{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TXVZANPZQDW77IG6TJD7EALNH2","short_pith_number":"pith:TXVZANPZ","canonical_record":{"source":{"id":"2408.05938","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T06:25:44Z","cross_cats_sorted":[],"title_canon_sha256":"94c96326cbbb6cf8d0f15a974cd2aab8d0275392a4c3c3ba3f6520b15f3347d8","abstract_canon_sha256":"7c3814a75de15526d100869e076e8bb2012a1ffe986e45dba2eb989dc3586dd3"},"schema_version":"1.0"},"canonical_sha256":"9deb9035f980edffa0de9a47f2016d3e8864a0137eb79a9a080384e41373b94d","source":{"kind":"arxiv","id":"2408.05938","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05938","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05938v2","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05938","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_12","alias_value":"TXVZANPZQDW7","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_16","alias_value":"TXVZANPZQDW77IG6","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_8","alias_value":"TXVZANPZ","created_at":"2026-07-05T10:03:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TXVZANPZQDW77IG6TJD7EALNH2","target":"record","payload":{"canonical_record":{"source":{"id":"2408.05938","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T06:25:44Z","cross_cats_sorted":[],"title_canon_sha256":"94c96326cbbb6cf8d0f15a974cd2aab8d0275392a4c3c3ba3f6520b15f3347d8","abstract_canon_sha256":"7c3814a75de15526d100869e076e8bb2012a1ffe986e45dba2eb989dc3586dd3"},"schema_version":"1.0"},"canonical_sha256":"9deb9035f980edffa0de9a47f2016d3e8864a0137eb79a9a080384e41373b94d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:44.969240Z","signature_b64":"sx5d/6zS5A/bgRebrYNeKo1tx+jg81m4gu9urZ5RVYJxuDc+oTtiiQLemPjqKWMSR2fmlT6dmVC5LPy/7WbPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9deb9035f980edffa0de9a47f2016d3e8864a0137eb79a9a080384e41373b94d","last_reissued_at":"2026-07-05T10:03:44.968746Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:44.968746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.05938","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:03:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZtRxdSMD0hmc9cQUOxAVaJXsHmVWG8gCxvRuDerIGZKP/tlZNOFNaUtAoDmNriPnGRskmJ56uQ1Ig3T100fmDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:05:42.550315Z"},"content_sha256":"b40b5a85357ed85205e5866719a85f340fcb24495e742b041fde1d6417bf1cd3","schema_version":"1.0","event_id":"sha256:b40b5a85357ed85205e5866719a85f340fcb24495e742b041fde1d6417bf1cd3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TXVZANPZQDW77IG6TJD7EALNH2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhoon Kim, Eun Som Jeon, Kyle Min, Pavan Turaga, Rajeev Goel, Utkarsh Nath, Yezhou Yang, Yingzhen Yang","submitted_at":"2024-08-12T06:25:44Z","abstract_excerpt":"To address the data scarcity associated with 3D assets, 2D-lifting techniques such as Score Distillation Sampling (SDS) have become a widely adopted practice in text-to-3D generation pipelines. However, the diffusion models used in these techniques are prone to viewpoint bias and thus lead to geometric inconsistencies such as the Janus problem. To counter this, we introduce MT3D, a text-to-3D generative model that leverages a high-fidelity 3D object to overcome viewpoint bias and explicitly infuse geometric understanding into the generation pipeline. Firstly, we employ depth maps derived from "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05938","kind":"arxiv","version":2},"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/2408.05938/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":"2026-07-05T10:03:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gA4Fcpqs6lyUM6I9+GD++F7ZWaaS4npYyWoQrDF52Ft3ttCbnNy/5bGCiXoVKpvLTyWqgqkr5vzYKxFpcrQMCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:05:42.550664Z"},"content_sha256":"528c6110d227cff96d1c07cf33aa72756d0980b55551ca152ee4faddb43853e5","schema_version":"1.0","event_id":"sha256:528c6110d227cff96d1c07cf33aa72756d0980b55551ca152ee4faddb43853e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXVZANPZQDW77IG6TJD7EALNH2/bundle.json","state_url":"https://pith.science/pith/TXVZANPZQDW77IG6TJD7EALNH2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXVZANPZQDW77IG6TJD7EALNH2/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":"2026-07-31T16:05:42Z","links":{"resolver":"https://pith.science/pith/TXVZANPZQDW77IG6TJD7EALNH2","bundle":"https://pith.science/pith/TXVZANPZQDW77IG6TJD7EALNH2/bundle.json","state":"https://pith.science/pith/TXVZANPZQDW77IG6TJD7EALNH2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXVZANPZQDW77IG6TJD7EALNH2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TXVZANPZQDW77IG6TJD7EALNH2","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":"7c3814a75de15526d100869e076e8bb2012a1ffe986e45dba2eb989dc3586dd3","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T06:25:44Z","title_canon_sha256":"94c96326cbbb6cf8d0f15a974cd2aab8d0275392a4c3c3ba3f6520b15f3347d8"},"schema_version":"1.0","source":{"id":"2408.05938","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05938","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05938v2","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05938","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_12","alias_value":"TXVZANPZQDW7","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_16","alias_value":"TXVZANPZQDW77IG6","created_at":"2026-07-05T10:03:44Z"},{"alias_kind":"pith_short_8","alias_value":"TXVZANPZ","created_at":"2026-07-05T10:03:44Z"}],"graph_snapshots":[{"event_id":"sha256:528c6110d227cff96d1c07cf33aa72756d0980b55551ca152ee4faddb43853e5","target":"graph","created_at":"2026-07-05T10:03:44Z","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/2408.05938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To address the data scarcity associated with 3D assets, 2D-lifting techniques such as Score Distillation Sampling (SDS) have become a widely adopted practice in text-to-3D generation pipelines. However, the diffusion models used in these techniques are prone to viewpoint bias and thus lead to geometric inconsistencies such as the Janus problem. To counter this, we introduce MT3D, a text-to-3D generative model that leverages a high-fidelity 3D object to overcome viewpoint bias and explicitly infuse geometric understanding into the generation pipeline. Firstly, we employ depth maps derived from ","authors_text":"Changhoon Kim, Eun Som Jeon, Kyle Min, Pavan Turaga, Rajeev Goel, Utkarsh Nath, Yezhou Yang, Yingzhen Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T06:25:44Z","title":"Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05938","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:b40b5a85357ed85205e5866719a85f340fcb24495e742b041fde1d6417bf1cd3","target":"record","created_at":"2026-07-05T10:03:44Z","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":"7c3814a75de15526d100869e076e8bb2012a1ffe986e45dba2eb989dc3586dd3","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T06:25:44Z","title_canon_sha256":"94c96326cbbb6cf8d0f15a974cd2aab8d0275392a4c3c3ba3f6520b15f3347d8"},"schema_version":"1.0","source":{"id":"2408.05938","kind":"arxiv","version":2}},"canonical_sha256":"9deb9035f980edffa0de9a47f2016d3e8864a0137eb79a9a080384e41373b94d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9deb9035f980edffa0de9a47f2016d3e8864a0137eb79a9a080384e41373b94d","first_computed_at":"2026-07-05T10:03:44.968746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:44.968746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sx5d/6zS5A/bgRebrYNeKo1tx+jg81m4gu9urZ5RVYJxuDc+oTtiiQLemPjqKWMSR2fmlT6dmVC5LPy/7WbPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:44.969240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.05938","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b40b5a85357ed85205e5866719a85f340fcb24495e742b041fde1d6417bf1cd3","sha256:528c6110d227cff96d1c07cf33aa72756d0980b55551ca152ee4faddb43853e5"],"state_sha256":"7e43a9d9b4dd40b07509b96891c9395357a6661fd768152818690a0e27ab18a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SuOD396ExxIwShHupDSjCcjAIbWoW5y4KTj2bz7XLhT4mCVWf59qpN9PxeE+rfFugfhDWAnFDPqSNoVzxwruAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T16:05:42.553833Z","bundle_sha256":"0b4abfb620cb1083b2fee91634c2316b8ec4ea5eea829c08a8c40f4956cba192"}}