{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2X7AGLUDGAZ3PJN7CQCOKBAHV7","short_pith_number":"pith:2X7AGLUD","canonical_record":{"source":{"id":"2204.11015","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-23T08:11:33Z","cross_cats_sorted":[],"title_canon_sha256":"045474a77b6c567398ed68c62a5cf5ca9739bbc96a58810c305358f02b411538","abstract_canon_sha256":"393b37219c79ba6f5cc1b446331389933049bf7f88d834a9d561df7437ba5902"},"schema_version":"1.0"},"canonical_sha256":"d5fe032e833033b7a5bf1404e50407afe493fb3cdb3e7d53a832bf013f3703b1","source":{"kind":"arxiv","id":"2204.11015","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.11015","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"arxiv_version","alias_value":"2204.11015v1","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.11015","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_12","alias_value":"2X7AGLUDGAZ3","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_16","alias_value":"2X7AGLUDGAZ3PJN7","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_8","alias_value":"2X7AGLUD","created_at":"2026-07-05T04:17:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2X7AGLUDGAZ3PJN7CQCOKBAHV7","target":"record","payload":{"canonical_record":{"source":{"id":"2204.11015","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-23T08:11:33Z","cross_cats_sorted":[],"title_canon_sha256":"045474a77b6c567398ed68c62a5cf5ca9739bbc96a58810c305358f02b411538","abstract_canon_sha256":"393b37219c79ba6f5cc1b446331389933049bf7f88d834a9d561df7437ba5902"},"schema_version":"1.0"},"canonical_sha256":"d5fe032e833033b7a5bf1404e50407afe493fb3cdb3e7d53a832bf013f3703b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:17:06.134372Z","signature_b64":"JXvqcjTw6wOp9jZtxwY15ACjLXPPbW8hSskuczs2IAaGB1sQh1BY0KSNJmcSiC7iOhQbuBl3C7f3jDVT+DD3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5fe032e833033b7a5bf1404e50407afe493fb3cdb3e7d53a832bf013f3703b1","last_reissued_at":"2026-07-05T04:17:06.134005Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:17:06.134005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.11015","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":"2026-07-05T04:17:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fCLOpSwMIIlEiOf+lHRhuziFya8CMlpp1rCa8ahlzRajvHrdUvVxVnqwf0XZgZGUfik6ht4EGBbmwr5TDQo6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:55:30.748437Z"},"content_sha256":"fb54e4e4a7c9126b347c8d97b4fe85de1a5a13ae26451cd538cd79af170945c8","schema_version":"1.0","event_id":"sha256:fb54e4e4a7c9126b347c8d97b4fe85de1a5a13ae26451cd538cd79af170945c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2X7AGLUDGAZ3PJN7CQCOKBAHV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Surface Reconstruction from Point Clouds by Learning Predictive Context Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baorui Ma, Matthias Zwicker, Yu-Shen Liu, Zhizhong Han","submitted_at":"2022-04-23T08:11:33Z","abstract_excerpt":"Surface reconstruction from point clouds is vital for 3D computer vision. State-of-the-art methods leverage large datasets to first learn local context priors that are represented as neural network-based signed distance functions (SDFs) with some parameters encoding the local contexts. To reconstruct a surface at a specific query location at inference time, these methods then match the local reconstruction target by searching for the best match in the local prior space (by optimizing the parameters encoding the local context) at the given query location. However, this requires the local contex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.11015","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/2204.11015/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":"2026-07-05T04:17:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a0N0CC2R+z9z7sl1akBT53BQoFI8Qu8/WaqWhXZhzHqKoLbiTenUbF7UCL9mn4kEFhVffWNqp6i5f6IIlXyCCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:55:30.748940Z"},"content_sha256":"dcaf1094f2bdff9dd80c95ef84098b1ebb0c4910eba56872ddff005a8ee23efc","schema_version":"1.0","event_id":"sha256:dcaf1094f2bdff9dd80c95ef84098b1ebb0c4910eba56872ddff005a8ee23efc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/bundle.json","state_url":"https://pith.science/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/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":"2026-08-03T15:55:30Z","links":{"resolver":"https://pith.science/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7","bundle":"https://pith.science/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/bundle.json","state":"https://pith.science/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2X7AGLUDGAZ3PJN7CQCOKBAHV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2X7AGLUDGAZ3PJN7CQCOKBAHV7","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":"393b37219c79ba6f5cc1b446331389933049bf7f88d834a9d561df7437ba5902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-23T08:11:33Z","title_canon_sha256":"045474a77b6c567398ed68c62a5cf5ca9739bbc96a58810c305358f02b411538"},"schema_version":"1.0","source":{"id":"2204.11015","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.11015","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"arxiv_version","alias_value":"2204.11015v1","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.11015","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_12","alias_value":"2X7AGLUDGAZ3","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_16","alias_value":"2X7AGLUDGAZ3PJN7","created_at":"2026-07-05T04:17:06Z"},{"alias_kind":"pith_short_8","alias_value":"2X7AGLUD","created_at":"2026-07-05T04:17:06Z"}],"graph_snapshots":[{"event_id":"sha256:dcaf1094f2bdff9dd80c95ef84098b1ebb0c4910eba56872ddff005a8ee23efc","target":"graph","created_at":"2026-07-05T04:17:06Z","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/2204.11015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surface reconstruction from point clouds is vital for 3D computer vision. State-of-the-art methods leverage large datasets to first learn local context priors that are represented as neural network-based signed distance functions (SDFs) with some parameters encoding the local contexts. To reconstruct a surface at a specific query location at inference time, these methods then match the local reconstruction target by searching for the best match in the local prior space (by optimizing the parameters encoding the local context) at the given query location. However, this requires the local contex","authors_text":"Baorui Ma, Matthias Zwicker, Yu-Shen Liu, Zhizhong Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-23T08:11:33Z","title":"Surface Reconstruction from Point Clouds by Learning Predictive Context Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.11015","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:fb54e4e4a7c9126b347c8d97b4fe85de1a5a13ae26451cd538cd79af170945c8","target":"record","created_at":"2026-07-05T04:17:06Z","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":"393b37219c79ba6f5cc1b446331389933049bf7f88d834a9d561df7437ba5902","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-23T08:11:33Z","title_canon_sha256":"045474a77b6c567398ed68c62a5cf5ca9739bbc96a58810c305358f02b411538"},"schema_version":"1.0","source":{"id":"2204.11015","kind":"arxiv","version":1}},"canonical_sha256":"d5fe032e833033b7a5bf1404e50407afe493fb3cdb3e7d53a832bf013f3703b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5fe032e833033b7a5bf1404e50407afe493fb3cdb3e7d53a832bf013f3703b1","first_computed_at":"2026-07-05T04:17:06.134005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:06.134005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JXvqcjTw6wOp9jZtxwY15ACjLXPPbW8hSskuczs2IAaGB1sQh1BY0KSNJmcSiC7iOhQbuBl3C7f3jDVT+DD3AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:06.134372Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.11015","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb54e4e4a7c9126b347c8d97b4fe85de1a5a13ae26451cd538cd79af170945c8","sha256:dcaf1094f2bdff9dd80c95ef84098b1ebb0c4910eba56872ddff005a8ee23efc"],"state_sha256":"0e6b45a35e8111cfe84b3ca0681a89bac4c4710ae7c58273294279dc9e9a7bdc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kNZV1c58nNz7IAnulUrHRO32P4ofWNDeLe61vSnG0n7LbETRowomUvkmuWc4Qa/mI3+9/lTZ7HqTbCrToi7qCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:55:30.752281Z","bundle_sha256":"5f517594e3470fb453641b59c36949816ebc4adfc0055a8fc242e99dbdeec65c"}}