{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:G7YITDLCVU5MJMFQ2FIWIEV46C","short_pith_number":"pith:G7YITDLC","canonical_record":{"source":{"id":"2311.02601","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T08:57:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"717eb727211c5fcc58dc6800e535eaa3c8729cbfce1c8fa1c49ea6346c0ad657","abstract_canon_sha256":"2e8694d668cc1d458354af18b24356f562afc59bd90044654245c34b16307137"},"schema_version":"1.0"},"canonical_sha256":"37f0898d62ad3ac4b0b0d1516412bcf0aedfc992cc0ec885538f1b3e5969429b","source":{"kind":"arxiv","id":"2311.02601","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02601","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02601v1","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02601","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"G7YITDLCVU5M","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"G7YITDLCVU5MJMFQ","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"G7YITDLC","created_at":"2026-07-05T07:09:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:G7YITDLCVU5MJMFQ2FIWIEV46C","target":"record","payload":{"canonical_record":{"source":{"id":"2311.02601","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T08:57:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"717eb727211c5fcc58dc6800e535eaa3c8729cbfce1c8fa1c49ea6346c0ad657","abstract_canon_sha256":"2e8694d668cc1d458354af18b24356f562afc59bd90044654245c34b16307137"},"schema_version":"1.0"},"canonical_sha256":"37f0898d62ad3ac4b0b0d1516412bcf0aedfc992cc0ec885538f1b3e5969429b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:15.415170Z","signature_b64":"iWZRf71nrdiToX4eNzgftU+X+P6phCaV9OxFDJXRavRPu/lLRr76cnLTGp/oMPczAKk8JH1I+9nH+69ZjOwDDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37f0898d62ad3ac4b0b0d1516412bcf0aedfc992cc0ec885538f1b3e5969429b","last_reissued_at":"2026-07-05T07:09:15.414674Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:15.414674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.02601","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":"2026-07-05T07:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PvY1R9QwI6oQ8kknwH9yQ8MkUD6oVsTxneTSqP/34ghlNAnCHCvCkwuBOGXQhzrZrG7x3LAwKM9n2jeX2uvJDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:24:08.696368Z"},"content_sha256":"41e4276ddc9393d1639078381dc480e736c9151bf278d434ca868012a07e48f0","schema_version":"1.0","event_id":"sha256:41e4276ddc9393d1639078381dc480e736c9151bf278d434ca868012a07e48f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:G7YITDLCVU5MJMFQ2FIWIEV46C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Jinya Sakurai, Ryo Furukawa, Ryutaro Yamauchi, Tatsushi Matsubayashi","submitted_at":"2023-11-05T08:57:22Z","abstract_excerpt":"Reconstructing a continuous surface from an unoritented 3D point cloud is a fundamental task in 3D shape processing. In recent years, several methods have been proposed to address this problem using implicit neural representations (INRs). In this study, we propose a method to optimize INRs using energy-based models (EBMs). By employing the absolute value of the coordinate-based neural networks as the energy function, the INR can be optimized through the estimation of the point cloud distribution by the EBM. In addition, appropriate parameter settings of the EBM enable the model to consider the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02601","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.02601/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":"2026-07-05T07:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6e1AvK7CwBjc7uL/iqZW0GszyEX+mGJcIPe5EqJHMBflIHOlN/qMzH4VgG+m4evCc2STOAXGzzKS6AVO44uOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T01:24:08.696862Z"},"content_sha256":"8024fefe974d708d6b7115b4c4148c6795598e42606825a3cb58555aeeae7a5c","schema_version":"1.0","event_id":"sha256:8024fefe974d708d6b7115b4c4148c6795598e42606825a3cb58555aeeae7a5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/bundle.json","state_url":"https://pith.science/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/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":"2026-08-20T01:24:08Z","links":{"resolver":"https://pith.science/pith/G7YITDLCVU5MJMFQ2FIWIEV46C","bundle":"https://pith.science/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/bundle.json","state":"https://pith.science/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G7YITDLCVU5MJMFQ2FIWIEV46C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:G7YITDLCVU5MJMFQ2FIWIEV46C","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":"2e8694d668cc1d458354af18b24356f562afc59bd90044654245c34b16307137","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T08:57:22Z","title_canon_sha256":"717eb727211c5fcc58dc6800e535eaa3c8729cbfce1c8fa1c49ea6346c0ad657"},"schema_version":"1.0","source":{"id":"2311.02601","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.02601","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2311.02601v1","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.02601","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"G7YITDLCVU5M","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"G7YITDLCVU5MJMFQ","created_at":"2026-07-05T07:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"G7YITDLC","created_at":"2026-07-05T07:09:15Z"}],"graph_snapshots":[{"event_id":"sha256:8024fefe974d708d6b7115b4c4148c6795598e42606825a3cb58555aeeae7a5c","target":"graph","created_at":"2026-07-05T07:09:15Z","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/2311.02601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing a continuous surface from an unoritented 3D point cloud is a fundamental task in 3D shape processing. In recent years, several methods have been proposed to address this problem using implicit neural representations (INRs). In this study, we propose a method to optimize INRs using energy-based models (EBMs). By employing the absolute value of the coordinate-based neural networks as the energy function, the INR can be optimized through the estimation of the point cloud distribution by the EBM. In addition, appropriate parameter settings of the EBM enable the model to consider the","authors_text":"Jinya Sakurai, Ryo Furukawa, Ryutaro Yamauchi, Tatsushi Matsubayashi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T08:57:22Z","title":"Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.02601","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":"sha256:41e4276ddc9393d1639078381dc480e736c9151bf278d434ca868012a07e48f0","target":"record","created_at":"2026-07-05T07:09:15Z","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":"2e8694d668cc1d458354af18b24356f562afc59bd90044654245c34b16307137","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-05T08:57:22Z","title_canon_sha256":"717eb727211c5fcc58dc6800e535eaa3c8729cbfce1c8fa1c49ea6346c0ad657"},"schema_version":"1.0","source":{"id":"2311.02601","kind":"arxiv","version":1}},"canonical_sha256":"37f0898d62ad3ac4b0b0d1516412bcf0aedfc992cc0ec885538f1b3e5969429b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37f0898d62ad3ac4b0b0d1516412bcf0aedfc992cc0ec885538f1b3e5969429b","first_computed_at":"2026-07-05T07:09:15.414674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:09:15.414674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iWZRf71nrdiToX4eNzgftU+X+P6phCaV9OxFDJXRavRPu/lLRr76cnLTGp/oMPczAKk8JH1I+9nH+69ZjOwDDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:09:15.415170Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.02601","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41e4276ddc9393d1639078381dc480e736c9151bf278d434ca868012a07e48f0","sha256:8024fefe974d708d6b7115b4c4148c6795598e42606825a3cb58555aeeae7a5c"],"state_sha256":"be6811be9ba4f52cac51a3c5bfc42e933b824163de50c769cb6f10d81df90acc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JSCW5LRXHTPHu4pAlr6ac9epzSUuuESgkWLXAU0FkUPzWAZSDtsDKX4V3xEV5BT93RVfC/gTWM9Gayp0KjBeDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T01:24:08.700978Z","bundle_sha256":"8d0df6c41b30482c066605228a962710cf18eaca02390a2b22bd1cde171d9e36"}}