{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-alphaxiv","slug":"alphaxiv","name":"alphaXiv","type":"webapp","url":"https://www.alphaxiv.org","page_url":"https://unfragile.ai/alphaxiv","categories":["research-search"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-alphaxiv__cap_0","uri":"capability://search.retrieval.natural.language.paper.search.with.query.understanding","name":"natural-language paper search with query understanding","description":"Accepts free-form natural language queries (e.g., 'image generation techniques') and returns ranked arXiv papers via an inferred semantic or hybrid search backend. The system appears to parse user intent from conversational queries rather than requiring structured search syntax, suggesting either embedding-based retrieval or LLM-powered query expansion before traditional ranking. Search results display paper metadata (title, authors, date, category tags) and engagement metrics (bookmark counts, resource counts).","intents":["I want to find papers on a specific topic without learning arXiv's search syntax","I need to discover recent work in my research area quickly","I want to see what papers are trending or most-bookmarked in a field"],"best_for":["researchers and students new to arXiv","engineers tracking state-of-the-art developments","non-specialists seeking accessible paper discovery"],"limitations":["Search quality and ranking algorithm are unspecified — no comparison to native arXiv search or Semantic Scholar provided","Coverage scope unknown — unclear if all arXiv papers are indexed or only a subset","Update frequency for new papers not documented — freshness of results unclear","No advanced search operators mentioned (date ranges, author filters, etc.)"],"requires":["Web browser with JavaScript enabled","Internet connection","alphaXiv account (free tier available)"],"input_types":["text (natural language query)"],"output_types":["structured data (paper listings with metadata: title, authors, date, tags, engagement metrics)"],"categories":["search-retrieval","natural-language-interface"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_1","uri":"capability://search.retrieval.personalized.paper.feed.with.discovery.browsing","name":"personalized paper feed with discovery browsing","description":"Displays a chronologically or algorithmically ranked feed of arXiv papers with metadata (title, authors, publication date, category tags like #computer-science #machine-learning). The feed appears to support personalization ('Personalize your feed' mentioned) and engagement metrics (bookmark counts, resource counts per paper). Users can browse without explicit search, suggesting collaborative filtering, content-based recommendation, or user preference tracking. The feed updates as new papers are published to arXiv.","intents":["I want to stay updated on new papers in my field without manually checking arXiv daily","I want to discover papers I might not find through direct search","I want to see what papers are gaining community attention (high bookmark counts)"],"best_for":["active researchers monitoring their field","students building literature reviews","ML engineers tracking state-of-the-art"],"limitations":["Personalization mechanism is unspecified — unclear if based on bookmarks, search history, or explicit preferences","Feed ranking algorithm unknown — no documentation of how papers are ordered or prioritized","No filtering options visible (by date range, author, institution, etc.)","Scope limited to arXiv — no integration with other preprint servers, journals, or conference proceedings"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["implicit (user browsing behavior, bookmarks)"],"output_types":["structured data (ranked paper listings with metadata and engagement metrics)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_2","uri":"capability://text.generation.language.ai.generated.paper.summaries.and.blog.post.generation","name":"ai-generated paper summaries and blog post generation","description":"Generates or curates AI-written blog post summaries for arXiv papers, accessible via 'View blog' links on paper cards. Summaries appear to be LLM-generated (based on titles like 'Image Generators are Generalist Vision Learners'), converting technical abstracts into accessible prose for non-specialists. The implementation likely uses an LLM (unspecified which model) with the paper abstract or full text as context, though whether summaries are pre-generated or on-demand is unknown. Quality metrics and accuracy validation are not documented.","intents":["I want to understand a paper's contribution without reading the full technical abstract","I want accessible summaries of papers outside my expertise","I want to quickly assess if a paper is relevant to my work"],"best_for":["students and non-specialists seeking accessible paper overviews","busy researchers triaging large numbers of papers","engineers evaluating relevance before deep reading"],"limitations":["LLM model used for summaries is unspecified — no transparency on accuracy, hallucination risk, or bias","Summary quality metrics not provided — no comparison to human-written summaries or other automated approaches","No indication of whether summaries are pre-generated or generated on-demand (affects latency and freshness)","No option to view original abstract alongside summary for verification","Coverage unknown — unclear if all papers have summaries or only a subset"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["structured data (paper metadata: title, abstract, authors, date)"],"output_types":["text (blog post summary, typically 2-4 paragraphs)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_3","uri":"capability://memory.knowledge.paper.bookmarking.and.personal.collection.management","name":"paper bookmarking and personal collection management","description":"Allows users to save papers to a personal bookmark collection within alphaXiv, persisted in user accounts. Bookmarks appear to be used for personalization (feed ranking likely considers bookmarked papers) and for building personal libraries. The system tracks bookmark counts per paper (visible as engagement metrics), suggesting bookmarks are aggregated across users for ranking/recommendation. No export, sharing, or integration with reference managers (Zotero, Mendeley, etc.) is mentioned.","intents":["I want to save papers I find relevant for later reading","I want to build a personal library of papers in my research area","I want my bookmarks to influence my personalized feed"],"best_for":["researchers building literature reviews","students organizing papers for coursework","anyone needing a lightweight paper collection system"],"limitations":["Bookmarks stored only in alphaXiv — no export to standard formats (BibTeX, RIS, etc.)","No integration with reference managers (Zotero, Mendeley, Notion, etc.)","No sharing or collaboration features mentioned","No tagging, annotation, or organization beyond bookmarking","High vendor lock-in — bookmarks cannot be migrated if user switches tools"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["implicit (user click on bookmark button)"],"output_types":["structured data (bookmark collection with paper metadata)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_4","uri":"capability://search.retrieval.paper.resource.aggregation.and.curation","name":"paper resource aggregation and curation","description":"Aggregates external resources (code repositories, datasets, blog posts, videos, etc.) related to arXiv papers and displays resource counts on paper cards (e.g., '648 resources' for DeepSeek-V4). The mechanism for resource discovery and curation is undocumented — could be user-submitted, crawled from GitHub/Papers with Code, or manually curated. Resources appear to be linked from paper detail pages, though the UI for browsing them is not visible in the provided content.","intents":["I want to find code implementations or datasets associated with a paper","I want to see if a paper has been reproduced or extended by the community","I want to quickly access supplementary materials beyond the paper itself"],"best_for":["engineers implementing papers","researchers reproducing results","students learning from code examples"],"limitations":["Resource curation mechanism unknown — unclear if user-submitted, automatically crawled, or manually curated","Quality and accuracy of resources not validated — no indication of whether links are verified or maintained","Coverage unknown — unclear if all papers have associated resources or only popular ones","Resource types not specified — unclear what counts as a 'resource' (code, datasets, blog posts, videos, etc.)","No filtering or search within resources mentioned"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["structured data (paper metadata) + external sources (GitHub, Papers with Code, etc.)"],"output_types":["structured data (resource listings with links and metadata)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_5","uri":"capability://search.retrieval.browser.extension.for.in.context.paper.discovery","name":"browser extension for in-context paper discovery","description":"Provides a browser extension (mentioned in navigation) that enables paper discovery and interaction without leaving the web. The extension's exact functionality is unspecified, but likely includes: highlighting paper citations on web pages, showing paper summaries on hover, or enabling quick bookmarking from external sites. The extension presumably syncs with the main alphaXiv account and bookmarks.","intents":["I want to discover papers while reading blog posts or documentation","I want quick access to paper summaries without switching tabs","I want to bookmark papers I encounter while browsing"],"best_for":["researchers reading technical blogs and documentation","students researching while browsing","anyone wanting seamless paper discovery across the web"],"limitations":["Extension functionality is completely undocumented — unclear what features it provides","Supported browsers unknown (Chrome, Firefox, Safari, Edge?)","Performance impact on browser unknown","Privacy implications of extension tracking unknown","Offline functionality unknown — unclear if extension works without internet"],"requires":["Supported web browser (unspecified which ones)","alphaXiv account (free tier available)","Extension installed from browser store"],"input_types":["implicit (user browsing behavior, paper citations on web pages)"],"output_types":["structured data (paper metadata, summaries) + UI overlays"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_6","uri":"capability://search.retrieval.smart.search.with.query.processing.variants","name":"smart search with query processing variants","description":"Offers 'Smart Search' and 'Style' options (visible in UI) that appear to modify how queries are processed or how results are ranked/presented. The exact behavior of these options is undocumented, but 'Smart Search' likely applies query expansion, semantic understanding, or multi-step reasoning to improve relevance, while 'Style' may control result presentation (e.g., chronological vs. trending vs. most-bookmarked). Implementation approach is unknown.","intents":["I want more intelligent search results that understand my intent","I want to customize how search results are ranked or presented","I want to refine search behavior for different use cases"],"best_for":["power users seeking advanced search capabilities","researchers with specific search needs"],"limitations":["Smart Search and Style options are completely undocumented — no explanation of what they do","No documentation of how Smart Search differs from standard search","No documentation of available Style options or their effects","No performance comparison or quality metrics provided"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["text (natural language query)"],"output_types":["structured data (ranked paper listings with metadata)"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_7","uri":"capability://search.retrieval.engagement.metrics.and.community.signals.aggregation","name":"engagement metrics and community signals aggregation","description":"Aggregates and displays community engagement metrics on paper cards, including bookmark counts and resource counts. These metrics serve as social proof and ranking signals, suggesting they influence feed personalization and paper ranking. The system likely tracks these metrics in real-time or near-real-time as users interact with papers. Metrics are visible on paper listings and may be used to surface trending or high-impact papers.","intents":["I want to see which papers are gaining community attention","I want to discover high-impact papers in my field","I want social proof that a paper is worth reading"],"best_for":["researchers seeking high-impact papers","students identifying important work in their field","anyone wanting community-validated paper recommendations"],"limitations":["Metric types limited to bookmarks and resources — no citation counts, view counts, or other signals","No time-decay or recency weighting mentioned — unclear if old papers with high counts are ranked equally to recent papers","No filtering by metric (e.g., 'show papers with >100 bookmarks')","Metrics may be biased toward popular papers, potentially missing niche but important work"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection"],"input_types":["implicit (user interactions: bookmarks, resource clicks)"],"output_types":["structured data (engagement metrics displayed on paper cards)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_8","uri":"capability://automation.workflow.free.tier.with.upgrade.to.pro.monetization","name":"free tier with upgrade-to-pro monetization","description":"Offers a free tier with core features (search, feed browsing, bookmarking, summaries) and a Pro tier with unspecified premium features. An 'Upgrade to Pro' button is visible on the main page, and a 'Hot Likes Pro' section suggests personalization features may be premium. Specific pricing, feature differences, usage limits, and Pro tier capabilities are entirely undocumented. The freemium model suggests usage limits or feature restrictions on the free tier, but these are not disclosed.","intents":["I want to try alphaXiv without paying","I want to understand what premium features cost and what they offer","I want to decide if Pro tier is worth the investment"],"best_for":["casual users and students","researchers evaluating the tool before committing"],"limitations":["Free tier limits are completely undocumented — unclear what restrictions apply (search limits, bookmark limits, summary access, etc.)","Pro tier features are completely undocumented — unclear what premium features exist","Pricing is completely undocumented — no monthly/annual cost, no per-query costs","No information on team/enterprise pricing","No trial period mentioned — unclear if Pro tier has a free trial"],"requires":["alphaXiv account (free tier available)","Web browser","Internet connection","Payment method (for Pro tier, if desired)"],"input_types":["implicit (user account creation, feature usage)"],"output_types":["access control (free vs. Pro features)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alphaxiv__cap_9","uri":"capability://memory.knowledge.user.account.and.preference.persistence","name":"user account and preference persistence","description":"Manages user accounts with sign-in/authentication, storing bookmarks, search history, and personalization preferences. The system persists user data across sessions and devices (implied by account-based architecture), enabling personalized feeds and bookmark synchronization. Authentication mechanism (email/password, OAuth, etc.) is not specified. Data storage and privacy policies are not documented.","intents":["I want my bookmarks and preferences to persist across sessions","I want to access my papers from multiple devices","I want a personalized experience based on my history"],"best_for":["active researchers with ongoing paper collections","users accessing alphaXiv from multiple devices"],"limitations":["Authentication mechanism not specified — unclear if email/password, OAuth, or other methods are supported","Privacy policy and data handling practices not documented","No option for data export or account deletion mentioned","No multi-device synchronization details provided","No offline access mentioned — all data appears cloud-only"],"requires":["Email address or social account (for sign-up)","Web browser","Internet connection"],"input_types":["implicit (user interactions: bookmarks, searches, preferences)"],"output_types":["structured data (user profile, bookmarks, preferences)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Web browser with JavaScript enabled","Internet connection","alphaXiv account (free tier available)","Web browser","Supported web browser (unspecified which ones)","Extension installed from browser store","Payment method (for Pro tier, if desired)","Email address or social account (for sign-up)"],"failure_modes":["Search quality and ranking algorithm are unspecified — no comparison to native arXiv search or Semantic Scholar provided","Coverage scope unknown — unclear if all arXiv papers are indexed or only a subset","Update frequency for new papers not documented — freshness of results unclear","No advanced search operators mentioned (date ranges, author filters, etc.)","Personalization mechanism is unspecified — unclear if based on bookmarks, search history, or explicit preferences","Feed ranking algorithm unknown — no documentation of how papers are ordered or prioritized","No filtering options visible (by date range, author, institution, etc.)","Scope limited to arXiv — no integration with other preprint servers, journals, or conference proceedings","LLM model used for summaries is unspecified — no transparency on accuracy, hallucination risk, or bias","Summary quality metrics not provided — no comparison to human-written summaries or other automated approaches","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.3,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:20.516Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=alphaxiv","compare_url":"https://unfragile.ai/compare?artifact=alphaxiv"}},"signature":"uA1HTQ1LCX8sCQPyMmUWCZNxWmISvwEcH4tSJWiD1zARHAJnBbbTHfJLVj85Z82Z6BhxlNxt5z+3LguW5GtKBQ==","signedAt":"2026-06-22T13:26:12.115Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alphaxiv","artifact":"https://unfragile.ai/alphaxiv","verify":"https://unfragile.ai/api/v1/verify?slug=alphaxiv","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}