Matsayin bincike · An sabunta: Mayu 22, 2026
Abin da tarin yanzu ke nuna tuni
Sawun tunani da aka tattara suna nuna tsarin hali mai daidaituwa.
Wakilan da suka bambanta suna zaune a yankuna daban-daban na wannan filin maki.
Waɗannan yankuna suna da amfani don sa ido da lura da kuma kayan aikin mai aiki a yau.
Wannan tarin yana ƙara samun ƙima yayin da bayani ya ƙara zama dalla-dalla kuma girma ya ƙaru.
Takarda ta synthesis ta farko
Corridor Dynamics in Coordinated Systems
v2 · Mayu 22, 2026 · DOI 10.5281/zenodo.20300773
An Integration of Operator Formalism, Relational Ontology, and Five-Substrate Empirical Validation
Takarda guda ɗaya da ke bayyana cikakken jingina na CIRIS: tsarin haɗin gwiwa masu lafiya suna zaune a cikin zango mai iya aunawa, nesa da durƙushewa zuwa murya guda ɗaya mai tsauri da kuma hargitsin hayaniya zalla. Mun gwada wannan da'awar a kan tsutsotsi, ƙudaje, samfuran AI, ayyukan buɗaɗɗen tushe, samfurin nama, da cibiyoyin ɗan adam masu daɗewar wanzuwa. Tsarin ya tsaya a kowane ɗayansu, kuma takardar ta haɗa hanyoyi ashirin da za a iya tabbatar da cewa ta yi kuskure.
Mataki na injiniyan
Haɗin binciken da ke sama yana haɗa waɗannan takardu guda uku; ba ya maye gurbinsu ba. Kowannensu yana tsaye a kan nasa DOI kuma za a iya tantance shi da kansa. Duba dukkan takardun huɗu tare da manyan bincike da iyakokin aiki →
Coherence Collapse Analysis
v5 · Aug 1, 2026 · DOI 10.5281/zenodo.21730551
Tsarin haɗarin injiniya. Lokacin da ƙa'idojin da ke sarrafa tsarin suka zama masu alaƙa, bambancin da ya dace yana rugujewa: k_eff = k/(1+ρ(k−1)) → 1 yayin da ρ → 1. Yana samo jadawolin rugujewa guda uku, iyakar singularity, da rarraba matakai (bazuwa / lafiya / tsauri). An tabbatar da shi ta hanyar kwaikwayar Monte Carlo da shaidu na Lean 4.
CIRISAgent Framework
v2 · Jan 2, 2026 · DOI 10.5281/zenodo.18137161
Takardar tsari. Tsarin AI na buɗaɗɗen tushe na ɗabi'a don cin gashin kai mai ɗaukar nauyi: tsari mai sabis 22 da aka tsara a kusa da bayyanannun fi'ilan aiki da tunani na ɗabi'a, tare da gina bayyana gaskiya a cikin tsarin maimakon a ƙara shi a baya.
Constrained Reasoning Chains
v1 · Apr 28, 2026 · DOI 10.5281/zenodo.19839280
Takarda ta auna. Nazarin awo na telemetry na gwaji na daidaitar LLM a ƙarƙashin sawun tunani na ɗabi'a mai daidaituwa, yana mai da sawun tunani masu yarda zuwa taswirar corridors na kamala, yankuna na jinkiri, da iyakokin ƙi. An fitar da shi tare da buɗaɗɗen tarin sawun tunani.
Tarin bayanai buɗaɗɗe
CIRISAI/reasoning-traces
Tarin sawun tunani, wanda aka cire bayanan sirri daga ciki, da aka fitar tare da binciken Constrained Reasoning Chains. Takardar ma'auni tana zana taswirorinta daga gare shi.
CIRISAI akan Hugging Face
Cikakkiyar ƙungiya ta tarin bayanai da samfura na jama'a →
Wurin ajiya na tushe da tekun tsari na Lean don takardar synthesis: github.com/CIRISAI/coherence-ratchet.
Tushen lissafi
Ra'ayoyi guda biyu da sauran shafin ke dogara a kansu.
Alignment Manifold shine yankin sifofin tunani masu daidaituwa da ka'idojin tsarin. Ƙa'idoji masu zaman kansu suna matse sararin da ke kewaye da shi, kuma alaƙar juna tana sanya rufi mai tsauri ga wannan matsewa: bayan haka, ƙara wasu duban da ke maimaita juna ba ya samun komai. Coherence Singularity shine gefen wannan, wurin da ƙa'idoji suka zama masu alaƙa sosai har ƙara da yawa ya daina taimakawa.
Cikakken bayanin lissafi tare da dabaru, nassoshin tsarin Lean, da iyakar L-01 ta ka'idar bayani suna a shafin Coherence Collapse Analysis.
Me yasa sawun tunani suka fi muhimmanci
Ma'auni na gwaji suna da iyaka kuma an keɓance su. Sawun tunani su ne rikodin ɗabi'a na ci gaba a ƙarƙashin ainihin ayyuka. Idan an yi amfani da su a babban sikelin aiki, suna bayyana tsarin da gwaje-gwajen keɓancewa da labaran bazuwa ba za su iya bayyanawa ba.
Me yasa tsarin ya fi muhimmanci
CIRIS yana amfani da tsare-tsaren sawun tunani masu kiyaye sirri da ke ɗaukar fasalin tunani maimakon abubuwan sirri na tunanin. Wannan yana sa binciken ya kasance mai amfani ba tare da mayar da tsarin ya zama tarin rubuce-rubucen asali da ba a tace ba.
Me ya sa tarin sawu yake da muhimmanci
Binciki sawu yana buɗe sawun tunani da aka sa hannu daga farko har ƙarshe, mataki ɗaya a kowane lokaci. Yana nuna abin da tarin ya ƙunsa da kuma inda hali ke zama abin karantawa a sarari.
Sawun tunani masu adana sirri
Hasashe shine cewa tunani yana da sifa da za mu iya auna yayin da komai ke girma.
Jinginar bincike ba ita ce cewa za mu iya karanta kowane tunani na sirri ba. Jinginar ita ce cewa sawun tunani na ɗabi'a masu daidaituwa za su iya kiyaye isasshen sifar hanya don nazarin yadda wakilan ke kamala, jinkirta, mika, ƙetare, da ƙi yayin da hankali, yanayi, da adadin bayanai ke hawa sama.
Suna yin rikodin daidaitaccen tsarin sawun tunani na ɗabi'a maimakon tsantsar bayanan aikin sirri.
Suna kiyaye isasshen sifa don kwatanta hanyoyi a tsakanin wakilan, ayyuka, da yanayi.
Suna ba wa masu bincike hanya don nazarin yadda hali ke girma yayin da hankali, yanayi, da ƙarar bayanai ke ƙaruwa.
Tambayar bincike
Me sawun tunani na ɗabi'a masu daidaituwa za su iya gaya mana game da daidaitawa?
A yanzu, suna gaya mana cewa hali na wakili ba tsatsa ba ne. Yana samar da corridors masu maimaituwa, kwanduna, da iyakoki a cikin filin maki da aka raba. Hakan yana da amfani tuni don kula da tsarin. Akan lokaci, tarurruka mafi girma da mafi arziƙi ya kamata su ba mu damar gwada da'awa mafi ƙarfi game da yadda wadannan tsare-tsare suka canza a ƙarƙashin matsin lamba da girma.
Tsarin jama'a
CIRIS ba yana da'awar cewa ya warware matsalar daidaitawa ba. Yana gina ababen more rayuwa na sawun tunani da ake bukata don auna hali mai dacewa da daidaitawa a fili.
Girma Mai Inganci a Samarwa
Tarin yanzu ya riga ya nuna tsare-tsaren filin daban-daban.
Ruɗuwar hanya da aka tattara daga tarin sawun tunani na yanzu suna nuna tsarin hali mai daidaituwa a cikin filin maki da aka raba. Ally yana nuna corridor mai kamala da ya balaga, Scout yana nuna iyakar ƙi da aka sifanta ta fallasa ta jama'a mai ƙalubale, kuma Datum yana bayar da asasin keɓe mai taƙaitawa.
Hanyoyin da aka ɗora a kan juna da aka tattara daga tarin sawun tunani na yanzu. Ally yana nuna corridor na kammalawa da ya balaga, Scout yana nuna gefen ƙi mai kaifi a ƙarƙashin matsin jama'a mai ƙalubale, kuma Datum yana bayar da asasin keɓe.
Ally — 104 hanyoyi
82 cikakke, 19 ƙetare/kuskure, 3 suna aiki
Corridor mai daidaituwa na kammalawa tare da jinkiri mai ganuwa a cikin kwando ɗaya na maki mai girma.
Scout — 42 hanyoyi
39 cikakke, 2 ƙi, 1 ƙetare/kuskure
Gefen ƙi mai kaifi da aka sifanta ta matsin jama'a mai ƙalubale a scout.ciris.ai, inda mutane suke gwada kuma suke ƙoƙari su karya wakili.
Datum — 31 hanyoyi
31 cikakke
Kwando guda ɗaya mai taƙaitawa wanda ke aiki a matsayin asasin filin keɓe mai amfani.
Me yasa Scout ke kama mai tsauri
Scout an fallasa shi ga jama'a a scout.ciris.ai. Mutane suna gwadawa, ana matsa masa, kuma suna ƙoƙarin karya shi. Wannan yana mai da Scout misali mai amfani na matsin jama'a maimakon asasin tsaka-tsaki.
Yadda app na kyauta ke taimakawa
Injin bincike ya dogara da sawun tunani masu yarda daga amfani na ainihi.
App na kyauta da saurin buɗaɗɗen tushe suna ba wa mutane damar samar da sawun tunani masu yarda daga ayyukan ainihi, ba da gudummawa zuwa tarin da aka raba, kuma mai da wadannan sawun tunani zuwa taswirar mafi kyau, kayan aiki mafi kyau, da tambayoyin bincike mafi kyau.
Gudanar da app na CIRIS kyauta ko tsarin gudanarwa na buɗaɗɗen tushe a kan ainihin ayyuka.
Kama sawun tunani masu yarda ta hanyar tsare-tsare masu adana sirri da ke kiyaye sifar tunani ba tare da ajiya cikakken bayani na aikin ba.
Tattara wadannan sawun tunani zuwa taswirar corridors na kamala, yankuna na jinkiri, iyakokin ƙi, da gefen ƙetare.
Yi amfani da taswirar da aka samu don inganta kayan aikin masu gudanarwa, kariya ta lokacin aiki, da binciken daidaituwar AI.
Manhajar CIRIS ta kyauta da runtime mai buɗaɗɗen tushe suna ba wa mutane damar samar da sawun tunani tare da yardarsu daga ayyukan ainihi, tattara su zuwa taswirorin sararin matakai da aka raba, da kuma ciyar da ingantattun kayan aikin mai aiki da binciken daidaitawa.
Matsayin IDMA
Basira na saurin aiki da taswirar filin da aka tattara suna zama layuka masu kara juna.
IDMA yana aiki a saurin aiki, yana kiyasta ko kafofin da ke bayan yanke shawara sun yi zaman kansu isa. Tarin sawun tunani yana aiki a matakin da aka tattara, yana nuna abin da wakilan suke yi a zahiri akan ayyuka da yawa. Tare suna ƙirƙira hanya daga yanke shawara masu rai zuwa shaidu na bincike masu lissafi.
Aunin N_eff na ainihi (empirical) a kan tarin sawun tunani shi ne kuma tushen ginshiƙin farko na Hujjar Amfani (Proof of Benefit) a tsarin haɗin gwiwa da aka ba da shawara. Duba shafin haɗin gwiwa don yadda shirin gine-ginen 3.X zai yi amfani da shi.
Ma'auni
Sawun tunani suna kara ma'auni ta hanyar nuna hali mai ci gaba.
Ma'auni har yanzu suna da ƙima, amma suna zaɓar hali a kaɗan kaɗan. Tarurrukan sawun tunani suna nuna yadda wakili yake yin hanya ta ayyukan ainihi akan lokaci. Wannan yana mai da su suna da amfani musamman don auna jinkiri, ƙi, ƙetare, da farfadowa maimakon kawai sakamakon wucewa-ko-kasa.
Hanyar ƙaryatawa
Ingantattun bayanan tsari shine abin da ke mai da kula da tsarin zuwa gwaje-gwaje mafi ƙarfi.
Ingantattun tsare-tsare na gaba suna da nufin adadin tushe marasa tacewa, asalin tushe, tsarin alaƙar kididdiga, da alamun tsoma baki da farfadowa. Waɗannan ƙarin bayanan suna da muhimmanci saboda suna ba da damar gwada da'awa mafi ƙarfi game da yadda sifar hali ke canzawa a ƙarƙashin matsin lamba maimakon bayyana taswirorin da muke da su a yau kawai.
Abin da har yanzu muke koyo
Tarin na yau yana sa hali ya zama abin karantawa a sarari. Mataki na gaba shine auna mafi zurfi.
Taswirorin na yanzu sun riga sun kasance masu amfani saboda suna nuna corridor ɗin kammalawa, iyakokin ƙi, da asasan keɓe a fili. Tambayar da ke a buɗe ita ce nisan da waɗannan tsare-tsare za su iya kai mu yayin da daidaitaccen tarin sawun tunani ke faɗaɗa a kan ƙarin wakilai, ƙarin ayyuka, da ƙarin yanayi masu ƙalubale.
Hasashen da ake aiki da shi shi ne cewa masu jan hankali na ɗabi'a za su iya aiki a matsayin wakilai na yanayin aiki. Manufar filin gama-gari na sawun tunani ita ce mai da wannan hasashe abin da za a iya aunawa a fili.
Yanayin rashin nasara da CCA ke auna ta tsari yana da sunan sa a cikin wallafar FAccT 2025: perspectival homogenization ("Value of Disagreement in AI Design, Evaluation, and Alignment"). Tushen lissafi yana a shafin Coherence Collapse Analysis na musamman.