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Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2},"blocks":[{"bbox":[271.42,94.13,69.16,7.97],"bbox_pdf":[271.42,689.... | CC-BY-4.0 | assets/0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1.pdf | 0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1 | arxiv:2608.08004 | page | 6 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[235.4,244.29,141.2,29.09],"bbox_pdf":[235.4,518.62,376.6,547.71],"fragments":[{"bbox_pdf":[235.4,518.62,376.6,547.71],"words":[2639,2640,2641,2642,2644,2645,2646,2647,2648,2649]}],"html":null,"kind":"paragraph","latex":"\\tilde{h}_{\\alpha}\\colon y\\mapsto\\frac{h_{\\alpha}(y)-s_{\\alpha}(p(y))}{-%\n... | CC-BY-4.0 | assets/0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1.pdf | 0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1 | arxiv:2608.08004 | formula | 6 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[226.08,369.1,159.85,37.9],"bbox_pdf":[226.08,385.01,385.93,422.9],"fragments":[{"bbox_pdf":[226.08,385.01,385.93,422.9],"words":[2743,2744,2745,2746,2747,2748,2749,2750,2751,2752,2753]}],"html":null,"kind":"paragraph","latex":"\\tilde{g}_{\\alpha\\beta}(x)=\\begin{pmatrix}e^{\\pi it_{\\alpha\\beta}(x)... | CC-BY-4.0 | assets/0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1.pdf | 0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1 | arxiv:2608.08004 | formula | 6 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[218.64,624.36,173.52,43.87],"bbox_pdf":[218.64,123.77,392.16,167.64],"fragments":[{"bbox_pdf":[218.64,123.77,392.16,167.64],"words":[2917,2918,2919,2920,2921,2922,2923,2924,2926,2927,2928,2929,2930,2931,2932,2933,2934,2935,2936,2937]}],"html":null,"kind":"paragraph","latex":"\\gamma_{1}\\cdot\\gamma_{... | CC-BY-4.0 | assets/0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1.pdf | 0bff35e2da9ff22d693bd8430754f28fa9d7f3ebf34806bd3bbec191d17afff1 | arxiv:2608.08004 | formula | 6 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2},"blocks":[{"bbox":[160.38,94.13,291.25,7.97],"bbox_pdf":[160.38,689... | CC-BY-4.0 | assets/72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6.pdf | 72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6 | arxiv:2608.08004 | page | 9 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[228.04,273.65,155.91,15.17],"bbox_pdf":[228.04,503.18,383.96,518.35],"fragments":[{"bbox_pdf":[228.04,503.18,383.96,518.35],"words":[3996,3997,3998,3999,4000,4001,4002,4003,4004,4005,4006,4007,4008]}],"html":null,"kind":"paragraph","latex":"T_{U|X}=F^{*}T_{X\\times D|X}=F^{*}\\operatorname{pr}_{D}^{*}... | CC-BY-4.0 | assets/72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6.pdf | 72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6 | arxiv:2608.08004 | formula | 9 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[214.68,582.31,182.65,12.55],"bbox_pdf":[214.68,197.14,397.33,209.69],"fragments":[{"bbox_pdf":[214.68,197.14,397.33,209.69],"words":[4280,4281,4282,4283,4284,4285,4286,4287,4288]}],"html":null,"kind":"paragraph","latex":"0\\to{\\mathbb{Z}}/2{\\mathbb{Z}}\\to\\operatorname{SL}_{2}({\\mathbb{R}})\\to%\n... | CC-BY-4.0 | assets/72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6.pdf | 72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6 | arxiv:2608.08004 | formula | 9 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[126.67,684.54,13.94,10.91],"bbox_pdf":[126.67,96.55,140.61,107.46],"fragments":[{"bbox_pdf":[126.67,96.55,140.61,107.46],"words":[4375]}],"html":null,"kind":"paragraph","latex":"\\tilde{s}^{*}T_{\\tilde{U}|\\tilde{X}}\\cong\\tilde{s}^{*}T_{\\operatorname{Tot}_{%\n\\tilde{L}}|\\tilde{X}}\\cong\\tilde{L... | CC-BY-4.0 | assets/72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6.pdf | 72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6 | arxiv:2608.08004 | formula | 9 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[246.33,681.53,119.34,20.32],"bbox_pdf":[246.33,90.15,365.67,110.47],"fragments":[{"bbox_pdf":[246.33,90.15,365.67,110.47],"words":[4376,4377,4378,4379,4380,4381,4382,4383,4384,4385,4386,4387,4388,4389,4390,4391,4392,4393]}],"html":null,"kind":"paragraph","latex":"\\tilde{s}^{*}T_{\\tilde{U}|\\tilde{X}... | CC-BY-4.0 | assets/72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6.pdf | 72c64fbb0bd4e1ddd938dc4f558b08c2980eb6cc057450927ff6b324541832d6 | arxiv:2608.08004 | formula | 9 | {"arxiv_id":"2608.08004","authors":"Serge Lvovski","title":"On holomorphic submersions with biholomorphic fibers","url":"https://arxiv.org/abs/2608.08004v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Sele... | CC-BY-4.0 | assets/de10239d34c644f99ef4d25c8639fafd7c1ef495472ae1206806dbe6a89b9041.pdf | de10239d34c644f99ef4d25c8639fafd7c1ef495472ae1206806dbe6a89b9041 | arxiv:2608.09124 | page | 2 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Sele... | CC-BY-4.0 | assets/171a1080351100d7e0911106bf67e42f9e7e8c3285f06836863d9fc098b46f8e.pdf | 171a1080351100d7e0911106bf67e42f9e7e8c3285f06836863d9fc098b46f8e | arxiv:2608.09124 | page | 5 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Sele... | CC-BY-4.0 | assets/a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098.pdf | a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098 | arxiv:2608.09124 | page | 9 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[249.74,609.4,299.27,21.87],"bbox_pdf":[249.74,160.73,549.0,182.6],"fragments":[{"bbox_pdf":[249.74,160.73,549.0,182.6],"words":[4526,4527,4528,4529,4530,4531,4532,4533,4534,4535]}],"html":null,"kind":"paragraph","latex":"\\mathrm{WSC}=\\frac{1}{|\\mathcal{I}|}\\sum_{i\\in\\mathcal{I}}\\mathbf{1}[\\hat... | CC-BY-4.0 | assets/a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098.pdf | a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098 | arxiv:2608.09124 | formula | 9 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[241.88,652.66,307.12,11.46],"bbox_pdf":[241.88,127.88,549.0,139.34],"fragments":[{"bbox_pdf":[241.88,127.88,549.0,139.34],"words":[4537,4538,4539,4541,4543,4544,4545,4546,4547,4548,4549]}],"html":null,"kind":"paragraph","latex":"\\mathcal{I}=\\{i:\\tilde{a}_{i}\\neq a_{i}\\ \\mathrm{and}\\ \\tilde{a}_... | CC-BY-4.0 | assets/a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098.pdf | a50d64c0210ccaba8612352b6207ee7515e27b89a2e85fef21329da500d09098 | arxiv:2608.09124 | formula | 9 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Sele... | CC-BY-4.0 | assets/f1e9fe871814225d366a0a48e5c4541b8de5ca5c2ba71e8f9208a0231ee53645.pdf | f1e9fe871814225d366a0a48e5c4541b8de5ca5c2ba71e8f9208a0231ee53645 | arxiv:2608.09124 | page | 10 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Sele... | CC-BY-4.0 | assets/bd8c863ec5e7e39ce530964beb7b9ad9200d2c6aad7a6e6ee9ddef3e4e0e511e.pdf | bd8c863ec5e7e39ce530964beb7b9ad9200d2c6aad7a6e6ee9ddef3e4e0e511e | arxiv:2608.09124 | page | 13 | {"arxiv_id":"2608.09124","authors":"Sam Siavoshian, Omar Ramadan, Amir K. Saeed, Benjamin A. Johnson, Amin Mohamed El-Amin Diab, Benjamin M. Rodriguez","title":"ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models","url":"https://arxiv.org/abs/2608.09124v1... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url"... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | page | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[65.42,103.61,118.35,26.61],"bbox_pdf":[65.42,661.78,183.77,688.39],"fragments":[{"bbox_pdf":[65.42,661.78,183.77,688.39],"words":[1717,1718,1719,1720,1721,1722,1723,1724,1725,1726,1727,1728]}],"html":null,"kind":"paragraph","latex":"\\mathbf{P}[p,q]=\\frac{\\mathbf{B}[p,q]}{\\sum_{a=0}^{p}\\mathbf{B}[... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[205.36,110.35,87.14,9.96],"bbox_pdf":[205.36,671.69,292.5,681.65],"fragments":[{"bbox_pdf":[205.36,671.69,292.5,681.65],"words":[1729,1730,1731,1732,1733,1734]}],"html":null,"kind":"paragraph","latex":"\\mathbf{P}[p,q]=\\frac{\\mathbf{B}[p,q]}{\\sum_{a=0}^{p}\\mathbf{B}[p,a]+%\n\\varepsilon},\\qquad 0... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[101.02,251.65,191.48,29.67],"bbox_pdf":[101.02,510.68,292.5,540.35],"fragments":[{"bbox_pdf":[101.02,510.68,292.5,540.35],"words":[1838,1839,1840,1841,1842,1844,1845,1846,1847,1848,1849]}],"html":null,"kind":"paragraph","latex":"\\begin{aligned} \\displaystyle C_{w}(b) \\displaystyle=\\left\\|\\mathbf... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[62.11,346.39,230.39,32.79],"bbox_pdf":[62.11,412.82,292.5,445.61],"fragments":[{"bbox_pdf":[62.11,412.82,292.5,445.61],"words":[1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920]}],"html":null,"kind":"paragraph","latex":"g(b)=\\frac{1}{|\\mathcal{W}|}\\sum_{w\\in\\mathcal... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[96.67,500.88,195.83,23.54],"bbox_pdf":[96.67,267.58,292.5,291.12],"fragments":[{"bbox_pdf":[96.67,267.58,292.5,291.12],"words":[2033,2034,2035,2036,2037,2038,2040,2041,2042,2043,2044,2045,2046]}],"html":null,"kind":"paragraph","latex":"\\displaystyle L_{\\mathrm{off}}=L_{\\mathrm{on}}\\frac{1-\\gamma}... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[103.26,630.29,189.24,23.54],"bbox_pdf":[103.26,138.17,292.5,161.71],"fragments":[{"bbox_pdf":[103.26,138.17,292.5,161.71],"words":[2122,2123,2124,2125,2126,2127,2128,2129,2130,2131,2132,2133,2134,2135]}],"html":null,"kind":"paragraph","latex":"f_{j}=f_{\\min}+\\frac{j-1}{n-1}(f_{\\max}-f_{\\min}).","l... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[334.76,95.96,223.24,35.98],"bbox_pdf":[334.76,660.06,558.0,696.04],"fragments":[{"bbox_pdf":[334.76,660.06,558.0,696.04],"words":[2221,2222,2223,2224,2225,2226,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236,2237,2238,2239]}],"html":null,"kind":"paragraph","latex":"\\xi_{x}[u]=\\frac{\\sum_{v=1}^{V}... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[348.86,270.48,209.14,67.18],"bbox_pdf":[348.86,454.33,558.0,521.52],"fragments":[{"bbox_pdf":[348.86,454.33,558.0,521.52],"words":[2368,2369,2370,2371,2372,2373,2374,2375,2376,2377,2378,2379,2380,2381,2382,2383,2384,2385,2386,2387,2388,2389,2390,2391,2392,2393]}],"html":null,"kind":"paragraph","latex"... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[371.77,388.69,186.23,26.31],"bbox_pdf":[371.77,377.0,558.0,403.31],"fragments":[{"bbox_pdf":[371.77,377.0,558.0,403.31],"words":[2437,2438,2439,2440,2441,2442,2443,2444,2445,2446,2447,2448,2449,2450,2451,2452,2453]}],"html":null,"kind":"paragraph","latex":"\\displaystyle\\pi_{j}=\\frac{c_{j}}{N_{\\mat... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[347.4,469.89,210.6,44.49],"bbox_pdf":[347.4,277.63,558.0,322.11],"fragments":[{"bbox_pdf":[347.4,277.63,558.0,322.11],"words":[2503,2504,2505,2506,2507,2508,2509,2510,2511,2512,2513,2514,2515,2516,2517,2518,2519]}],"html":null,"kind":"paragraph","latex":"\\mathbf{s}^{\\star}=\\underset{\\begin{subarra... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[326.15,597.8,231.85,34.12],"bbox_pdf":[326.15,160.08,558.0,194.2],"fragments":[{"bbox_pdf":[326.15,160.08,558.0,194.2],"words":[2575,2576,2577,2578,2579,2580,2581,2582,2583,2584,2585,2586,2587,2591,2592,2593,2594,2595,2596,2597,2598,2599,2600,2601,2602,2603,2605,2606,2607,2608,2609,2610]}],"html":null... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[341.89,672.31,177.12,32.22],"bbox_pdf":[341.89,87.47,519.01,119.69],"fragments":[{"bbox_pdf":[341.89,87.47,519.01,119.69],"words":[2641,2642,2643,2644,2645,2646,2647,2648,2649,2650,2651,2652,2653,2654,2655,2656,2657,2658,2659,2660,2661]}],"html":null,"kind":"paragraph","latex":"\\delta^{\\star}(t)=\\b... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[541.41,686.36,16.6,9.96],"bbox_pdf":[541.41,95.68,558.0,105.64],"fragments":[{"bbox_pdf":[541.41,95.68,558.0,105.64],"words":[2662]}],"html":null,"kind":"paragraph","latex":"\\delta^{\\star}(t)=\\begin{cases}\\delta_{\\mathrm{on}}(\\tau(t)),&0\\leq\\tau(t)<L_{%\n\\mathrm{on}},\\\\\n0,&L_{\\mathrm{on}}... | CC-BY-4.0 | assets/ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3.pdf | ae6867d11cf1c89f3d388119048b8b3643d634c499ca287000ecd12e941c9dc3 | arxiv:2608.09158 | formula | 3 | {"arxiv_id":"2608.09158","authors":"Yuanhe Zhang, Weiliu Wang, Jie Ren, Liang Lin, Zhenhong Zhou, Haoran Gao, Kun Wang, Chen Li, Li Sun, Sen Su","title":"From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs","url":"https://arxiv.org/abs/2608.09158v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1},"blocks":[{"bbox":[51... | CC-BY-4.0 | assets/10393d33637edf48d5a6b6a0b7107706c0b0887bb9fb80e9e68de3184e826f02.pdf | 10393d33637edf48d5a6b6a0b7107706c0b0887bb9fb80e9e68de3184e826f02 | arxiv:2608.09187 | page | 3 | {"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1},"blocks":[{"bbox":[14... | CC-BY-4.0 | assets/b6705e8a9d03a31c5cdac5317770402507d97a3c7ea0eba153352750173e9ea5.pdf | b6705e8a9d03a31c5cdac5317770402507d97a3c7ea0eba153352750173e9ea5 | arxiv:2608.09187 | page | 6 | {"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1},"blocks":[{"bbox":[51... | CC-BY-4.0 | assets/9c5d9b47e29c618f6d7d4961711c49814044977cba0e59685dde53a0d4e1691d.pdf | 9c5d9b47e29c618f6d7d4961711c49814044977cba0e59685dde53a0d4e1691d | arxiv:2608.09187 | page | 7 | {"arxiv_id":"2608.09187","authors":"Yanlin Yu","title":"Failure-Aware Long-Form Translation: Design and Implementation of a Recoverable LLM Translation System","url":"https://arxiv.org/abs/2608.09187v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: ... | CC-BY-4.0 | assets/2ff3a6316284b53aa1f5ab5097f99703cd12c3a4e9d5e1d795eb3a83d2378c1d.pdf | 2ff3a6316284b53aa1f5ab5097f99703cd12c3a4e9d5e1d795eb3a83d2378c1d | arxiv:2608.09230 | page | 3 | {"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowle... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: ... | CC-BY-4.0 | assets/dc2b5d7f1b116349fdffc104fb262b7f8323b7b13de3d99d4bf0b3edd9edac6a.pdf | dc2b5d7f1b116349fdffc104fb262b7f8323b7b13de3d99d4bf0b3edd9edac6a | arxiv:2608.09230 | page | 4 | {"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowle... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: ... | CC-BY-4.0 | assets/de7176ff0f09c110b1c0a92521242f9309d79a6e2af6f899c2560a8627819a25.pdf | de7176ff0f09c110b1c0a92521242f9309d79a6e2af6f899c2560a8627819a25 | arxiv:2608.09230 | page | 6 | {"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowle... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: ... | CC-BY-4.0 | assets/b7180311fe05de83933cd0df11ad785752f4153ad7af499d525483d7cd757a24.pdf | b7180311fe05de83933cd0df11ad785752f4153ad7af499d525483d7cd757a24 | arxiv:2608.09230 | page | 7 | {"arxiv_id":"2608.09230","authors":"Yuanchi Zhu, Kang An, Tengyue Wang, Zhongyu Yang, Chenxu Du, Xinqi Yang, Hebao Zhu, Bokai Zhao, Tianyu Liang, Ziliang Wang, Faqiang Qian, Yunli Yang, Weiyang Shi, Qibing Ren","title":"SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowle... | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/1dd141355ca108294da83b2b638f7fd246b107af3175b3c4cd09eea06c8d918f.pdf | 1dd141355ca108294da83b2b638f7fd246b107af3175b3c4cd09eea06c8d918f | arxiv:2608.09254 | page | 4 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/5cb75d0087a6ac6a8046d9f85d8bdb396ea44898f88400ef9508ed1604c4f1f4.pdf | 5cb75d0087a6ac6a8046d9f85d8bdb396ea44898f88400ef9508ed1604c4f1f4 | arxiv:2608.09254 | page | 5 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/ae1a78fa61b9a12b1617bd91d42337a72d36b4e7573ab4b6af7d4009c938d534.pdf | ae1a78fa61b9a12b1617bd91d42337a72d36b4e7573ab4b6af7d4009c938d534 | arxiv:2608.09254 | page | 6 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/3e5c9d26fda373c9af55467af9416dcfd8a7cbc29bc1e56fae494d0dafee2b29.pdf | 3e5c9d26fda373c9af55467af9416dcfd8a7cbc29bc1e56fae494d0dafee2b29 | arxiv:2608.09254 | page | 7 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/fb52bfe30a29df867b761f6c80afcc28ab3de86c6243f33fd8fc39fc603b4464.pdf | fb52bfe30a29df867b761f6c80afcc28ab3de86c6243f33fd8fc39fc603b4464 | arxiv:2608.09254 | page | 8 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/177536918df5b706cb003e3116e1b1e5c036c1796f86e456c9caf558612e2f45.pdf | 177536918df5b706cb003e3116e1b1e5c036c1796f86e456c9caf558612e2f45 | arxiv:2608.09254 | page | 11 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/1624aa81784da5ed0d144994c7d4be3c84bccc25521d6838e978ae430d277549.pdf | 1624aa81784da5ed0d144994c7d4be3c84bccc25521d6838e978ae430d277549 | arxiv:2608.09254 | page | 12 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/4f2fe93df4ac10b6246422e7d522106ef4c21cbfb5b47fd0ef2a8966938951ec.pdf | 4f2fe93df4ac10b6246422e7d522106ef4c21cbfb5b47fd0ef2a8966938951ec | arxiv:2608.09254 | page | 16 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1},"blocks":[{"bb... | CC-BY-4.0 | assets/aab0bcb2751d9e66d3c562b15fcaa068846c583dd56d086a42456a256cf76869.pdf | aab0bcb2751d9e66d3c562b15fcaa068846c583dd56d086a42456a256cf76869 | arxiv:2608.09254 | page | 17 | {"arxiv_id":"2608.09254","authors":"Morris Lee","title":"Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline","url":"https://arxiv.org/abs/2608.09254v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[75.... | CC-BY-4.0 | assets/5bab1702076eb556f0dcabbfbd7fcc163896052795cad996e5de3b1629a7025d.pdf | 5bab1702076eb556f0dcabbfbd7fcc163896052795cad996e5de3b1629a7025d | arxiv:2608.09437 | page | 1 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[71.... | CC-BY-4.0 | assets/71e45d69a14a4afec017d9bed1b83a1eef2014b2eaafe4a99e0feb47cfe8b4e8.pdf | 71e45d69a14a4afec017d9bed1b83a1eef2014b2eaafe4a99e0feb47cfe8b4e8 | arxiv:2608.09437 | page | 2 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[72.... | CC-BY-4.0 | assets/d8c478c263395100ffd97c6595e3bfc16c3034e6f068f906f5c2a3723d6ed31f.pdf | d8c478c263395100ffd97c6595e3bfc16c3034e6f068f906f5c2a3723d6ed31f | arxiv:2608.09437 | page | 5 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[72.... | CC-BY-4.0 | assets/f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548.pdf | f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548 | arxiv:2608.09437 | page | 10 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[171.06,232.05,370.22,45.76],"bbox_pdf":[171.06,514.19,541.28,559.95],"fragments":[{"bbox_pdf":[171.06,514.19,541.28,559.95],"words":[5565,5566,5567,5568,5569,5570,5571,5572,5573,5574,5575,5576,5577,5578,5579,5580,5581,5582,5583,5584,5585,5586,5587,5588,5589,5590,5591]}],"html":null,"kind":"paragraph",... | CC-BY-4.0 | assets/f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548.pdf | f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548 | arxiv:2608.09437 | formula | 10 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[209.73,624.83,192.55,38.41],"bbox_pdf":[209.73,128.77,402.27,167.17],"fragments":[{"bbox_pdf":[209.73,128.77,402.27,167.17],"words":[5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940,5941]}],"html":null,"kind":"paragraph","latex":"\\begin{array}[]{c|ccccc}&Q&Qt_{ab}&Qt_{c... | CC-BY-4.0 | assets/f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548.pdf | f98804ffab935f44664832e1dc3baa83e4eaf38ead6c85291c336d749a5bd548 | arxiv:2608.09437 | formula | 10 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[72.... | CC-BY-4.0 | assets/c3daf979b00cbd11c35bea60b56a82b4a1a6e4a9b4da34d010f23237f5dd35fb.pdf | c3daf979b00cbd11c35bea60b56a82b4a1a6e4a9b4da34d010f23237f5dd35fb | arxiv:2608.09437 | page | 14 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[196.1,250.13,219.8,10.91],"bbox_pdf":[196.1,530.96,415.9,541.87],"fragments":[{"bbox_pdf":[196.1,530.96,415.9,541.87],"words":[7974,7975,7976,7977,7978,7980,7981,7982,7983,7984,7985,7986,7987,7988,7989]}],"html":null,"kind":"paragraph","latex":"\\mathcal{I}=\\{I\\subseteq M:|I\\cap S|\\leq b(S)\\text{... | CC-BY-4.0 | assets/c3daf979b00cbd11c35bea60b56a82b4a1a6e4a9b4da34d010f23237f5dd35fb.pdf | c3daf979b00cbd11c35bea60b56a82b4a1a6e4a9b4da34d010f23237f5dd35fb | arxiv:2608.09437 | formula | 14 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[72.... | CC-BY-4.0 | assets/f534970687b421f2cbc7edea08ce15fd8a02d9f52bb5fb9ed2fb4beb06ef5007.pdf | f534970687b421f2cbc7edea08ce15fd8a02d9f52bb5fb9ed2fb4beb06ef5007 | arxiv:2608.09437 | page | 16 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[210.2,104.49,191.59,31.73],"bbox_pdf":[210.2,655.78,401.79,687.51],"fragments":[{"bbox_pdf":[210.2,655.78,401.79,687.51],"words":[8916,8917,8918,8919,8920,8921,8922,8923,8924,8925,8926,8927,8928,8929,8930,8931,8932]}],"html":null,"kind":"paragraph","latex":"|A_{r}\\cap S|\\leq\\frac{|S|-\\delta}{3}+\\... | CC-BY-4.0 | assets/f534970687b421f2cbc7edea08ce15fd8a02d9f52bb5fb9ed2fb4beb06ef5007.pdf | f534970687b421f2cbc7edea08ce15fd8a02d9f52bb5fb9ed2fb4beb06ef5007 | arxiv:2608.09437 | formula | 16 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[72.... | CC-BY-4.0 | assets/5fd7d64c921940283f4e7a10697513c586d1c6ccc3ef0c8982d674238e1d27ff.pdf | 5fd7d64c921940283f4e7a10697513c586d1c6ccc3ef0c8982d674238e1d27ff | arxiv:2608.09437 | page | 17 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[186.47,498.29,239.06,14.76],"bbox_pdf":[186.47,278.95,425.53,293.71],"fragments":[{"bbox_pdf":[186.47,278.95,425.53,293.71],"words":[9880,9881,9882,9883,9884,9885,9886,9887,9888,9889,9890,9891,9892,9893,9894,9895,9896]}],"html":null,"kind":"paragraph","latex":"v_{i}(A_{i}\\setminus C)=\\widehat{v}_{i}... | CC-BY-4.0 | assets/5fd7d64c921940283f4e7a10697513c586d1c6ccc3ef0c8982d674238e1d27ff.pdf | 5fd7d64c921940283f4e7a10697513c586d1c6ccc3ef0c8982d674238e1d27ff | arxiv:2608.09437 | formula | 17 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1},"blocks":[{"bbox":[71.... | CC-BY-4.0 | assets/641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1.pdf | 641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1 | arxiv:2608.09437 | page | 18 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[244.41,357.95,123.18,15.85],"bbox_pdf":[244.41,418.2,367.59,434.05],"fragments":[{"bbox_pdf":[244.41,418.2,367.59,434.05],"words":[10306,10307,10308,10309,10310,10311,10312,10313,10314]}],"html":null,"kind":"paragraph","latex":"|\\mathcal{X}_{n,k}|\\longrightarrow S(W_{n})\\cong S^{n-2}.","level":null... | CC-BY-4.0 | assets/641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1.pdf | 641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1 | arxiv:2608.09437 | formula | 18 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[251.76,650.46,108.49,12.47],"bbox_pdf":[251.76,129.06,360.25,141.54],"fragments":[{"bbox_pdf":[251.76,129.06,360.25,141.54],"words":[10547,10548,10549,10550,10551,10552,10553,10554,10555]}],"html":null,"kind":"paragraph","latex":"P^{A}=(A,U\\setminus A,E,F).","level":null,"list_depth":null,"match":{"s... | CC-BY-4.0 | assets/641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1.pdf | 641f7e23692ebe68e5a33ec12b924d96965a74c870bab615a97863615609e7f1 | arxiv:2608.09437 | formula | 18 | {"arxiv_id":"2608.09437","authors":"Max Dupr\\'{e} la Tour","title":"Balanced Fair Division for Three Agents under General Valuations and Laminar Constraints","url":"https://arxiv.org/abs/2608.09437v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/2fb1ab6fc8236cda070607ca87a57d4019d6854ad7ba703fc1bc848a522bdf73.pdf | 2fb1ab6fc8236cda070607ca87a57d4019d6854ad7ba703fc1bc848a522bdf73 | arxiv:2608.09448 | page | 2 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | page | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[236.39,188.7,304.28,13.55],"bbox_pdf":[236.39,589.75,540.67,603.3],"fragments":[{"bbox_pdf":[236.39,589.75,540.67,603.3],"words":[2746,2747,2748,2749,2750,2751,2752,2753,2754,2757,2758]}],"html":null,"kind":"paragraph","latex":"Q_{\\tau}^{(0)}=\\left[p_{t}\\;\\middle|\\;E_{z}(Z_{t})\\;\\middle|\\;E_{a... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | formula | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[232.64,236.87,308.03,28.39],"bbox_pdf":[232.64,526.74,540.67,555.13],"fragments":[{"bbox_pdf":[232.64,526.74,540.67,555.13],"words":[2801,2802,2803,2804,2805,2806,2807,2808,2810,2809,2811,2812,2813,2814,2815,2816]}],"html":null,"kind":"paragraph","latex":"\\mathcal{L}_{\\mathrm{wpi}}=\\frac{1}{NC}\\le... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | formula | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[224.08,443.46,316.59,31.41],"bbox_pdf":[224.08,317.13,540.67,348.54],"fragments":[{"bbox_pdf":[224.08,317.13,540.67,348.54],"words":[3000,3001,3002,3003,3004,3005,3006,3007,3008,3009,3010,3011,3012,3013,3014,3015,3016,3017,3018,3019,3020]}],"html":null,"kind":"paragraph","latex":"\\Delta_{t}^{c}=\\fra... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | formula | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[235.9,542.08,304.77,47.76],"bbox_pdf":[235.9,202.16,540.67,249.92],"fragments":[{"bbox_pdf":[235.9,202.16,540.67,249.92],"words":[3098,3099,3100,3101,3102,3103,3104,3105,3106,3107,3108,3110]}],"html":null,"kind":"paragraph","latex":"\\begin{aligned} \\displaystyle\\mathcal{L}_{\\mathrm{focus},t} \\dis... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | formula | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[246.82,673.34,293.84,49.29],"bbox_pdf":[246.82,69.37,540.67,118.66],"fragments":[{"bbox_pdf":[246.82,69.37,540.67,118.66],"words":[3199,3200,3201,3202,3203,3204,3205,3206,3207,3208,3209,3210,3211,3212,3213,3214,3215,3216,3217,3218,3219,3220]}],"html":null,"kind":"paragraph","latex":"\\begin{gathered}R... | CC-BY-4.0 | assets/d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618.pdf | d9012f97053c4e6c73eb3e3acf6310b75d7e8ee83c91fda232041c2e4ea74618 | arxiv:2608.09448 | formula | 5 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/f508261c37a5c4fc59fcb8b01e673ecb7ec9dafca51bd0c76e57d5cec5c85986.pdf | f508261c37a5c4fc59fcb8b01e673ecb7ec9dafca51bd0c76e57d5cec5c85986 | arxiv:2608.09448 | page | 7 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/c6d76eb1b50c667ab2084e07b94873745a2f6eb5e5edbb6608b06a18255ef697.pdf | c6d76eb1b50c667ab2084e07b94873745a2f6eb5e5edbb6608b06a18255ef697 | arxiv:2608.09448 | page | 8 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/2bf9539fbd33ec23beebf914b671c870e1907211d54e81fad133122875fe916e.pdf | 2bf9539fbd33ec23beebf914b671c870e1907211d54e81fad133122875fe916e | arxiv:2608.09448 | page | 11 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809.pdf | 6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809 | arxiv:2608.09448 | page | 15 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[238.05,237.15,302.61,26.61],"bbox_pdf":[238.05,528.24,540.66,554.85],"fragments":[{"bbox_pdf":[238.05,528.24,540.66,554.85],"words":[8159,8160,8161,8162,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174]}],"html":null,"kind":"paragraph","latex":"r_{t}^{c}=\\frac{\\Delta_{t}^{c}-\\operatornam... | CC-BY-4.0 | assets/6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809.pdf | 6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809 | arxiv:2608.09448 | formula | 15 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[241.35,402.82,299.32,63.47],"bbox_pdf":[241.35,325.71,540.67,389.18],"fragments":[{"bbox_pdf":[241.35,325.71,540.67,389.18],"words":[8257,8258,8259,8260,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,8272,8273,8274,8275,8276,8277,8278,8279,8280,8281,8282]}],"html":null,"kind":"paragraph","late... | CC-BY-4.0 | assets/6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809.pdf | 6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809 | arxiv:2608.09448 | formula | 15 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[261.34,624.99,279.32,32.6],"bbox_pdf":[261.34,134.41,540.66,167.01],"fragments":[{"bbox_pdf":[261.34,134.41,540.66,167.01],"words":[8411,8412,8413,8414,8415,8416,8417,8418,8419,8420,8421,8422,8423]}],"html":null,"kind":"paragraph","latex":"R_{x}=\\frac{\\overline{\\mathcal{L}}^{\\mathrm{old}}_{x}-\\ov... | CC-BY-4.0 | assets/6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809.pdf | 6ac10e06adad21b374f97a5e9aa1b7de4762479b690b36d7fc93849b02202809 | arxiv:2608.09448 | formula | 15 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://a... | CC-BY-4.0 | assets/842ee59b35325993ae5f6e68702d5989123862876c7510f20f959209932bda02.pdf | 842ee59b35325993ae5f6e68702d5989123862876c7510f20f959209932bda02 | arxiv:2608.09448 | page | 16 | {"arxiv_id":"2608.09448","authors":"Hongjin Ji, Guoyang Xia, Luoyang Sun, Fangxiang Feng, Lei Ren","title":"VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction","url":"https://arxiv.org/abs/2608.09448v2","version":2} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09... | CC-BY-4.0 | assets/5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a.pdf | 5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a | arxiv:2608.09451 | page | 2 | {"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09451v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[327.88,452.58,231.11,24.41],"bbox_pdf":[327.88,315.01,558.99,339.42],"fragments":[{"bbox_pdf":[327.88,315.01,558.99,339.42],"words":[1497,1498,1499,1500,1501,1502,1504,1505,1506,1507,1508,1509,1510,1511,1512,1514,1515,1516,1517,1518,1519]}],"html":null,"kind":"paragraph","latex":"\\pi_{s}^{*}=\\arg\\m... | CC-BY-4.0 | assets/5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a.pdf | 5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a | arxiv:2608.09451 | formula | 2 | {"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09451v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[349.01,621.58,209.98,23.33],"bbox_pdf":[349.01,147.09,558.99,170.42],"fragments":[{"bbox_pdf":[349.01,147.09,558.99,170.42],"words":[1594,1595,1596,1597,1598,1599,1602,1604,1605,1607,1608,1610,1611,1612,1613,1614,1615]}],"html":null,"kind":"paragraph","latex":"q_{s}=\\frac{1}{C\\cdot|\\mathcal{R}_{s-1... | CC-BY-4.0 | assets/5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a.pdf | 5c2e52cf1cb2580d469b1132e94a848c801fe45f74c36110081013bf39151b1a | arxiv:2608.09451 | formula | 2 | {"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09451v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09... | CC-BY-4.0 | assets/be1ea06c08cf0b516507af1ea380a7cdd1ab87a8456cb366f66f000648a4f528.pdf | be1ea06c08cf0b516507af1ea380a7cdd1ab87a8456cb366f66f000648a4f528 | arxiv:2608.09451 | page | 4 | {"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09451v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09... | CC-BY-4.0 | assets/c8e532b8512ad6c4762bb03be685f80ce7effa5fefeaba4a4e5d0e001ae6f539.pdf | c8e532b8512ad6c4762bb03be685f80ce7effa5fefeaba4a4e5d0e001ae6f539 | arxiv:2608.09451 | page | 5 | {"arxiv_id":"2608.09451","authors":"Yuzhu Wang, Archontis Politis, Konstantinos Drossos, Tuomas Virtanen","title":"Dynamic Clustering for Cross-Segment Permutation Alignment in Long Speech Separation","url":"https://arxiv.org/abs/2608.09451v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/6fdd03999b2d4cb7b15d9276b007ed4df39bcecb1064b318aa8de8b50a08de48.pdf | 6fdd03999b2d4cb7b15d9276b007ed4df39bcecb1064b318aa8de8b50a08de48 | arxiv:2608.09460 | page | 2 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/da8ab32493eb1233e44cce166894f63aeddeaa46abac4e7591c47905f7dcb155.pdf | da8ab32493eb1233e44cce166894f63aeddeaa46abac4e7591c47905f7dcb155 | arxiv:2608.09460 | page | 8 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/f998ea87063e5f717e590a5d3d3761b780cec65b092303b0366e78f655fa7589.pdf | f998ea87063e5f717e590a5d3d3761b780cec65b092303b0366e78f655fa7589 | arxiv:2608.09460 | page | 10 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/b2ae31414f7bdb8462c2fa6bc396fa5934b3f94d720945893f46a9154cca33a6.pdf | b2ae31414f7bdb8462c2fa6bc396fa5934b3f94d720945893f46a9154cca33a6 | arxiv:2608.09460 | page | 12 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/5ca9a03023ad068218ac927368552eeeeb9fdb6889855aa41a4b1acf974b36b8.pdf | 5ca9a03023ad068218ac927368552eeeeb9fdb6889855aa41a4b1acf974b36b8 | arxiv:2608.09460 | page | 13 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/222563139fb548af2204a10b8c16d93600614f7d4d4580e75eb813fa674a66e3.pdf | 222563139fb548af2204a10b8c16d93600614f7d4d4580e75eb813fa674a66e3 | arxiv:2608.09460 | page | 14 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/fd68cd8795f3d373b06709526f6819b1b2eb66a9004482adaa2858fa84503e16.pdf | fd68cd8795f3d373b06709526f6819b1b2eb66a9004482adaa2858fa84503e16 | arxiv:2608.09460 | page | 15 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[154.27,507.97,376.49,31.24],"bbox_pdf":[154.27,302.68,530.76,333.92],"fragments":[{"bbox_pdf":[154.27,302.68,530.76,333.92],"words":[5850,5851,5853,5854,5855,5856,5857,5858,5859,5860,5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875]}],"html":null,"kind":"paragraph","latex":"\... | CC-BY-4.0 | assets/fd68cd8795f3d373b06709526f6819b1b2eb66a9004482adaa2858fa84503e16.pdf | fd68cd8795f3d373b06709526f6819b1b2eb66a9004482adaa2858fa84503e16 | arxiv:2608.09460 | formula | 15 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554.pdf | 5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554 | arxiv:2608.09460 | page | 16 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[259.57,193.67,271.19,14.55],"bbox_pdf":[259.57,633.67,530.76,648.22],"fragments":[{"bbox_pdf":[259.57,633.67,530.76,648.22],"words":[6161,6163,6162,6164,6165,6166,6167,6168,6169]}],"html":null,"kind":"paragraph","latex":"\\tilde{\\boldsymbol{\\mu}}=\\mathcal{D}_{\\theta_{\\mathcal{D}}}^{cVAE}(\\tilde{... | CC-BY-4.0 | assets/5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554.pdf | 5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554 | arxiv:2608.09460 | formula | 16 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[133.85,288.44,396.91,14.51],"bbox_pdf":[133.85,538.94,530.76,553.45],"fragments":[{"bbox_pdf":[133.85,538.94,530.76,553.45],"words":[6232,6236,6233,6234,6235,6237,6238,6239,6240,6241,6242,6243,6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259,6260,6261,6262]}],"html":null... | CC-BY-4.0 | assets/5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554.pdf | 5cd97e976102d6713affa0ca90d567d430b5cdce63eb51e79800577bcc46e554 | arxiv:2608.09460 | formula | 16 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/959c868b37f8eeeb9f9c3c60b1f5ed52db967a3382142f5f13e5350d636782c4.pdf | 959c868b37f8eeeb9f9c3c60b1f5ed52db967a3382142f5f13e5350d636782c4 | arxiv:2608.09460 | page | 17 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c.pdf | 13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c | arxiv:2608.09460 | page | 18 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[169.98,262.66,360.78,32.26],"bbox_pdf":[169.98,546.97,530.76,579.23],"fragments":[{"bbox_pdf":[169.98,546.97,530.76,579.23],"words":[6853,6854,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864,6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877]}],"html":null,"kind":"paragraph","latex":"\... | CC-BY-4.0 | assets/13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c.pdf | 13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c | arxiv:2608.09460 | formula | 18 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[195.19,422.15,335.57,31.43],"bbox_pdf":[195.19,388.31,530.76,419.74],"fragments":[{"bbox_pdf":[195.19,388.31,530.76,419.74],"words":[7051,7052,7058,7053,7054,7055,7059,7056,7060,7061,7062,7064,7063,7065,7066,7067,7068,7070,7071,7072,7073,7074]}],"html":null,"kind":"paragraph","latex":"\\left\\{\\begin... | CC-BY-4.0 | assets/13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c.pdf | 13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c | arxiv:2608.09460 | formula | 18 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[225.83,587.45,143.61,23.54],"bbox_pdf":[225.83,230.9,369.44,254.44],"fragments":[{"bbox_pdf":[225.83,230.9,369.44,254.44],"words":[7204,7205,7206,7207,7208,7209,7210,7211,7212]}],"html":null,"kind":"paragraph","latex":"D_{M}(\\mathbf{s})=\\sqrt{(\\mathbf{s}-\\boldsymbol{\\mu})^{T}\\mathbf{\\Sigma}^{-1... | CC-BY-4.0 | assets/13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c.pdf | 13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c | arxiv:2608.09460 | formula | 18 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[264.14,664.35,266.63,24.93],"bbox_pdf":[264.14,152.61,530.77,177.54],"fragments":[{"bbox_pdf":[264.14,152.61,530.77,177.54],"words":[7279,7280,7281,7282,7283,7284,7285]}],"html":null,"kind":"paragraph","latex":"D_{M}>\\sqrt{\\chi^{2}_{k}(p)},","level":null,"list_depth":null,"match":{"src_placed":1.0,"... | CC-BY-4.0 | assets/13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c.pdf | 13f265f11ac4b49384aa7a5c8726f697be390f269fe4851986c854e9358e7f5c | arxiv:2608.09460 | formula | 18 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"annotates":["heading","list_item","table","paragraph","furniture"],"attribution":{"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation fo... | CC-BY-4.0 | assets/939b8b6461ffe09b7732c96e130146958d3436e0874032489ca8884063425bb4.pdf | 939b8b6461ffe09b7732c96e130146958d3436e0874032489ca8884063425bb4 | arxiv:2608.09460 | page | 19 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
Innovation Trigger B.V., PDFluent ground-truth annotations (2026) | {"block":{"bbox":[189.56,553.29,341.2,14.42],"bbox_pdf":[189.56,274.19,530.76,288.6],"fragments":[{"bbox_pdf":[189.56,274.19,530.76,288.6],"words":[7680,7681,7682,7683,7684,7686,7687,7688,7689,7690,7691,7692,7693,7694,7695,7696]}],"html":null,"kind":"paragraph","latex":"\\mathbf{h}_{0}^{mlp}=s(\\mathbf{b}_{1},g(\\mathb... | CC-BY-4.0 | assets/939b8b6461ffe09b7732c96e130146958d3436e0874032489ca8884063425bb4.pdf | 939b8b6461ffe09b7732c96e130146958d3436e0874032489ca8884063425bb4 | arxiv:2608.09460 | formula | 19 | {"arxiv_id":"2608.09460","authors":"Konstantinos Kevopoulos, Beatrice Moscoloni, Benjamin Alheit, Cameron Beeche, Julio A. Chirinos, Alexander Heinlein, and Mathias Peirlinck","title":"Flow-based conditional cardiac anatomy generation for virtual cohorts","url":"https://arxiv.org/abs/2608.09460v1","version":1} | CC-BY-4.0 | arxiv-aligned/dev |
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