{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:NEKWIU7Y2G233IRRYSNUNKMHEQ","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":"700973b18cc2454ec5ddaa7e8738f3f6d87f16c74b1bc315ed7ed369edebb1a2","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-29T17:00:22Z","title_canon_sha256":"f1baff5345b8cdb6dbb37fd8b36fd2939a6d87ef805f8e611883c94ff4577eda"},"schema_version":"1.0","source":{"id":"2209.14941","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14941","created_at":"2026-07-05T06:57:50Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14941v3","created_at":"2026-07-05T06:57:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14941","created_at":"2026-07-05T06:57:50Z"},{"alias_kind":"pith_short_12","alias_value":"NEKWIU7Y2G23","created_at":"2026-07-05T06:57:50Z"},{"alias_kind":"pith_short_16","alias_value":"NEKWIU7Y2G233IRR","created_at":"2026-07-05T06:57:50Z"},{"alias_kind":"pith_short_8","alias_value":"NEKWIU7Y","created_at":"2026-07-05T06:57:50Z"}],"graph_snapshots":[{"event_id":"sha256:5af66a00a3af825ac0e8bd12fff6090f7ec2b38bd9c2c3543cd5edf899ee2137","target":"graph","created_at":"2026-07-05T06:57:50Z","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/2209.14941/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D visual grounding aims to find the object within point clouds mentioned by free-form natural language descriptions with rich semantic cues. However, existing methods either extract the sentence-level features coupling all words or focus more on object names, which would lose the word-level information or neglect other attributes. To alleviate these issues, we present EDA that Explicitly Decouples the textual attributes in a sentence and conducts Dense Alignment between such fine-grained language and point cloud objects. Specifically, we first propose a text decoupling module to produce textu","authors_text":"Jian Zhang, Renrui Zhang, Xinhua Cheng, Yanmin Wu, Zesen Cheng","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-29T17:00:22Z","title":"EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14941","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":"sha256:1626e6b729ffbdf52d4353af88169bee19e97a54501dd946cbfe56ddfb086682","target":"record","created_at":"2026-07-05T06:57:50Z","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":"700973b18cc2454ec5ddaa7e8738f3f6d87f16c74b1bc315ed7ed369edebb1a2","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-29T17:00:22Z","title_canon_sha256":"f1baff5345b8cdb6dbb37fd8b36fd2939a6d87ef805f8e611883c94ff4577eda"},"schema_version":"1.0","source":{"id":"2209.14941","kind":"arxiv","version":3}},"canonical_sha256":"69156453f8d1b5bda231c49b46a9872429a2f072210d2daae3a1dbbc814f9645","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69156453f8d1b5bda231c49b46a9872429a2f072210d2daae3a1dbbc814f9645","first_computed_at":"2026-07-05T06:57:50.630539Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:50.630539Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jFnmrALcNZu99pkElJZSVz3Ok5OuSCFPJU2f7pCxiRhzDQh5+jCJ8pdIrPlctBlaLQBzR6/KOQPg5eUzKbZPAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:50.631134Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14941","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1626e6b729ffbdf52d4353af88169bee19e97a54501dd946cbfe56ddfb086682","sha256:5af66a00a3af825ac0e8bd12fff6090f7ec2b38bd9c2c3543cd5edf899ee2137"],"state_sha256":"cf58513149573a019a7efa32aafc4fbedf1dad09fd2d905dbf54c79a342e608b"}