table_result/2407.00013v1_output.json

[
    {
        "path": "table_paper/2407.00013v1.json",
        "table_id": "1",
        "section": "4.1",
        "all_context": [
            "In this subsection, the performance of the caching system is evaluated in terms of cache hit and cache miss ratios, with the key variable being the threshold value set for the “sliding window algorithm”, which means after the threshold is reached, the IoT data corresponding to the context attribute will be considered as stale and evicted from cache.",
            "The threshold is systematically varied from 10 minutes to 25 minutes, in increments of 5 minutes, as indicated in Table 1 .",
            "The results of this variation, visualized in Figure 4 , suggest a trend of increasing cache hits as the threshold value rises.",
            "After analysis, a 20-minute threshold has been selected for the experiments conducted in the subsequent sections.",
            "It s important to note that post a threshold of 22 minutes, no significant impact or changes were observed in the system s performance.",
            "This threshold selection ensures an optimal balance between cached context freshness and computational efficiency.",
            ""
        ],
        "target_context_ids": [
            0,
            1,
            2,
            3,
            4,
            5
        ],
        "selected_paragraphs": [
            "[paragraph id = 0] In this subsection, the performance of the caching system is evaluated in terms of cache hit and cache miss ratios, with the key variable being the threshold value set for the “sliding window algorithm”, which means after the threshold is reached, the IoT data corresponding to the context attribute will be considered as stale and evicted from cache.",
            "[paragraph id = 1] The threshold is systematically varied from 10 minutes to 25 minutes, in increments of 5 minutes, as indicated in Table 1 .",
            "[paragraph id = 2] The results of this variation, visualized in Figure 4 , suggest a trend of increasing cache hits as the threshold value rises.",
            "[paragraph id = 3] After analysis, a 20-minute threshold has been selected for the experiments conducted in the subsequent sections.",
            "[paragraph id = 4] It s important to note that post a threshold of 22 minutes, no significant impact or changes were observed in the system s performance.",
            "[paragraph id = 5] This threshold selection ensures an optimal balance between cached context freshness and computational efficiency."
        ],
        "table_html": "<figure class=\"ltx_table\" id=\"S4.T1\">\n<table class=\"ltx_tabular ltx_centering ltx_guessed_headers ltx_align_middle\" id=\"S4.T1.1\">\n<tbody class=\"ltx_tbody\">\n<tr class=\"ltx_tr\" id=\"S4.T1.1.1.1\">\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_row ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T1.1.1.1.1\" rowspan=\"2\" style=\"padding:2.5pt 8.0pt;\"><span class=\"ltx_text\" id=\"S4.T1.1.1.1.1.1\">Threshold</span></th>\n<td class=\"ltx_td ltx_align_center ltx_border_r ltx_border_t\" colspan=\"4\" id=\"S4.T1.1.1.1.2\" style=\"padding:2.5pt 8.0pt;\">Value</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T1.1.2.2\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.2.2.1\" style=\"padding:2.5pt 8.0pt;\">10</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.2.2.2\" style=\"padding:2.5pt 8.0pt;\">15</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.2.2.3\" style=\"padding:2.5pt 8.0pt;\">20</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.2.2.4\" style=\"padding:2.5pt 8.0pt;\">25</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T1.1.3.3\">\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_row ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T1.1.3.3.1\" style=\"padding:2.5pt 8.0pt;\">Cache hit</th>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.3.3.2\" style=\"padding:2.5pt 8.0pt;\">174</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.3.3.3\" style=\"padding:2.5pt 8.0pt;\">179</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.3.3.4\" style=\"padding:2.5pt 8.0pt;\">184</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.3.3.5\" style=\"padding:2.5pt 8.0pt;\">186</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T1.1.4.4\">\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_row ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T1.1.4.4.1\" style=\"padding:2.5pt 8.0pt;\">Cache miss</th>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.4.4.2\" style=\"padding:2.5pt 8.0pt;\">26</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.4.4.3\" style=\"padding:2.5pt 8.0pt;\">21</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.4.4.4\" style=\"padding:2.5pt 8.0pt;\">16</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T1.1.4.4.5\" style=\"padding:2.5pt 8.0pt;\">14</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T1.1.5.5\">\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_row ltx_border_b ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T1.1.5.5.1\" style=\"padding:2.5pt 8.0pt;\">Ratio</th>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T1.1.5.5.2\" style=\"padding:2.5pt 8.0pt;\">6.7</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T1.1.5.5.3\" style=\"padding:2.5pt 8.0pt;\">8.5</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T1.1.5.5.4\" style=\"padding:2.5pt 8.0pt;\">11.5</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T1.1.5.5.5\" style=\"padding:2.5pt 8.0pt;\">13.3</td>\n</tr>\n</tbody>\n</table>\n<figcaption class=\"ltx_caption ltx_centering\"><span class=\"ltx_tag ltx_tag_table\">Table 1: </span>Cache hit and cache miss ratios at different thresholds.</figcaption>\n</figure>",
        "perturb_sentence_id": [
            1,
            2
        ],
        "output": {
            "perturbed_statement": "[paragraph id = 1] The threshold is systematically varied from 10 minutes to 30 minutes, in increments of 5 minutes, as indicated in Table 1. The results of this variation, visualized in Figure 4, suggest a trend of increasing cache hits as the threshold value rises.",
            "perturbed_explanation": "1. The original explanation describes how the threshold is systematically varied from 10 minutes to 25 minutes, ensuring a controlled evaluation of the caching system's performance in relation to cache hit and miss ratios. 2. The statement incorrectly states that the threshold varies from 10 minutes to 30 minutes, whereas the correct range mentioned in the context is up to 25 minutes. This introduces a factual error as the threshold was not tested up to 30 minutes in the described experiment."
        }
    },
    {
        "path": "table_paper/2407.00013v1.json",
        "table_id": "2",
        "section": "4.2",
        "all_context": [
            "In this subsection, the size of the incoming entries load was systematically varied, testing with 150, 250, 350, and 500 for each threshold from 10 to 25 minutes in increments of 5 minutes as shown in Table 2 .",
            "The findings reveal a consistent pattern across all test cases.",
            "With an increasing number of entries, both cache hit and cache miss counts increase, but the cache hit ratio remains relatively consistent indicating that the “hybrid approach” also supports scalability.",
            "From the Cache Hit Ratio heatmap (Figure 5 ), we can observe a pattern of increasing cache hit ratio with an increasing threshold for all entry sets.",
            "For a threshold of 10, the cache hit ratio remains relatively steady around 7.33 to 7.36 across all entries.",
            "As the threshold increases to 15, there is a notable improvement in the ratio, reaching up to 9.47 for 500 entries.",
            "When the threshold is increased further to 20 minutes, the ratio experiences an additional boost to a range of approximately 12.33 to 12.46.",
            "Interestingly, upon reaching a 25-minute threshold, the ratio increases to around 14.38 for all query sets, except for 250 queries where it marginally drops to 14.15.",
            "This discrepancy could be attributed to various factors including caching policies, size of the cache, or variability in the access patterns.",
            "These findings, illustrated in the heatmap, affirm the choice of a 20-minute threshold as a suitable point.",
            "While the cache hit ratio generally improves with an increase in threshold, the gains beyond the 20-minute mark are relatively minor.",
            "This confirms the trade-off between context freshness and computational efficiency, and indicates the diminishing returns of increasing the threshold beyond 20 minutes.",
            "Therefore, a 20-minute threshold appears to be the optimal point for maintaining an efficient cache system, given the current configuration and workload.",
            ""
        ],
        "target_context_ids": [
            0,
            2,
            3,
            4,
            5,
            6,
            7,
            8,
            9,
            10,
            11,
            12
        ],
        "selected_paragraphs": [
            "[paragraph id = 0] In this subsection, the size of the incoming entries load was systematically varied, testing with 150, 250, 350, and 500 for each threshold from 10 to 25 minutes in increments of 5 minutes as shown in Table 2 .",
            "[paragraph id = 2] With an increasing number of entries, both cache hit and cache miss counts increase, but the cache hit ratio remains relatively consistent indicating that the “hybrid approach” also supports scalability.",
            "[paragraph id = 3] From the Cache Hit Ratio heatmap (Figure 5 ), we can observe a pattern of increasing cache hit ratio with an increasing threshold for all entry sets.",
            "[paragraph id = 4] For a threshold of 10, the cache hit ratio remains relatively steady around 7.33 to 7.36 across all entries.",
            "[paragraph id = 5] As the threshold increases to 15, there is a notable improvement in the ratio, reaching up to 9.47 for 500 entries.",
            "[paragraph id = 6] When the threshold is increased further to 20 minutes, the ratio experiences an additional boost to a range of approximately 12.33 to 12.46.",
            "[paragraph id = 7] Interestingly, upon reaching a 25-minute threshold, the ratio increases to around 14.38 for all query sets, except for 250 queries where it marginally drops to 14.15.",
            "[paragraph id = 8] This discrepancy could be attributed to various factors including caching policies, size of the cache, or variability in the access patterns.",
            "[paragraph id = 9] These findings, illustrated in the heatmap, affirm the choice of a 20-minute threshold as a suitable point.",
            "[paragraph id = 10] While the cache hit ratio generally improves with an increase in threshold, the gains beyond the 20-minute mark are relatively minor.",
            "[paragraph id = 11] This confirms the trade-off between context freshness and computational efficiency, and indicates the diminishing returns of increasing the threshold beyond 20 minutes.",
            "[paragraph id = 12] Therefore, a 20-minute threshold appears to be the optimal point for maintaining an efficient cache system, given the current configuration and workload."
        ],
        "table_html": "<figure class=\"ltx_table\" id=\"S4.T2\">\n<table class=\"ltx_tabular ltx_centering ltx_guessed_headers ltx_align_middle\" id=\"S4.T2.1\">\n<thead class=\"ltx_thead\">\n<tr class=\"ltx_tr\" id=\"S4.T2.1.1.1\">\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_column ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T2.1.1.1.1\" style=\"padding:2.5pt 8.0pt;\">No. of queries</th>\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_column ltx_border_r ltx_border_t\" id=\"S4.T2.1.1.1.2\" style=\"padding:2.5pt 8.0pt;\">Threshold</th>\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_column ltx_border_r ltx_border_t\" id=\"S4.T2.1.1.1.3\" style=\"padding:2.5pt 8.0pt;\">Cache Hit</th>\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_column ltx_border_r ltx_border_t\" id=\"S4.T2.1.1.1.4\" style=\"padding:2.5pt 8.0pt;\">Cache miss</th>\n<th class=\"ltx_td ltx_align_left ltx_th ltx_th_column ltx_border_r ltx_border_t\" id=\"S4.T2.1.1.1.5\" style=\"padding:2.5pt 8.0pt;\">Cache Hit Ratio</th>\n</tr>\n</thead>\n<tbody class=\"ltx_tbody\">\n<tr class=\"ltx_tr\" id=\"S4.T2.1.2.1\">\n<td class=\"ltx_td ltx_align_left ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T2.1.2.1.1\" rowspan=\"4\" style=\"padding:2.5pt 8.0pt;\"><span class=\"ltx_text\" id=\"S4.T2.1.2.1.1.1\">150</span></td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.2.1.2\" style=\"padding:2.5pt 8.0pt;\">10</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.2.1.3\" style=\"padding:2.5pt 8.0pt;\">528</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.2.1.4\" style=\"padding:2.5pt 8.0pt;\">72</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.2.1.5\" style=\"padding:2.5pt 8.0pt;\">7.33</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.3.2\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.3.2.1\" style=\"padding:2.5pt 8.0pt;\">15</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.3.2.2\" style=\"padding:2.5pt 8.0pt;\">542</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.3.2.3\" style=\"padding:2.5pt 8.0pt;\">58</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.3.2.4\" style=\"padding:2.5pt 8.0pt;\">9.34</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.4.3\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.4.3.1\" style=\"padding:2.5pt 8.0pt;\">20</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.4.3.2\" style=\"padding:2.5pt 8.0pt;\">555</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.4.3.3\" style=\"padding:2.5pt 8.0pt;\">45</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.4.3.4\" style=\"padding:2.5pt 8.0pt;\">12.33</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.5.4\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.5.4.1\" style=\"padding:2.5pt 8.0pt;\">25</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.5.4.2\" style=\"padding:2.5pt 8.0pt;\">561</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.5.4.3\" style=\"padding:2.5pt 8.0pt;\">39</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.5.4.4\" style=\"padding:2.5pt 8.0pt;\">14.38</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.6.5\">\n<td class=\"ltx_td ltx_align_left ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T2.1.6.5.1\" rowspan=\"4\" style=\"padding:2.5pt 8.0pt;\"><span class=\"ltx_text\" id=\"S4.T2.1.6.5.1.1\">250</span></td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.6.5.2\" style=\"padding:2.5pt 8.0pt;\">10</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.6.5.3\" style=\"padding:2.5pt 8.0pt;\">880</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.6.5.4\" style=\"padding:2.5pt 8.0pt;\">120</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.6.5.5\" style=\"padding:2.5pt 8.0pt;\">7.33</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.7.6\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.7.6.1\" style=\"padding:2.5pt 8.0pt;\">15</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.7.6.2\" style=\"padding:2.5pt 8.0pt;\">904</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.7.6.3\" style=\"padding:2.5pt 8.0pt;\">96</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.7.6.4\" style=\"padding:2.5pt 8.0pt;\">9.41</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.8.7\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.8.7.1\" style=\"padding:2.5pt 8.0pt;\">20</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.8.7.2\" style=\"padding:2.5pt 8.0pt;\">925</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.8.7.3\" style=\"padding:2.5pt 8.0pt;\">75</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.8.7.4\" style=\"padding:2.5pt 8.0pt;\">12.33</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.9.8\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.9.8.1\" style=\"padding:2.5pt 8.0pt;\">25</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.9.8.2\" style=\"padding:2.5pt 8.0pt;\">934</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.9.8.3\" style=\"padding:2.5pt 8.0pt;\">66</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.9.8.4\" style=\"padding:2.5pt 8.0pt;\">14.15</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.10.9\">\n<td class=\"ltx_td ltx_align_left ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T2.1.10.9.1\" rowspan=\"4\" style=\"padding:2.5pt 8.0pt;\"><span class=\"ltx_text\" id=\"S4.T2.1.10.9.1.1\">350</span></td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.10.9.2\" style=\"padding:2.5pt 8.0pt;\">10</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.10.9.3\" style=\"padding:2.5pt 8.0pt;\">1232</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.10.9.4\" style=\"padding:2.5pt 8.0pt;\">168</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.10.9.5\" style=\"padding:2.5pt 8.0pt;\">7.33</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.11.10\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.11.10.1\" style=\"padding:2.5pt 8.0pt;\">15</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.11.10.2\" style=\"padding:2.5pt 8.0pt;\">1266</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.11.10.3\" style=\"padding:2.5pt 8.0pt;\">134</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.11.10.4\" style=\"padding:2.5pt 8.0pt;\">9.44</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.12.11\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.12.11.1\" style=\"padding:2.5pt 8.0pt;\">20</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.12.11.2\" style=\"padding:2.5pt 8.0pt;\">1296</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.12.11.3\" style=\"padding:2.5pt 8.0pt;\">104</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.12.11.4\" style=\"padding:2.5pt 8.0pt;\">12.46</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.13.12\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.13.12.1\" style=\"padding:2.5pt 8.0pt;\">25</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.13.12.2\" style=\"padding:2.5pt 8.0pt;\">1309</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.13.12.3\" style=\"padding:2.5pt 8.0pt;\">91</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.13.12.4\" style=\"padding:2.5pt 8.0pt;\">14.38</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.14.13\">\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_l ltx_border_r ltx_border_t\" id=\"S4.T2.1.14.13.1\" rowspan=\"4\" style=\"padding:2.5pt 8.0pt;\"><span class=\"ltx_text\" id=\"S4.T2.1.14.13.1.1\">500</span></td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.14.13.2\" style=\"padding:2.5pt 8.0pt;\">10</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.14.13.3\" style=\"padding:2.5pt 8.0pt;\">1761</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.14.13.4\" style=\"padding:2.5pt 8.0pt;\">239</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.14.13.5\" style=\"padding:2.5pt 8.0pt;\">7.36</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.15.14\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.15.14.1\" style=\"padding:2.5pt 8.0pt;\">15</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.15.14.2\" style=\"padding:2.5pt 8.0pt;\">1809</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.15.14.3\" style=\"padding:2.5pt 8.0pt;\">191</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.15.14.4\" style=\"padding:2.5pt 8.0pt;\">9.47</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.16.15\">\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.16.15.1\" style=\"padding:2.5pt 8.0pt;\">20</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.16.15.2\" style=\"padding:2.5pt 8.0pt;\">1851</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.16.15.3\" style=\"padding:2.5pt 8.0pt;\">149</td>\n<td class=\"ltx_td ltx_align_left ltx_border_r ltx_border_t\" id=\"S4.T2.1.16.15.4\" style=\"padding:2.5pt 8.0pt;\">12.42</td>\n</tr>\n<tr class=\"ltx_tr\" id=\"S4.T2.1.17.16\">\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T2.1.17.16.1\" style=\"padding:2.5pt 8.0pt;\">25</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T2.1.17.16.2\" style=\"padding:2.5pt 8.0pt;\">1870</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T2.1.17.16.3\" style=\"padding:2.5pt 8.0pt;\">130</td>\n<td class=\"ltx_td ltx_align_left ltx_border_b ltx_border_r ltx_border_t\" id=\"S4.T2.1.17.16.4\" style=\"padding:2.5pt 8.0pt;\">14.38</td>\n</tr>\n</tbody>\n</table>\n<figcaption class=\"ltx_caption ltx_centering\"><span class=\"ltx_tag ltx_tag_table\">Table 2: </span>Cache hit and cache miss ratios at different number of entries.</figcaption>\n</figure>",
        "perturb_sentence_id": [
            0,
            1
        ],
        "output": {
            "perturbed_statement": "[paragraph id = 0] In this subsection, the size of the incoming entries load was systematically varied, testing with 200, 300, 400, and 600 for each threshold from 10 to 25 minutes in increments of 5 minutes as shown in Table 2. The findings reveal a consistent pattern across all test cases.",
            "perturbed_explanation": "1. The original statement discusses the systematic variation of incoming entries loads and mentions testing with specific entry sizes of 150, 250, 350, and 500 for each threshold from 10 to 25 minutes. 2. The statement is incorrect as it claims that the entry sizes varied as 200, 300, 400, and 600, which does not match the specified sizes of 150, 250, 350, and 500. This discrepancy changes the experimental setup and would lead to different results and conclusions."
        }
    }
]