{"as_of":"2026-08-07T06:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aad4287fc7bbc906a3e34e9029dae80e78ba36697b10ea4287ff688d0815b25c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:18:32.359269Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T18:55:58.529588Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2401.03890","last_updated":"2026-04-09T05:33:48Z","snapshot_observed_at":"2026-08-02T14:35:25.400234Z","submitted_at":"2024-01-08T13:42:59Z","title":"A Survey on 3D Gaussian Splatting","version":9},"reference_index":139,"source":"pdf_text","source_observed_at":"2026-05-24T04:17:05.906282Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2401.03890"},"observation_digest":"sha256:6d369708502f485f59f583cf8a3693bfe8ffb525f632335b3668f2dd22dd4978","observation_id":"ad562805-5a80-494f-abc8-c7b673cd4600","resolution":{"observed_at":"2026-05-24T04:18:54.328892Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2412.09176","last_updated":"2026-04-15T06:25:02Z","snapshot_observed_at":"2026-08-02T17:12:11.404687Z","submitted_at":"2024-12-12T11:06:36Z","title":"LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-23T07:32:39.047695Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2412.09176"},"observation_digest":"sha256:7754516570de7de51d24421a26ad33c485fbad62af3905dabf4c09e05e1bd62b","observation_id":"98ef6788-caa0-47b8-93d7-d0c116a7d573","resolution":{"observed_at":"2026-05-23T07:32:42.641668Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-07T04:18:32.359269Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10980","last_updated":"2025-06-12T17:59:55Z","snapshot_observed_at":"2026-08-07T04:10:29.641856Z","submitted_at":"2025-06-12T17:59:55Z","title":"InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:18:32.359269Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2506.10980"},"observation_digest":"sha256:4e9fc6673d9337a51abe286e83144b6a4a571a691adb0d644eeee27dc6a49abe","observation_id":"0f270ba2-a958-42a0-bebf-4d35da61999a","resolution":{"observed_at":"2026-08-07T04:18:32.359269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-07T04:08:24.541006Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15821","last_updated":"2025-06-13T11:31:44Z","snapshot_observed_at":"2026-08-07T04:01:59.028880Z","submitted_at":"2025-06-13T11:31:44Z","title":"VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:08:24.541006Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2506.15821"},"observation_digest":"sha256:38dcc7b6cbc646407cb04b6eceadbfe2955ee737485de20795a2d4aa834162f6","observation_id":"61ad8488-bb1a-4a84-82b3-00297debeec8","resolution":{"observed_at":"2026-08-07T04:08:24.541006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-06T21:21:08.195285Z","title":"Infusion: Inpainting 3d gaussians via learn- ing depth completion from diffusion prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00429","last_updated":"2025-07-01T04:57:08Z","snapshot_observed_at":"2026-08-06T21:13:21.001407Z","submitted_at":"2025-07-01T04:57:08Z","title":"DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:21:08.195285Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2507.00429"},"observation_digest":"sha256:30c6fc3d4e94b2f2ac057aeff5ca6fdbe1791cabcbb6ac8e4e1ef16006c4b65d","observation_id":"f435c53b-9bc7-4da7-9381-03d154588501","resolution":{"observed_at":"2026-08-06T21:21:08.195285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-06T18:24:51.799186Z","title":"Infusion: Inpainting 3d gaussians via learn- ing depth completion from diffusion prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08416","last_updated":"2025-07-21T12:20:18Z","snapshot_observed_at":"2026-08-06T18:16:47.596432Z","submitted_at":"2025-07-11T08:57:45Z","title":"InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.799186Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2507.08416"},"observation_digest":"sha256:840a286bb8997d7bb34b3d39646f4896de5aa7bd4dac4c3b42e5dbc739bad64d","observation_id":"7a290962-6c3e-402b-a29f-5a324ba56dfb","resolution":{"observed_at":"2026-08-06T18:24:51.799186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-06T18:25:39.853796Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08434","last_updated":"2025-07-11T09:26:07Z","snapshot_observed_at":"2026-08-06T18:16:29.202328Z","submitted_at":"2025-07-11T09:26:07Z","title":"RePaintGS: Reference-Guided Gaussian Splatting for Realistic and View-Consistent 3D Scene Inpainting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:25:39.853796Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2507.08434"},"observation_digest":"sha256:137afc4067eabe6158eb5c8082d0a49fe74c6af743d839a799cee6141c0f9e02","observation_id":"0893741f-6c81-48de-ae5a-7f3cc2e86461","resolution":{"observed_at":"2026-08-06T18:25:39.853796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-06T14:44:57.995526Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18023","last_updated":"2025-07-24T01:48:50Z","snapshot_observed_at":"2026-08-06T14:36:27.853085Z","submitted_at":"2025-07-24T01:48:50Z","title":"High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:44:57.995526Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2507.18023"},"observation_digest":"sha256:92ee7602774f9a873b778cb4d6b631cd816742be1308e632f79e7f942c78460c","observation_id":"57b0076a-5509-4c4b-bd8e-6a9591ee7106","resolution":{"observed_at":"2026-08-06T14:44:57.995526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2508.09977","last_updated":"2026-04-11T08:26:14Z","snapshot_observed_at":"2026-07-06T22:12:31.023627Z","submitted_at":"2025-08-13T17:44:39Z","title":"A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation","version":4},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-05-18T22:39:24.200019Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2508.09977"},"observation_digest":"sha256:4c7e69e1df7314be31c51a826181512c9e84aeca2a20ce6bec052cd3ecd89610","observation_id":"4ff073c8-998a-4d32-b013-1068a2d23994","resolution":{"observed_at":"2026-05-18T22:41:53.371165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-05T16:32:30.851009Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.18271","last_updated":"2026-05-27T17:09:12Z","snapshot_observed_at":"2026-08-05T16:32:05.772456Z","submitted_at":"2025-08-25T17:59:40Z","title":"ObjFiller3D: Scaling 3D Object Inpainting to Dense Multi-View Consistency","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T16:32:30.851009Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2508.18271"},"observation_digest":"sha256:8d331dbbbba0392012dd4e781ab8e36f029b5b425bf6e5e37dd1e62b1291cc5f","observation_id":"b76e7f82-0d0d-445e-ad8b-a0e897557a14","resolution":{"observed_at":"2026-08-05T16:32:30.851009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-04T21:45:18.875380Z","title":"InFusion: Inpainting 3d gaussians via learn- ing depth completion from diffusion prior.arXiv preprint arXiv:2404.11613, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07809","last_updated":"2025-09-09T14:47:47Z","snapshot_observed_at":"2026-08-04T21:45:16.847119Z","submitted_at":"2025-09-09T14:47:47Z","title":"SplatFill: 3D Scene Inpainting via Depth-Guided Gaussian Splatting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T21:45:18.875380Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2509.07809"},"observation_digest":"sha256:08a3534258d4d76f9f42b0635b3ebe7e7ffa603aa76e44dc5c4f7971b9078ee6","observation_id":"676997ea-5ace-4a73-9497-3e460f00d16d","resolution":{"observed_at":"2026-08-04T21:45:18.875380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2604.04331","last_updated":"2026-04-06T00:47:42Z","snapshot_observed_at":"2026-07-06T22:53:20.122451Z","submitted_at":"2026-04-06T00:47:42Z","title":"GA-GS: Generation-Assisted Gaussian Splatting for Static Scene Reconstruction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T20:07:26.395290Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2604.04331"},"observation_digest":"sha256:4be64292c91ee83c28044ff902a3f72c1da08b105c32d319407aaf5d972b2668","observation_id":"ad8d3798-500c-49bd-8bc4-d9aef684c37a","resolution":{"observed_at":"2026-05-10T22:15:48.499138Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2605.00498","last_updated":"2026-05-01T08:20:47Z","snapshot_observed_at":"2026-07-06T23:13:57.367556Z","submitted_at":"2026-05-01T08:20:47Z","title":"GOR-IS: 3D Gaussian Object Removal in the Intrinsic Space","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-09T19:44:58.711233Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2605.00498"},"observation_digest":"sha256:b51fcfae7daf631e0c470b04ade755770eed403b8962a5ebaac766efa7a6a4dd","observation_id":"a29adc40-b555-4ae3-8cef-ac97eec42476","resolution":{"observed_at":"2026-05-11T15:31:21.276531Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2605.15843","last_updated":"2026-05-15T10:56:23Z","snapshot_observed_at":"2026-07-06T23:27:05.961780Z","submitted_at":"2026-05-15T10:56:23Z","title":"WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-20T19:58:06.536869Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2605.15843"},"observation_digest":"sha256:536bb87469b495f350d0637c68277df43bf969df31a90662a8141ba0d4f9b211","observation_id":"fc06422f-ecf4-4849-a1a4-1298bd6b162c","resolution":{"observed_at":"2026-05-20T19:58:58.725540Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2605.19974","last_updated":"2026-05-19T15:19:16Z","snapshot_observed_at":"2026-07-06T23:30:39.512029Z","submitted_at":"2026-05-19T15:19:16Z","title":"SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T06:31:19.245972Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2605.19974"},"observation_digest":"sha256:075d3334e3caa3a60f0b018242123d6eaff1e243eeafaf38bb17b984607fd0e1","observation_id":"d9738b5b-77e0-4bfa-a278-678d378d1aa7","resolution":{"observed_at":"2026-05-20T06:33:05.664640Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2606.27584","last_updated":"2026-06-25T22:24:27Z","snapshot_observed_at":"2026-08-05T05:36:14.298291Z","submitted_at":"2026-06-25T22:24:27Z","title":"CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-06-29T01:26:09.363335Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2606.27584"},"observation_digest":"sha256:63d118abfb064e95120dec09ec3edce4b991fd7c05d4361c07e3aae204307409","observation_id":"de00a807-90fb-405d-b845-2467f7072052","resolution":{"observed_at":"2026-07-01T18:55:58.531186Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2606.29303","last_updated":"2026-06-30T09:06:34Z","snapshot_observed_at":"2026-07-07T00:03:16.968118Z","submitted_at":"2026-06-28T09:50:46Z","title":"Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T07:53:14.854330Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2606.29303"},"observation_digest":"sha256:0dcf8196c861982169eaa8bfb0881568c8b156e231565bf6c9ed8df96d777c9d","observation_id":"ca9f94c2-60b9-4d2a-9f90-8ebd48bebb5a","resolution":{"observed_at":"2026-06-30T07:54:21.779035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":"2404.11613","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-01T18:55:58.529588Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior","venue":null,"work_id":"2c731d5a-63c7-4eab-a6cd-51652ab4785f","year":2024},"citing_paper":{"arxiv_id":"2606.29303","last_updated":"2026-06-30T09:06:34Z","snapshot_observed_at":"2026-07-07T00:03:16.968118Z","submitted_at":"2026-06-28T09:50:46Z","title":"Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-01T07:00:20.609727Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2606.29303"},"observation_digest":"sha256:84eeb1dbb2e0416ec9a70661ac1671b55d92f2652b2b7de525ecd603d5606841","observation_id":"6ed0349b-e44b-4c69-8f79-6495f8ab38ae","resolution":{"observed_at":"2026-07-01T07:05:29.193972Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-07-11T21:22:53.477128Z","title":"Infusion: Inpainting 3d gaussians via learning depth completion from diffusion prior,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04144","last_updated":"2026-07-05T07:11:48Z","snapshot_observed_at":"2026-07-30T01:36:48.382759Z","submitted_at":"2026-07-05T07:11:48Z","title":"Semantic-Guided Progressive Object Removal with Gaussian Splatting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T21:22:53.477128Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2607.04144"},"observation_digest":"sha256:a123fc485ea80164e05b57fbc034b45f3cbf50b5c94123b45c09115d3bde8af8","observation_id":"446cc0ed-b3e8-4049-9502-0666eb32f148","resolution":{"observed_at":"2026-07-11T21:22:53.477128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-02T07:25:12.214754Z","title":"arXiv preprint arXiv:2404.11613 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16286","last_updated":"2026-07-11T12:52:58Z","snapshot_observed_at":"2026-08-06T12:26:07.795036Z","submitted_at":"2026-07-11T12:52:58Z","title":"Depth Estimators Are Implicit Neural Fields for 3D Scene Geometry Inpainting and Reconstruction","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-02T07:25:12.214754Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2607.16286"},"observation_digest":"sha256:79ac57f824f42f7995137432d19948d3404df7629e2226be5dfd53e8d4c53912","observation_id":"5b2bfb85-f51b-490f-bc10-afa34177373a","resolution":{"observed_at":"2026-08-02T07:25:12.214754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-01T09:27:29.622881Z","title":"arXiv preprint arXiv:2404.11613 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20789","last_updated":"2026-07-22T23:27:20Z","snapshot_observed_at":"2026-08-07T04:18:15.359163Z","submitted_at":"2026-07-22T23:27:20Z","title":"3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T09:27:29.622881Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2607.20789"},"observation_digest":"sha256:bf12469994d79b09a5fbc2c5254f7876f584147ec8a039e80e0c30ee4f969eeb","observation_id":"97c8aa68-0df8-4412-a7be-557b3c35bd22","resolution":{"observed_at":"2026-08-01T09:27:29.622881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11613","snapshot_observed_at":"2026-08-06T23:35:11.188006Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04475","last_updated":"2026-08-05T05:58:30Z","snapshot_observed_at":"2026-08-07T06:28:13.072411Z","submitted_at":"2026-08-05T05:58:30Z","title":"Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:11.188006Z"},"links":{"cited_paper":"/paper/2404.11613","citing_paper":"/paper/2608.04475"},"observation_digest":"sha256:5537ab32e0b4ab7e6352467aea679bef57e7605bdd5556acf4d81ecac4c8b717","observation_id":"969f816f-5366-40b8-9a46-a3fedc8419d0","resolution":{"observed_at":"2026-08-06T23:35:11.188006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.11613/citation-record","integrity":"/paper/2404.11613/integrity","json":"/paper/2404.11613/citation-record.json","paper":"/paper/2404.11613"},"outbound":[],"paper":{"arxiv_id":"2404.11613","last_updated":"2024-04-17T17:59:53Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:01:45.549839Z","submitted_at":"2024-04-17T17:59:53Z","title":"InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2404.11613."}