{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GTKQNZ6YTQ3QNX6DDKDN53DSSW","short_pith_number":"pith:GTKQNZ6Y","canonical_record":{"source":{"id":"2212.00731","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T02:47:18Z","cross_cats_sorted":[],"title_canon_sha256":"ae1190e94efe903a58185c53f979f48bb492fcc6f158afee06e3ef733751a191","abstract_canon_sha256":"db8de93fa8742868cdeeb6c52dc824228b49fe336a8a6b7f479fb0c036ee1e66"},"schema_version":"1.0"},"canonical_sha256":"34d506e7d89c3706dfc31a86deec729595f5e7b6d9117db231e03767f1b27340","source":{"kind":"arxiv","id":"2212.00731","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.00731","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"arxiv_version","alias_value":"2212.00731v2","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.00731","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_12","alias_value":"GTKQNZ6YTQ3Q","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"GTKQNZ6YTQ3QNX6D","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"GTKQNZ6Y","created_at":"2026-07-05T07:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GTKQNZ6YTQ3QNX6DDKDN53DSSW","target":"record","payload":{"canonical_record":{"source":{"id":"2212.00731","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T02:47:18Z","cross_cats_sorted":[],"title_canon_sha256":"ae1190e94efe903a58185c53f979f48bb492fcc6f158afee06e3ef733751a191","abstract_canon_sha256":"db8de93fa8742868cdeeb6c52dc824228b49fe336a8a6b7f479fb0c036ee1e66"},"schema_version":"1.0"},"canonical_sha256":"34d506e7d89c3706dfc31a86deec729595f5e7b6d9117db231e03767f1b27340","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:29:37.668497Z","signature_b64":"J0lXzXu6F9x9BWJrrnS/sw1GYG+gBp62wJLlj/Anab2PgwnGSHxOLtetO7L5fYiCIhUAiHU6vdccTRyHle14Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34d506e7d89c3706dfc31a86deec729595f5e7b6d9117db231e03767f1b27340","last_reissued_at":"2026-07-05T07:29:37.668009Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:29:37.668009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.00731","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:29:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ivauXlMY77HUkSyxZ5VYJAKtVcElLTzwQCq4wa6YrnTs4fRWdDWwC9GLQ+iFsuMtqXa54Ctamf8IJAz3C9RuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T11:06:16.013978Z"},"content_sha256":"32e20deecc3b2c0daf0d08dd6227fcf21cc4556950c2ebb262b35bb04eb30e1f","schema_version":"1.0","event_id":"sha256:32e20deecc3b2c0daf0d08dd6227fcf21cc4556950c2ebb262b35bb04eb30e1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GTKQNZ6YTQ3QNX6DDKDN53DSSW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FuRPE: Learning Full-body Reconstruction from Part Experts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Xu, Hongyan Liu, Jun He, Kejian Wu, Yuqing Pan, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang","submitted_at":"2022-11-30T02:47:18Z","abstract_excerpt":"In the field of full-body reconstruction, the scarcity of annotated data often impedes the efficacy of prevailing methods. To address this issue, we introduce FuRPE, a novel framework that employs part-experts and an ingenious pseudo ground-truth selection scheme to derive high-quality pseudo labels. These labels, central to our approach, equip our network with the capability to efficiently learn from the available data. Integral to FuRPE is a unique exponential moving average training strategy and expert-derived feature distillation strategy. These novel elements of FuRPE not only serve to fu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.00731","kind":"arxiv","version":2},"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/2212.00731/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":"2026-07-05T07:29:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hP4knbNn+esW2is3gIi936ZWNpK0WwaLcpDOXjjPak4CyybnvoQFcamsE/Bk9POVOwP54JTEDRedbW7IX6CrAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T11:06:16.014686Z"},"content_sha256":"eac1515e5a508b44ce4e82f9db8f66ef54035b4136840eb9aa43387e04887e65","schema_version":"1.0","event_id":"sha256:eac1515e5a508b44ce4e82f9db8f66ef54035b4136840eb9aa43387e04887e65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/bundle.json","state_url":"https://pith.science/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/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":"2026-08-01T11:06:16Z","links":{"resolver":"https://pith.science/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW","bundle":"https://pith.science/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/bundle.json","state":"https://pith.science/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GTKQNZ6YTQ3QNX6DDKDN53DSSW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GTKQNZ6YTQ3QNX6DDKDN53DSSW","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":"db8de93fa8742868cdeeb6c52dc824228b49fe336a8a6b7f479fb0c036ee1e66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T02:47:18Z","title_canon_sha256":"ae1190e94efe903a58185c53f979f48bb492fcc6f158afee06e3ef733751a191"},"schema_version":"1.0","source":{"id":"2212.00731","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.00731","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"arxiv_version","alias_value":"2212.00731v2","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.00731","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_12","alias_value":"GTKQNZ6YTQ3Q","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"GTKQNZ6YTQ3QNX6D","created_at":"2026-07-05T07:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"GTKQNZ6Y","created_at":"2026-07-05T07:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:eac1515e5a508b44ce4e82f9db8f66ef54035b4136840eb9aa43387e04887e65","target":"graph","created_at":"2026-07-05T07:29:37Z","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/2212.00731/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of full-body reconstruction, the scarcity of annotated data often impedes the efficacy of prevailing methods. To address this issue, we introduce FuRPE, a novel framework that employs part-experts and an ingenious pseudo ground-truth selection scheme to derive high-quality pseudo labels. These labels, central to our approach, equip our network with the capability to efficiently learn from the available data. Integral to FuRPE is a unique exponential moving average training strategy and expert-derived feature distillation strategy. These novel elements of FuRPE not only serve to fu","authors_text":"Hao Xu, Hongyan Liu, Jun He, Kejian Wu, Yuqing Pan, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T02:47:18Z","title":"FuRPE: Learning Full-body Reconstruction from Part Experts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.00731","kind":"arxiv","version":2},"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":"sha256:32e20deecc3b2c0daf0d08dd6227fcf21cc4556950c2ebb262b35bb04eb30e1f","target":"record","created_at":"2026-07-05T07:29:37Z","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":"db8de93fa8742868cdeeb6c52dc824228b49fe336a8a6b7f479fb0c036ee1e66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-30T02:47:18Z","title_canon_sha256":"ae1190e94efe903a58185c53f979f48bb492fcc6f158afee06e3ef733751a191"},"schema_version":"1.0","source":{"id":"2212.00731","kind":"arxiv","version":2}},"canonical_sha256":"34d506e7d89c3706dfc31a86deec729595f5e7b6d9117db231e03767f1b27340","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34d506e7d89c3706dfc31a86deec729595f5e7b6d9117db231e03767f1b27340","first_computed_at":"2026-07-05T07:29:37.668009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:29:37.668009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J0lXzXu6F9x9BWJrrnS/sw1GYG+gBp62wJLlj/Anab2PgwnGSHxOLtetO7L5fYiCIhUAiHU6vdccTRyHle14Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:29:37.668497Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.00731","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32e20deecc3b2c0daf0d08dd6227fcf21cc4556950c2ebb262b35bb04eb30e1f","sha256:eac1515e5a508b44ce4e82f9db8f66ef54035b4136840eb9aa43387e04887e65"],"state_sha256":"391445229172ce6321b2132b52e49873f2b821cd32fc84bab460c519a073a36c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d8jFhFif34N14Z6w7cg0jliLy1NVBzpOuNcRgoetCyrwyOhue4hLHnQISOhThABGM4P53I+ImVTmwUfPsVEAAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T11:06:16.021683Z","bundle_sha256":"7afc5ed0208c38f66e692b8bf57fb49f28743e7b08a1f6b0da5a24e2322b8260"}}