{"id":"https://openalex.org/W6930570836","doi":"https://doi.org/10.5281/zenodo.14582713","title":"CoRa Artifacts and Source Code","display_name":"CoRa Artifacts and Source Code","publication_year":2024,"publication_date":"2024-12-31","ids":{"openalex":"https://openalex.org/W6930570836","doi":"https://doi.org/10.5281/zenodo.14582713"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.14582713","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14582713","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,"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":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.14582713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"\u00c1lamos, Jos\u00e9","orcid":"https://orcid.org/0000-0001-5681-2591"},"institutions":[{"id":"https://openalex.org/I70451448","display_name":"HAW Hamburg","ror":"https://ror.org/00fkqwx76","country_code":"DE","type":"education","lineage":["https://openalex.org/I70451448"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"\u00c1lamos, Jos\u00e9","raw_affiliation_strings":["HAW Hamburg"],"affiliations":[{"raw_affiliation_string":"HAW Hamburg","institution_ids":["https://openalex.org/I70451448"]}]},{"author_position":"middle","author":{"id":null,"display_name":"W\u00e4hlisch, Matthias","orcid":"https://orcid.org/0000-0002-3825-2807"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"W\u00e4hlisch, Matthias","raw_affiliation_strings":["TU Dresden"],"affiliations":[{"raw_affiliation_string":"TU Dresden","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":null,"display_name":"Schmidt, Thomas C.","orcid":"https://orcid.org/0000-0002-0956-7885"},"institutions":[{"id":"https://openalex.org/I70451448","display_name":"HAW Hamburg","ror":"https://ror.org/00fkqwx76","country_code":"DE","type":"education","lineage":["https://openalex.org/I70451448"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Schmidt, Thomas C.","raw_affiliation_strings":["HAW Hamburg"],"affiliations":[{"raw_affiliation_string":"HAW Hamburg","institution_ids":["https://openalex.org/I70451448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70451448"],"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/sync","display_name":"sync","score":0.9434000253677368},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6460000276565552},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.492900013923645},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4846999943256378},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42879998683929443},{"id":"https://openalex.org/keywords/data-synchronization","display_name":"Data synchronization","score":0.3871999979019165},{"id":"https://openalex.org/keywords/frame-synchronization","display_name":"Frame synchronization","score":0.37070000171661377},{"id":"https://openalex.org/keywords/data-file","display_name":"Data file","score":0.3418999910354614}],"concepts":[{"id":"https://openalex.org/C3913047","wikidata":"https://www.wikidata.org/wiki/Q1956265","display_name":"sync","level":3,"score":0.9434000253677368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786899983882904},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6460000276565552},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4846999943256378},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C108734733","wikidata":"https://www.wikidata.org/wiki/Q1172333","display_name":"Data synchronization","level":3,"score":0.3871999979019165},{"id":"https://openalex.org/C178317062","wikidata":"https://www.wikidata.org/wiki/Q5477933","display_name":"Frame synchronization","level":4,"score":0.37070000171661377},{"id":"https://openalex.org/C171730128","wikidata":"https://www.wikidata.org/wiki/Q5227290","display_name":"Data file","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C162372511","wikidata":"https://www.wikidata.org/wiki/Q218341","display_name":"Checksum","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.14582713","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14582713","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,"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":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.14582713","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14582713","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,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"CoRa:":[0],"A":[1,18],"Collision-Resistant":[2,19],"LoRa":[3,20],"Symbol":[4,21],"Detector":[5,22],"of":[6,14,23,32,54,108],"Low":[7,24],"Complexity":[8],"This":[9],"repository":[10],"contains":[11],"the":[12,15,29,33,44,55,58,68,90,94,114,121,125,136,152,164,181,198,226,280,291,302],"artifacts":[13,49,95,101],"paper":[16,281],"\"CoRa:":[17],"Complexity\"":[25],"(INFOCOM":[26],"2025)":[27],"and":[28,37,124,144],"source":[30,38],"code":[31,39],"CoRa":[34,41,81,143,188,233],"pipeline.":[35],"Artifacts":[36],"Run":[40],"pipeline":[42,82,171,216,262],"Follow":[43],"instructions":[45],"under":[46,83],"`python/README.md`":[47],"Paper":[48],"To":[50,60],"generate":[51],"all":[52],"figures":[53],"paper,":[56],"run":[57,61],"`plot_all.py`.":[59],"it":[62],"insidean":[63],"isolated":[64],"Python":[65],"environment,":[66],"execute":[67],"following":[69,303],"commands:```python":[70],"-m":[71],"venv":[72],"venvsource":[73],"venv/bin/activatepip":[74],"install":[75],"-r":[76],"requirements.txtpython":[77],"plot_all.py```":[78],"Note:":[79],"The":[80,117,267,368,411],"`python/`":[84],"producesa":[85],"different":[86],"output":[87],"format":[88,119,289],"for":[89,135,142,151,158,163,169,180,187,192,197,204,209,214,225,232,237,242,248,253,260],"decoded":[91,122],"files":[92,96],"than":[93],"insidethe":[97],"`output`":[98],"folder.":[99],"Those":[100],"were":[102,285],"generated":[103],"with":[104,129,174,219],"an":[105],"older":[106],"version":[107],"theCoRa":[109],"pipeline,":[110],"which":[111],"only":[112],"stored":[113,275,377,422],"CRC_OK":[115,126],"variable.":[116,127],"newer":[118],"storesboth":[120],"payload":[123],"Results":[128,173,218],"CIC":[130,153,159,199,205,243,249,265,268,283],"Dataset":[131,176,266,367],"output/sync/:":[132],"Sync":[133,149,178,195,207,223,240,251],"data":[134,141,150,157,162,168,179,186,191,196,203,208,213,224,231,236,241,247,252,259],"TnB":[137,145,175,182,193,227,238,366,369],"synchronization":[138,154,183,200,228,244,255],"algorithmoutput/decoded/:":[139],"Decoded":[140,156,167,185,190,202,212,230,235,246,258],"(tnb_*.mat":[146],"files)":[147],"pipelinesoutput/CIC/sync/:":[148],"algorithmoutput/CIC/decode/CIC_dataset/:":[155],"pipelineoutput/baseline/CIC/sync:":[160],"Synchronization":[161],"baseline":[165,170,210,215,254,261],"(OpenLoRa)output/baseline/CIC/decoded:":[166],"(OpenLoRa)":[172,217,263],"output/TnB/sync/:":[177],"algorithmoutput/TnB/decode/:":[184],"pipelineoutput/TnB/decoded/:":[189],"pipelineoutput/CIC/tnb_sync/:":[194],"algorithmoutput/CIC/decode/TnB_dataset/:":[201],"pipelineoutput/baseline/sync:":[206],"(OpenLoRa)output/baseline/decoded:":[211],"ETU/Flat":[220,409,413],"simulations":[221],"output/sim/cora/sync/:":[222],"algorithmoutput/sim/cora/decoded/:":[229],"pipelineoutput/sim/TnB/decoded/:":[234],"pipelineoutput/sim/CIC/sync/:":[239],"algorithmoutput/sim/CIC/decoded/:":[245],"pipelineoutput/sim/baseline/sync/:":[250],"algorithm":[256],"(OpenLoRa)output/sim/baseline/decoded/:":[257],"Datasets":[264],"dataset":[269,370],"can":[270,371,416],"be":[271,372,417],"downloaded":[272,373,418],"fromhttps://uwprod-my.sharepoint.com/:f:/g/personal/mshahid2_wisc_edu/Es8DfWbahW1CpBdjv2uSdA8BdVTdkf0BblOOB472O8XtOQ.Captures":[273],"are":[274,376,421],"in":[276,378,423],"complex64":[277],"format.":[278,380,425],"For":[279],"results,":[282],"captures":[284,415],"converted":[286],"to":[287],"`complex32`":[288,379,424],"byusing":[290],"`dist/complex64_2_complex32.py`":[292],"script.":[293],"E.g```python":[294],"complex64_2_complex32.py":[295],"20tx_0.5lm1":[296],"20tx_0.5lm1.c32```":[297],"MD5":[298,381,426],"hash":[299,382,427],"`md5sum`":[300],"shows":[301],"hashes:```401ffb6173c7d4fa5774c18a44dc0fee":[304],"high_nlos_snr/20tx_0.25lm_1fa1f3f64c7a75898570815985a314fdf":[305],"high_nlos_snr/20tx_0.5lm_1b73081873509c19b02a03e312d1bdcfa":[306],"high_nlos_snr/20tx_0.75lm_1ba3412fde5c859156a5f096e1cd71ba8":[307],"high_nlos_snr/20tx_1.25lm_18c2e6f7ff83c9fc46545b350214979a5":[308],"high_nlos_snr/20tx_1.5lm_15c447fbbc2ab642d13cab916b57a6ebb":[309],"high_nlos_snr/20tx_1.75lm_1d7277d66e6b4de927fd319ee26db3ec5":[310],"high_nlos_snr/20tx_1lm_161a46858d690d2b253a9506a47ac8c0c":[311],"high_nlos_snr/20tx_2.25lm_18a6eb2e1c12ee501a5ffab99c97d950d":[312],"high_nlos_snr/20tx_2.5lm_1cfc4fb918d73fd8301ede49bb8707b26":[313],"high_nlos_snr/20tx_2.75lm_1d0b21bd5656eb117dd8cfb6e37144b72":[314],"high_nlos_snr/20tx_2lm_1b22f8583b1d005fd1f196fbc645b4ea1":[315],"high_nlos_snr/20tx_3.25lm_1e5c9d8e80b1bd3b5fadfe88021d9c655":[316],"high_nlos_snr/20tx_3.5lm_1fdcec34507d6ae5794a4bf9c9f26db36":[317],"high_nlos_snr/20tx_3.75lm_133486171908771f70a110d55f3cbe2b3":[318],"high_nlos_snr/20tx_3lm_1555a11d573fc6d2fc7d4c20f19a9df6c":[319],"high_nlos_snr/20tx_4.25lm_1fcc2a1eaa0e988fba80f1e27c4db79a9":[320],"high_nlos_snr/20tx_4.5lm_1743bdc8bf3503413b15c0b7886a1ff3d":[321],"high_nlos_snr/20tx_4.75lm_1ddaaac6d0dbffc8c0d9afd474992b801":[322],"high_nlos_snr/20tx_4lm_1dc576b879df73244c4c1da3109a21aee":[323],"high_nlos_snr/20tx_5lm_1b5d461b67b45fc27859f37754690472e":[324],"high_nlos_snr/20tx_6lm_14350362bb7df52a593963d1337b396d2":[325],"high_snr/20tx_0.25lm_132927147353a436d228a25148decc36b":[326],"high_snr/20tx_0.5lm_136dfce4d2275a83e2148765f82ec681c":[327],"high_snr/20tx_0.75lm_106ac8a08225e3eb4d38eaa2a7ac9336f":[328],"high_snr/20tx_1.25lm_1eab5204572615ecfcf0a347cdeba818c":[329],"high_snr/20tx_1.5lm_1f39cf444be2379d6e119fada5874920e":[330],"high_snr/20tx_1.75lm_18e64f7544b59e654a2f7f8102249f75e":[331],"high_snr/20tx_1lm_16c5c96ba91c9ce11498c4c77d7a7902b":[332],"high_snr/20tx_2.25lm_1462e5a4999b2cab663e388a070d12fa7":[333],"high_snr/20tx_2.5lm_1defcda60523d1d8d9d2714ed33ebc176":[334],"high_snr/20tx_2.75lm_127abcdf90a7af3c187dc6ec7ae8a8248":[335],"high_snr/20tx_2lm_12129ce6c8c78a9b15e7b4039adef3b88":[336],"high_snr/20tx_3.25lm_163b1ac6f929dcabe8b8ebd76794ea34d":[337],"high_snr/20tx_3.5lm_11fbc0360b83841a3dc9ca3ad2bf6f128":[338],"high_snr/20tx_3.75lm_140ab1ebc52b639a3e6b2161581562f2f":[339],"high_snr/20tx_3lm_1e55e921dcad5485fdf2eb2e2a64d271c":[340],"high_snr/20tx_4.25lm_1c27c69ae627f28152ee6ddef485b8a72":[341],"high_snr/20tx_4.5lm_155032f9fed03525cd33492e589e31af5":[342],"high_snr/20tx_4.75lm_198f3fffb0273fed2d2cd089cbb0d8d77":[343],"high_snr/20tx_4lm_105972bbb8f68aca2b845c3745d60f93a":[344],"high_snr/20tx_5lm_1948d864b2b05177d647b809dd2a12ba3":[345],"low_snr/20tx_0.5lm_140680a96b8a2bdc366bd6001313e98b6":[346],"low_snr/20tx_1.5lm_19a29fbbd8eb4e473629797c04be05090":[347],"low_snr/20tx_1lm_10670a8dbe31ea0b617e32497faef6219":[348],"low_snr/20tx_2.5lm_1204822653738d16053e016be402d1116":[349],"low_snr/20tx_2lm_1efbb46865bb27f231cbf464dacae4d41":[350],"low_snr/20tx_3.5lm_1dc6c22079cc9d3e851121aef24881899":[351],"low_snr/20tx_3lm_1de10d1d9c89ced76a51ac3275594b018":[352],"low_snr/20tx_4.5lm_1836ffa9ef351f8c17ef1baa1ac0f5456":[353],"low_snr/20tx_4lm_1a808f9737b2fa0208be921e5a5a70dd3":[354],"low_snr/20tx_5lm_1795eada729a70a4b0a48b348e017c26a":[355],"very_low_snr/20tx_0.5lm_13b8e3341189a77d5c76902dcf5f92712":[356],"very_low_snr/20tx_1.5lm_16fa00722ad24e2340321ea0bb60d08dd":[357],"very_low_snr/20tx_1lm_18ea2f0f2bd30e1e0dab30d1610c33265":[358],"very_low_snr/20tx_2.5lm_1309ed78ddb46a1020bad5b97d2edeacc":[359],"very_low_snr/20tx_2lm_18e66eada7f5f121e9bd5c0c389f903bf":[360],"very_low_snr/20tx_3.5lm_109d7be32e97aa08b671708dd1d163d8c":[361],"very_low_snr/20tx_3lm_14e54a2b00d269bab478a4c070cad4c0b":[362],"very_low_snr/20tx_4.5lm_11996a1391a9d1f7492fd43f9f64f7fd7":[363],"very_low_snr/20tx_4lm_1def0d1f9a2a0a677349ba28a4caea528":[364],"very_low_snr/20tx_5lm_1```":[365],"from":[374],"https://zenodo.org/records/7199527.Captures":[375],"```c5a7cf50e2842ecacd0d8b4105f951ce":[383],"TnB_data/indoor-SF10-CR1437ec198d39c5867c93c5774ac5aad3b":[384],"TnB_data/indoor-SF10-CR22cfb644f40bf1673f5d6ad029989671b":[385],"TnB_data/indoor-SF10-CR38d054b52669fac584b943a22e52004bc":[386],"TnB_data/indoor-SF10-CR46356d868e82606d18ab2e64a713a40e7":[387],"TnB_data/indoor-SF8-CR10f9871d3d63285d47c3547ea29998a17":[388],"TnB_data/indoor-SF8-CR239f09c391c4925b672aa58a417f43039":[389],"TnB_data/indoor-SF8-CR3a08d2a2beb063f73a595fc097ab8d7a5":[390],"TnB_data/indoor-SF8-CR48b73ac881545d44ae02c36db273db95f":[391],"TnB_data/outdoor1-SF10-CR17d3623c34cda2293791b722116a288dd":[392],"TnB_data/outdoor1-SF10-CR2397377d29f5b46bab28de3f0e72f0e35":[393],"TnB_data/outdoor1-SF10-CR388fa3dd91e580360a30767309c545c76":[394],"TnB_data/outdoor1-SF10-CR41149dfc253bc28e7588b97f7a255cf8a":[395],"TnB_data/outdoor1-SF8-CR1e521ba870bfe42604f89f8c526247a2d":[396],"TnB_data/outdoor1-SF8-CR2f341ed6ab7be29c94933808cbbb4d6ec":[397],"TnB_data/outdoor1-SF8-CR355d8e4d2045125a3dae396959445666e":[398],"TnB_data/outdoor1-SF8-CR46b44265321f5d182e432f06e3ab99937":[399],"TnB_data/outdoor2-SF10-CR17788c915c997b95720f4c4ba39d9e09b":[400],"TnB_data/outdoor2-SF10-CR2a7bc10784840a714b2b08efddee39b8a":[401],"TnB_data/outdoor2-SF10-CR3dcc44f80f529e7d044119bb04cc205e2":[402],"TnB_data/outdoor2-SF10-CR42e7220641e1575fed33016296174ea7c":[403],"TnB_data/outdoor2-SF8-CR1cf91ff39c312e1abbcd105593ae0ee16":[404],"TnB_data/outdoor2-SF8-CR22d3ff96674d892a976c000e83f7ae896":[405],"TnB_data/outdoor2-SF8-CR37109408ab8c4d8a26a5cb6e2ecd95ebd":[406],"TnB_data/outdoor2-SF8-CR4```":[407],"Simulated":[408],"channel":[410,414],"simulated":[412],"fromhttps://zenodo.org/records/14514691.":[419],"Captures":[420],"```0d20940b5692ecc5ddb2499dc68963e5":[428],"sim/flat_sf10_cr1e6cf0604e6cbd057fbf7240d6b8d7a03":[429],"sim/flat_sf10_cr4a614b71561b71c776697725bb19fb248":[430],"sim/flat_sf8_cr12954e522784f3b29fac7054da0ec9243":[431],"sim/flat_sf8_cr441170bbf5ca73779bfc9034760c6e06c":[432],"sim/sf10_cr1582c2a992a16017c12f6eed172f4b7ec":[433],"sim/sf10_cr46fd8ec565d6c8bcb1bdb384b038b4e1e":[434],"sim/sf8_cr150573fd23549a8a1370f1f9d339bfefc":[435],"sim/sf8_cr4```":[436]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}