{"as_of":"2026-08-08T13:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:db356fa50cbded818f0dabc84a12db6f6cb7ed093157185d3f1712ea8c625ba3","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:48:30.581939Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.12623/citation-record","integrity":"/paper/2506.12623/integrity","json":"/paper/2506.12623/citation-record.json","paper":"/paper/2506.12623"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.13461","last_updated":"2019-10-29T18:01:00Z","snapshot_observed_at":"2026-07-06T08:33:12.534026Z","submitted_at":"2019-10-29T18:01:00Z","title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.13461","snapshot_observed_at":"2026-08-07T00:48:29.881132Z","title":"arXiv preprint arXiv:1910.13461","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.881132Z"},"links":{"cited_paper":"/paper/1910.13461","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:201bdcc68a77ec665998936379f6d8edcb4df8ac1a7da4552fe7665fe6e00c9e","observation_id":"34ea7804-2841-406c-a928-502d210f5a08","resolution":{"observed_at":"2026-08-07T00:48:29.881132Z","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":"2026-08-07T00:48:31.288099Z","title":"InProceedings of the 2020 Con- ference on Empirical Methods in Natural Language Processing (EMNLP), pages 4707–4716, Online","venue":null,"work_id":"8ecbd51d-6d81-4613-9bd1-8de26879c17d","year":2020},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.990078Z"},"links":{"citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:0c5551a32679be3402a49a1d0b49911d0339967a6506e1ac7f5d458198fa90b2","observation_id":"bf0cc22b-2fe0-4413-a07d-e2ec1215f176","resolution":{"observed_at":"2026-08-07T00:48:31.404579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04216","last_updated":"2023-11-19T05:09:42Z","snapshot_observed_at":"2026-08-08T13:10:16.717998Z","submitted_at":"2023-06-07T07:43:11Z","title":"MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos","version":2},"cited_work":{"arxiv_id":"2306.04216","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.04216","snapshot_observed_at":"2026-08-07T00:48:30.716565Z","title":"MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos","venue":"cs.CV","work_id":"9a313aa9-78fb-4a3a-8c35-9603a9bf2724","year":2023},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:30.247861Z"},"links":{"cited_paper":"/paper/2306.04216","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:03f0e972671a366ad44de6e3af4d6930be5c45c605eb322c5462581bb9771db2","observation_id":"795be711-6f3f-4c84-a376-8019c03f01d3","resolution":{"observed_at":"2026-08-07T00:48:30.791494Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00347","last_updated":"2018-12-07T07:03:52Z","snapshot_observed_at":"2026-08-04T13:33:48.224677Z","submitted_at":"2018-11-01T12:47:11Z","title":"How2: A Large-scale Dataset for Multimodal Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00347","snapshot_observed_at":"2026-08-07T00:48:30.364282Z","title":"Karen Simonyan and Andrew Zisserman","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:30.364282Z"},"links":{"cited_paper":"/paper/1811.00347","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:e52b8581f579c73e997decc8f4762d2681ca2b0f7542ea89c099618d2b9fa0e0","observation_id":"2de4cfa6-e2a6-4e58-af28-867351195999","resolution":{"observed_at":"2026-08-07T00:48:30.364282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-07T00:48:30.467237Z","title":"Yale Song, Jordi Vallmitjana, Amanda Stent, and Alejan- dro Jaimes","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:30.467237Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:2d77f38fa628f92829983cf88552d2449f71e058aa1567d3c830b6f1a574395f","observation_id":"5f5296aa-02e4-4b02-892e-3f33da3e84d6","resolution":{"observed_at":"2026-08-07T00:48:30.467237Z","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":"2026-08-07T00:48:31.171482Z","title":"InProceed- ings of the IEEE conference on computer vision and pattern recognition, pages 1059–1067","venue":null,"work_id":"b6c001b5-8047-49a5-9f46-496f2dc3e66d","year":2018},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:30.581939Z"},"links":{"citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:5a454f0fe429ec6edd27f0e392fa094f46786c43ccb7c820ad5946429639b155","observation_id":"70c46022-23c8-4b93-8fac-770eac918e80","resolution":{"observed_at":"2026-08-07T00:48:31.211184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T00:48:31.817753Z","title":"InComputer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII 13, pages 505–520","venue":null,"work_id":"b90759ae-fbcb-4706-bd13-15a7ab7bf88c","year":2014},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.588655Z"},"links":{"citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:17b5b001014c1e33f3d92318d4d50238489fb09818ba733f9810527b71ba3f75","observation_id":"7607221a-21b7-4272-9467-33ef23071a16","resolution":{"observed_at":"2026-08-07T00:48:31.904581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.06023","last_updated":"2016-08-26T16:13:13Z","snapshot_observed_at":"2026-07-30T19:30:50.474373Z","submitted_at":"2016-02-19T02:04:18Z","title":"Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.06023","snapshot_observed_at":"2026-08-07T00:48:30.130052Z","title":"Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, and Cordelia Schmid","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:30.130052Z"},"links":{"cited_paper":"/paper/1602.06023","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:0de02fee734247c8cf4185c1c63ae6b74cb8713f692db6a6e2969f7fb8687396","observation_id":"4a6f7f72-e090-462a-9b56-96a4427c9d89","resolution":{"observed_at":"2026-08-07T00:48:30.130052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10357","last_updated":"2018-08-15T18:54:22Z","snapshot_observed_at":"2026-07-06T06:30:33.354897Z","submitted_at":"2018-03-27T23:29:23Z","title":"Deep Communicating Agents for Abstractive Summarization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.10357","snapshot_observed_at":"2026-08-07T00:48:29.217734Z","title":"Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, and Qun Liu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.217734Z"},"links":{"cited_paper":"/paper/1803.10357","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:3e9ef74eda2ec26d7e05592093a2fbed4675f28479b03096d22bf65223980881","observation_id":"264c2662-35b9-4326-84c6-0d60e4ab4ab3","resolution":{"observed_at":"2026-08-07T00:48:29.217734Z","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":"2026-08-07T00:48:31.643978Z","title":"InPro- ceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pages 1–10","venue":null,"work_id":"02ba6da4-0adf-4030-adb6-66496ee00a7c","year":2019},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.687369Z"},"links":{"citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:28d984a25f6e06d4dfa07872d1549a120c47e2f8b1b9f7df491dd7f22bd0ff39","observation_id":"63b842e4-0c12-47d4-98b7-1c8586ae3834","resolution":{"observed_at":"2026-08-07T00:48:31.740163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.08018","last_updated":"2020-09-17T02:13:14Z","snapshot_observed_at":"2026-07-06T09:56:19.448798Z","submitted_at":"2020-09-17T02:13:14Z","title":"Multi-modal Summarization for Video-containing Documents","version":1},"cited_work":{"arxiv_id":"2009.08018","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.08018","snapshot_observed_at":"2026-08-07T00:48:30.962303Z","title":"Multi-modal Summarization for Video-containing Documents","venue":"cs.CL","work_id":"fb9bfee3-d338-4ac4-a0aa-b770ce0209d4","year":2020},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.447866Z"},"links":{"cited_paper":"/paper/2009.08018","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:4ab77410b7c4758849375fd5a6918d0e228bfb9b686e1481fea5d8fc0b5f6f21","observation_id":"8063f4d8-c1ec-4ac4-89b5-c4169252c7e1","resolution":{"observed_at":"2026-08-07T00:48:31.016644Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.07143","last_updated":"2021-10-14T04:05:25Z","snapshot_observed_at":"2026-08-08T04:38:52.617907Z","submitted_at":"2021-10-14T04:05:25Z","title":"bert2BERT: Towards Reusable Pretrained Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.07143","snapshot_observed_at":"2026-08-07T00:48:29.332019Z","title":"Sandra Eliza Fontes De Avila, Ana Paula Brandao Lopes, Antonio da Luz Jr, and Arnaldo de Albu- querque Araújo","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.332019Z"},"links":{"cited_paper":"/paper/2110.07143","citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:2b6c7094e5f2525b29b025f7dbf0c0a1bc8b3c128c05118725eb7bd4ac4705f7","observation_id":"76ee0f58-4157-4dd3-b9f3-e554262b00db","resolution":{"observed_at":"2026-08-07T00:48:29.332019Z","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":"2026-08-07T00:48:31.484068Z","title":"InFindings of the Association for Computa- tional Linguistics: EACL 2023, pages 880–894","venue":null,"work_id":"93e083c1-910a-4acb-a1ea-a2240f6afaa3","year":2023},"citing_paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:29.789251Z"},"links":{"citing_paper":"/paper/2506.12623"},"observation_digest":"sha256:41ea4278ee60e9a53a014f066b883ff33f66c3ed07b752f9afe17147298a451f","observation_id":"a5eb272a-6f4d-4fad-a5ed-e63d7755510e","resolution":{"observed_at":"2026-08-07T00:48:31.573166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.12623","last_updated":"2025-06-14T20:39:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:51:45.004595Z","submitted_at":"2025-06-14T20:39:32Z","title":"MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":13},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.12623."}