{"as_of":"2026-08-16T21:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b0a4048448326792de64ca8d5a96cb3a6c482540f49ff84711cd231e8041926","coverage":[{"denominator":72,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":72,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T21:53:55.004838Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T13:27:36.639781Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-03T13:27:36.639781Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.24254","last_updated":"2026-07-27T21:47:01Z","snapshot_observed_at":"2026-08-14T10:22:25.256754Z","submitted_at":"2025-12-30T14:28:14Z","title":"GPT-like transformer model for silicon tracking detector simulation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T13:27:36.639781Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2512.24254"},"observation_digest":"sha256:7b52edab29cfb9be9196bbe8998cd68ebc3759e80810e6f92a35ad3c624c7dc4","observation_id":"0d6aa6c9-bbb7-440e-b409-0626f76bbd2a","resolution":{"observed_at":"2026-08-03T13:27:36.639781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-03T12:08:19.003620Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05289","last_updated":"2026-05-25T09:30:07Z","snapshot_observed_at":"2026-08-15T10:56:57.035445Z","submitted_at":"2026-01-07T19:00:04Z","title":"A universal vision transformer for fast calorimeter simulations","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T12:08:19.003620Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2601.05289"},"observation_digest":"sha256:62cbf24b98e5befceba8760aa6d67f09f8387a93b5fd62183f8143759965196e","observation_id":"d27160d1-6767-47de-b295-50212713010f","resolution":{"observed_at":"2026-08-03T12:08:19.003620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":"2509.07700","doi":"10.48550/arxiv.2509.07700","metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Raikwar, A","venue":"ArXiv.org","work_id":"01d9a054-8eae-4598-b891-0f85d4dd9c7e","year":2025},"citing_paper":{"arxiv_id":"2601.07859","last_updated":"2026-03-27T13:34:30Z","snapshot_observed_at":"2026-08-14T15:24:45.039051Z","submitted_at":"2026-01-09T17:53:23Z","title":"Differentiable Surrogate for Detector Simulation and Design with Diffusion Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T15:23:44.741269Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2601.07859"},"observation_digest":"sha256:31d67fb4dfd1a217a7b3e3d776c17d824c11e36d0291fe36cee838125e886a18","observation_id":"8f0981b7-51d5-4d88-b6c0-61411831ac9d","resolution":{"observed_at":"2026-05-16T15:28:02.486422Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":"2509.07700","doi":"10.48550/arxiv.2509.07700","metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Raikwar, A","venue":"ArXiv.org","work_id":"01d9a054-8eae-4598-b891-0f85d4dd9c7e","year":2025},"citing_paper":{"arxiv_id":"2605.12011","last_updated":"2026-05-12T12:00:48Z","snapshot_observed_at":"2026-08-15T14:50:42.092477Z","submitted_at":"2026-05-12T12:00:48Z","title":"CaloArt: Large-Patch x-Prediction Diffusion Transformers for High-Granularity Calorimeter Shower Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T04:40:25.725622Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2605.12011"},"observation_digest":"sha256:7723493b0df32f160bf5436166b353e2b96f9aa751f226a5e79ebe60ab3e8943","observation_id":"172ac145-a416-4a15-ba13-bafc6a2c34f4","resolution":{"observed_at":"2026-05-13T04:42:15.876577Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":"2509.07700","doi":"10.48550/arxiv.2509.07700","metadata_source":"arxiv_reference","pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Raikwar, A","venue":"ArXiv.org","work_id":"01d9a054-8eae-4598-b891-0f85d4dd9c7e","year":2025},"citing_paper":{"arxiv_id":"2606.04165","last_updated":"2026-07-17T21:46:37Z","snapshot_observed_at":"2026-08-02T18:31:06.346857Z","submitted_at":"2026-06-02T19:27:19Z","title":"CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-28T07:41:38.548022Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2606.04165"},"observation_digest":"sha256:a4848e5732497ec2bf52dfd547d0bef0bece227699281ef1053a3f3644e5db27","observation_id":"d0b1786e-fd68-4c0a-b62a-620083ab6621","resolution":{"observed_at":"2026-06-28T07:41:44.753192Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-08-02T12:30:42.042114Z","title":"Raikwar, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.04165","last_updated":"2026-07-17T21:46:37Z","snapshot_observed_at":"2026-08-02T18:31:06.346857Z","submitted_at":"2026-06-02T19:27:19Z","title":"CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-02T12:30:42.042114Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2606.04165"},"observation_digest":"sha256:1f38f2e419946d0fdef7608228a4b7ade1ecfd98cf516a1b9f50490cb30381cd","observation_id":"e788fed5-da7d-481d-a98d-b482470dd808","resolution":{"observed_at":"2026-08-02T12:30:42.042114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.07700","snapshot_observed_at":"2026-07-31T02:22:20.518232Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25060","last_updated":"2026-07-27T20:42:39Z","snapshot_observed_at":"2026-08-16T03:20:50.481619Z","submitted_at":"2026-07-27T20:42:39Z","title":"Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-31T02:22:20.518232Z"},"links":{"cited_paper":"/paper/2509.07700","citing_paper":"/paper/2607.25060"},"observation_digest":"sha256:6e7b1e7e73e34e750e41f80e5ea8650a114c1ff11d2328557278d2e8e4299d85","observation_id":"5f2a1efa-87c0-4e3b-82eb-030ddc92ee2e","resolution":{"observed_at":"2026-07-31T02:22:20.518232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.07700/citation-record","integrity":"/paper/2509.07700/integrity","json":"/paper/2509.07700/citation-record.json","paper":"/paper/2509.07700"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T21:54:12.074629Z","title":"Geant4—a simulation toolkit","venue":null,"work_id":"1d9e1e5f-5ce0-41eb-9e6e-2d653361b634","year":2003},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:43.624839Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:4368e40de8778ea69024ce67f8aaa0a422a557dd3b50358af621c223e23d9a5d","observation_id":"c8917e92-c384-4120-82ef-2ccb92b2d45b","resolution":{"observed_at":"2026-08-04T21:54:12.107569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:12.022069Z","title":"Technical report, CERN, Geneva, 2022","venue":null,"work_id":"da3e289c-3181-491c-8608-e3bec39f26c8","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:43.799799Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:83d7b98329c09f8d0c8e2a247277c8d90bf9881f9773ffc1f9eda7dfedfb36b2","observation_id":"6e082fb1-47b9-4885-91bf-5903f0481574","resolution":{"observed_at":"2026-08-04T21:54:12.039596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:11.875174Z","title":"CMS Phase-2 Computing Model: Update Document","venue":null,"work_id":"34544595-b030-472e-afe8-3bd55ef8cb88","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:43.963226Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:a024fa08ea6c1a510ada6699f0bb4dd533cff2c6eb552e137b3d051d1a2c5ee9","observation_id":"1ebe7b90-e711-4d22-a5bb-14fb0b253f58","resolution":{"observed_at":"2026-08-04T21:54:11.970766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:11.567911Z","title":"Calogan: Simulating 3d high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks","venue":null,"work_id":"2d889759-0af2-41c0-b746-33b38e670a84","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.054820Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:e21447861156662bc5b4775b518286c07bf956cba7c8add4476497179295bbed","observation_id":"56185a3b-50fb-4c60-beb8-2ce01333951a","resolution":{"observed_at":"2026-08-04T21:54:11.716606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:11.256940Z","title":"Fast and Accurate Simulation of Particle Detectors Using Generative Adversarial Networks","venue":null,"work_id":"9d23fd93-7a26-4957-b014-a40285d1ac36","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.234756Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:1bccec4170730d8a16ef13af740e78542a95c9297483c495c79136cc5832bb5e","observation_id":"5df85540-3c01-4dbc-a608-966baa36c70f","resolution":{"observed_at":"2026-08-04T21:54:11.336858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:10.763283Z","title":"Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network","venue":null,"work_id":"528a35b9-56f8-46a9-9cde-c6af353e2b43","year":2019},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.344751Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:c5d00d906ff7f37d89b5ea0865b9dc3433a1f86a0fe3e26369c060a5922fbd21","observation_id":"4162b675-75f8-49f1-9e2d-764113cab12f","resolution":{"observed_at":"2026-08-04T21:54:10.901759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:10.383873Z","title":"Fast simulation of a high granularity calorimeter by generative adversarial networks","venue":null,"work_id":"2d5c5663-37f0-4ac5-9f81-a969d400f603","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.391899Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:355a8e1652c1a1c836cc6ca4133bdb92c7a189e1d214275b5343ae072887ab87","observation_id":"4e2f83d5-438f-4869-8d70-82c6c301af61","resolution":{"observed_at":"2026-08-04T21:54:10.568672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:10.075740Z","title":null,"venue":null,"work_id":"335ac367-b3e1-4cd3-9b4d-fea895726745","year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.504835Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:5d1eb293d2edf5d01fad02de0d798112a660133610ea8703a9f82300e0a9f9ca","observation_id":"09f2336f-de26-4246-9d24-eac64063e56a","resolution":{"observed_at":"2026-08-04T21:54:10.218061Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:09.745454Z","title":"Deep generative models for fast shower simulation in ATLAS","venue":null,"work_id":"c4e937b2-4e10-461b-ba24-8ceeb371fcf4","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.549359Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:c80870c49c89cde06574f7d45dc5c6324297123e47dd7902e151d7d41913cd9d","observation_id":"ff54110d-1db6-4186-bb9d-fd5988979aea","resolution":{"observed_at":"2026-08-04T21:54:09.855847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:09.517808Z","title":"Buhmann, S","venue":null,"work_id":"37811368-f6e4-4884-8167-ce1e9348d4f0","year":2021},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.644753Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2540a4209624933a076970d9ebf53b9ef8ea424c582ded73a12ab5c7927ea0b6","observation_id":"bc9c37ca-8069-444f-8799-34bbe1b1ace2","resolution":{"observed_at":"2026-08-04T21:54:09.607419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:09.191375Z","title":"Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Hum- berto Reyes-Gonzalez, Marco Letizia, and Anthony L","venue":null,"work_id":"103239a7-8ebc-4018-ab16-be0358d07526","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.734846Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:dfcbb5b94e955fc6cb2e6f37d4d000b049e0fc82d6acedc30a59236b5672d9f3","observation_id":"6ed4844c-37c1-4480-bef9-0be8bc2f7875","resolution":{"observed_at":"2026-08-04T21:54:09.315469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:08.955623Z","title":"New angles on fast calorimeter shower simulation.Mach","venue":null,"work_id":"d1c0c0d9-8cf3-42b4-88f5-274206acbc1d","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.837378Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2db4584547bd78ed15aa92ce2ad1b83e7fd970a19b7ced80c08d20f43b4350d6","observation_id":"ed01a85f-881e-4b48-ab93-e913ae1debf4","resolution":{"observed_at":"2026-08-04T21:54:09.031739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:08.700661Z","title":"Metahep: Meta learning for fast shower simulation of high energy physics experiments","venue":null,"work_id":"f018379b-3c5a-43e6-8258-eeacddb1f8ce","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:44.894939Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:756dd13b0c680ad8b6b093b44c0c5ff6f4a648730ecbb36b3abff0a30b9becc4","observation_id":"40c84e7d-b056-4236-a167-b33ebce680b9","resolution":{"observed_at":"2026-08-04T21:54:08.815197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:08.474562Z","title":"Transformers for generalized fast shower simulation","venue":null,"work_id":"615c0df2-0341-45a1-b480-26277cf57372","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.004974Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:e8afc778780cf3ac00836e06945e2c7d290261e108f082bde569bcd8e1bcc28c","observation_id":"f0912d3c-e661-4162-9269-a52dad5f5bcc","resolution":{"observed_at":"2026-08-04T21:54:08.596239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06605","last_updated":"2024-08-06T15:20:00Z","snapshot_observed_at":"2026-08-16T13:53:41.156120Z","submitted_at":"2024-05-10T17:12:48Z","title":"Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06605","snapshot_observed_at":"2026-08-04T21:53:45.144857Z","title":"Calo- vq: Vector-quantized two-stage generative model in calorimeter simulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.144857Z"},"links":{"cited_paper":"/paper/2405.06605","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2a3cd45004530971f5961a232c0854698864a32e94e34c11fe5c15bd7529e516","observation_id":"7c19b09d-15a2-4fcb-a6ef-eb94128f2388","resolution":{"observed_at":"2026-08-04T21:53:45.144857Z","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":"2026-08-04T21:54:08.126900Z","title":"Fast and accurate simulations of calorimeter showers with normalizing flows","venue":null,"work_id":"59c71ad5-dd37-4d47-8dd7-eb6c85043736","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.244905Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:4cad76e6e2594bd738aa622645cf31da0d497e8dd3b5c1f5ee91f5401a5c8680","observation_id":"c6488342-84b1-466b-8d8e-c5de108732c9","resolution":{"observed_at":"2026-08-04T21:54:08.257904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:07.845747Z","title":"Accelerating accurate simulations of calorimeter showers with normalizing flows and probability density distillation","venue":null,"work_id":"a9eeb645-c97d-4afd-bd65-6525a0eaa3cd","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.343528Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:c0daf9c0a6c346d64296a1100673f602a3d1e20d27e493197df9e9d4fd8f061b","observation_id":"1586b3e6-98f8-4606-b888-19d55b495213","resolution":{"observed_at":"2026-08-04T21:54:07.967234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:07.490128Z","title":"L2LFlows: generating high-fidelity 3D calorimeter images","venue":null,"work_id":"04c8c630-6b53-409b-b28f-d310062a52d7","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.424754Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:82544a3cb8bbba50c3a71518a71fa4b81f384da623ab90cf9e30039da6cef91e","observation_id":"5826e3be-e909-4bf9-b0ea-e17a70417aad","resolution":{"observed_at":"2026-08-04T21:54:07.657510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:07.193777Z","title":"Normalizing Flows for High-Dimensional Detector Simulations","venue":null,"work_id":"b3f01cd6-3dfb-41d3-8e87-528ba44aaf53","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.524754Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:a7baf52500d345c264abb7c0fa6bb92a1fc7f5e72aa4ab0e838220a076f48850","observation_id":"747331bc-11de-458e-b458-199c9d47596d","resolution":{"observed_at":"2026-08-04T21:54:07.336845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:06.838293Z","title":"Convolu- tional L2LFlows: generating accurate showers in highly granular calorimeters using convolu- tional normalizing flows","venue":null,"work_id":"3ee4bca3-af60-4c31-926c-5873506eb2ae","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.704839Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:40676735f45800f8148d5cd8b3e31e20f1d6bb1c1791f6b138f0b136e3bb7512","observation_id":"0bf015ae-5a51-4846-9464-ffa192042cc5","resolution":{"observed_at":"2026-08-04T21:54:06.953590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:06.612890Z","title":"Score-based generative models for calorimeter shower simulation","venue":null,"work_id":"b2fd4ec4-314e-413a-9a59-adba2abc5df8","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.818641Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:61f82e2a1ac0ff976efffe2f9523347796c48f3ed0c86ea8900f894a5562c324","observation_id":"9c6cfafd-d943-4d7a-9dee-b579b56a1168","resolution":{"observed_at":"2026-08-04T21:54:06.710037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:06.374097Z","title":"CaloClouds: fast geometry- independent highly-granular calorimeter simulation","venue":null,"work_id":"b15ca1ee-ffd1-432a-a280-03a5a439ad10","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:45.934758Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:e61565a2899c91bc0f529c8caeb2c9fabd03299e06fe4d15f1bafa3e11750d2c","observation_id":"1f21b553-288d-49df-b620-bab3041b6325","resolution":{"observed_at":"2026-08-04T21:54:06.489229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:06.101322Z","title":"Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation","venue":null,"work_id":"29a0994b-8350-46c2-9dfc-54a97c24a173","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.058391Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:ba67a03ed2f4fedfd3be76b45539efed153f62286c208639aa0ed9dd3176b9ec","observation_id":"90f54671-3599-4b23-a5f1-199648d428b7","resolution":{"observed_at":"2026-08-04T21:54:06.258894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:05.761865Z","title":"CaloScore v2: single-shot calorimeter shower simulation with diffusion models","venue":null,"work_id":"33b5badc-2ffe-447c-b4ea-a2692a43564a","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.125507Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:5796cc133321d040a658d7f3c13066f24de100827476d444b70a231c0d3f37ea","observation_id":"be2b391b-65a8-49a5-8e16-b2a9b16405e8","resolution":{"observed_at":"2026-08-04T21:54:05.915373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:05.495787Z","title":"CaloClouds II: ultra-fast geometry-independent highly-granular calorime- ter simulation","venue":null,"work_id":"faff83e2-a878-424a-9679-f9ca9cd0c1da","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.224757Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:f789f9e22e0ae0b3616067f1b63d8a9436caf0ad2c3b4e784069b5f42c4c0dd3","observation_id":"b2cc7042-d93d-4750-be54-ce4c03a6849b","resolution":{"observed_at":"2026-08-04T21:54:05.608735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:05.083116Z","title":"CaloDREAM – Detector Response Emulation via Attentive flow Matching","venue":null,"work_id":"208745c4-354b-4235-a6d2-945895aee1c5","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.364956Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:47a4bd38e65ad6bfcc2716c7c37f14146b5819b4ec71ebb617ed38feadda0eee","observation_id":"2fc20330-3be0-4cbb-afb3-332db76797e1","resolution":{"observed_at":"2026-08-04T21:54:05.268583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:04.898848Z","title":"CaloHadronic: a diffusion model for the generation of hadronic showers","venue":null,"work_id":"aef3da1e-030d-4eae-be53-f6ab40b9e450","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.494849Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2cd6cc50135422a22837e3907ce744e9dc3cf10f46e9d4688600c3f2e789afa0","observation_id":"a96b981c-102e-444b-9902-19b57bd0993c","resolution":{"observed_at":"2026-08-04T21:54:04.988958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:46.576541Z","title":"Calochallenge 2022: A community challenge for fast calorimeter simulation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.576541Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:9ca60d5ed687ebfa259bc343c51b96ebe229d21ab16b5ec82639bec3f628508c","observation_id":"0e18c550-edc5-40cd-9852-1b29fef3db43","resolution":{"observed_at":"2026-08-04T21:53:46.576541Z","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":"2026-08-04T21:54:04.575784Z","title":"AtlFast3: The Next Generation of Fast Simulation in ATLAS","venue":null,"work_id":"10c700b2-f1be-48d2-998f-46083402facd","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.704756Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:467970d791fd68d08abc3a1d39cd026c1d3614381cf4ede7d58cc62918860b63","observation_id":"7188a0b5-9e54-42e8-a803-8c392ce9147b","resolution":{"observed_at":"2026-08-04T21:54:04.680445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:04.378648Z","title":"Par04 example","venue":null,"work_id":"53e912b4-7736-48b5-b788-9b00805d355a","year":null},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.824770Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:e48d9def7ecede791d7d92916b785aa8e4a6d77c5c5527adbb47ced24b0cc90a","observation_id":"1318e3a5-8daf-49fa-9b14-6579bffc879f","resolution":{"observed_at":"2026-08-04T21:54:04.454600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:04.031871Z","title":"Benedikt et al","venue":null,"work_id":"d76a3e7c-6a97-4b17-ba2b-e0c887d37749","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:46.964762Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2d9d7c375f53f39146a09dab8783c708540233ce03f4b3971a4a60f4bd6f6803","observation_id":"4670340e-fc2c-4746-a0da-a309386ec453","resolution":{"observed_at":"2026-08-04T21:54:04.140739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:03.722974Z","title":"Deep generative models for fast shower simulation in atlas","venue":null,"work_id":"5ec970da-e330-4e71-8461-e3b0bd7eff7d","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:47.108053Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:0438c010c955b794b240b75e2d79add932855e4a5c2498e0f7c69683563caa4d","observation_id":"d5dfb226-a542-401d-8f8f-13b60b491c40","resolution":{"observed_at":"2026-08-04T21:54:03.883817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:03.368399Z","title":"Omnijet-α: the first cross-task foundation model for particle physics","venue":null,"work_id":"d969ae01-880a-4d87-8f3d-377debfe3371","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:47.544783Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:0beca30d826aad3c98e3bb362e9794c1f2e162c344d3119669a70922086022f0","observation_id":"2c0f4c20-bdfd-4ebf-9129-219ce237283d","resolution":{"observed_at":"2026-08-04T21:54:03.543523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:47.714756Z","title":"Improving language understanding by generative pre-training","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:47.714756Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:3e8fdd490af50919594133589a810467813e706e006a3deea6e815e56d812e13","observation_id":"cd3a6e7a-7f50-4673-a0f6-b5a53ebf7183","resolution":{"observed_at":"2026-08-04T21:53:47.714756Z","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":"2026-08-04T21:54:03.154735Z","title":"Robust training of vector quantized bottleneck models","venue":null,"work_id":"ab691ef9-5b6b-414d-ad08-70cc22e2f8db","year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:47.936000Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:e0a2bf5fa40a1cff1f76d38256a56ab89a43f7589ac0538c95dc438b2b6a4d26","observation_id":"4bf8bceb-d36b-44f7-bd4b-e17fa62c4ba7","resolution":{"observed_at":"2026-08-04T21:54:03.250620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05534","last_updated":"2025-06-11T15:49:41Z","snapshot_observed_at":"2026-08-16T12:59:25.918544Z","submitted_at":"2025-01-09T19:16:41Z","title":"OmniJet-${\\alpha}_C$: Learning point cloud calorimeter simulations using generative transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05534","snapshot_observed_at":"2026-08-04T21:53:48.144757Z","title":"Omnijet- αc: Learning point cloud calorimeter simulations using generative transformers","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.144757Z"},"links":{"cited_paper":"/paper/2501.05534","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:41cfc714e065c852c65e139022f9877ac840287f6d3eb76fff56c4bb4f28eae9","observation_id":"fe168150-8e72-412d-93f7-533654a00e1f","resolution":{"observed_at":"2026-08-04T21:53:48.144757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-04T21:53:48.245750Z","title":"On the opportunities and risks of foundation models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.245750Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:7a0ab8056b5a819e2f8520a2703d9e35891dd7771dc24651c044bf93dc75073d","observation_id":"3cdb7741-ff5d-4922-8a98-977835d28991","resolution":{"observed_at":"2026-08-04T21:53:48.245750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.06175","last_updated":"2022-11-11T10:04:29Z","snapshot_observed_at":"2026-08-14T09:46:32.787845Z","submitted_at":"2022-05-12T16:03:26Z","title":"A Generalist Agent","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.06175","snapshot_observed_at":"2026-08-04T21:53:48.365879Z","title":"A generalist agent","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.365879Z"},"links":{"cited_paper":"/paper/2205.06175","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2aa374097d6363e76ba815051ea46de677cab302a9ece3f23ec61d73e7d5626f","observation_id":"aeb6f599-33d0-4811-84b4-6cdfbf16c22b","resolution":{"observed_at":"2026-08-04T21:53:48.365879Z","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":"2026-08-04T21:53:48.484764Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.484764Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:a1c26a72e0252c159c2615bd7e822bb0199060c1c2d288fb9775e4a10d63abab","observation_id":"e3ef9629-5afa-4d9b-8046-7e9a6c596e79","resolution":{"observed_at":"2026-08-04T21:53:48.484764Z","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":"2026-08-04T21:54:02.934008Z","title":"Attention is all you need","venue":null,"work_id":"dcc07cc5-cdfc-4a82-bf92-00cd0e7a29f0","year":2017},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.584755Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:6c2dfc33d5d9474029564a983e353756c40d2c1c1afc6ecfa415c749901e672c","observation_id":"49bf0c72-8f62-4f21-a4d3-4a75dcd91923","resolution":{"observed_at":"2026-08-04T21:54:03.030044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:48.724933Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.724933Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:0d777d9c49fd73027c4735f67ca6bf42082cea6681b16b6af392b9bf057e02b6","observation_id":"28acc76a-7050-46fc-bd78-befa1f6948d9","resolution":{"observed_at":"2026-08-04T21:53:48.724933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-16T12:52:49.101262Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-04T21:53:48.851444Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:48.851444Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:3301270f8df0a7be3c30e7d3c01e5b23b40776975470caa9885fb7d6ad1aa380","observation_id":"8b1c82d7-3e16-4875-8545-27e307dd4c4b","resolution":{"observed_at":"2026-08-04T21:53:48.851444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-04T21:53:49.129595Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.129595Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:70a62b789eb5f70f9b12cb1487b9b8232f2768ac155eca751fbbd65b9c9a92e5","observation_id":"da707f20-480e-467a-b72f-ee758dddac2e","resolution":{"observed_at":"2026-08-04T21:53:49.129595Z","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":"2026-08-04T21:54:02.723716Z","title":"Progressive distillation for fast sampling of diffusion models","venue":null,"work_id":"62520be1-c226-44cf-bc63-c63087f48aee","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.224836Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:16cd96cc5b064b18745a883544e64644957a730e7f3ba1275e02204c4ceb2a47","observation_id":"cb71b655-a72b-421c-84c1-6579aecae7f6","resolution":{"observed_at":"2026-08-04T21:54:02.783530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:49.334834Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.334834Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:ffbf3322923a6c9ce59cac7662a93a9d99000426cd64984519813f6c62e82690","observation_id":"1f317f29-0be4-492a-980a-6c47b4ae3cf8","resolution":{"observed_at":"2026-08-04T21:53:49.334834Z","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":"2026-08-04T21:54:02.561109Z","title":"Lemurs: Large-scale multi-detector electromagnetic universal representation of showers, September 2025","venue":null,"work_id":"0d410590-5131-4960-b7f7-0e9846a0e0bb","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.394761Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:5016686cae419f2c078466eb9abee252fcc7065b55faec8269aef549b9124883","observation_id":"c08e1793-83cc-42dc-8737-24563f3a9b19","resolution":{"observed_at":"2026-08-04T21:54:02.631867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:02.254626Z","title":"Lemurs dataset: Large-scale multi- detector electromagnetic universal representation of showers, 2025","venue":null,"work_id":"ed48bc39-ce1c-4c14-a7e3-e1d13ad032d1","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.494842Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:49ccb016a3b3241843b2c7dc0989cd039a6ab2485e372ae5e819a3c6a06ae433","observation_id":"e4a6ba67-7da7-47a5-b067-29e67fb91f86","resolution":{"observed_at":"2026-08-04T21:54:02.415502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:01.934571Z","title":"Fast calorimeter simulation challenge 2022 - dataset 2, March 2022","venue":null,"work_id":"1d0f3ddd-bad4-403c-95a0-2e66ca4315f2","year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.762442Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:74709ad52d9a6d414039b71a0090a1e591d03b0f927ecd632bf7c605a0f8a3eb","observation_id":"63733dc1-cdff-4299-bdfc-c7977cc9c1e4","resolution":{"observed_at":"2026-08-04T21:54:02.094552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:01.637145Z","title":"The Open Data Detector Tracking System","venue":null,"work_id":"6d826437-940a-4191-9186-5772417cb314","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:49.964864Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:3a7db133a17f1caf53a781651912e4d6010c76add6ca477ca2fe15f016c11945","observation_id":"24d43a5b-7f3e-4a0b-9d77-bb406697d8a7","resolution":{"observed_at":"2026-08-04T21:54:01.705724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:01.310544Z","title":"Bacchetta et al","venue":null,"work_id":"a8e311e4-847e-4894-93dc-54cc77d626b2","year":2019},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.114873Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:6a99ffa5fee804a7ea42885e8a9d2650bb8915d5e6af80af57b567524296c4bc","observation_id":"ba5a9204-ea48-4c2b-a422-8667082b8448","resolution":{"observed_at":"2026-08-04T21:54:01.477079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:01.160211Z","title":"Design and performance of the calorimeter system for allegro fcc-ee detector concept","venue":null,"work_id":"4c828317-655f-4b7d-b410-9b1303085fe8","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.305493Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:eb86ba441abd68f45993c360f01d73d5d8922d63876dfb93927cc2b75bbea2a8","observation_id":"5db07200-8bae-46ad-8e8c-d1c35856b07d","resolution":{"observed_at":"2026-08-04T21:54:01.213124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:00.990049Z","title":"Aidasoft/dd4hep, October 2018","venue":null,"work_id":"cac249a1-a677-484a-b95f-3da2fe9accc7","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.454769Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:96db02d1138183caf1de99930a87356a79f01a61620c413e82fc94861644c834","observation_id":"16b2eb86-6ebc-4f13-91c4-4568c58cfc12","resolution":{"observed_at":"2026-08-04T21:54:01.065162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:50.594759Z","title":"Elucidating the design space of diffusion-based generative models, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.594759Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:625348cebfa1c7b2af529f4bef059daeee6db38ea8e6b1f5e888eb096850617c","observation_id":"71452491-11df-47c6-906c-8b32f79b61bb","resolution":{"observed_at":"2026-08-04T21:53:50.594759Z","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":"2026-08-04T21:53:50.794780Z","title":"Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.794780Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:9a548c18a56756f16f5b5d844068d7bba4133a54be57e63c64e191b0d6da8a7a","observation_id":"a248e08e-256e-4566-bb1e-09a6b40d4bd2","resolution":{"observed_at":"2026-08-04T21:53:50.794780Z","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":"2026-08-04T21:54:00.659390Z","title":"Interacting particle solutions of fokker–planck equations through gradient–log–density estimation","venue":null,"work_id":"ed30e089-1d34-4f92-bbe5-3461dd7497f4","year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:50.988921Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:2f0e109265bda22c744e28925c1a17ed791f5851e4bf1a8d30b95644f4faa6ab","observation_id":"09276f32-4931-425f-a99c-aaaf3f3dfe77","resolution":{"observed_at":"2026-08-04T21:54:00.746501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:54:00.409273Z","title":"Consistency models, 2023","venue":null,"work_id":"2e6628a3-8b39-4f72-bdd1-5c1e081ff08d","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:51.174766Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:5c4bd91f501110cdfb3e9e2b90f5b4b8d1334c551909fc9ded57986ac1800003","observation_id":"7c51e052-7f6f-4c2c-b5c8-7292db380214","resolution":{"observed_at":"2026-08-04T21:54:00.479848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:51.344757Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:51.344757Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:b56527ec9bd33fb6d9a45a692de108eb791f7e276baa18ec66aed2145a1a0faf","observation_id":"74a4d327-5470-4234-bae8-168bcc85ca1c","resolution":{"observed_at":"2026-08-04T21:53:51.344757Z","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":"2026-08-04T21:53:51.634769Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:51.634769Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:c37ab745b10b41196060fcdd5663c3827ec3b29fbeaafbd73475a711ce76dc46","observation_id":"75f30439-e8b6-46ea-b3d1-dfad321419ce","resolution":{"observed_at":"2026-08-04T21:53:51.634769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-04T21:53:51.853601Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:51.853601Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:aaf0727eddf2d712b1222a3d98a74d7a2cd7e2835bf9c31f1b78f7d86ba17286","observation_id":"74d5afea-cc6e-4ac0-92e2-625d3bec5a88","resolution":{"observed_at":"2026-08-04T21:53:51.853601Z","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":"2026-08-04T21:54:00.071017Z","title":"Consistency models","venue":null,"work_id":"0b0969d2-c616-4854-b158-adf2846a8015","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:52.094762Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:a60d115d71174719ffdbb61c413849c4c33957b07b83420fad256b1ef3b926b3","observation_id":"144bac5c-98c8-46ec-8cad-13091df34201","resolution":{"observed_at":"2026-08-04T21:54:00.164553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:52.264202Z","title":"Decoupled weight decay regularization, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:52.264202Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:f4f231ca8c275b4c2ad9b5c15252de89c5905c75559eb399bc804eb624a877bb","observation_id":"31d6bfb0-4fb5-484a-975a-d7ab51e3329f","resolution":{"observed_at":"2026-08-04T21:53:52.264202Z","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":"2026-08-04T21:53:59.644608Z","title":"MiniCPM: Unveiling the potential of small language models with scalable training strategies","venue":null,"work_id":"6161b032-e2fe-4f46-98cb-5ecb2f43cee2","year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:52.574979Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:f2e4cabbadea1e74b417b13c6a5eb07e17ee90f5a01d5b189790a05a38f9f9e9","observation_id":"32a810c7-7139-45bc-9e5c-d38a06a5ee5b","resolution":{"observed_at":"2026-08-04T21:53:59.738374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:59.394434Z","title":"Wang, David Leo Wright Hall, Percy Liang, and Tengyu Ma","venue":null,"work_id":"fdb1d503-9d2d-416c-a976-e8e0ba5f3cc6","year":2025},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:52.814760Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:92712d09edcb0bad29e510322e9b9f80cc3d7748942cb1df2ebc77f2dd12c9e5","observation_id":"3826c817-24dc-4899-9432-de60316b217d","resolution":{"observed_at":"2026-08-04T21:53:59.557666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:52.994788Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:52.994788Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:8317976760fa419eafadb865e57f4fd646f7eca2c25ab1861b4b124b0cf0eb0d","observation_id":"694fd4a4-994a-4742-a249-2c2bf651bd1f","resolution":{"observed_at":"2026-08-04T21:53:52.994788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18704","last_updated":"2024-11-27T19:14:27Z","snapshot_observed_at":"2026-08-15T20:46:33.499407Z","submitted_at":"2024-11-27T19:14:27Z","title":"Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18704","snapshot_observed_at":"2026-08-04T21:53:53.411252Z","title":"Exponential moving average of weights in deep learning: Dynamics and benefits","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:53.411252Z"},"links":{"cited_paper":"/paper/2411.18704","citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:78bc0f702c03fcc145b0c3b7f47e78c389ada4a889be702d501b291eb9c5a57e","observation_id":"8450b01c-318c-4aff-b0e4-336fa8787dcb","resolution":{"observed_at":"2026-08-04T21:53:53.411252Z","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":"2026-08-04T21:53:53.643576Z","title":"Bootstrap your own latent-a new approach to self-supervised learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:53.643576Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:105c5872099eb27272f76ab8d55a7daba59f97a0d81511396c4bbbe620aa752f","observation_id":"dc243e1a-f52c-4e20-9f35-ef79c4198af5","resolution":{"observed_at":"2026-08-04T21:53:53.643576Z","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/1253794","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T21:53:55.395084Z","title":"Level up your performance calculation of the fast shower simulation model","venue":null,"work_id":"e2a14bad-6184-4c19-a18f-1ddd3b0530b6","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:53.984752Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:f8b39ca8f1a0c06104b1ffa50ae11513a53f6c4df9981ca52ad65be6fd44ab42","observation_id":"2e785995-c3bc-42e5-8e50-75492ce4445c","resolution":{"observed_at":"2026-08-04T21:53:55.584889Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:58.984873Z","title":"Evaluating generative models in high energy physics","venue":null,"work_id":"a4ed6f1a-9ad7-46c3-8ea9-3a1a916efc46","year":2023},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:54.194758Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:8157bd6644536896c5f922e8ead999c30fc29430701cf19bc461c017a3ef164a","observation_id":"f127d5ab-f512-4d3e-ba29-5bd45931a81f","resolution":{"observed_at":"2026-08-04T21:53:59.171168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:54.424870Z","title":"Improved precision and recall metric for assessing generative models","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:54.424870Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:8660bf8fc8d0116b9a68debb5c981b3813a065e3f504c8c21a2239d863245d2f","observation_id":"e772b5e5-b10c-487b-b991-c975b05d2558","resolution":{"observed_at":"2026-08-04T21:53:54.424870Z","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":"2026-08-04T21:53:58.344761Z","title":"Reliable fidelity and diversity metrics for generative models","venue":null,"work_id":"962d50b6-dadb-421b-8e18-3f89f2ed7850","year":2020},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:54.659925Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:3187e16871c58c7ef26190e238aad63ab5c28729acab5752efdbdec7494ca237","observation_id":"348a81be-3050-44f7-af58-5005e20efa5f","resolution":{"observed_at":"2026-08-04T21:53:58.574304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:57.764762Z","title":"CaloDiT-2","venue":null,"work_id":"16c13237-8c80-4c2d-830d-3f930bd85819","year":null},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:54.814758Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:d9e8f59c0d7efeeac036b3baba69654d3a042cbd0a592cb28f4728fe0ccff183","observation_id":"9d7d1e0d-9789-4aa0-9897-aa56e9cc7de0","resolution":{"observed_at":"2026-08-04T21:53:58.084618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-04T21:53:57.255763Z","title":"Aleksa, C","venue":null,"work_id":"2efaa0a7-afef-4ba5-903b-eaca6e8e96d1","year":2018},"citing_paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-04T21:53:55.004838Z"},"links":{"citing_paper":"/paper/2509.07700"},"observation_digest":"sha256:a2ca75b60b3cc87c0d47ff3f98cad453ef9d032853ebc41b88f5473bdf2a7b18","observation_id":"82e743b0-e47e-43ce-a37c-b641cb6c2154","resolution":{"observed_at":"2026-08-04T21:53:57.544898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.07700","last_updated":"2025-09-09T13:04:37Z","latest_version":1,"primary_category":"physics.ins-det","snapshot_observed_at":"2026-08-16T05:18:09.929987Z","submitted_at":"2025-09-09T13:04:37Z","title":"A Generalisable Generative Model for Multi-Detector Calorimeter Simulation"},"reference_resolution":{"displayed":72,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":1,"verified_fuzzy":49},"total_outbound_references":72},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 7 inbound Pith citation observations for arXiv:2509.07700."}