{"id":"https://openalex.org/W7204201535","doi":"https://doi.org/10.5281/zenodo.22100919","title":"Selective Context Under a Claim-Scoped Evidence Contract: A Synthetic Runtime Characterization of Token-Bleed R5","display_name":"Selective Context Under a Claim-Scoped Evidence Contract: A Synthetic Runtime Characterization of Token-Bleed R5","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204201535","doi":"https://doi.org/10.5281/zenodo.22100919"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22100919","doi":"https://doi.org/10.5281/zenodo.22100919","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22100919","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.22100919","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134696702","display_name":"Michael K. Saleme","orcid":"https://orcid.org/0009-0003-6736-1900","observed_orcids":["https://orcid.org/0009-0003-6736-1900"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Saleme, Michael K.","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0003-6736-1900","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5134696702"],"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/T10028","display_name":"Topic Modeling","score":0.7221999764442444,"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/T10028","display_name":"Topic Modeling","score":0.7221999764442444,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.053300000727176666,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.03370000049471855,"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/prompt-engineering","display_name":"prompt engineering","score":0.4790000021457672},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.6060000061988831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922000050544739},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6703000068664551},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5058000087738037},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.42969998717308044},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3734000027179718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3411000072956085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C43169469","wikidata":"https://www.wikidata.org/wiki/Q580922","display_name":"Preprint","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2599000036716461}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22100919","doi":"https://doi.org/10.5281/zenodo.22100919","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22100919","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.22100920","doi":"https://doi.org/10.5281/zenodo.22100920","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22100920","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.22100919","doi":"https://doi.org/10.5281/zenodo.22100919","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22100919","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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"technical":[1],"preprint":[2],"reports":[3],"Token-Bleed":[4],"R5,":[5],"a":[6,20,26,33],"synthetic":[7],"runtime":[8],"characterization":[9],"on":[10],"one":[11],"named":[12],"local":[13],"endpoint.":[14],"It":[15,62],"compares":[16],"raw":[17,127],"full-context":[18],"stuffing,":[19],"bundled":[21,43,84],"compact":[22],"candidate-context":[23],"route,":[24],"and":[25,53,82,90,122],"deliberately":[27],"name-only":[28],"lexical":[29,74],"negative":[30,75],"control":[31],"across":[32],"frozen":[34,115],"20-seed":[35],"configuration.":[36],"At":[37],"zero":[38],"injected":[39],"candidate-generator":[40],"misses,":[41],"the":[42,66,73,83,114],"route":[44,85],"used":[45],"96.9%":[46],"to":[47],"97.9%":[48],"fewer":[49],"mean":[50,56],"prompt":[51],"tokens":[52],"achieved":[54],"higher":[55],"F1":[57],"than":[58],"verbose":[59],"full":[60],"context.":[61],"did":[63],"not":[64,94],"meet":[65],"separately":[67],"prespecified":[68],"3x":[69],"prompt-token-ratio":[70],"rule":[71],"versus":[72],"control.":[76],"The":[77,104,125],"candidate":[78],"generator":[79],"is":[80,139],"oracle-controlled,":[81],"changes":[86],"both":[87],"context":[88],"membership":[89],"representation.":[91],"These":[92],"are":[93],"production,":[95],"customer-data,":[96],"ROI,":[97],"cross-model,":[98],"retrieval-performance,":[99],"or":[100],"universal":[101],"economic":[102],"claims.":[103],"deposited":[105],"files":[106],"form":[107],"an":[108],"auditable":[109],"derived-evidence":[110],"package:":[111],"they":[112],"retain":[113],"contract,":[116],"privacy-safe":[117],"derived":[118],"evidence,":[119],"paired":[120],"statistics,":[121],"claim-scoped":[123],"decisions.":[124],"original":[126],"report":[128],"remains":[129],"private":[130],"because":[131],"it":[132],"contains":[133],"host-identifying":[134],"provenance;":[135],"its":[136],"SHA-256":[137],"commitment":[138],"retained":[140],"only":[141],"for":[142],"chain":[143],"of":[144],"custody.":[145]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2026-08-26T00:00:00"}