{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:D5ZB7ZNHZACZYX6WMP244WRJCM","short_pith_number":"pith:D5ZB7ZNH","canonical_record":{"source":{"id":"2310.12474","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-19T05:15:17Z","cross_cats_sorted":[],"title_canon_sha256":"2e171653055ef11a8bbb81ec4dcf7b4761ec895f7beca1cafe2a5606a843ee8c","abstract_canon_sha256":"6183757a81e0b88b4ffed91baa885c8aa342f0bd5dc600f396ca6b59b81ee23e"},"schema_version":"1.0"},"canonical_sha256":"1f721fe5a7c8059c5fd663f5ce5a29133a539dac661b5a68165185440915e6d2","source":{"kind":"arxiv","id":"2310.12474","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12474","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12474v4","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12474","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_12","alias_value":"D5ZB7ZNHZACZ","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_16","alias_value":"D5ZB7ZNHZACZYX6W","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_8","alias_value":"D5ZB7ZNH","created_at":"2026-07-05T07:34:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:D5ZB7ZNHZACZYX6WMP244WRJCM","target":"record","payload":{"canonical_record":{"source":{"id":"2310.12474","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-19T05:15:17Z","cross_cats_sorted":[],"title_canon_sha256":"2e171653055ef11a8bbb81ec4dcf7b4761ec895f7beca1cafe2a5606a843ee8c","abstract_canon_sha256":"6183757a81e0b88b4ffed91baa885c8aa342f0bd5dc600f396ca6b59b81ee23e"},"schema_version":"1.0"},"canonical_sha256":"1f721fe5a7c8059c5fd663f5ce5a29133a539dac661b5a68165185440915e6d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:34:51.654026Z","signature_b64":"UjTzAjwQVw7EVNOcVVnNb3zpGm2Gb7SjlYWj9ihRdXdg8PBNnMiXr5eVMOtEEHzKmrL11BI6HX0XLzubEJPgDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f721fe5a7c8059c5fd663f5ce5a29133a539dac661b5a68165185440915e6d2","last_reissued_at":"2026-07-05T07:34:51.653553Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:34:51.653553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.12474","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:34:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c7wFZvK8qqaH/+W6+3Mwplgp2tvWaSN05CBd41XclOJEpkec7Q8IGJSs5zbG5xWfNTuyHWZ4FX/Bqbd3OnjADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:45:41.446077Z"},"content_sha256":"574befb79d7eacada3b9082372f931bf858ec607ed2dc5da6fdf7c312be119ed","schema_version":"1.0","event_id":"sha256:574befb79d7eacada3b9082372f931bf858ec607ed2dc5da6fdf7c312be119ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:D5ZB7ZNHZACZYX6WMP244WRJCM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiachen Lu, Li Zhang, Xiatian Zhu, Zijie Pan","submitted_at":"2023-10-19T05:15:17Z","abstract_excerpt":"High-resolution 3D object generation remains a challenging task primarily due to the limited availability of comprehensive annotated training data. Recent advancements have aimed to overcome this constraint by harnessing image generative models, pretrained on extensive curated web datasets, using knowledge transfer techniques like Score Distillation Sampling (SDS). Efficiently addressing the requirements of high-resolution rendering often necessitates the adoption of latent representation-based models, such as the Latent Diffusion Model (LDM). In this framework, a significant challenge arises:"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12474","kind":"arxiv","version":4},"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/2310.12474/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":"2026-07-05T07:34:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zZTNm85AitCsv1NArjbCBXzBly7MIY58OlsY2KO78lb7eIvByRwx3cXCLQ/q93Ag+3eTUG/8dpEk8bVFCabWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:45:41.446581Z"},"content_sha256":"07986dafb412c024818810d4c78c3c357e305cce3ecf226d663934bda06f4544","schema_version":"1.0","event_id":"sha256:07986dafb412c024818810d4c78c3c357e305cce3ecf226d663934bda06f4544"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/bundle.json","state_url":"https://pith.science/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/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":"2026-08-07T04:45:41Z","links":{"resolver":"https://pith.science/pith/D5ZB7ZNHZACZYX6WMP244WRJCM","bundle":"https://pith.science/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/bundle.json","state":"https://pith.science/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D5ZB7ZNHZACZYX6WMP244WRJCM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:D5ZB7ZNHZACZYX6WMP244WRJCM","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":"6183757a81e0b88b4ffed91baa885c8aa342f0bd5dc600f396ca6b59b81ee23e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-19T05:15:17Z","title_canon_sha256":"2e171653055ef11a8bbb81ec4dcf7b4761ec895f7beca1cafe2a5606a843ee8c"},"schema_version":"1.0","source":{"id":"2310.12474","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12474","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12474v4","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12474","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_12","alias_value":"D5ZB7ZNHZACZ","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_16","alias_value":"D5ZB7ZNHZACZYX6W","created_at":"2026-07-05T07:34:51Z"},{"alias_kind":"pith_short_8","alias_value":"D5ZB7ZNH","created_at":"2026-07-05T07:34:51Z"}],"graph_snapshots":[{"event_id":"sha256:07986dafb412c024818810d4c78c3c357e305cce3ecf226d663934bda06f4544","target":"graph","created_at":"2026-07-05T07:34:51Z","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/2310.12474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-resolution 3D object generation remains a challenging task primarily due to the limited availability of comprehensive annotated training data. Recent advancements have aimed to overcome this constraint by harnessing image generative models, pretrained on extensive curated web datasets, using knowledge transfer techniques like Score Distillation Sampling (SDS). Efficiently addressing the requirements of high-resolution rendering often necessitates the adoption of latent representation-based models, such as the Latent Diffusion Model (LDM). In this framework, a significant challenge arises:","authors_text":"Jiachen Lu, Li Zhang, Xiatian Zhu, Zijie Pan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-19T05:15:17Z","title":"Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12474","kind":"arxiv","version":4},"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":"sha256:574befb79d7eacada3b9082372f931bf858ec607ed2dc5da6fdf7c312be119ed","target":"record","created_at":"2026-07-05T07:34:51Z","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":"6183757a81e0b88b4ffed91baa885c8aa342f0bd5dc600f396ca6b59b81ee23e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-19T05:15:17Z","title_canon_sha256":"2e171653055ef11a8bbb81ec4dcf7b4761ec895f7beca1cafe2a5606a843ee8c"},"schema_version":"1.0","source":{"id":"2310.12474","kind":"arxiv","version":4}},"canonical_sha256":"1f721fe5a7c8059c5fd663f5ce5a29133a539dac661b5a68165185440915e6d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f721fe5a7c8059c5fd663f5ce5a29133a539dac661b5a68165185440915e6d2","first_computed_at":"2026-07-05T07:34:51.653553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:51.653553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UjTzAjwQVw7EVNOcVVnNb3zpGm2Gb7SjlYWj9ihRdXdg8PBNnMiXr5eVMOtEEHzKmrL11BI6HX0XLzubEJPgDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:51.654026Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.12474","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:574befb79d7eacada3b9082372f931bf858ec607ed2dc5da6fdf7c312be119ed","sha256:07986dafb412c024818810d4c78c3c357e305cce3ecf226d663934bda06f4544"],"state_sha256":"c81a59095f2d15caae4d694acc2b476985bc154b68422a1bb1d17a1aa9b648fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZWuEXqkQCDxcCcfuvx6OUloVYhNFIaEMuXo3AcknHVM0LCYse7GyDdIriZHtIlHn9NWwxchFW28G2EklF3kAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:45:41.450752Z","bundle_sha256":"e26e37a77c4dfa00b556cbdefceb7f03049b51c537df3a74af3801821520e75f"}}