{"as_of":"2026-08-07T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff527802a7e6384c6031b84c0da12c3bdaeb7b3d1a5d649711a9a712a8d818bf","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:44:22.336726Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2508.09938/citation-record","integrity":"/paper/2508.09938/integrity","json":"/paper/2508.09938/citation-record.json","paper":"/paper/2508.09938"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.08320","last_updated":"2021-01-20T21:03:06Z","snapshot_observed_at":"2026-07-06T10:34:09.630357Z","submitted_at":"2021-01-20T21:03:06Z","title":"The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.08320","snapshot_observed_at":"2026-08-05T20:44:18.026472Z","title":"The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.026472Z"},"links":{"cited_paper":"/paper/2101.08320","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:2fb8fb6350155d488669936b75163a4299c2307aac3f6fda075adf94b8390481","observation_id":"78119a80-6427-4560-be99-e1b6e7afa725","resolution":{"observed_at":"2026-08-05T20:44:18.026472Z","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":"2026-08-05T20:44:27.796714Z","title":"Icecube - neutrinos in deep ice","venue":null,"work_id":"abf7d139-8664-44f8-a787-e957114b9a5f","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.083875Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:5f1946a6232f1ae5732d787540b7ea8e789e52a5e6cd423ecbcb58832804413a","observation_id":"259af5f5-9a8d-40a2-9350-94e419943922","resolution":{"observed_at":"2026-08-05T20:44:27.905239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:18.170240Z","title":"CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.170240Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:a12552dff35fba410c5af3e4b844cf4a8b5b6430dc57b001873d36d2ea1bd874","observation_id":"09c1d657-83aa-424d-8f52-133d0ac1aec9","resolution":{"observed_at":"2026-08-05T20:44:18.170240Z","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":"2026-08-05T20:44:18.224099Z","title":"F AIR Universe HiggsML Uncertainty Challenge Competition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.224099Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:41a062b6c8ac5be417100efd67924df2e7127ee5a52ddd2b35af6303b785eb33","observation_id":"f062acc5-26df-4c6e-86ba-ba1ce475fbb6","resolution":{"observed_at":"2026-08-05T20:44:18.224099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14027","last_updated":"2021-12-09T18:33:46Z","snapshot_observed_at":"2026-07-06T11:13:48.672772Z","submitted_at":"2021-05-28T18:00:02Z","title":"The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14027","snapshot_observed_at":"2026-08-05T20:44:18.312495Z","title":"The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.312495Z"},"links":{"cited_paper":"/paper/2105.14027","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:b6c2b24789f56f2e69fea802134e7855718632bd929f5e72fd3ea84e4cda09c7","observation_id":"9a1f7f74-b929-4e30-ab0a-23646ac42234","resolution":{"observed_at":"2026-08-05T20:44:18.312495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1212.1701","last_updated":"2014-11-30T20:21:47Z","snapshot_observed_at":"2026-07-06T03:01:31.677642Z","submitted_at":"2012-12-07T20:20:25Z","title":"Electron Ion Collider: The Next QCD Frontier - Understanding the glue that binds us all","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.1701","snapshot_observed_at":"2026-08-05T20:44:18.394904Z","title":"Electron Ion Collider: The Next QCD Frontier: Understanding the glue that binds us all","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.394904Z"},"links":{"cited_paper":"/paper/1212.1701","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:e1b3e18a60858fa1c2d75757fd1408a921543a4d9787e8e371c79a4b79c29374","observation_id":"6ca97941-843d-43e7-bcd3-90edf777b28f","resolution":{"observed_at":"2026-08-05T20:44:18.394904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13199","last_updated":"2022-10-17T19:03:58Z","snapshot_observed_at":"2026-07-06T12:52:05.424523Z","submitted_at":"2022-03-24T17:07:00Z","title":"Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13199","snapshot_observed_at":"2026-08-05T20:44:18.489312Z","title":"Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.489312Z"},"links":{"cited_paper":"/paper/2203.13199","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:f8315653c6becac3ed073340607a4ec3841df86864e352e7b837ceb194d20b93","observation_id":"fd3b0633-f37f-4f1e-b79f-baeae2843c33","resolution":{"observed_at":"2026-08-05T20:44:18.489312Z","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":"2026-08-05T20:44:18.560571Z","title":"Artificial Intelligence for the Electron Ion Collider (AI4EIC)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.560571Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:8a999cd9680498ffb0df084248c48abef5462c33810937a7cb5d15ceab77e30c","observation_id":"1a27dedd-414f-490c-bedd-e5ebd2f410d7","resolution":{"observed_at":"2026-08-05T20:44:18.560571Z","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":"2026-08-05T20:44:27.618267Z","title":"Hgs-hire power week - an epic competition","venue":null,"work_id":"12eace8d-63fd-4b54-918a-05aa4fc6c329","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.653853Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:23b8427aeea7af5dc92648758424d820049ded06919fe90554177f8256da3427","observation_id":"6e457ea0-28ba-4f38-831a-1d64a9953955","resolution":{"observed_at":"2026-08-05T20:44:27.705878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:27.464140Z","title":"Scikit-learn: Machine Learning in Python","venue":null,"work_id":"93077f4d-84e4-4d10-9d69-8f5a4b7b01fe","year":2011},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.740783Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:5cb2a56fc113a1e7ee439d25382f27c541768f07777a68fd34053ffcabe361fc","observation_id":"90ef4d67-06ad-4a8c-a201-4c35689891f5","resolution":{"observed_at":"2026-08-05T20:44:27.536864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.04965","last_updated":"2017-10-09T17:28:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-15T17:02:16Z","title":"Particle-flow reconstruction and global event description with the CMS detector","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.04965","snapshot_observed_at":"2026-08-05T20:44:18.810892Z","title":"Particle-flow reconstruction and global event description with the CMS detector","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.810892Z"},"links":{"cited_paper":"/paper/1706.04965","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:2f7f9764b553afdde1ad474a88e29c4a55e96c3306f3cff7525d31b37712cce8","observation_id":"b6537c47-646c-4990-8c7a-b6c328b8533f","resolution":{"observed_at":"2026-08-05T20:44:18.810892Z","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":"2026-08-05T20:44:27.293473Z","title":"Fuzzy V-measure - an evaluation method for cluster analyses of ambiguous data","venue":null,"work_id":"eca3d3a3-e8e5-483c-a810-6c2683e7a3ad","year":2014},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.876242Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:4373173c06996d0fb68af7db04ce6740557e35f5ee09297bc3e69b859da4618f","observation_id":"eac1baa8-b99b-4d39-8e05-678e4d1dbb59","resolution":{"observed_at":"2026-08-05T20:44:27.368796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:27.039075Z","title":"V-measure: A conditional entropy-based external cluster evaluation measure","venue":null,"work_id":"ce4ea307-8d81-46c4-9850-9ad3e53b7250","year":2007},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:18.935339Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:a3aa75f8d86324d8084e162f3d6bd4c779acf2ae241c09116064abe7ab1cc4bb","observation_id":"67149820-474a-41f7-b1d5-1772de52a27d","resolution":{"observed_at":"2026-08-05T20:44:27.183861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:19.020806Z","title":"The CMS Experiment at the CERN LHC","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.020806Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:25ce5a913523684a19712c9e04b3f8fc2a7a9c3018a02cb45004f37f226d3888","observation_id":"1a77bde5-ae8f-485a-9975-083cfba67b88","resolution":{"observed_at":"2026-08-05T20:44:19.020806Z","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":"2026-08-05T20:44:19.106885Z","title":"The ATLAS experiment at the CERN Large Hadron Collider","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.106885Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:f9962ca393a03674ea1dada009d2a2192c6353b580c241bb5d769cad62304289","observation_id":"4159a7b0-6f4a-44b2-aacc-2e36e7d82bfe","resolution":{"observed_at":"2026-08-05T20:44:19.106885Z","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":"2026-08-05T20:44:19.179908Z","title":"Particle-flow reconstruction and global event description with the CMS detector","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.179908Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:f2eac28319eb8e7274a03f6ebe20037b5d50e0593adc89ae1ded331ad3a3ff1f","observation_id":"cbb8cc5f-4d35-4b53-b064-e0701a5a2a9b","resolution":{"observed_at":"2026-08-05T20:44:19.179908Z","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":"2026-08-05T20:44:19.246630Z","title":"Jet reconstruction and performance using particle flow with the ATLAS detector","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.246630Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:252a731a23f0077c7bb93126deefbe37ca671841aada59b12a96ee398bf7d458","observation_id":"32762957-6629-49f3-b09d-bd63134f445b","resolution":{"observed_at":"2026-08-05T20:44:19.246630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.02934","last_updated":"2017-08-23T08:33:59Z","snapshot_observed_at":"2026-07-06T04:48:54.891703Z","submitted_at":"2016-03-09T16:02:18Z","title":"Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.02934","snapshot_observed_at":"2026-08-05T20:44:19.314389Z","title":"Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.314389Z"},"links":{"cited_paper":"/paper/1603.02934","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:47fbd3fd5e54b0aa64430a0ab298d26342d8e66d8a5f792cb7ea9d3714f8ac6f","observation_id":"1d344bc3-3671-4d47-ac0b-154839808579","resolution":{"observed_at":"2026-08-05T20:44:19.314389Z","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":"2026-08-05T20:44:26.788735Z","title":"Calorimeter Clustering Algorithms: Description and Performance","venue":null,"work_id":"51f3a641-9fd9-40ef-9d78-56b7dd183440","year":2008},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.380043Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:7e7cda3c3c06803b2adf89d24485852f9e6372f92c2a28c7e31d6f165391539f","observation_id":"7efeafe0-d060-4199-ab4a-cfe844b5f042","resolution":{"observed_at":"2026-08-05T20:44:26.922981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1742-6596/2438/1/012096","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:44:23.419263Z","title":"The Iterative Clustering framework for the CMS HGCAL Reconstruction","venue":null,"work_id":"0c999647-ef7d-433c-8650-04eb8750ab22","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.438243Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:6117f4dcd291c5ab7dc8440ccde5b37907dad605470311fd0b6e3ca3a042ad5c","observation_id":"eff3627b-b2c5-4a53-8888-7a4d19553809","resolution":{"observed_at":"2026-08-05T20:44:23.485529Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.04216","last_updated":"2023-09-29T16:03:28Z","snapshot_observed_at":"2026-08-06T08:18:16.443168Z","submitted_at":"2022-09-09T10:03:27Z","title":"Performance of the ALICE Electromagnetic Calorimeter","version":2},"cited_work":{"arxiv_id":"2209.04216","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.04216","snapshot_observed_at":"2026-08-05T20:44:24.487756Z","title":"Performance of the ALICE Electromagnetic Calorimeter","venue":"physics.ins-det","work_id":"5c865ad1-5cb6-4c48-8978-91ed58802cff","year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.503037Z"},"links":{"cited_paper":"/paper/2209.04216","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:386431360af88e3e3065b23be6066c717d086dc15a4c14cf119a51188aa8f0b5","observation_id":"edf933dc-76c8-4efb-a91a-a77cecd0187f","resolution":{"observed_at":"2026-08-05T20:44:24.651692Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11061","last_updated":"2022-12-21T15:08:59Z","snapshot_observed_at":"2026-07-06T14:33:32.181343Z","submitted_at":"2022-12-21T15:08:59Z","title":"Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb","version":1},"cited_work":{"arxiv_id":"2212.11061","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.11061","snapshot_observed_at":"2026-08-05T20:44:24.202386Z","title":"Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb","venue":"hep-ex","work_id":"f814534e-c2f1-4a8a-bf3e-08d144244935","year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.567508Z"},"links":{"cited_paper":"/paper/2212.11061","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:6da0da680dd4a0e0a84174a78c015734f8f780b247e22a3559aeca8e9ebd03b4","observation_id":"4e9529f4-1082-4f71-bf43-bc1e10916981","resolution":{"observed_at":"2026-08-05T20:44:24.308682Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:19.663861Z","title":"The Phase-2 Upgrade of the CMS Endcap Calorimeter","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.663861Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:ee46aa88dce6be491000cd0fd876f9f845da7bdcc06b6581d0de8bd6eaca1f2b","observation_id":"0f18df72-2f55-4bc1-9d5d-90b6d43aa6fa","resolution":{"observed_at":"2026-08-05T20:44:19.663861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1140/epjc/s10052-020-08461-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:44:23.200104Z","title":"Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data","venue":null,"work_id":"48b7ff75-6d19-4067-a657-13cac8deb6fd","year":2020},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.747471Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:fb58273253f4cc8b3def83864148c3974c79dedc9655238f86f0ef29f6cd40a8","observation_id":"7bb3c189-af0c-45a7-ba21-30977b13143b","resolution":{"observed_at":"2026-08-05T20:44:23.324554Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1742-6596/2438/1/012090","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:44:22.818967Z","title":"GNN-based end-to-end reconstruction in the CMS phase 2 high-granularity calorimeter","venue":null,"work_id":"b1243725-d1cc-450f-96cc-e275236983a0","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.838132Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:85930eb480f2ab0e093bf7b20eabae2169a0813d59fabe1364391859b637e590","observation_id":"3c4d6653-fba2-4455-a723-a3dd8c99c001","resolution":{"observed_at":"2026-08-05T20:44:23.041229Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:26.648467Z","title":"ePIC Clustering 2023","venue":null,"work_id":"acbaf626-3f28-454d-9511-4ae4cb06b064","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:19.970660Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:b47a200ad681444d6f2e74697c11908311230246435a3f550fcef8b58a42a18b","observation_id":"96cd9b6c-78cb-4061-be31-cbf9dbe232a1","resolution":{"observed_at":"2026-08-05T20:44:26.720071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-0221/18/01/p01038","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:44:22.547690Z","title":"Performance of the electromagnetic pixel calorimeter prototype epical-2","venue":null,"work_id":"35df33d0-056b-4da2-abee-d365057de0f3","year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.092179Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:2a27cbe12be9d786b423b992417f290ac13a4f647e8810761329fbe3327957cd","observation_id":"4a68b871-4d9d-418f-bbfc-7359f0d44ee4","resolution":{"observed_at":"2026-08-05T20:44:22.671713Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0802.1189","last_updated":"2008-04-21T21:44:17Z","snapshot_observed_at":"2026-07-06T01:34:46.001237Z","submitted_at":"2008-02-08T18:17:17Z","title":"The anti-k_t jet clustering algorithm","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0802.1189","snapshot_observed_at":"2026-08-05T20:44:20.181612Z","title":"The anti- kt jet clustering algorithm","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.181612Z"},"links":{"cited_paper":"/paper/0802.1189","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:d4c1b2235ad2622b0adef3b2a20bb97cf7095c5c2749bde8bd4c1e0271f1eafa","observation_id":"8823415e-7781-496c-874b-431361ee3c85","resolution":{"observed_at":"2026-08-05T20:44:20.181612Z","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":"2026-08-05T20:44:20.278065Z","title":"FastJet user manual","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.278065Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:84a49bd5d5157af9cf94b7b8de5e90ff332d7b4208c162d0aee037f34521e7ac","observation_id":"41d8fae3-410f-42bd-93a6-ed1b708411a3","resolution":{"observed_at":"2026-08-05T20:44:20.278065Z","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":"2026-08-05T20:44:26.471146Z","title":"Applied Predictive Modeling","venue":null,"work_id":"d473bb84-862c-42b9-83e6-2fc2e0092e96","year":2013},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.364038Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:7b38f8fb0ccba84e9983536aefeeb32ece35c48cbb363cf7a198c94947de485a","observation_id":"a6b46623-2bb7-4ca0-ba73-8767b11590b1","resolution":{"observed_at":"2026-08-05T20:44:26.547886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:26.302127Z","title":"Deep Learning","venue":null,"work_id":"d27aaad8-f2d2-4c63-a576-486f119972af","year":2016},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.457045Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:6637355c8ed8c388f58def42f50da17afddae93d0dd23a913bad31cd213e59ee","observation_id":"ca2afaa0-baed-4fdb-a6b8-7bfdc60b8c0d","resolution":{"observed_at":"2026-08-05T20:44:26.403289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:26.121508Z","title":"A density-based algorithm for discovering clusters in large spatial databases with noise","venue":null,"work_id":"3d215565-9505-4a44-a564-9357f40ee038","year":1996},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.575052Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:842881f540e977d608f0a5930d5b8e886febfd60bc66397d09fec612fdf119e7","observation_id":"b7d642b3-0512-4d04-a39f-261ceedef719","resolution":{"observed_at":"2026-08-05T20:44:26.223125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:25.983035Z","title":"Ensemble methods in machine learning","venue":null,"work_id":"7f297305-c4b0-4383-b375-64635e9f6b27","year":2000},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.693460Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:5369f074a523b4e2fc65a4c2ef0be4210563abc01fce285be6830f41b621ede5","observation_id":"309afa8b-6040-48d3-a84e-93c2fd7b8fa1","resolution":{"observed_at":"2026-08-05T20:44:26.057599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.33507","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:44:24.002763Z","title":"Inertia-based indices to determine the number of clusters in k-means: An experimental evaluation","venue":null,"work_id":"8b1e41d7-2c78-40d3-b1c8-d0b431f19731","year":2024},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.789543Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:da9d78644e2f82446009d123d03163db339c0f8f8e88446bc569504bb25b1db2","observation_id":"f11a9dd2-4867-4e36-94b3-d53ac15525ef","resolution":{"observed_at":"2026-08-05T20:44:24.060138Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.11603","last_updated":"2020-06-03T15:45:31Z","snapshot_observed_at":"2026-08-04T00:48:08.487425Z","submitted_at":"2020-03-25T20:01:08Z","title":"Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.11603","snapshot_observed_at":"2026-08-05T20:44:20.882695Z","title":"Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.882695Z"},"links":{"cited_paper":"/paper/2003.11603","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:9d9a9302589d64bfa187e7212d0d5da26b87485d8f8187d6bebf48541019bd5b","observation_id":"6ff5f103-da40-476a-b1c5-d296dd63aa05","resolution":{"observed_at":"2026-08-05T20:44:20.882695Z","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":"2026-08-05T20:44:25.778145Z","title":"ATLAS ITk Track Reconstruction with a GNN-based pipeline","venue":null,"work_id":"77ee8ea0-05a4-4d57-8170-0890355e9ec1","year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:20.973758Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:ef3a2297ea639c8471131bb24a4b551d1695a7fbb6e5ff2fb910035a130fa25a","observation_id":"e3b80a5d-b0cf-4eb3-8a81-4df047db1e39","resolution":{"observed_at":"2026-08-05T20:44:25.845255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:25.567524Z","title":"Graph Neural Network Jet Flavour Tagging with the ATLAS Detector","venue":null,"work_id":"d404e779-28ea-46a9-a6c4-7d4a9d776c2f","year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.051207Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:ef2e55869a26de5aa93c65b73226b971d95ea94764b79963cab3cd1ac62ecc93","observation_id":"4d9db447-667a-4e08-a991-b553d63e82b4","resolution":{"observed_at":"2026-08-05T20:44:25.667930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04415","last_updated":"2023-06-07T13:19:15Z","snapshot_observed_at":"2026-07-06T15:39:45.449997Z","submitted_at":"2023-06-07T13:19:15Z","title":"Flavour tagging with graph neural networks with the ATLAS detector","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04415","snapshot_observed_at":"2026-08-05T20:44:21.162112Z","title":"Flavour tagging with graph neural networks with the ATLAS detector","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.162112Z"},"links":{"cited_paper":"/paper/2306.04415","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:aabc44a78d97274cac1219af00f8cd5cb76edf13ace65d311a3433e058488bea","observation_id":"69d89cc9-dbcd-4c93-8c3a-22638f1c442e","resolution":{"observed_at":"2026-08-05T20:44:21.162112Z","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":"2026-08-05T20:44:21.279184Z","title":"Graph neural networks for low-energy event classification & reconstruction in IceCube","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.279184Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:bf16085b4001fefdff22cda6f455bfae49a41e7577a0fea441fc6237dd2032b1","observation_id":"07d093d2-6ea6-4e3d-807e-4ad95dbf76e4","resolution":{"observed_at":"2026-08-05T20:44:21.279184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.01189","last_updated":"2022-03-02T15:40:27Z","snapshot_observed_at":"2026-07-06T12:43:20.482704Z","submitted_at":"2022-03-02T15:40:27Z","title":"GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter","version":1},"cited_work":{"arxiv_id":"2203.01189","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.01189","snapshot_observed_at":"2026-08-05T20:44:23.635037Z","title":"GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter","venue":"physics.ins-det","work_id":"90718d98-eb93-42a8-b251-c80bdc8946a5","year":2022},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.393794Z"},"links":{"cited_paper":"/paper/2203.01189","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:4c7b8ef2bf0213b78ee0df3742121da1ac3633841150c97630c371048228a686","observation_id":"b5edb818-07e3-4caa-8158-7a76ed13cea2","resolution":{"observed_at":"2026-08-05T20:44:23.773718Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12852","last_updated":"2022-03-25T21:48:40Z","snapshot_observed_at":"2026-07-31T02:42:49.434512Z","submitted_at":"2022-03-23T04:36:04Z","title":"Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.12852","snapshot_observed_at":"2026-08-05T20:44:21.575911Z","title":"Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.575911Z"},"links":{"cited_paper":"/paper/2203.12852","citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:62212319cf8a3800f8e809fc37f26967ac43931a0ef2ce7cc51f0030e051f6c2","observation_id":"395ef2bb-3461-4769-8ebd-b7c0c590546d","resolution":{"observed_at":"2026-08-05T20:44:21.575911Z","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":"2026-08-05T20:44:21.722182Z","title":"Graph neural networks in particle physics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.722182Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:156a8e21bf4fcbe970fea92f0120acebb294e494a649db39a4040127f7c475b0","observation_id":"c4e859df-7612-4175-8a1d-ad0cdef6e9e2","resolution":{"observed_at":"2026-08-05T20:44:21.722182Z","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":"2026-08-05T20:44:25.320412Z","title":"An improved algorithm for finding the strongly connected components of a directed graph","venue":null,"work_id":"430ed0f0-f641-42a4-ad8a-83b491d35c1f","year":2005},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:21.915167Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:4e92a6c5556f16da6cdf54c05c660c4eb949dbd5a764ce71fcb5b9cfc8265023","observation_id":"3b8eaf5b-a98f-4caa-ba2d-369ad3d9e4dd","resolution":{"observed_at":"2026-08-05T20:44:25.434132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T20:44:22.147596Z","title":"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:22.147596Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:944aca0559eccffd81f0bb0939a5140d13e54a5b66c585635c53702071819d0d","observation_id":"612c4cc8-0076-4bcc-aa04-39713176f749","resolution":{"observed_at":"2026-08-05T20:44:22.147596Z","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":"2026-08-05T20:44:25.090982Z","title":"Information theoretic measures for clusterings comparison: Variants","venue":null,"work_id":"32cfc2fc-2277-4a75-a0e4-2474850b4bdb","year":2009},"citing_paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T20:44:22.336726Z"},"links":{"citing_paper":"/paper/2508.09938"},"observation_digest":"sha256:3362fc668a14a54fda29f148a543acc7193066f3ef7856150d1a19b170453681","observation_id":"47f4544a-3778-489e-a1af-b579a7988925","resolution":{"observed_at":"2026-08-05T20:44:25.228577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.09938","last_updated":"2025-08-13T16:43:47Z","latest_version":1,"primary_category":"nucl-ex","snapshot_observed_at":"2026-08-07T02:52:31.213246Z","submitted_at":"2025-08-13T16:43:47Z","title":"Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":22,"verified_exact":7,"verified_fuzzy":15},"total_outbound_references":45},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.09938."}