T02:27:02Z","title_canon_sha256":"6f8525d3476dc7370465d76534053b8766f65bf0f3ea2bb954164dd3f63f78dd"},"schema_version":"1.0","source":{"id":"2503.23670","kind":"arxiv","version":2}},"canonical_sha256":"6a5ca55442ffaf3de56f26820a13729df55ef4470477c57a2ebd403b63dceaec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a5ca55442ffaf3de56f26820a13729df55ef4470477c57a2ebd403b63dceaec","first_computed_at":"2026-05-26T01:03:11.857737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:11.857737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J033I4ReVw9ejpJGI7ydyWwJtiFobXpBOzVQWPHg4vPMFmQUrAdUscqcVi+1gRHJ1k7bshUMpNlqk7+cqoSeCQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:11.858498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23670","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:592ae1650382b707af0821a7192af4c8dc86d582b4329cef8d9bffbed8f1247f","sha256:3f9c39cb674c7b35200e9401b4130cf1e15d171be115a4e7bd75824371d9d9a9"],"state_sha256":"8dbff2fa7c4a33764b89dd106ec16f093465626707797bd3f05e7154063e2c19"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t4+BCD6kS845iRBWGQ3TYnWiMvByeyo5SCKw8MU9RqrLipSEjcq4yYGmVFw7QkkDivQeG6p6hAZLZxF6Td+9Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:00:34.238197Z","bundle_sha256":"f3c5cfae1194d5c2915998b9d80941b00b0583655cbf2a9ac708cf3d2cceec11"}}