{"as_of":"2026-08-12T14:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:850ed1b18b172116810aa261bd38b11a42e7a32a6eda7a0ef624439bf0f3368c","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:26:05.833929Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.05681/citation-record","integrity":"/paper/2507.05681/integrity","json":"/paper/2507.05681/citation-record.json","paper":"/paper/2507.05681"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:26:10.036808Z","title":"Sizing of clock distribution networks for high performance CPU chips,","venue":null,"work_id":"0b81124d-1f0c-4cc7-bbeb-4a04a69a0972","year":1996},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:03.686349Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:3478bf29e52c01829b1e05609b2cffcae51eb64a7f32bbb9c7f95d002b9790cc","observation_id":"47e5c444-e1a9-471d-930b-63e63a6771bc","resolution":{"observed_at":"2026-08-06T19:26:10.081684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.897486Z","title":"The clock distribution of the POWER4 mi- croprocessor,","venue":null,"work_id":"9dfb421b-1fee-4d5f-adfe-5aeeee1761e3","year":2002},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:03.769637Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:10e255fca10eb9da949d377a3ed476d2800a95f57c3142e9e744cbb2300834e4","observation_id":"45d911cb-ca01-41ba-aba9-1b00484de7e0","resolution":{"observed_at":"2026-08-06T19:26:09.969075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.772129Z","title":"A 5GHz duty-cycle correcting clock distribution network for the POWER6 microprocessor,","venue":null,"work_id":"25442200-17f4-43ef-b216-5399de06483d","year":2006},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:03.833368Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:ab6c95a0f904a539d41e3d502b824bc1a53733f9321e5f90b16f2598fa555c33","observation_id":"a7ec6777-69fc-4028-a83e-44557111338f","resolution":{"observed_at":"2026-08-06T19:26:09.830261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.652948Z","title":"Resonant clock design for a power-efficient high-volume x86–64 microprocessor,","venue":null,"work_id":"e265738e-0466-4366-94f8-e185863c64eb","year":2012},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:03.893639Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:a64080121bf720d8cc61fae9f940dc1f27144870661d9c59abdb6f183b44e69b","observation_id":"031f2b07-b4cd-4a64-8fce-90888e8ff69c","resolution":{"observed_at":"2026-08-06T19:26:09.706503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.545718Z","title":"Design of the two-core x86-64 amd “bulldozer","venue":null,"work_id":"60793f28-990e-48f4-9f6a-3fd880e6182f","year":2012},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:03.955176Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:8b40817af16d03436fdd8ea05c01d863ce2ad9474b85f7267d82d2b8f0ef1774","observation_id":"d42ced09-4e2a-4aa0-9c9a-78553b2a21bc","resolution":{"observed_at":"2026-08-06T19:26:09.592779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.347520Z","title":"High- performance clock mesh optimization,","venue":null,"work_id":"5e2ed5fd-5c8f-4a58-8879-034e9f423e21","year":2012},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.033875Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:cd967500b2132ad5b7e237f179e6f81567778ca1c5b2a6a77b479f5537540787","observation_id":"48d1d8ce-ff6b-4f25-84f3-1e018569d300","resolution":{"observed_at":"2026-08-06T19:26:09.447523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:09.164843Z","title":"Meshworks: an efficient framework for planning, synthesis and optimization of clock mesh networks,","venue":null,"work_id":"9cf0ad68-a733-4d06-b2f3-3ceb33f472d2","year":2008},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.156439Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:d43ca32c62eb8371c31871167fcf05693505186b73e16c137f7471fbefecd2a8","observation_id":"deb5dd5a-bc4b-4541-9d86-e1952e35229c","resolution":{"observed_at":"2026-08-06T19:26:09.234719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:08.902870Z","title":"Clock mesh synthesis method using the earth mover’s distance under transformations,","venue":null,"work_id":"0c34e119-9bd6-47f2-a197-c3cb3280e2db","year":2012},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.226128Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:f23973fe9a85fe975b5da49334878b88712308f4ebf1f68f4be87ac9eb292cc3","observation_id":"38086c96-c1dc-428e-95a5-365dd3787e37","resolution":{"observed_at":"2026-08-06T19:26:09.056716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:08.707171Z","title":"A novel scheme to reduce short-circuit power in mesh-based clock architectures,","venue":null,"work_id":"5547049e-9c29-4468-836f-b25e2290c3c4","year":2008},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.327087Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:31dda34d09bcb08527027fc273ea985e3be25f83bf9f041e88b8686d31a0d45d","observation_id":"d9e4af38-e89e-4241-a010-5a273d59ad46","resolution":{"observed_at":"2026-08-06T19:26:08.819409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:08.456964Z","title":"Non-uniform clock mesh optimization with linear programming buffer insertion,","venue":null,"work_id":"8f6fd8f9-bab7-4338-854c-0cbf2af53de5","year":2010},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.460894Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:8563cc900110cc54b8c791c6848505db2c841ab705589e5734b282dda7e6c990","observation_id":"e3c3c028-c2bf-47d8-b5c7-7ad17579c401","resolution":{"observed_at":"2026-08-06T19:26:08.561378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:08.206313Z","title":"Timing- driven variation-aware nonuniform clock mesh synthesis,","venue":null,"work_id":"a0af7d74-43b1-4124-8a10-ead43e8bba14","year":2010},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.554947Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:a5b3329ccb1d5756d591046008ededcc28c5888ee33a84b537ec13034e207138","observation_id":"656be995-2a66-407e-b97d-7a158cec791d","resolution":{"observed_at":"2026-08-06T19:26:08.343571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10993","last_updated":"2023-03-20T10:21:29Z","snapshot_observed_at":"2026-08-10T02:14:11.377359Z","submitted_at":"2023-03-20T10:21:29Z","title":"A Survey on Oversmoothing in Graph Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10993","snapshot_observed_at":"2026-08-06T19:26:04.638182Z","title":"A survey on oversmooth- ing in graph neural networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.638182Z"},"links":{"cited_paper":"/paper/2303.10993","citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:350a751b3d318f0b879d025fec3ab52ae71b81484603787c2d1e03e31aa4ffcf","observation_id":"438f927a-660b-4574-8977-179c531b354f","resolution":{"observed_at":"2026-08-06T19:26:04.638182Z","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":"2026-08-06T19:26:08.002365Z","title":"Attention is all you need,","venue":null,"work_id":"5bb458f1-8278-4d52-9966-0ae1e42955b5","year":2017},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.697752Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:1414e461246c8c04d793a0d3da68542366d46b5e4d61809c954b2339c43aa58e","observation_id":"e4d22120-80f1-4367-9227-c490b7092c4c","resolution":{"observed_at":"2026-08-06T19:26:08.073480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.03536","last_updated":"2018-06-25T19:52:28Z","snapshot_observed_at":"2026-07-06T06:43:56.885493Z","submitted_at":"2018-06-09T19:49:57Z","title":"Representation Learning on Graphs with Jumping Knowledge Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.03536","snapshot_observed_at":"2026-08-06T19:26:04.775811Z","title":"Representation learning on graphs with jumping knowledge networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.775811Z"},"links":{"cited_paper":"/paper/1806.03536","citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:41fce00f8db2cac274f7867525300ed7a81d56d77975010f9c6b1c2b346e24cb","observation_id":"f485802a-8835-4ad4-90e7-2f79f52b388d","resolution":{"observed_at":"2026-08-06T19:26:04.775811Z","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":"2026-08-06T19:26:07.776183Z","title":"Bufformer: A generative ml framework for scalable buffering,","venue":null,"work_id":"f346e26f-cc47-4850-96df-8ce62120ec78","year":2023},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.850392Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:2d0949f9f23fa552c91dfc4e2d42c8a54f49942b98429bbf6491a6c68c40e9ae","observation_id":"32a21d5c-712e-46ce-acc8-bcef11d3cad3","resolution":{"observed_at":"2026-08-06T19:26:07.878248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:07.563311Z","title":"Fast and accurate wire timing estimation based on graph learning,","venue":null,"work_id":"b901bb7e-34e7-43e0-9a01-7768b90140ed","year":2023},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:04.926597Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:30727297964c4ce5f89c13e81affd92d570e4bc7b6a8789afd0e6f0dfc4c078b","observation_id":"fffd3a3c-ec28-429f-b26f-2273a1e03ff2","resolution":{"observed_at":"2026-08-06T19:26:07.639109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:07.348192Z","title":"Fast and accurate wire timing estimation on tree and non-tree net structures,","venue":null,"work_id":"53a1e9ee-28e2-46bc-9988-d2d894137fca","year":2020},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.017335Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:9ccdc4ff4c7eb5499a2591de3a8a041d0c9647f293742e8fa7883b76e2b29400","observation_id":"d20d506c-2bd8-460c-920c-67925466b5e3","resolution":{"observed_at":"2026-08-06T19:26:07.448624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-06T19:26:05.091912Z","title":"Graph Attention Networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.091912Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:0a3bca6324661c353bb9f48c812553a0bf622bc0c2f6f14aefc87e28e895e11c","observation_id":"be78a6fc-feb1-4285-9983-de580be067c3","resolution":{"observed_at":"2026-08-06T19:26:05.091912Z","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":"2026-08-06T19:26:07.109156Z","title":"The OpenROAD project: Unleashing hardware innovation,","venue":null,"work_id":"e33ce0a5-2ced-405f-979a-c0562a1f3b16","year":2021},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.169438Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:1476454ea997d3fbef5f11e92c71d662dad2cd5901d875eddb1f4b4546d21a3e","observation_id":"89d29276-9182-44ef-8632-431055675061","resolution":{"observed_at":"2026-08-06T19:26:07.209266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:06.872529Z","title":"Zero-skew clock routing trees with minimum wirelength,","venue":null,"work_id":"0dfe7a34-82fa-4ee7-9e37-26b2ccbec04d","year":1992},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.241827Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:7ec85c6bb161bd05d717304e09eac69a87a01761dd5fda1fe794ab719d0086d8","observation_id":"2f3b736e-ca4b-47f0-9eea-047b64c8751f","resolution":{"observed_at":"2026-08-06T19:26:07.001371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:06.634262Z","title":"Zero skew clock net routing,","venue":null,"work_id":"0b24fac2-1a2f-491c-b914-58b006c56d90","year":1992},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.344268Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:5657880208ab277be0c32af55c2b1066aa6798608fa9f8724b4c54111f572d97","observation_id":"ddfe6438-b809-42db-8e51-7a6a1310c905","resolution":{"observed_at":"2026-08-06T19:26:06.764368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:06.407978Z","title":"Zero skew clock-tree optimiza- tion with buffer insertion/sizing and wire sizing,","venue":null,"work_id":"3c323627-eca3-4c9b-951c-e877fa8c1529","year":2004},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.443774Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:c4c6f6b2432ecf8697ef421fb8cf4ead2c6821c158837d9cdf609ca5db829064","observation_id":"b388850e-7e62-4083-92aa-633e17b76672","resolution":{"observed_at":"2026-08-06T19:26:06.493741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:05.527737Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.527737Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:b022b9946239a896bd58e81d6d42c3e77e5364e4e18f0fb653429a6d3b3bb657","observation_id":"95481fd3-7c63-4aaa-984a-24ca6d767778","resolution":{"observed_at":"2026-08-06T19:26:05.527737Z","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":"2026-08-06T19:26:06.218434Z","title":"Fast and accurate deep network learning by exponential linear units (elus),","venue":null,"work_id":"f8ce4307-0e6f-49f0-8b0b-27ffbef2a351","year":2016},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.602960Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:c1f5ce1bc02edb6914dad3a1078bae3bf072d631d147a39e576fa1962cc6d254","observation_id":"c47e0057-7700-44c8-ab54-a05c6c99093c","resolution":{"observed_at":"2026-08-06T19:26:06.290967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T19:26:05.678496Z","title":"PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.678496Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:34dee8c3646ca8355ca1a3414ad061a93031abd66c616c36b9a1a13f32c6507e","observation_id":"be26d622-f11d-44ee-bbbd-3809a854fb95","resolution":{"observed_at":"2026-08-06T19:26:05.678496Z","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":"2026-08-06T19:26:05.750990Z","title":"Fast graph representation learning with PyTorch Geometric,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.750990Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:d09ad9ec5a44a7955d0be580dc669581ad5b630117165e4940ccb2c05a7bc777","observation_id":"25ca4e65-b17e-4cb5-87b3-90050255c3c3","resolution":{"observed_at":"2026-08-06T19:26:05.750990Z","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":"2026-08-06T19:26:05.990725Z","title":"ngspice – open source circuit simulator, version 42","venue":null,"work_id":"d1315728-a7f1-4ce6-9be4-38162b6a9216","year":2024},"citing_paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:26:05.833929Z"},"links":{"citing_paper":"/paper/2507.05681"},"observation_digest":"sha256:548e2a333c128c529047feaa4aa0b3a781d6352f5b671244fbc1b6e1d6a0bdab","observation_id":"57e2351d-aa44-4f32-9f65-48308a1a538d","resolution":{"observed_at":"2026-08-06T19:26:06.088240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.05681","last_updated":"2025-07-08T05:18:42Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-09T18:30:06.540450Z","submitted_at":"2025-07-08T05:18:42Z","title":"GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":27},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.05681."}