{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QHLQIUUPLVX2ICE4XFUAMUEGCB","short_pith_number":"pith:QHLQIUUP","canonical_record":{"source":{"id":"2607.13365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T01:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"aaee3bad23ffccecb7ae55e29d662527c639ac389857754629f6d09a393f9d10","abstract_canon_sha256":"4078609caafcfe3ce649cfc273c5b420c3cd255cc83dc48f3c9377745fcfdb01"},"schema_version":"1.0"},"canonical_sha256":"81d704528f5d6fa4089cb9680650861042902c352051fad9790a4c65a078613c","source":{"kind":"arxiv","id":"2607.13365","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13365","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13365v1","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13365","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_12","alias_value":"QHLQIUUPLVX2","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_16","alias_value":"QHLQIUUPLVX2ICE4","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_8","alias_value":"QHLQIUUP","created_at":"2026-07-16T00:22:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QHLQIUUPLVX2ICE4XFUAMUEGCB","target":"record","payload":{"canonical_record":{"source":{"id":"2607.13365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T01:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"aaee3bad23ffccecb7ae55e29d662527c639ac389857754629f6d09a393f9d10","abstract_canon_sha256":"4078609caafcfe3ce649cfc273c5b420c3cd255cc83dc48f3c9377745fcfdb01"},"schema_version":"1.0"},"canonical_sha256":"81d704528f5d6fa4089cb9680650861042902c352051fad9790a4c65a078613c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-16T00:22:14.248520Z","signature_b64":"X74TD8+1zm5KzqVQR4E1Iexcv1WtROiqt+zTI5uZzNXSRHoJMdsnM7/mo65sYO528uVl1KMKnNpr9XxkoZdvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81d704528f5d6fa4089cb9680650861042902c352051fad9790a4c65a078613c","last_reissued_at":"2026-07-16T00:22:14.247664Z","signature_status":"signed_v1","first_computed_at":"2026-07-16T00:22:14.247664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.13365","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":"2026-07-16T00:22:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPUXM92k3XZovZUBbjRxKXvcAQ4JH/bdeLFZEXhPyBob0zSZdLVmDXCQCFTNVAp551c726/VGQa1CxrqusbOAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:43:46.800892Z"},"content_sha256":"599f20e85c63c95b077cbb49b993a16d89cc2be74982aa4b77319a4bf11de87d","schema_version":"1.0","event_id":"sha256:599f20e85c63c95b077cbb49b993a16d89cc2be74982aa4b77319a4bf11de87d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QHLQIUUPLVX2ICE4XFUAMUEGCB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Eungjune Shim, Eunjung Ju, Hansol Lee","submitted_at":"2026-07-15T01:00:01Z","abstract_excerpt":"Existing 3D generative models predominantly rely on implicit volumetric representations, which enforce watertight topology and struggle to represent thin-shell and non-manifold geometries such as garments. Geometry image-based approaches offer a surface-centric alternative, but existing methods rely on discrete binary occupancy maps whose resolution-dependent boundary encoding causes staircase artifacts and information loss upon downsampling, while surface reconstruction remains a non-differentiable post-processing step disconnected from the learning pipeline. To address this, we propose Diffe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13365","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/2607.13365/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":"2026-07-16T00:22:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nv8DkKktWAD+me9JuL38yBbdosvnqD+GxEdgTNTg150xi+cLHWzeEQqCucCQJXoO9uovnKHtRcKGqCTJz0IjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:43:46.801406Z"},"content_sha256":"efd05530a1ef7708390adb5a9ad1b7c0fb645674eda300c757f58c023b3ac10d","schema_version":"1.0","event_id":"sha256:efd05530a1ef7708390adb5a9ad1b7c0fb645674eda300c757f58c023b3ac10d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/bundle.json","state_url":"https://pith.science/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/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":"2026-08-07T04:43:46Z","links":{"resolver":"https://pith.science/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB","bundle":"https://pith.science/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/bundle.json","state":"https://pith.science/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QHLQIUUPLVX2ICE4XFUAMUEGCB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QHLQIUUPLVX2ICE4XFUAMUEGCB","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":"4078609caafcfe3ce649cfc273c5b420c3cd255cc83dc48f3c9377745fcfdb01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T01:00:01Z","title_canon_sha256":"aaee3bad23ffccecb7ae55e29d662527c639ac389857754629f6d09a393f9d10"},"schema_version":"1.0","source":{"id":"2607.13365","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13365","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13365v1","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13365","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_12","alias_value":"QHLQIUUPLVX2","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_16","alias_value":"QHLQIUUPLVX2ICE4","created_at":"2026-07-16T00:22:14Z"},{"alias_kind":"pith_short_8","alias_value":"QHLQIUUP","created_at":"2026-07-16T00:22:14Z"}],"graph_snapshots":[{"event_id":"sha256:efd05530a1ef7708390adb5a9ad1b7c0fb645674eda300c757f58c023b3ac10d","target":"graph","created_at":"2026-07-16T00:22:14Z","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/2607.13365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing 3D generative models predominantly rely on implicit volumetric representations, which enforce watertight topology and struggle to represent thin-shell and non-manifold geometries such as garments. Geometry image-based approaches offer a surface-centric alternative, but existing methods rely on discrete binary occupancy maps whose resolution-dependent boundary encoding causes staircase artifacts and information loss upon downsampling, while surface reconstruction remains a non-differentiable post-processing step disconnected from the learning pipeline. To address this, we propose Diffe","authors_text":"Eungjune Shim, Eunjung Ju, Hansol Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T01:00:01Z","title":"DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13365","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":"sha256:599f20e85c63c95b077cbb49b993a16d89cc2be74982aa4b77319a4bf11de87d","target":"record","created_at":"2026-07-16T00:22:14Z","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":"4078609caafcfe3ce649cfc273c5b420c3cd255cc83dc48f3c9377745fcfdb01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T01:00:01Z","title_canon_sha256":"aaee3bad23ffccecb7ae55e29d662527c639ac389857754629f6d09a393f9d10"},"schema_version":"1.0","source":{"id":"2607.13365","kind":"arxiv","version":1}},"canonical_sha256":"81d704528f5d6fa4089cb9680650861042902c352051fad9790a4c65a078613c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81d704528f5d6fa4089cb9680650861042902c352051fad9790a4c65a078613c","first_computed_at":"2026-07-16T00:22:14.247664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T00:22:14.247664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X74TD8+1zm5KzqVQR4E1Iexcv1WtROiqt+zTI5uZzNXSRHoJMdsnM7/mo65sYO528uVl1KMKnNpr9XxkoZdvDg==","signature_status":"signed_v1","signed_at":"2026-07-16T00:22:14.248520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13365","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:599f20e85c63c95b077cbb49b993a16d89cc2be74982aa4b77319a4bf11de87d","sha256:efd05530a1ef7708390adb5a9ad1b7c0fb645674eda300c757f58c023b3ac10d"],"state_sha256":"e1e65be6ecf60163fd17587f20cec051880608fa436658c2579ca8ba3bc6ba66"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kz12enUfe/GLU/rgrFRLOiEBpQSwFq/Yy/HLMzwuPBX7FBS1vSe/kGgHSdG8nAqfRyIlkYZiE+LxsmeVLbl+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:43:46.806687Z","bundle_sha256":"19d2fc2fb9f59629b0da8f413e7e7e44e71444923f935efaf4ed68c49f914f96"}}