{"id":"https://openalex.org/W7164939761","doi":"https://doi.org/10.48550/arxiv.2606.16592","title":"Closure-Preserving Rate-Distortion for Reversible Logging","display_name":"Closure-Preserving Rate-Distortion for Reversible Logging","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164939761","doi":"https://doi.org/10.48550/arxiv.2606.16592"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2606.16592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138698967","display_name":"Jianfeng Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Jianfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5138698967"],"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/T11986","display_name":"Scientific Computing and Data Management","score":0.16169999539852142,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.16169999539852142,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.12120000272989273,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.06710000336170197,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/closure","display_name":"Closure (psychology)","score":0.6010000109672546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5702000260353088},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5486000180244446},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.527999997138977},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48080000281333923},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4471000134944916},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42260000109672546},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.4129999876022339}],"concepts":[{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.6010000109672546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5925999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5735999941825867},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5702000260353088},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.527999997138977},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4510999917984009},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42739999294281006},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C102944935","wikidata":"https://www.wikidata.org/wiki/Q4953701","display_name":"Bracketing (phenomenology)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35019999742507935},{"id":"https://openalex.org/C2781085045","wikidata":"https://www.wikidata.org/wiki/Q7318308","display_name":"Reversing","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.28220000863075256},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2606.16592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.45561859011650085}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,119],"study":[1],"semantic":[2,86],"compression":[3,157],"of":[4,44,112],"reversible-execution":[5],"evidence":[6],"for":[7,52],"rollback":[8,17,127],"reasoning.":[9],"A":[10,31,55],"run":[11],"is":[12,40,105,137],"a":[13,22,49,68,90,106,121,126],"finite":[14],"fact":[15,36],"base;":[16],"semantics":[18],"are":[19,82],"modeled":[20],"by":[21,27,37,76,94,110],"monotone":[23],"closure":[24],"operator":[25],"induced":[26,109],"function-free":[28],"Horn":[29],"rules.":[30],"single":[32],"edit":[33],"replaces":[34],"one":[35],"another;":[38],"fidelity":[39],"the":[41,45,60,66,77,85,95,102,117,146,177],"Jaccard":[42],"discrepancy":[43],"resulting":[46],"closures,":[47],"yielding":[48],"finite-alphabet":[50],"distortion":[51],"rate-distortion":[53,87],"analysis.":[54],"deterministic":[56],"deletion":[57],"scan":[58],"decomposes":[59],"log":[61,178],"into":[62],"an":[63],"irredundant":[64],"core--preserving":[65],"closure--and":[67],"redundant":[69,80],"remainder.":[70],"Under":[71],"admissible":[72],"reconstructions":[73],"(facts":[74],"entailed":[75],"original":[78],"log),":[79],"facts":[81],"distortion-invisible,":[83],"reducing":[84],"function":[88],"to":[89,163,172],"core-only":[91],"optimization":[92],"scaled":[93],"core":[96],"probability":[97],"mass.":[98],"At":[99],"zero":[100],"distortion,":[101],"optimal":[103],"rate":[104],"hypergraph":[107],"entropy":[108],"overlaps":[111],"zero-distortion":[113],"reconstruction":[114,171],"sets":[115],"on":[116,125,139],"core.":[118],"introduce":[120],"rollback-task":[122],"loss":[123],"based":[124],"observable,":[128],"deriving":[129],"parallel":[130],"endpoint":[131],"and":[132,143,156,168],"factorization":[133],"laws.":[134],"The":[135],"framework":[136],"instantiated":[138],"reversible":[140],"causal":[141],"nets":[142],"discussed":[144],"in":[145],"event-structure":[147],"view,":[148],"showing":[149],"how":[150],"reversing":[151],"disciplines":[152],"yield":[153],"different":[154],"cores":[155],"frontiers.":[158],"Numerical":[159],"evaluation":[160],"uses":[161],"Blahut-Arimoto":[162],"design":[164],"single-letter":[165],"test":[166],"channels":[167],"Monte":[169],"Carlo":[170],"assess":[173],"end-to-end":[174],"degradation":[175],"at":[176],"level.":[179]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}