{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:6ARGFFG4CWCZZEKVWYNBTXQAWH","short_pith_number":"pith:6ARGFFG4","canonical_record":{"source":{"id":"1603.07254","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-23T16:19:29Z","cross_cats_sorted":[],"title_canon_sha256":"93a28a0a9d4905ac9e5b36508164c68a889b99ee1024ff6c9b3f14c4ea32c637","abstract_canon_sha256":"0c7d18201780aa31425e1f5c5fc899057f3f54f43bc9bbd57d6eb4a373432284"},"schema_version":"1.0"},"canonical_sha256":"f0226294dc15859c9155b61a19de00b1cb32f96ed0a3ce21db94e58ccf21486c","source":{"kind":"arxiv","id":"1603.07254","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.07254","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"arxiv_version","alias_value":"1603.07254v1","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.07254","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"pith_short_12","alias_value":"6ARGFFG4CWCZ","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6ARGFFG4CWCZZEKV","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6ARGFFG4","created_at":"2026-05-18T12:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:6ARGFFG4CWCZZEKVWYNBTXQAWH","target":"record","payload":{"canonical_record":{"source":{"id":"1603.07254","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-23T16:19:29Z","cross_cats_sorted":[],"title_canon_sha256":"93a28a0a9d4905ac9e5b36508164c68a889b99ee1024ff6c9b3f14c4ea32c637","abstract_canon_sha256":"0c7d18201780aa31425e1f5c5fc899057f3f54f43bc9bbd57d6eb4a373432284"},"schema_version":"1.0"},"canonical_sha256":"f0226294dc15859c9155b61a19de00b1cb32f96ed0a3ce21db94e58ccf21486c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:23.961188Z","signature_b64":"N2WBQWZ0aITN8VQi2y80I7NpEPJELVG8eSPQhf1vxHWY2FDaeXZR04K8GdXrPgen/xRItCyszhkc3jcMk8YoBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f0226294dc15859c9155b61a19de00b1cb32f96ed0a3ce21db94e58ccf21486c","last_reissued_at":"2026-05-18T01:18:23.960667Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:23.960667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.07254","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":"2026-05-18T01:18:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J0sG9MtTvqPL6TZ0HoT/51mQpIqjihZcLIU4OgRdFyHzaOAKwXHi6ZE3S2tYsYu8J2R2HJkv0pFICXmivFAjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T21:26:10.175958Z"},"content_sha256":"1dfed89173bf23da10f2cc6424e5d786bb39a054b72771f6c4e506c2e38824a6","schema_version":"1.0","event_id":"sha256:1dfed89173bf23da10f2cc6424e5d786bb39a054b72771f6c4e506c2e38824a6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:6ARGFFG4CWCZZEKVWYNBTXQAWH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gaussian Process Morphable Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christoph Jud, Marcel L\\\"uthi, Thomas Gerig, Thomas Vetter","submitted_at":"2016-03-23T16:19:29Z","abstract_excerpt":"Statistical shape models (SSMs) represent a class of shapes as a normal distribution of point variations, whose parameters are estimated from example shapes. Principal component analysis (PCA) is applied to obtain a low-dimensional representation of the shape variation in terms of the leading principal components. In this paper, we propose a generalization of SSMs, called Gaussian Process Morphable Models (GPMMs). We model the shape variations with a Gaussian process, which we represent using the leading components of its Karhunen-Loeve expansion. To compute the expansion, we make use of an ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.07254","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":""},"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":"2026-05-18T01:18:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kGTk+Zkpn9ZUMZtdh5ckf5DR4QJhBMpo1WjEHvl0KBtIfi5CAqPMAQNOML+pL3A1PQSCE4eltTqPaLcgjICOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T21:26:10.176573Z"},"content_sha256":"ba7c86d0b4f047f120dc11977e2345c9b76d8bc40d50149ebfe1fa4e40f61ee9","schema_version":"1.0","event_id":"sha256:ba7c86d0b4f047f120dc11977e2345c9b76d8bc40d50149ebfe1fa4e40f61ee9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/bundle.json","state_url":"https://pith.science/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/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":"2026-05-23T21:26:10Z","links":{"resolver":"https://pith.science/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH","bundle":"https://pith.science/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/bundle.json","state":"https://pith.science/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6ARGFFG4CWCZZEKVWYNBTXQAWH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:6ARGFFG4CWCZZEKVWYNBTXQAWH","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":"0c7d18201780aa31425e1f5c5fc899057f3f54f43bc9bbd57d6eb4a373432284","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-23T16:19:29Z","title_canon_sha256":"93a28a0a9d4905ac9e5b36508164c68a889b99ee1024ff6c9b3f14c4ea32c637"},"schema_version":"1.0","source":{"id":"1603.07254","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.07254","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"arxiv_version","alias_value":"1603.07254v1","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.07254","created_at":"2026-05-18T01:18:23Z"},{"alias_kind":"pith_short_12","alias_value":"6ARGFFG4CWCZ","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6ARGFFG4CWCZZEKV","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6ARGFFG4","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:ba7c86d0b4f047f120dc11977e2345c9b76d8bc40d50149ebfe1fa4e40f61ee9","target":"graph","created_at":"2026-05-18T01:18:23Z","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"},"paper":{"abstract_excerpt":"Statistical shape models (SSMs) represent a class of shapes as a normal distribution of point variations, whose parameters are estimated from example shapes. Principal component analysis (PCA) is applied to obtain a low-dimensional representation of the shape variation in terms of the leading principal components. In this paper, we propose a generalization of SSMs, called Gaussian Process Morphable Models (GPMMs). We model the shape variations with a Gaussian process, which we represent using the leading components of its Karhunen-Loeve expansion. To compute the expansion, we make use of an ap","authors_text":"Christoph Jud, Marcel L\\\"uthi, Thomas Gerig, Thomas Vetter","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-23T16:19:29Z","title":"Gaussian Process Morphable Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.07254","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":"sha256:1dfed89173bf23da10f2cc6424e5d786bb39a054b72771f6c4e506c2e38824a6","target":"record","created_at":"2026-05-18T01:18:23Z","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":"0c7d18201780aa31425e1f5c5fc899057f3f54f43bc9bbd57d6eb4a373432284","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-03-23T16:19:29Z","title_canon_sha256":"93a28a0a9d4905ac9e5b36508164c68a889b99ee1024ff6c9b3f14c4ea32c637"},"schema_version":"1.0","source":{"id":"1603.07254","kind":"arxiv","version":1}},"canonical_sha256":"f0226294dc15859c9155b61a19de00b1cb32f96ed0a3ce21db94e58ccf21486c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0226294dc15859c9155b61a19de00b1cb32f96ed0a3ce21db94e58ccf21486c","first_computed_at":"2026-05-18T01:18:23.960667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:23.960667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N2WBQWZ0aITN8VQi2y80I7NpEPJELVG8eSPQhf1vxHWY2FDaeXZR04K8GdXrPgen/xRItCyszhkc3jcMk8YoBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:23.961188Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.07254","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dfed89173bf23da10f2cc6424e5d786bb39a054b72771f6c4e506c2e38824a6","sha256:ba7c86d0b4f047f120dc11977e2345c9b76d8bc40d50149ebfe1fa4e40f61ee9"],"state_sha256":"d303072098ab3fa9d354a7f0f73d2eedccf14db156c7d640017af8851fe7909f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p18QFBXLCzr3agaE63wx8j0Fy0AxR31vx1i4tMiGjA6ZeLDnLHndq+vio+ULTyfTBareWbLDdgouglkJZc+1DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T21:26:10.180106Z","bundle_sha256":"87ce6be4c7ffadad4c68ea3e29ac7f6da40a9823ad1d0c63e083e04b050c56c0"}}