{"as_of":"2026-08-16T10:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:89899185c79731ef1b7aff17040cbff63160657779edf0162e74b14c809765d9","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:16:26.999194Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-06T16:29:16.560277Z","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":"2026-08-06T16:29:18.756255Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"cited_work":{"arxiv_id":"2411.17392","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17392","snapshot_observed_at":"2026-08-06T16:29:18.756255Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","venue":"cs.CV","work_id":"bbfb854b-f266-4f17-bb41-70f89f1833fe","year":2024},"citing_paper":{"arxiv_id":"2507.13595","last_updated":"2026-06-09T11:12:51Z","snapshot_observed_at":"2026-08-15T15:20:13.097315Z","submitted_at":"2025-07-18T00:58:42Z","title":"NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:29:16.560277Z"},"links":{"cited_paper":"/paper/2411.17392","citing_paper":"/paper/2507.13595"},"observation_digest":"sha256:bbbc02660a749ea9d98203dd1a3d128cf69a4b9120b8b0136b88a5ae37b2db4c","observation_id":"364abe9a-57f2-4227-9ad1-8945ca8ae853","resolution":{"observed_at":"2026-08-06T16:29:18.850135Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17392/citation-record","integrity":"/paper/2411.17392/integrity","json":"/paper/2411.17392/citation-record.json","paper":"/paper/2411.17392"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:16:27.385631Z","title":"Surface reconstruction by voronoi filtering","venue":null,"work_id":"b0a6de5b-1d8f-4a9d-ba42-dc59c73189aa","year":1998},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.868074Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:9fb37646f3fa82eb78c3445b76f2ac49381160abf963846d1b5adc9265de5d54","observation_id":"26e67d9a-fb79-4c0f-a84c-5d4b515c8ee6","resolution":{"observed_at":"2026-08-12T12:16:27.388957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.376324Z","title":"Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds","venue":null,"work_id":"b6373d5c-236a-40c0-82e9-11ca28abef8a","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.872627Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:ee552d2459a34d6d5111a25a930cf8abd75ac1eefa7cb3b48ec6df129d7bdc5b","observation_id":"d730e01f-a396-452b-a344-4883ff974b52","resolution":{"observed_at":"2026-08-12T12:16:27.379662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.367894Z","title":"Geometric structures for three- dimensional shape representation","venue":null,"work_id":"96c1932b-5a78-43dd-8c5c-9a5f00b6bcfa","year":1984},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.876480Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:a3063580115c16321b5ef863afc6e55d70205a39c57e91bd3c6c269105b3ce9e","observation_id":"0ab137b8-ec36-4121-9716-1dab722fa4ee","resolution":{"observed_at":"2026-08-12T12:16:27.371271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.356304Z","title":"Reconstruction and representation of 3d objects with radial basis functions","venue":null,"work_id":"c1309b9c-f9f8-4ae3-81ba-aeeb711dfbff","year":2001},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.879778Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:58b6bab30da2b0bc3a1a50d46e2194cd2ecac46fbaec8a93193fd017ab05bb81","observation_id":"6885bd8b-26e2-4c1c-ba7d-9f19cc1d18cd","resolution":{"observed_at":"2026-08-12T12:16:27.360603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.346018Z","title":"Efficient geometry-aware 3d generative adversarial networks","venue":null,"work_id":"e5ee5c6d-da71-40ae-89a6-50064e48c198","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.884250Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:b7c2799b84bdab746be9c7c99cc65abc2a402b7f70efeae7bd85e5ddfa9747b4","observation_id":"9124bf18-9896-4444-813e-4c99b3b0766d","resolution":{"observed_at":"2026-08-12T12:16:27.350424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03012","last_updated":"2015-12-09T19:42:48Z","snapshot_observed_at":"2026-08-15T22:26:43.274625Z","submitted_at":"2015-12-09T19:42:48Z","title":"ShapeNet: An Information-Rich 3D Model Repository","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03012","snapshot_observed_at":"2026-08-12T12:16:26.888032Z","title":"Chang, Thomas A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.888032Z"},"links":{"cited_paper":"/paper/1512.03012","citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:eeefa66e49b9e27319e96bb927a86aa3716ebba89c1642164c0f0d34c8fe70fa","observation_id":"462fc489-199a-44bc-afe1-05542c2edb99","resolution":{"observed_at":"2026-08-12T12:16:26.888032Z","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":"2026-08-12T12:16:27.335527Z","title":"Latent par- tition implicit with surface codes for 3d representation","venue":null,"work_id":"dd7a82ae-584e-415c-a5e9-5505beaf5033","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.892410Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:f61ab00655f97e8b6620876466397204bdbff366fa9765bff2987ff66c47baea","observation_id":"3214c59f-ba91-4588-94bc-f4b060bbc116","resolution":{"observed_at":"2026-08-12T12:16:27.339650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.324402Z","title":"Gridpull: To- wards scalability in learning implicit representations from 3d point clouds","venue":null,"work_id":"a2f89441-432f-496c-aa63-883e36d0cbdb","year":2023},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.896158Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:dc6065190710929798c0d388c1d14f1779ab571718c19b2d1175fdd03b06d356","observation_id":"344d6ee7-3d99-4dc6-b4b3-df009741fa80","resolution":{"observed_at":"2026-08-12T12:16:27.328457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.06820","last_updated":"2022-11-13T05:16:43Z","snapshot_observed_at":"2026-08-13T13:44:00.895754Z","submitted_at":"2022-11-13T05:16:43Z","title":"Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion","version":1},"cited_work":{"arxiv_id":"2211.06820","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.06820","snapshot_observed_at":"2026-08-12T12:16:27.060507Z","title":"Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion","venue":"cs.CV","work_id":"68fa0e6a-ac9a-47d6-a963-4e3163e51a32","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.898992Z"},"links":{"cited_paper":"/paper/2211.06820","citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:5812a49d14c1c54fd452ec7397c841c3e9ab04602a64a857540376ac5b17e1bf","observation_id":"59953ec5-f1fd-4022-b36d-2ce1f685f497","resolution":{"observed_at":"2026-08-12T12:16:27.064426Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.314654Z","title":"P2c: Self-supervised point cloud completion from single partial clouds","venue":null,"work_id":"781a64d8-f5e1-4b5e-b0ff-91835ec87af9","year":2023},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.903101Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:c6e16183794d73d6b4db61b4a06c324c5edb92b79d796c33cbe895744af15223","observation_id":"0dd3e773-6767-44d3-afa2-4e5d7fb55123","resolution":{"observed_at":"2026-08-12T12:16:27.318161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18241","last_updated":"2024-07-12T07:30:00Z","snapshot_observed_at":"2026-08-13T00:44:11.527236Z","submitted_at":"2024-03-27T04:09:34Z","title":"NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation","version":2},"cited_work":{"arxiv_id":"2403.18241","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.18241","snapshot_observed_at":"2026-08-12T12:16:27.048739Z","title":"NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation","venue":"cs.CV","work_id":"5701c48a-a6b8-422a-b9a9-ccbe57564881","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.906664Z"},"links":{"cited_paper":"/paper/2403.18241","citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:65a3e100aa70a98adf2b143d5045b531cfa8bfdc95accaa39d9e7cbd58251b61","observation_id":"c8ef0613-56f2-41fa-88f2-5085f6b84d40","resolution":{"observed_at":"2026-08-12T12:16:27.052417Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15622","last_updated":"2024-05-24T15:09:12Z","snapshot_observed_at":"2026-08-14T12:20:05.138460Z","submitted_at":"2024-05-24T15:09:12Z","title":"LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image","version":1},"cited_work":{"arxiv_id":"2405.15622","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15622","snapshot_observed_at":"2026-08-12T12:16:27.034099Z","title":"LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image","venue":"cs.CV","work_id":"585d3f7b-0515-46e4-97ae-9751516ae9ca","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.910228Z"},"links":{"cited_paper":"/paper/2405.15622","citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:8ad5b11240851018c119223deb52d33a6525907b89499788e6ab6e2037f0aeae","observation_id":"54b8496c-d688-4bf4-bd50-674f13697453","resolution":{"observed_at":"2026-08-12T12:16:27.039059Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.305875Z","title":"Mitra, and Michael Wimmer","venue":null,"work_id":"d87f01e1-0998-4d16-b26c-91cdc9e20715","year":2020},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.913529Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:1ec7f1d333ff19b90de4b85ddd0d66f634e25710b8fa0fa93dc9ea2a8dd25a3d","observation_id":"e9c7ad14-07c6-49d4-9639-1cd771a22350","resolution":{"observed_at":"2026-08-12T12:16:27.308815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10099","last_updated":"2020-07-09T12:32:45Z","snapshot_observed_at":"2026-08-15T13:05:42.160094Z","submitted_at":"2020-02-24T07:36:32Z","title":"Implicit Geometric Regularization for Learning Shapes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10099","snapshot_observed_at":"2026-08-12T12:16:26.916786Z","title":"Implicit geometric regularization for learning shapes","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.916786Z"},"links":{"cited_paper":"/paper/2002.10099","citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:16eb8883041922bb7b380f3b77ac663802b2b4da3042d5f331e62c063336b82f","observation_id":"b9da68a7-b16f-413b-ad04-9fdb7f2c89fe","resolution":{"observed_at":"2026-08-12T12:16:26.916786Z","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":"2026-08-12T12:16:27.297134Z","title":"Consolidation of unorganized point clouds for surface reconstruction","venue":null,"work_id":"1f51c47c-86f2-4e8a-b681-b7f95f0219af","year":2009},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.920855Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:ff1178e8a0e128f00221963dd5deed99169d9240909e793937c233be178ed6fe","observation_id":"5958f096-b677-4ec0-aa82-d1bba1542182","resolution":{"observed_at":"2026-08-12T12:16:27.300325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.288203Z","title":"Poisson surface reconstruction","venue":null,"work_id":"463bc29a-9b03-4335-83f9-51c1b8db19a3","year":2006},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.923869Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:bd2091d883ce6ec9e7b3c7c130548a41bbde3a7d1bd46dc85237421f44e90a08","observation_id":"b6256b8b-c752-4321-8812-6c5d41d03488","resolution":{"observed_at":"2026-08-12T12:16:27.291184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:26.926333Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.926333Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:21b24001fa39fed0fec2deb332c7488003870304960a49de35356d2fe0a383f4","observation_id":"d751a822-3146-478f-803c-2f42099344da","resolution":{"observed_at":"2026-08-12T12:16:26.926333Z","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":"2026-08-12T12:16:27.273059Z","title":"ABC: A big CAD model dataset for geometric deep learning","venue":null,"work_id":"12e87e29-0f44-4f4f-b508-8bb3765a4308","year":2019},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.929206Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:f0e40434bfb55fd4213092581670a9495e40d72542adccfb16300dbf058c3d0f","observation_id":"cadaf6ab-6b41-48ed-83ba-b3ed53648db0","resolution":{"observed_at":"2026-08-12T12:16:27.276086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.263494Z","title":"Octree guided unoriented surface recon- struction","venue":null,"work_id":"f7af65cb-6c2c-46b5-829b-2e2e0132d6bb","year":2023},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.931881Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:50d36a79283d2b257d9c69e171feb03324b008c40c354cb047fe4ec7a622af0a","observation_id":"ec9f06cb-cd3f-4056-830a-529e036d4d3b","resolution":{"observed_at":"2026-08-12T12:16:27.267120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.253718Z","title":"Small steps and level sets: Fitting neural surface models with point guidance","venue":null,"work_id":"08d25469-33d9-4f9c-9bb9-19def13e4e5d","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.934783Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:3099c505392e747d8a5cd1f52661ee83327b0101f62ab72e56a71bdc86a38e54","observation_id":"26738207-c16c-4e18-a3b3-10cf560627db","resolution":{"observed_at":"2026-08-12T12:16:27.256876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.243358Z","title":"The approximation power of moving least- squares","venue":null,"work_id":"ea6bafcb-98ac-4bf7-94e5-a70141a70090","year":null},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.938371Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:e6709b4685c8d58de770119a88e755196cf56f4cb0159613c93a4cd6f66b6abe","observation_id":"925e6730-ab8f-456a-9956-9a4e21067e75","resolution":{"observed_at":"2026-08-12T12:16:27.247096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.233737Z","title":"Implicit filtering for learning neural signed distance functions from 3d point clouds","venue":null,"work_id":"f1835442-7929-4316-83ee-181150e7f64b","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.941629Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:540c4532a5fd9a69ff42e2385af39322f34ac94e6f629bceb38e2b0752f6e032","observation_id":"b8ac4556-f105-4d2e-a18e-2eea0830b050","resolution":{"observed_at":"2026-08-12T12:16:27.237701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:26.944601Z","title":"Neuralangelo: High-fidelity neural surface reconstruction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.944601Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:374ba9044e935ece1c85420b511315ae5fdbc69b99dbe42a69b2e874e983e01d","observation_id":"f5ed2a72-f5c9-4482-a5f8-929f27745568","resolution":{"observed_at":"2026-08-12T12:16:26.944601Z","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":"2026-08-12T12:16:27.217100Z","title":"Magic3d: High-resolution 9 text-to-3d content creation","venue":null,"work_id":"9c5c96d0-c2e5-4407-a164-b27f353c2e72","year":2023},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.948353Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:94194e03d2fc700ef4e1cc9ec7cb6926f1407e5aba9c42b639d6691cb74825a6","observation_id":"4e14bd2b-4786-4899-ac5c-bccb3338e437","resolution":{"observed_at":"2026-08-12T12:16:27.220880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.207264Z","title":"Learning to infer implicit surfaces without 3d supervision","venue":null,"work_id":"488ddc07-ab95-4b39-ad56-a17681c4dbfc","year":null},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.951627Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:e711a1398516558d9b157e28a5ef1e8c85dd2dc647085f7b688558a418d7dd79","observation_id":"6351335e-6668-40e4-9fff-99e70deea053","resolution":{"observed_at":"2026-08-12T12:16:27.211038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.198066Z","title":"Lorensen and Harvey E","venue":null,"work_id":"82889069-ffb0-499a-a2da-3a1491b38abe","year":1987},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.955468Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:afd392ec8bf532032d4c34e3b773246c66fdc36d8193af472df0d89e63bb1389","observation_id":"1888a6ed-ebd7-4523-8c06-a97d79400d74","resolution":{"observed_at":"2026-08-12T12:16:27.201245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.188774Z","title":"Neural-pull: Learning signed distance function from point clouds by learning to pull space onto surface","venue":null,"work_id":"a4ee5071-1ea6-4cad-80f1-baded15467ce","year":2021},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.958583Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:7365d8f5c6566e7a878f941a28f62073910494fe9e52564cba61a42f8090fc0e","observation_id":"44ce6273-e8f3-4a11-b5ab-0c5347b11d3e","resolution":{"observed_at":"2026-08-12T12:16:27.192296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.178791Z","title":"Surface reconstruction from point clouds by learning predictive context priors","venue":null,"work_id":"0f8242a4-d7fc-49bc-a837-938b2da6bdd5","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.961905Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:bfb43fa4e8d59ba0de3cff1165453a5365f3a7106e6870e1036e6e2ad7914815","observation_id":"b3a85735-c6c3-41e9-853a-037aac506a96","resolution":{"observed_at":"2026-08-12T12:16:27.182542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.169265Z","title":"Occupancy networks: Learning 3d reconstruction in function space","venue":null,"work_id":"4ac01b7a-99d7-438d-a104-27d0728c11f0","year":2019},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.964854Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:fb37b36b7d4ecbfd26f35e285caea5e4960594d5f51a6204315e41cfa077355f","observation_id":"1206021d-3879-4b03-95f7-c4a487a9fbfa","resolution":{"observed_at":"2026-08-12T12:16:27.172478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:26.967837Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.967837Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:0422f39150be8b81255e35446cb2b47e77cb4769298a347c3e41240f494cc980","observation_id":"9f2a5b4b-db97-4381-a92e-bdf7badd6cd4","resolution":{"observed_at":"2026-08-12T12:16:26.967837Z","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":"2026-08-12T12:16:26.970689Z","title":"Instant neural graphics primitives with a mul- tiresolution hash encoding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.970689Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:24d8fa86cd7ca7948301912561e6be16a6ed987d140b328ac11859497eeb803c","observation_id":"2cc68a63-ed26-49ea-a886-5016db21519e","resolution":{"observed_at":"2026-08-12T12:16:26.970689Z","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":"2026-08-12T12:16:26.973450Z","title":"Deepsdf: Learning con- tinuous signed distance functions for shape representation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.973450Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:9f8f5857a62096e5dd5b8d39bd20189795c01da882775f5737aeb445e590c030","observation_id":"cd8e8819-2cda-42b0-8dca-e30571cd81af","resolution":{"observed_at":"2026-08-12T12:16:26.973450Z","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":"2026-08-12T12:16:27.145255Z","title":"Shape as points: A dif- ferentiable poisson solver","venue":null,"work_id":"55a8dbba-9f16-426e-a65e-8fe67c08f8ff","year":2021},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.976053Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:48ab976717e4600e891467740a75fc2ec2d586e125c1ed1978670a8d9053d899","observation_id":"3752d3ba-46b2-4d85-bc07-d35335973e08","resolution":{"observed_at":"2026-08-12T12:16:27.148228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.136177Z","title":"Visco grids: Surface reconstruction with viscosity and coarea grids","venue":null,"work_id":"deb2e4ad-0a88-4912-9a6c-85932d17b301","year":2022},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.979079Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:817c8aa150116913e34574165d4baebb25e0c8e577dfdacdf68cba714b0b39d8","observation_id":"df441a5d-eea9-4205-90a6-bdf903bc228c","resolution":{"observed_at":"2026-08-12T12:16:27.139473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.126877Z","title":"Pnp-3d: A plug- and-play for 3d point clouds","venue":null,"work_id":"7117e9d6-db0b-435d-9345-bc3b537e1ab7","year":2021},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.983790Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:84bfe76356f016bee6a23f4d0e343cbf958994c8e2de4ecc8ef13266b76bf646","observation_id":"2485d99d-f107-45f6-93e5-b5845f527c40","resolution":{"observed_at":"2026-08-12T12:16:27.130087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.117070Z","title":"Pu-transformer: Point cloud upsampling transformer","venue":null,"work_id":"471b7b65-866b-4a55-9134-7a0e250cdf49","year":null},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.986819Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:f7d2f5be387c7a05ba70518847b51f966090b29938967f8e797f02fa5b789d8f","observation_id":"d4167569-8875-43c9-8d19-e0054676b25c","resolution":{"observed_at":"2026-08-12T12:16:27.120401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.107017Z","title":null,"venue":null,"work_id":"2a3769e4-3e53-476a-adbc-0c394246cc75","year":2020},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.989760Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:0d8be7fdddc74e746204a88fd25039a6c3f00761723a56bc7f6ac3234bf93c42","observation_id":"3492c9d6-52cb-4e90-aa17-46f92d01c5ac","resolution":{"observed_at":"2026-08-12T12:16:27.110159Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.096536Z","title":"Deep geomet- ric prior for surface reconstruction","venue":null,"work_id":"5982cc8c-f4bf-446b-83bf-258a0ee6876d","year":2019},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.993155Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:ad9ff31ba0b0c57649328f2ed67f83d7869219c47afbd4ca19b1ddd2aecb87aa","observation_id":"84a6cfe7-d8ea-41d7-ae92-15bf5bdba48a","resolution":{"observed_at":"2026-08-12T12:16:27.099658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.087405Z","title":"Blockfusion: Expandable 3d scene gen- eration using latent tri-plane extrapolation","venue":null,"work_id":"c7a23bdf-ac1b-47d2-86a3-04b7706263a1","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.996057Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:f89764053588ba58f59bc68c7e2431c5ce5c4d3b6ee161cc878e23012df19d6e","observation_id":"2a32045d-a192-4f25-9c00-6f5da50ba6c6","resolution":{"observed_at":"2026-08-12T12:16:27.090807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T12:16:27.077228Z","title":"Ssp: Semi-signed prioritized neural fitting for surface re- construction from unoriented point clouds","venue":null,"work_id":"25ae8368-61db-4ec7-8440-204b8e23f08f","year":2024},"citing_paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T12:16:26.999194Z"},"links":{"citing_paper":"/paper/2411.17392"},"observation_digest":"sha256:d48185c0c189886ffe833fe6d368557402316b07fcb6f8f5a52444425f8ad790","observation_id":"6b1ddd7b-e580-47fb-830e-0a7c204ca629","resolution":{"observed_at":"2026-08-12T12:16:27.081346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17392","last_updated":"2026-07-07T05:37:43Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T12:07:06.888062Z","submitted_at":"2024-11-26T12:54:30Z","title":"NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":3,"verified_fuzzy":29},"total_outbound_references":40},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2411.17392."}