{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:HEFNIOGAQDNCBSK7FZMR3PR2BU","short_pith_number":"pith:HEFNIOGA","canonical_record":{"source":{"id":"2009.03298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-07T17:58:27Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"7c6c9f79586d115cecc7b3034b8ea612bc3f267c279c4a7cf0a9c2db1c9252c9","abstract_canon_sha256":"dd180ba5a099ed3b6a52cbd8c0503a86b39434f08fe5641818e742120d982659"},"schema_version":"1.0"},"canonical_sha256":"390ad438c080da20c95f2e591dbe3a0d3ea8904db90bd319e8fe11964563ee16","source":{"kind":"arxiv","id":"2009.03298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.03298","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.03298v1","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.03298","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_12","alias_value":"HEFNIOGAQDNC","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_16","alias_value":"HEFNIOGAQDNCBSK7","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_8","alias_value":"HEFNIOGA","created_at":"2026-07-05T01:33:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:HEFNIOGAQDNCBSK7FZMR3PR2BU","target":"record","payload":{"canonical_record":{"source":{"id":"2009.03298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-07T17:58:27Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"7c6c9f79586d115cecc7b3034b8ea612bc3f267c279c4a7cf0a9c2db1c9252c9","abstract_canon_sha256":"dd180ba5a099ed3b6a52cbd8c0503a86b39434f08fe5641818e742120d982659"},"schema_version":"1.0"},"canonical_sha256":"390ad438c080da20c95f2e591dbe3a0d3ea8904db90bd319e8fe11964563ee16","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:33:31.838943Z","signature_b64":"uCO5m9Ta7+FlFQ9DLW8V/9HWC3oNMfaDK3pREpxcypOvYf5NtexVh9c7MNuueKjEBgHcmBqSptz+3u7cCnM5Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"390ad438c080da20c95f2e591dbe3a0d3ea8904db90bd319e8fe11964563ee16","last_reissued_at":"2026-07-05T01:33:31.838550Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:33:31.838550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2009.03298","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":"2026-07-05T01:33:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WZS9V8FD67lIWeXq4kp4SGkj+MDgFLG+44mVJoAUvoeAQlxXjDXNIUQTYduUvgR4ofsWK8uDjRWzqXYodilsAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:58:57.556021Z"},"content_sha256":"fef6dcaa98e4142b0ae2e2d0522bef831b5eb2192c66ce1afa0ad19996140575","schema_version":"1.0","event_id":"sha256:fef6dcaa98e4142b0ae2e2d0522bef831b5eb2192c66ce1afa0ad19996140575"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:HEFNIOGAQDNCBSK7FZMR3PR2BU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improved Modeling of 3D Shapes with Multi-view Depth Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Abhinav Shrivastava, Kamal Gupta, Ketul Shah, Matthias Zwicker, Susmija Jabbireddy","submitted_at":"2020-09-07T17:58:27Z","abstract_excerpt":"We present a simple yet effective general-purpose framework for modeling 3D shapes by leveraging recent advances in 2D image generation using CNNs. Using just a single depth image of the object, we can output a dense multi-view depth map representation of 3D objects. Our simple encoder-decoder framework, comprised of a novel identity encoder and class-conditional viewpoint generator, generates 3D consistent depth maps. Our experimental results demonstrate the two-fold advantage of our approach. First, we can directly borrow architectures that work well in the 2D image domain to 3D. Second, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.03298","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/2009.03298/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":"2026-07-05T01:33:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ttZW/MX9W2njhvTJNdy/Y8JXna82G2r1ljQo7m6NH3xaueE+CSB/6eSIfYpAy4kRhd3fVOZG4IrkQbOla8rbCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:58:57.556727Z"},"content_sha256":"7a245c41b4ed1354d12bb86e10c5ac2edb3ddec6c7e63b4a67dc290da8ff2470","schema_version":"1.0","event_id":"sha256:7a245c41b4ed1354d12bb86e10c5ac2edb3ddec6c7e63b4a67dc290da8ff2470"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/bundle.json","state_url":"https://pith.science/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/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":"2026-08-05T22:58:57Z","links":{"resolver":"https://pith.science/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU","bundle":"https://pith.science/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/bundle.json","state":"https://pith.science/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HEFNIOGAQDNCBSK7FZMR3PR2BU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HEFNIOGAQDNCBSK7FZMR3PR2BU","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":"dd180ba5a099ed3b6a52cbd8c0503a86b39434f08fe5641818e742120d982659","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-07T17:58:27Z","title_canon_sha256":"7c6c9f79586d115cecc7b3034b8ea612bc3f267c279c4a7cf0a9c2db1c9252c9"},"schema_version":"1.0","source":{"id":"2009.03298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.03298","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"arxiv_version","alias_value":"2009.03298v1","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.03298","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_12","alias_value":"HEFNIOGAQDNC","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_16","alias_value":"HEFNIOGAQDNCBSK7","created_at":"2026-07-05T01:33:31Z"},{"alias_kind":"pith_short_8","alias_value":"HEFNIOGA","created_at":"2026-07-05T01:33:31Z"}],"graph_snapshots":[{"event_id":"sha256:7a245c41b4ed1354d12bb86e10c5ac2edb3ddec6c7e63b4a67dc290da8ff2470","target":"graph","created_at":"2026-07-05T01:33:31Z","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/2009.03298/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a simple yet effective general-purpose framework for modeling 3D shapes by leveraging recent advances in 2D image generation using CNNs. Using just a single depth image of the object, we can output a dense multi-view depth map representation of 3D objects. Our simple encoder-decoder framework, comprised of a novel identity encoder and class-conditional viewpoint generator, generates 3D consistent depth maps. Our experimental results demonstrate the two-fold advantage of our approach. First, we can directly borrow architectures that work well in the 2D image domain to 3D. Second, we ","authors_text":"Abhinav Shrivastava, Kamal Gupta, Ketul Shah, Matthias Zwicker, Susmija Jabbireddy","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-07T17:58:27Z","title":"Improved Modeling of 3D Shapes with Multi-view Depth Maps"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.03298","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:fef6dcaa98e4142b0ae2e2d0522bef831b5eb2192c66ce1afa0ad19996140575","target":"record","created_at":"2026-07-05T01:33:31Z","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":"dd180ba5a099ed3b6a52cbd8c0503a86b39434f08fe5641818e742120d982659","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-07T17:58:27Z","title_canon_sha256":"7c6c9f79586d115cecc7b3034b8ea612bc3f267c279c4a7cf0a9c2db1c9252c9"},"schema_version":"1.0","source":{"id":"2009.03298","kind":"arxiv","version":1}},"canonical_sha256":"390ad438c080da20c95f2e591dbe3a0d3ea8904db90bd319e8fe11964563ee16","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"390ad438c080da20c95f2e591dbe3a0d3ea8904db90bd319e8fe11964563ee16","first_computed_at":"2026-07-05T01:33:31.838550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:33:31.838550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uCO5m9Ta7+FlFQ9DLW8V/9HWC3oNMfaDK3pREpxcypOvYf5NtexVh9c7MNuueKjEBgHcmBqSptz+3u7cCnM5Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:33:31.838943Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.03298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fef6dcaa98e4142b0ae2e2d0522bef831b5eb2192c66ce1afa0ad19996140575","sha256:7a245c41b4ed1354d12bb86e10c5ac2edb3ddec6c7e63b4a67dc290da8ff2470"],"state_sha256":"c3db851a7e56e0ffba0f7828103aa08a5d9d52bb698870821144fa71f56986fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0+Jx8KpoA6b7LU71HUDDadm0exfXK8cFGYB1W32PPJpFRMZuc7EHyWdLyhhxnYQG/JfFjISY/2TMtRp8NRgOCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:58:57.562554Z","bundle_sha256":"bbd2e882de035b2f288cd2b97b8b3f3af18648d9b6aaf691e75638cd410475f1"}}