{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XHSDK5O3FOBSGN4X4FNYPJ4OTX","short_pith_number":"pith:XHSDK5O3","canonical_record":{"source":{"id":"2404.19758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T17:59:40Z","cross_cats_sorted":[],"title_canon_sha256":"e089d8238f0a1166a670f52a5e34e48ae38979000dd228d39fab30d617a5d06b","abstract_canon_sha256":"d6606c3b4ae1f8ac9bd361d4e0c32126061e1b2e873ec0b970bb16715791d80c"},"schema_version":"1.0"},"canonical_sha256":"b9e43575db2b83233797e15b87a78e9df4f2013860253a0d8fdcdbe5dc8904b2","source":{"kind":"arxiv","id":"2404.19758","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19758","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19758v1","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19758","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"XHSDK5O3FOBS","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_16","alias_value":"XHSDK5O3FOBSGN4X","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_8","alias_value":"XHSDK5O3","created_at":"2026-07-05T08:13:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XHSDK5O3FOBSGN4X4FNYPJ4OTX","target":"record","payload":{"canonical_record":{"source":{"id":"2404.19758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T17:59:40Z","cross_cats_sorted":[],"title_canon_sha256":"e089d8238f0a1166a670f52a5e34e48ae38979000dd228d39fab30d617a5d06b","abstract_canon_sha256":"d6606c3b4ae1f8ac9bd361d4e0c32126061e1b2e873ec0b970bb16715791d80c"},"schema_version":"1.0"},"canonical_sha256":"b9e43575db2b83233797e15b87a78e9df4f2013860253a0d8fdcdbe5dc8904b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:56.488143Z","signature_b64":"C4zsraEhohzBuv2hJT0nqWl+1lm5iEUUyQQOKvScECvyozU0ySPQfYiFF2vb9ZhN3b333d4q2GzehET7awzpBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9e43575db2b83233797e15b87a78e9df4f2013860253a0d8fdcdbe5dc8904b2","last_reissued_at":"2026-07-05T08:13:56.487593Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:56.487593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.19758","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":"2026-07-05T08:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kfxTlpEAkEw9hCL9uYkZ2zFR8pr/WN87bmwOHZy7LclV3e8TIcXOwlsk+u+4Dn+B+jgFQmQqtGwwjsNy4cvdBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:24:18.565499Z"},"content_sha256":"08b66a6069ffb844c3754b5f6d6fd19862e5d3c08fbed4d89d5e50514812172d","schema_version":"1.0","event_id":"sha256:08b66a6069ffb844c3754b5f6d6fd19862e5d3c08fbed4d89d5e50514812172d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XHSDK5O3FOBSGN4X4FNYPJ4OTX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrea Vedaldi, Christian Rupprecht, Iro Laina, Paul Engstler","submitted_at":"2024-04-30T17:59:40Z","abstract_excerpt":"3D scene generation has quickly become a challenging new research direction, fueled by consistent improvements of 2D generative diffusion models. Most prior work in this area generates scenes by iteratively stitching newly generated frames with existing geometry. These works often depend on pre-trained monocular depth estimators to lift the generated images into 3D, fusing them with the existing scene representation. These approaches are then often evaluated via a text metric, measuring the similarity between the generated images and a given text prompt. In this work, we make two fundamental c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19758","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/2404.19758/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":"2026-07-05T08:13:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5hIPYMoTy15scGKVrdksGOA482jr6wOOXImwrCrSXCYNi/sNr84xvPbLNjGpG/dgr+FYrKagFeTeQ+2TO1uKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:24:18.565869Z"},"content_sha256":"885d8a7b332958f82f4d94e73a7a5a7e6e04611fd1c4b863d57e5862ffd4debd","schema_version":"1.0","event_id":"sha256:885d8a7b332958f82f4d94e73a7a5a7e6e04611fd1c4b863d57e5862ffd4debd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/bundle.json","state_url":"https://pith.science/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/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":"2026-08-05T03:24:18Z","links":{"resolver":"https://pith.science/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX","bundle":"https://pith.science/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/bundle.json","state":"https://pith.science/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XHSDK5O3FOBSGN4X4FNYPJ4OTX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XHSDK5O3FOBSGN4X4FNYPJ4OTX","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":"d6606c3b4ae1f8ac9bd361d4e0c32126061e1b2e873ec0b970bb16715791d80c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T17:59:40Z","title_canon_sha256":"e089d8238f0a1166a670f52a5e34e48ae38979000dd228d39fab30d617a5d06b"},"schema_version":"1.0","source":{"id":"2404.19758","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.19758","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.19758v1","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19758","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_12","alias_value":"XHSDK5O3FOBS","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_16","alias_value":"XHSDK5O3FOBSGN4X","created_at":"2026-07-05T08:13:56Z"},{"alias_kind":"pith_short_8","alias_value":"XHSDK5O3","created_at":"2026-07-05T08:13:56Z"}],"graph_snapshots":[{"event_id":"sha256:885d8a7b332958f82f4d94e73a7a5a7e6e04611fd1c4b863d57e5862ffd4debd","target":"graph","created_at":"2026-07-05T08:13:56Z","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/2404.19758/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D scene generation has quickly become a challenging new research direction, fueled by consistent improvements of 2D generative diffusion models. Most prior work in this area generates scenes by iteratively stitching newly generated frames with existing geometry. These works often depend on pre-trained monocular depth estimators to lift the generated images into 3D, fusing them with the existing scene representation. These approaches are then often evaluated via a text metric, measuring the similarity between the generated images and a given text prompt. In this work, we make two fundamental c","authors_text":"Andrea Vedaldi, Christian Rupprecht, Iro Laina, Paul Engstler","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T17:59:40Z","title":"Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19758","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":"sha256:08b66a6069ffb844c3754b5f6d6fd19862e5d3c08fbed4d89d5e50514812172d","target":"record","created_at":"2026-07-05T08:13:56Z","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":"d6606c3b4ae1f8ac9bd361d4e0c32126061e1b2e873ec0b970bb16715791d80c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T17:59:40Z","title_canon_sha256":"e089d8238f0a1166a670f52a5e34e48ae38979000dd228d39fab30d617a5d06b"},"schema_version":"1.0","source":{"id":"2404.19758","kind":"arxiv","version":1}},"canonical_sha256":"b9e43575db2b83233797e15b87a78e9df4f2013860253a0d8fdcdbe5dc8904b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9e43575db2b83233797e15b87a78e9df4f2013860253a0d8fdcdbe5dc8904b2","first_computed_at":"2026-07-05T08:13:56.487593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:56.487593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C4zsraEhohzBuv2hJT0nqWl+1lm5iEUUyQQOKvScECvyozU0ySPQfYiFF2vb9ZhN3b333d4q2GzehET7awzpBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:56.488143Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.19758","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08b66a6069ffb844c3754b5f6d6fd19862e5d3c08fbed4d89d5e50514812172d","sha256:885d8a7b332958f82f4d94e73a7a5a7e6e04611fd1c4b863d57e5862ffd4debd"],"state_sha256":"67d398fe52942dd27cf316a06b1b90fd33348c21913d4f6562ca07a9d752eaed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BySr86Nkh7QI4AWZrAZYzIXpaAy3GGsQPIFroOlnTY8O3FLpVooYdKPkofNGpD/+InJ0H0c2I88yQ0GwWz/cDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:24:18.568223Z","bundle_sha256":"36b33b2ae4f15a5b837dba3d4fabf698e1dd0a760c8b7f4f091cc415f5680f0e"}}