{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RATQC2B6AEZZFGLTKXNRJPVPRU","short_pith_number":"pith:RATQC2B6","canonical_record":{"source":{"id":"2211.12193","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T11:34:51Z","cross_cats_sorted":[],"title_canon_sha256":"53b0285f19ee426831c907b2728b0eb2eac816783b61677e355d8ccac6cd50c7","abstract_canon_sha256":"2992bbe11ec0d750d0b435ff317a04dd17542e3c2cfa288bfa42c5f66595948c"},"schema_version":"1.0"},"canonical_sha256":"882701683e013392997355db14beaf8d178418d04616a8dbeffb0c562a45187a","source":{"kind":"arxiv","id":"2211.12193","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12193","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12193v2","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12193","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_12","alias_value":"RATQC2B6AEZZ","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_16","alias_value":"RATQC2B6AEZZFGLT","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_8","alias_value":"RATQC2B6","created_at":"2026-07-05T06:33:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RATQC2B6AEZZFGLTKXNRJPVPRU","target":"record","payload":{"canonical_record":{"source":{"id":"2211.12193","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T11:34:51Z","cross_cats_sorted":[],"title_canon_sha256":"53b0285f19ee426831c907b2728b0eb2eac816783b61677e355d8ccac6cd50c7","abstract_canon_sha256":"2992bbe11ec0d750d0b435ff317a04dd17542e3c2cfa288bfa42c5f66595948c"},"schema_version":"1.0"},"canonical_sha256":"882701683e013392997355db14beaf8d178418d04616a8dbeffb0c562a45187a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:33:03.248213Z","signature_b64":"0RNMP3Vzy6jxmwRF4vwmQuvp/ouEC7DLpFWCvE5Bl7bC3szSzqm1VamTZM+VcZbqRXb+VZsOh2GvRn3Z1m1HCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"882701683e013392997355db14beaf8d178418d04616a8dbeffb0c562a45187a","last_reissued_at":"2026-07-05T06:33:03.247730Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:33:03.247730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.12193","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":"2026-07-05T06:33:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"arZXHXAfeCWWBU147SFQJAxUf9dtQPQrKc01xEbI2C6c8hwXZRpBrPQ5rM3ArcQeqM1IwClUZdxzKHO9Cc7oAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T10:56:27.834280Z"},"content_sha256":"d846c163b45d12cf983ef1e5aafaf6882e09f3cac58d1880141a3fabf3cbb822","schema_version":"1.0","event_id":"sha256:d846c163b45d12cf983ef1e5aafaf6882e09f3cac58d1880141a3fabf3cbb822"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RATQC2B6AEZZFGLTKXNRJPVPRU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anatomy-guided domain adaptation for 3D in-bed human pose estimation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Bigalke, Carlotta Hennigs, Jasper Diesel, Lasse Hansen, Mattias P. Heinrich, Philipp Rostalski","submitted_at":"2022-11-22T11:34:51Z","abstract_excerpt":"3D human pose estimation is a key component of clinical monitoring systems. The clinical applicability of deep pose estimation models, however, is limited by their poor generalization under domain shifts along with their need for sufficient labeled training data. As a remedy, we present a novel domain adaptation method, adapting a model from a labeled source to a shifted unlabeled target domain. Our method comprises two complementary adaptation strategies based on prior knowledge about human anatomy. First, we guide the learning process in the target domain by constraining predictions to the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12193","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/2211.12193/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":"2026-07-05T06:33:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oNikN+G8OBtd66qqlT5s+k+mcJhf3HA7AdzqStfHAACd0AR7yKmhcaNdRyojn/IFXYsHJORoePsW+ahdgv7uDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T10:56:27.834687Z"},"content_sha256":"0e86bb02a5f7cde426c8c3daaed09aec601b1b139d122365c755d5f21378b870","schema_version":"1.0","event_id":"sha256:0e86bb02a5f7cde426c8c3daaed09aec601b1b139d122365c755d5f21378b870"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/bundle.json","state_url":"https://pith.science/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/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":"2026-07-16T10:56:27Z","links":{"resolver":"https://pith.science/pith/RATQC2B6AEZZFGLTKXNRJPVPRU","bundle":"https://pith.science/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/bundle.json","state":"https://pith.science/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RATQC2B6AEZZFGLTKXNRJPVPRU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RATQC2B6AEZZFGLTKXNRJPVPRU","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":"2992bbe11ec0d750d0b435ff317a04dd17542e3c2cfa288bfa42c5f66595948c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T11:34:51Z","title_canon_sha256":"53b0285f19ee426831c907b2728b0eb2eac816783b61677e355d8ccac6cd50c7"},"schema_version":"1.0","source":{"id":"2211.12193","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.12193","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.12193v2","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12193","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_12","alias_value":"RATQC2B6AEZZ","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_16","alias_value":"RATQC2B6AEZZFGLT","created_at":"2026-07-05T06:33:03Z"},{"alias_kind":"pith_short_8","alias_value":"RATQC2B6","created_at":"2026-07-05T06:33:03Z"}],"graph_snapshots":[{"event_id":"sha256:0e86bb02a5f7cde426c8c3daaed09aec601b1b139d122365c755d5f21378b870","target":"graph","created_at":"2026-07-05T06:33:03Z","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/2211.12193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D human pose estimation is a key component of clinical monitoring systems. The clinical applicability of deep pose estimation models, however, is limited by their poor generalization under domain shifts along with their need for sufficient labeled training data. As a remedy, we present a novel domain adaptation method, adapting a model from a labeled source to a shifted unlabeled target domain. Our method comprises two complementary adaptation strategies based on prior knowledge about human anatomy. First, we guide the learning process in the target domain by constraining predictions to the s","authors_text":"Alexander Bigalke, Carlotta Hennigs, Jasper Diesel, Lasse Hansen, Mattias P. Heinrich, Philipp Rostalski","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T11:34:51Z","title":"Anatomy-guided domain adaptation for 3D in-bed human pose estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12193","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:d846c163b45d12cf983ef1e5aafaf6882e09f3cac58d1880141a3fabf3cbb822","target":"record","created_at":"2026-07-05T06:33:03Z","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":"2992bbe11ec0d750d0b435ff317a04dd17542e3c2cfa288bfa42c5f66595948c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T11:34:51Z","title_canon_sha256":"53b0285f19ee426831c907b2728b0eb2eac816783b61677e355d8ccac6cd50c7"},"schema_version":"1.0","source":{"id":"2211.12193","kind":"arxiv","version":2}},"canonical_sha256":"882701683e013392997355db14beaf8d178418d04616a8dbeffb0c562a45187a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"882701683e013392997355db14beaf8d178418d04616a8dbeffb0c562a45187a","first_computed_at":"2026-07-05T06:33:03.247730Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:33:03.247730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0RNMP3Vzy6jxmwRF4vwmQuvp/ouEC7DLpFWCvE5Bl7bC3szSzqm1VamTZM+VcZbqRXb+VZsOh2GvRn3Z1m1HCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:33:03.248213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.12193","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d846c163b45d12cf983ef1e5aafaf6882e09f3cac58d1880141a3fabf3cbb822","sha256:0e86bb02a5f7cde426c8c3daaed09aec601b1b139d122365c755d5f21378b870"],"state_sha256":"cefa686b7fdaab064e42910da0fc91a39909517220c554908a11d534f3fccb59"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/PWhY+SPM0UeTzyi5FoAbdat1IY8FZOce2imQ4uxBBGEYN0hMBRx+bF6TXH8abVNGFEHrp9OoqNrPywJseHcDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T10:56:27.837443Z","bundle_sha256":"4dbc44f584d609aa8bdfe0eee8cb42d8c6daaa6c38764b5e9da1dc1c6b36e6f5"}}