CRLP is an experimental source-integrity protocol for AI systems, agents and audit workflows. It helps verify whether a source is current, coherent and safe to reason from before an AI cites it, summarizes it, audits it or acts on it.
CRLP does not attack caches. It observes cache state, compares versions, checks markers and hashes, separates preview failure from file loss, and classifies whether a source is safe to reason from before AI systems use it for retrieval, citation, audit or decision-support.
Verify the URL, file, record or repository identity first.
Read the source normally and through a probe path to surface divergence.
Check markers, hashes, dates and lineage before trusting availability.
Classify GREEN, YELLOW, ORANGE, RED or BLACK before reasoning.
CRLP verifies whether a source is safe to reason from.The browser-native layer of CRLP. It reads HTTP response headers in real time, classifies cache risk with a green / yellow / red semaphore in your toolbar, and gives you a verified no-cache reload for the active tab — so you never work blind on a stale view again. It detects signals and refreshes your local view honestly; it does not purge CDN, hosting or server.
La capa nativa del navegador de CRLP. Lee cabeceras HTTP de respuesta en tiempo real, clasifica el riesgo de caché con un semáforo verde / amarillo / rojo en tu barra, y te da una recarga verificada sin caché para la pestaña activa — para que nunca vuelvas a trabajar a ciegas sobre una versión vieja. Detecta señales y refresca tu vista local honestamente; no purga CDN, hosting ni servidor.
Unzip the package to get the crlp-cache-sentinel folder. Descomprime el ZIP para obtener la carpeta.
Open chrome://extensions and enable Developer Mode. Abre chrome://extensions y activa Modo desarrollador.
Click Load unpacked and select the folder. Clic en Cargar sin empaquetar y elige la carpeta.
Open any https page, press F5, read the badge. Abre cualquier página https, F5, mira el badge.
Cache Sentinel reads visible headers and refreshes your local view.Modern AI systems, RAG pipelines and web agents may read sources through cached pages, stale CDN responses, outdated indexes, broken previews, draft-only publication states or ambiguous headers. A source may exist and still be unsafe to use.
CRLP applies a layered verification structure derived from the Borda Milan Pyramid. A source is not accepted only because it exists; it must pass identity, temporal, cache, lineage, version and authorization checks.
Every record below was run, recorded and verified read-only under the E.I.A.R.(V)-AERiV protocol — no modification, no purge, no destructive action. · Cada registro fue ejecutado, grabado y verificado en modo solo-lectura: sin modificación, sin purga, sin acción destructiva.
Controlled marker verification over the vehiclesystemslab.com deployment. Detected stale-while-revalidate divergence between normal read and cache-bypass probe; content hashes compared across sequential reads.
Public record 20263484 verified: DOI active, resource type Preprint, PDF + DOCX + ZIP present, long description and scientific markers detected. Content hash abd926f3… · 109,998 bytes.
Zenodo preview layer showed an incomplete state while direct download stayed fully available. CRLP separated preview failure from real file loss — the source was safe to use.
First live field test of CRLP Cache Sentinel on vehiclesystemslab.com (Nginx / Ubuntu 22.04). Confirmed Cache-Control no-cache, must-revalidate active. Semaphore returned GREEN. ETag validator present.
CRLP classifies source integrity with GREEN, YELLOW, ORANGE, RED and BLACK decisions. That gives AI developers and auditors a clear threshold before a source enters reasoning, citation or decision-support.
CRLP v0.1 Experimental is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share, adapt, integrate and build upon this work for any purpose, including commercial use, provided that appropriate attribution to VEHICLE Systems Lab and Roberto Borda Milan is preserved.
Suggested attribution: “CRLP — Cache Refresh & Lineage Protocol, developed by VEHICLE Systems Lab / Roberto Borda Milan.” This package is experimental and evolving. VEHICLE Systems Lab does not present CRLP as an official AI safety standard, infrastructure security standard or regulatory compliance framework.
Claims about effectiveness should be tested, documented and validated through authorized use. CRLP does not purge, attack, bypass or modify third-party infrastructure. It is an observation, verification and source-integrity protocol. Full license text: Creative Commons Attribution 4.0.
CRLP v0.1 Experimental can be tested locally using read-only probes. These probes do not purge cache, modify production, bypass authorization or attack infrastructure. They observe public or authorized sources and generate JSON reports.
crlp_live_fetch_probe_v0_2.py.cd "C:\Users\YOUR_USER\Downloads\YOUR_PROJECT_FOLDER"python .\crlp_live_fetch_probe_v0_2.py https://example.com --out crlp_probe_report.json --sleep 2 --marker "EXPECTED_MARKER" --save-body --body-prefix crlp_bodytype .\crlp_probe_report.jsonCRLP does not mean “clean every cache.” CRLP means “verify whether the source is safe to reason from.”
For institutional integration, CPU server deployment, advanced GPU architecture, custom AI-agent integration or technical support, contact contact@vehiclesystemslab.com.
The free version is intended for open testing and local adoption. Professional deployment is where CRLP becomes operational infrastructure: internal source-integrity layers, documented audit workflows, company-specific integration patterns, CPU server deployments, GPU-supported evidence analysis and technical coordination from VEHICLE Systems Lab.
For research collaboration, institutional integration and custom architecture, contact contact@vehiclesystemslab.com.