{"as_of":"2026-08-10T03:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dacb601ef6b8dbb3f6838827d3eaca70f60ccc952544608f036c12fd0b2711cd","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":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:44:53.305218Z","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":"2026-07-03T14:08:22.382026Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2308.16512","last_updated":"2024-04-18T04:12:32Z","snapshot_observed_at":"2026-07-06T16:12:38.269310Z","submitted_at":"2023-08-31T07:49:06Z","title":"MVDream: Multi-view Diffusion for 3D Generation","version":4},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-05-15T08:36:19.457852Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2308.16512"},"observation_digest":"sha256:514f754dc9dab7100ae1ac4b29ffbce6b5016d4a0a454082a756fc9e938c36c7","observation_id":"80da4cc7-9e8d-4521-b959-03981ac81014","resolution":{"observed_at":"2026-05-15T08:36:19.581959Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2401.16764","last_updated":"2026-05-03T08:30:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-30T05:59:00Z","title":"BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-24T04:35:57.539388Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2401.16764"},"observation_digest":"sha256:1c5a6a0068743e6ab5dfdb2cfc1c399307caf072a8b12129dd96452f1ffdce68","observation_id":"94866317-76cd-4c7c-ba6c-a98c4b760d74","resolution":{"observed_at":"2026-05-24T04:36:00.762968Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2504.10466","last_updated":"2026-04-16T20:44:44Z","snapshot_observed_at":"2026-07-06T21:09:17.062196Z","submitted_at":"2025-04-14T17:53:10Z","title":"Art3D: Training-Free 3D Generation from Flat-Colored Illustration","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T19:41:13.763851Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2504.10466"},"observation_digest":"sha256:5e06bf50294c6e7efbf927b61e75de491c507e06fbe69d72e54b3b62708c81bb","observation_id":"c1e9d2f3-21eb-4c2e-8a4f-84a0cd45cdc9","resolution":{"observed_at":"2026-05-22T19:42:01.069338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-07T13:44:53.305218Z","title":"Meshd- iffusion: Score-based generative 3d mesh modeling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21050","last_updated":"2025-05-28T05:14:46Z","snapshot_observed_at":"2026-08-07T13:35:48.144286Z","submitted_at":"2025-05-27T11:35:35Z","title":"Advancing high-fidelity 3D and Texture Generation with 2.5D latents","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:44:53.305218Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2505.21050"},"observation_digest":"sha256:26419bd194f91f6a3a6a81255b070d267270b6a9f8988a3dbc2df4b653e62ba0","observation_id":"cfddbd3b-4b80-47fa-b1c0-4017d68aa283","resolution":{"observed_at":"2026-08-07T13:44:53.305218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-07T04:40:15.883784Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling.arXiv preprint arXiv:2303.08133, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09980","last_updated":"2025-06-11T17:55:03Z","snapshot_observed_at":"2026-08-08T06:47:57.252857Z","submitted_at":"2025-06-11T17:55:03Z","title":"Efficient Part-level 3D Object Generation via Dual Volume Packing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:40:15.883784Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2506.09980"},"observation_digest":"sha256:55d557098dca36a7a7210ab1485476f7a3b18c86591226474b638e9c5f0a34bf","observation_id":"e4154cc2-2277-4ff8-b081-1e3883c09862","resolution":{"observed_at":"2026-08-07T04:40:15.883784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-07T04:39:01.740022Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11163","last_updated":"2025-06-11T20:34:08Z","snapshot_observed_at":"2026-08-07T04:30:26.593468Z","submitted_at":"2025-06-11T20:34:08Z","title":"Vector Representations of Vessel Trees","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T04:39:01.740022Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2506.11163"},"observation_digest":"sha256:e506b721fbe316ac4303087c719b36557b9b671f5ad871bb6939b85102baf2d8","observation_id":"f796203a-7adc-41ab-8a74-9a98d48b0e8a","resolution":{"observed_at":"2026-08-07T04:39:01.740022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-06T19:29:48.923620Z","title":"Meshdif- fusion: Score-based generative 3d mesh modeling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05499","last_updated":"2025-07-07T21:46:50Z","snapshot_observed_at":"2026-08-08T05:59:41.172124Z","submitted_at":"2025-07-07T21:46:50Z","title":"LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:29:48.923620Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2507.05499"},"observation_digest":"sha256:bba933e0c6fbf07ed8ba7ac3d61ebe5029fe04ae82c7cca9ee971b50217db819","observation_id":"84337cb4-a61a-474e-83ba-e5b8be7ae7e8","resolution":{"observed_at":"2026-08-06T19:29:48.923620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2507.15753","last_updated":"2026-04-24T13:01:43Z","snapshot_observed_at":"2026-08-05T13:24:42.047640Z","submitted_at":"2025-07-21T16:09:26Z","title":"Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-19T04:18:32.034089Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2507.15753"},"observation_digest":"sha256:26f482ab09e309ed104c1750e3e0bdc9adb5d3bc2b660ac4fd9cd9eee204803d","observation_id":"701b0c34-9a5c-4a96-9b43-c28ce0317b4b","resolution":{"observed_at":"2026-05-19T04:22:04.057442Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-05T18:07:12.714302Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15228","last_updated":"2026-06-18T16:33:14Z","snapshot_observed_at":"2026-08-07T23:02:29.902512Z","submitted_at":"2025-08-21T04:31:14Z","title":"Collaborative Multi-Modal Coding for High-Quality 3D Generation","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T18:07:12.714302Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2508.15228"},"observation_digest":"sha256:af1d50ab0885fe01c9333d96bf12b3a491f86889846be27ac7b3ab7d173629d6","observation_id":"488e2cce-70a5-4cd9-9bc3-7a3368d11e17","resolution":{"observed_at":"2026-08-05T18:07:12.714302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-05T12:43:34.102951Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01492","last_updated":"2025-09-01T14:11:59Z","snapshot_observed_at":"2026-08-08T16:21:56.627652Z","submitted_at":"2025-09-01T14:11:59Z","title":"A Continuous-Time Consistency Model for 3D Point Cloud Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T12:43:34.102951Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2509.01492"},"observation_digest":"sha256:4eca7ae9f8f58547b42b4082ebf8f4396e5695660693a5e3b1b732433ce92b03","observation_id":"e66623ea-f63e-40c0-9a60-f33447ac5c9c","resolution":{"observed_at":"2026-08-05T12:43:34.102951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2605.19305","last_updated":"2026-05-19T03:33:52Z","snapshot_observed_at":"2026-08-01T12:10:41.327616Z","submitted_at":"2026-05-19T03:33:52Z","title":"Mat\\'ern Noise for Triangulation-Agnostic Flow Matching on Meshes","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-20T02:53:56.937465Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2605.19305"},"observation_digest":"sha256:e2f80df23db9f09523b74f17d73f41f861debef9308f0da8f9f18454965581b2","observation_id":"88b728a9-6d31-46b0-b073-18838d5f0312","resolution":{"observed_at":"2026-05-20T02:58:00.297436Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2605.24805","last_updated":"2026-05-24T01:38:43Z","snapshot_observed_at":"2026-08-02T08:21:59.566797Z","submitted_at":"2026-05-24T01:38:43Z","title":"Fishbone: From One 3D Asset to a Million Controllable Edits","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T12:28:35.952460Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2605.24805"},"observation_digest":"sha256:502e5b8732bd572b7c0a8085eb52dfb0103d118f2e47a4bdf1f433403e7cb3e8","observation_id":"80c2ddd2-a151-4e5a-8ffc-fd86747ab785","resolution":{"observed_at":"2026-06-30T12:34:38.696561Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2606.08440","last_updated":"2026-06-07T03:37:55Z","snapshot_observed_at":"2026-08-08T15:45:45.700824Z","submitted_at":"2026-06-07T03:37:55Z","title":"GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T18:47:30.907614Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2606.08440"},"observation_digest":"sha256:af306e85c6954f3559c637166c72d82ee0be71c724962286db0eb14f2a04413b","observation_id":"e2b04770-e5b3-46f7-8b6d-bc27a294870a","resolution":{"observed_at":"2026-07-02T22:37:25.834398Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2606.08957","last_updated":"2026-06-08T02:59:15Z","snapshot_observed_at":"2026-08-06T21:10:36.706776Z","submitted_at":"2026-06-08T02:59:15Z","title":"Rethinking 3D Shape Generation: Diffusion over Superquadrics","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-27T17:20:03.335953Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2606.08957"},"observation_digest":"sha256:1b497858f1fba9a92b993813b101d36d2fb233a1b565622b7aea15cf18b27c06","observation_id":"740eb23a-0948-4816-98c2-a3be53a0b1ba","resolution":{"observed_at":"2026-07-03T00:17:29.276301Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":"2303.08133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-03T14:08:22.382026Z","title":"Meshdiffusion: Score-based generative 3d mesh model- ing.arXiv preprint arXiv:2303.08133","venue":null,"work_id":"d5c8adaf-a0a8-4709-b776-d30fb9dfd070","year":2023},"citing_paper":{"arxiv_id":"2606.13364","last_updated":"2026-06-11T13:49:23Z","snapshot_observed_at":"2026-07-06T23:52:09.853158Z","submitted_at":"2026-06-11T13:49:23Z","title":"VideoMDM: Towards 3D Human Motion Generation From 2D Supervision","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T07:10:42.987128Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2606.13364"},"observation_digest":"sha256:0641c7ae4d33daf6efdc3491a1dd94e57b6dd5e951f293ff64098c280c0b8f55","observation_id":"4371194b-99e6-483b-887f-535473d97330","resolution":{"observed_at":"2026-07-03T14:08:22.383403Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-14T10:25:21.251496Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling.arXiv preprint arXiv:2303.08133, 2023b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10623","last_updated":"2026-07-20T15:29:09Z","snapshot_observed_at":"2026-08-08T11:28:58.333508Z","submitted_at":"2026-07-12T07:38:06Z","title":"LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T10:25:21.251496Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2607.10623"},"observation_digest":"sha256:50bb361085a18c3e58b3f0e8036fd2252394ca1bdcf980d996960e671bb23493","observation_id":"ea2c2d4e-8a60-490f-8f82-d2c1d4ceed10","resolution":{"observed_at":"2026-07-14T10:25:21.251496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-02T07:15:49.186961Z","title":"Meshdiffusion: Score-based generative 3d mesh modeling.arXiv preprint arXiv:2303.08133, 2023b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10623","last_updated":"2026-07-20T15:29:09Z","snapshot_observed_at":"2026-08-08T11:28:58.333508Z","submitted_at":"2026-07-12T07:38:06Z","title":"LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T07:15:49.186961Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2607.10623"},"observation_digest":"sha256:2d3d70c045012266a2a938356da72c410a1b265bf76ffe3a23336a6fa38dc56c","observation_id":"7a9a1154-e540-4d2f-80a0-9e9cdb620881","resolution":{"observed_at":"2026-08-02T07:15:49.186961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-07-30T11:23:47.691980Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.27093","last_updated":"2026-07-29T16:23:08Z","snapshot_observed_at":"2026-08-07T21:58:22.362725Z","submitted_at":"2026-07-29T16:23:08Z","title":"A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-30T11:23:47.691980Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2607.27093"},"observation_digest":"sha256:2c2568cab4be5b7c2e08f9dd2043e19732337fba88ddb606afa73c34b9a5975b","observation_id":"78266a09-dfaa-49a2-8998-8f82881d7f02","resolution":{"observed_at":"2026-07-30T11:23:47.691980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-04T13:44:53.079442Z","title":"arXiv preprint arXiv:2303.08133 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02151","last_updated":"2026-08-04T05:55:35Z","snapshot_observed_at":"2026-08-10T00:59:47.583159Z","submitted_at":"2026-08-03T12:35:20Z","title":"Fourier-Latent Diffusion for Constrained Generation of Triply Periodic Minimal Surfaces","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T13:44:53.079442Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2608.02151"},"observation_digest":"sha256:6cc4222e76f7e07e4b56c71cacf4aa6acda1a0d7071aba7240a93bd8508b93b7","observation_id":"0652d265-85fb-4553-b1f9-d6591716731b","resolution":{"observed_at":"2026-08-04T13:44:53.079442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08133","snapshot_observed_at":"2026-08-07T00:16:27.614898Z","title":"arXiv preprint arXiv:2303.08133 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02151","last_updated":"2026-08-04T05:55:35Z","snapshot_observed_at":"2026-08-10T00:59:47.583159Z","submitted_at":"2026-08-03T12:35:20Z","title":"Fourier-Latent Diffusion for Constrained Generation of Triply Periodic Minimal Surfaces","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:16:27.614898Z"},"links":{"cited_paper":"/paper/2303.08133","citing_paper":"/paper/2608.02151"},"observation_digest":"sha256:a986c8dbce580a7bd5f17c127e7c0a2d870fe9172fbfd40b6653f509e1630370","observation_id":"701520ed-bc50-49d3-ab6a-f389e56ce67a","resolution":{"observed_at":"2026-08-07T00:16:27.614898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.08133/citation-record","integrity":"/paper/2303.08133/integrity","json":"/paper/2303.08133/citation-record.json","paper":"/paper/2303.08133"},"outbound":[],"paper":{"arxiv_id":"2303.08133","last_updated":"2023-04-15T09:35:51Z","latest_version":2,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-06T08:51:12.571232Z","submitted_at":"2023-03-14T17:59:01Z","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2303.08133."}