{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DV7YFKW5VZQXB2EXPRJD2JJIWN","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":"64c00a881098753e4c7af7c6c899ec8fff0a39bb1d784485724f4547eb1ac4c5","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-12-15T18:52:43Z","title_canon_sha256":"a9ab1ae1ccbf9fa56cf2729bc24b49762f494f3445db7db585862d08ef41d07a"},"schema_version":"1.0","source":{"id":"2512.13660","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.13660","created_at":"2026-06-30T01:17:30Z"},{"alias_kind":"arxiv_version","alias_value":"2512.13660v3","created_at":"2026-06-30T01:17:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.13660","created_at":"2026-06-30T01:17:30Z"},{"alias_kind":"pith_short_12","alias_value":"DV7YFKW5VZQX","created_at":"2026-06-30T01:17:30Z"},{"alias_kind":"pith_short_16","alias_value":"DV7YFKW5VZQXB2EX","created_at":"2026-06-30T01:17:30Z"},{"alias_kind":"pith_short_8","alias_value":"DV7YFKW5","created_at":"2026-06-30T01:17:30Z"}],"graph_snapshots":[{"event_id":"sha256:df106eb6e55cd49efc2e50413a9610b39cc361f68ca45446a402bd48608885ba","target":"graph","created_at":"2026-06-30T01:17:30Z","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/2512.13660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatial tracing, as a fundamental embodied interaction ability for robots, is inherently challenging as it requires multi-step metric-grounded reasoning compounded with complex spatial referring and real-world metric measurement. However, existing methods struggle with this compositional task. To this end, we propose RoboTracer, a 3D-aware VLM that first achieves both 3D spatial referring and measuring via a universal spatial encoder and a regression-supervised decoder to enhance scale awareness during supervised fine-tuning (SFT). Moreover, RoboTracer advances multi-step metric-grounded reaso","authors_text":"Cheng Chi, Enshen Zhou, Huajie Tan, Jiawei He, Jiayuan Zhang, Jingkun An, Lu Sheng, Mengzhen Liu, Pengwei Wang, Shanghang Zhang, Shanyu Rong, Yibo Li, Yi Han, Yuheng Ji, Zhongyuan Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-12-15T18:52:43Z","title":"Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.13660","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":"sha256:9bce4db21ae87dd906b9c1866b2568f699f48bc33cdb2963d312a37c0cd63c58","target":"record","created_at":"2026-06-30T01:17:30Z","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":"64c00a881098753e4c7af7c6c899ec8fff0a39bb1d784485724f4547eb1ac4c5","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-12-15T18:52:43Z","title_canon_sha256":"a9ab1ae1ccbf9fa56cf2729bc24b49762f494f3445db7db585862d08ef41d07a"},"schema_version":"1.0","source":{"id":"2512.13660","kind":"arxiv","version":3}},"canonical_sha256":"1d7f82aaddae6170e8977c523d2528b36483897f1b9b0dc17257a81d6a23214d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d7f82aaddae6170e8977c523d2528b36483897f1b9b0dc17257a81d6a23214d","first_computed_at":"2026-06-30T01:17:30.965605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:30.965605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4WU5SJ0flPl4ZsTTtgd1cWHtx6MQI2TUWCWuq5pkSR2TSfeVdAodALgOD/YK4m/JPDYdLO9fhxvp0C2C3qWDBQ==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:30.966363Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.13660","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bce4db21ae87dd906b9c1866b2568f699f48bc33cdb2963d312a37c0cd63c58","sha256:df106eb6e55cd49efc2e50413a9610b39cc361f68ca45446a402bd48608885ba"],"state_sha256":"b4662a8dceafc513a8b7328c4bba7c941222e943f5835f5d75ad39f65412fb37"}