{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KHXS3UIZSQ432JKH6PYA7567YO","short_pith_number":"pith:KHXS3UIZ","canonical_record":{"source":{"id":"2606.31533","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T11:46:25Z","cross_cats_sorted":[],"title_canon_sha256":"489d3f0eb0281eaca0d858d33b4d034f5c5f041720211dc8ec56174a6940a2b4","abstract_canon_sha256":"e20ed975b98ca8dc36c62a5e826e5c39d123af79a19821667149272f1e1d9ad7"},"schema_version":"1.0"},"canonical_sha256":"51ef2dd1199439bd2547f3f00ff7dfc3989728ad58124df87c33b0c827b31301","source":{"kind":"arxiv","id":"2606.31533","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31533","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31533v1","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31533","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_12","alias_value":"KHXS3UIZSQ43","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_16","alias_value":"KHXS3UIZSQ432JKH","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_8","alias_value":"KHXS3UIZ","created_at":"2026-07-01T01:18:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KHXS3UIZSQ432JKH6PYA7567YO","target":"record","payload":{"canonical_record":{"source":{"id":"2606.31533","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T11:46:25Z","cross_cats_sorted":[],"title_canon_sha256":"489d3f0eb0281eaca0d858d33b4d034f5c5f041720211dc8ec56174a6940a2b4","abstract_canon_sha256":"e20ed975b98ca8dc36c62a5e826e5c39d123af79a19821667149272f1e1d9ad7"},"schema_version":"1.0"},"canonical_sha256":"51ef2dd1199439bd2547f3f00ff7dfc3989728ad58124df87c33b0c827b31301","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:18:06.327295Z","signature_b64":"/Jzopi2IO5igcWWfBzfhw8/0gm4XkAo0KI+ao1UMGMXUUQ3hY3zaidPT7RZvYQW4Ad+gsIa6LSSF9+H+FZcyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51ef2dd1199439bd2547f3f00ff7dfc3989728ad58124df87c33b0c827b31301","last_reissued_at":"2026-07-01T01:18:06.326860Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:18:06.326860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.31533","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":"2026-07-01T01:18:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VrG0dVjehwUf9pqys96NFnryI11mowIgrYrc/xY3TX5ICV1J2eQLC7ztkiGy3TofZeaz6GrIhDA5zDNMt7wjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:44:49.101697Z"},"content_sha256":"59187f6ce52b3cdb6720d30d872b8388b7e5387689243e0f2dc2981db9cb1772","schema_version":"1.0","event_id":"sha256:59187f6ce52b3cdb6720d30d872b8388b7e5387689243e0f2dc2981db9cb1772"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KHXS3UIZSQ432JKH6PYA7567YO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kartik Bali, Roland Aydin","submitted_at":"2026-06-30T11:46:25Z","abstract_excerpt":"Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic manipulation, and scientific simulation. Although modern Vision Language Models (VLMs) have advanced referring segmentation (RIS) in the image domain, extending such language-driven localization to structured 3D geometry is substantially harder. The 3D object appearance is highly sensitive to viewpoints; a single perspective may render a target entity clearly observable, while another may suffer from severe occlusion"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31533","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/2606.31533/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":"2026-07-01T01:18:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"frvuU+OkGmtvPA7aQPtzC0xoC/BiKFP0MVrYFrYnzBEQUpnFXo1ljzEV6a1aFZ7IPvO4waeAq2L5nxg87zMRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T09:44:49.102070Z"},"content_sha256":"1b3fc1a22c3a76559adf2d69a53535a4a6422b99045d50ce0c2d6d1e972b0ff6","schema_version":"1.0","event_id":"sha256:1b3fc1a22c3a76559adf2d69a53535a4a6422b99045d50ce0c2d6d1e972b0ff6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KHXS3UIZSQ432JKH6PYA7567YO/bundle.json","state_url":"https://pith.science/pith/KHXS3UIZSQ432JKH6PYA7567YO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KHXS3UIZSQ432JKH6PYA7567YO/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":"2026-07-02T09:44:49Z","links":{"resolver":"https://pith.science/pith/KHXS3UIZSQ432JKH6PYA7567YO","bundle":"https://pith.science/pith/KHXS3UIZSQ432JKH6PYA7567YO/bundle.json","state":"https://pith.science/pith/KHXS3UIZSQ432JKH6PYA7567YO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KHXS3UIZSQ432JKH6PYA7567YO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KHXS3UIZSQ432JKH6PYA7567YO","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":"e20ed975b98ca8dc36c62a5e826e5c39d123af79a19821667149272f1e1d9ad7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T11:46:25Z","title_canon_sha256":"489d3f0eb0281eaca0d858d33b4d034f5c5f041720211dc8ec56174a6940a2b4"},"schema_version":"1.0","source":{"id":"2606.31533","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31533","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31533v1","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31533","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_12","alias_value":"KHXS3UIZSQ43","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_16","alias_value":"KHXS3UIZSQ432JKH","created_at":"2026-07-01T01:18:06Z"},{"alias_kind":"pith_short_8","alias_value":"KHXS3UIZ","created_at":"2026-07-01T01:18:06Z"}],"graph_snapshots":[{"event_id":"sha256:1b3fc1a22c3a76559adf2d69a53535a4a6422b99045d50ce0c2d6d1e972b0ff6","target":"graph","created_at":"2026-07-01T01:18:06Z","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/2606.31533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic manipulation, and scientific simulation. Although modern Vision Language Models (VLMs) have advanced referring segmentation (RIS) in the image domain, extending such language-driven localization to structured 3D geometry is substantially harder. The 3D object appearance is highly sensitive to viewpoints; a single perspective may render a target entity clearly observable, while another may suffer from severe occlusion","authors_text":"Kartik Bali, Roland Aydin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T11:46:25Z","title":"MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31533","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":"sha256:59187f6ce52b3cdb6720d30d872b8388b7e5387689243e0f2dc2981db9cb1772","target":"record","created_at":"2026-07-01T01:18:06Z","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":"e20ed975b98ca8dc36c62a5e826e5c39d123af79a19821667149272f1e1d9ad7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T11:46:25Z","title_canon_sha256":"489d3f0eb0281eaca0d858d33b4d034f5c5f041720211dc8ec56174a6940a2b4"},"schema_version":"1.0","source":{"id":"2606.31533","kind":"arxiv","version":1}},"canonical_sha256":"51ef2dd1199439bd2547f3f00ff7dfc3989728ad58124df87c33b0c827b31301","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51ef2dd1199439bd2547f3f00ff7dfc3989728ad58124df87c33b0c827b31301","first_computed_at":"2026-07-01T01:18:06.326860Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:18:06.326860Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/Jzopi2IO5igcWWfBzfhw8/0gm4XkAo0KI+ao1UMGMXUUQ3hY3zaidPT7RZvYQW4Ad+gsIa6LSSF9+H+FZcyBw==","signature_status":"signed_v1","signed_at":"2026-07-01T01:18:06.327295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.31533","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59187f6ce52b3cdb6720d30d872b8388b7e5387689243e0f2dc2981db9cb1772","sha256:1b3fc1a22c3a76559adf2d69a53535a4a6422b99045d50ce0c2d6d1e972b0ff6"],"state_sha256":"6e2372b56db4dd13263ccaabf7ffafbd6a7ee81e1be7013f574f54ee33b7d519"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J79MlbBcQs/Uj10VdX0GYZ9Ze0ODRtrSTPHUWMBfSGWf0Lqorpepz3mbuSR8izNixDpBURcMS4mkkeGbFy4SBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T09:44:49.104081Z","bundle_sha256":"85c5e71247f4efa1fdcf51f8192cfb6215b93d4f1c747cc65d775e8cff66b1d9"}}