{"id":"https://openalex.org/W7204168348","doi":"https://doi.org/10.5281/zenodo.22087020","title":"Conditionally Approved: Proof-Bound Branchable Universes for Long-Horizon AI Agents Under Changing Evidence, Authority, and Time","display_name":"Conditionally Approved: Proof-Bound Branchable Universes for Long-Horizon AI Agents Under Changing Evidence, Authority, and Time","publication_year":2026,"publication_date":"2026-08-24","ids":{"openalex":"https://openalex.org/W7204168348","doi":"https://doi.org/10.5281/zenodo.22087020"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22087020","doi":"https://doi.org/10.5281/zenodo.22087020","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22087020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22087020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148056394","display_name":"Rudy Celekli","orcid":"https://orcid.org/0009-0000-7043-3766","observed_orcids":["https://orcid.org/0009-0000-7043-3766"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Celekli, Rudy","raw_affiliation_strings":["Gradia"],"raw_orcid":"https://orcid.org/0009-0000-7043-3766","affiliations":[{"raw_affiliation_string":"Gradia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148056394"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.31150001287460327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.31150001287460327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.17399999499320984,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.08070000261068344,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.44200000166893005},{"id":"https://openalex.org/keywords/temporal-control","display_name":"temporal control","score":0.7070000171661377},{"id":"https://openalex.org/keywords/handover","display_name":"handover","score":0.5120000243186951},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.49399998784065247}],"concepts":[{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.6317999958992004},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6104000210762024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5554999709129333},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3734999895095825},{"id":"https://openalex.org/C43169469","wikidata":"https://www.wikidata.org/wiki/Q580922","display_name":"Preprint","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31769999861717224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C2780175911","wikidata":"https://www.wikidata.org/wiki/Q5013404","display_name":"CONQUEST","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25529998540878296},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25209999084472656},{"id":"https://openalex.org/C2776034101","wikidata":"https://www.wikidata.org/wiki/Q1509347","display_name":"Commission","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5281/zenodo.22087020","doi":"https://doi.org/10.5281/zenodo.22087020","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22087020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.22087021","doi":"https://doi.org/10.5281/zenodo.22087021","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22087021","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.22104672","doi":"https://doi.org/10.5281/zenodo.22104672","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22104672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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:10.5281/zenodo.22087020","doi":"https://doi.org/10.5281/zenodo.22087020","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22087020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":[],"sustainable_development_goals_aurora":[{"score":0.5297519564628601,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Preliminary-results":[0],"preprint":[1],"(17":[2],"pages)":[3],"and":[4,30,58,92,121,125,156],"a":[5,17,64],"snapshot":[6],"of":[7],"the":[8,97,160],"public":[9],"repository":[10],"at":[11],"commit":[12],"12250a9.":[13],"Conditionally":[14],"Approved":[15],"is":[16,104,110,129],"fully":[18],"synthetic,":[19],"proof-bound":[20],"benchmark":[21],"for":[22],"long-horizon":[23],"AI":[24],"agents":[25],"under":[26,37],"changing":[27],"evidence,":[28],"authority,":[29,43],"time:":[31],"five":[32],"task":[33],"editions":[34],"(document":[35],"truth":[36],"pushback,":[38],"epistemic":[39],"residue,":[40],"competing":[41],"legitimate":[42],"temporal":[44],"portfolio":[45],"control,":[46],"honest":[47],"handoff)":[48],"bound":[49],"to":[50],"frozen":[51],"task,":[52],"model,":[53],"runtime,":[54],"evaluator,":[55],"world-root,":[56],"projection,":[57],"restore-lineage":[59],"identities.":[60],"The":[61],"paper":[62],"reports":[63],"completed":[65],"cost-capped":[66],"live":[67],"execution":[68],"across":[69],"four":[70],"identity-pinned":[71],"frontier":[72],"providers:":[73],"55":[74],"physical":[75],"attempts,":[76],"37":[77],"gradable,":[78],"18":[79],"infrastructure":[80],"exclusions,":[81],"zero":[82],"perfect-rubric":[83],"completions,":[84],"$705.88":[85],"recorded":[86],"spend,":[87],"with":[88],"runtime-cohort":[89],"drift":[90],"detected":[91],"pooled":[93],"comparisons":[94],"refused":[95],"by":[96],"verifier.":[98],"A":[99],"redacted":[100],"55-row":[101],"evidence":[102],"index":[103],"committed":[105],"so":[106],"every":[107],"published":[108],"aggregate":[109],"independently":[111],"recomputable":[112],"(gradia-universe":[113],"cost-capped-verify);":[114],"raw":[115],"trajectories":[116],"remain":[117],"private":[118],"pending":[119],"rights":[120],"blinded":[122],"human":[123],"adjudication,":[124],"that":[126],"reconstruction":[127],"boundary":[128],"disclosed.":[130],"Machine-scored":[131],"criterion":[132],"surfaces":[133],"(1,375":[134],"assignments;":[135],"486":[136],"green":[137],"/":[138],"889":[139],"red)":[140],"are":[141],"reported":[142],"as":[143],"unresolved":[144],"observations,":[145],"not":[146],"model-attributed":[147],"failures.":[148],"Licensing:":[149],"manuscript":[150],"text":[151],"CC":[152],"BY":[153],"4.0;":[154],"code":[155],"synthetic":[157],"fixtures":[158],"in":[159],"archive":[161],"Apache-2.0.":[162],"Repository:":[163],"https://github.com/rudycelekli/gradia-universes-work-sample":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2026-08-26T00:00:00"}
