{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WJMEVWMN6JHI7ZTOYRZF2SHZJZ","short_pith_number":"pith:WJMEVWMN","canonical_record":{"source":{"id":"2607.03530","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T17:59:58Z","cross_cats_sorted":[],"title_canon_sha256":"ccaf6706684569111fd6ec99d8948e21c99777d44c995b27249d0ac6ecfad953","abstract_canon_sha256":"5923d119a8e770cfaad65db9029fd9c96779289132619def00fd7d36f42eea88"},"schema_version":"1.0"},"canonical_sha256":"b2584ad98df24e8fe66ec4725d48f94e62cc7169cdd85fa378a8b451f35ace13","source":{"kind":"arxiv","id":"2607.03530","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WJMEVWMN6JHI7ZTOYRZF2SHZJZ","target":"record","payload":{"canonical_record":{"source":{"id":"2607.03530","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T17:59:58Z","cross_cats_sorted":[],"title_canon_sha256":"ccaf6706684569111fd6ec99d8948e21c99777d44c995b27249d0ac6ecfad953","abstract_canon_sha256":"5923d119a8e770cfaad65db9029fd9c96779289132619def00fd7d36f42eea88"},"schema_version":"1.0"},"canonical_sha256":"b2584ad98df24e8fe66ec4725d48f94e62cc7169cdd85fa378a8b451f35ace13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:17:52.077538Z","signature_b64":"x8G5XKpXyVzuWIVRxeyALYHZYw08nbT3jnxdaif3T0zcDDz5vA1NyL2qf4BjUEJVCD8fuhuDKxqMOgD1UNGOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2584ad98df24e8fe66ec4725d48f94e62cc7169cdd85fa378a8b451f35ace13","last_reissued_at":"2026-07-07T02:17:52.076731Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:17:52.076731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.03530","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L8vGb2ThJWiqqW6E5Xt+RJsoKHAiEHhIMgbG0fMu/ss/Lkuy8D3JmOfFgcOx8nFs/w5+dsgYJN6BquZQy3rVDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:02:06.514859Z"},"content_sha256":"c78bc5e36727cbf0d64258ba55a9e8bd9ec7a34e51401364b78d7bda761e9127","schema_version":"1.0","event_id":"sha256:c78bc5e36727cbf0d64258ba55a9e8bd9ec7a34e51401364b78d7bda761e9127"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WJMEVWMN6JHI7ZTOYRZF2SHZJZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MentalThink: Shaping Thoughts in Mental SVG World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","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","submitted_at":"2026-07-03T17:59:58Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03530","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/2607.03530/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xTkXd6ULR6vTb4wl5T39MAu1lp7ouNtRV1foN1kzZb3RKpg9oK/fioQukUk0gNae0WYKb/fY9Ksj3ZUfqIymDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:02:06.515416Z"},"content_sha256":"b40e6120c224f2cef8f49989da165126a00a9de3e3d364a6fd7bb5e3452d775f","schema_version":"1.0","event_id":"sha256:b40e6120c224f2cef8f49989da165126a00a9de3e3d364a6fd7bb5e3452d775f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/bundle.json","state_url":"https://pith.science/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T19:02:06Z","links":{"resolver":"https://pith.science/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ","bundle":"https://pith.science/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/bundle.json","state":"https://pith.science/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WJMEVWMN6JHI7ZTOYRZF2SHZJZ/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfayJoB2zBiisELHdIkJIJ+VttIHWWsZUvPUIJs8VwEBFsHnO5owwDEpL3uF2T7iBLILBusAqQGTtrhKw+eCAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:02:06.519706Z","bundle_sha256":"42265157dff2ef90f0db5b4e64ceda05cd420747d66937b760f14b6435ed196a"}}