{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WJMEVWMN6JHI7ZTOYRZF2SHZJZ","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":"5923d119a8e770cfaad65db9029fd9c96779289132619def00fd7d36f42eea88","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T17:59:58Z","title_canon_sha256":"ccaf6706684569111fd6ec99d8948e21c99777d44c995b27249d0ac6ecfad953"},"schema_version":"1.0","source":{"id":"2607.03530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03530","created_at":"2026-07-07T02:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03530v1","created_at":"2026-07-07T02:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03530","created_at":"2026-07-07T02:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"WJMEVWMN6JHI","created_at":"2026-07-07T02:17:52Z"},{"alias_kind":"pith_short_16","alias_value":"WJMEVWMN6JHI7ZTO","created_at":"2026-07-07T02:17:52Z"},{"alias_kind":"pith_short_8","alias_value":"WJMEVWMN","created_at":"2026-07-07T02:17:52Z"}],"graph_snapshots":[{"event_id":"sha256:b40e6120c224f2cef8f49989da165126a00a9de3e3d364a6fd7bb5e3452d775f","target":"graph","created_at":"2026-07-07T02:17:52Z","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/2607.03530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an executable mechanism for \"mental\" visualization. The core of MentalThink is a think-with-SVG pipeline, where the model learns to generate, render, and interpret scalable vector graphics (SVG) code as an intermediate visual representation for multi-turn reasoning. By creating structured vector sketches, the model can externalize spatial hypotheses, inspect them through deterministic rendering, and reason within a constrained geometric space, effectively mimicking the human process of menta","authors_text":"Daxin Jiang, Dingming Li, En Yu, Han Zhou, Hongbo Peng, Hongyu Zhou, Jianjian Sun, Jingyu Wang, Jisheng Yin, Kangheng Lin, Liang Zhao, Xiangyu Zhang, Yana Wei, Zheng Ge","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T17:59:58Z","title":"MentalThink: Shaping Thoughts in Mental SVG World"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03530","kind":"arxiv","version":1},"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:c78bc5e36727cbf0d64258ba55a9e8bd9ec7a34e51401364b78d7bda761e9127","target":"record","created_at":"2026-07-07T02:17:52Z","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":"5923d119a8e770cfaad65db9029fd9c96779289132619def00fd7d36f42eea88","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T17:59:58Z","title_canon_sha256":"ccaf6706684569111fd6ec99d8948e21c99777d44c995b27249d0ac6ecfad953"},"schema_version":"1.0","source":{"id":"2607.03530","kind":"arxiv","version":1}},"canonical_sha256":"b2584ad98df24e8fe66ec4725d48f94e62cc7169cdd85fa378a8b451f35ace13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2584ad98df24e8fe66ec4725d48f94e62cc7169cdd85fa378a8b451f35ace13","first_computed_at":"2026-07-07T02:17:52.076731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:17:52.076731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x8G5XKpXyVzuWIVRxeyALYHZYw08nbT3jnxdaif3T0zcDDz5vA1NyL2qf4BjUEJVCD8fuhuDKxqMOgD1UNGOAA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:17:52.077538Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c78bc5e36727cbf0d64258ba55a9e8bd9ec7a34e51401364b78d7bda761e9127","sha256:b40e6120c224f2cef8f49989da165126a00a9de3e3d364a6fd7bb5e3452d775f"],"state_sha256":"e3234656c30646ee7f59789bef56005ae367716603c640400712ece5a86067e9"}