{"as_of":"2026-08-08T23:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76b239134eed47769dab5ced8cc9c303a413676d47665e03100f9b1aca3cd488","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T11:47:54.145373Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-05-19T15:00:51.826915Z","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":"2026-05-19T15:02:36.599946Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"cited_work":{"arxiv_id":"2502.07746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.07746","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hiponet: A multi-view simplicial complex network for high-dimensional point clouds and single-cell data","venue":null,"work_id":"b8a72faa-3439-4290-aaf4-046cf8859ffd","year":2025},"citing_paper":{"arxiv_id":"2605.15524","last_updated":"2026-05-15T01:44:31Z","snapshot_observed_at":"2026-07-06T23:26:46.595393Z","submitted_at":"2026-05-15T01:44:31Z","title":"Neural Point-Forms","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-19T15:00:51.826915Z"},"links":{"cited_paper":"/paper/2502.07746","citing_paper":"/paper/2605.15524"},"observation_digest":"sha256:26a4a803802361a037234ba4ad00e9ba935591827a5f7e005de9edd0cdd324fb","observation_id":"586cc244-a10e-40d4-a910-0ec841334ee6","resolution":{"observed_at":"2026-05-19T15:02:36.601521Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.07746/citation-record","integrity":"/paper/2502.07746/integrity","json":"/paper/2502.07746/citation-record.json","paper":"/paper/2502.07746"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41588-024-01996-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:54.244889Z","title":"Analysis of multi-condition single-cell data with latent embedding multivariate regression.Nature Genetics, Jan 2025","venue":null,"work_id":"26a28381-d642-4ccb-9128-1aede6a7f209","year":2025},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.839435Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:cdc659b46228d6bfad91d823e51fa7780c1fd421ff12e1794a258c45decdfff8","observation_id":"be64431a-a24c-4319-b7d8-56b7ace57f74","resolution":{"observed_at":"2026-08-08T11:47:54.249835Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:53.844619Z","title":"On the bottleneck of graph neural networks and its practical implications","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.844619Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:03ad6d8a30319aed9beae69dbd40a85c0f955f529b68529f9f5a3536258b4c8f","observation_id":"6900b1bb-07be-48dd-82e8-40b2597b9962","resolution":{"observed_at":"2026-08-08T11:47:53.844619Z","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":"2026-08-08T11:47:55.413675Z","title":"Multiplexed ion beam imaging of human breast tumors","venue":null,"work_id":"a909e1d2-49f9-4ce7-8c44-93932dd680d5","year":2014},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.849424Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:9a1a9f81b346de65c69e4665f676d207f07dcdfc43d7a82eabe2f93e1b03dddc","observation_id":"95b409b8-cb68-4306-92e6-de31e6897bca","resolution":{"observed_at":"2026-08-08T11:47:55.418269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.398626Z","title":"Analyzing the expressive power of graph neural networks in a spectral perspective","venue":null,"work_id":"2fa81673-f88c-4bce-aa12-940544885ff7","year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.854074Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:86cd7474815e9d7926d1703253c120a2b6cc00261bbfc859e3e5e59b32307af7","observation_id":"3e6f35f5-7957-4488-903d-2dc6452c3af4","resolution":{"observed_at":"2026-08-08T11:47:55.403697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.29819","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:54.960020Z","title":"Topological signal processing over simplicial complexes","venue":null,"work_id":"c1eedcb2-59cf-4f33-afcc-043712baf390","year":2020},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.858844Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:0273e0361ca81cc6c84defacc923d318a4e40f9c8a7ebaf6a1276f0369b091a6","observation_id":"0be90f27-882e-4a75-8b7b-3cdae0a844a8","resolution":{"observed_at":"2026-08-08T11:47:54.967159Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02138","last_updated":"2024-10-15T13:19:29Z","snapshot_observed_at":"2026-07-06T16:14:26.899440Z","submitted_at":"2023-09-05T11:29:25Z","title":"Generalized Simplicial Attention Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.02138","snapshot_observed_at":"2026-08-08T11:47:53.863814Z","title":"Generalized simplicial attention neural networks, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.863814Z"},"links":{"cited_paper":"/paper/2309.02138","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:061b1bd38ce96b8cb70d0abfebcbbbbf7ce7b01dd3788238eba55788b29bde31","observation_id":"0f8e2184-c1dd-40cc-a744-13dc9ce71a2b","resolution":{"observed_at":"2026-08-08T11:47:53.863814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.03977","last_updated":"2022-06-08T15:53:05Z","snapshot_observed_at":"2026-08-04T05:01:55.014347Z","submitted_at":"2022-06-08T15:53:05Z","title":"Diffusion Curvature for Estimating Local Curvature in High Dimensional Data","version":1},"cited_work":{"arxiv_id":"2206.03977","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.03977","snapshot_observed_at":"2026-08-08T11:47:54.871597Z","title":"Diffusion Curvature for Estimating Local Curvature in High Dimensional Data","venue":"cs.LG","work_id":"b9113058-c7bb-4678-bc1a-69d86aa905a0","year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.869642Z"},"links":{"cited_paper":"/paper/2206.03977","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:93b82e6a52f53193da60de42053b1b40d77b6f10e2de48c8841a9154063a47e1","observation_id":"469d2805-b9d6-45a2-8f36-46e2e9a0cb9c","resolution":{"observed_at":"2026-08-08T11:47:54.876401Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.383196Z","title":"A scattering transform for graphs based on heat semigroups, with an application for the detection of anomalies in positive time series with underlying periodicities","venue":null,"work_id":"837c147e-6d4d-40bc-8da6-0174a92f9cef","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.874639Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:227cd81f514a82188ab975ecbb5e88d071c9cc843b8a7f9af8e25aaf7d8fd2b7","observation_id":"c44e7d22-68d4-4876-a162-0a54702ae63e","resolution":{"observed_at":"2026-08-08T11:47:55.387982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03212","last_updated":"2021-06-14T12:00:33Z","snapshot_observed_at":"2026-07-06T10:46:57.608963Z","submitted_at":"2021-03-04T18:35:24Z","title":"Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03212","snapshot_observed_at":"2026-08-08T11:47:53.879308Z","title":"Bronstein","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.879308Z"},"links":{"cited_paper":"/paper/2103.03212","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:4468e56c8d328d516b44fb49248f29f5d4be417a0bbd4cd0275f0e93435d9271","observation_id":"bfaaddc1-b6e4-4985-878c-cabe5a885189","resolution":{"observed_at":"2026-08-08T11:47:53.879308Z","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":"2026-08-08T11:47:53.884546Z","title":"Eigenvalue comparison theorems and its geometric applications","venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.884546Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:0aa5569bfcfa28ab855b64e923caa9a9a30138d9b4a2a38d21fbd48567bfdbdf","observation_id":"fe58871f-141b-451c-b492-4a5f5916146f","resolution":{"observed_at":"2026-08-08T11:47:53.884546Z","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":"2026-08-08T11:47:55.369289Z","title":"Vesely, Smita Krishnaswamy, and Michael Perlmutter","venue":null,"work_id":"2011d268-6d6f-4b85-b88e-260c1b7e682b","year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.889513Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:677dc6927a243fa3729e38e30950335f02f5031572a0858f9b1dfc2b7709bbaf","observation_id":"a94f43db-b2bf-49ea-be31-7b10bfb398a5","resolution":{"observed_at":"2026-08-08T11:47:55.373703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.355014Z","title":"Coifman and M","venue":null,"work_id":"bd6436d2-475c-4114-94d2-fabb055c0a8d","year":2006},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.894178Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:1fcf5a486be04d581d4ef0648d5f6d5d076f92b299a2a93070bb869403e9a7b7","observation_id":"8cada462-b1e0-492a-bfd3-fe3601b41435","resolution":{"observed_at":"2026-08-08T11:47:55.359722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.340531Z","title":"Diffusion maps","venue":null,"work_id":"7c087539-0d14-4cbf-b077-5f71ea345ae9","year":2006},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.898641Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:acd77c91db5846fd1b6e055641a2fc40cb618a10c45bc6eb8841f4ee144d23da","observation_id":"3f7cfe22-297e-477a-82b0-4c9cd90c6f6d","resolution":{"observed_at":"2026-08-08T11:47:55.345313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.325887Z","title":"Spectral convergence of graph laplacian and heat kernel reconstruction in l∞ from random samples","venue":null,"work_id":"ed792e6a-c747-4974-9e88-1201b0c75880","year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.903062Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:a0f085f02de00ab5f830aea4fe640b9d8710b7e888ad67e05787b5e76922a812","observation_id":"8458cbd5-bb4c-4daa-9538-f4b70e480ef7","resolution":{"observed_at":"2026-08-08T11:47:55.330579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09699","last_updated":"2021-01-24T09:38:54Z","snapshot_observed_at":"2026-08-05T19:35:00.334774Z","submitted_at":"2020-12-17T16:11:47Z","title":"A Generalization of Transformer Networks to Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09699","snapshot_observed_at":"2026-08-08T11:47:53.907319Z","title":"A generalization of transformer networks to graphs","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.907319Z"},"links":{"cited_paper":"/paper/2012.09699","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:ab87c9c223fc5096fa1c24ea6097d7c6d9b4aba0ea0d7e97f92baed58c01b992","observation_id":"349015ed-830c-412a-9eca-24fa5857390c","resolution":{"observed_at":"2026-08-08T11:47:53.907319Z","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":"2026-08-08T11:47:53.912081Z","title":"Testing the manifold hypothesis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.912081Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:a133474fdbc2c93676aa9720fbdbaa669b31961ef0a4fb920d94fc9bb50c9dba","observation_id":"50771c88-2a28-4d8e-8d43-6374e7fe444c","resolution":{"observed_at":"2026-08-08T11:47:53.912081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.09401","last_updated":"2019-02-23T02:48:42Z","snapshot_observed_at":"2026-08-03T00:36:26.994318Z","submitted_at":"2018-09-25T10:42:28Z","title":"Hypergraph Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.09401","snapshot_observed_at":"2026-08-08T11:47:53.916200Z","title":"Hypergraph neural networks, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.916200Z"},"links":{"cited_paper":"/paper/1809.09401","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:8c0214f97bbec9671682c207ce40d80db1a92dc60f61d02b950ebd6cfd31f83c","observation_id":"af27d22b-23e1-416b-a58b-54587b1c5a64","resolution":{"observed_at":"2026-08-08T11:47:53.916200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.08829","last_updated":"2018-11-27T01:20:46Z","snapshot_observed_at":"2026-07-06T06:46:20.429430Z","submitted_at":"2018-06-22T19:32:25Z","title":"Diffusion Scattering Transforms on Graphs","version":2},"cited_work":{"arxiv_id":"1806.08829","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.08829","snapshot_observed_at":"2026-08-08T11:47:54.807607Z","title":"Diffusion Scattering Transforms on Graphs","venue":"cs.LG","work_id":"cdc02e0a-71fd-4e5d-8c9d-279bd185c2ca","year":2018},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.921165Z"},"links":{"cited_paper":"/paper/1806.08829","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:b777a1ffc546732b957ecb50f40b9cd81020601a310beca54db5491724477bc9","observation_id":"f46b25f0-0de6-4750-9e44-57db25c9e72c","resolution":{"observed_at":"2026-08-08T11:47:54.812860Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.302194Z","title":"Stability of graph scattering transforms","venue":null,"work_id":"3c10fa36-e983-4ddd-acbb-a639f9457cb4","year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.926037Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:94197fbfb7e9a61a4a704847454bb517e1d9374513893e2b64dfce3a4a74a32d","observation_id":"a79c02ee-a113-4226-a53a-df20f6ee9511","resolution":{"observed_at":"2026-08-08T11:47:55.306657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.288473Z","title":"Geometric scattering for graph data analysis","venue":null,"work_id":"d7c8859a-7498-4007-8aa7-03f511b0842b","year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.930431Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:1bc9d4592417152ff6799616e0de790e97139bfd522f6808803d585610699c3c","observation_id":"287242b4-ae94-4315-a0c1-106207d5dbf5","resolution":{"observed_at":"2026-08-08T11:47:55.293004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.273977Z","title":"Geometric scattering for graph data analysis","venue":null,"work_id":"7c1db6da-7c54-438b-aaa1-d9b4797e15cf","year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.934810Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:cf4d592c70aced045f54cd84fc1b3f96ae19a6a0c4524079c0f7301d56abcc10","observation_id":"92cb96c0-5aff-435f-8937-5f2ee64f321b","resolution":{"observed_at":"2026-08-08T11:47:55.278636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.07485","last_updated":"2022-03-26T11:41:22Z","snapshot_observed_at":"2026-07-06T12:47:48.418460Z","submitted_at":"2022-03-14T20:47:31Z","title":"Simplicial Attention Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.07485","snapshot_observed_at":"2026-08-08T11:47:53.939222Z","title":"Giusti, C","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.939222Z"},"links":{"cited_paper":"/paper/2203.07485","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:576acbaa9f6bea232fc03cf5f78f81b4dbca18ac002f8327191552c0d22b8462","observation_id":"f371ca84-6ae2-4bdb-9308-ca61feafa16d","resolution":{"observed_at":"2026-08-08T11:47:53.939222Z","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":"2026-08-08T11:47:53.944202Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.944202Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:3cf44a4cd8cba8e0ac4aec7e1e2c28140293f63ecd07dc386948eb278fa313e3","observation_id":"b2a3d9b4-dcd0-4f0e-9167-5431d327f992","resolution":{"observed_at":"2026-08-08T11:47:53.944202Z","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":"2026-08-08T11:47:55.260098Z","title":"Inductive representation learning on large graphs","venue":null,"work_id":"5d3a627f-c400-4be2-bf7e-6f91c43aa43b","year":null},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.948622Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:9b4b8adecd89f193994e7f6a6d0792c879a56192c55ca8afbad56663ac928278","observation_id":"53273c59-e69c-41fc-8899-adf4f2875f26","resolution":{"observed_at":"2026-08-08T11:47:55.264872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.246358Z","title":"Topological graph neural networks, 2022","venue":null,"work_id":"05b2a908-f8f9-4cb5-bdbb-efb71cf8cb4e","year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.957954Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:890ec9d674455ab0964affc889a72d4f7a43192bc6cccf381a615dc513ead514","observation_id":"ba8df56b-8824-4796-8837-cbc827f91cd1","resolution":{"observed_at":"2026-08-08T11:47:55.250928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.00529","last_updated":"2017-02-02T02:46:13Z","snapshot_observed_at":"2026-07-06T05:28:28.791017Z","submitted_at":"2017-02-02T02:46:13Z","title":"Davies-Gaffney-Grigor'yan lemma on simplicial complexes","version":1},"cited_work":{"arxiv_id":"1702.00529","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.00529","snapshot_observed_at":"2026-08-08T11:47:54.673775Z","title":"Davies-Gaffney-Grigor'yan lemma on simplicial complexes","venue":"math.SP","work_id":"af3d382a-3c41-433f-aba6-2e8f680a5668","year":2017},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.962416Z"},"links":{"cited_paper":"/paper/1702.00529","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:46d07e4e7f3380ef9633d585417e83f12b3455003c1958519ecafcc3037425db","observation_id":"7ea9957e-4d74-431d-80eb-bfe2467df5e9","resolution":{"observed_at":"2026-08-08T11:47:54.678593Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.232642Z","title":"A heat diffusion perspective on geodesic preserving dimensionality reduction","venue":null,"work_id":"56b3450f-5d87-4ece-b425-d41853cd4657","year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.967072Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:5fa7ac12f668365f3f253854f9027cf134a9c618266436f58510c7d685ca0b00","observation_id":"455a028f-acfe-4494-b4ab-e96ef5445961","resolution":{"observed_at":"2026-08-08T11:47:55.237307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06988","last_updated":"2026-05-19T09:41:56Z","snapshot_observed_at":"2026-07-06T18:43:47.559289Z","submitted_at":"2024-07-09T16:01:43Z","title":"Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06988","snapshot_observed_at":"2026-08-08T11:47:53.971480Z","title":"Limiting over- smoothing and over-squashing of graph message passing by deep scattering transforms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.971480Z"},"links":{"cited_paper":"/paper/2407.06988","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:6fb605d10f9c6ccb71f0dcebd471c05628f6f9b1a6520c523cf15a76d7a07815","observation_id":"1b7d4a57-8a1a-4dba-8128-5b7d0fa555f0","resolution":{"observed_at":"2026-08-08T11:47:53.971480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-08T11:47:53.976058Z","title":"Semi-supervised classification with graph convolutional networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.976058Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:11750dc3dae9c4b293b8248376cbc90566ba3a48349b35cf6f4b8b25d4d5aa27","observation_id":"f81ab5f3-63cf-4c2b-97f8-e700fd11750e","resolution":{"observed_at":"2026-08-08T11:47:53.976058Z","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":"10.1038/s41467-024-55179-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:55.219120Z","title":"Aschenbrenner, Joachim L","venue":null,"work_id":"9457fd2f-9798-43f5-853e-e06ad6c690e7","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.980647Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:52620c2aa2c59702f74705ab0adeed0f238790c9ed4aef1d32d481a0e48c5c5e","observation_id":"9454ceeb-28ff-4230-aed0-33e22e17b99c","resolution":{"observed_at":"2026-08-08T11:47:55.223468Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-08T11:47:53.985005Z","title":"Fixing weight decay regularization in adam","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.985005Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:114366ac8a5f9086e6f061a58b0ced0fec5636bfd33f3b861c756fad40043d3c","observation_id":"7f502bdf-98bb-4ed2-a404-20aaf2278439","resolution":{"observed_at":"2026-08-08T11:47:53.985005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07123","last_updated":"2022-11-29T07:07:37Z","snapshot_observed_at":"2026-08-02T22:08:27.106810Z","submitted_at":"2022-02-15T01:39:07Z","title":"Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07123","snapshot_observed_at":"2026-08-08T11:47:53.989747Z","title":"Rethinking network design and local geometry in point cloud: A simple residual mlp framework, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.989747Z"},"links":{"cited_paper":"/paper/2202.07123","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:4d90c2d6c08bc26e547593a09c6a72b44687437339d9c5907e15bc4582b69a19","observation_id":"72f537ec-a090-4a71-8dbd-9b6222f30310","resolution":{"observed_at":"2026-08-08T11:47:53.989747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00176","last_updated":"2023-07-31T22:14:42Z","snapshot_observed_at":"2026-08-02T01:39:37.836837Z","submitted_at":"2023-07-31T22:14:42Z","title":"A Flow Artist for High-Dimensional Cellular Data","version":1},"cited_work":{"arxiv_id":"2308.00176","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.00176","snapshot_observed_at":"2026-08-08T11:47:54.596739Z","title":"A Flow Artist for High-Dimensional Cellular Data","venue":"cs.LG","work_id":"981efa86-814f-4f31-9cbe-0878ccfa2565","year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.994331Z"},"links":{"cited_paper":"/paper/2308.00176","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:3bf2f4d8c6548b32f791e9872664f5a6a9f040b971b069d0b6fc128750aaf200","observation_id":"aa669af1-99aa-442d-8025-2022c95091ab","resolution":{"observed_at":"2026-08-08T11:47:54.601622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.205246Z","title":"Unsupervised parameter- free simplicial representation learning with scattering transforms","venue":null,"work_id":"7ca1ca83-00e1-4201-b01d-04d035364d81","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.999135Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:78152a6964ed11b9f06f1a5b7479e1fe30637637ddb7f4eaf8923b7b6b5470dd","observation_id":"09009174-dc76-4c21-9e23-d5fd0dfc598f","resolution":{"observed_at":"2026-08-08T11:47:55.209747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-08T11:47:54.003515Z","title":"Umap: Uniform manifold approximation and projection for dimension reduction, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.003515Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:c57029a82309ab9e81c5b5dbf8bd7ec284e36c38a73086607d4e5edd3a6a2954","observation_id":"7c4fc03e-0e72-4d9b-9eb6-58363dbe543f","resolution":{"observed_at":"2026-08-08T11:47:54.003515Z","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":"2026-08-08T11:47:55.191585Z","title":"Chapter 6 complex differential geometry","venue":null,"work_id":"3a472cc0-06f9-4164-af64-0f904737f0bd","year":2006},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.008150Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:f338fc1d3241d25b2ddc7c81a82a123172237b43bec536bdb70ec35b89e3c633","observation_id":"0e6f121c-5525-44eb-b92c-15dabde1e814","resolution":{"observed_at":"2026-08-08T11:47:55.196180Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.177748Z","title":"Visual- izing structure and transitions in high-dimensional biological data","venue":null,"work_id":"569941e3-6db4-4137-bb72-894978530bfe","year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.012450Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:e19c544849fe6b540b7e75d68de757cd5cf8a99ca353b72dfe7d16aba2178a4c","observation_id":"1e38a1f1-4c13-41f6-aff7-e1890fe3023d","resolution":{"observed_at":"2026-08-08T11:47:55.182248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.163639Z","title":"Topological autoencoders","venue":null,"work_id":"0a256df6-17d5-4fca-b686-c626596a614d","year":null},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.016898Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:d6d96f47cda13d584d21ee124223de261fb0cd077343c582624a942682fbecf9","observation_id":"e55aec59-908a-4da0-90ea-4671a08b98a6","resolution":{"observed_at":"2026-08-08T11:47:55.168068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:54.025676Z","title":"Topotune : A framework for generalized combinatorial complex neural networks, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.025676Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:1c65948b9922d041e60b1b8b34248b1d32531c832f6ae4f147b58683c6364866","observation_id":"3deecc99-a36e-4a16-8dcc-0b37e4a03d28","resolution":{"observed_at":"2026-08-08T11:47:54.025676Z","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":"2026-08-08T11:47:55.133823Z","title":"Understanding graph neural networks with generalized geometric scattering transforms","venue":null,"work_id":"05e31130-f431-475b-8828-f83a20a87175","year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.029913Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:1d0248166c32deff40a5415d93f6aec8252a47b7a7a227ec9218e9d5a45b73c6","observation_id":"23643c7b-15ea-4c9f-a8e4-4c7944046314","resolution":{"observed_at":"2026-08-08T11:47:55.138681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:54.034314Z","title":"52 characterization of the tumor microenvironment in melanoma using multiplexed ion beam imaging (mibi)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.034314Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:7b1a6f0395fd256e630e04055f5dccfc367ff6392ab130b51dd747460564a3aa","observation_id":"b2fd82d8-0a37-403a-abce-9f94b7f926ae","resolution":{"observed_at":"2026-08-08T11:47:54.034314Z","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":"2026-08-08T11:47:55.119327Z","title":"Qi, Hao Su, Kaichun Mo, and Leonidas J","venue":null,"work_id":"1c928777-3569-475f-838a-4300303a6c3f","year":2017},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.038934Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:d1ac2c7b6db518704f598a25a32278533e1f05680b0b9b580687c7436a75858e","observation_id":"7904e60c-0bf7-4dd3-ac2f-896e47662485","resolution":{"observed_at":"2026-08-08T11:47:55.123841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02413","last_updated":"2017-06-07T23:37:44Z","snapshot_observed_at":"2026-07-06T05:46:01.107746Z","submitted_at":"2017-06-07T23:37:44Z","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02413","snapshot_observed_at":"2026-08-08T11:47:54.043304Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.043304Z"},"links":{"cited_paper":"/paper/1706.02413","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:3c5b6531d3e3a2365633f2d7e11bbf9049003db735a527445468d72b5c8d3c07","observation_id":"46427a8f-050a-431d-ad63-fff7aaf25e44","resolution":{"observed_at":"2026-08-08T11:47:54.043304Z","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":"2026-08-08T11:47:54.047956Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.047956Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:d8fa4f7791347866538d66af096956c5779141868b585bd3732598965f1edfc9","observation_id":"cebe9d1c-33ee-4db2-bb1f-85778300f313","resolution":{"observed_at":"2026-08-08T11:47:54.047956Z","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":"2311.10270","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:54.469210Z","title":"Multiscale hodge scattering networks for data analysis","venue":null,"work_id":"9e7cef46-0c14-43f0-b471-fa0ed7b3eaee","year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.052462Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:f4c78ac16f14d400619ecf221e89ee6cd82fe029bd7364af996ba7406f0ebb9b","observation_id":"3db2e70c-77f0-4e79-bdb9-8074ff13c23b","resolution":{"observed_at":"2026-08-08T11:47:54.476386Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.105205Z","title":"Multiscale transforms for signals on simplicial complexes","venue":null,"work_id":"a394c2b3-15ea-4bb1-bfc3-056ffeb289bb","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.056763Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:c2bc40e915f8feac7c0fdc78d35ec223582802eed985bd3e03480b6c14c1da98","observation_id":"e162bf99-1440-439a-b6db-4d14592f449b","resolution":{"observed_at":"2026-08-08T11:47:55.109680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.090710Z","title":"Cholesky-like preconditioner for hodge laplacians via heavy collapsible subcomplex","venue":null,"work_id":"f8499493-0cd1-4bab-afa5-7c2f807e4b5f","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.060961Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:c79dfe6b699caa51d6f3402f6eff57e2f67402781c7d5438d259902b269656bb","observation_id":"c8fb9238-6613-4531-a94f-9e01e6ac5f4c","resolution":{"observed_at":"2026-08-08T11:47:55.095377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.076444Z","title":"Random walks on simplicial complexes and the normalized hodge 1-laplacian","venue":null,"work_id":"e763baa3-bae7-41c7-b2fe-bff8431e1b94","year":2020},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.074727Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:63f6366a23d0a3fb7eb855f77329c918e1fc50381fb9678d0d77c47711f85486","observation_id":"3aedc443-b6ec-4221-a98a-e40a37904906","resolution":{"observed_at":"2026-08-08T11:47:55.081172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.07458","last_updated":"2022-08-15T22:30:07Z","snapshot_observed_at":"2026-08-04T07:56:38.925618Z","submitted_at":"2022-08-15T22:30:07Z","title":"Learnable Filters for Geometric Scattering Modules","version":1},"cited_work":{"arxiv_id":"2208.07458","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.07458","snapshot_observed_at":"2026-08-08T11:47:54.336081Z","title":"Learnable Filters for Geometric Scattering Modules","venue":"cs.LG","work_id":"b30ec675-a30d-4849-971e-1eb2ebcdc990","year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.079061Z"},"links":{"cited_paper":"/paper/2208.07458","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:41a8ab5c5701b50d044ed048853ab60fdf3e67417ef5a539d9833b6e2b212b78","observation_id":"e22a5af7-0daf-4f10-a0cf-3cfbc5a27b7a","resolution":{"observed_at":"2026-08-08T11:47:54.341057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:54.083540Z","title":"Visualizing data using t-sne","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.083540Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:ffbcdb138387472e4f1c50945b4929ed2db6167c59226bdf44d57b5920a31195","observation_id":"99654897-eaf9-4c30-ba1a-d0d9e087908d","resolution":{"observed_at":"2026-08-08T11:47:54.083540Z","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":"2026-08-08T11:47:54.087828Z","title":null,"venue":null,"work_id":null,"year":1967},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.087828Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:7ee038cfdd43af6908f7f31eb5e41a598e08d2d7480b397ff35ddb4ffb9fac6b","observation_id":"808c81d7-e844-413a-be8b-bddbd1a495d1","resolution":{"observed_at":"2026-08-08T11:47:54.087828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-08T11:47:54.092171Z","title":"Graph attention networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.092171Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:b08c1f3a8e13d4847d18ef30301c918b111e8755782f8dc51295f352a1f3d412","observation_id":"03381fb3-7f65-4b73-aad8-2bf293836e88","resolution":{"observed_at":"2026-08-08T11:47:54.092171Z","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":"2026-08-08T11:47:55.052158Z","title":"Multiscale geometric and topological analyses for characterizing and predicting immune responses from single cell data","venue":null,"work_id":"fcb4e339-818e-4e92-bf19-46651bea8bd9","year":2023},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.096383Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:4b437a9a772f00f6d106c771dc002aed4467676d2b532a5607f73c7899a3768a","observation_id":"00a002ed-0c9d-4f85-a8e6-682a75a16184","resolution":{"observed_at":"2026-08-08T11:47:55.056802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.036486Z","title":"Processed multiplexed ion beam imaging (mibi) of tumor microenvironments of 54 melanoma samples following immunotherapy, 2025","venue":null,"work_id":"5b5cb3e7-53bf-46e3-b396-81d957c6801a","year":2025},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.100788Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:c3bac0c95303da1948a1efab6271938193a468120a693ebd064f703f19efe5ba","observation_id":"742add12-4da4-4473-a7fb-9a80e5256194","resolution":{"observed_at":"2026-08-08T11:47:55.041896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/bf01447877","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:54.191944Z","title":"Über den höheren zusammenhang kompakter räume und eine klasse von zusammenhangstreuen abbildungen","venue":null,"work_id":"d2a5a542-3732-49a7-b190-9fd571578a1c","year":1927},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.105270Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:fe8b7d625df4d3eaba75cbd6c04bc203cd270a417ea4eae1c0609c5f509e144c","observation_id":"5c03f967-396e-4ff9-a1a4-71508b5fe591","resolution":{"observed_at":"2026-08-08T11:47:54.197137Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.07829","last_updated":"2019-06-11T06:11:21Z","snapshot_observed_at":"2026-08-07T18:23:03.971221Z","submitted_at":"2018-01-24T01:14:04Z","title":"Dynamic Graph CNN for Learning on Point Clouds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.07829","snapshot_observed_at":"2026-08-08T11:47:54.109672Z","title":"Sarma, Michael M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.109672Z"},"links":{"cited_paper":"/paper/1801.07829","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:ad549f357ea1a054ceb474bb32aa70763ea564456d021123e1479c2ea2d70bfe","observation_id":"a0bdc1bc-d280-4df4-84b8-915a4fc2cd3d","resolution":{"observed_at":"2026-08-08T11:47:54.109672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.08932","last_updated":"2022-08-14T11:31:18Z","snapshot_observed_at":"2026-07-06T12:30:05.447816Z","submitted_at":"2022-01-22T00:47:41Z","title":"Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.08932","snapshot_observed_at":"2026-08-08T11:47:54.114319Z","title":"Overcoming oversmoothness in graph convolutional networks via hybrid scattering networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.114319Z"},"links":{"cited_paper":"/paper/2201.08932","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:469289ca5736505a0feb122fd4f4a488d3924ba7b23d222ca101f58e1251686d","observation_id":"30ced31e-89af-4397-8b7b-ee0ec954b689","resolution":{"observed_at":"2026-08-08T11:47:54.114319Z","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":"2026-08-08T11:47:55.021138Z","title":"Nachrichten von der gesellschaft der wissenschaften zu göttingen","venue":null,"work_id":"b77473e5-9ca0-4c34-b98c-9c1e13b97ed8","year":1911},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.118698Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:2370de8e410308ccf8d60c3e391501cc50ca62206110f8d3198416bba0f14976","observation_id":"c94ba419-9f7c-44b6-b9c8-d95d971347bb","resolution":{"observed_at":"2026-08-08T11:47:55.026066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2022.05.12.491707","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T11:47:54.175653Z","title":"Trevino, Eric Wu, Kyle Swanson, Honesty J","venue":null,"work_id":"39d67e49-93e7-4b18-9c30-0c3fa22d1717","year":2022},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.123001Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:88117ed9b0a69145836b0272b5a231a5e858aa62738376113189427fd23dbfe0","observation_id":"adf87d4a-748c-4264-a7ad-6f1facaff9bf","resolution":{"observed_at":"2026-08-08T11:47:54.181714Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T11:47:55.007055Z","title":"BLIS-Net: Classifying and analyzing signals on graphs","venue":null,"work_id":"186b1407-e7b9-4ae6-924c-6e28beac711a","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.127318Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:7fe2e93a22371711b5da7962fffd5eac8134260c3e01301b63f9bcf546194b3f","observation_id":"05b72bbe-981f-4dec-8285-bd03de948b2e","resolution":{"observed_at":"2026-08-08T11:47:55.011643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00826","last_updated":"2019-02-22T19:15:54Z","snapshot_observed_at":"2026-07-06T07:05:24.565760Z","submitted_at":"2018-10-01T17:11:31Z","title":"How Powerful are Graph Neural Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.00826","snapshot_observed_at":"2026-08-08T11:47:54.131515Z","title":"How powerful are graph neural networks? In International Conference on Learning Representations (ICLR) , 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.131515Z"},"links":{"cited_paper":"/paper/1810.00826","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:ca682eec77a59940ef6609c8963672363f6142ed535a086020716f918547c3b4","observation_id":"e9e229b4-4b48-49e2-b38b-19b80f7795e5","resolution":{"observed_at":"2026-08-08T11:47:54.131515Z","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":"2026-08-08T11:47:54.992302Z","title":"A hitchhiker’s guide to high-dimensional tissue imaging with multiplexed ion beam imaging","venue":null,"work_id":"cba7d9fe-26b4-4398-bac4-7160ddb2ab2d","year":2024},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.136055Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:9e5bfc061f658b0977c531849720a9566ab9063bec19694db38cb150ec38f025","observation_id":"941b6901-ac09-46cb-98a4-be35c547b50b","resolution":{"observed_at":"2026-08-08T11:47:54.996917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-08T02:55:12.205206Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-08T11:47:54.140836Z","title":"Point transformer, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.140836Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:ad68a23e0ed6c939fb512ead98cfde1299a89e97def7509a1400bb33aff4f4a8","observation_id":"bb56fce6-80de-4b92-ba45-828c9e172338","resolution":{"observed_at":"2026-08-08T11:47:54.140836Z","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":"2026-08-08T11:47:54.976505Z","title":"Graph convolutional neural networks via scattering","venue":null,"work_id":"59867e65-102a-4f6c-9fda-d5e86af64579","year":2020},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.145373Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:34779b84424d0af2f955c8556e6c7a869278896d9b63beae102c414189f9e106","observation_id":"d93370f8-b2d9-4d67-bc6a-81e4fed33158","resolution":{"observed_at":"2026-08-08T11:47:54.981148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02216","last_updated":"2018-09-10T14:26:58Z","snapshot_observed_at":"2026-07-06T05:45:54.936325Z","submitted_at":"2017-06-07T14:51:05Z","title":"Inductive Representation Learning on Large Graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02216","snapshot_observed_at":"2026-08-08T11:47:53.953271Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:53.953271Z"},"links":{"cited_paper":"/paper/1706.02216","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:7997c609abb6f08f9a10ca9c32d11718d9fdacebcb6ed448ee93300261bfecfc","observation_id":"3d70a09e-b54f-4abe-aa3b-85eda9560a1a","resolution":{"observed_at":"2026-08-08T11:47:53.953271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.05044","last_updated":"2019-11-06T16:36:04Z","snapshot_observed_at":"2026-08-05T11:00:54.152745Z","submitted_at":"2018-07-13T13:05:07Z","title":"Random Walks on Simplicial Complexes and the normalized Hodge 1-Laplacian","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.05044","snapshot_observed_at":"2026-08-08T11:47:54.070302Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.070302Z"},"links":{"cited_paper":"/paper/1807.05044","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:19e36b10c0e4219fb0c6eeeb87eb368f39400525f253a5b0765d77553f709664","observation_id":"5c4fd6db-8fd6-4c02-a7dd-771d8275b57c","resolution":{"observed_at":"2026-08-08T11:47:54.070302Z","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":"2026-08-08T11:47:55.148941Z","title":"URL https://proceedings.mlr.press/v119/moor20a","venue":null,"work_id":"47c8bec5-089a-4b01-8aa6-181d8bb8d00e","year":2020},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":7054,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.021335Z"},"links":{"citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:610675b076169cc25824ff173107c7d7de58cca31666eafb49bcf541a5b9b12f","observation_id":"e983fabc-8a27-4908-9e1f-6087ec752fb8","resolution":{"observed_at":"2026-08-08T11:47:55.153855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T16:29:58.839795Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":27,"verified_exact":10,"verified_fuzzy":28},"total_outbound_references":67},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2502.07746."}