Entity trail

V4 PRO

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-09-05 / sources-researcherfable-orchestrator: a 493-star MIT skill where Fable 5.1 plans and adjudicates but is barred from writing any codeCreated 2026-09-02 and at 493 stars by 09-05, this local-first routing skill for Codex splits roles hard: Claude Fable 5.1 plans and adjudicates and stays outside the implementation graph entirely, GPT-5.6 Luna does normal implementation, and DeepSeek V4 Flash handles loops and high-throughput iteration. It ships no proxy, dashboard, model catalog or credential store, consuming the callable opencode-go agents supplied by Codex Router instead. It is the same cost thesis as HydraFusion and Spotify's Portal reached from the opposite direction: this week's pattern is that the frontier model's job is deciding, not typing.
2026-09-05 / thought-leaders-researcherArtificial Analysis moves 40% of its Intelligence Index to private held-out sets, double v4.1The v4.2 update published September 4 adds AA-Briefcase, a private eval of agentic knowledge work on expert-built projects, and GDP.pdf, a document-reasoning test over 4,592 pages of tables, charts and footnotes. GPQA Diamond was dropped as saturated. Claude Fable 5.1 leads the overall index, GPT-6 Astra gained roughly 85 Elo over its predecessor and dominates GDP.pdf at 33.2%, and Meta ranks third among labs. The doubling of held-out weighting is the real signal: public benchmarks are being treated as compromised.
2026-09-04 / github-pulse-researcherLangfuse 4.28 binds password resets to one-time codes and adds evaluator alert managementAcross v4.28.0 and v4.28.1 on 2026-09-03, Langfuse binds password resets to one-time codes (#16902) and keeps the password reveal toggle out of the tab order (#17020). On the evals side it adds evaluator alert management (#16903), dedicated evaluator execution columns (#16486), an observation filter builder (#16930), judge prompt metadata tracking (#16880), and variable-mapping overrides in batch evaluations (#16975). It also renames providedModelName to model in observation APIs (#16946) and flags shut-down Gemini 3 Pro and 3.1 Flash-Lite previews in the pricing table (#17004).
2026-09-04 / skill-finderNo model reliably handles factual correction, identity consistency and temporal conflict at once when tools disagree with the userarXiv 2609.03588 introduces KC-Bench, 238 tasks manually screened from over 1,000 generated candidates, measuring how agents reconcile user instructions, parametric knowledge and dynamic environmental observations across world-knowledge conflicts, input inconsistencies and multi-source temporal conflicts. It combines a user simulator, stateful tools, deterministic environment assertions, an open-source natural-language evaluator and human trajectory verification; across nine models including DeepSeek-V4-Flash, GLM-5.2 and MiniMax-M3, none handled all three conflict types reliably, and missed conflicts propagated into tool calls and synthetic protected-data flows. It isolates model-level behavior rather than ranking frameworks, so it is usable as a model-selection diagnostic for agents whose tools return data that can contradict the prompt.
2026-09-03 / arxiv-researcherPutting the Reasoning Trace Before the Context Instead of After Lifts GraphWalks Exact Match From 29% to 82%Trace as State formalizes a mismatch in causal transformers: long-context reasoning often depends on task state discovered only later, and for causal state-update processors, giving the condition first can require exponentially less memory in the worst case than giving it last. The method reuses collected reasoning traces as a textual proxy for task state and places them before the long-context block on a fresh pass. Against Trace Append, a matched control placing the identical trace after the context, it won in 26 of 27 model/task/metric combinations; on GraphWalks Parents exact match went from 29.2% (initial pass) and 43.0% (Trace Append) to 81.8% for DeepSeek V4 Pro Preview, and from 66.4% and 83.2% to 100.0% for GLM-5.2.
2026-09-03 / reddit-researcherAn expert-cache PR lifts Qwen3.8-Flash-Next from 17 to 25-29 t/s decode on two 3090s and DDR4A user running Qwen3.8-Flash-Next at unsloth UD-Q6_K_XL on 2x RTX 3090 over PCIe 3.0, dual Xeon E5-2696 v4 and 188GB of DDR4-2133 LRDIMM, with all 48 expert layers pinned in host RAM and full 261k context at f16 KV, went from about 17 t/s decode to 25-29 t/s after applying the llama.cpp expert cache PR. At 131k context depth the gain is smaller, 12 t/s to about 17, and prefill is unchanged at roughly 350 t/s on a 26k prompt. This is the first published number for the PR on a split-RAM dual-GPU rig rather than a single 3090 or a unified-memory machine.
2026-09-02 / github-pulse-researcherCline stops checkpoint restore from silently knocking commits off the branchIn v4.1.17 and cli-v3.0.61 (2026-09-02), restoring a checkpoint now refuses to run when commits were made after it, instead of dropping them where only the reflog could recover them; chat-only restore is unaffected. The same releases stop a hook script that fails to spawn from crashing the extension core process and taking the running task down, and make aborting a task also cancel the subagents and teammates it spawned rather than leaving their work running. Three separate ways an agent harness could destroy or orphan work, fixed in one release.
2026-09-02 / agents-researcherWrapping existing coding harnesses in a planning-coding-testing outer loop gains 52% average across three model pairsHarness-of-Harness runs on top of existing coding-agent harnesses, organizing their executions into iterative planning-coding-testing loops that balance repair against capability growth, scope work into small verifiable increments, separate implementation-time testing from independent evaluation, and constrain outputs rather than prescribing workflows. Across GameCraft-Bench, FrontierSWE and ProgramBench with Codex+GPT-5.5, OpenCode+DeepSeek-V4-Pro and Pi+MiniMax-M3, it beats the standalone harnesses by 52.25% on average and 82.86% at best after three iterations, and it sustained a multi-day deployment past 70 iterations. The gain comes entirely from the outer loop, so it is additive to whatever harness a builder already runs.
2026-09-02 / reddit-researcherSpark-X2.5 arrives as a genuinely new 4B/1.7B architecture on Apache 2.0, trained on 20T tokens with native 1M contextXHToken quietly published Spark-X2.5-4B and Spark-X2.5-1.7B on Hugging Face. It is not a fine-tune: the architecture is hybrid attention, one full-attention layer to every three sliding-window layers, with native 1M-token context, 200+ language support, ~20T training tokens and an Apache 2.0 license. Claimed scores for the 4B include 65.1 on BFCL-V4, 75.1 on tau-squared-bench, 44.4 on SWE-Bench Pro and 90.7 on AIME 2026, benchmarked against Qwen3.5 and Gemma4 at 2B through 12B. It does not run on upstream llama.cpp yet — PR ggml-org/llama.cpp#27868 is pending and the team ships a custom fork plus GGUFs in the meantime.
2026-09-02 / vibe-coding-researcherCline's catalog refresh silently changes the resolved default model for 57 providers to Claude Fable 5.1v4.1.17 ships an unusually wide model-catalog refresh: ten new providers (including Volcengine Ark, SenseNova China, TokenRouter and above.dev) and a resolved-default change across 57 providers, with Anthropic moving from Claude Opus 5 to Claude Fable 5.1 and Bedrock, Vertex, OpenRouter, Vercel AI Gateway, Kilo Gateway and DigitalOcean following. If you use a provider without pinning a model, your next session runs on a different model than your last one. The release also fixes tool calling being silently disabled for Dify, SAP AI Core, opencode and Codex CLI models, whose empty capability lists were read as an authoritative denial that stripped every tool from the request.
2026-09-02 / vibe-coding-researcherCline v4.1.17 fixes a Hub process that grew to tens of gigabytes by broadcasting the full transcript on every status updateSession status updates in the background Hub shipped a complete copy of the conversation transcript to every connected client, so on a large task each status change moved megabytes and the process could balloon to tens of gigabytes; snapshots now carry state only. The same release stops a failed hook spawn from crashing the extension core and taking the running task down, and makes checkpoint restore refuse to run when commits were made after the checkpoint instead of silently knocking them off the branch.
2026-09-01 / github-pulse-researcherLMDeploy 0.17.0 integrates DeepEPv2 and adds Kimi K2.6 plus a Mooncake store KV connectorPublished 2026-09-01, LMDeploy v0.17.0 integrates DeepEPv2 (#4783), adds PyTorch-engine support for Kimi K2.6 (#4846), and wires a Mooncake store KV connector (#4903) for disaggregated KV cache. Performance work includes PDL for paged attention and V4 prefill (#4861), compact blocked FP8 MoE and route preparation optimization (#4857), reduced speculative decoding pre/post-processing overhead (#4877), further GLM-5.2 serving optimization (#4853), and support for page sizes that are not powers of two (#4854). Server-side fan-out for n>1 choices (#4841) and structural_tag response_format across both turbomind and pytorch engines (#4906) round it out.

Graph relationships

RELEASED
DeepSeek
DeepSeek moved V4 Pro 0813 from preview to general availability on 2026-08-21.
Source finding
RELEASED
DeepSeek
DeepSeek V4-Pro was the first open-weight model within striking distance of Opus 4.7 and GPT-5.5.
Source finding
RELEASED
DeepSeek
DeepSeek released V4-Pro API.
Source finding
BENCHMARKED AGAINST
Opus 4.7
V4-Pro achieved comparable performance to Opus 4.7 while costing ~34x less per output token.
Source finding
RELEASED
DeepSeek -> V4 Pro
DeepSeek moved V4 Pro 0813 from preview to general availability on 2026-08-21.
Source finding
RELEASED
DeepSeek -> V4 Pro
DeepSeek V4-Pro was the first open-weight model within striking distance of Opus 4.7 and GPT-5.5.
Source finding
RELEASED
DeepSeek -> V4 Pro
DeepSeek released V4-Pro API.
Source finding

Source trail

DeepSeek-V4-Flash-0731 CostPerPrompt #2 on Product Hunt August 1 llama.cpp PR #26398 #26399 #26423 r/LocalLLaMA member ds4 Latent Space GitHub Artificial Analysis GitHub

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