{"as_of":"2026-08-15T10:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27c8ab9d1fe53de6f8e69ebcf4aeb6a245a89ee70d6f966857e62e15ef898aac","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:22:03.942597Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:28:11.898552Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T13:28:16.336820Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"cited_work":{"arxiv_id":"2412.03517","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.03517","snapshot_observed_at":"2026-08-07T13:28:16.336820Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","venue":"cs.CV","work_id":"aebeb876-a770-4725-9bff-c030c3e4d252","year":2024},"citing_paper":{"arxiv_id":"2505.21876","last_updated":"2026-05-28T08:11:37Z","snapshot_observed_at":"2026-08-14T12:12:34.816304Z","submitted_at":"2025-05-28T01:45:26Z","title":"EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:28:11.898552Z"},"links":{"cited_paper":"/paper/2412.03517","citing_paper":"/paper/2505.21876"},"observation_digest":"sha256:6eb20ceec8c8e31cd3254ca01dc2b3a3f71b885d7e5d179b7e74cb2848c9d10a","observation_id":"a00e6002-1a75-4618-a282-b7e31e57db56","resolution":{"observed_at":"2026-08-07T13:28:16.416705Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.03517/citation-record","integrity":"/paper/2412.03517/integrity","json":"/paper/2412.03517/citation-record.json","paper":"/paper/2412.03517"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-11T22:22:03.731286Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.731286Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:71dc330fd1631f9a6aa9bd7618d9621c0a8964145d744a0406807d3079d46002","observation_id":"27e71c43-362d-4814-bd33-65e155686682","resolution":{"observed_at":"2026-08-11T22:22:03.731286Z","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":"2026-08-11T22:22:03.736961Z","title":"Align your latents: High-resolution video synthesis with la- tent diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.736961Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:318bb52abfa11b6f1b9c5e72a7ca13247fe76385a9a03f56656d7d16624b96ec","observation_id":"f94105c3-1b8f-4900-8eb8-1a9228d34d6b","resolution":{"observed_at":"2026-08-11T22:22:03.736961Z","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":"2026-08-11T22:22:03.741589Z","title":"Generative novel view synthesis with 3d-aware diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.741589Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:0a8a0b5844d259d4110553b6c649847defdbe6c4d9c6dfb615938a4bcf030412","observation_id":"a25729f6-d3e1-4521-a66d-728ad0a41168","resolution":{"observed_at":"2026-08-11T22:22:03.741589Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.631946Z","title":"Objaverse: A universe of annotated 3d objects","venue":null,"work_id":"cde6adeb-fcfb-4954-8748-20f7a3c2fc78","year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.746272Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:76f22c671ceee33b60e8597e8b04b4a333d72eed7be428600048eceb9a4b03f0","observation_id":"3cff81b3-0a11-49b7-a653-4dfd5261e82f","resolution":{"observed_at":"2026-08-11T22:22:04.636596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.750917Z","title":"Image quality assessment: Unifying structure and texture similarity","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.750917Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:762663290dba20dd73dd87da093bac371b5016f78b8284a6b63920d29af6eb62","observation_id":"25b70fb5-541e-40b8-a45f-8adbe16c7c83","resolution":{"observed_at":"2026-08-11T22:22:03.750917Z","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":"2026-08-11T22:22:03.755738Z","title":"Structure and content-guided video synthesis with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.755738Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:58b940cd7c251e019674de1a103e758a6e18d958ef01d1ce5e40e0aa7a0e4113","observation_id":"cb6dcca1-dba5-4892-be15-59dc0284bc2e","resolution":{"observed_at":"2026-08-11T22:22:03.755738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10314","last_updated":"2024-05-16T17:59:05Z","snapshot_observed_at":"2026-08-15T07:34:03.035482Z","submitted_at":"2024-05-16T17:59:05Z","title":"CAT3D: Create Anything in 3D with Multi-View Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10314","snapshot_observed_at":"2026-08-11T22:22:03.760753Z","title":"Cat3d: Create anything in 3d with multi-view diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.760753Z"},"links":{"cited_paper":"/paper/2405.10314","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:508dfeb3c0cd637f31da4c6512c626e2ce5c764dba69cdb261b5b6d1e2909182","observation_id":"4c555108-1bdf-40ba-9d0c-394df0af1b92","resolution":{"observed_at":"2026-08-11T22:22:03.760753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04725","last_updated":"2024-02-08T18:08:57Z","snapshot_observed_at":"2026-08-12T14:50:50.360929Z","submitted_at":"2023-07-10T17:34:16Z","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.04725","snapshot_observed_at":"2026-08-11T22:22:03.765664Z","title":"Animatediff: Animate your personalized text- to-image diffusion models without specific tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.765664Z"},"links":{"cited_paper":"/paper/2307.04725","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:a259741c1dbd3f75e7203ae42853c21f22bb89c2711a8c5f08d831196da32c84","observation_id":"5dae9127-0e82-4b3c-982a-342f4cfacd1f","resolution":{"observed_at":"2026-08-11T22:22:03.765664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02101","last_updated":"2025-03-13T18:35:06Z","snapshot_observed_at":"2026-08-14T21:26:22.545457Z","submitted_at":"2024-04-02T16:52:41Z","title":"CameraCtrl: Enabling Camera Control for Text-to-Video Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02101","snapshot_observed_at":"2026-08-11T22:22:03.770390Z","title":"Cameractrl: Enabling camera control for text-to-video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.770390Z"},"links":{"cited_paper":"/paper/2404.02101","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:81c58335caf082efd9dad6b5fc4ac29a12bca12d49401f04081ce70b51c68555","observation_id":"7f74e477-4d8f-4a9c-9262-5dd7d46e9eb5","resolution":{"observed_at":"2026-08-11T22:22:03.770390Z","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":"2026-08-11T22:22:03.775289Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.775289Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:1f1b88efc7c3b80fb82947fa56fe7249b62c9d82f2852d26a6d96f187df531c9","observation_id":"1f917c63-63bd-43a5-ad3c-b5bb23be2940","resolution":{"observed_at":"2026-08-11T22:22:03.775289Z","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":"2026-08-11T22:22:03.780106Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.780106Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:b42b54604069e42adb87d89b0a3744260c680c87dc62374e475e15023aba89e7","observation_id":"9ec1eb4e-8e75-40c3-8ddd-fd886037980d","resolution":{"observed_at":"2026-08-11T22:22:03.780106Z","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":"2026-08-11T22:22:03.784394Z","title":"Video dif- fusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.784394Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:767269d6e4a2e8bc14a10efbb0fd9b85f0fad9d2acfb7127bb0cccd3a005ef05","observation_id":"e9d72127-397b-45c4-a07f-e13fa924aa2d","resolution":{"observed_at":"2026-08-11T22:22:03.784394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-11T22:22:03.788763Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.788763Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:9b5b48407554fa426e33a7e331ab1eb9115cd2e9c03980fa467fcc6351a5f222","observation_id":"9de9231c-ecb4-4cea-b7f3-f8b9a974811a","resolution":{"observed_at":"2026-08-11T22:22:03.788763Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.471365Z","title":"Spad: Spatially aware multi-view diffusers","venue":null,"work_id":"52e23f16-4627-4fb7-83c5-3a3deb648e82","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.793185Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:b320a4ce17df7011dac22763213b4b6e750da3730bef1a3dc8bf0619825af738","observation_id":"f53093e4-6021-4003-9279-a5fb25bd0a82","resolution":{"observed_at":"2026-08-11T22:22:04.476111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.797593Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.797593Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:adf11ceb8e3d4d807a96f698be921c1c4b31cacf00ca4fc76eed038fa90ed5e5","observation_id":"6e9b4655-1888-4ec9-b48d-ec53383bda0c","resolution":{"observed_at":"2026-08-11T22:22:03.797593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09756","last_updated":"2024-06-14T06:46:30Z","snapshot_observed_at":"2026-08-12T23:42:59.235727Z","submitted_at":"2024-06-14T06:46:30Z","title":"Grounding Image Matching in 3D with MASt3R","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09756","snapshot_observed_at":"2026-08-11T22:22:03.802151Z","title":"Ground- ing image matching in 3d with mast3r","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.802151Z"},"links":{"cited_paper":"/paper/2406.09756","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:ac2fe662ff0ac05e368a1208e5b5c69f1d4c20a66c92c53a29a74a022183aebf","observation_id":"97de97d6-108a-44c3-b89e-e71260e80de8","resolution":{"observed_at":"2026-08-11T22:22:03.802151Z","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":"2026-08-11T22:22:03.806795Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.806795Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:beb4362d4020bdfc169316794af9f9aff25dbf63ae8dd2616df334b65eb5dee1","observation_id":"ce8592b2-cd58-4da3-b082-e255f60644b9","resolution":{"observed_at":"2026-08-11T22:22:03.806795Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.437599Z","title":"Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision","venue":null,"work_id":"ff16f14e-eee7-45e1-bfd2-27fe527df1e2","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.811037Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:2ac9084198a6a9811da4c7ed749d2db65402663d153b6a5293347afd8444483d","observation_id":"fc099590-5406-4ccd-90c3-06b05d6bd77c","resolution":{"observed_at":"2026-08-11T22:22:04.442548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16767","last_updated":"2025-06-25T07:19:44Z","snapshot_observed_at":"2026-08-15T03:14:34.369767Z","submitted_at":"2024-08-29T17:59:40Z","title":"ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16767","snapshot_observed_at":"2026-08-11T22:22:03.815789Z","title":"Re- conx: Reconstruct any scene from sparse views with video diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.815789Z"},"links":{"cited_paper":"/paper/2408.16767","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:3b688a4e841fcfc7788c0735a1608e5b8ab453f2076180a408e202977ea3ada6","observation_id":"0019d001-57bc-421f-99be-e2da14051ffa","resolution":{"observed_at":"2026-08-11T22:22:03.815789Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.423383Z","title":"Zero-1-to- 3: Zero-shot one image to 3d object","venue":null,"work_id":"744be7b3-21ca-4ec2-bcd2-84bb21a23f05","year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.820515Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:48785ad4d115308ccb317f5a3116f422f90f70384bd80ef36049f7ef1c12bb68","observation_id":"960a3ad1-8eaf-4490-bb32-ea4f2d576fb8","resolution":{"observed_at":"2026-08-11T22:22:04.428009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.408468Z","title":"Wonder3d: Sin- gle image to 3d using cross-domain diffusion","venue":null,"work_id":"748087a1-a6e5-4674-8731-e172e8b8377e","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.824816Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:baa012ea8cb9961b8c14c42d9a20e3165f8fe4f110421e2fb56a8ac1ea1357d2","observation_id":"8cdff78c-4453-4049-be7d-749f8fa9f804","resolution":{"observed_at":"2026-08-11T22:22:04.413626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.829001Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.829001Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:e55f92bf7af063a17d4c18dbe9bd50204a63ba413e8c77ad22c9f298ea160f58","observation_id":"f4d5f141-6167-4bb2-8c2d-be88c85fdde8","resolution":{"observed_at":"2026-08-11T22:22:03.829001Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.383961Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"28205875-abf6-4155-a808-3385862745d9","year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.833213Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:99f2fce4f1a3a39dae10e06d6d5a522a8e8e863260ca3ab0e9d2da98e2ac31a3","observation_id":"3ea686ce-09ba-4c55-8e33-599ba938c6e1","resolution":{"observed_at":"2026-08-11T22:22:04.388796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.368600Z","title":"Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction","venue":null,"work_id":"ba63a591-9c1c-4748-831b-d13a2c5c1be1","year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.837759Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:b7b0492400b8471281c78dfdcdc7381b09088258c5d0d59a9f0dafd63930086c","observation_id":"ce34a411-2a3f-47d8-8250-d265a1111e03","resolution":{"observed_at":"2026-08-11T22:22:04.373642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.354015Z","title":"Pixel- synth: Generating a 3d-consistent experience from a single image","venue":null,"work_id":"4f609779-bf4a-41a9-a45d-19633653758b","year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.842320Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:f7cf572cf1796f68c189ab498f02114a72975f84b66279f3120f41310e28032c","observation_id":"ebf9f476-f159-46ed-8884-f5d763bbba36","resolution":{"observed_at":"2026-08-11T22:22:04.358664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.846704Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.846704Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:38464023cfc8a57f02fb3b322070b541b2f9a5197f98e5df4b6aa82036e375be","observation_id":"c2f80667-efe2-4438-83e9-36afb9a88f8a","resolution":{"observed_at":"2026-08-11T22:22:03.846704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15110","last_updated":"2023-10-23T17:18:59Z","snapshot_observed_at":"2026-08-15T06:11:26.743203Z","submitted_at":"2023-10-23T17:18:59Z","title":"Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15110","snapshot_observed_at":"2026-08-11T22:22:03.851386Z","title":"Zero123++: a single image to consistent multi-view dif- fusion base model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.851386Z"},"links":{"cited_paper":"/paper/2310.15110","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:58b39132e20b4769d7df5d2954f7f63dec247bfb521b3f408a485c432f388589","observation_id":"fbfdc388-b2b4-482b-9aa1-0bde7f4a40f8","resolution":{"observed_at":"2026-08-11T22:22:03.851386Z","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":"2026-08-11T22:22:03.855882Z","title":"Light field networks: Neu- ral scene representations with single-evaluation rendering","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.855882Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:b84ac771ccb2325c24635252d992b5e14ab31f5a34bd59b57851e7772020c774","observation_id":"ff62c0e0-80cd-4905-85d5-efb3f5e7f6a8","resolution":{"observed_at":"2026-08-11T22:22:03.855882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-11T22:22:03.860755Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.860755Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:304eb6aa154b693123020cc3b24de1bdd59b963d9ec7214d3d1a8ec109b95628","observation_id":"f3170b0e-2f6e-4d69-886c-efc199066279","resolution":{"observed_at":"2026-08-11T22:22:03.860755Z","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":"2026-08-11T22:22:03.865165Z","title":"Single-view view synthe- sis with multiplane images","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.865165Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:f1b970659107368994f2f2e270f192adebae53f4fdaff0a5bb5c0cb8ecf41e31","observation_id":"24adad0a-db5b-41c9-8e93-f950a27243a9","resolution":{"observed_at":"2026-08-11T22:22:03.865165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01717","last_updated":"2019-03-27T16:43:17Z","snapshot_observed_at":"2026-08-15T00:26:15.250313Z","submitted_at":"2018-12-03T03:57:42Z","title":"Towards Accurate Generative Models of Video: A New Metric & Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01717","snapshot_observed_at":"2026-08-11T22:22:03.870008Z","title":"To- wards accurate generative models of video: A new metric & challenges","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.870008Z"},"links":{"cited_paper":"/paper/1812.01717","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:ec304aacf61046cb3b6b7f463d63aae84c10ef2f4d58da0c15bb0074d4012476","observation_id":"500541ea-aa06-4764-98e3-9028ea06cad3","resolution":{"observed_at":"2026-08-11T22:22:03.870008Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.312382Z","title":"Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion","venue":null,"work_id":"b86f8b0c-27a4-4cc0-abce-9c69a290a769","year":2025},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.874429Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:2fd78711a95fe74a6c2392b41b910e9adfd5f76ccf680d2e257c313d171a7c77","observation_id":"186ec288-d23d-4dab-9471-e14e21824c5a","resolution":{"observed_at":"2026-08-11T22:22:04.317310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.297711Z","title":"Ibr- net: Learning multi-view image-based rendering","venue":null,"work_id":"9d48dce3-fea5-4cc3-a73c-18cb81a2ff6c","year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.879000Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:50edb9b292631baf4b356780cb5b4a5762819f775a9c7a4d2e3410f3895c0942","observation_id":"d61857cd-cf22-4bad-9580-3f4d4d13d87f","resolution":{"observed_at":"2026-08-11T22:22:04.302391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.282672Z","title":"Dust3r: Geometric 3d vi- sion made easy","venue":null,"work_id":"c3347913-439f-4b23-98ee-333344225e0f","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.883439Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:278174d1cf2726faa5d09b76f8bbab77955a1ac5ab9a37d4f12808bd3cfe2bbe","observation_id":"ab273754-7416-4632-a551-c61b33b70f4d","resolution":{"observed_at":"2026-08-11T22:22:04.287431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.888367Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.888367Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:03f7cb8be7d71f2071ac13c63a25015dea84c359409cdc17b4086f5488367b31","observation_id":"76f46eea-5dcb-45be-9d8c-1d02a8a0bbb6","resolution":{"observed_at":"2026-08-11T22:22:03.888367Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.258975Z","title":"Motionctrl: A unified and flexible motion controller for video generation","venue":null,"work_id":"6d172e15-f288-4b36-88d7-5dd093ac2fbc","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.892920Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:979c98bd8499832e3a21649ad5fca9a5ddff341c20a3cd698fc2076a56b5fc4b","observation_id":"ca361dd2-8cff-41c0-9e12-220f5d023a0c","resolution":{"observed_at":"2026-08-11T22:22:04.263660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.897475Z","title":"Synsin: End-to-end view synthesis from a sin- gle image","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.897475Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:29e8965e3901e97d85d30bb477e7f4e435fc31fc29633f8ac14f3049c6198fed","observation_id":"a14c86e2-5492-417a-b523-29ced914f0a5","resolution":{"observed_at":"2026-08-11T22:22:03.897475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.17250","last_updated":"2023-12-28T18:59:57Z","snapshot_observed_at":"2026-08-13T04:52:37.127375Z","submitted_at":"2023-12-28T18:59:57Z","title":"iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.17250","snapshot_observed_at":"2026-08-11T22:22:03.901953Z","title":"ifusion: Inverting diffusion for pose- free reconstruction from sparse views","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.901953Z"},"links":{"cited_paper":"/paper/2312.17250","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:2b1fb1f1e1c29efda40b35184e2cc0f6a468ee964f1e27137dc299ce517d74c3","observation_id":"39d53e22-371b-45c6-8563-efa81cce81a9","resolution":{"observed_at":"2026-08-11T22:22:03.901953Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.236291Z","title":"Reconfusion: 3d reconstruction with diffusion priors","venue":null,"work_id":"acbf45bf-74d3-4628-b724-a6d3025a0889","year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.906398Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:8efffada12cc834cabae5fba8e516e3a2958e0d1c24e0ee182b5e2f967b7a517","observation_id":"83a200c8-3148-454f-8ddd-975280eb72c2","resolution":{"observed_at":"2026-08-11T22:22:04.240908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.222137Z","title":"Dynamicrafter: Animating open-domain images with video diffusion priors","venue":null,"work_id":"19741181-3b24-478a-a005-5d7f37c25217","year":2025},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.910893Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:1d1c4d1ffe8b7dad89dfb575a6d7f21b3d5977e6b52047278e65b608b9ae52aa","observation_id":"784e562b-1dcc-4bbe-ac30-19e431a2d629","resolution":{"observed_at":"2026-08-11T22:22:04.226537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.207513Z","title":"Sparp: Fast 3d object reconstruction and pose estimation from sparse views","venue":null,"work_id":"50226b1e-ccf5-4e3f-8b54-6a0c9371081a","year":2025},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.915266Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:c475e4e97e48a43ed5d1949cc90e03c3b59b2c7a515de65c5456e8f0a8e2cb20","observation_id":"2e315db8-ce16-45a6-b612-974feb2a0e9b","resolution":{"observed_at":"2026-08-11T22:22:04.212301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:03.919414Z","title":"pixelnerf: Neural radiance fields from one or few images","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.919414Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:7d887af29f2bb6482963a78b9d656f60f224093442d2f0c160eeec6ccb90b108","observation_id":"421fe8ef-4ed7-4c21-a314-5b7e14930b20","resolution":{"observed_at":"2026-08-11T22:22:03.919414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02048","last_updated":"2024-09-03T16:53:19Z","snapshot_observed_at":"2026-08-14T12:22:44.567374Z","submitted_at":"2024-09-03T16:53:19Z","title":"ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02048","snapshot_observed_at":"2026-08-11T22:22:03.923958Z","title":"Viewcrafter: Taming video diffusion models for high-fidelity novel view synthesis.arXiv preprint arXiv:2409.02048, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.923958Z"},"links":{"cited_paper":"/paper/2409.02048","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:6e70df81f12bdb62ade8c5cf98f6898ccc4beb7a5651dbd419f0960080f84621","observation_id":"8ade66cb-e5c5-40a7-880b-45dbfa155a6a","resolution":{"observed_at":"2026-08-11T22:22:03.923958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05003","last_updated":"2024-11-07T18:59:45Z","snapshot_observed_at":"2026-08-14T09:36:59.777759Z","submitted_at":"2024-11-07T18:59:45Z","title":"ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05003","snapshot_observed_at":"2026-08-11T22:22:03.928625Z","title":"Jacobs, Yael Pritch, Inbar Mosseri, Mike Zheng Shou, Neal Wadhwa, and Nataniel Ruiz","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.928625Z"},"links":{"cited_paper":"/paper/2411.05003","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:9e49c820a5e64191061f7805cfc6f0d05c03838157684c3cbf8e88224306056e","observation_id":"fa391b69-40c2-4a6b-aeb1-778a8bb1cd11","resolution":{"observed_at":"2026-08-11T22:22:03.928625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14817","last_updated":"2024-04-04T16:27:06Z","snapshot_observed_at":"2026-08-13T04:12:36.548364Z","submitted_at":"2024-02-22T18:59:56Z","title":"Cameras as Rays: Pose Estimation via Ray Diffusion","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14817","snapshot_observed_at":"2026-08-11T22:22:03.933727Z","title":"Cameras as rays: Pose estimation via ray diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.933727Z"},"links":{"cited_paper":"/paper/2402.14817","citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:abb273dd6d97f62afa14cb3d4a0693a955ac18c7ef2bbe4c1d675db351ad1a44","observation_id":"88459cbb-f5e4-4f0e-8857-4053f6ca1f7b","resolution":{"observed_at":"2026-08-11T22:22:03.933727Z","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":"2026-08-11T22:22:03.938151Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.938151Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:138d4ddeb4e4e7ec6e67c468bf897b085a9ca69ef6aeeb7baaf727afb4dcc7bc","observation_id":"8fc6da66-a652-4ed7-a1e9-c5be771441c0","resolution":{"observed_at":"2026-08-11T22:22:03.938151Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:22:04.171506Z","title":"Stereo magnification: Learning view 10 synthesis using multiplane images","venue":null,"work_id":"d1eeb5b2-f715-4182-ad07-13ce9f8956dd","year":null},"citing_paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T22:22:03.942597Z"},"links":{"citing_paper":"/paper/2412.03517"},"observation_digest":"sha256:ba82569ffee6a099b884777c733a416bf8b9d24b58e891b5fcc63ad642256adf","observation_id":"cf27923b-d460-4f75-a9b6-dbb5b05f87ef","resolution":{"observed_at":"2026-08-11T22:22:04.178145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.03517","last_updated":"2024-12-06T13:56:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T09:07:26.144979Z","submitted_at":"2024-12-04T17:58:03Z","title":"NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":47},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2412.03517."}