{"as_of":"2026-08-11T14:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be29ca32c2802ad8f9fd7508c5942dd566b5715e286ac88f86db7e23995ae772","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T17:20:11.856129Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.12318/citation-record","integrity":"/paper/2501.12318/integrity","json":"/paper/2501.12318/citation-record.json","paper":"/paper/2501.12318"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.765176Z","title":"Vitpose: Simple vision transformer baselines for human pose estimation,","venue":null,"work_id":"ebfa9ff3-490d-47d5-a1e3-a84807971dd7","year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.607638Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:d9ab96df18e9ea48cca472a1e6355e12ea9989156d07c2615768eb095c8ba591","observation_id":"88089618-2967-49c6-be8d-da7cce5a2e1e","resolution":{"observed_at":"2026-08-10T17:20:12.770899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.747927Z","title":"Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation,","venue":null,"work_id":"e0894ce8-b44e-4bc5-95b3-808405e5912f","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.613708Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:ee4bb3368ca9f08394862d30680f768cc698fa3658f55f10f19a8a049c863239","observation_id":"c1712d9e-b901-4fac-96bc-a76d3756aa12","resolution":{"observed_at":"2026-08-10T17:20:12.753144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.727644Z","title":"Rtmpose: Real-time multi-person pose estimation based on mmpose,","venue":null,"work_id":"b974ec80-90bc-4800-9da0-1d6dd0c8936b","year":null},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.619526Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:9fbb26a80f038b20cd99808bac400b497d586e4614ce84defe9df512bce19a7d","observation_id":"33b26b40-ad09-426d-9f75-5568de5b7357","resolution":{"observed_at":"2026-08-10T17:20:12.735800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.706986Z","title":"Cliff: Carrying location information in full frames into human pose and shape estimation,","venue":null,"work_id":"6c07639e-4198-4a10-a1d7-396a4ffd3873","year":null},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.631689Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:2c5405bb2eb66c2ebdcbe2a40b1bd721d0a6f472fb684ffdc16bf1fb4169aee7","observation_id":"373e18c2-b32b-44f3-af8c-c1649d9d64c0","resolution":{"observed_at":"2026-08-10T17:20:12.713499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.686597Z","title":"Deep learning methods for single camera based clinical in-bed movement action recognition,","venue":null,"work_id":"5f6e8c36-1343-4d2c-8adb-e0cb5fc1ad45","year":2024},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.643471Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:8941d8a3a8d01f76e02ae2cf3bb08d49e3ab1c538bf1522c50da13a9dfdc08b0","observation_id":"7632bfe4-2350-4cd1-85e5-ac6124065e84","resolution":{"observed_at":"2026-08-10T17:20:12.693047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.666835Z","title":"Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion,","venue":null,"work_id":"b04e0cfb-92b2-4d38-88c8-f09d2e488add","year":2023},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.648916Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:0684ab104efe0cd6c3a0b5c4bfae65ea674dc857e7a6a3fa5e9712bc22cb39e0","observation_id":"ed638c67-8442-4ca9-aa29-2bdcd5056b77","resolution":{"observed_at":"2026-08-10T17:20:12.672470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.647040Z","title":"AGORA: Avatars in geography optimized for regression analysis,","venue":null,"work_id":"6fc039c4-5493-4efa-a344-3751b0b2548f","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.654486Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:d084bbdf33dc198c302189d68452b197402eb889ff8211dc236903821243795b","observation_id":"700da113-e78b-4e89-9932-7e523aed451e","resolution":{"observed_at":"2026-08-10T17:20:12.652825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.628057Z","title":"Blanketgen - a synthetic blanket occlusion augmentation pipeline for motion capture datasets,","venue":null,"work_id":"7abf45b7-6ed9-4f86-bae0-a6bb42501a0d","year":2023},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.662360Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:cc8adc7a5301fb360ba334c0674d97646bdf9a5926bde1f9df3c404b685d5a87","observation_id":"316dd835-6605-4a24-a97d-1286cb709e0a","resolution":{"observed_at":"2026-08-10T17:20:12.634566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.610781Z","title":"Recovering accurate 3d human pose in the wild using imus and a moving camera,","venue":null,"work_id":"1be09e04-f627-467e-aabb-0d73f4c5e381","year":2018},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.668900Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:d5d065f4559f82066caedff5a797735e867538e127cdf15a6b7438547a25c287","observation_id":"0c225459-4d9c-47fa-bb08-aaa645fee927","resolution":{"observed_at":"2026-08-10T17:20:12.616001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.593328Z","title":"Aifit: Automatic 3d human-interpretable feedback models for fitness training,","venue":null,"work_id":"e858cc67-9be4-4a40-bbee-6395232ef0a7","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.675110Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:6d9f50254084fc9879e737e33dab1592b3a8451fca806253900385c7edfcaee5","observation_id":"76200f11-31cf-43f0-87e7-cffc4b6d2ac7","resolution":{"observed_at":"2026-08-10T17:20:12.598889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.576431Z","title":"Simultaneously-collected multimodal lying pose dataset: Enabling in- bed human pose monitoring,","venue":null,"work_id":"37667244-655f-4e5a-92e9-6f5ad6627d38","year":2023},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.680918Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:793a9d2fe61b693e04fb50b3a7d9391c35e1476350ae4d23c0c135e9e40adf52","observation_id":"234ecd17-f5d0-4e1d-ae64-7c89d1513d00","resolution":{"observed_at":"2026-08-10T17:20:12.582251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.559718Z","title":"The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose,","venue":null,"work_id":"5c90e5a9-f6a9-4328-bee9-8bfdaab97084","year":2020},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.687841Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:e93e8dda9a719e604ec6a1448f045741c383d7c397e7f23167eab69f74d3c462","observation_id":"958614b9-fd17-48f8-b4e4-df44e7e72e18","resolution":{"observed_at":"2026-08-10T17:20:12.564939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.542491Z","title":"Behave: Dataset and method for tracking human object interactions,","venue":null,"work_id":"98827a47-e075-4843-a94e-24ae3fad18e2","year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.693212Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:0cb2207ce0b8b3e20839f1b717030faa9a825bbd75ef60754c93332669c3dc0e","observation_id":"ba361fd6-daa7-4783-9acd-81c60a6a52df","resolution":{"observed_at":"2026-08-10T17:20:12.547870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.525696Z","title":"HuMMan: Multi-modal 4d human dataset for versatile sensing and modeling,","venue":null,"work_id":"84bbfe62-1af1-4133-ad36-64ab10f6f465","year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.698587Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:4d139d16b2f13a3f2ad3c7f540ebf425f2e7292aa9f1d0ca659080c5d110522a","observation_id":"cfb1c340-38e8-47c4-b895-b8ec52af7940","resolution":{"observed_at":"2026-08-10T17:20:12.531695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.507235Z","title":"Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,","venue":null,"work_id":"42da9fdf-12db-4898-8fe3-d787904d31bb","year":2014},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.706026Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:a3cabc04ef62deb41b53a27569457ca36285cf58cea89f216a9b7f2f679f542d","observation_id":"4cb3e01b-b0d6-41ed-b3c0-2bb51f46ca33","resolution":{"observed_at":"2026-08-10T17:20:12.513005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.486751Z","title":"Ai choreographer: Music conditioned 3d dance generation with aist++,","venue":null,"work_id":"c61e81bb-8159-4fda-8a00-b11b9bb46fcb","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.711271Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:ade29ca01cc225c737f7da60500fcceb9361d23a56415d369e1d65569ab005a2","observation_id":"fb5254c8-bb8e-49a2-b6ec-7479bdab2856","resolution":{"observed_at":"2026-08-10T17:20:12.492110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.470071Z","title":"Learning complex 3d human self-contact,","venue":null,"work_id":"ea11aa00-cca5-4dd6-bc84-8dc645d1e55d","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.716612Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:3f402ac8f1725e41a19d11cbd8c3e1e545f18f97d033b2346d59032091d9364d","observation_id":"efb015d0-1428-4ef3-9948-5f8a9163566e","resolution":{"observed_at":"2026-08-10T17:20:12.475280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.453450Z","title":"Three-dimensional reconstruction of human interactions,","venue":null,"work_id":"5ebafcff-572a-4708-b8b9-8caab6baecbb","year":2020},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.722528Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:de8ceb4f8e1262effea0ef3dbe36a6b24c27411788247b710aebc9d697b51be5","observation_id":"4568476b-15b1-4e5b-97de-e33e9f1f9631","resolution":{"observed_at":"2026-08-10T17:20:12.458372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.436418Z","title":"Humaneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion,","venue":null,"work_id":"a6ca54d6-06fc-42c4-acb0-ee80f4ef7730","year":2010},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.729027Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:d272e8c3c3cb8ce060eb656dc8d2b97fa28335e9dbd245b52d652ff92ef39145","observation_id":"1b4944cc-0394-4482-9353-80829c0e6082","resolution":{"observed_at":"2026-08-10T17:20:12.441822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.419153Z","title":"Microsoft coco: Common objects in context,","venue":null,"work_id":"753f3f13-4efd-48cf-90ad-a929abb986fb","year":2014},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.734771Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:f9ba1370410adfff0572c5692317caa21b7cc363bf5696928213ce524d491a41","observation_id":"34c0fa69-ee82-45e8-9f34-668c32c0da9b","resolution":{"observed_at":"2026-08-10T17:20:12.424918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.402320Z","title":"2d human pose estimation: New benchmark and state of the art analysis,","venue":null,"work_id":"e14ee90b-8e81-4904-addf-4969113ab796","year":2014},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.739822Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:f752ab567398541b7e0f773efd6635d1ef2fdc54e2c5f248067aebcf6e24e62d","observation_id":"a626307b-b1eb-467c-94b0-bcc577626bd1","resolution":{"observed_at":"2026-08-10T17:20:12.407824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.385478Z","title":"Learning effective human pose esti- mation from inaccurate annotation,","venue":null,"work_id":"dd5832c1-6ce6-48fe-9284-cb47ef3316f9","year":2011},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.746499Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:f9c823eaf34dcb90ef4004bb1f730c077b128387a366e2a8dce7501cb2cba866","observation_id":"87e40ba5-cab3-4af6-baf4-9d42ff25addd","resolution":{"observed_at":"2026-08-10T17:20:12.390673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00324","last_updated":"2019-01-23T03:53:48Z","snapshot_observed_at":"2026-08-01T19:41:30.058471Z","submitted_at":"2018-12-02T04:40:40Z","title":"CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.00324","snapshot_observed_at":"2026-08-10T17:20:11.751679Z","title":"Crowdpose: Efficient crowded scenes pose estimation and a new benchmark,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.751679Z"},"links":{"cited_paper":"/paper/1812.00324","citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:80c2dd37df4a7c46022ad8813d542b1f3666142274582b73238e6fba50ed3eb8","observation_id":"9591c4eb-e942-48bd-ad64-8f32d9f86194","resolution":{"observed_at":"2026-08-10T17:20:11.751679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.368431Z","title":"Pose2seg: Detection free human instance segmentation,","venue":null,"work_id":"5db53ead-7e7c-43a5-9122-02830519944d","year":2019},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.757065Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:bb6e9bb4eae0733823bb6f90d7657d72c50a18139c9c5666b4943312e253591a","observation_id":"3059a1c7-f860-4cd8-957c-5cdb671b6dee","resolution":{"observed_at":"2026-08-10T17:20:12.374666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.349218Z","title":"Synthesizing training images for boosting human 3d pose estimation,","venue":null,"work_id":"ae3e035c-6de9-4db6-aff5-65883e67a360","year":2015},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.762917Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:4376e6e2b9444aa9ddc41582fdd237a5ada2f09789209e1a66a02df488acfcd1","observation_id":"dfa9cfd8-c26f-454e-a979-ffafeb987584","resolution":{"observed_at":"2026-08-10T17:20:12.355738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.07588","last_updated":"2024-09-08T16:20:11Z","snapshot_observed_at":"2026-08-03T12:47:13.703910Z","submitted_at":"2021-10-14T17:49:42Z","title":"Playing for 3D Human Recovery","version":3},"cited_work":{"arxiv_id":"2110.07588","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.07588","snapshot_observed_at":"2026-08-10T17:20:12.016719Z","title":"Playing for 3D Human Recovery","venue":"cs.CV","work_id":"e0249a2b-a3a1-4dca-8bcc-3983320612e0","year":2021},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.768428Z"},"links":{"cited_paper":"/paper/2110.07588","citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:23402ddf827e50b5272037c911d7b1e043d8db340731d222a3fdd0fa7bff6331","observation_id":"c0552750-5360-40f6-84ab-b0fa3f34d5da","resolution":{"observed_at":"2026-08-10T17:20:12.024035Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.328346Z","title":"Learning from synthetic humans,","venue":null,"work_id":"dc141a21-71d9-46f7-9c3c-ab6fbd5a041a","year":2017},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.774931Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:f087b6026b7e4a13c59c89aa5362eddfde24949e864cfd74af6ddb1f7d8a88f6","observation_id":"e7c1268e-a6ac-4307-b23a-0bc818657dc4","resolution":{"observed_at":"2026-08-10T17:20:12.334511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:11.780124Z","title":"Monocular 3d human pose estimation in the wild using improved cnn supervision,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.780124Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:62be90300c28e6498d42ca0c54836416e06771a880d5750e8d9139b1218c3d3d","observation_id":"2df5df1e-c372-4b3e-b3c2-dae84ee49a0e","resolution":{"observed_at":"2026-08-10T17:20:11.780124Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.308873Z","title":"Single-shot multi-person 3d pose estimation from monocular rgb,","venue":null,"work_id":"a8a8d3cb-cadd-4f64-b40a-dad7682bd8b9","year":2018},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.787051Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:d752e025c2333c288d902c7a892f9867a25847bed103e7319f7cde89f35fa971","observation_id":"cdcf76aa-a4f1-45f8-8cf6-f1d8aaaec8e4","resolution":{"observed_at":"2026-08-10T17:20:12.315007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.281356Z","title":"Mould- ing humans: Non-parametric 3d human shape estimation from single images,","venue":null,"work_id":"da0e443d-b4b5-4dc1-942c-c08062556d0c","year":2019},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.793562Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:fb45ee3ea6541a3c0af4a6adc506858f0b317a14246a5563999696732ce7c622","observation_id":"ba3b4d96-cfe1-4c4a-b2bf-d064f5a59a9e","resolution":{"observed_at":"2026-08-10T17:20:12.291923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.259262Z","title":"Patient mocap: Human pose estimation under blanket oc- clusion for hospital monitoring applications,","venue":null,"work_id":"8bc495a2-2a0a-44f7-8fd5-dd20f410f6f9","year":2016},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.799915Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:f4d069c2d4a2187e336f663ce789b1f855b997fb1121198db2deb9c48da98ee0","observation_id":"1ab55700-5817-4c42-9de0-4f974e58001b","resolution":{"observed_at":"2026-08-10T17:20:12.265310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.236490Z","title":"Depth-based in-bed human pose estimation with synthetic dataset generation and deep keypoint estimation,","venue":null,"work_id":"7b551edf-a064-491a-852c-667c056517fb","year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.805315Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:047b923e7a542ed0b7cb9a3b76fdda3485b822f0575abd0246d2ee9cadf65944","observation_id":"fedca826-0574-451a-955a-d25345187bbe","resolution":{"observed_at":"2026-08-10T17:20:12.243451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.213584Z","title":"Bodypressure - inferring body pose and contact pressure from a depth image,","venue":null,"work_id":"ff7a5b31-7a35-4a9a-ab8a-d653cd164e2b","year":2023},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.812636Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:23992c3c24d014805c30c9b9bac3424d6b2d378000b85741679039824eb9aeb0","observation_id":"508d260c-6951-4467-b99b-174fcf286f5a","resolution":{"observed_at":"2026-08-10T17:20:12.220779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.193487Z","title":"Blanketset - a clinical real-world in-bed action recognition and qualitative semi-synchronised motion capture dataset,","venue":null,"work_id":"e08bf1da-7356-4ddc-b2b6-bcb17a0cd402","year":2023},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.820917Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:869e22c18205cf9f1b41edf8f414771ae34e637caa823217564da511e11602cb","observation_id":"9aa24863-e458-46c6-a656-66316a727e98","resolution":{"observed_at":"2026-08-10T17:20:12.199989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.173391Z","title":"[Online]","venue":null,"work_id":"abe33a30-2018-41d5-b53c-c072727e730a","year":2018},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.829535Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:98a80882505c0f4f1e194b078d9ec4e2fadf893df23b842c37de46b301ca3506","observation_id":"26fc5084-3eb3-4a66-8ee4-f9d222ac8811","resolution":{"observed_at":"2026-08-10T17:20:12.179536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:11.834897Z","title":"Masked au- toencoders are scalable vision learners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.834897Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:e2a5712c79aa68db2e8e0522effe775562c7193963c1731b1d421fc0245500ed","observation_id":"bb6670b8-6a2a-48a6-a513-21cd448e5b18","resolution":{"observed_at":"2026-08-10T17:20:11.834897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.06475","last_updated":"2017-11-17T09:58:20Z","snapshot_observed_at":"2026-07-06T06:09:59.838086Z","submitted_at":"2017-11-17T09:58:20Z","title":"AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.06475","snapshot_observed_at":"2026-08-10T17:20:11.840555Z","title":"Ai challenger : A large-scale dataset for going deeper in image understanding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.840555Z"},"links":{"cited_paper":"/paper/1711.06475","citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:21d2d40f88b4f7df7076cc16695d7d0aac10e5388bae5e04678165f54310d5e7","observation_id":"426bf84d-09cf-4863-a6f6-d4df7d1f4e52","resolution":{"observed_at":"2026-08-10T17:20:11.840555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:11.850674Z","title":"Openmmlab pose estimation toolbox and benchmark,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.850674Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:53551b7056210fcbd3fcfb92f556902cb229cc253c047c8d3d20632298405a05","observation_id":"f51785f2-d8fa-4657-8112-693f2633ba1a","resolution":{"observed_at":"2026-08-10T17:20:11.850674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T17:20:12.125477Z","title":"Clustered pose and nonlinear ap- pearance models for human pose estimation","venue":null,"work_id":"731b5007-04c0-47d2-89db-7b1bf698a554","year":2018},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.856129Z"},"links":{"citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:5e9fd9c0d78441627ff7d2c4d2590ada9f5e33428c780af1cfa8c431e16ebbeb","observation_id":"a66f8cc8-0727-4ec7-b62a-c07d4f224b9e","resolution":{"observed_at":"2026-08-10T17:20:12.133799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.00571","last_updated":"2022-09-21T08:19:41Z","snapshot_observed_at":"2026-07-06T13:37:14.607651Z","submitted_at":"2022-08-01T02:08:46Z","title":"CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation","version":2},"cited_work":{"arxiv_id":"2208.00571","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.00571","snapshot_observed_at":"2026-08-10T17:20:12.080140Z","title":"CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation","venue":"cs.CV","work_id":"82a528f6-4819-4ed6-af25-8d9d6ab7afe0","year":2022},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.636910Z"},"links":{"cited_paper":"/paper/2208.00571","citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:fba422a96f47861172ff7967d3e4922ca136990ca6e658e6d52269dc6b5bc982","observation_id":"42aa8c17-6347-4127-a69f-816ec53461b5","resolution":{"observed_at":"2026-08-10T17:20:12.092251Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.07399","last_updated":"2023-07-03T03:06:26Z","snapshot_observed_at":"2026-08-03T06:41:22.144754Z","submitted_at":"2023-03-13T18:26:11Z","title":"RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.07399","snapshot_observed_at":"2026-08-10T17:20:11.625330Z","title":"Available: https://arxiv.org/abs/2303.07399","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T17:20:11.625330Z"},"links":{"cited_paper":"/paper/2303.07399","citing_paper":"/paper/2501.12318"},"observation_digest":"sha256:01acbfebaa191717a39ea3a9fbef9f7dc533b3342dd7af7e96fe62d07c8866af","observation_id":"4d7c79ca-ce16-44a2-bf11-f56621995b64","resolution":{"observed_at":"2026-08-10T17:20:11.625330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.12318","last_updated":"2025-01-21T17:38:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T17:14:15.574360Z","submitted_at":"2025-01-21T17:38:42Z","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":33},"total_outbound_references":41},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.12318."}