[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_189":190,"_191":192},"routes/_app.x.$handle.$name",{"_93":92,"_31":43,"_102":83,"_26":103,"_13":14,"_104":-5,"_11":105,"_106":107,"_108":109,"_110":111,"_112":113,"_20":-5,"_114":-5,"_115":-5,"_116":24,"_117":118,"_119":24,"_120":-5,"_121":-5,"_122":123},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":-5,"_55":24,"_56":-5,"_57":-5,"_58":59,"_60":61,"_62":-5,"_63":-5,"_64":-5,"_65":-5,"_66":67,"_68":67,"_69":70,"_71":70,"_72":70,"_73":67,"_74":67,"_75":76,"_77":78,"_79":80,"_81":24},"version",15,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":27,"_32":33,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path","production_engine.ts","latestPath","fileId","7af3ddec-a407-11f1-8cb3-1607ee4eb77e","name","fileType","script","content","import { blake2b } from \"npm:blakejs\";\nexport type P={id:string,account:string,text:string,t:number|null,url:string|null,label?:number,campaign?:string};\nconst URL_RE=/https?:\\/\\/[^\\s)\\]}>\"']+/giu;\nconst WORD_RE=/[\\p{L}\\p{N}_]+/gu;\nconst TE=new TextEncoder();\nexport function normalizeText(text:string){return ((text||\"\").toLowerCase().replace(URL_RE,\" URL \").match(WORD_RE)||[]).join(\" \")}\nexport function tokenSet(text:string){return new Set(((text||\"\").toLowerCase().match(WORD_RE)||[]))}\nexport function jaccard(A:Set,B:Set){if(!A.size&&!B.size)return 1;if(!A.size||!B.size)return 0;let x=0;for(const t of A)if(B.has(t))x++;return x/(A.size+B.size-x)}\nexport function extractUrls(text:string,explicit:string|null){const m=[...((text||\"\").match(URL_RE)||[])];if(explicit)m.push(String(explicit));return m}\nfunction codepoints(s:string){return Array.from(s)}\nfunction shingles(text:string,k=5){const c=codepoints(text.trim().replace(/\\s+/g,\" \"));if(c.length<=k)return c.length?[c.join(\"\")]:[];const out:string[]=[];for(let i=0;i<=c.length-k;i++)out.push(c.slice(i,i+k).join(\"\"));return out}\nfunction u64be(bytes:Uint8Array){let v=0n;for(const b of bytes)v=(v<<8n)+BigInt(b);return v}\nexport function minhashSignature(text:string){const sh=shingles(text);if(!sh.length)return [] as string[];return [\"0\",\"1\",\"2\",\"3\"].map(seed=>{let best:bigint|null=null;for(const x of sh){const v=u64be(blake2b(TE.encode(seed+x),undefined,8));if(best===null||v,ids:number[],cap=128){if(ids.length<2)return;if(ids.length>cap){const root=ids[0];for(const j of ids.slice(1))pairs.add(pairKey(root,j))}else for(let a=0;anormalizeText(p.text)),tok=norms.map(tokenSet),df=new Map();for(const ss of tok)for(const t of ss)df.set(t,(df.get(t)||0)+1);const maxDf=Math.max(3,Math.floor(posts.length*maxDfRatio)),pairs=new Set(),inv=new Map();for(let i=0;i1&&d<=maxDf){if(!inv.has(t))inv.set(t,[]);inv.get(t)!.push(i)}}for(const ids of inv.values())if(ids.length<=128)addBucketPairs(pairs,ids,128);const bands=new Map();for(let i=0;i();for(let i=0;ik.split(\",\").map(Number) as [number,number]);arr.sort((a,b)=>a[0]-b[0]||a[1]-b[1]);return{pairs:arr,norms}}\nclass DSU{p:number[];r:number[];constructor(n:number){this.p=Array.from({length:n},(_,i)=>i);this.r=Array(n).fill(0)}find(x:number){while(this.p[x]!==x){this.p[x]=this.p[this.p[x]];x=this.p[x]}return x}union(a:number,b:number){a=this.find(a);b=this.find(b);if(a===b)return;if(this.r[a]0?100*(1-Math.exp(-count/k)):0}\nexport function analyzeProduction(posts:P[],syncWindow=120,simThreshold=.82,longitudinalWindow=21600){const {pairs,norms}=candidatePairs(posts);const toks=norms.map(tokenSet),urlSets=posts.map(p=>new Set(extractUrls(p.text,p.url))),duplicate:any[]=[],dsu=new DSU(posts.length);for(const [i,j] of pairs){if(posts[i].account===posts[j].account)continue;const sim=norms[i]===norms[j]?1:jaccard(toks[i],toks[j]);if(sim>=simThreshold&&Math.min(codepoints(norms[i]).length,codepoints(norms[j]).length)>=20){duplicate.push([i,j,sim]);dsu.union(i,j)}}const clusters=new Map();for(let i=0;inew Set(ids.map(i=>posts[i].account)).size>=2);const timed=posts.map((p,i)=>[i,p] as [number,P]).filter(([,p])=>p.t!==null).sort((a,b)=>(a[1].t as number)-(b[1].t as number));const sync:any[]=[];let left=0;for(let right=0;rightsyncWindow)left++;for(let k=left;k=simThreshold)sync.push([ia,ib,(b.t as number)-(a.t as number),sim,same?\"same_url\":\"similar_text\"])}}const by=new Map();const get=(a:string)=>{if(!by.has(a))by.set(a,{post_count:0,repetition_edge_count:0,sync_hit_count:0,media_edge_count:0,coordination_group_count:0,coordinated_windows:new Set()});return by.get(a)};for(const p of posts)if(p.account!==\"unknown\")get(p.account).post_count++;for(const [i,j] of duplicate)for(const a of [posts[i].account,posts[j].account])if(a!==\"unknown\")get(a).repetition_edge_count++;for(const [i,j] of sync)for(const a of [posts[i].account,posts[j].account])if(a!==\"unknown\")get(a).sync_hit_count++;for(const ids of groups){const accts=new Set(ids.map(i=>posts[i].account).filter(a=>a!==\"unknown\"));if(accts.size<2)continue;const windows=new Map>();for(const i of ids){const p=posts[i];if(p.t!==null&&p.account!==\"unknown\"){const w=Math.floor((p.t as number)/longitudinalWindow);if(!windows.has(w))windows.set(w,new Set());windows.get(w)!.add(p.account)}}const valid=[...windows.entries()].filter(([,a])=>a.size>=2).map(([w])=>w);for(const a of accts){const d=get(a);d.coordination_group_count++;for(const w of valid)if(windows.get(w)!.has(a))d.coordinated_windows.add(w)}}const accountReview:any[]=[];for(const [account,d] of [...by.entries()].sort((a,b)=>a[0].localeCompare(b[0]))){const windows=d.coordinated_windows.size,components={repetition:sat(d.repetition_edge_count,2),synchronization:sat(d.sync_hit_count,2),media_reuse:0,longitudinal:clamp(100*Math.max(0,windows-1)/3),group_participation:clamp(100*d.coordination_group_count/3)};const score=Math.round((.30*components.repetition+.30*components.synchronization+.15*components.media_reuse+.15*components.longitudinal+.10*components.group_participation)*10)/10;accountReview.push({account_id:account,review_score:score,post_count:d.post_count,repetition_edge_count:d.repetition_edge_count,sync_hit_count:d.sync_hit_count,media_edge_count:0,coordination_group_count:d.coordination_group_count,coordinated_window_count:windows,components:Object.fromEntries(Object.entries(components).map(([k,v])=>[k,Math.round((v as number)*10)/10]))})}return{candidate_pair_count:pairs.length,duplicate_pairs:duplicate,sync_hits:sync,coordination_groups:groups,account_review:accountReview}}\n","createdAt",["D",1788048745956],"branchVersion","branchId","7a977325-5523-41d5-a402-9b80aef3f988","id","b1e371df-d8a4-4440-b746-e6e1cb82335e","cognitive-influence-shield-v7-benchmark",["D",1788046289516],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","V7 open IO benchmark and conformance runner","imageUrl","d3788f19-13c5-4356-87e8-dce639626bb9","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","01a04116-f28c-754c-9173-77bf5814fcd6","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_93":92,"_101":97},"org",{"_93":92,"_94":95,"_96":97,"_18":53,"_98":99,"_100":24},"branch",{"_13":82,"_31":83,"_41":40,"_84":42,"_85":-5,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":43,"_91":92},"isOwned",35,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","sebas1","handle","displayName","sebas","avatar","https://lh3.googleusercontent.com/a/ACg8ocJaC6uiXPmN9dvgA2XcSlzBSkPJO0GN5zKzPm3a8cbjmXC9HYA=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_41":42,"_31":43,"_36":185,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":-5,"_55":24,"_56":-5,"_57":-5,"_58":59,"_60":61,"_62":-5,"_63":-5,"_64":-5,"_65":-5,"_66":67,"_68":67,"_69":70,"_71":70,"_72":70,"_73":67,"_74":67,"_75":186,"_77":187,"_79":188,"_81":24},"tree",[168,169,170,171],"files",[168,169,170,171],"counts",{"_158":59,"_159":135,"_160":59,"_161":162,"_163":164},"contents",[124,125,126,127],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_41":150,"_31":151,"_29":152,"_131":-5,"_39":40,"_38":153,"_133":24,"_36":154,"_13":155,"_32":33,"_34":156,"_23":24,"_137":-5,"_26":157},{"_41":143,"_31":144,"_29":145,"_131":-5,"_39":40,"_38":146,"_133":140,"_36":147,"_13":59,"_32":33,"_34":148,"_23":24,"_137":-5,"_26":149},{"_41":139,"_31":27,"_29":30,"_131":-5,"_39":40,"_38":14,"_133":140,"_36":141,"_13":59,"_32":33,"_34":35,"_23":24,"_137":-5,"_26":142},{"_41":128,"_31":129,"_29":130,"_131":-5,"_39":40,"_38":132,"_133":24,"_36":134,"_13":135,"_32":33,"_34":136,"_23":24,"_137":-5,"_26":138},"3e18f42e-d69e-4316-93c9-9ecbe56f5969","sample_honduras.ts","4bef66e2-a402-11f1-ba42-1607ee4eb77e","parentId",13,"latest",["D",1788048717175],1,"const SOURCES = [\n {label: 1, control: false, name: \"honduras-bad-anonymized\", url: \"https://zenodo.org/records/13912659/files/honduras-bad-anonymized?download=1\"},\n {label: 0, control: true, name: \"honduras-good-anonymized\", url: \"https://zenodo.org/records/13912659/files/honduras-good-anonymized?download=1\"},\n];\nconst WINDOWS = 16;\nconst WINDOW_BYTES = 131072;\nconst TARGET_ACCOUNTS = 80;\nconst MAX_POSTS_PER_ACCOUNT = 10;\nfunction fnv1a(s: string): number { let h=0x811c9dc5; for(let i=0;i>>0;} return h>>>0; }\nfunction firstUrl(v: unknown): string|null {\n if (Array.isArray(v)) return v.length ? String(v[0]) : null;\n const s=String(v??\"\").trim(); if(!s) return null;\n try { const j=JSON.parse(s); if(Array.isArray(j)&&j.length) return String(j[0]); } catch {}\n const m=s.match(/https?:\\/\\/[^\\s'\\\",\\]]+/); return m?m[0]:null;\n}\nasync function totalSize(url:string):Promise{\n const r=await fetch(url,{headers:{range:\"bytes=0-0\"}}); const cr=r.headers.get(\"content-range\")||\"\";\n const m=cr.match(/\\/(\\d+)$/); await r.arrayBuffer(); if(!m) throw new Error(\"missing total\"); return Number(m[1]);\n}\nasync function readWindow(url:string,start:number,total:number):Promise{\n const end=Math.min(total-1,start+WINDOW_BYTES-1); const r=await fetch(url,{headers:{range:`bytes=${start}-${end}`}});\n if(r.status!==206) throw new Error(`range status ${r.status}`);\n let txt=await r.text(); if(start>0){const nl=txt.indexOf(\"\\n\");txt=nl>=0?txt.slice(nl+1):\"\";}\n if(end=0?txt.slice(0,nl):\"\";} return txt.split(\"\\n\").filter(Boolean);\n}\nasync function sampleSource(src:any){\n const total=await totalSize(src.url); const starts:number[]=[]; const maxStart=Math.max(0,total-WINDOW_BYTES);\n for(let i=0;ireadWindow(src.url,s,total)));\n const byAccount=new Map(); const seenPosts=new Set(); let parseErrors=0;\n for(const lines of chunks) for(const line of lines){let x:any;try{x=JSON.parse(line.replace(/\\\"tweetid\\\":(\\d+)/g,'\\\"tweetid\\\":\\\"$1\\\"').replace(/\\\"userid\\\":(\\d+)/g,'\\\"userid\\\":\\\"$1\\\"'))}catch{parseErrors++;continue}\n const id=String(x.tweetid??\"\"), account=String(x.userid??\"\"); if(!id||!account||seenPosts.has(id)) continue; seenPosts.add(id);\n const good=Number(x.good); if((src.control&&good!==1)||(!src.control&&good!==0)) continue;\n let arr=byAccount.get(account); if(!arr){arr=[];byAccount.set(account,arr)} if(arr.length>=MAX_POSTS_PER_ACCOUNT) continue;\n arr.push({tweetid:id,userid:account,tweet_text:String(x.tweet_text??\"\"),tweet_time:Number(x.tweet_time),urls:firstUrl(x.urls),\n like_count:Number(x.like_count??0),retweet_count:Number(x.retweet_count??0),follower_count:Number(x.follower_count??0),good});\n }\n const eligible=[...byAccount.entries()].filter(([,v])=>v.length>=2); eligible.sort((a,b)=>fnv1a(a[0])-fnv1a(b[0])||a[0].localeCompare(b[0]));\n const chosen=eligible.slice(0,TARGET_ACCOUNTS);\n return {name:src.name,url:src.url,totalBytes:total,starts,parseErrors,observedPosts:seenPosts.size,observedAccounts:byAccount.size,\n eligibleAccounts:eligible.length,selectedAccounts:chosen.length,records:chosen.flatMap(([,v])=>v)};\n}\nasync function gzipBase64(text:string):Promise{\n const input=new Blob([new TextEncoder().encode(text)]).stream(); const compressed=input.pipeThrough(new CompressionStream(\"gzip\"));\n const bytes=new Uint8Array(await new Response(compressed).arrayBuffer()); let out=\"\"; const step=0x8000;\n for(let i=0;ix.records);\nconst jsonl=records.map(x=>JSON.stringify(x)).join(\"\\n\")+\"\\n\"; const b64=await gzipBase64(jsonl);\nconst meta={dataset:\"Cima et al. 2024 Honduras open IO dataset\",doi:\"10.5281/zenodo.13912659\",\n samplingDesign:\"SYSTEMATIC_EQUAL_BYTE_WINDOWS_THEN_DETERMINISTIC_ACCOUNT_HASH\",windows:WINDOWS,windowBytes:WINDOW_BYTES,\n targetAccountsPerClass:TARGET_ACCOUNTS,maxPostsPerAccount:MAX_POSTS_PER_ACCOUNT,records:records.length,\n bySource:sampled.map(({records:_r,...m})=>m),gzipBase64Chars:b64.length};\nconsole.log(\"META:\"+JSON.stringify(meta)); const CHUNK=45000; for(let i=0,n=0;i{let best:bigint|null=null;for(const x of sh){const data=TE.encode(seed+x);const h=blake2b(data,undefined,8);const v=u64be(h);if(best===null||v({s,expected:[...expected],got:sig(s),pass:JSON.stringify(sig(s))===JSON.stringify(expected)}));\nconsole.log(JSON.stringify({primitive:\"python hashlib.blake2b(...,digest_size=8) equivalence\",got,all_pass:got.every(x=>x.pass)}));",[144],"161f70d8-df6d-43e8-aba4-66e6aeb98847","evaluate_honduras_reference.ts","b951a3da-a402-11f1-ba65-1607ee4eb77e",14,["D",1788048720020],3,"// External-open-data smoke evaluator for Cognitive Influence Shield V6.\nconst SOURCES=[{control:false,name:\"honduras-bad-anonymized\",url:\"https://zenodo.org/records/13912659/files/honduras-bad-anonymized?download=1\"},{control:true,name:\"honduras-good-anonymized\",url:\"https://zenodo.org/records/13912659/files/honduras-good-anonymized?download=1\"}];\nconst WINDOWS=16,WINDOW_BYTES=131072,TARGET_ACCOUNTS=80,MAX_POSTS_PER_ACCOUNT=10,SYNC_WINDOW=120,SIM_THRESHOLD=.82,LONG_WINDOW=21600,CAL_FRACTION=.4,SEED=\"cis-v6-honduras-smoke\";\ntype P={id:string,account:string,text:string,t:number,url:string|null,label:number};\nfunction fnv1a(s:string){let h=0x811c9dc5;for(let i=0;i>>0}return h>>>0}\nfunction firstUrl(v:any):string|null{if(Array.isArray(v))return v.length?String(v[0]):null;const s=String(v??\"\").trim();if(!s)return null;try{const j=JSON.parse(s);if(Array.isArray(j)&&j.length)return String(j[0])}catch{}const m=s.match(/https?:\\/\\/[^\\s'\\\",\\]]+/);return m?m[0]:null}\nasync function totalSize(url:string){const r=await fetch(url,{headers:{range:\"bytes=0-0\"}});const m=(r.headers.get(\"content-range\")||\"\").match(/\\/(\\d+)$/);await r.arrayBuffer();if(!m)throw Error(\"no total\");return Number(m[1])}\nasync function readWindow(url:string,start:number,total:number){const end=Math.min(total-1,start+WINDOW_BYTES-1);const r=await fetch(url,{headers:{range:`bytes=${start}-${end}`}});if(r.status!==206)throw Error(`range ${r.status}`);let txt=await r.text();if(start>0){const n=txt.indexOf(\"\\n\");txt=n>=0?txt.slice(n+1):\"\"}if(end=0?txt.slice(0,n):\"\"}return txt.split(\"\\n\").filter(Boolean)}\nasync function sampleSource(src:any){const total=await totalSize(src.url);const maxStart=Math.max(0,total-WINDOW_BYTES);const starts=Array.from({length:WINDOWS},(_,i)=>Math.floor(i*maxStart/(WINDOWS-1)));const chunks=await Promise.all(starts.map(s=>readWindow(src.url,s,total)));const by=new Map(),seen=new Set();let parseErrors=0;for(const ls of chunks)for(const line of ls){let x:any;try{x=JSON.parse(line.replace(/\\\"tweetid\\\":(\\d+)/g,'\\\"tweetid\\\":\\\"$1\\\"').replace(/\\\"userid\\\":(\\d+)/g,'\\\"userid\\\":\\\"$1\\\"'))}catch{parseErrors++;continue}const id=String(x.tweetid??\"\"),a=String(x.userid??\"\");if(!id||!a||seen.has(id))continue;seen.add(id);const good=Number(x.good);if((src.control&&good!==1)||(!src.control&&good!==0))continue;let arr=by.get(a);if(!arr){arr=[];by.set(a,arr)}if(arr.length>=MAX_POSTS_PER_ACCOUNT)continue;arr.push({id,account:a,text:String(x.tweet_text??\"\"),t:Number(x.tweet_time)/1000,url:firstUrl(x.urls),label:src.control?0:1})}const eligible=[...by.entries()].filter(([,v])=>v.length>=2);eligible.sort((a,b)=>fnv1a(a[0])-fnv1a(b[0])||a[0].localeCompare(b[0]));const chosen=eligible.slice(0,TARGET_ACCOUNTS);return{meta:{name:src.name,totalBytes:total,starts,parseErrors,observedPosts:seen.size,observedAccounts:by.size,eligibleAccounts:eligible.length,selectedAccounts:chosen.length},posts:chosen.flatMap(([,v])=>v)}}\nconst urlRe=/https?:\\/\\/[^\\s)\\]}>\"']+/giu,wordRe=/[\\p{L}\\p{N}_]+/gu;\nfunction norm(s:string){return((s||\"\").toLowerCase().replace(urlRe,\" URL \").match(wordRe)||[]).join(\" \")}\nfunction toks(s:string){return new Set((s.toLowerCase().match(wordRe)||[]))}\nfunction jac(A:Set,B:Set){if(!A.size&&!B.size)return 1;if(!A.size||!B.size)return 0;let inter=0;for(const x of A)if(B.has(x))inter++;return inter/(A.size+B.size-inter)}\nclass DSU{p:number[];r:number[];constructor(n:number){this.p=Array.from({length:n},(_,i)=>i);this.r=Array(n).fill(0)}find(x:number){while(this.p[x]!==x){this.p[x]=this.p[this.p[x]];x=this.p[x]}return x}union(a:number,b:number){a=this.find(a);b=this.find(b);if(a===b)return;if(this.r[a]norm(p.text)),ts=norms.map(toks),dup:any[]=[],sync:any[]=[],dsu=new DSU(n);for(let i=0;i=SIM_THRESHOLD&&Math.min(norms[i].length,norms[j].length)>=20){dup.push([i,j,sim]);dsu.union(i,j)}}const groups=new Map();for(let i=0;inew Set(ids.map(i=>posts[i].account)).size>=2);const timed=posts.map((p,i)=>[i,p] as [number,P]).sort((a,b)=>a[1].t-b[1].t);let left=0;for(let right=0;rightSYNC_WINDOW)left++;for(let k=left;k=SIM_THRESHOLD)sync.push([ia,ib,b.t-a.t,sim,same?\"same_url\":\"similar_text\"])}}const by=new Map();const get=(a:string)=>{if(!by.has(a))by.set(a,{post_count:0,repetition_edge_count:0,sync_hit_count:0,media_edge_count:0,coordination_group_count:0,windows:new Set()});return by.get(a)};for(const p of posts)get(p.account).post_count++;for(const[i,j]of dup)for(const a of[posts[i].account,posts[j].account])get(a).repetition_edge_count++;for(const[i,j]of sync)for(const a of[posts[i].account,posts[j].account])get(a).sync_hit_count++;for(const ids of coord){const accts=new Set(ids.map(i=>posts[i].account)),wins=new Map>();for(const i of ids){const w=Math.floor(posts[i].t/LONG_WINDOW);if(!wins.has(w))wins.set(w,new Set());wins.get(w)!.add(posts[i].account)}const valid=[...wins.entries()].filter(([,as])=>as.size>=2);for(const a of accts){const d=get(a);d.coordination_group_count++;for(const[w,as]of valid)if(as.has(a))d.windows.add(w)}}const sat=(c:number,k:number)=>c>0?100*(1-Math.exp(-c/k)):0,clamp=(x:number)=>Math.max(0,Math.min(100,x)),out:any[]=[];for(const[a,d]of[...by.entries()].sort()){const w=d.windows.size,c={repetition:sat(d.repetition_edge_count,2),synchronization:sat(d.sync_hit_count,2),media_reuse:0,longitudinal:clamp(100*Math.max(0,w-1)/3),group_participation:clamp(100*d.coordination_group_count/3)},score=Math.round((.3*c.repetition+.3*c.synchronization+.15*c.longitudinal+.1*c.group_participation)*10)/10;out.push({account:a,score,label:posts.find(p=>p.account===a)!.label})}const br=(edges:any[])=>{let io_io=0,control_control=0,cross=0;for(const e of edges){const a=posts[e[0]].label,b=posts[e[1]].label;if(a&&b)io_io++;else if(!a&&!b)control_control++;else cross++;}return{io_io,control_control,cross}};return{out,dupEdges:dup.length,syncHits:sync.length,coordGroups:coord.length,dupBreakdown:br(dup),syncBreakdown:br(sync)}}\nasync function bucket(v:string){const d=new Uint8Array(await crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(SEED+\"|\"+v)));let x=0n;for(let i=0;i<8;i++)x=(x<<8n)+BigInt(d[i]);return Number(x)/Number((1n<<64n)-1n)=thr;if(pred&&x.label)tp++;else if(pred)fp++;else if(!x.label)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=(precision+recall)?2*precision*recall/(precision+recall):0;return{threshold:thr,tp,fp,tn,fn,precision:+precision.toFixed(4),recall:+recall.toFixed(4),specificity:+specificity.toFixed(4),f1:+f1.toFixed(4),balanced_accuracy:+((recall+specificity)/2).toFixed(4)}}\nfunction auc(items:any[]){const P=items.filter(x=>x.label),N=items.filter(x=>!x.label);let w=0;for(const p of P)for(const n of N)w+=p.score>n.score?1:p.score===n.score?.5:0;return +(w/(P.length*N.length)).toFixed(4)}\nfunction ap(items:any[]){const o=[...items].sort((a,b)=>b.score-a.score),npos=o.filter(x=>x.label).length;let tp=0,s=0;o.forEach((x,i)=>{if(x.label){tp++;s+=tp/(i+1)}});return +(s/npos).toFixed(4)}\nconst sampled=await Promise.all(SOURCES.map(sampleSource)),posts=sampled.flatMap(x=>x.posts),sc=scores(posts),scored=[];for(const x of sc.out)scored.push({...x,split:await bucket(x.account)});const cal=scored.filter(x=>x.split===\"calibration\"),test=scored.filter(x=>x.split===\"test\"),candidates=[...new Set([0,100.0001,...cal.map(x=>x.score)])].sort((a,b)=>a-b);let best:any=null;for(const t of candidates){const m=met(cal,t),key=[m.f1,m.balanced_accuracy,m.precision,-t];if(!best||key[0]>best.key[0]||key[0]===best.key[0]&&(key[1]>best.key[1]||key[1]===best.key[1]&&(key[2]>best.key[2]||key[2]===best.key[2]&&key[3]>best.key[3])))best={key,t,m}}const tm=met(test,best.t),io=scored.filter(x=>x.label),ctl=scored.filter(x=>!x.label);console.log(JSON.stringify({version:\"V6_EXTERNAL_SMOKE_REFERENCE_1\",status:\"OK\",engine:\"EXHAUSTIVE_O_N2_REFERENCE_NOT_PRODUCTION_BLOCKING\",doi:\"10.5281/zenodo.13912659\",dataset:\"Honduras\",sampling:{design:\"SYSTEMATIC_EQUAL_BYTE_WINDOWS_THEN_DETERMINISTIC_ACCOUNT_HASH\",windows:WINDOWS,windowBytes:WINDOW_BYTES,targetAccountsPerClass:TARGET_ACCOUNTS,maxPostsPerAccount:MAX_POSTS_PER_ACCOUNT,minimumObservedPostsPerSelectedAccount:2,bySource:sampled.map(x=>x.meta)},posts:posts.length,accounts:scored.length,classCounts:{io:io.length,control:ctl.length},referenceGraph:{duplicateEdges:sc.dupEdges,duplicateBreakdown:sc.dupBreakdown,syncHits:sc.syncHits,syncBreakdown:sc.syncBreakdown,coordinationGroups:sc.coordGroups},split:{seed:SEED,calibration:cal.length,test:test.length,calIO:cal.filter(x=>x.label).length,calControl:cal.filter(x=>!x.label).length,testIO:test.filter(x=>x.label).length,testControl:test.filter(x=>!x.label).length},selectedThreshold:best.t,calibrationMetrics:best.m,testMetrics:{...tm,roc_auc:auc(test),average_precision:ap(test)},scoreSummary:{io:{min:Math.min(...io.map(x=>x.score)),max:Math.max(...io.map(x=>x.score)),mean:+(io.reduce((a,x)=>a+x.score,0)/io.length).toFixed(3)},control:{min:Math.min(...ctl.map(x=>x.score)),max:Math.max(...ctl.map(x=>x.score)),mean:+(ctl.reduce((a,x)=>a+x.score,0)/ctl.length).toFixed(3)}},limitations:[\"Systematic range-window sample, not a random/full-corpus estimate.\",\"Accounts are balanced by construction; precision is not deployment prevalence-adjusted.\",\"Only accounts with >=2 posts observed in sampled windows are eligible.\",\"Exhaustive reference candidate graph can differ from production blocking; this result does not calibrate production precision/recall.\",\"IO membership is not bot identity, truth, intent, authenticity, or state attribution.\"]}));",[151],"pulls","branches","forks","envVars",{"_165":59,"_167":59},"connections",{"_165":59,"_166":59},"count","unfilledCount","emptyCount",{"_41":150,"_31":151,"_29":152,"_131":-5,"_39":40,"_38":153,"_133":24,"_36":182,"_13":155,"_32":33,"_34":156,"_23":24,"_137":-5,"_173":183,"_26":184},{"_41":143,"_31":144,"_29":145,"_131":-5,"_39":40,"_38":146,"_133":140,"_36":179,"_13":59,"_32":33,"_34":148,"_23":24,"_137":-5,"_173":180,"_26":181},{"_41":139,"_31":27,"_29":30,"_131":-5,"_39":40,"_38":14,"_133":140,"_36":176,"_13":59,"_32":33,"_34":35,"_23":24,"_137":-5,"_173":177,"_26":178},{"_41":128,"_31":129,"_29":130,"_131":-5,"_39":40,"_38":132,"_133":24,"_36":172,"_13":135,"_32":33,"_34":136,"_23":24,"_137":-5,"_173":174,"_26":175},["D",1788048717175],"children",[],[129],["D",1788048745956],[],[27],["D",1788048665910],[],[144],["D",1788048720020],[],[151],["D",1788046289516],{"_93":92,"_101":97},{"_93":92,"_94":95,"_96":97,"_18":53,"_98":99,"_100":24},{"_13":82,"_31":83,"_41":40,"_84":42,"_85":-5,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":43,"_91":92},"ctx",{"_75":-5,"_121":222,"_223":224,"_225":226,"_227":24,"_228":24,"_229":24,"_230":140,"_231":-5,"_232":-7,"_233":-7,"_234":59,"_235":24,"_236":24,"_237":-5,"_238":24,"_239":24,"_240":24,"_241":-5},"ENV",{"_193":194,"_195":196,"_197":83,"_198":199,"_200":201,"_202":203,"_204":205,"_206":207,"_208":209,"_210":211,"_212":213,"_214":215,"_216":217,"_218":219,"_220":221},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v15