{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:NN3GUMUAWLQK4YOZNYU3NO3S2H","short_pith_number":"pith:NN3GUMUA","schema_version":"1.0","canonical_sha256":"6b766a3280b2e0ae61d96e29b6bb72d1e04c3d8efc05d758f02d678111048d93","source":{"kind":"arxiv","id":"2412.17730","version":1},"attestation_state":"computed","paper":{"title":"Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Bowen Yang, He Wang, Licheng Zhong, Li Yi, Yun Liu","submitted_at":"2024-12-23T17:27:30Z","abstract_excerpt":"Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human data is a key research challenge with significant implications for robotics and real-world applications. However, existing methodologies and benchmarks are constrained by the use of small-scale, manually collected demonstrations, lacking the general dataset and benchmark support necessary to explore scene geometry generalization effectively. To address this gap, we introduce Mimicking-Bench, the first comprehensive benchmark designed for generalizable humanoid-scene interaction learning through mimicking "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.17730","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-12-23T17:27:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0de266e8a53481f58cc64893bc514f552d5a6a5954644233c3d07687a4b497ce","abstract_canon_sha256":"4fcb538051901593cbe1f9b538568daf694935458348e5c7b3e041e895886f7f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:26.680920Z","signature_b64":"JTg8o83/Kass6Tq2bQmB7Ew54zAWCaqvRmbhVmKRcWp5MKUURHNqj/sPyyxFHVr7CGyGg9MqgcmCYwctVX/lDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b766a3280b2e0ae61d96e29b6bb72d1e04c3d8efc05d758f02d678111048d93","last_reissued_at":"2026-07-05T09:53:26.680469Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:26.680469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Bowen Yang, He Wang, Licheng Zhong, Li Yi, Yun Liu","submitted_at":"2024-12-23T17:27:30Z","abstract_excerpt":"Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human data is a key research challenge with significant implications for robotics and real-world applications. However, existing methodologies and benchmarks are constrained by the use of small-scale, manually collected demonstrations, lacking the general dataset and benchmark support necessary to explore scene geometry generalization effectively. To address this gap, we introduce Mimicking-Bench, the first comprehensive benchmark designed for generalizable humanoid-scene interaction learning through mimicking "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17730","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.17730/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.17730","created_at":"2026-07-05T09:53:26.680526+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.17730v1","created_at":"2026-07-05T09:53:26.680526+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17730","created_at":"2026-07-05T09:53:26.680526+00:00"},{"alias_kind":"pith_short_12","alias_value":"NN3GUMUAWLQK","created_at":"2026-07-05T09:53:26.680526+00:00"},{"alias_kind":"pith_short_16","alias_value":"NN3GUMUAWLQK4YOZ","created_at":"2026-07-05T09:53:26.680526+00:00"},{"alias_kind":"pith_short_8","alias_value":"NN3GUMUA","created_at":"2026-07-05T09:53:26.680526+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":7,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.06052","citing_title":"ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations","ref_index":24,"is_internal_anchor":true},{"citing_arxiv_id":"2606.25591","citing_title":"WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning","ref_index":29,"is_internal_anchor":false},{"citing_arxiv_id":"2607.02034","citing_title":"ComplexMimic: Human-Scene Interaction Imitation in Complex 3D Environments","ref_index":20,"is_internal_anchor":false},{"citing_arxiv_id":"2606.25591","citing_title":"WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning","ref_index":28,"is_internal_anchor":false},{"citing_arxiv_id":"2512.09646","citing_title":"VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification","ref_index":49,"is_internal_anchor":false},{"citing_arxiv_id":"2604.21351","citing_title":"Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot","ref_index":13,"is_internal_anchor":false},{"citing_arxiv_id":"2604.20336","citing_title":"Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation","ref_index":28,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H","json":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H.json","graph_json":"https://pith.science/api/pith-number/NN3GUMUAWLQK4YOZNYU3NO3S2H/graph.json","events_json":"https://pith.science/api/pith-number/NN3GUMUAWLQK4YOZNYU3NO3S2H/events.json","paper":"https://pith.science/paper/NN3GUMUA"},"agent_actions":{"view_html":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H","download_json":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H.json","view_paper":"https://pith.science/paper/NN3GUMUA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.17730&json=true","fetch_graph":"https://pith.science/api/pith-number/NN3GUMUAWLQK4YOZNYU3NO3S2H/graph.json","fetch_events":"https://pith.science/api/pith-number/NN3GUMUAWLQK4YOZNYU3NO3S2H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H/action/storage_attestation","attest_author":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H/action/author_attestation","sign_citation":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H/action/citation_signature","submit_replication":"https://pith.science/pith/NN3GUMUAWLQK4YOZNYU3NO3S2H/action/replication_record"}},"created_at":"2026-07-05T09:53:26.680526+00:00","updated_at":"2026-07-05T09:53:26.680526+00:00"}