{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HFXOQB35N6M4RCXDUG4MMKNKBX","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":"52102b42699e3d5cb2c5003a8549c163da4ea157924febd8e080d1ebb1520ce0","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-05T07:10:40Z","title_canon_sha256":"8d528fbdbd59685c44f6aa3a83d9b1842204d04fa6fece3e4f265124edc979e0"},"schema_version":"1.0","source":{"id":"2408.02275","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.02275","created_at":"2026-07-05T11:44:40Z"},{"alias_kind":"arxiv_version","alias_value":"2408.02275v2","created_at":"2026-07-05T11:44:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.02275","created_at":"2026-07-05T11:44:40Z"},{"alias_kind":"pith_short_12","alias_value":"HFXOQB35N6M4","created_at":"2026-07-05T11:44:40Z"},{"alias_kind":"pith_short_16","alias_value":"HFXOQB35N6M4RCXD","created_at":"2026-07-05T11:44:40Z"},{"alias_kind":"pith_short_8","alias_value":"HFXOQB35","created_at":"2026-07-05T11:44:40Z"}],"graph_snapshots":[{"event_id":"sha256:c1a0f6fdbb70861fe27860ada542ed1ff73edd2d3b61671ddfa8a1c43c5552c0","target":"graph","created_at":"2026-07-05T11:44:40Z","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/2408.02275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a novel integration of Large Language Models (LLMs) with Conformal Geometric Algebra (CGA) to revolutionize controllable 3D scene editing, particularly for object repositioning tasks, which traditionally requires intricate manual processes and specialized expertise. These conventional methods typically suffer from reliance on large training datasets or lack a formalized language for precise edits. Utilizing CGA as a robust formal language, our system, Shenlong, precisely models spatial transformations necessary for accurate object repositioning. Leveraging the zero-shot l","authors_text":"George Papagiannakis, Manos Kamarianakis, Prodromos Kolyvakis","cross_cats":["cs.AI","cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-05T07:10:40Z","title":"Geometric Algebra Meets Large Language Models: Instruction-Based Transformations of Separate Meshes in 3D, Interactive and Controllable Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.02275","kind":"arxiv","version":2},"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:f6cc078aa809b5be9a6c050a47a390b9f808250e2538e65f12319cf3a90e3f87","target":"record","created_at":"2026-07-05T11:44:40Z","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":"52102b42699e3d5cb2c5003a8549c163da4ea157924febd8e080d1ebb1520ce0","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-05T07:10:40Z","title_canon_sha256":"8d528fbdbd59685c44f6aa3a83d9b1842204d04fa6fece3e4f265124edc979e0"},"schema_version":"1.0","source":{"id":"2408.02275","kind":"arxiv","version":2}},"canonical_sha256":"396ee8077d6f99c88ae3a1b8c629aa0df14b246b868de11e99aa841e9e62b275","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"396ee8077d6f99c88ae3a1b8c629aa0df14b246b868de11e99aa841e9e62b275","first_computed_at":"2026-07-05T11:44:40.366810Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:40.366810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7LJxpq5WyHo6OwW8ZUIZaWbSIJM/cvtcXYGoqCU1EtXyUpj/TeMAeRHYNvYwrS1JxmYNTsd6HeaPidJ+j0byBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:40.367238Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.02275","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6cc078aa809b5be9a6c050a47a390b9f808250e2538e65f12319cf3a90e3f87","sha256:c1a0f6fdbb70861fe27860ada542ed1ff73edd2d3b61671ddfa8a1c43c5552c0"],"state_sha256":"6dd412dd59fb696b26a6428b90ddd87b0dbdc62c645c41ee51edd44c62509f8c"}