{"as_of":"2026-08-07T04:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8efba698a5eb7c6f823952cf58e018ebd1fc02dd905ff6f6e72476597b9646ec","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T13:08:14.862234Z","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":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T06:16:15.914631Z","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":"2026-05-25T02:46:33.845016Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":"2507.21039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-parallel leading-order event generation in MadGraph5aMC@NLO","venue":null,"work_id":"32d5acf7-b039-4aaf-bf50-e50a41948f13","year":2025},"citing_paper":{"arxiv_id":"2511.19633","last_updated":"2026-05-18T10:41:29Z","snapshot_observed_at":"2026-08-05T03:17:36.225275Z","submitted_at":"2025-11-24T19:10:28Z","title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T05:44:29.208658Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2511.19633"},"observation_digest":"sha256:610e1bdc5d1f1ebd276660e56606177da73d9b78584e2fd270c145e208b18bb0","observation_id":"214743af-c41e-4394-ac23-c04b0c3936d1","resolution":{"observed_at":"2026-05-17T05:49:08.411063Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":"2507.21039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-parallel leading-order event generation in MadGraph5aMC@NLO","venue":null,"work_id":"32d5acf7-b039-4aaf-bf50-e50a41948f13","year":2025},"citing_paper":{"arxiv_id":"2511.19633","last_updated":"2026-05-18T10:41:29Z","snapshot_observed_at":"2026-08-05T03:17:36.225275Z","submitted_at":"2025-11-24T19:10:28Z","title":"An NLO-Matched Initial and Final State Parton Shower on a GPU","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-21T18:06:47.585754Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2511.19633"},"observation_digest":"sha256:1c225989a22a9d9eb8c1ef1de11679aae4ec2378fbc0070d53b05ca7f7cd7d34","observation_id":"3724adeb-064b-4a9d-be5f-d06b4a214955","resolution":{"observed_at":"2026-05-21T18:10:27.703502Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":"2507.21039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-parallel leading-order event generation in MadGraph5aMC@NLO","venue":null,"work_id":"32d5acf7-b039-4aaf-bf50-e50a41948f13","year":2025},"citing_paper":{"arxiv_id":"2605.12229","last_updated":"2026-05-12T15:05:20Z","snapshot_observed_at":"2026-07-06T23:23:59.123377Z","submitted_at":"2026-05-12T15:05:20Z","title":"Open LHC Monte Carlo Event Generation","version":1},"reference_index":153,"source":"arxiv_source","source_observed_at":"2026-05-13T04:43:49.343601Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2605.12229"},"observation_digest":"sha256:f1ab7a436fb1f79d829c24d030151ece9a68a93955d0035d66e9fd6db4f3c057","observation_id":"04811df2-0a9a-4d1e-b171-815c5e175906","resolution":{"observed_at":"2026-05-13T05:12:18.346367Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":"2507.21039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-parallel leading-order event generation in MadGraph5aMC@NLO","venue":null,"work_id":"32d5acf7-b039-4aaf-bf50-e50a41948f13","year":2025},"citing_paper":{"arxiv_id":"2605.16036","last_updated":"2026-07-20T16:00:31Z","snapshot_observed_at":"2026-08-03T07:20:30.685276Z","submitted_at":"2026-05-15T15:11:09Z","title":"The Monte Carlo Ecosystem in High-Energy Physics: A Primer","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-20T16:34:07.082712Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2605.16036"},"observation_digest":"sha256:c1704cc870751d7a10db77a87d45e42174e7d515019f00984c48b6383de83306","observation_id":"213adc10-667c-4d50-99f1-1d5e9494538e","resolution":{"observed_at":"2026-05-20T16:38:40.044842Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":"2507.21039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-parallel leading-order event generation in MadGraph5aMC@NLO","venue":null,"work_id":"32d5acf7-b039-4aaf-bf50-e50a41948f13","year":2025},"citing_paper":{"arxiv_id":"2605.23785","last_updated":"2026-05-22T15:49:31Z","snapshot_observed_at":"2026-08-04T04:14:15.521634Z","submitted_at":"2026-05-22T15:49:31Z","title":"FPGA Acceleration of Matrix-Element Calculations for Monte Carlo Event Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T02:40:42.324459Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2605.23785"},"observation_digest":"sha256:84c4221467d092dfa9a2b229825bf6fad0221400bb29fe1178af558f1f563bcd","observation_id":"dae179d8-ce16-4f1a-95a1-17a4462167bd","resolution":{"observed_at":"2026-05-25T02:46:33.847891Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.21039","snapshot_observed_at":"2026-08-02T06:16:15.914631Z","title":"Data-parallel leading-order event generation in MadGraph5 aMC@NLO,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21629","last_updated":"2026-07-14T16:45:07Z","snapshot_observed_at":"2026-08-06T05:53:01.583463Z","submitted_at":"2026-07-14T16:45:07Z","title":"Scattering Amplitudes as Programs: Self-Evolving Search for Theory and Event Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T06:16:15.914631Z"},"links":{"cited_paper":"/paper/2507.21039","citing_paper":"/paper/2607.21629"},"observation_digest":"sha256:5734e8cb38d46b1cb4fb83cdf15e006cf08b0a66b5fbee9316dd426814028bb7","observation_id":"a7893e18-a3bc-4b46-a872-a35542b3641b","resolution":{"observed_at":"2026-08-02T06:16:15.914631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.21039/citation-record","integrity":"/paper/2507.21039/integrity","json":"/paper/2507.21039/citation-record.json","paper":"/paper/2507.21039"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:15.846358Z","title":"Schmidt, The High-Luminosity upgrade of the LHC: Physics and Technology Challenges for the Accelerator and the Experiments, Journal of Physics: Conference Series 706 (apr,","venue":null,"work_id":"292cafbd-cec1-444f-8ede-8e9049280473","year":null},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:09.351006Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:f78c4b7b2d7de8b7743cd00a575a7eda043e5f35bf300ccae7954df58d9a7167","observation_id":"9419a63b-f638-4d8c-98b8-2ab472f721b1","resolution":{"observed_at":"2026-08-06T13:08:15.850307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.06982","last_updated":"2018-12-19T11:07:00Z","snapshot_observed_at":"2026-07-06T06:15:08.624197Z","submitted_at":"2017-12-18T17:55:32Z","title":"A Roadmap for HEP Software and Computing R&D for the 2020s","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.06982","snapshot_observed_at":"2026-08-06T13:08:09.474090Z","title":"3\" (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:09.474090Z"},"links":{"cited_paper":"/paper/1712.06982","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:b1a88cd23627d8516087ef092256671a9e9579522e2834369d1d80c39a031a2c","observation_id":"4c42d9e9-98e2-4969-a9c9-e94856d0682b","resolution":{"observed_at":"2026-08-06T13:08:09.474090Z","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":"2026-08-06T13:08:15.837780Z","title":null,"venue":null,"work_id":"2dddf4ef-6c33-447d-bc94-fe319753a7af","year":2016},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:09.652748Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:18554c2b41f19f1fe824cc987bf4f586348fa746e7b3b4be12dbab394aa65942","observation_id":"3f83295b-3d8a-4800-abe0-62646d784283","resolution":{"observed_at":"2026-08-06T13:08:15.840599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:09.754080Z","title":"ATLAS Software and Computing HL-LHC Roadmap","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:09.754080Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:d47ee85e8d356277f99a0fc87883dc1d62591f0d38c7a5d750364decbf2e982b","observation_id":"f6bd430c-3364-4acd-8311-6e1e390b2224","resolution":{"observed_at":"2026-08-06T13:08:09.754080Z","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":"record/2815292","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:15.622068Z","title":"CMS Phase-2 Computing Model: Update Document","venue":null,"work_id":"13e67628-673e-4390-b05c-472e15d68763","year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:09.935274Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:0c23287ecca63a3d12c060fd718ddd938ee0bb0af0ab715042b78a3fffb8f924","observation_id":"cd50ba07-c877-426c-b1d3-442444f40d52","resolution":{"observed_at":"2026-08-06T13:08:15.627506Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.13687","last_updated":"2021-02-18T14:34:32Z","snapshot_observed_at":"2026-07-06T09:15:57.147400Z","submitted_at":"2020-04-28T17:42:03Z","title":"Challenges in Monte Carlo event generator software for High-Luminosity LHC","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.13687","snapshot_observed_at":"2026-08-06T13:08:10.051691Z","title":"Valassi, E","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.051691Z"},"links":{"cited_paper":"/paper/2004.13687","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:c8185ed35508616c4894ab359e129261d1f878f97c9c16e0b2f2959584e7d303","observation_id":"8111ac05-56ec-44a0-b220-ccaddc0b89b0","resolution":{"observed_at":"2026-08-06T13:08:10.051691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1101.2599","last_updated":"2011-01-13T15:59:32Z","snapshot_observed_at":"2026-08-04T11:31:33.982904Z","submitted_at":"2011-01-13T15:59:32Z","title":"General-purpose event generators for LHC physics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1101.2599","snapshot_observed_at":"2026-08-06T13:08:10.200629Z","title":"Buckley et al., General-purpose event generators for LHC physics, Phys","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.200629Z"},"links":{"cited_paper":"/paper/1101.2599","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:ad568ca4b242538e2a3077ec4904aa2c9a4ae76cf8913bde615564360acc578e","observation_id":"ee129259-95db-4d74-ba60-faa4d9801953","resolution":{"observed_at":"2026-08-06T13:08:10.200629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.06425","last_updated":"2016-08-23T09:11:46Z","snapshot_observed_at":"2026-07-06T05:07:51.330826Z","submitted_at":"2016-08-23T09:11:46Z","title":"Status and developments of event generators","version":1},"cited_work":{"arxiv_id":"1608.06425","doi":null,"metadata_source":"pith","pith_arxiv_id":"1608.06425","snapshot_observed_at":"2026-08-06T13:08:15.525473Z","title":"Status and developments of event generators","venue":"hep-ph","work_id":"51dbf617-6f38-488a-980f-42b152a9b4c5","year":2016},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.359507Z"},"links":{"cited_paper":"/paper/1608.06425","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:a91552e80aeba0127388be997826c48c7ddb93d4778084c6836a752f10bd248c","observation_id":"3e5699e0-500b-46dd-9123-c754b0644842","resolution":{"observed_at":"2026-08-06T13:08:15.529184Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11110","last_updated":"2025-02-26T18:33:13Z","snapshot_observed_at":"2026-07-06T12:50:18.516456Z","submitted_at":"2022-03-21T16:40:17Z","title":"Event Generators for High-Energy Physics Experiments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11110","snapshot_observed_at":"2026-08-06T13:08:10.492188Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.492188Z"},"links":{"cited_paper":"/paper/2203.11110","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:922954fa4189f61f25b7c23e48d7494cf3cbb2fb9d020cf151ec427b97a84511","observation_id":"1851d2d3-ee45-462f-83b3-7236f7af548e","resolution":{"observed_at":"2026-08-06T13:08:10.492188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.12716","last_updated":"2020-07-20T12:45:31Z","snapshot_observed_at":"2026-07-06T09:00:54.747719Z","submitted_at":"2020-02-28T13:57:20Z","title":"On the reduction of negative weights in MC@NLO-type matching procedures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.12716","snapshot_observed_at":"2026-08-06T13:08:10.597162Z","title":"Frederix, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.597162Z"},"links":{"cited_paper":"/paper/2002.12716","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:1a5e60af39034c7d7d0bf6803017261b6f2e3ee8ca59f8e5172eb49d46eec5c4","observation_id":"94164ada-898f-4202-939f-e5c339336416","resolution":{"observed_at":"2026-08-06T13:08:10.597162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07851","last_updated":"2022-05-16T14:35:41Z","snapshot_observed_at":"2026-07-06T11:48:17.982155Z","submitted_at":"2021-09-16T10:31:52Z","title":"Unbiased Elimination of Negative Weights in Monte Carlo Samples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07851","snapshot_observed_at":"2026-08-06T13:08:10.729907Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.729907Z"},"links":{"cited_paper":"/paper/2109.07851","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:9854308c0d802c5cc4d6e159f0e0df74cfe9f7c429c5c582a0e7cab6a3c0aefb","observation_id":"361855c9-8a97-4e95-94b6-d8ec4e056c94","resolution":{"observed_at":"2026-08-06T13:08:10.729907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04160","last_updated":"2023-10-06T11:18:39Z","snapshot_observed_at":"2026-07-06T16:28:42.964476Z","submitted_at":"2023-10-06T11:18:39Z","title":"A new way of reducing negative weights in MC@NLO","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04160","snapshot_observed_at":"2026-08-06T13:08:10.936797Z","title":"Frederix and P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:10.936797Z"},"links":{"cited_paper":"/paper/2310.04160","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:efc5d49d129ef8b6fe02a6fb85e14bff916117ff6d469f53b453c8b75f51c6c1","observation_id":"1b7d63cd-7e6c-45c7-80d0-9b92f0474bc9","resolution":{"observed_at":"2026-08-06T13:08:10.936797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.00773","last_updated":"2021-04-23T11:18:50Z","snapshot_observed_at":"2026-08-05T19:29:07.375794Z","submitted_at":"2021-02-01T11:16:38Z","title":"Speeding up MadGraph5_aMC@NLO","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.00773","snapshot_observed_at":"2026-08-06T13:08:11.088758Z","title":"Mattelaer and K","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.088758Z"},"links":{"cited_paper":"/paper/2102.00773","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:24e75b62a69662b97bf044fa4b77c6db3cf6d17cd08ce617c1e681d2a13c3ed2","observation_id":"8b0528ce-73e8-4217-814c-5a0640cbcbf3","resolution":{"observed_at":"2026-08-06T13:08:11.088758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07267","last_updated":"2022-12-19T12:45:09Z","snapshot_observed_at":"2026-07-06T14:04:55.099373Z","submitted_at":"2022-10-13T18:02:45Z","title":"Improving Colour Computations in MadGraph5_aMC@NLO and Exploring a 1/Nc Expansion","version":2},"cited_work":{"arxiv_id":"2210.07267","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.07267","snapshot_observed_at":"2026-08-06T13:08:15.455017Z","title":"Improving Colour Computations in MadGraph5_aMC@NLO and Exploring a 1/Nc Expansion","venue":"hep-ph","work_id":"116d1dc2-043e-4a7d-bfba-1934e765cbee","year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.215567Z"},"links":{"cited_paper":"/paper/2210.07267","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:6acb6c6886a78f8a655514bbff9cdc0d28ad5d3273f4ec82abb08fc18590a27c","observation_id":"169dc680-6d30-4f11-9ae2-afa6a4adf661","resolution":{"observed_at":"2026-08-06T13:08:15.458425Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03003","last_updated":"2020-07-02T00:06:40Z","snapshot_observed_at":"2026-08-04T07:42:18.669127Z","submitted_at":"2020-03-06T02:17:47Z","title":"QED and QCD helicity amplitudes in parton-shower gauge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.03003","snapshot_observed_at":"2026-08-06T13:08:11.337829Z","title":"Hagiwara, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.337829Z"},"links":{"cited_paper":"/paper/2003.03003","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:895305b938e9c43ce31ece8e3d5418a12b6b070b2fc0f4991c63b15d12332d1c","observation_id":"3dc20c25-9db4-4afe-b8a7-c52ecb1e7139","resolution":{"observed_at":"2026-08-06T13:08:11.337829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10440","last_updated":"2023-10-11T07:39:44Z","snapshot_observed_at":"2026-07-06T12:49:54.274291Z","submitted_at":"2022-03-20T03:32:45Z","title":"Helicity amplitudes without gauge cancellation for electroweak processes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.10440","snapshot_observed_at":"2026-08-06T13:08:11.510350Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.510350Z"},"links":{"cited_paper":"/paper/2203.10440","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:b82ea9f1f115d6682c18a168ee5d6a1d471dc8429526790531da851f60693198","observation_id":"d25dca80-e9d4-4bee-8779-424dc2bcfe54","resolution":{"observed_at":"2026-08-06T13:08:11.510350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.14562","last_updated":"2023-11-19T07:30:06Z","snapshot_observed_at":"2026-07-06T14:23:19.387889Z","submitted_at":"2022-11-26T13:25:03Z","title":"Helicity amplitudes in light-cone and Feynman-diagram gauges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.14562","snapshot_observed_at":"2026-08-06T13:08:11.666935Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.666935Z"},"links":{"cited_paper":"/paper/2211.14562","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:9a9a538a2fc984f6114fe2d0a0be8fdbc87f641a01a818ee14cd5b00c12e99c3","observation_id":"9cb2ec58-d5ca-4574-b83e-aece11921cac","resolution":{"observed_at":"2026-08-06T13:08:11.666935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01256","last_updated":"2024-05-03T03:09:48Z","snapshot_observed_at":"2026-07-06T18:08:47.546742Z","submitted_at":"2024-05-02T13:00:29Z","title":"Automatic generation of helicity amplitudes in Feynman-Diagram gauge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01256","snapshot_observed_at":"2026-08-06T13:08:11.809324Z","title":"Hagiwara, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.809324Z"},"links":{"cited_paper":"/paper/2405.01256","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:9fad7b8be02debfc6b91e956014d392983f25f38bda05651735425d61c882b4c","observation_id":"c544a057-42fa-4efc-bc00-97b6c2cdb44e","resolution":{"observed_at":"2026-08-06T13:08:11.809324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13618","last_updated":"2022-03-25T12:36:10Z","snapshot_observed_at":"2026-07-06T12:52:30.875655Z","submitted_at":"2022-03-25T12:36:10Z","title":"Automating scattering amplitudes with chirality flow","version":1},"cited_work":{"arxiv_id":"2203.13618","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.13618","snapshot_observed_at":"2026-08-06T13:08:15.401091Z","title":"Automating scattering amplitudes with chirality flow","venue":"hep-ph","work_id":"3fc38265-d430-423a-9ea9-1efcc467ad80","year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:11.933845Z"},"links":{"cited_paper":"/paper/2203.13618","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:3ef85a1981564418ebde7d4eebe867baaab6a65315f3b6ca6ea8d844c22758a2","observation_id":"966d23ad-16a2-496b-b55c-72d2c719a75c","resolution":{"observed_at":"2026-08-06T13:08:15.404794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07447","last_updated":"2024-02-16T10:54:20Z","snapshot_observed_at":"2026-07-06T17:00:33.386675Z","submitted_at":"2023-12-12T17:15:39Z","title":"Simplifying QCD event generation with chirality flow, reference vectors and spin directions","version":2},"cited_work":{"arxiv_id":"2312.07447","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.07447","snapshot_observed_at":"2026-08-06T13:08:15.385277Z","title":"Simplifying QCD event generation with chirality flow, reference vectors and spin directions","venue":"hep-ph","work_id":"6d2180ae-2cdb-479e-b5c9-9b249d67ca67","year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.069194Z"},"links":{"cited_paper":"/paper/2312.07447","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:4317ae4517acf10818d2f80dd99286fb1f2ef2e79524dd730405f58c1cb2ba63","observation_id":"105e15ea-b214-44e8-9bbb-3db92d96e58e","resolution":{"observed_at":"2026-08-06T13:08:15.388787Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1010.2107","last_updated":"2010-10-11T13:53:59Z","snapshot_observed_at":"2026-07-06T02:16:44.569804Z","submitted_at":"2010-10-11T13:53:59Z","title":"Monte Carlo integration on GPU","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1010.2107","snapshot_observed_at":"2026-08-06T13:08:12.158028Z","title":"Kanzaki, Monte Carlo integration on GPU, Eur","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.158028Z"},"links":{"cited_paper":"/paper/1010.2107","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:242cab453be3e37db9274af93d9dd1b20f12f34ce483e68d5aa94e13b509c7a4","observation_id":"877b5c79-0142-47ef-95c9-a3748efd450b","resolution":{"observed_at":"2026-08-06T13:08:12.158028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0908.4403","last_updated":"2010-10-11T14:21:29Z","snapshot_observed_at":"2026-07-06T01:59:49.798073Z","submitted_at":"2009-08-30T16:13:55Z","title":"Fast calculation of HELAS amplitudes using graphics processing unit (GPU)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0908.4403","snapshot_observed_at":"2026-08-06T13:08:12.264209Z","title":"Hagiwara, J","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.264209Z"},"links":{"cited_paper":"/paper/0908.4403","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:be2c09d28493d4b1d40e28592ecbf07b810af09f9bc54a4d429443f112c07a55","observation_id":"05c3d2db-9d87-49df-be20-6f8ff106b21e","resolution":{"observed_at":"2026-08-06T13:08:12.264209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1305.0708","last_updated":"2013-11-13T15:54:53Z","snapshot_observed_at":"2026-07-06T03:12:34.901513Z","submitted_at":"2013-05-03T14:01:41Z","title":"Fast computation of MadGraph amplitudes on graphics processing unit (GPU)","version":3},"cited_work":{"arxiv_id":"1305.0708","doi":null,"metadata_source":"pith","pith_arxiv_id":"1305.0708","snapshot_observed_at":"2026-08-06T13:08:15.346499Z","title":"Fast computation of MadGraph amplitudes on graphics processing unit (GPU)","venue":"physics.comp-ph","work_id":"9fd0451a-a429-4086-93f0-21999cb32cef","year":2013},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.413843Z"},"links":{"cited_paper":"/paper/1305.0708","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:c16ff2589cf5caaf6a2d46ef07cfb4b16d9500f4001fa8370eb561d19cda7a9e","observation_id":"bf8095ba-dc5e-471f-bdca-e07646506fa2","resolution":{"observed_at":"2026-08-06T13:08:15.350171Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.06507","last_updated":"2022-01-10T16:22:05Z","snapshot_observed_at":"2026-08-06T16:31:42.956670Z","submitted_at":"2021-06-11T17:02:36Z","title":"Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.06507","snapshot_observed_at":"2026-08-06T13:08:12.532077Z","title":"Bothmann, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.532077Z"},"links":{"cited_paper":"/paper/2106.06507","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:9bbee29d3be33f9d47b82d68128e5735ca45a18553c5cb1a854096cb6faf3a68","observation_id":"d015b086-9ebc-49ce-9d52-7dc4f789e398","resolution":{"observed_at":"2026-08-06T13:08:12.532077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.10279","last_updated":"2021-06-18T18:00:00Z","snapshot_observed_at":"2026-07-06T11:20:49.881453Z","submitted_at":"2021-06-18T18:00:00Z","title":"MadFlow: automating Monte Carlo simulation on GPU for particle physics processes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.10279","snapshot_observed_at":"2026-08-06T13:08:12.672012Z","title":"Carrazza, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.672012Z"},"links":{"cited_paper":"/paper/2106.10279","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:5efcc59fe82bb5e9cfcd96f6a0ec8d462beee6486aae97df518f0135217330f2","observation_id":"d2a829a4-f99c-4cc6-8054-93356a506aa0","resolution":{"observed_at":"2026-08-06T13:08:12.672012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06198","last_updated":"2024-08-09T09:53:54Z","snapshot_observed_at":"2026-07-06T16:45:47.395736Z","submitted_at":"2023-11-10T17:27:47Z","title":"A Portable Parton-Level Event Generator for the High-Luminosity LHC","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06198","snapshot_observed_at":"2026-08-06T13:08:12.766803Z","title":"Bothmann, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.766803Z"},"links":{"cited_paper":"/paper/2311.06198","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:42f78144b8721d87ca97a7c4f0350d860d96ac540ea6ab73b57f00f21c25c106","observation_id":"77f4c5ac-66c7-412a-aa4b-4f5a1a80a607","resolution":{"observed_at":"2026-08-06T13:08:12.766803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07060","last_updated":"2025-08-01T08:42:15Z","snapshot_observed_at":"2026-07-06T20:34:25.437106Z","submitted_at":"2025-02-10T21:51:17Z","title":"Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07060","snapshot_observed_at":"2026-08-06T13:08:12.882825Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:12.882825Z"},"links":{"cited_paper":"/paper/2502.07060","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:a11a80b106ccc3ea3c7a401c19c00c75092735f38df5b821e425c6ef04176c2d","observation_id":"feef481c-7e9c-4df5-bc68-413b434ee960","resolution":{"observed_at":"2026-08-06T13:08:12.882825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.12631","last_updated":"2021-07-13T10:07:09Z","snapshot_observed_at":"2026-07-06T11:22:19.116944Z","submitted_at":"2021-06-23T18:59:45Z","title":"Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs","version":2},"cited_work":{"arxiv_id":"2106.12631","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.12631","snapshot_observed_at":"2026-08-06T13:08:15.279954Z","title":"Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs","venue":"physics.comp-ph","work_id":"1818b459-7d39-4d66-a11c-8ee0f7002fc9","year":2021},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.017162Z"},"links":{"cited_paper":"/paper/2106.12631","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:b3969352940873fe90ae2433f5bf1dd78d5f25dfc9549cae9b47162b426ec676","observation_id":"27e32f0a-084c-45b1-97d7-3163db7b2639","resolution":{"observed_at":"2026-08-06T13:08:15.284408Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11122","last_updated":"2022-10-20T09:33:17Z","snapshot_observed_at":"2026-08-04T13:12:16.284195Z","submitted_at":"2022-10-20T09:33:17Z","title":"Developments in Performance and Portability for MadGraph5_aMC@NLO","version":1},"cited_work":{"arxiv_id":"2210.11122","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.11122","snapshot_observed_at":"2026-08-06T13:08:15.262532Z","title":"Developments in Performance and Portability for MadGraph5_aMC@NLO","venue":"physics.comp-ph","work_id":"e623bea8-dfc3-4f9d-a16b-e81c64e394ba","year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.141416Z"},"links":{"cited_paper":"/paper/2210.11122","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:30aff6855ecc2508c9ddb437f8c869d8e010d827bbc1bdd378557fdfd4f6ed57","observation_id":"248b958e-2f97-43aa-808b-387e70d0c6a9","resolution":{"observed_at":"2026-08-06T13:08:15.266843Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18244","last_updated":"2023-12-09T08:29:02Z","snapshot_observed_at":"2026-07-06T15:10:41.528837Z","submitted_at":"2023-03-31T17:58:23Z","title":"Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18244","snapshot_observed_at":"2026-08-06T13:08:13.257994Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.257994Z"},"links":{"cited_paper":"/paper/2303.18244","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:4094fc29327c18bd3b2f20018e82c5fcee2aed6c780a24ec9b6a9c46ebc8c17c","observation_id":"e0269dd5-3126-428e-8cc8-4aaf1dd60366","resolution":{"observed_at":"2026-08-06T13:08:13.257994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02898","last_updated":"2023-12-05T17:12:03Z","snapshot_observed_at":"2026-07-06T16:57:17.747414Z","submitted_at":"2023-12-05T17:12:03Z","title":"Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release","version":1},"cited_work":{"arxiv_id":"2312.02898","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.02898","snapshot_observed_at":"2026-08-06T13:08:15.232454Z","title":"Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release","venue":"physics.comp-ph","work_id":"03442945-d934-4a0d-9770-50ddbdb34f3f","year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.299516Z"},"links":{"cited_paper":"/paper/2312.02898","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:7902adfbbe29d1c69ecd2c1dcc0cb10f26d0d5959fdabec804c390cce083ab37","observation_id":"9d1e6436-e13e-4f5d-8a04-8816e069f59a","resolution":{"observed_at":"2026-08-06T13:08:15.236470Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.21935","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:15.213054Z","title":"Valassi, T","venue":null,"work_id":"12ae0bff-5ee0-464a-a5bd-3eb82ac7ef74","year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.379437Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:d221fd6b2c5e8cc788036e9a67a71ec1fe87356e1f2a880aabb94bae5deea829","observation_id":"ceaa69a1-7fb9-46c9-bb97-06033bbc5e31","resolution":{"observed_at":"2026-08-06T13:08:15.219006Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.0301","last_updated":"2014-07-21T09:46:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-05-01T20:24:46Z","title":"The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.0301","snapshot_observed_at":"2026-08-06T13:08:13.506141Z","title":"Alwall, R","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.506141Z"},"links":{"cited_paper":"/paper/1405.0301","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:c628baf5cf008fdd4c45b415afb36e4b79381d8dc963bc26f8ef2e18e2fa1d29","observation_id":"3411aa5b-035f-4734-8224-bcde0dd03e25","resolution":{"observed_at":"2026-08-06T13:08:13.506141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1108.2041","last_updated":"2012-07-31T23:18:37Z","snapshot_observed_at":"2026-08-02T20:21:54.384961Z","submitted_at":"2011-08-09T20:27:52Z","title":"ALOHA: Automatic Libraries Of Helicity Amplitudes for Feynman diagram computations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1108.2041","snapshot_observed_at":"2026-08-06T13:08:13.653537Z","title":"de Aquino, W","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.653537Z"},"links":{"cited_paper":"/paper/1108.2041","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:48efd429b2bd4264e29502726b2436c5bc9d8840bed1a9a833309172e3837948","observation_id":"ad17d9f6-3735-4a8e-86d3-847def2c6ecf","resolution":{"observed_at":"2026-08-06T13:08:13.653537Z","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":"event/1072141","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:08:15.114662Z","title":"CPU models from job monitoring","venue":null,"work_id":"eeb396dd-35f6-4fd6-a305-60ec494933c0","year":2022},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.775573Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:39ecc125e38811c2f801093ec2424b03b6ca39ccd26431e0d7eb0d26906193c0","observation_id":"09d3a3c1-a517-4b4d-bf20-27ce21302eb0","resolution":{"observed_at":"2026-08-06T13:08:15.120771Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"hep-ph/0208156","last_updated":"2002-08-15T20:33:43Z","snapshot_observed_at":"2026-07-07T03:57:03.270436Z","submitted_at":"2002-08-15T20:33:43Z","title":"MadEvent: Automatic Event Generation with MadGraph","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"hep-ph/0208156","snapshot_observed_at":"2026-08-06T13:08:13.881889Z","title":"Maltoni and T","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.881889Z"},"links":{"cited_paper":"/paper/hep-ph/0208156","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:2d1eefc84f027e7923582003ef2c260a18b9a254e9080d55bb10723c9334b05d","observation_id":"3ca11366-4e1b-413a-80c0-c009da011da7","resolution":{"observed_at":"2026-08-06T13:08:13.881889Z","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":"2026-08-06T13:08:15.828758Z","title":"Kleiss, W","venue":null,"work_id":"e30ee5af-abcd-4b79-bcfc-098863d56848","year":1986},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:13.987088Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:a3dffa9611a725d7f6aa71de400eb39548499d715278cd96ccebba5d86a96352","observation_id":"42dd6e2d-3215-4095-ab88-5848ef78ddc7","resolution":{"observed_at":"2026-08-06T13:08:15.831973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.820340Z","title":"Eberhart, J","venue":null,"work_id":"2f1942b4-f55c-4f8e-9854-dfc3bfb89ebd","year":2015},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.077213Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:2eb92b725e897a90504c75048330115775d71298c61349d9c7fdf7c068777463","observation_id":"2702845f-804f-4608-a2b8-c5672beb4b9d","resolution":{"observed_at":"2026-08-06T13:08:15.823023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.811669Z","title":"Jézéquel, J.-L","venue":null,"work_id":"a0915c44-bf50-4a21-9889-a40becf5a780","year":2015},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.163148Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:8b684aa7842be8e0a90a29a786614b7ca2f04bfa91709b006024247363b87a5e","observation_id":"85c674ab-b98d-4c25-8262-428b98b3ea5d","resolution":{"observed_at":"2026-08-06T13:08:15.814601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.802297Z","title":"OpenMP Application Programming Interface Version 6.0","venue":null,"work_id":"9607922b-0c12-4f28-a1bf-d4dddc3eac2a","year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.249513Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:b09cb89690af3aacc6484e6c463f003e0c4c4205c1f5f44608ecdfa440060f9b","observation_id":"653bda92-959f-4ac1-9e98-969bb7dab871","resolution":{"observed_at":"2026-08-06T13:08:15.805856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.792439Z","title":"Intel® 64 and IA-32 Architectures Optimization Reference Manual: Volume 1","venue":null,"work_id":"c0ff782c-3969-429c-a837-cd1c77aa5618","year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.364567Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:46487edcba5056a64bbd39b8c1651b428273e917ae7eedaa2af4bf6c00780a3b","observation_id":"dc5b30c0-e858-49b6-ac9a-89e5b9ebf9a4","resolution":{"observed_at":"2026-08-06T13:08:15.796054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.782900Z","title":"Nethercote and J","venue":null,"work_id":"f80015d2-a78f-4f33-8e9d-1bf8b770f709","year":2007},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.451058Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:642bcbf83bd78e793f48eecbb8a943184483d53aed685ee806bc84951ccf64f4","observation_id":"ccd03eed-97c7-436c-93a9-5cf3007e2f31","resolution":{"observed_at":"2026-08-06T13:08:15.786203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.772788Z","title":"Weidendorfer, M","venue":null,"work_id":"18edda41-0092-4f12-92d3-e4cae7d0061e","year":2004},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.535514Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:59f110cab7fc971d7bab73236f36ddc9420b47a698718b66973ba105a07d3af2","observation_id":"3e72de54-b726-4222-b9d0-31f6ceb18760","resolution":{"observed_at":"2026-08-06T13:08:15.776022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.763170Z","title":"perf: Linux profiling with performance counters","venue":null,"work_id":"131702f2-3b3f-42c4-8c26-8be1e07c4455","year":2009},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.626031Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:968e3801d382ec13ad13cafdaa19734f4ca948961ff6f2d87c9c16f71fc8c33b","observation_id":"60319cbb-af46-43cc-8692-934876d951b6","resolution":{"observed_at":"2026-08-06T13:08:15.766660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20947","last_updated":"2025-02-28T11:00:47Z","snapshot_observed_at":"2026-07-06T20:44:18.077927Z","submitted_at":"2025-02-28T11:00:47Z","title":"Enhancing software-hardware co-design for HEP by low-overhead profiling of single- and multi-threaded programs on diverse architectures with Adaptyst","version":1},"cited_work":{"arxiv_id":"2502.20947","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.20947","snapshot_observed_at":"2026-08-06T13:08:15.007380Z","title":"Enhancing software-hardware co-design for HEP by low-overhead profiling of single- and multi-threaded programs on diverse architectures with Adaptyst","venue":"cs.PF","work_id":"a7b19002-458d-4095-9f59-8591149a2a95","year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.704488Z"},"links":{"cited_paper":"/paper/2502.20947","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:bd03c8df297d39cb5583200c0ef976c786f29612ae5ccbc680393f855defc8a9","observation_id":"c318a737-fe3e-4fdc-8cc0-c5219314b08e","resolution":{"observed_at":"2026-08-06T13:08:15.011216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.752819Z","title":"Flame Graphs — brendangregg.com","venue":null,"work_id":"f3263181-d456-42b0-b72c-a7bcdc45e136","year":2011},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.816367Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:8cb2271be810c2e7df29179b39f96ab15c05754333bfc95e80967ee2eee28d7a","observation_id":"0ec63158-7875-4c2b-ae9e-d8855045caba","resolution":{"observed_at":"2026-08-06T13:08:15.756040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.741830Z","title":"CUDACPP Wiki","venue":null,"work_id":"6b941923-bb89-4741-8204-802310798739","year":2020},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.820604Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:f08c5f3015ded79152bd71932826364aec0beeaf5ce8232848e35fe936af4a32","observation_id":"0b76b13f-8b2e-4fa6-b102-60c64f3fb83c","resolution":{"observed_at":"2026-08-06T13:08:15.745218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.06635","last_updated":"2020-09-14T18:00:00Z","snapshot_observed_at":"2026-07-06T09:55:31.575678Z","submitted_at":"2020-09-14T18:00:00Z","title":"PDFFlow: parton distribution functions on GPU","version":1},"cited_work":{"arxiv_id":"2009.06635","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.06635","snapshot_observed_at":"2026-08-06T13:08:14.989583Z","title":"PDFFlow: parton distribution functions on GPU","venue":"hep-ph","work_id":"22a5c84a-9964-489b-9a35-3de5aeed90a2","year":2020},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.824165Z"},"links":{"cited_paper":"/paper/2009.06635","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:838794914665120ae57a63dd6f88625777cdad71becb7b2fb221ce93a5ec4afa","observation_id":"979bcdfd-9198-4193-9713-5021748e1afe","resolution":{"observed_at":"2026-08-06T13:08:14.993651Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.731420Z","title":"LHAPDF Kokkos version on GitLab","venue":null,"work_id":"ac70d3e7-91c2-4ca1-999b-cef6ab6b0eb9","year":null},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.827733Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:0d825b378addf7440c98ba5f5082a963309483b807056f8f822568825c602f08","observation_id":"44fca23e-55cf-4c82-985c-b58a85fc002d","resolution":{"observed_at":"2026-08-06T13:08:15.734595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.05478","last_updated":"2020-03-26T09:48:17Z","snapshot_observed_at":"2026-07-06T08:50:45.600377Z","submitted_at":"2020-01-15T18:47:27Z","title":"Exploring phase space with Neural Importance Sampling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.05478","snapshot_observed_at":"2026-08-06T13:08:14.834888Z","title":"Bothmann, T","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.834888Z"},"links":{"cited_paper":"/paper/2001.05478","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:64d3dd2ed6d516089089fc3a8baacab45e8749cbda0bfc7e31aa01e290498aec","observation_id":"fac0ce1e-cddf-40ec-8e21-4c8cfaf7da1f","resolution":{"observed_at":"2026-08-06T13:08:14.834888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06172","last_updated":"2023-09-05T08:10:28Z","snapshot_observed_at":"2026-08-06T09:15:25.975755Z","submitted_at":"2022-12-12T19:00:05Z","title":"MadNIS -- Neural Multi-Channel Importance Sampling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06172","snapshot_observed_at":"2026-08-06T13:08:14.838274Z","title":"Heimel, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.838274Z"},"links":{"cited_paper":"/paper/2212.06172","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:fc78fa080201396e24e37d72f71ca944d1979acf0670b843a64094755c007c0c","observation_id":"acc43d76-5d43-4fd2-9322-5cac58c3d4d4","resolution":{"observed_at":"2026-08-06T13:08:14.838274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01548","last_updated":"2024-05-31T14:01:59Z","snapshot_observed_at":"2026-07-06T16:42:23.937334Z","submitted_at":"2023-11-02T19:00:01Z","title":"The MadNIS Reloaded","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01548","snapshot_observed_at":"2026-08-06T13:08:14.841666Z","title":"Heimel, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.841666Z"},"links":{"cited_paper":"/paper/2311.01548","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:37618e9c798e06199682ca42a68967790e6ef5262552e3836391e78108025a9a","observation_id":"b364e1d0-5a09-441c-aa20-5d4dcd66e589","resolution":{"observed_at":"2026-08-06T13:08:14.841666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01486","last_updated":"2024-11-19T18:53:06Z","snapshot_observed_at":"2026-08-03T15:53:45.890003Z","submitted_at":"2024-08-02T18:00:00Z","title":"Differentiable MadNIS-Lite","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01486","snapshot_observed_at":"2026-08-06T13:08:14.845094Z","title":"Heimel, O","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.845094Z"},"links":{"cited_paper":"/paper/2408.01486","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:71eaab782faf32111296d5a9bf77bac61c35fa24479ee3b31dfb84b9f612a375","observation_id":"fb2901d4-43e3-47ed-8532-40bcc7eb458a","resolution":{"observed_at":"2026-08-06T13:08:14.845094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18987","last_updated":"2025-06-23T18:00:06Z","snapshot_observed_at":"2026-08-06T23:12:08.398245Z","submitted_at":"2025-06-23T18:00:06Z","title":"Efficient many-jet event generation with Flow Matching","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.18987","snapshot_observed_at":"2026-08-06T13:08:14.848591Z","title":"Efficient many-jet event generation with flow matching","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.848591Z"},"links":{"cited_paper":"/paper/2506.18987","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:e39e9163763a4cf4d712425de31fd8e50401ae123453b156cfaba3712208b155","observation_id":"f641d3bf-51ba-4200-ba8b-7caa4b3ab747","resolution":{"observed_at":"2026-08-06T13:08:14.848591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07440","last_updated":"2023-12-12T17:10:07Z","snapshot_observed_at":"2026-07-06T17:00:33.386675Z","submitted_at":"2023-12-12T17:10:07Z","title":"Acceleration beyond lowest order event generation: An outlook on further parallelism within MadGraph5_aMC@NLO","version":1},"cited_work":{"arxiv_id":"2312.07440","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.07440","snapshot_observed_at":"2026-08-06T13:08:14.907520Z","title":"Acceleration beyond lowest order event generation: An outlook on further parallelism within MadGraph5_aMC@NLO","venue":"physics.comp-ph","work_id":"136e34dd-d4eb-45c1-ab71-d68e492bd5a1","year":2023},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.852131Z"},"links":{"cited_paper":"/paper/2312.07440","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:a3a35ffa547a27ec77d6f531ba661feb90f728e44e78a62ec9aa8fe346aa5b73","observation_id":"e18b3aab-3f8d-4cee-9d0d-8c7bdb2c2d64","resolution":{"observed_at":"2026-08-06T13:08:14.913498Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07439","last_updated":"2025-03-10T15:22:02Z","snapshot_observed_at":"2026-07-06T20:50:00.422560Z","submitted_at":"2025-03-10T15:22:02Z","title":"Hardware acceleration for next-to-leading order event generation within MadGraph5_aMC@NLO","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07439","snapshot_observed_at":"2026-08-06T13:08:14.855631Z","title":"Hardware acceleration for next-to-leading order event generation within MadGraph5_aMC@NLO","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.855631Z"},"links":{"cited_paper":"/paper/2503.07439","citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:d545b3f3782568c4e1607ca43eca20d3d1b48e078b151f18e12b43bf7debd687","observation_id":"14f9993e-645a-4d4f-bce7-6d96401295df","resolution":{"observed_at":"2026-08-06T13:08:14.855631Z","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":"2026-08-06T13:08:15.710906Z","title":"Welcome to the MadGraph5_aMC@NLO Wiki","venue":null,"work_id":"7184d606-fc7b-4395-abc1-fe456bf7caeb","year":2009},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.859187Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:a6a75ea4d5aa622f10827af05f6eb1ef5df578e71ca883465a1fe4a2503f2fda","observation_id":"2699edf7-ba6e-4d93-9a7a-8df7c61fd91e","resolution":{"observed_at":"2026-08-06T13:08:15.713944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.701278Z","title":"MadGraph5_aMC@NLO in Launchpad","venue":null,"work_id":"76593ed0-e79b-4e66-9a92-57e8ede04c43","year":2009},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.862234Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:267a2b3cbc4d6566df070356453b7ab14aa5e4a5754f304a745c9e9ec2fe75ea","observation_id":"6ef2ad3e-3763-4a3f-b6ff-9b87b548cc2a","resolution":{"observed_at":"2026-08-06T13:08:15.704258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T13:08:15.720297Z","title":null,"venue":null,"work_id":"7c6761db-ef5c-4e90-ae15-2543488f8fa6","year":null},"citing_paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T13:08:14.831289Z"},"links":{"citing_paper":"/paper/2507.21039"},"observation_digest":"sha256:69ec2cc2e3936f3d93ae9c29d1541829713b3d8024a4bc624630f16b923ca019","observation_id":"111d1f3a-9ed0-4d34-8f99-ab60e23484ab","resolution":{"observed_at":"2026-08-06T13:08:15.723998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.21039","last_updated":"2025-07-31T17:59:00Z","latest_version":2,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-06T13:07:54.809792Z","submitted_at":"2025-07-28T17:56:31Z","title":"Data-parallel leading-order event generation in MadGraph5_aMC@NLO"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":14,"verified_fuzzy":14},"total_outbound_references":59},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 6 inbound Pith citation observations for arXiv:2507.21039."}