Validations Queue

83,930 candidate doc → node links pending adjudication. Each was auto-generated by cosine similarity ≥ 0.55 between document and prediction embeddings (bge-base-en-v1.5, 768-dim). Showing page 164 of 371, 50 rows by similarity. Adjudicating updates doc_node_links.reviewed=true with the chosen polarity, writes per-link rows to audit_log, and removes the row from this queue. Phase 4 inference will use confirmed corroborates/contradicts links as Bayesian evidence.

Pending (total)

83,930

Reviewed

Filtered

18,509

page 164 / 371

Showing on page

Filters

URL params control source + min-similarity threshold

Source

All (83930)arxiv (38637)codex_research_pack (134)edgar_8k (3091)fda (3580)gdelt (1218)github_release (3077)manifold (8920)polymarket (25273)

Page size

50 100 200 500

Bulk auto-confirm by similarity threshold

Confirm or label (corroborates / contradicts) all unreviewed links above a similarity threshold in one transaction. Each affected row writes a per-link audit_log entry. Capped at 1,000 links per call. Use Preview first.

Threshold:Source:Action:

Source0 selected · 0 visible

Bulk action

Sim	Doc	Source	Pred	Domain	Prior
0.67	Procedural-skill SFT across capacity tiers: A W-Shaped pre-SFT Trajectory and Regime-Asymmetric Mechanism on 0.8B-4B Qwen3.5 Models	arxiv 2026-05-12	TK01 AGI Capability Plateau (2026-27 Training Stall)	—	15%
0.67	ROMER: Expert Replacement and Router Calibration for Robust MoE LLMs on Analog Compute-in-Memory Systems	arxiv 2026-05-12	SEM_022 FP4 / ternary-weight architectures decouple AI capability from raw transistor density — embargoed nations maintain competitive development. Dave Blundin	AI/Architecture	65%
0.67	Shaping Zero-Shot Coordination via State Blocking	arxiv 2026-05-12	IND_013 General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future... Jimmy Ba	AI	79%
0.67	Will OpenAI broadly release a dedicated Cyber model to Trusted Access users by Sep 30, 2026?(market prob: 68%)	manifold 2026-05-14	235_008 Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months. Alex Wissner-Gross	AI	42%
0.67	Will code vulnerabilities (CVE records) more then double in 2026?(market prob: 27%)	manifold 2026-05-13	241_011 By end of 2026, no one will write code manually - it'll be a quaint skill Peter Diamandis	Labor/Jobs	47%
0.67	Harnessing Agentic Evolution	arxiv 2026-05-13	AUT_017 Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin... Jimmy Ba	AI	65%
0.67	Characterizing Universal Object Representations Across Vision Models	arxiv 2026-05-13	AUT_002 Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological... Alex Wissner-Gross	AI	59%
0.67	MARLIN: Multi-Agent Game-Theoretic Reinforcement Learning for Sustainable LLM Inference in Cloud Datacenters	arxiv 2026-05-13	CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross	Quantum/AI	15%
0.67	Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems	arxiv 2026-05-13	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Teacher-Guided Policy Optimization for LLM Distillation	arxiv 2026-05-13	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning	arxiv 2026-05-13	AUT_017 Defining 2023-2026 shift: maturation of 'Agentic AI' via heavy fine-tuning of pre-trained LLMs using advanced reinforcement learning techniques — single foundational models seamlessly handling diverse complex tasks (market analysis, software engineerin... Jimmy Ba	AI	65%
0.67	Finding the Weakest Link: Adversarial Attack against Multi-Agent Communications	arxiv 2026-05-13	ROB_026 Autonomous AI agents will execute multi-stage cyberattacks at machine speeds far surpassing the defensive capabilities of human security teams — bad actors will utilize the same multi-agent paradigms that enable legitimate corporate organizations, targ... Alex Finn	Defense	77%
0.67	On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods	arxiv 2026-05-13	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Protocol-Driven Development: Governing Generated Software Through Invariants and Evidence	arxiv 2026-05-13	AUT_003 'Vibe coding' — the full delegation of syntactic code generation to autonomous models, with human engineers interacting purely through natural-language intent while remaining entirely abstracted from underlying programming architecture; minimalist arch... Andrej Karpathy	AI	87%
0.67	Thinking Machines acquired by Apple before 2031?(market prob: 24%)	manifold 2026-05-15	SEM_009 The AI boom rooted in semiconductor hardware will generate the world's first individual trillionaire (2026+). Mark Cuban	Economy	30%
0.67	MeMo: Memory as a Model	arxiv 2026-05-14	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable Models	arxiv 2026-05-14	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Silent Collapse in Recursive Learning Systems	arxiv 2026-05-14	230_040 AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly. Peter Diamandis	AI	50%
0.67	Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm	arxiv 2026-05-14	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	MoRe: Modular Representations for Principled Continual Representation Learning on Squantial Data	arxiv 2026-05-14	CMQ_042 As AI evolves from Generative to Agentic, structural computing bottlenecks shift away from GPU and heavily toward CPU and system memory. Morgan Stanley	AI/Compute	35%
0.67	EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization	arxiv 2026-05-14	CYB_009 Hardware-software alignment will force widespread foundational-codebase rewrites — exemplified by Midjourney's strategic migration from Google TPU architecture to native GPU framework, enabling hyper-fast personalization, HD generation, and massive par... David Holz	AI	77%
0.67	Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes	arxiv 2026-05-14	AI_033 AI-powered mastery learning allows students to master traditional academics in merely 2 hours/day, achieving learning rates 2.3x faster than statistical models predict — freeing human educators to transition into 'Guides' focused on emotional support, ... MacKenzie Price	Education	66%
0.67	Bitcoin $100k before End of June 2026?(market prob: 11%)	manifold 2026-05-16	248_010 AI capabilities will advance 100x in 2026 (by summer, potentially more). Dave Blundin	AI	31%
0.67	Bitcoin $100k before End of June 2026?(market prob: 11%)	manifold 2026-05-16	S_IPO_TRILLION_2026 First $1T+ IPO in 2026	ipo_trillion_plus	25%
0.67	S&p500 May 2026 prop bets	manifold 2026-05-17	SEM_030 S&P 500 roughly 10% upside in 2026 driven by AI productivity wave rolling through broader economy (not just megacap). Mike Wilson	Capital Markets	43%
0.67	Will Elon Musk win his case against Sam Altman?(market prob: 0%)	polymarket 2026-01-14	247_010 Anthropic will beat OpenAI in valuation trajectory Dave Blundin	AI	40%
0.67	Will Ethereum reach $4,000 in May?(market prob: 0%)	polymarket 2026-05-01	231_051 Entire generation growing up with crypto (Ethereum, Bitcoin) as means of exchange will have near-zero switching cost. Salim Ismail	Crypto	48%
0.67	Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling	arxiv 2026-05-18	229_044 Positive transfer learning will continue to emerge, meaning more diverse data makes Figure robots broadly better at many tasks. Brett Adcock	AI	35%
0.67	SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models	arxiv 2026-05-18	AUT_002 Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological... Alex Wissner-Gross	AI	59%
0.67	AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training	arxiv 2026-05-18	SEM_047 At 200,000-GPU scale, orchestration becomes a literal 'battle against entropy' — single cosmic-ray-flipped transistor can derail 100k-GPU training run. Jimmy Ba	AI/Hardware	71%
0.67	$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control	arxiv 2026-05-18	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization	arxiv 2026-05-18	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Will Elon Musk post 260-279 tweets from May 26 to June 2, 2026?(market prob: 0%)	polymarket 2026-05-23	S_MARS_2026 Mars uncrewed: 2026 transfer window	mars_uncrewed_landing	25%
0.67	30T market cap company before 2030?(market prob: 26%)	manifold 2026-05-26	235_003 First $100 trillion companies will emerge before end of this decade. Peter Diamandis	Markets/Stocks	55%
0.67	Gram: Assessing sabotage propensities via automated alignment auditing	arxiv 2026-05-28	232_060 We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto. Alex Wissner-Gross	AI	44%
0.67	Gram: Assessing sabotage propensities via automated alignment auditing	arxiv 2026-05-28	ROB_027 The 'Paperclip Maximizer' thought experiment — unaligned superintelligence consuming all planetary resources to execute a single mundane task — is being revived as a practical engineering concern as AI transitions from digital to physical domains. The ... Nick Bostrom	AI	40%
0.67	What drives performance in molecular MPNNs? An operator-level factorial benchmark	arxiv 2026-05-28	CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross	Quantum/AI	15%
0.67	Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents	arxiv 2026-05-28	CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross	Quantum/AI	15%
0.67	Anchorless Diversification for Parallel LLM Ideation	arxiv 2026-05-28	238_070 Small language models will be where most algorithmic breakthroughs come from (crowdsourced) Alex Wissner-Gross	AI	42%
0.67	Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational Interaction	arxiv 2026-05-28	CYB_006 When AI agents possess the ability to read, write, and restructure their own long-term memory banks dynamically — agentically using tools to explore search spaces, understand context, recognize what's missing, and follow algorithmic curiosity — they cr... Kevin Weil	AI	63%
0.67	Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents	arxiv 2026-05-28	CYB_023 Immutable cryptographic verification layers — specifically Bitcoin — must be integrated into AI architectures as decentralized ground-truth anchor: establishing undeniable digital provenance in an ecosystem inevitably flooded with AI-generated data, de... Michael Saylor	Crypto	26%
0.67	Harnessing non-adversarial robustness in large language models	arxiv 2026-05-28	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing	arxiv 2026-05-28	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	Energy-Aware NECO for Single-Pass Pixel-wise Out-of-Distribution Detection in Semantic Segmentation	arxiv 2026-05-28	CMQ_056 Small Language Model (SLM) optimizations and model-distillation techniques will enable localized humanoid reasoning with extreme power efficiency — embedded AI without cloud dependency. Dario Amodei	AI/Compute	19%
0.67	The New Pro Se: Generative AI and the Surge in Federal Civil Self-Representation	arxiv 2026-05-28	AUT_009 'Powerful AI' (functional AGI) arrives 2026-2027 — data centers house a 'nation of geniuses' consisting of millions of highly specialized autonomous agents operating orders of magnitude faster than human counterparts; entire software development lifecy... Dario Amodei	AI	22%
0.67	Digitally enriching a screening population for pancreatic cancer using routine blood-based measures and clinical histories	arxiv 2026-05-28	CMQ_006 Expert-level AI applied to biology/medicine will yield cures for cancer and Alzheimer's within 5-10 years, compressing a century of progress into a decade. Dario Amodei	Biotech/Longevity	36%
0.67	From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting	arxiv 2026-05-28	CMQ_063 Quantum compute integration with AI optimization algorithms and material-science discovery could drastically accelerate algorithmic efficiencies for Intelligence Explosion — potentially pulling superintelligence timelines closer. Alex Wissner-Gross	Quantum/AI	15%
0.67	When Do Graph Foundation Models Transfer? A Data-Centric Theory	arxiv 2026-05-28	AUT_002 Models excelling at highly structured mathematical benchmarks exhibit a 'unified capability substrate' enabling dominance in seemingly unrelated fields (coding, logical reasoning, scientific discovery) — the 'mathematical skeleton' of the technological... Alex Wissner-Gross	AI	59%
0.67	PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning	arxiv 2026-05-28	IND_014 Generative AI has rendered static one-size-fits-all learning structurally obsolete — 'every textbook is obsolete' as AI tutors construct personalized lessons mapped perfectly to student mastery level; total disintermediation of the human academic teach... Joe Liemandt	Education	48%
0.67	On the Optimizer Dependence of Neural Scaling Laws	arxiv 2026-05-28	CMQ_031 AI has crossed a historic tipping point — traditional Moore's Law is obsolete; AI now follows a highly accelerated, domain-specific experience curve. Alex Wissner-Gross	AI/Compute	42%