{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:D27I63ZS3EXLMVMNJIVVCSV4HB","short_pith_number":"pith:D27I63ZS","canonical_record":{"source":{"id":"2008.08535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-19T16:27:55Z","cross_cats_sorted":[],"title_canon_sha256":"26837f6a722b865784aa992d22b908c9ac896d79c4c20393d218fc30545f8c06","abstract_canon_sha256":"b046852030423055a41ee37184751badae3675864bd6bef946a8c1ab8f19b2bf"},"schema_version":"1.0"},"canonical_sha256":"1ebe8f6f32d92eb6558d4a2b514abc3852e67fb0269f0ea744a6b4a3793f9e05","source":{"kind":"arxiv","id":"2008.08535","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.08535","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"arxiv_version","alias_value":"2008.08535v1","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.08535","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_12","alias_value":"D27I63ZS3EXL","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_16","alias_value":"D27I63ZS3EXLMVMN","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_8","alias_value":"D27I63ZS","created_at":"2026-07-05T01:28:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:D27I63ZS3EXLMVMNJIVVCSV4HB","target":"record","payload":{"canonical_record":{"source":{"id":"2008.08535","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-19T16:27:55Z","cross_cats_sorted":[],"title_canon_sha256":"26837f6a722b865784aa992d22b908c9ac896d79c4c20393d218fc30545f8c06","abstract_canon_sha256":"b046852030423055a41ee37184751badae3675864bd6bef946a8c1ab8f19b2bf"},"schema_version":"1.0"},"canonical_sha256":"1ebe8f6f32d92eb6558d4a2b514abc3852e67fb0269f0ea744a6b4a3793f9e05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:28:26.701274Z","signature_b64":"Kw96Cc3BBg34Q55qTmBf7Fo7z5SWL0Tq5lJ6x/nxWeN1zKu5aoQwKUxxoBhGQFenYaj9eVKKmWunl4k9U7Y1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ebe8f6f32d92eb6558d4a2b514abc3852e67fb0269f0ea744a6b4a3793f9e05","last_reissued_at":"2026-07-05T01:28:26.700874Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:28:26.700874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.08535","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":"2026-07-05T01:28:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DRItTct+cxvThp4KVhboyJCl8Bo9UroEuQe7AL6w8SIZozhn7G2Rs4x0zDMxgSUOFSx6zxPMnZvwp1hYl5SxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T08:34:44.475882Z"},"content_sha256":"d5693f7f1e7207f1f0b7af90330da6cea90cb60d5864fe898ff3e353b0f43221","schema_version":"1.0","event_id":"sha256:d5693f7f1e7207f1f0b7af90330da6cea90cb60d5864fe898ff3e353b0f43221"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:D27I63ZS3EXLMVMNJIVVCSV4HB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STAR: Sparse Trained Articulated Human Body Regressor","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmed A. A. Osman, Michael J. Black, Timo Bolkart","submitted_at":"2020-08-19T16:27:55Z","abstract_excerpt":"The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and shape. While popular, we show that SMPL has several limitations and introduce STAR, which is quantitatively and qualitatively superior to SMPL. First, SMPL has a huge number of parameters resulting from its use of global blend shapes. These dense pose-corrective offsets relate every vertex on the mesh to all the joints in the kinematic tree, capturing spurious long-range correlations. To address this, we define per-joint pose correctives and learn the subset of mesh vertices that are influenced "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.08535","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/2008.08535/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":"2026-07-05T01:28:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z26ROfWFydAxq5YZXvsFN75unkjUdVV6bzGCoGni7cHcsZrrM0ppuMwSfCQKeAH4KSRy6N9JIVTdSTiPICc7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T08:34:44.476259Z"},"content_sha256":"7c00295a12d25742b01852132f5db078b1c8ce0fabbf12f13a61d2c11ba8f768","schema_version":"1.0","event_id":"sha256:7c00295a12d25742b01852132f5db078b1c8ce0fabbf12f13a61d2c11ba8f768"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/bundle.json","state_url":"https://pith.science/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/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":"2026-08-13T08:34:44Z","links":{"resolver":"https://pith.science/pith/D27I63ZS3EXLMVMNJIVVCSV4HB","bundle":"https://pith.science/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/bundle.json","state":"https://pith.science/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D27I63ZS3EXLMVMNJIVVCSV4HB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:D27I63ZS3EXLMVMNJIVVCSV4HB","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":"b046852030423055a41ee37184751badae3675864bd6bef946a8c1ab8f19b2bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-19T16:27:55Z","title_canon_sha256":"26837f6a722b865784aa992d22b908c9ac896d79c4c20393d218fc30545f8c06"},"schema_version":"1.0","source":{"id":"2008.08535","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.08535","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"arxiv_version","alias_value":"2008.08535v1","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.08535","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_12","alias_value":"D27I63ZS3EXL","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_16","alias_value":"D27I63ZS3EXLMVMN","created_at":"2026-07-05T01:28:26Z"},{"alias_kind":"pith_short_8","alias_value":"D27I63ZS","created_at":"2026-07-05T01:28:26Z"}],"graph_snapshots":[{"event_id":"sha256:7c00295a12d25742b01852132f5db078b1c8ce0fabbf12f13a61d2c11ba8f768","target":"graph","created_at":"2026-07-05T01:28:26Z","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/2008.08535/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and shape. While popular, we show that SMPL has several limitations and introduce STAR, which is quantitatively and qualitatively superior to SMPL. First, SMPL has a huge number of parameters resulting from its use of global blend shapes. These dense pose-corrective offsets relate every vertex on the mesh to all the joints in the kinematic tree, capturing spurious long-range correlations. To address this, we define per-joint pose correctives and learn the subset of mesh vertices that are influenced ","authors_text":"Ahmed A. A. Osman, Michael J. Black, Timo Bolkart","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-19T16:27:55Z","title":"STAR: Sparse Trained Articulated Human Body Regressor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.08535","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:d5693f7f1e7207f1f0b7af90330da6cea90cb60d5864fe898ff3e353b0f43221","target":"record","created_at":"2026-07-05T01:28:26Z","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":"b046852030423055a41ee37184751badae3675864bd6bef946a8c1ab8f19b2bf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-19T16:27:55Z","title_canon_sha256":"26837f6a722b865784aa992d22b908c9ac896d79c4c20393d218fc30545f8c06"},"schema_version":"1.0","source":{"id":"2008.08535","kind":"arxiv","version":1}},"canonical_sha256":"1ebe8f6f32d92eb6558d4a2b514abc3852e67fb0269f0ea744a6b4a3793f9e05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ebe8f6f32d92eb6558d4a2b514abc3852e67fb0269f0ea744a6b4a3793f9e05","first_computed_at":"2026-07-05T01:28:26.700874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:28:26.700874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kw96Cc3BBg34Q55qTmBf7Fo7z5SWL0Tq5lJ6x/nxWeN1zKu5aoQwKUxxoBhGQFenYaj9eVKKmWunl4k9U7Y1DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:28:26.701274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.08535","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5693f7f1e7207f1f0b7af90330da6cea90cb60d5864fe898ff3e353b0f43221","sha256:7c00295a12d25742b01852132f5db078b1c8ce0fabbf12f13a61d2c11ba8f768"],"state_sha256":"2317b63e43d389b4cf84652d6e9700ca4a14026297020619d6c1f59df6be14fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D91QjAQaZkRjfP6JZgqyU+tuhYcwBS3uc78Pc4ng8sFoo6Cn61V/9bL79rpjnNKc3Kpjf+rZSGJ2Byywff4fAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T08:34:44.478918Z","bundle_sha256":"b6609d227076bf17b00e13b0bf653b27c9a682bff53bd0f3501e6ccd3e52df43"}}