{"id":"https://openalex.org/W7167071603","doi":"https://doi.org/10.48550/arxiv.2607.00378","title":"Radial Interaction Tomography: Recognizing Non-Transitive Evolutionary Games from One Range-Expansion Image","display_name":"Radial Interaction Tomography: Recognizing Non-Transitive Evolutionary Games from One Range-Expansion Image","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167071603","doi":"https://doi.org/10.48550/arxiv.2607.00378"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.00378","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139887613","display_name":"Faruk Alpay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alpay, Faruk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139860141","display_name":"Baris Basaran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basaran, Baris","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.2680000066757202,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.2680000066757202,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.05889999866485596,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.03739999979734421,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5843999981880188},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.4440000057220459},{"id":"https://openalex.org/keywords/spanning-tree","display_name":"Spanning tree","score":0.43939998745918274},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.35190001130104065},{"id":"https://openalex.org/keywords/chaining","display_name":"Chaining","score":0.35120001435279846},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3395000100135803},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.32739999890327454},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3244999945163727}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6241000294685364},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41019999980926514},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28850001096725464},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C95611797","wikidata":"https://www.wikidata.org/wiki/Q17502105","display_name":"Infimum and supremum","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.00378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Colored":[0],"sectors":[1],"in":[2,58,124],"a":[3,15,43,51,108,125,137,153],"microbial":[4],"range":[5],"expansion":[6],"encode":[7],"more":[8],"than":[9],"lineage":[10],"survival":[11],"counts.":[12],"We":[13,61],"formulate":[14],"computer-vision":[16],"inverse":[17],"problem:":[18],"from":[19,55,118],"one":[20],"endpoint":[21,63,93,119],"image":[22],"of":[23],"an":[24],"accretive":[25],"multi-type":[26],"expansion,":[27,128],"recover":[28],"the":[29,37],"radius-indexed":[30],"pairwise":[31,115],"boundary-flow":[32],"field":[33],"and":[34,65,77,84,107,129,152],"test":[35],"whether":[36],"visual":[38],"pattern":[39],"is":[40,50,90],"compatible":[41],"with":[42],"transitive":[44],"scalar":[45],"fitness":[46],"hierarchy.":[47],"The":[48,88,112],"observable":[49],"geometric":[52],"signal":[53],"extracted":[54],"sector-boundary":[56],"curves":[57],"log-polar":[59],"coordinates.":[60],"prove":[62],"observability":[64],"stability":[66],"for":[67,136],"frozen":[68],"fronts,":[69],"weighted":[70],"transitive/cyclic":[71],"decomposition,":[72],"contact-complete":[73],"circular":[74],"design,":[75],"physical-clock":[76],"mechanism":[78],"non-identifiability,":[79],"exact":[80],"Gaussian":[81],"cyclicity":[82],"testing,":[83],"Bonferroni-valid":[85],"interval":[86],"scanning.":[87],"benchmark":[89],"deterministic:":[91],"analytic":[92],"images,":[94,120],"blurred/noisy":[95],"pixel":[96],"round":[97],"trips,":[98],"scalar-null":[99],"stress":[100],"tests,":[101],"public-image":[102],"tracing,":[103],"multi-resolution":[104],"mechanistic":[105,126],"endpoints,":[106],"non-learning":[109],"frozen-front":[110],"simulator.":[111],"implementation":[113],"recovers":[114],"edge-flow":[116],"histories":[117],"detects":[121],"cyclic":[122],"residuals":[123,132],"four-type":[127],"uses":[130],"those":[131],"as":[133],"forcing":[134],"signals":[135],"dimensionless":[138],"active":[139],"design-control":[140],"layer":[141],"covering":[142],"reaction-diffusion":[143],"control,":[144],"phenotype-frontier":[145],"optimization,":[146],"protocol":[147],"synthesis,":[148],"Monte":[149],"Carlo":[150],"robustness,":[151],"downstream":[154],"population-state":[155],"bridge.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}