{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SKCH6BKOYCMQLENCIK2JJRPEEH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5eddf09df7fdb21126106ee35abb23b5d8b2b618fe2b5533853a85931e155003","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T07:54:04Z","title_canon_sha256":"fdb8864d7510ba50bd5b3a6ef1f693d9a2e54c4d553b1995b2d72012b14ded17"},"schema_version":"1.0","source":{"id":"2305.17934","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.17934","created_at":"2026-07-05T09:12:53Z"},{"alias_kind":"arxiv_version","alias_value":"2305.17934v3","created_at":"2026-07-05T09:12:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.17934","created_at":"2026-07-05T09:12:53Z"},{"alias_kind":"pith_short_12","alias_value":"SKCH6BKOYCMQ","created_at":"2026-07-05T09:12:53Z"},{"alias_kind":"pith_short_16","alias_value":"SKCH6BKOYCMQLENC","created_at":"2026-07-05T09:12:53Z"},{"alias_kind":"pith_short_8","alias_value":"SKCH6BKO","created_at":"2026-07-05T09:12:53Z"}],"graph_snapshots":[{"event_id":"sha256:403c0015c33d8b1ecfdc4d47703fa974e0602dfb581928fe4c962c68b0271823","target":"graph","created_at":"2026-07-05T09:12:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.17934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many robotics and industry applications have a high demand for the capability to estimate the 6D pose of novel objects from the cluttered scene. However, existing classic pose estimation methods are object-specific, which can only handle the specific objects seen during training. When applied to a novel object, these methods necessitate a cumbersome onboarding process, which involves extensive dataset preparation and model retraining. The extensive duration and resource consumption of onboarding limit their practicality in real-world applications. In this paper, we introduce ZeroPose, a novel ","authors_text":"Jianqiu Chen, Liwei Wu, Mingshan Sun, Rui Zhao, Tianpeng Bao, Zhenyu He, Zikun Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T07:54:04Z","title":"ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.17934","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9e4c388e8e85e90b446e4b6606bf7c52bbe9d4d1dfe0638b77e353d3fcb3d192","target":"record","created_at":"2026-07-05T09:12:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5eddf09df7fdb21126106ee35abb23b5d8b2b618fe2b5533853a85931e155003","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T07:54:04Z","title_canon_sha256":"fdb8864d7510ba50bd5b3a6ef1f693d9a2e54c4d553b1995b2d72012b14ded17"},"schema_version":"1.0","source":{"id":"2305.17934","kind":"arxiv","version":3}},"canonical_sha256":"92847f054ec0990591a242b494c5e421cf9a001e64175a54d74256a1a2bae0c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92847f054ec0990591a242b494c5e421cf9a001e64175a54d74256a1a2bae0c1","first_computed_at":"2026-07-05T09:12:53.357515Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:53.357515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XNgNjDyjwACu+wzj30eckSmICqP2fiXCdqRFdH/29ilm//WxlEktCvI3IPQdUmA7k6emYJvw7F+ohRFg3kaPBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:53.357994Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.17934","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e4c388e8e85e90b446e4b6606bf7c52bbe9d4d1dfe0638b77e353d3fcb3d192","sha256:403c0015c33d8b1ecfdc4d47703fa974e0602dfb581928fe4c962c68b0271823"],"state_sha256":"1769f5d9f935379baffe31baaacec4afab948c221c66f1bc9743ce6094ce0eff"}