{"as_of":"2026-08-17T15:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d21dcd9bf3f63072d813dec5d81dc5c0c852bb6f10447d256acade298b52ed6","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:00:51.685513Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-05-09T19:25:12.739847Z","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":"2026-05-11T15:41:55.110357Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2508.19071","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.19071","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dynamic triangulation-based graph rewiring for graph neural net- works.arXiv preprint arXiv:2508.19071","venue":null,"work_id":"9ff08d5f-b9d2-464a-8e83-d92a475dab7c","year":null},"citing_paper":{"arxiv_id":"2605.00951","last_updated":"2026-05-01T11:16:19Z","snapshot_observed_at":"2026-08-15T20:07:16.908621Z","submitted_at":"2026-05-01T11:16:19Z","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-09T19:25:12.739847Z"},"links":{"cited_paper":"/paper/2508.19071","citing_paper":"/paper/2605.00951"},"observation_digest":"sha256:f8b758267597b0244d7a6fb030eae3207a70168765bc3684b74b0a41624af969","observation_id":"1e184f63-83eb-4401-8bac-fb0d59549825","resolution":{"observed_at":"2026-05-11T15:41:55.206487Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.19071/citation-record","integrity":"/paper/2508.19071/integrity","json":"/paper/2508.19071/citation-record.json","paper":"/paper/2508.19071"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:00:52.273265Z","title":null,"venue":null,"work_id":"deb97120-f9f3-4f46-8188-88e9fc8a168e","year":2021},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.482131Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:ea0e6e2db2d2c78c3c905422ecdb9daa22155c0b094f77c8e78ae5e4398164ef","observation_id":"01f1f3af-5890-418f-8229-476e69e2fa8b","resolution":{"observed_at":"2026-08-05T16:00:52.276105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.263259Z","title":null,"venue":null,"work_id":"fe5abc2e-4b47-4d26-85ca-b026e082894f","year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.485794Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:dde64ac3af9211c4c832c37b6ea1a9a9a20d3d39a963d5f768d71b2872bd2ba5","observation_id":"19a03e77-7765-41f5-bed4-33d3ad616b17","resolution":{"observed_at":"2026-08-05T16:00:52.266550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17429","last_updated":"2026-05-01T11:43:42Z","snapshot_observed_at":"2026-08-13T03:45:14.802748Z","submitted_at":"2024-11-26T13:38:12Z","title":"Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17429","snapshot_observed_at":"2026-08-05T16:00:51.488918Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.488918Z"},"links":{"cited_paper":"/paper/2411.17429","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:de0e7c1cfa2b0be744840039d57451bee3855a0d9505e228995f7981f20376c4","observation_id":"410edf37-09a9-4f6c-af1f-ce245f8189f4","resolution":{"observed_at":"2026-08-05T16:00:51.488918Z","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":"2026-08-05T16:00:52.253822Z","title":null,"venue":null,"work_id":"8cd3c0c2-0e11-4d1b-a90c-a37e5888963a","year":2025},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.492696Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:7f566f0eb9af64e044b8f53a8c29d0937f4c059ba2974b5c76c938af57462043","observation_id":"645dbfdf-b8c8-473c-974c-ad405b23aee4","resolution":{"observed_at":"2026-08-05T16:00:52.256783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.245508Z","title":null,"venue":null,"work_id":"5e07bd02-50c6-4882-8634-d29bd3d876ca","year":2022},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.495689Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:d899c2440855653b77fb81c343c719b54233ca8bebb71d9fd4b434d834846e40","observation_id":"d7ad8160-1e59-4c3b-b1b4-4d871b778832","resolution":{"observed_at":"2026-08-05T16:00:52.248197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.236738Z","title":"Bronstein, and Francesco Di Giovanni","venue":null,"work_id":"fbf8e79d-ac64-4566-966b-dcd03af418e3","year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.498636Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:6b0309a1fdc31afb46b40aba48603884dd3cfcd4db871c3abcd3d7544b019a2a","observation_id":"9bd8d49c-06ae-4f6a-bc8e-2d561a6137e3","resolution":{"observed_at":"2026-08-05T16:00:52.239476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.228049Z","title":null,"venue":null,"work_id":"17c8dc03-e10f-4040-86cf-9867c9d8bef4","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.502134Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:dec8fa837994c0f62f7aa02244d8b65846f745f6270cbbc5e969b52bff09f1fb","observation_id":"6ef48089-ce4b-4e8c-8302-12ff1508e4f9","resolution":{"observed_at":"2026-08-05T16:00:52.230870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.219530Z","title":null,"venue":null,"work_id":"3b58b76b-bc7a-45c7-8dd7-54143a0bc0fc","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.505235Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:90dd406ced481c63427e158c74bfc51600c4d369922e96fab861a1f8ad0e78ea","observation_id":"2804df58-fa5a-44e3-a44d-52dd374db541","resolution":{"observed_at":"2026-08-05T16:00:52.222243Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.508604Z","title":"Castro-Correa, Jhony H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.508604Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:f1057738367eea501171d61b346c72db768a2b101a1bc9287715d6404745b346","observation_id":"b3d2166a-5942-4808-b1d9-faeccd782ef4","resolution":{"observed_at":"2026-08-05T16:00:51.508604Z","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":"2026-08-05T16:00:52.205044Z","title":null,"venue":null,"work_id":"a48028b3-87b4-49f2-afb0-c1c99637aff0","year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.511812Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:40e79ec1384bd5262d89c495701d00354ab2c37e66cba15f803224cc5e59eeb8","observation_id":"d7d024c4-b9d9-45da-b7cb-5ef0dcfee7d8","resolution":{"observed_at":"2026-08-05T16:00:52.207901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.188386Z","title":null,"venue":null,"work_id":"7e233503-11b8-411e-9e04-acf77a9c469e","year":1970},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.519139Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:523a0f1613a10e76c438def6bc8be0841f6c821c8e16ba0124d50f39baee33f3","observation_id":"2234282b-fa53-4f13-9efb-f2f9d6e76ed2","resolution":{"observed_at":"2026-08-05T16:00:52.191072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.180128Z","title":null,"venue":null,"work_id":"44e25bb6-a071-406f-8660-2a990d4c3bbc","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.522219Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:b5d57e01415354fc2745706924332f4f4c26a31d61f255064b57bc318e4dc191","observation_id":"42177a20-a3bf-4d6b-9a1e-40c2e50084bb","resolution":{"observed_at":"2026-08-05T16:00:52.182940Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.171372Z","title":null,"venue":null,"work_id":"dc4c0cc2-7dcf-4186-90ef-cec789f28231","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.525397Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:f911fbfc87f5e08876f65dca823d61870e6d6ff607e25a0a876c264a771006ec","observation_id":"229e8f57-a1fc-4680-a24c-56216e1a3d8f","resolution":{"observed_at":"2026-08-05T16:00:52.174202Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.162656Z","title":null,"venue":null,"work_id":"ba1eee4c-ef41-44db-afe9-938e48c401e1","year":1985},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.528327Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:e7c283db814624e35c1b37f6f5b4a756c14d5ae502738ee07cab9d564e999384","observation_id":"ab576f94-21bb-4972-ad93-f8a26b285f15","resolution":{"observed_at":"2026-08-05T16:00:52.165388Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.154398Z","title":null,"venue":null,"work_id":"a17cce37-c37b-4a20-b59c-cfc9192046f9","year":1997},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.531336Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:7fe8f17ccd2d51ce1829c21bd185fe7b0279c0dd6340385fd156e7af3c4cc233","observation_id":"a48ef2e5-275d-4f27-ba54-13feb0003e5b","resolution":{"observed_at":"2026-08-05T16:00:52.157171Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.145567Z","title":null,"venue":null,"work_id":"63526aa7-6d43-4057-9b34-78e6cf8a0164","year":2022},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.534287Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:b9ec2d3c140fef48a888731221b07ffab59de3e006493482e219e6772684b166","observation_id":"c19f1662-7a83-44b6-895c-a37254bc58cb","resolution":{"observed_at":"2026-08-05T16:00:52.148542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.136539Z","title":null,"venue":null,"work_id":"70cb3013-1116-4048-8585-117c1e6e9270","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.537372Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:01d9c426affa540e21aec8c8bc624211e1567f9dcf288343038070cbb749273e","observation_id":"45780e26-cf4e-41bf-80a5-870eea7c8cbb","resolution":{"observed_at":"2026-08-05T16:00:52.139699Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07511","last_updated":"2024-03-13T17:38:27Z","snapshot_observed_at":"2026-08-16T14:35:22.990226Z","submitted_at":"2023-12-12T18:44:19Z","title":"A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07511","snapshot_observed_at":"2026-08-05T16:00:51.540279Z","title":"Mathis, Chaitanya K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.540279Z"},"links":{"cited_paper":"/paper/2312.07511","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:9cd10879cae84ae87dda91d01b99cc1c82ab44b148785c7e1f2ef00bfeee6953","observation_id":"5827ef17-f9c9-447c-b360-945b42181ab1","resolution":{"observed_at":"2026-08-05T16:00:51.540279Z","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":"2026-08-05T16:00:52.127005Z","title":"Malliaros, Yoshua Bengio, and David Rolnick","venue":null,"work_id":"b4123c89-f70f-4842-98be-cc4bdf1c8ad7","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.543540Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:56bb5156b9500200665d623e91cb717e8fe788f4ae23a1e8a1b3b9074b4a0cda","observation_id":"62a569e6-d1fb-41c3-9a33-cf11f7e8ad04","resolution":{"observed_at":"2026-08-05T16:00:52.130025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.117493Z","title":null,"venue":null,"work_id":"07d69ebb-caac-436e-b5f1-2a1286afa421","year":2022},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.546608Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:0e23d51acdae9cb67bb09b3814a6a083acbf3c537cc1f3cf84a8ac091f3557db","observation_id":"893822f6-7343-486f-ac79-10dc991dc25d","resolution":{"observed_at":"2026-08-05T16:00:52.120615Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.108234Z","title":null,"venue":null,"work_id":"6b2a23e9-da9c-4fc2-9afc-6e6f055dc105","year":2000},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.549578Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:2145958abed155d7dd65b9f92b4b0308d7c5bdfa15938e2825584f25d07c080d","observation_id":"266746c1-ca29-47e9-9197-d1ddae9305a0","resolution":{"observed_at":"2026-08-05T16:00:52.111192Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.098317Z","title":null,"venue":null,"work_id":"095eb6a2-6215-4062-bccc-9c07f30a46e0","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.552735Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:d9cac813afc4f7296d879493ad726d354bbe3d77e31a238cc1c7766b6f28b9c0","observation_id":"ffc6ae20-e928-47cd-8e0e-1a04f93fb219","resolution":{"observed_at":"2026-08-05T16:00:52.101470Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.089093Z","title":null,"venue":null,"work_id":"362d020b-1537-4da2-8f61-b600a2a464a6","year":2003},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.555864Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:43add407ea40d1122a916154a16d1c25f999dedd6856d66b06d3ea0680b93f59","observation_id":"e330c7e0-ce85-4aef-9fad-527483705609","resolution":{"observed_at":"2026-08-05T16:00:52.092107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.559034Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.559034Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:72bba6b23ca463e57a518002d83343dd55a493b52d0c1a4065b1c569fb9656de","observation_id":"f084683c-fef6-4287-bb7c-771444885c68","resolution":{"observed_at":"2026-08-05T16:00:51.559034Z","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":"2026-08-05T16:00:52.072400Z","title":null,"venue":null,"work_id":"7818d2ac-b1a5-4cd9-b546-1ca381fad400","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.562244Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:28eb0bc45a727465b51a2b676c4bab935b366443efa512d192d9779a48b20a58","observation_id":"aeacaf6b-9831-4dbb-992f-b1ab455fb4b5","resolution":{"observed_at":"2026-08-05T16:00:52.075579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.062461Z","title":null,"venue":null,"work_id":"d8b402e8-8b64-4fe4-8d80-bacc6f2f2f4c","year":1996},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.565561Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:5295d1cc62910cf5c515e7b0402c580dc9720b8d7e66ed2c5201bd3619b8ddd1","observation_id":"43b0fc06-5a64-4056-b3dd-6f2c0804ec69","resolution":{"observed_at":"2026-08-05T16:00:52.065565Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09769","last_updated":"2024-09-30T05:56:58Z","snapshot_observed_at":"2026-08-16T14:26:34.098147Z","submitted_at":"2024-01-18T07:36:38Z","title":"A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09769","snapshot_observed_at":"2026-08-05T16:00:51.569270Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.569270Z"},"links":{"cited_paper":"/paper/2401.09769","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:fbbe14fd8bd0e80fcce98db35b728c7c273af2fdd162031ba1d243894e47acf1","observation_id":"df6ad198-2fe1-4360-a5a0-6017d18448f0","resolution":{"observed_at":"2026-08-05T16:00:51.569270Z","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":"2026-08-05T16:00:52.052704Z","title":null,"venue":null,"work_id":"818adf02-d7ac-4a98-b1ce-ae9d2f68c9a3","year":2005},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.572616Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:c239d5b61ffee55625347674764c2c2ff7af795b6e3bee0040d3e8eae6671438","observation_id":"9317ed3c-8367-4c08-bd5e-06a75c6ceefd","resolution":{"observed_at":"2026-08-05T16:00:52.056069Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.043331Z","title":null,"venue":null,"work_id":"cdbc5f1b-6fbb-49fc-8e70-c00be7b75ab2","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.575971Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:14cc3e6b15553e084a4d85f06a7e22b8782ea32aa858a427b677eb9aa99a0501","observation_id":"d37d0153-ca1a-4ada-ad8f-cc9163f160ad","resolution":{"observed_at":"2026-08-05T16:00:52.046398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.034140Z","title":null,"venue":null,"work_id":"00d80cfb-2e4b-4262-9a29-9680808750cc","year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.579549Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:3d169614324bdbfb23b08ada4819ec4a6482d0aeb1b039355d5c97a9fed7f537","observation_id":"6da19c3f-9961-408e-b60f-d2e86e8dd9e3","resolution":{"observed_at":"2026-08-05T16:00:52.037164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.582782Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.582782Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:9ca0883963fb5eeb84b7d0bf350ddc8af86f6dd48730685f27ba45b5d52dfae5","observation_id":"45d2c150-ea20-4514-954d-75433cff9a85","resolution":{"observed_at":"2026-08-05T16:00:51.582782Z","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":"2026-08-05T16:00:52.019165Z","title":null,"venue":null,"work_id":"df65b593-0f6c-49f4-93e8-4623ea538e00","year":2014},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.586535Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:ba94a089e604c6ad1269e35e0d6a5a8e16a0cb96f7e3c4b4befd9bc98e152766","observation_id":"67e0462a-e291-4c08-b36c-3bd9c7cccee0","resolution":{"observed_at":"2026-08-05T16:00:52.021930Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.010284Z","title":null,"venue":null,"work_id":"0b558d6f-f338-4d59-811f-2b8687a0e034","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.590147Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:5c77679fe0a81fdd70f379ff4f2ba14da588c21b0a69e84c2df6ac2fc6baebe6","observation_id":"a7213050-fc7c-4af4-bd28-92e2fa1530bf","resolution":{"observed_at":"2026-08-05T16:00:52.013118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.001293Z","title":"Kipf and Max Welling","venue":null,"work_id":"df1dc2ae-a5ea-4007-864e-32ebdfc93107","year":2017},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.593362Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:6d1b5f5e57ba00f902de0bda94ace7b3580b8d645b70f7063be46ef785e3182f","observation_id":"c63d4be5-1ddb-4e84-8416-d713d95ac08e","resolution":{"observed_at":"2026-08-05T16:00:52.004279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.992637Z","title":null,"venue":null,"work_id":"1e14e71d-425f-4a07-9278-7b4133760fb3","year":2019},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.596646Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:d5b9f69e51a99ce1baf6e0ea9e9585a06806233dddade5278fab9a99c37eaff3","observation_id":"6de09683-161f-4075-aef2-e4b501dfcf01","resolution":{"observed_at":"2026-08-05T16:00:51.995405Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.983761Z","title":null,"venue":null,"work_id":"1125ba3e-fb15-431e-aa89-4d47a6ba46b2","year":2025},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.599938Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:48f7855665aec0d19d1f897f9322d09fb726af2d90e472cff7d03ed68c9eaed6","observation_id":"09acb048-f798-40c3-a0da-830a78e35b18","resolution":{"observed_at":"2026-08-05T16:00:51.986866Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.974155Z","title":null,"venue":null,"work_id":"165bdea0-a570-4204-b96a-9f1fd7acd8e0","year":1979},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.603140Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:6f8d46f46f260d4c3000aba427536ae195702d7685932bf733299c5c9fc3bcb3","observation_id":"bebd61e3-a13c-4fad-96c8-c3cdab984a80","resolution":{"observed_at":"2026-08-05T16:00:51.977162Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1204.4435","last_updated":"2012-04-26T20:18:49Z","snapshot_observed_at":"2026-08-15T04:12:31.013776Z","submitted_at":"2012-04-19T19:07:13Z","title":"Diameter and spectral gap for planar graphs","version":2},"cited_work":{"arxiv_id":"1204.4435","doi":null,"metadata_source":"pith","pith_arxiv_id":"1204.4435","snapshot_observed_at":"2026-08-05T16:00:51.762789Z","title":"Diameter and spectral gap for planar graphs","venue":"math.GT","work_id":"a8a9c04f-0008-4807-bfcd-8a0031ef15ba","year":2012},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.606308Z"},"links":{"cited_paper":"/paper/1204.4435","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:5d503bce7981f04df0067d997bb9f8a196107371e86e388639ca83f1a8e5c46d","observation_id":"f6a07a91-ad87-4a86-8b3e-1df4e359af32","resolution":{"observed_at":"2026-08-05T16:00:51.767822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05641","last_updated":"2021-09-12T23:57:05Z","snapshot_observed_at":"2026-08-16T17:57:10.705002Z","submitted_at":"2021-09-12T23:57:05Z","title":"Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.05641","snapshot_observed_at":"2026-08-05T16:00:51.609973Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.609973Z"},"links":{"cited_paper":"/paper/2109.05641","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:d375f38e9c73ab8b83ec714a35bb6f1eecb40816b00f9220bed427413fc238b1","observation_id":"ab4ca057-2db1-4403-a08e-bb341b0aba53","resolution":{"observed_at":"2026-08-05T16:00:51.609973Z","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":"2026-08-05T16:00:51.964871Z","title":null,"venue":null,"work_id":"07845445-9ab0-4d41-b58e-2e2a34187e81","year":2019},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.613415Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:c691b7b95876e677737240d44a5881bb1f5e38e0861118c3012ba727f08143ef","observation_id":"dea1f270-0550-4d75-98f6-986320a8e30f","resolution":{"observed_at":"2026-08-05T16:00:51.967812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.955594Z","title":null,"venue":null,"work_id":"bcf6e333-5f09-4ad5-8df5-ea9f3f0d9de1","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.616566Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:4b1185cdd8eb03860de0bfa03b0edd8a747695b53f810cf2b686c5241a498e88","observation_id":"107195cc-d20a-4731-8161-61214873d2a4","resolution":{"observed_at":"2026-08-05T16:00:51.958438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.946597Z","title":null,"venue":null,"work_id":"fcd5e468-6ec7-48d2-b18a-9e56f29732c3","year":2007},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.619865Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:d46ba7633d349e4863466c87424b39e0df0d0fa58acd825991d3843d4bce044d","observation_id":"28fac245-cd3e-4d4a-a790-d7ac4044890f","resolution":{"observed_at":"2026-08-05T16:00:51.949556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.937765Z","title":null,"venue":null,"work_id":"d1bf4b78-cb85-45d0-87a3-75d35e87a8ae","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.623114Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:bdfb1ed8e430e34bde0c8dff61f2acfc151b471ecf9900450d32e925b476225c","observation_id":"c3fb2d62-8292-4096-b4a8-f5f10ba3ddd5","resolution":{"observed_at":"2026-08-05T16:00:51.940580Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.928581Z","title":"Malliaros","venue":null,"work_id":"6a0835fc-78de-4160-9e95-cd5eb8341638","year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.626444Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:9d1417906a14754bdcb59252aaadeb85b212812c2ac84619ca26d2e9b3e17733","observation_id":"083705dc-cb8b-4f8c-9b56-05ec7778a1aa","resolution":{"observed_at":"2026-08-05T16:00:51.931550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.629626Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.629626Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:6a2af4e747c6ad222668839b087a240ec11f73450015157f63d08f2be9489108","observation_id":"b3f05f82-21c2-4c11-8357-57705c11ece6","resolution":{"observed_at":"2026-08-05T16:00:51.629626Z","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":"2026-08-05T16:00:51.903444Z","title":null,"venue":null,"work_id":"d1a905a8-c1c0-4f24-9ec6-bf0f373a8cef","year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.636115Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:9bcb34916b7548dc5de8cea540d9c21abeec4a19497e0ad9ec46d561485c45d0","observation_id":"85867056-12fa-4625-9e94-30c3b0a75a08","resolution":{"observed_at":"2026-08-05T16:00:51.906478Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02156","last_updated":"2024-03-26T17:36:54Z","snapshot_observed_at":"2026-08-16T14:55:26.797279Z","submitted_at":"2023-10-03T15:43:59Z","title":"Probabilistically Rewired Message-Passing Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02156","snapshot_observed_at":"2026-08-05T16:00:51.639319Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.639319Z"},"links":{"cited_paper":"/paper/2310.02156","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:ab7bd4be9d7565b16b299b959d697e0e3ad559233d41a8dbde226ac710680331","observation_id":"d3658a54-31ef-4ef3-8a1c-184375a5abb1","resolution":{"observed_at":"2026-08-05T16:00:51.639319Z","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":"2026-08-05T16:00:51.894438Z","title":null,"venue":null,"work_id":"cb11506c-b5fc-43bc-a391-6577849212b1","year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.642576Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:602345aeddbab373355312ad8d059f8bc53301a8fa33dbde37e58132eada1022","observation_id":"559c9bb7-60a2-47df-b91b-052c8c21a378","resolution":{"observed_at":"2026-08-05T16:00:51.897399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.645978Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.645978Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:301424afb7fa62f4a0715615fb45b7a96b2ca276fdbcebaf8bb4fb53d1a5a831","observation_id":"8f29492c-4311-480c-a4ad-1d0724494485","resolution":{"observed_at":"2026-08-05T16:00:51.645978Z","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":"2026-08-05T16:00:51.879044Z","title":null,"venue":null,"work_id":"8d754e05-22d7-4c17-8342-273063b1cb59","year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.649157Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:fc6a5886133fe5fc96503521850c75aab2e145104253bb452c0bebe78349afea","observation_id":"92ca6755-a0c9-46e9-86d1-af95ceecd8cd","resolution":{"observed_at":"2026-08-05T16:00:51.882167Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.655887Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.655887Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:c27f8c7f7ddf2f4bd2934366d7ad0799463feb4d2fc9723c4ce2eb8fb861deb0","observation_id":"f6b76b8f-6fa5-4354-b780-bd8da69e1581","resolution":{"observed_at":"2026-08-05T16:00:51.655887Z","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":"2026-08-05T16:00:51.854170Z","title":null,"venue":null,"work_id":"e86230da-221a-4fce-8b53-440210312665","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.658895Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:1cb7b9841ab243f11a36b6d77b44c54955dd5ab32be46acd3581bb539c9bbbc8","observation_id":"5f5e9435-781f-46d9-afe0-9f42d689a47d","resolution":{"observed_at":"2026-08-05T16:00:51.857098Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.845223Z","title":null,"venue":null,"work_id":"7143d26f-0681-4369-8ad2-1524f5b257c9","year":2021},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.661689Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:8c3b03ffccc8ac4cce6e7ccf62a03fda1fdc08350ae890b8d8d15270b24ce9e1","observation_id":"2a35a12a-65e2-421b-ba47-1b5a596dab8c","resolution":{"observed_at":"2026-08-05T16:00:51.848212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.664529Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.664529Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:ea3c169d07a687ff697d90311061d55d66276cc1af55d55a3e26df8998093ef4","observation_id":"9a00ba65-45a7-42ba-aa68-98bd1bf9b2b1","resolution":{"observed_at":"2026-08-05T16:00:51.664529Z","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":"2026-08-05T16:00:51.830732Z","title":null,"venue":null,"work_id":"92c04f5d-a310-4e2d-b87f-998019bd20aa","year":2022},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.667325Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:1f9e1790d05bd96392d297bb72f505aa2d14c9fe4a62bd5fbef6a401e914ef6c","observation_id":"143387d4-0ac7-445b-b590-332914b62302","resolution":{"observed_at":"2026-08-05T16:00:51.833758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.821484Z","title":null,"venue":null,"work_id":"57495e7b-83a1-4e69-ba78-cfca32b49fef","year":2018},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.670125Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:03db92ba0ecd5737a3a38c449c80df5cbfb242457ed8a734f6643eff05b731f1","observation_id":"f852731f-28c7-4427-a299-20580eb64885","resolution":{"observed_at":"2026-08-05T16:00:51.824333Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09125","last_updated":"2024-06-04T14:15:55Z","snapshot_observed_at":"2026-08-16T14:26:49.817368Z","submitted_at":"2024-01-17T11:01:28Z","title":"Understanding Heterophily for Graph Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09125","snapshot_observed_at":"2026-08-05T16:00:51.673184Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.673184Z"},"links":{"cited_paper":"/paper/2401.09125","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:69506547bc95870f74690c3b2b491084e6425a5c18807a2a6533d191083922bf","observation_id":"15612f42-b4b7-4387-8b13-ff1e14f5d3e5","resolution":{"observed_at":"2026-08-05T16:00:51.673184Z","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":"2026-08-05T16:00:51.812556Z","title":null,"venue":null,"work_id":"518b7e5e-fd48-422f-a259-a4d895cfcfaf","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.676208Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:2db0ae7fdc86d6fbadaa86e718d22585e29c2b878273ed5b9c60384302888d5e","observation_id":"cbae519b-52d6-44ed-8a46-e251cdf88dfb","resolution":{"observed_at":"2026-08-05T16:00:51.815591Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12223","last_updated":"2020-02-13T02:27:25Z","snapshot_observed_at":"2026-07-31T22:27:00.310523Z","submitted_at":"2019-09-26T16:20:37Z","title":"PairNorm: Tackling Oversmoothing in GNNs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12223","snapshot_observed_at":"2026-08-05T16:00:51.679258Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.679258Z"},"links":{"cited_paper":"/paper/1909.12223","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:b002288dd59dda116ed697966684ca7b0e9cdbffa564af32f0fd6cccf5cb0920","observation_id":"10e27c29-a93d-4cdd-9161-737c20ee645a","resolution":{"observed_at":"2026-08-05T16:00:51.679258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07082","last_updated":"2026-04-18T08:18:16Z","snapshot_observed_at":"2026-08-02T07:00:41.767213Z","submitted_at":"2022-02-14T23:07:47Z","title":"Graph Neural Networks for Graphs with Heterophily: A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07082","snapshot_observed_at":"2026-08-05T16:00:51.682216Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.682216Z"},"links":{"cited_paper":"/paper/2202.07082","citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:bcf09040412cdf04c6d019b6c45ca477a3b71ba3fc2ce8f960e6526ea19ec822","observation_id":"1f97fa87-f6fb-415c-b431-b6f94bd68ac6","resolution":{"observed_at":"2026-08-05T16:00:51.682216Z","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":"2026-08-05T16:00:51.802848Z","title":null,"venue":null,"work_id":"6347c33f-e032-4e53-8041-0fcfbbb9fff4","year":2020},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.685513Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:434f4db8369f78da10fd78e2079ec54f5c855416df51a21da61257e8e6a3178e","observation_id":"77f3b3ee-2f4a-44cd-a4a8-e64a950756fe","resolution":{"observed_at":"2026-08-05T16:00:51.806226Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:52.196481Z","title":"In Proceedings of the twenty-first annual ACM symposium on Theory of computing","venue":null,"work_id":"e073fae6-ea54-483f-86fe-65d0b1ae7322","year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":1989,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.515418Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:f5f05996f3484130086a56eb3f2682b83d229c0b2f1ad312c500ddb9cf16ce34","observation_id":"be9fcc58-b7b0-40b9-ada5-a13c14914273","resolution":{"observed_at":"2026-08-05T16:00:52.199729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.869412Z","title":"Scientific reports 8, 1 (2018), 8650","venue":null,"work_id":"0a48a8c0-1d34-41ef-b946-0679f37b6abc","year":2018},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.652600Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:31e294d6a9e4dad9a7820bf23b7692c55886649a7e8b4a9f03f23b755228808b","observation_id":"969c4c6e-dbe9-4df7-9229-481d4ee532e5","resolution":{"observed_at":"2026-08-05T16:00:51.872599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T16:00:51.912465Z","title":"In Advances in neural information processing systems (ICLR)","venue":null,"work_id":"b25f7909-fdbd-4afb-83ab-54864e9d32e0","year":null},"citing_paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T16:00:51.632907Z"},"links":{"citing_paper":"/paper/2508.19071"},"observation_digest":"sha256:3f02745d8daa1d57176159f737ce7c320663d772d478e63474e3b908b64fbb87","observation_id":"05ccd6b6-bc6d-4106-81d7-e351e465ecfe","resolution":{"observed_at":"2026-08-05T16:00:51.915862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.19071","last_updated":"2025-08-28T09:15:01Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T02:04:40.658006Z","submitted_at":"2025-08-26T14:28:31Z","title":"Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":1,"verified_fuzzy":7},"total_outbound_references":64},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2508.19071."}