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<titleInfo><title>Quantitative monitoring of Signal First-Order logic</title></titleInfo>

  
  
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<name type="personal">
  <namePart type="given">Marek</namePart>
  <namePart type="family">Chalupa</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">87e34708-d6c6-11ec-9f5b-9391e7be2463</identifier></name>
<name type="personal">
  <namePart type="given">Thomas A</namePart>
  <namePart type="family">Henzinger</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">40876CD8-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-2985-7724</description></name>
<name type="personal">
  <namePart type="given">Naci E</namePart>
  <namePart type="family">Sarac</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">8C6B42F8-C8E6-11E9-A03A-F2DCE5697425</identifier></name>
<name type="personal">
  <namePart type="given">Zhengqi</namePart>
  <namePart type="family">Yu</namePart>
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<name type="conference">
  <namePart>FM: Formal Methods</namePart>
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  <namePart>Vigilant Algorithmic Monitoring of Software</namePart>
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<abstract lang="eng">Runtime monitoring checks, during execution, whether a partial signal produced by a hybrid system satisfies its specification. Signal First-Order Logic (SFO) offers expressive real-time specifications over such signals, but currently comes only with Boolean semantics and has no tool support. We provide the first robustness-based quantitative semantics for SFO, enabling the expression and evaluation of rich real-time properties beyond the scope of existing formalisms such as Signal Temporal Logic. To enable online monitoring, we identify a past-time fragment of SFO and give a pastification procedure that transforms bounded-response SFO formulas into equisatisfiable formulas in this fragment. We then develop an efficient runtime monitoring algorithm for this past-time fragment and evaluate its performance on a set of benchmarks, demonstrating the practicality and effectiveness of our approach. To the best of our knowledge, this is the first publicly available prototype for online quantitative monitoring of full SFO.</abstract>

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    <url displayLabel="2026_LNCS_Chalupa.pdf">https://research-explorer.ista.ac.at/download/22006/22113/2026_LNCS_Chalupa.pdf</url>
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<originInfo><publisher>Springer Nature</publisher><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">Tokyo, Japan</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>Signal first-order logic</topic><topic>Robustness-based quantitative semantics</topic><topic>Online runtime monitoring</topic>
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<relatedItem type="host"><titleInfo><title>27th International Symposium on Formal Methods</title></titleInfo>
  <identifier type="issn">0302-9743</identifier>
  <identifier type="eIssn">1611-3349</identifier>
  <identifier type="isbn">9783032262196</identifier>
  <identifier type="arXiv">2603.00728</identifier><identifier type="doi">10.1007/978-3-032-26220-2_11</identifier>
<part><detail type="volume"><number>16557</number></detail><extent unit="pages">214-233</extent>
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<apa>Chalupa, M., Henzinger, T. A., Sarac, N. E., &amp;#38; Yu, E. (2026). Quantitative monitoring of Signal First-Order logic. In &lt;i&gt;27th International Symposium on Formal Methods&lt;/i&gt; (Vol. 16557, pp. 214–233). Tokyo, Japan: Springer Nature. &lt;a href=&quot;https://doi.org/10.1007/978-3-032-26220-2_11&quot;&gt;https://doi.org/10.1007/978-3-032-26220-2_11&lt;/a&gt;</apa>
<short>M. Chalupa, T.A. Henzinger, N.E. Sarac, E. Yu, in:, 27th International Symposium on Formal Methods, Springer Nature, 2026, pp. 214–233.</short>
<ista>Chalupa M, Henzinger TA, Sarac NE, Yu E. 2026. Quantitative monitoring of Signal First-Order logic. 27th International Symposium on Formal Methods. FM: Formal Methods, LNCS, vol. 16557, 214–233.</ista>
<chicago>Chalupa, Marek, Thomas A Henzinger, Naci E Sarac, and Emily Yu. “Quantitative Monitoring of Signal First-Order Logic.” In &lt;i&gt;27th International Symposium on Formal Methods&lt;/i&gt;, 16557:214–33. Springer Nature, 2026. &lt;a href=&quot;https://doi.org/10.1007/978-3-032-26220-2_11&quot;&gt;https://doi.org/10.1007/978-3-032-26220-2_11&lt;/a&gt;.</chicago>
<ama>Chalupa M, Henzinger TA, Sarac NE, Yu E. Quantitative monitoring of Signal First-Order logic. In: &lt;i&gt;27th International Symposium on Formal Methods&lt;/i&gt;. Vol 16557. Springer Nature; 2026:214-233. doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-032-26220-2_11&quot;&gt;10.1007/978-3-032-26220-2_11&lt;/a&gt;</ama>
<mla>Chalupa, Marek, et al. “Quantitative Monitoring of Signal First-Order Logic.” &lt;i&gt;27th International Symposium on Formal Methods&lt;/i&gt;, vol. 16557, Springer Nature, 2026, pp. 214–33, doi:&lt;a href=&quot;https://doi.org/10.1007/978-3-032-26220-2_11&quot;&gt;10.1007/978-3-032-26220-2_11&lt;/a&gt;.</mla>
<ieee>M. Chalupa, T. A. Henzinger, N. E. Sarac, and E. Yu, “Quantitative monitoring of Signal First-Order logic,” in &lt;i&gt;27th International Symposium on Formal Methods&lt;/i&gt;, Tokyo, Japan, 2026, vol. 16557, pp. 214–233.</ieee>
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