{"as_of":"2026-08-19T22:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2dc5c7a48cdf89bfc359df094cd3c8a5b4178b8ed7ceb3b6fdd8ca95b28adfc","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:22:54.998381Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T01:19:53.140452Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T20:28:55.675924Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"cited_work":{"arxiv_id":"2504.12967","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12967","snapshot_observed_at":"2026-07-03T20:28:55.675924Z","title":"Krysalis hand: A lightweight, high-payload, 18-dof anthropomorphic end-effector for robotic learning and dexterous manipulation,","venue":null,"work_id":"33f848e9-1555-4f0d-8d8d-7728084bd686","year":2025},"citing_paper":{"arxiv_id":"2606.17418","last_updated":"2026-06-16T01:58:25Z","snapshot_observed_at":"2026-08-03T17:54:11.816188Z","submitted_at":"2026-06-16T01:58:25Z","title":"DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T01:19:53.140452Z"},"links":{"cited_paper":"/paper/2504.12967","citing_paper":"/paper/2606.17418"},"observation_digest":"sha256:9ec01af0050b38ef10e664e2e9e4173d3a6f107da799759e0084cf05698f8744","observation_id":"0c857cbe-9e63-4674-972d-d3c0f8887699","resolution":{"observed_at":"2026-07-03T20:28:55.677474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.12967/citation-record","integrity":"/paper/2504.12967/integrity","json":"/paper/2504.12967/citation-record.json","paper":"/paper/2504.12967"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:22:55.975339Z","title":"Chutima, ”A comprehensive review of robotic assembly line balancing problem,” J","venue":null,"work_id":"1b9d5478-8c33-4159-8b6a-87936b329187","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.723585Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:99e4b0649afddfca68f67e5d0079f0e8fcf80e689e512dff99a21183b461a2ff","observation_id":"fa5dae56-4f9f-473f-b62a-d76106b85512","resolution":{"observed_at":"2026-08-16T12:22:55.979090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.965334Z","title":"Hanna, et al., ”Industrial challenges when planning and preparing col - laborative and intelligent automation systems for final assembly stations,” in 2019 24th IEEE Int","venue":null,"work_id":"8511ca23-5f29-4572-8cfc-3587ce662501","year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.727729Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:30e6d7799a6360c691d73b185c88f322a34850f8d7e95e2ae5b5a9cff9f7fe08","observation_id":"d8eb713d-22ef-41fe-8b9d-1d52ea38578c","resolution":{"observed_at":"2026-08-16T12:22:55.969129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:54.731488Z","title":"Billard and D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.731488Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:dfda62fb2f2ea05b8ff5fc36aefdc0dbfdb74841003a22e10c0c449ac976bde1","observation_id":"22ddc0aa-67d4-4521-bb3a-9551e3624263","resolution":{"observed_at":"2026-08-16T12:22:54.731488Z","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":"2026-08-16T12:22:55.955332Z","title":"Hernandez, et al., ”Current designs of robotic arm grippers: A com - prehensive systematic review,” Robotics, vol","venue":null,"work_id":"07710d75-2350-4386-9061-0ac79fa44033","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.735920Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:9d79d4f7e18e9e220b951c58b62b74964db9a8bba66e9d66b3c253abb12e392f","observation_id":"c739a27e-5cf9-4406-87d2-653094d6c343","resolution":{"observed_at":"2026-08-16T12:22:55.958555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.945554Z","title":"Mao, et al., ”Multimodal tactile sensing fused with vision for dexterous robotic housekeeping,” Nature Communications, vol","venue":null,"work_id":"4b5dbab0-e13e-4301-8b30-090b7ef4739e","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.739931Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:d2e91c5ebcfb0be2ec93c5f438ae739a439f773149cd7cc913580d39b08482aa","observation_id":"e1746f34-3e85-4ab0-9f8e-a8f7d0e59c5a","resolution":{"observed_at":"2026-08-16T12:22:55.948878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07914","last_updated":"2024-10-16T08:52:42Z","snapshot_observed_at":"2026-08-16T13:19:11.823602Z","submitted_at":"2024-09-12T10:30:44Z","title":"InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07914","snapshot_observed_at":"2026-08-16T12:22:54.743922Z","title":"Lee, et al., ”InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation,” arXiv preprint arXiv:2409.07914, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.743922Z"},"links":{"cited_paper":"/paper/2409.07914","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:0b0662bf162b20625fb90c8e68d553ca0d705068d76653b24426bacd0a3c011a","observation_id":"c416f11c-2cdf-4c57-954c-539d3cd0afab","resolution":{"observed_at":"2026-08-16T12:22:54.743922Z","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":"2026-08-16T12:22:55.935150Z","title":null,"venue":null,"work_id":"b6f8982d-451d-4670-95d1-d8f4a706f1e0","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.747800Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:b91cdedb842c6d62fe171ac64b0d6fff828cc18ab2c920c8b9483a3cb8cf5d62","observation_id":"6203b719-a754-4eff-b9aa-9e4bc05aa60c","resolution":{"observed_at":"2026-08-16T12:22:55.938863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.923585Z","title":"Ringwald, et al., ”Towards task-specific modular gripper fingers: Auto- matic production of fingertip mechanics,” IEEE Robotics and Automation Letters, vol","venue":null,"work_id":"96e9b61a-4eb9-481a-9ed7-1b991f28648f","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.751076Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:83109bef6b9468fea7e07a8cfe0264543576dbdcc13dd8bd6c4ed258e625f47d","observation_id":"7cde08c3-a149-4a11-be08-5dbe329a9d9a","resolution":{"observed_at":"2026-08-16T12:22:55.927554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.912299Z","title":"Hughes, et al., ”Flexible, adaptive industrial assembly: driving inno - vation through competition: Flexible manufacturing,” Intelligent Service Robotics, vol","venue":null,"work_id":"2688e774-1b01-42f7-b274-d906e95179af","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.754438Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:0d723ec2161b89eeab95369026d1d086793737a1249625a954eba48739bbf268","observation_id":"19ccabdc-9a7b-477c-a418-235226952161","resolution":{"observed_at":"2026-08-16T12:22:55.916277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.901327Z","title":"24, 2024","venue":null,"work_id":"c0a00ec1-65d7-47a1-9ff5-77e8691b5447","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.757559Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:7434cd50bde17939c2d739efe2b4a3352a07edcf1d7e818f6a04ebcf68a24655","observation_id":"3f721c76-a33b-405c-9361-f249971e2967","resolution":{"observed_at":"2026-08-16T12:22:55.904965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.889755Z","title":"Kru¨ger, T","venue":null,"work_id":"f505c783-1a23-4656-ae3a-4d1049c81a10","year":2009},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.760665Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:9dada836e6df100d0e401d5d23ff38634686ab64f8650cb07b66be191e59e8da","observation_id":"e0da5819-ae1d-4bb3-9b39-6d15c371de74","resolution":{"observed_at":"2026-08-16T12:22:55.893783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.878586Z","title":"Spatola, S","venue":null,"work_id":"95cd01bc-5da2-4179-bd3b-cd1f676a89a5","year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.764113Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:3e813564c8592695c0839cb18fcfa44dcba8b7b409c885ef0df51a34bf991871","observation_id":"1b3d0f36-a445-4467-8958-4893a7932225","resolution":{"observed_at":"2026-08-16T12:22:55.882514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02117","last_updated":"2024-01-04T07:55:53Z","snapshot_observed_at":"2026-08-15T12:54:53.410743Z","submitted_at":"2024-01-04T07:55:53Z","title":"Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02117","snapshot_observed_at":"2026-08-16T12:22:54.767167Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.767167Z"},"links":{"cited_paper":"/paper/2401.02117","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:24a136844f30d82b77bca872934d9614376e8239b474f315fd15043920e6944e","observation_id":"4310e022-188c-47da-8dbc-e8fd48904fbd","resolution":{"observed_at":"2026-08-16T12:22:54.767167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17435","last_updated":"2025-03-08T01:43:40Z","snapshot_observed_at":"2026-08-16T13:15:18.579861Z","submitted_at":"2024-09-26T00:05:36Z","title":"Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17435","snapshot_observed_at":"2026-08-16T12:22:54.770385Z","title":"Chuang, et al., ”Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation,” arXiv, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.770385Z"},"links":{"cited_paper":"/paper/2409.17435","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:a6752792ee41cf7e5bf09d7e8e4c32c68a9678e4e0a9f57d1290d572b46c1d03","observation_id":"7034bed7-6b16-471e-9e2d-e3f07668cbe3","resolution":{"observed_at":"2026-08-16T12:22:54.770385Z","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":"2017.81419","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:22:55.229675Z","title":"Sannapaneni, M","venue":null,"work_id":"60d5696a-6ee7-4883-9acc-47a189038f0d","year":2017},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.773676Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:ab6a4fe0657d9d2bb7b77e9474a21ee45330a183657528dc5f2119c6a37d3786","observation_id":"e387c8b6-4d74-40b5-903b-64f4b0824baa","resolution":{"observed_at":"2026-08-16T12:22:55.235795Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s22114279","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:22:55.045044Z","title":"Zhang, et al., ”Prediction -based human-robot collaboration in assem- bly tasks using a learning from demonstration model,” Sensors, vol","venue":null,"work_id":"e39ed576-5aa1-4de9-b3ad-34ce3cbac72e","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.776593Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:d3541bf33d2a0c55419edaf185336ab8e7b657df58f7df57fda9848aca124496","observation_id":"0c981ab8-04a2-42ce-9ce6-71e76549c812","resolution":{"observed_at":"2026-08-16T12:22:55.049405Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.867481Z","title":"Sanchez, et al., ”Robotic manipulation and sensing of deformable ob - jects in domestic and industrial applications: a survey,” The International Journal of Robotics Research, vol","venue":null,"work_id":"f4ef1a99-788b-476d-95b5-06f6c1903658","year":2018},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.780178Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1690ff01ff86b123cc0a969269aa4526ee6d714fe4434647fce4a223040ff6d8","observation_id":"d34c0689-56f0-4851-b17d-1f88f12b3545","resolution":{"observed_at":"2026-08-16T12:22:55.870957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.857057Z","title":null,"venue":null,"work_id":"0be7f18e-d038-4271-9a22-1e71be6fb032","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.783778Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:febb964db19b9163bae4168f13347eff22bb2ed975b1c30799099e1c1ce22da4","observation_id":"c56af46c-2057-41aa-8779-d4524a1cae30","resolution":{"observed_at":"2026-08-16T12:22:55.860650Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.846548Z","title":"Fang, et al., ”Survey of imitation learning for robotic manipulation,” International Journal of Intelligent Robotics and Applications, vol","venue":null,"work_id":"4ab1f6b0-bf3f-48ba-99a1-335c632e6ed8","year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.787516Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:00b8f1989677a399a5ac40625e121d72f4a1681f0d9923e8af769f1a209732f9","observation_id":"1bf1df47-d01e-4034-85de-2267e4be9503","resolution":{"observed_at":"2026-08-16T12:22:55.850597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.836294Z","title":null,"venue":null,"work_id":"aa451e84-9a53-435f-8c06-3dcf8b0e13d1","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.791553Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:c37e390998b4a83793789e10a31dc8a93fddccbf22a1b0c2ae9ba0c0a5617025","observation_id":"0cc24f46-063d-41dd-a96c-e8b36fc4e666","resolution":{"observed_at":"2026-08-16T12:22:55.839658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.826407Z","title":"Ali, et al., ”Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence,” Information Fusion, vol","venue":null,"work_id":"d0073158-f6d2-4503-92c7-0e4f7cacba69","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.795438Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:5bfc1a84fdbc049edeccc2cc6328605975a30a171ebd800274c113a47b7d9c64","observation_id":"3089b66d-cfab-452e-9810-fa0ab3a4ec3c","resolution":{"observed_at":"2026-08-16T12:22:55.829570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.817029Z","title":"Guo and M","venue":null,"work_id":"2cfbd1e5-03a2-4831-bc15-9468e1a88b67","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.799216Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:04a84891388e9008ba77256a8e58e782b29676444e4306dcb60d1caa79ab8c34","observation_id":"4477b16e-0d0b-435c-bd7a-a1891ec864c1","resolution":{"observed_at":"2026-08-16T12:22:55.820263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.806587Z","title":"Barekatain, H","venue":null,"work_id":"d1643c7b-93c2-468e-97d5-ce6355b73649","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.802889Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:3d68e2bff95cad390fa313b34208716e37f7df5551d808dedb9f942b7b551767","observation_id":"1a04ec86-ad41-4327-ba6d-e7bf02cdd3ee","resolution":{"observed_at":"2026-08-16T12:22:55.810408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15166","last_updated":"2024-12-19T18:41:45Z","snapshot_observed_at":"2026-08-18T04:32:31.931268Z","submitted_at":"2024-12-19T18:41:45Z","title":"Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration","version":1},"cited_work":{"arxiv_id":"2412.15166","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.15166","snapshot_observed_at":"2026-08-16T12:22:55.158534Z","title":"Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration","venue":"cs.RO","work_id":"9195c776-bfc0-46d3-b520-74c1ef253ae0","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.806622Z"},"links":{"cited_paper":"/paper/2412.15166","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:cee4d1b082f37c72bf473964506d5ad635a98ce2678808e4a473b64dd0dc9c99","observation_id":"2c23f089-de7f-46f1-aa3c-1e21d7e476d9","resolution":{"observed_at":"2026-08-16T12:22:55.164023Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.795410Z","title":null,"venue":null,"work_id":"d071ddb3-dd31-4b3d-ac59-243cf6f3c126","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.810767Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:ad90f6f4242583027bec7dc27bde762ebc73b7205990f7e835735ade1b7ca39d","observation_id":"44d0f373-bc92-48cf-8d43-2c3d3298dee0","resolution":{"observed_at":"2026-08-16T12:22:55.799299Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.784401Z","title":null,"venue":null,"work_id":"36396e2d-2584-4159-9cc8-e796503f4ca4","year":2011},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.814599Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:15d6b301cc65bcb9f0b8d77fc55534bee7b109e84686ad95f2a52ad81cbe8db9","observation_id":"4ee3b10e-8040-4521-913a-5f8f6d44bfc0","resolution":{"observed_at":"2026-08-16T12:22:55.788135Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.773547Z","title":"Nazma and S","venue":null,"work_id":"f16f1230-63d6-4c2b-8396-8d2bb5f1aca7","year":2012},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.818360Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:8b9d5b952e641723778e2d78e73caa627625abf94914b7d3a2f201a812dcedce","observation_id":"dff46276-e9bf-4cb4-85b2-04de6ea7a253","resolution":{"observed_at":"2026-08-16T12:22:55.777067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.763145Z","title":"Ozawa, H","venue":null,"work_id":"104fef68-330e-4c20-90b1-72e553e7ffad","year":2014},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.822209Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:b5e9fbdbc956edeed465b9d69deee08fcd7e331101e8392bf7e101e915fa165a","observation_id":"d1ac95ac-eab8-4106-badc-5f1e3c972046","resolution":{"observed_at":"2026-08-16T12:22:55.766599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.751794Z","title":"Sultanov, et al., ”A review on collaborative robots in industrial and service sectors,” in 2022 International Siberian Conference on Control and Communications (SIBCON), 2022, pp","venue":null,"work_id":"d36fe355-d683-49f1-80c1-b8d5dd43cb3e","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.825797Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:79a3a44cc221eaf0fd6714213cab5890d8b6d01cb8e74927a6456a6650eb2866","observation_id":"1cdd249f-c585-476f-b8fd-e51d395b4626","resolution":{"observed_at":"2026-08-16T12:22:55.755685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.740976Z","title":"Park and D","venue":null,"work_id":"58e2a056-baba-4fe4-93d0-75ad9320d77b","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.829708Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:38988bb0b12da8456bfe5b6fab5f86a7d6f1f8db4ecfdd70a15b7f6181813626","observation_id":"79c4f549-9eaa-4701-8939-c8ac9c400e3c","resolution":{"observed_at":"2026-08-16T12:22:55.744759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.729723Z","title":"LEDDY, ”Underactuated Hand With Cable-driven Fingers,” WO2024073138A1, 4 Apr","venue":null,"work_id":"b0c00131-0b90-4a35-ab2e-f319ebef4bf6","year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.833389Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:8aeeb22fc189a2b7ebe7f7a714b9460e38ef1ad13645987828421341d6be803b","observation_id":"3a1db2f2-f6a6-44ef-9a21-7dfff5fc1049","resolution":{"observed_at":"2026-08-16T12:22:55.733797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06440","last_updated":"2023-09-12T17:59:20Z","snapshot_observed_at":"2026-08-16T15:01:16.977686Z","submitted_at":"2023-09-12T17:59:20Z","title":"LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.06440","snapshot_observed_at":"2026-08-16T12:22:54.836993Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.836993Z"},"links":{"cited_paper":"/paper/2309.06440","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:285a5667cae9f711271a9a3849f3de147a30756b89595c3481b355f7e39e4699","observation_id":"bc113514-91f6-4325-9932-f1d4ca216e89","resolution":{"observed_at":"2026-08-16T12:22:54.836993Z","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":"2026-08-16T12:22:55.718745Z","title":"Kadalagere Sampath, et al., ”Review on human -like robot manipula- tion using dexterous hands,” Cognitive Computation and Systems, vol","venue":null,"work_id":"dd8084ac-b7f6-4b7d-9894-f57774a45d4a","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.841203Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:c344044647d4fbeeee5fd6eef2c80da6326862973f9b7cbc1fbf7cd9c8b7ff78","observation_id":"dc349b20-7271-40f8-bb56-8753d5db1183","resolution":{"observed_at":"2026-08-16T12:22:55.722850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.707591Z","title":"Kim, et al., ”Integrated linkage -driven dexterous anthropomorphic robotic hand,” Nature Communications, vol","venue":null,"work_id":"52fd8647-6333-4b80-8ac1-83ed116fd02e","year":2021},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.844954Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:7badcff2785086aec0380801ab8aaa1d2ef9767dee101695dc482b4f24800f8d","observation_id":"3184975d-4501-46c1-b4aa-41ecc47ea88c","resolution":{"observed_at":"2026-08-16T12:22:55.711257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.696722Z","title":"Available: https:// www.roscomponents.com/product/shadow-dexterous-robotic-hand/","venue":null,"work_id":"0d332f59-4def-4ddf-bd1d-a6faa5dd21a0","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.848489Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1d56cd8b980a732ab5a0e26b4aec98938ac086897cf08d87e320d7df6ab86ce0","observation_id":"9be22873-b660-44ad-9f65-25c49a6df387","resolution":{"observed_at":"2026-08-16T12:22:55.700495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.684967Z","title":"[Online]","venue":null,"work_id":"9cbb3bd2-168e-46b9-a651-69e74b09d906","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.852382Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1b261ac8fee3c5b3265736a6874e10a62770037ac7452fb55cf5494b0ee6882e","observation_id":"203199f2-ecef-4642-af0c-296396b3b834","resolution":{"observed_at":"2026-08-16T12:22:55.689318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.674682Z","title":"Available: https://schunk.com/de/de/greiftechnik/spezialgreifer/svh/c/PGR 3161","venue":null,"work_id":"17405904-6299-41d9-b931-1c6349ca9c79","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.855873Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:ba9ef55e82e2fea270238d856fc40c4cc805af01b3b2e43c91ddc58d67efbdb9","observation_id":"8c7dc1e4-f266-45a3-af4a-be4e8568919c","resolution":{"observed_at":"2026-08-16T12:22:55.678216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:54.859400Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.859400Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:94b82e35cd90f09e2e2bb8e7f31c2ff69a7b07f899f03508a12f685f6ed5d8d7","observation_id":"fd3260d6-0271-46b4-be26-dcb44a4314b5","resolution":{"observed_at":"2026-08-16T12:22:54.859400Z","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":"10.1016/j.robot.2016.12.011","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:22:55.028506Z","title":"Cerulo et al., ”Teleoperation of the SCHUNK S5FH under -actuated anthropomorphic hand using human hand motion tracking,” Robotics Auton","venue":null,"work_id":"0fcbaad8-af80-462d-a8d6-ec9cc3380765","year":2017},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.862942Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:b2b435ee82b9971b42b2b74062a2586c48cbf8318c6c98a388ee665cced324d0","observation_id":"0c77dba3-3b24-4c5d-9279-f3d5bb42a031","resolution":{"observed_at":"2026-08-16T12:22:55.035494Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.664080Z","title":"Mayer, ”Fact sheet SCHUNK platform for robot manipulation learning,” Technical University of Munich, [Online]","venue":null,"work_id":"43714365-ff5a-462f-8624-da879cfbc975","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.866543Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:346fb245bb1823df7456983a7a9717fedcbf6f2f0880de3a6d85a708f4367cbc","observation_id":"4049b674-313d-4c4e-a6f6-e2b0877d99b2","resolution":{"observed_at":"2026-08-16T12:22:55.667837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.653108Z","title":null,"venue":null,"work_id":"752c5729-cd11-4b3f-bd82-369b0501e9e5","year":2013},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.870125Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:4052f7b03caa73bc901c912ee01e189b2336043d5e06a80ad6998e838a478c79","observation_id":"747b0a0b-d0c4-4bbf-bd79-e117c8ea6dd9","resolution":{"observed_at":"2026-08-16T12:22:55.656871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.642412Z","title":null,"venue":null,"work_id":"4f215dc4-8120-418a-98b5-df27ea83f324","year":2021},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.873521Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:f94ded94c0f0a209bf9202bbea839a81b3f7e71187d34057ca193969d1ed17d9","observation_id":"f2700bfc-679a-46a6-9fb7-1bf60c0a6485","resolution":{"observed_at":"2026-08-16T12:22:55.646201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.631111Z","title":null,"venue":null,"work_id":"bc5c3c53-6455-4b42-b513-822ffd0fadbe","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.877009Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:37ad7fd4a19d0bf60070d8a8212026b3085b8c515fd3da95eecf7fbe17afbf8a","observation_id":"afc4f124-2a55-43d9-8377-8164590a9011","resolution":{"observed_at":"2026-08-16T12:22:55.635254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.620553Z","title":"Riener, L","venue":null,"work_id":"76012e3b-c757-46b1-baec-e357cac1dd38","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.881173Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1c8e6363ce4d6499e1552ac6d96d9c7f424d6d838eae07f9e31663349cfffaac","observation_id":"852147cd-4a2f-420c-b0ab-2b2f68e2dabb","resolution":{"observed_at":"2026-08-16T12:22:55.624263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.609333Z","title":null,"venue":null,"work_id":"6b7b086a-7c47-4ba0-873a-4d69e0a75b3a","year":2013},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.884916Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:0800f015cc24e4f360f2f9281a92390e946cd0d1179cb341cdb3cd00aaeb9cf0","observation_id":"d6d3bbc4-5cd2-457d-93e6-c48a9e907d25","resolution":{"observed_at":"2026-08-16T12:22:55.613429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.597175Z","title":"Xiong et al., ”Design and implementation of an anthropomorphic hand for replicating human grasping functions,” IEEE Trans","venue":null,"work_id":"b2d5cca3-3004-46b7-8397-0e62fa156f44","year":2016},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.888773Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:146d6459f2e226233e359c816c1acbaf981ac71b3b1c3197c47e81b8c692526d","observation_id":"4c461c36-8ffc-4700-a266-31ef6956eeee","resolution":{"observed_at":"2026-08-16T12:22:55.601071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.586013Z","title":null,"venue":null,"work_id":"d55c7e85-55eb-42c1-a933-0912b1d855c8","year":2013},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.892577Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:992ba24bbf7c69295e95dad36028d1a343a53ab0c6aefa83ebdbaf0658357f70","observation_id":"fa7d61c7-4c70-401a-92d2-83396d967278","resolution":{"observed_at":"2026-08-16T12:22:55.589734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.575619Z","title":null,"venue":null,"work_id":"9d8e43d5-4b1a-493f-8853-67a14a717b64","year":2016},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.897028Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:26cc8d445c5170f9a8a57dbe19af21e07d5d96a43df970138b74f7d392117076","observation_id":"824b350f-5202-4dc6-85dd-3ea18391819c","resolution":{"observed_at":"2026-08-16T12:22:55.578738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.564934Z","title":"Sun et al","venue":null,"work_id":"fd0b3206-7629-4699-92f9-04003bf9efb7","year":2022},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.900283Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:efa7f69849b0d1987e06668351f2fc7f39bea54d30bf70fb82bce4ae16e7723e","observation_id":"2c1d5df2-e2f9-4e2d-893b-5e7bf4a43cdb","resolution":{"observed_at":"2026-08-16T12:22:55.567958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.554776Z","title":null,"venue":null,"work_id":"2d7de9f2-848b-4fd3-9469-17aae9aabb02","year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.903306Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:9954c23417ab5631b4335e0e9012ba1689e4e78643f9f3cb2587749bacb43d45","observation_id":"97cda4de-eddb-4309-bc7b-026b5c3179b1","resolution":{"observed_at":"2026-08-16T12:22:55.558265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.544036Z","title":null,"venue":null,"work_id":"fbe1f703-0056-4da7-99d9-bef8870db994","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.906391Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:bbef6945419a9da3f205db5db7d866dfe1a7ca52d5db572119a11d9b857d30cb","observation_id":"669cdf8a-57e1-48ff-b47b-57528dc75edf","resolution":{"observed_at":"2026-08-16T12:22:55.547899Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.533118Z","title":"Available: https://www.engineeringtoolbox.com/friction-coefficients-d 778.html","venue":null,"work_id":"4492a99d-a5c3-41be-8ddf-d68e00474737","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.909617Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:9ec8301ba31fe4a05b1b9b9e25b24723e5655251f8c3fcc694f04a2008a3e341","observation_id":"ee8950a4-d000-42e9-b544-d9c561b63f19","resolution":{"observed_at":"2026-08-16T12:22:55.536773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.522096Z","title":"[Online]","venue":null,"work_id":"97a6d1af-7467-4631-becc-c597fd3718e0","year":2021},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.912669Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:dc8ced7c6ba16a073baf01d97c9fff24661228215043476ca66dd4ec6f86d252","observation_id":"2900b56d-f75f-44b5-8dee-aba8bf7c28df","resolution":{"observed_at":"2026-08-16T12:22:55.525762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.510667Z","title":"Wang et al., ”Selective laser melting of aluminum and its alloys,” Materials, vol","venue":null,"work_id":"4db14e88-c639-4435-a464-85fb8a8bc5b5","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.916212Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:5d54130324d9ecb284782f5b4c08a29ab277a59e0de30e1822b382f8c3a79c53","observation_id":"dcb54052-5c99-4a7c-b14a-e1244a69dd8d","resolution":{"observed_at":"2026-08-16T12:22:55.514589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.499457Z","title":null,"venue":null,"work_id":"84af9d35-eb95-45d1-b5fd-4d491a991954","year":2019},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.919509Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1d0a6ce180889a1ba9df223f2e6fa92d6901461a19781a342f1d67eaa4cf6c40","observation_id":"107e540f-f6fb-4561-8be8-7462e1caef53","resolution":{"observed_at":"2026-08-16T12:22:55.503332Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.488400Z","title":null,"venue":null,"work_id":"5f075e8b-4ec5-40e3-a00e-f6f3fb2fa462","year":2008},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.922889Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:83f7b76a955a27794c9454a5be04f5999a6f9ce3bef602e97774c3acbf4fab60","observation_id":"ec87f09f-9fd3-4db8-9642-7e7f0b64dc13","resolution":{"observed_at":"2026-08-16T12:22:55.492266Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.477042Z","title":null,"venue":null,"work_id":"e27b051d-83b6-44e4-ad95-56e7b5e70aed","year":2018},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.926316Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:06313119c7af188dd3467fac4cadb47467b8dcd529fc7006ef885bcf43b4563f","observation_id":"e14632e7-351c-4950-8a4f-b9bb191ac073","resolution":{"observed_at":"2026-08-16T12:22:55.480920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.466160Z","title":null,"venue":null,"work_id":"a72d53a0-f9bf-4ff8-a4c0-467803f72530","year":null},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.931363Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:1d789b043dd83172f90b53ef76e1628f5b5cc0d76846c7a3761fd589e65cc00c","observation_id":"24048c87-a3cc-4a81-8aea-7a88ef49897c","resolution":{"observed_at":"2026-08-16T12:22:55.469675Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.455052Z","title":"com/store/materials/tough-1500-resin/?srsltid= AfmBOorw7iuqktleSoUumEflH535NFclSTk4YN88FwEo-oXqwbqLX9IC","venue":null,"work_id":"65253b66-b3e1-4431-9ada-f3da69fd4de2","year":null},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.934742Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:a6fecb2058a8eec3b63081c472d73c56f51a67e2c4cb6336e9509513dfff751d","observation_id":"70eb004e-7831-4e46-8029-066ecfec6eae","resolution":{"observed_at":"2026-08-16T12:22:55.459227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.444291Z","title":"Cosmi and A","venue":null,"work_id":"d714bc95-f22d-4216-ab8e-5c564fc42e84","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.938852Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:6fb8914dd8903ce52d0e5bd0391f712ce2ef3d07c3d722d0a3229f93a3d250e8","observation_id":"ef8eaf0e-7834-41fa-ac27-a0c624368904","resolution":{"observed_at":"2026-08-16T12:22:55.447927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.433451Z","title":"Hague et al., ”Materials analysis of stereolithography resins for use in rapid manufacturing,” J","venue":null,"work_id":"1ff9d8af-f342-410c-ad7a-8a81486df8cb","year":2004},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.942441Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:4c41777f18a6dbc7ecafe21ed6053cfc8a48e4114f533bd68de58b1b74d62ea3","observation_id":"ba5f6a14-6d77-4ddb-9a96-44ddc18cef91","resolution":{"observed_at":"2026-08-16T12:22:55.437306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.423226Z","title":"Li et al., ”Isotropic stereolithography resin toughened by core -shell particles,” Chem","venue":null,"work_id":"501d5282-52c2-41a7-838e-5eb8a70827c6","year":2020},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.946690Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:7d76d0318b8cf5e2a99d00b88438a2687e951c5f52e05a0eb8c1689f6b28b822","observation_id":"cd0597c2-5d0e-4a31-8236-ce063f63118c","resolution":{"observed_at":"2026-08-16T12:22:55.426664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.413177Z","title":"Validating Isotropy in SLA 3D Printing","venue":null,"work_id":"1ca355a9-e839-4243-8719-b966e424adad","year":null},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.950854Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:a2d83a23f236da66c79258eb7444bb33c1defb4c5849a5ea750fb537f0b7a4cd","observation_id":"1e618215-43f1-4e9a-a103-e950fbad432d","resolution":{"observed_at":"2026-08-16T12:22:55.416775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.402665Z","title":"Rachaveti et al., ”Thumbs up: Movements made by the thumb are smoother and larger than fingers in finger-thumb opposition tasks,” PeerJ, vol","venue":null,"work_id":"2848b684-3dac-4932-9c47-c33b46647982","year":2018},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.954904Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:e88d19a1b4584257ca4a4c6ededf9a7465ca5034c1830c241749f6da6050a116","observation_id":"9dbf18bc-6543-4bf0-8907-da2631434e2e","resolution":{"observed_at":"2026-08-16T12:22:55.406482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.389716Z","title":null,"venue":null,"work_id":"2920bac3-008d-4102-b75c-408fc6d0ebae","year":2010},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.959566Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:e7ad19bba494d5e28834a0af425aadc002b013e837f9cf60f6f92ab685c994da","observation_id":"4a9f0659-972d-40d3-a0f6-98ae282daa5f","resolution":{"observed_at":"2026-08-16T12:22:55.393226Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.378414Z","title":"Gutie´rrez-Mart´ınez et al., ”System to measure the range of motion of the joints of the human hand,” Rev","venue":null,"work_id":"ec57c266-6b5b-4689-a2b4-d628ec9594b6","year":2014},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.963534Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:2b912140a238790697cdb694f1716ee701c8a547e9bdc4741a2d953f42186f75","observation_id":"d64efc8c-a6c0-4e9f-95f7-c7f4ef8361b4","resolution":{"observed_at":"2026-08-16T12:22:55.382337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.366305Z","title":"Erdogan and S","venue":null,"work_id":"7d3a7860-858b-4fe1-8558-8b2644aebcf4","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.967445Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:02024eeabe20e5f949ba504e9273379aa8cda7c60c40aaaf99177b71ea07699e","observation_id":"1a586c47-9fea-429a-88fb-f30453f170b8","resolution":{"observed_at":"2026-08-16T12:22:55.370806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.354280Z","title":"Luttgens and N","venue":null,"work_id":"81155ff4-c3f9-4458-b902-6a3736840bcc","year":1997},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.971393Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:32871008e16af00156bd734c34f84fe75c764fd786854dfad705107de250ce2b","observation_id":"3766d445-0044-482a-a176-8e3fcda9a2ac","resolution":{"observed_at":"2026-08-16T12:22:55.358803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.340688Z","title":"Feix et al., ”The grasp taxonomy of human grasp types,” IEEE Trans","venue":null,"work_id":"995e1ef1-e050-4ba8-ba0b-24cd7d2d9f2c","year":2015},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.975211Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:80853384ca28a4458ee3a641e5c7a260db057080fc89b2742be52b089475064f","observation_id":"8dae7751-1962-4bd8-be51-a30e6ed94f34","resolution":{"observed_at":"2026-08-16T12:22:55.345137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.326964Z","title":"Hand anthropometry of U.S. Army personnel,","venue":null,"work_id":"e437fb35-9b04-4e65-b78a-6a7441f243ce","year":null},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.978821Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:b1b99a9ff0bc130ecc87ded07d1d31745df0681c6c70f15eb887bf8b055cf392","observation_id":"d67564d0-983c-450a-8429-05bb7c7e8444","resolution":{"observed_at":"2026-08-16T12:22:55.331292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13677","last_updated":"2024-11-20T19:53:35Z","snapshot_observed_at":"2026-08-18T10:17:14.064613Z","submitted_at":"2024-11-20T19:53:35Z","title":"Bimanual Dexterity for Complex Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.13677","snapshot_observed_at":"2026-08-16T12:22:54.983069Z","title":"Shaw, et al., ”Bimanual dexterity for complex tasks,” arXiv preprint arXiv:2411.13677, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.983069Z"},"links":{"cited_paper":"/paper/2411.13677","citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:96b15b2a6e41926c4fa2bbde7f25180700fa891585881656f131db1283b93b42","observation_id":"9bd598bf-0efb-4c07-a796-3e36b364beb4","resolution":{"observed_at":"2026-08-16T12:22:54.983069Z","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":"2026-08-16T12:22:55.314659Z","title":"Kawasaki and T","venue":null,"work_id":"65469c80-64a5-4d48-acbe-97a54ba815d2","year":2007},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.987460Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:d10990c5877c5c2d0e73e8a64c22293f15356d7be4b1045a882bd2ace6aaf03b","observation_id":"5ae3521a-bf20-4911-999a-c16f570bf595","resolution":{"observed_at":"2026-08-16T12:22:55.318763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.302728Z","title":"Available: https://www.manus-meta.com/products/quantum-metagloves","venue":null,"work_id":"6641cc90-1b5c-4eb5-acce-4dbaf0e64ec7","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.991179Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:fd69bfd30fe398f2549e61418c55a4c1fcc76072f53b1a1d11cad4252e1957d3","observation_id":"3d7818b5-ac21-4031-9b00-b4d97f9355b3","resolution":{"observed_at":"2026-08-16T12:22:55.306881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.290323Z","title":"Available: https://github.com/micro-ROS/micro ros raspberrypi pico sdk/tree/humble","venue":null,"work_id":"1884e194-d616-44cd-be55-6657e5ac0b5d","year":2025},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.994727Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:4e4b82a0054e7abb2b25bbed3a5b6a69e689c462f1880503a99bea354795c9ef","observation_id":"ed2bc67f-3f7c-47a1-89b1-6a2cd5e9f132","resolution":{"observed_at":"2026-08-16T12:22:55.294421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:22:55.277668Z","title":"in Robotics in 2023 from the University of California, Davis, USA","venue":null,"work_id":"bf14114c-a0f0-46cc-bcfd-5993cf502a78","year":2023},"citing_paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-16T12:22:54.998381Z"},"links":{"citing_paper":"/paper/2504.12967"},"observation_digest":"sha256:acb85150d56d8096452a0e40bbacd7c7e704fc84f4b1f62274cedaeecd016895","observation_id":"2aa70da1-e810-4b6d-b009-30d2d294c04d","resolution":{"observed_at":"2026-08-16T12:22:55.282550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.12967","last_updated":"2025-04-17T14:19:26Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-17T12:34:21.669824Z","submitted_at":"2025-04-17T14:19:26Z","title":"Krysalis Hand: A Lightweight, High-Payload, 18-DoF Anthropomorphic End-Effector for Robotic Learning and Dexterous Manipulation"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":24,"verified_exact":3,"verified_fuzzy":46},"total_outbound_references":75},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2504.12967."}