{"as_of":"2026-08-23T14:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f1a1a64dc4afe98db0469868b6c104cb333a0c5675d24ad30041d7923d61e4a","coverage":[{"denominator":86,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":86,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:49:24.028010Z","state":"measured"},{"denominator":86,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":86,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.03819/citation-record","integrity":"/paper/2607.03819/integrity","json":"/paper/2607.03819/citation-record.json","paper":"/paper/2607.03819"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.155002Z","title":"Dreamscene360: Unconstrained text-to-3d scene generation with panoramic gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.155002Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:064c65a735daa1d048ac951868c0d9d3eef63a7ca1ae8f5e6f12f5f4c7c7d680","observation_id":"60cdb56f-02af-4d5a-8b98-9e33f7721a7d","resolution":{"observed_at":"2026-08-02T08:49:16.155002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-02T08:49:16.254942Z","title":"Glide: Towards photorealistic image gener- ation and editing with text-guided diffusion models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.254942Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:5bd8e1cb153b75faba1f93545ef6fa9fca0cefcffd3bf621558883bf48d81968","observation_id":"50d006ae-3443-4a5a-b2be-e29049fff0d2","resolution":{"observed_at":"2026-08-02T08:49:16.254942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-08-15T12:50:58.405488Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-02T08:49:16.339538Z","title":"Hierarchical text-conditional image generation with clip latents,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.339538Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:3b419760b1149a307f4197a6e79cc19336a46bdf067b1cb1559d67d1ada201d8","observation_id":"b4a9555e-7733-494c-a9e6-82985ed836a7","resolution":{"observed_at":"2026-08-02T08:49:16.339538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.455018Z","title":"Photoreal- istic text-to-image diffusion models with deep language understanding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.455018Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:79e88eca35faccf48c257619c020df4ccdf0d9976e944a601bce5a209aef7dcc","observation_id":"1e2e6b06-675c-40d3-9ef4-30b4e365aa81","resolution":{"observed_at":"2026-08-02T08:49:16.455018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.573890Z","title":"High resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.573890Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:05682c281738eec276fc47feb5df275d3630195745f19718b7237306d40d3794","observation_id":"125af813-10bd-4cab-a099-bf6ac18902cb","resolution":{"observed_at":"2026-08-02T08:49:16.573890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.683366Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.683366Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:4f8fa823fad19858119058214ef3f343f81bd8dd46675f37e539a6e5a7284ba9","observation_id":"16016902-ef2e-4d3c-ac56-5f2a1c8a86f9","resolution":{"observed_at":"2026-08-02T08:49:16.683366Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.808171Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.808171Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:28eae962e2150bd83676f8fe8b4abf7517205864c9549e1d450c8e113f10f67e","observation_id":"38f09bca-5924-4559-b395-67d982bac027","resolution":{"observed_at":"2026-08-02T08:49:16.808171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:16.934189Z","title":"Zero-shot text-guided object generation with dream fields,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:16.934189Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:700f3c9c175d7b6b7252e25e4bb0070ddf9b0b82e13473ed11e5d27d88b85d8b","observation_id":"d7263656-034d-4471-bd52-fb503d74a384","resolution":{"observed_at":"2026-08-02T08:49:16.934189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.053736Z","title":"Dreamfusion: Text- to-3d using 2d diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.053736Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:31131f680c57bb04fc70fb6301aa8a8ef6b7720cca8d570055ddaa498f59e228","observation_id":"7340ebb1-8ec4-4a70-868f-800ab5468409","resolution":{"observed_at":"2026-08-02T08:49:17.053736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.130613Z","title":"Magic3d: High-resolution text-to-3d content creation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.130613Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:b89303c89067f954a37ba2ba023c937a4c1ed96f9f87a6d3fdcfd30eb343040a","observation_id":"8c36c673-9706-49b0-8311-63148f0c3821","resolution":{"observed_at":"2026-08-02T08:49:17.130613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.268652Z","title":"Mvdream: Multi- view diffusion for 3d generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.268652Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:de5789f4e1fa6168493f18c7f13c6d28136ec6ff139eaf7bf0993cbb7226bdf2","observation_id":"305dd87e-9a1d-4202-91a8-25fc3ed8e598","resolution":{"observed_at":"2026-08-02T08:49:17.268652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.420306Z","title":"Text2room: Extracting textured 3d meshes from 2d text-to-image models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.420306Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:fafe4bd88768c80d5898592c73e1b667b23dd277b1f08022b00760ead874aa7f","observation_id":"68e74e56-7111-4631-a399-3186e31f2c05","resolution":{"observed_at":"2026-08-02T08:49:17.420306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.13384","last_updated":"2023-11-23T11:40:16Z","snapshot_observed_at":"2026-08-19T13:44:43.671372Z","submitted_at":"2023-11-22T13:27:34Z","title":"LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.13384","snapshot_observed_at":"2026-08-02T08:49:17.566352Z","title":"Lucid- dreamer: Domain-free generation of 3d gaussian splatting scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.566352Z"},"links":{"cited_paper":"/paper/2311.13384","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:e4fc8acc53790bfc0e8d8709dbd394c7edfaa85da3cf6a8b25bfa09988db8b39","observation_id":"8817999a-dcb1-43c5-9093-1a1d1442cb4e","resolution":{"observed_at":"2026-08-02T08:49:17.566352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.697686Z","title":"Text2nerf: Text-driven 3d scene generation with neural radiance fields,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.697686Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:42e30c4431f700cd64aadf17865cfa4de143696eb927966905dd357cb4cac20b","observation_id":"ec66da21-066d-4e03-859f-bf4adb0da8f3","resolution":{"observed_at":"2026-08-02T08:49:17.697686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.810622Z","title":"Wonderjourney: Going from anywhere to everywhere,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.810622Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:6dfb817c76838eb8b117d46e4ea92037d7fd528eac6cdb04c1d7115003bfe64b","observation_id":"73dfde22-660d-4ebd-b3bc-1ffbce0d9b3b","resolution":{"observed_at":"2026-08-02T08:49:17.810622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.871424Z","title":"Realmdreamer: Text-driven 3d scene generation with inpainting and depth diffusion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.871424Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:ab2ac498eea0cfd99b554c2a6936deac52a549a38fc46410781262bd1696fd5d","observation_id":"35b19631-afc5-4e66-87b2-b98f57f14bb7","resolution":{"observed_at":"2026-08-02T08:49:17.871424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:17.956493Z","title":"Recurrent diffusion for 3d point cloud generation from a single image,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:17.956493Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:1005946ae9b6ed00cf80ac8fb9cb3c8d5e8fd01c0abac6855ec2091ad383d775","observation_id":"af0a91d6-d577-456e-9563-4586daeb057e","resolution":{"observed_at":"2026-08-02T08:49:17.956493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:18.090812Z","title":"3d gaussian splatting for real-time radiance field rendering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.090812Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:2afd8bbdf6c8691a57ce58e6e4094f439239b59520053340b66b6a8ba41d251f","observation_id":"4968c384-56b8-4049-916a-34e10c527205","resolution":{"observed_at":"2026-08-02T08:49:18.090812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13711","last_updated":"2024-10-14T01:43:38Z","snapshot_observed_at":"2026-08-16T13:24:04.522841Z","submitted_at":"2024-08-25T02:56:26Z","title":"SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13711","snapshot_observed_at":"2026-08-02T08:49:18.205597Z","title":"Scene- dreamer360: Text-driven 3d-consistent scene generation with panoramic gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.205597Z"},"links":{"cited_paper":"/paper/2408.13711","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:9aaedc6d3db9cca84f67a4d7f09c9907a6cc137e9473cfd7275064de392756fb","observation_id":"0479c9c2-e852-4054-8fb3-89e8d2d4bbcb","resolution":{"observed_at":"2026-08-02T08:49:18.205597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15187","last_updated":"2024-07-21T14:52:51Z","snapshot_observed_at":"2026-08-17T16:36:32.972246Z","submitted_at":"2024-07-21T14:52:51Z","title":"HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15187","snapshot_observed_at":"2026-08-02T08:49:18.338983Z","title":"Holodreamer: Holistic 3d panoramic world generation from text descriptions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.338983Z"},"links":{"cited_paper":"/paper/2407.15187","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:df89d6b128637c91d1f9aeb3fc3667c5564b2a519179f54114e74636f69da855","observation_id":"86794ebd-087d-47c5-999e-dbe410ed3c8d","resolution":{"observed_at":"2026-08-02T08:49:18.338983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:18.477813Z","title":"Director3d: Real-world camera trajectory and 3d scene generation from text,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.477813Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:d72ad5db16364aae2e490a78a979eb03f20f30b4f1c7100dba8df8dd68104875","observation_id":"11bf63bc-4d9d-49d7-8b33-f24ddef25a06","resolution":{"observed_at":"2026-08-02T08:49:18.477813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21117","last_updated":"2025-01-02T16:31:44Z","snapshot_observed_at":"2026-08-10T22:59:55.895832Z","submitted_at":"2024-12-30T17:44:23Z","title":"Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21117","snapshot_observed_at":"2026-08-02T08:49:18.643545Z","title":"Prometheus: 3d-aware latent diffusion models for feed-forward text-to-3d scene generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.643545Z"},"links":{"cited_paper":"/paper/2412.21117","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:d80c4cceca149a15b4455df59214884d69846316e4795df6aa4d4db6142547f1","observation_id":"d12411fd-ab25-47ad-9180-c0926c633d4d","resolution":{"observed_at":"2026-08-02T08:49:18.643545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:18.802184Z","title":"Matterport3D: Learning from RGB-D data in indoor environments,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.802184Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:0980a21ddcad4cb1b99696cfd60c2a66e61031e7bbf80521cfd7efdb3d964b72","observation_id":"c29157de-57c9-4833-bb0f-1c7c0d5ccc29","resolution":{"observed_at":"2026-08-02T08:49:18.802184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:18.964179Z","title":"Stereo magnification: Learning view synthesis using multiplane images,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:18.964179Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:efda5823afe46dd40cff96ff9bbc5fd8ded66447a2813e71d7555a983c1ecabb","observation_id":"90cdcdbc-33cf-4849-8fa2-6206e53b8b6d","resolution":{"observed_at":"2026-08-02T08:49:18.964179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:19.085416Z","title":"Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.085416Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:3bf31183328c68c346e678901056429a081aade647d817898c0bc0497693d597","observation_id":"e826e213-eefe-4ddb-a8cb-fe8c1511f0ed","resolution":{"observed_at":"2026-08-02T08:49:19.085416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01097","last_updated":"2023-12-25T04:32:26Z","snapshot_observed_at":"2026-08-21T15:54:32.827762Z","submitted_at":"2023-07-03T15:19:17Z","title":"MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01097","snapshot_observed_at":"2026-08-02T08:49:19.253241Z","title":"Mvdiffusion: Enabling holistic multi-view image generation with correspondence- aware diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.253241Z"},"links":{"cited_paper":"/paper/2307.01097","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:637dbe2fb22580a05511956ab8ceb46c85debf489a21110de19bdbad32cf3d6f","observation_id":"cd6c05ae-0ac4-4d8e-bb1d-90b0d462c06d","resolution":{"observed_at":"2026-08-02T08:49:19.253241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:19.398577Z","title":"Stable diffusion 2,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.398577Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:3641ecbb87582cc065221e0b694fb5c35f31938d87c77f4da40d23ce7aea24b5","observation_id":"f02da491-7217-4c27-aa83-b4b1181c1dce","resolution":{"observed_at":"2026-08-02T08:49:19.398577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:19.520845Z","title":"Structure-from-motion revisited,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.520845Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:374edf9233ea3cde348808ed6b2242b10ccbaeddee069586f5c8ca63d6574d61","observation_id":"b08011b6-2307-43a7-935b-c97c0d370259","resolution":{"observed_at":"2026-08-02T08:49:19.520845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:19.662695Z","title":"Generative adversarial nets,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.662695Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c4a11df4824f9d5f3b1fb884d20a2f7aad8f56ab0716f12875ae25b510d1b68b","observation_id":"95a4431d-c086-4031-8240-d08fb5dcc744","resolution":{"observed_at":"2026-08-02T08:49:19.662695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:19.762793Z","title":"Stylegan2 distillation for feed-forward image manipulation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.762793Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:260948a4992713133d8b807be6d9413c29f265a1f05ef0196d12994bf063a5fe","observation_id":"ad7dd9f0-2f65-4e7c-810c-ec1d2141584d","resolution":{"observed_at":"2026-08-02T08:49:19.762793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06434","last_updated":"2016-01-07T23:09:39Z","snapshot_observed_at":"2026-08-12T18:43:14.431633Z","submitted_at":"2015-11-19T22:50:32Z","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06434","snapshot_observed_at":"2026-08-02T08:49:19.917073Z","title":"Unsupervised representation learning with deep convolutional generative adversarial networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:19.917073Z"},"links":{"cited_paper":"/paper/1511.06434","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:f9faf9574ea8c8f2021dad2a9bb8f1df1f0253354732a5ad65ca95fcbaedf5a6","observation_id":"4b939553-6b7b-41ef-b499-ac8e3edd6e7c","resolution":{"observed_at":"2026-08-02T08:49:19.917073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.009930Z","title":"Image-to-image translation with conditional adversarial networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.009930Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:1a1c9919448f237dccab45cceb851257afcb39f77744bd967991b9265e8ccce6","observation_id":"eb0f8c13-b2b2-4ab3-9f30-43097aad7236","resolution":{"observed_at":"2026-08-02T08:49:20.009930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.073744Z","title":"A style-based generator architecture for generative adversarial networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.073744Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:b8d6212bb2438c2db3893ed22a7ca20f25e9f85d729eda0e8aa84bfafc3231fe","observation_id":"eb6157f7-cd36-46bf-a2b9-2525acdfcbe1","resolution":{"observed_at":"2026-08-02T08:49:20.073744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.149306Z","title":"Generative modeling by estimating gradients of the data distribution,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.149306Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:714ad74a1db4bc5aad623ed049fabd475aab914e7ef7eb2ab12c60e05a54d247","observation_id":"a90a0085-244e-4787-ac2c-9625473b64c0","resolution":{"observed_at":"2026-08-02T08:49:20.149306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.229277Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.229277Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:7570ca4868c7c7e8ccee5fae34452ecb3cf3f2bdc4f2d5db07dfcd29e858d6d8","observation_id":"1ea52cec-377f-41f3-8a61-3c0be84ffc79","resolution":{"observed_at":"2026-08-02T08:49:20.229277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.305049Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.305049Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:1ef07974fa5d37e0230ff206ae4524765c283c1f6abe8c4c6fb8739ebdd73a99","observation_id":"ff4a0e86-d08f-4fc3-9c2d-19ba3549ceaf","resolution":{"observed_at":"2026-08-02T08:49:20.305049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.382811Z","title":"Score-based generative modeling through stochastic differ- ential equations,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.382811Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:6f926ab10b580124430664f6e3b4107724236d9694211a9d1b6be412e28665a0","observation_id":"b02d7264-9d04-4cc5-b2b7-7b06516451a2","resolution":{"observed_at":"2026-08-02T08:49:20.382811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-02T08:49:20.460069Z","title":"Classifier-free diffusion guidance,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.460069Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:144551572069cde035794a53812b38d45038e95e3bd045e975629e5246870b23","observation_id":"66f815c1-a749-4fbe-8919-308a5d659951","resolution":{"observed_at":"2026-08-02T08:49:20.460069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04873","last_updated":"2025-01-16T12:59:35Z","snapshot_observed_at":"2026-08-16T13:02:24.620174Z","submitted_at":"2024-11-06T16:28:21Z","title":"Boosting Latent Diffusion with Perceptual Objectives","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04873","snapshot_observed_at":"2026-08-02T08:49:20.536200Z","title":"Boosting latent diffusion with perceptual objectives,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.536200Z"},"links":{"cited_paper":"/paper/2411.04873","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:509d65037ec1f5706986a87230247e8c3ea66be5faaac4db517d7ec1a2423f05","observation_id":"7b8148cb-cf4b-48a7-9357-3161aca41b74","resolution":{"observed_at":"2026-08-02T08:49:20.536200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00110","last_updated":"2025-03-08T03:14:40Z","snapshot_observed_at":"2026-08-18T19:44:27.674574Z","submitted_at":"2023-12-30T01:24:25Z","title":"Diffusion Model with Perceptual Loss","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00110","snapshot_observed_at":"2026-08-02T08:49:20.619086Z","title":"Diffusion model with perceptual loss,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.619086Z"},"links":{"cited_paper":"/paper/2401.00110","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:bce73086a959352c0249f62df862fb2ca3d208b929c7a5452bc67357838abeed","observation_id":"c7d90ecf-5e20-4b3b-ad1c-31d7ef38ca28","resolution":{"observed_at":"2026-08-02T08:49:20.619086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08113","last_updated":"2023-02-16T06:28:29Z","snapshot_observed_at":"2026-08-19T19:26:15.320752Z","submitted_at":"2023-02-16T06:28:29Z","title":"MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08113","snapshot_observed_at":"2026-08-02T08:49:20.698832Z","title":"Multidiffusion: Fusing diffusion paths for controlled image generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.698832Z"},"links":{"cited_paper":"/paper/2302.08113","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:1b8ab046cd88f7a751d149faebcc00cef2c176c1a2977eab0b6f483489f2efc6","observation_id":"450c6346-4990-4693-a76a-c8c1e3516786","resolution":{"observed_at":"2026-08-02T08:49:20.698832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19195","last_updated":"2023-05-30T16:39:54Z","snapshot_observed_at":"2026-08-16T15:28:14.239739Z","submitted_at":"2023-05-30T16:39:54Z","title":"PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19195","snapshot_observed_at":"2026-08-02T08:49:20.781201Z","title":"Panogen: Text-conditioned panoramic environ- ment generation for vision-and-language navigation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.781201Z"},"links":{"cited_paper":"/paper/2305.19195","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:4fbe4d53b5a0215c2d6f34bc58647f0d4b2af9865309211d5f13b93aa5b5d09a","observation_id":"bcfe7714-aaa8-4867-b241-336f1e07f44e","resolution":{"observed_at":"2026-08-02T08:49:20.781201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.866074Z","title":"Diffcollage: Parallel generation of large content with diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.866074Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:75ef8b2aaf11362a349708b1e8b16435790305632a71ae624ae804af2ffc2ce6","observation_id":"6549b31b-264d-45ee-b992-c4906149ce5a","resolution":{"observed_at":"2026-08-02T08:49:20.866074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:20.945544Z","title":"Customizing 360-degree panoramas through text-to-image diffusion models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:20.945544Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:284a908b5ddb22ce59033bce5ec3fec584cc0f19569e6867ac8f3702725d3f69","observation_id":"84cc82ac-7d1f-4125-ab7a-3b8aa4e3e1e8","resolution":{"observed_at":"2026-08-02T08:49:20.945544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.026997Z","title":"Taming stable diffusion for text to 360◦ panorama image generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.026997Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:72bb2aa2779040fe6a7a24c4cec72c796b6d7102cd8d0f272cc1e8e2fe8138a9","observation_id":"d7943880-55a9-4b06-90c2-ab6a0777eb95","resolution":{"observed_at":"2026-08-02T08:49:21.026997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.115432Z","title":"Text2mesh: Text-driven neural stylization for meshes,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.115432Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:1f7ee4a1e23ed6514b337f56697290e56c7ad6da7a04b4bacfea4d501e055846","observation_id":"3843718f-377b-4ebc-8fd5-d822ca25c0c3","resolution":{"observed_at":"2026-08-02T08:49:21.115432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.195666Z","title":"Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.195666Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:8d9960ad7d3cebd1f2ee1d7006254e06fd7313fca74f349d4e233e470677bcab","observation_id":"7b47cc55-19a5-492a-91ec-3f88a5dc6574","resolution":{"observed_at":"2026-08-02T08:49:21.195666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.280945Z","title":"Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.280945Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:3fefeaee979bd56c9e620df0ac3270dfc65d75ee4913204374e2b00e3b020f7f","observation_id":"09d90022-2265-4ef9-b52a-ae3cc86cdf52","resolution":{"observed_at":"2026-08-02T08:49:21.280945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.350546Z","title":"Prolific- dreamer: High-fidelity and diverse text-to-3d generation with variational score distillation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.350546Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:82417f23f41c903e2cc31a6baa921a3f396a92169210e0c19a3ac0887289fc39","observation_id":"008ee19e-623f-44a8-b6c3-3a76968e909e","resolution":{"observed_at":"2026-08-02T08:49:21.350546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02234","last_updated":"2024-05-07T03:25:50Z","snapshot_observed_at":"2026-08-16T14:12:59.008691Z","submitted_at":"2024-03-04T17:26:28Z","title":"3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02234","snapshot_observed_at":"2026-08-02T08:49:21.422052Z","title":"3dtopia: Large text-to-3d generation model with hybrid diffusion priors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.422052Z"},"links":{"cited_paper":"/paper/2403.02234","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:947c7a242268cf8f6e85f6ce4369fd903c38abb1b66c891c4f2f817098a2be4e","observation_id":"fad7065c-9af7-4bcc-9545-061179528b02","resolution":{"observed_at":"2026-08-02T08:49:21.422052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.500900Z","title":"Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.500900Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:b03b5fcbc666410d45e9ae0fafb2843d1ed5bdf3547b84d4ace149af9b899647","observation_id":"b14d71c0-c5fd-4862-925a-f9d944e9f9d2","resolution":{"observed_at":"2026-08-02T08:49:21.500900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09242","last_updated":"2023-12-14T18:58:47Z","snapshot_observed_at":"2026-08-17T14:01:49.815844Z","submitted_at":"2023-12-14T18:58:47Z","title":"Text2Immersion: Generative Immersive Scene with 3D Gaussians","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09242","snapshot_observed_at":"2026-08-02T08:49:21.596094Z","title":"Text2immersion: Generative immersive scene with 3d gaussians,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.596094Z"},"links":{"cited_paper":"/paper/2312.09242","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:49ef48c717c0f030c6ab128da51bfdd379987425a251cba01dc6621feb55ba84","observation_id":"562a6693-53e2-4d87-b70c-f55b16becc50","resolution":{"observed_at":"2026-08-02T08:49:21.596094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01133","last_updated":"2023-05-30T08:52:45Z","snapshot_observed_at":"2026-08-17T16:02:00.474920Z","submitted_at":"2023-02-02T14:47:19Z","title":"SceneScape: Text-Driven Consistent Scene Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01133","snapshot_observed_at":"2026-08-02T08:49:21.672629Z","title":"Scenescape: Text- driven consistent scene generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.672629Z"},"links":{"cited_paper":"/paper/2302.01133","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:61ba56d9bcd8167fa46c95be11cb176a094132049de90a48c97e759883718da5","observation_id":"fecfa1e0-4fa8-4fba-81ab-2ee316c34d66","resolution":{"observed_at":"2026-08-02T08:49:21.672629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16892","last_updated":"2024-10-22T10:55:59Z","snapshot_observed_at":"2026-08-17T03:04:09.549355Z","submitted_at":"2024-10-22T10:55:59Z","title":"VistaDream: Sampling multiview consistent images for single-view scene reconstruction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16892","snapshot_observed_at":"2026-08-02T08:49:21.714037Z","title":"Vistadream: Sampling multiview consistent images for single-view scene reconstruc- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.714037Z"},"links":{"cited_paper":"/paper/2410.16892","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:631bb274f47257152b1588aa21da19846d1d76ea3cc66a5b551f6bc048d598f7","observation_id":"c8c6be29-23ae-47bf-ae82-0c69ac6089d0","resolution":{"observed_at":"2026-08-02T08:49:21.714037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.757109Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.757109Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c4f99a8c14e16701d8250647a42c4ad8a52cbc6831d82a8a9720ad2c57303f3a","observation_id":"cd56bcf2-541f-4289-aaec-03ab3fd467de","resolution":{"observed_at":"2026-08-02T08:49:21.757109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12288","last_updated":"2023-02-23T19:13:10Z","snapshot_observed_at":"2026-07-06T14:55:15.719380Z","submitted_at":"2023-02-23T19:13:10Z","title":"ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12288","snapshot_observed_at":"2026-08-02T08:49:21.824683Z","title":"Zoedepth: Zero-shot transfer by combining relative and metric depth,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.824683Z"},"links":{"cited_paper":"/paper/2302.12288","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c81229aabe6c680f5dc4f348a49d6ef19868f73386cadc214450d7ebd8a04b83","observation_id":"48685530-6d04-444c-b7e3-427c163136b2","resolution":{"observed_at":"2026-08-02T08:49:21.824683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.897889Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.897889Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c91c121872ea8cc03d3e27ee4baee467511444bb3f2ff1053a94b3b686fb09bf","observation_id":"8c2b6a1a-a7b9-432d-bbff-93841b413886","resolution":{"observed_at":"2026-08-02T08:49:21.897889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:21.970187Z","title":"Learning a locally unified 3d point cloud for view synthesis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:21.970187Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:96f08d41139b9135b52d7bee0ee82482edc972ab540a53a5f455c49e8b312d5b","observation_id":"48a1aaeb-b5a8-4b30-8e2c-309589cfe696","resolution":{"observed_at":"2026-08-02T08:49:21.970187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.044992Z","title":"pixelnerf: Neural radiance fields from one or few images,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.044992Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:fb86ae5cd9cf4e8dec0c09087320a33143d55ef053dda4813d0570c4a40a82a3","observation_id":"3677a26a-b26c-488d-8553-adc70c8c6d58","resolution":{"observed_at":"2026-08-02T08:49:22.044992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.119643Z","title":"Nope-nerf: Optimising neural radiance field with no pose prior,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.119643Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:f910c67ceea02f137e2944ed196f0b1059c38e1a9e31b1059dc2d8b014cef591","observation_id":"5e80b169-ef32-40c6-90b4-5be1c69514b3","resolution":{"observed_at":"2026-08-02T08:49:22.119643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.192977Z","title":"Latent-nerf for shape-guided generation of 3d shapes and textures,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.192977Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:eb1f531d40f495cc432158590f65e2deabf3e403ff65a579ba95f5d23c3fd9cc","observation_id":"75a306b8-e4bd-46bb-9c98-8c1bf65fca95","resolution":{"observed_at":"2026-08-02T08:49:22.192977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.263467Z","title":"Diffusionerf: Regularizing neural radiance fields with denoising diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.263467Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:b41a257f84f1ba911b7117193e11500bbfdfcbaad299a8da0b40fba82e17a40e","observation_id":"d50fff33-0890-4247-9d5d-2520c0ea3923","resolution":{"observed_at":"2026-08-02T08:49:22.263467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.333752Z","title":"Global structure-from-motion revisited,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.333752Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c9c8f9a2f55875f861c94ed4b81b815e0b27930806dbd3b5cac1dd1d608d6a6b","observation_id":"4d8c931a-b20a-4ee2-abc1-c5ec2e5eaa37","resolution":{"observed_at":"2026-08-02T08:49:22.333752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15259","last_updated":"2024-07-23T13:41:03Z","snapshot_observed_at":"2026-08-18T10:54:02.987164Z","submitted_at":"2024-04-23T17:46:50Z","title":"FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15259","snapshot_observed_at":"2026-08-02T08:49:22.388197Z","title":"Flowmap: High- quality camera poses, intrinsics, and depth via gradient descent,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.388197Z"},"links":{"cited_paper":"/paper/2404.15259","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:cb011b1b038f969ebe98d7ae491a00fc0decaf0a7ddab572c6dd484e531f6b30","observation_id":"66a7bef9-bf1e-46c0-bae5-dc3b218e1143","resolution":{"observed_at":"2026-08-02T08:49:22.388197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.449859Z","title":"Lgm: Large multi-view gaussian model for high-resolution 3d content creation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.449859Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:db0cc9279b82bfa70bca08d5f29c4a5e9a390b58391e288a5d3b780bb8ca6bb4","observation_id":"1bc627fb-f4b0-4abd-94b5-47c1a939b9c9","resolution":{"observed_at":"2026-08-02T08:49:22.449859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.508468Z","title":"Gs-lrm: Large reconstruction model for 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.508468Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:4dd84ea5c24265efc562ba0e9ef7f91bebc5de69b149b61fc74964701a5a4086","observation_id":"0a9f2604-2571-432d-bbc7-6b349b7a0d00","resolution":{"observed_at":"2026-08-02T08:49:22.508468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.601941Z","title":"Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.601941Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:579cc8d838d4497688d2e75bd387149a8a7ebeb2903dd84d65410e40c29bc105","observation_id":"0d7cd906-5ecd-4b57-a08b-bebd5d9e9356","resolution":{"observed_at":"2026-08-02T08:49:22.601941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.663246Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.663246Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:fb867be1cb5b2281fe7a85389995e189dc77df1f475473783d59ef56bd08e75a","observation_id":"871c7418-522d-49c1-97ba-bd5e002898c5","resolution":{"observed_at":"2026-08-02T08:49:22.663246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.729040Z","title":"Pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.729040Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:67b4ec224291114a555f98c7d7c6e708e473dda081f78dfc58c8ed66889d2f21","observation_id":"4b8dff2a-9542-4acd-9e98-c821b566744e","resolution":{"observed_at":"2026-08-02T08:49:22.729040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.794870Z","title":"Splatter image: Ultra- fast single-view 3d reconstruction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.794870Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:107ab1e90a9e186ec22ff7374fe7085bd9a2f50d2a54d9f20e6e8eff863b23d1","observation_id":"4f5bc073-47fa-4fa9-a0ee-7b72f823f8f9","resolution":{"observed_at":"2026-08-02T08:49:22.794870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.860738Z","title":"Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.860738Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:f4d54fc45bd15a552c4b1f38b0cf8aeebd519de71cf4c1bad8e4a21fd0f4cfec","observation_id":"c4428736-7450-44a5-90b3-6343324ec17a","resolution":{"observed_at":"2026-08-02T08:49:22.860738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:22.931072Z","title":"Fsgs: Real-time few-shot view synthesis using gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:22.931072Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:171854644273af54d3490e83c1af67378a83e66151ce6edbcef16a7974a19aab","observation_id":"96c4ad3e-cb8d-4789-a6c2-d4936fd5e1cb","resolution":{"observed_at":"2026-08-02T08:49:22.931072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09394","last_updated":"2025-03-25T01:00:11Z","snapshot_observed_at":"2026-08-16T13:43:13.507178Z","submitted_at":"2024-06-13T17:59:10Z","title":"WonderWorld: Interactive 3D Scene Generation from a Single Image","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09394","snapshot_observed_at":"2026-08-02T08:49:23.015498Z","title":"Wonderworld: Interactive 3d scene generation from a single image,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.015498Z"},"links":{"cited_paper":"/paper/2406.09394","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:d990caa11235707248e1dada26e94aa709b10465cebf4970d5766a46cd082eec","observation_id":"163a5843-b52f-4dd1-9d09-66f546e8605e","resolution":{"observed_at":"2026-08-02T08:49:23.015498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.110842Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.110842Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:dbeb1bc7d03fafebd52d1136bb49cddd061a3c284be138240e6c517d8a0b446e","observation_id":"27b54595-2cad-4ff7-95ec-7803d90f56ba","resolution":{"observed_at":"2026-08-02T08:49:23.110842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.173032Z","title":"Very deep convolutional networks for large-scale image recognition,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.173032Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:8645672092d34e1c0efbeca8c836c0447f86109b22ca5fcaf022d802262a7e5d","observation_id":"1d823817-3987-4de5-96f7-fca6cee52a48","resolution":{"observed_at":"2026-08-02T08:49:23.173032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.262706Z","title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.262706Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c01cff2d4dda16dc47f7f0f941664f1b316fe8f66d78aeb21753ed91b5ef342a","observation_id":"94443692-f20a-4126-8c00-221c5a76c0c4","resolution":{"observed_at":"2026-08-02T08:49:23.262706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.288437Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.288437Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:d9b7194b53ab60e0bc6b4d4307076d786ea0aa1af2fb4d3fedd96888eb612e22","observation_id":"f7999498-ee24-430e-91ce-a987d6d5a68d","resolution":{"observed_at":"2026-08-02T08:49:23.288437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.292779Z","title":"Raft: Recurrent all-pairs field transforms for optical flow,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.292779Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:c7b2b259f4b14062935ce7d7a78a4c1dff19228ca518715a40baff22fff56fc4","observation_id":"0a53df20-3545-45fb-91a9-19d554ecc2a7","resolution":{"observed_at":"2026-08-02T08:49:23.292779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.370256Z","title":"Cotracker: It is better to track together,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.370256Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:8e43d10d52e5608810c86f4d7c62cf8bdc83265f91e26af9410a496cf7fd3e4f","observation_id":"ccadffcb-478c-4cbd-8f70-3fd62fe9ce8a","resolution":{"observed_at":"2026-08-02T08:49:23.370256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18794","last_updated":"2025-03-24T15:40:17Z","snapshot_observed_at":"2026-08-16T12:47:22.288402Z","submitted_at":"2025-03-24T15:40:17Z","title":"NexusGS: Sparse View Synthesis with Epipolar Depth Priors in 3D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18794","snapshot_observed_at":"2026-08-02T08:49:23.473481Z","title":"Nexusgs: Sparse view synthesis with epipolar depth priors in 3d gaussian splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.473481Z"},"links":{"cited_paper":"/paper/2503.18794","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:806e97b703d01652c8ff8ba4f1d8b6203b516bebaeae02b76d9ad166817e66ce","observation_id":"e6c8eb0c-81df-4f76-be13-b8a14051a241","resolution":{"observed_at":"2026-08-02T08:49:23.473481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-02T08:49:23.581311Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.581311Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:97ee806a82e33ee1eff4c653532a34333fd0e11f3a8fa7949d6c2a8cb0cb1eae","observation_id":"1ad5496e-0288-493a-ab8f-5aaaa5fb5b5e","resolution":{"observed_at":"2026-08-02T08:49:23.581311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.742885Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.742885Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:e985dbc0d640da6c87878bc5e717d2c95e85981d43a1ca9252590c73fdd23e4a","observation_id":"6d5f02f5-dc91-4d66-8a34-9cb720893488","resolution":{"observed_at":"2026-08-02T08:49:23.742885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:23.907402Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:23.907402Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:a47821ac117b81cca6b7f158bf412671b54b0f9153df690e21696eacbf8176ca","observation_id":"2dc43013-51be-4609-a342-1e9101637be3","resolution":{"observed_at":"2026-08-02T08:49:23.907402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:24.019396Z","title":"CLIPScore: a reference-free evaluation metric for image captioning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:24.019396Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:50d4d6cac21cd72c2f1b83a273ab961114a32aca194e5fd2137e3f873bd50b9a","observation_id":"1ee8c166-d956-4257-93ec-5c06321f87cf","resolution":{"observed_at":"2026-08-02T08:49:24.019396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:24.023660Z","title":"Q-align: Teaching lmms for visual scoring via discrete text-defined levels,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:24.023660Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:55d38a5d31839109f186279e655b1f3dfe27bcf846ba46783d659fda8cf83cd6","observation_id":"a4be0439-e0a1-4dd3-ab76-372192287557","resolution":{"observed_at":"2026-08-02T08:49:24.023660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:49:24.028010Z","title":"Exploring clip for assessing the look and feel of images,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-02T08:49:24.028010Z"},"links":{"citing_paper":"/paper/2607.03819"},"observation_digest":"sha256:00dab481e08c22f3b43f20a6f64202ab41b17006072839d380d6c5b417e3440d","observation_id":"6877b791-18f8-4579-a444-6da931b514db","resolution":{"observed_at":"2026-08-02T08:49:24.028010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03819","last_updated":"2026-07-23T08:11:10Z","latest_version":3,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-16T03:46:26.409959Z","submitted_at":"2026-07-04T11:06:41Z","title":"CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation"},"reference_resolution":{"displayed":86,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":86,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":86},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2607.03819."}