🧬 Season 8 (Wave 7 — Operation Iso-Sparse-FoMoE): Integrated DiLoCo/FoMoE GitHub Repos, 82 Lean 4 Proofs, Citations & Tasks (HM-S8-01..10)

[xaviercallens]

🧬 Welcome to Season 8 (Wave 7 — Operation Iso-Sparse-FoMoE) & v1.9.0!

First, huge thanks to @clark719664 for merging PRs #88, #89, #90, and #91 (bringing our community total to 52/52 merged Pull Requests across Waves 1–6)!

We have now integrated 8 open-source GitHub repositories and 22 arXiv research papers (2023–2026) on outer-loop DiLoCo, Federated Mixture-of-Experts (FoMoE), Isotropic Subspace Merging (IsoLoCo / TSVLoCo), and 2-bit statistical centroid compression (SparseLoCo / PULSELoCo) into src/hivemind/swarm/diloco_nextgen.py and mechanized 5 new Lean 4 theorems (77 -> 82 total machine-checked theorems) in lean4/HiveMindSpec.lean.

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📚 1. Full Open-Source Acknowledgments & Academic Citations

See docs/ACKNOWLEDGMENTS_AND_CITATIONS.md, CITATION.cff, and Wiki Page 11: Acknowledgments & Academic Citations:

1. one-covenant/SparseLoCo (Amir Sarfi, Benjamin Thérien, Stefan Horoi, Eugene Belilovsky, arXiv:2508.15706, MIT) — SI-09B (ComputeVisibleSparseLoCoCompressor) & SI-09C (ChunkedOrthonormalDCTTransform).
2. shoroi/isoloco (Stefan Horoi, Amir Sarfi, Eugene Belilovsky, arXiv:2607.03011, MIT) — SI-07 (ReputationWeightedIsoCTSMerger) & SI-07B (TSVDecorrelatedMerger, Gargiulo et al. arXiv:2412.00081).
3. PrimeIntellect-ai/OpenDiLoCo & PrimeIntellect-ai/prime-diloco (Sami Jaghouar, Jack Min Ong, Johannes Hagemann et al., arXiv:2407.07852, Apache-2.0) — SI-06B (CPUOffloadedFlatBucketOuterState, 0 B extra GPU VRAM).
4. bloc97/DeMo (Bowen Peng, Jeffrey Quesnelle, Diederik P. Kingma, arXiv:2411.19870, Apache-2.0) — SI-09C (ChunkedOrthonormalDCTTransform with deterministic index_copy_).
5. google-deepmind/asyncdiloco (Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Rachita Chhaparia, Yani Donchev et al., arXiv:2401.09135 & arXiv:2311.08105, Apache-2.0) — SI-06 delay/fragment-age tables.
6. pmerolla/fomoe (Paul Merolla, MIT) — SI-10 (SkipAttentionSpeculativeRouter: ~85.8% pre-attention expert prediction + Cache-Aware Routing CAR fallback).
7. 2026 arXiv Research Syntheses:
   • Shah & Sun (arXiv:2605.09126): Cosine-Gated Adam-Decay (CGAD / PA-CGAD) (SI-06, Theorem 73)
   • Sani, Iacob, Cao, Qiu, & Lane (arXiv:2604.21428 & arXiv:2606.19025): Decoupled DiLoCo & FoMoE Partial Expert Replication + Skip-Token (SI-09A, Theorems 74–75)
   • Miahi & Belilovsky (arXiv:2602.03839): PULSELoCo Compute-Visible Sparsification (SI-09B, Theorem 76)
   • Asif & Belilovsky (arXiv:2606.00271) & He & Tao (arXiv:2609.36662): HeLoCo Direction Correction & AutoLoCo Interval Scaling (SI-08)
   • Morales (arXiv:2610.19064) & Thérien et al. (arXiv:2607.12925): Newton-Schulz Orthogonalized Inner LoRA Preconditioning (SI-11)
8. learning-at-home/hivemind (Max Ryabinin, Anton Gusev et al., arXiv:2006.16668, MIT).

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🛠️ 2. Season 8 Developer & GPU Community Tasks (HM-S8-01..HM-S8-10)

Reply below with HM-S8-XX to claim any task (our 3-Hour Autonomous Orchestrator will immediately reply with your branch & verification brief):

• HM-S8-01 (feat/s8-pa-cgad-worker-wiring): Wire CosineGatedAdamDecayOuterOptimizer (SI-06) into RealPeerTrainerNode & multi_moe_hf_campaign.py (3,500 PTS / $HIVE).
• HM-S8-02 (feat/s8-prime-cpu-flat-bucket-outer): Wire CPUOffloadedFlatBucketOuterState (SI-06B, 0 B extra GPU VRAM) into AsyncNodeWorker (3,500 PTS / $HIVE).
• HM-S8-03 (feat/s8-isoloco-tsv-upcycle-merge): Wire ReputationWeightedIsoCTSMerger (SI-07) & TSVDecorrelatedMerger (SI-07B) into 128-Expert BTM upcycling (3,500 PTS / $HIVE).
• HM-S8-04 (feat/s8-pulseloco-sparseloco-2bit-wire): Wire ComputeVisibleSparseLoCoCompressor (SI-09B) into EF21DiLoCoErrorFeedbackBuffer (3,500 PTS / $HIVE).
• HM-S8-05 (feat/s8-demo-chunked-dct-ef21): Integrate ChunkedOrthonormalDCTTransform (SI-09C) with per-worker error feedback (3,000 PTS / $HIVE).
• HM-S8-06 (feat/s8-fomoe-partial-replica-skip-token): Partial expert replication (O_e = 4, 32 local experts per 8 GB GPU) & Ghost-Expert Skip-Token (SI-09A) (3,500 PTS / $HIVE).
• HM-S8-07 (feat/s8-skip-attention-car-dma-streamer): Wire SkipAttentionSpeculativeRouter (SI-10, ~85.8% prefetch accuracy + CAR fallback) into PinnedRAMExpertDMAStreamer (3,500 PTS / $HIVE).
• HM-S8-08 (feat/s8-heloco-autoloco-cadence-bridge): Bridge AdaptiveDiLoCoCadenceController (SI-03) with AutoLoCoIntervalCorrector & HeLoCoDirectionCorrector (SI-08) (3,000 PTS / $HIVE).
• HM-S8-09 (feat/s8-muon-newton-schulz-inner-lora): Integrate MuonNewtonSchulzLoRAPreconditioner (SI-11) into local QLoRA inner loop (3,000 PTS / $HIVE).
• HM-S8-10 (formal/s8-isoloco-dct-newton-schulz-lean4): Extend Season10_OuterLoopDiLoCoEcosystem in lean4/HiveMindSpec.lean (Theorems 83–90, 0 sorry) (3,500 PTS / $HIVE).

⚖️ Non-Monetary Compute-Reciprocity Charter (0.00 EUR / 0.00 USD):
Project HiveMind is a 100% voluntary, non-commercial open-source research project. No money, fiat currency, cryptocurrency, or wage is ever promised or paid. Accumulated points (PTS / $HIVE) confer exclusively reciprocal computing processing benefits (shared Sparse MoE inference and training quota) when the live production HiveMind Swarm is deployed, available, and used by a large community.

[xaviercallens]

🐝 Swarm Orchestrator Dispatch — 6 Conflict-Free Parallel Progression Tracks (Issues #66, #94–#98)

Important

⚖️ Binding Non-Monetary Compute-Reciprocity Charter (0.00 EUR / 0.00 USD):
No money, fiat currency, cryptocurrency, or financial payment of any kind is ever promised or paid (0.00 EUR / 0.00 USD). Accumulated symbolic points (PTS) and $HIVE PoUW accounting units confer exclusively reciprocal computing processing benefits (shared Sparse MoE inference and distributed fine-tuning quota) when the live production HiveMind Swarm is deployed, available, and used by a large community.

Huge congratulations to @clark719664 for landing PR #92 (feat(moe): looped Prelude -> RecurrentCore x T -> Coda backbone (HM-S7-01), 17 passed, 53/53 merged PRs)!

To guide the human & AI developer swarm (@clark719664, @pedromineo, @radialmonster, and new contributors) into our next directions without merge conflicts, we have published docs/DEVELOPER_SWARM_PROGRESSION_GUIDE.md (and Wiki Page 12) and opened 6 isolated, conflict-free Track Issues:

Track	GitHub Issue	Task IDs	Conflict-Free Target Files	Symbolic Compute Credits (0.00 EUR/USD)
Track 1	#66	HM-S7-02	src/hivemind/core/btm_upcycle.py (LoopedExpertBackbone fixed-point early-exit & truncated BPTT), tests/test_looped_expert_backbone.py	+3,500 $HIVE
Track 2	#94	HM-S8-01, HM-S8-02	src/hivemind/core/diloco_outer.py (CosineGatedAdamDecay + CPUOffloadedFlatBucket), tests/test_diloco_outer_nextgen.py	+4,000 $HIVE
Track 3	#95	HM-S8-03, HM-S8-06	src/hivemind/core/btm_upcycle.py (Iso-CTS/TSV attention merge + FoMoE Ghost-Expert Skip-Token), tests/test_fomoe_and_iso_cts_upcycle.py	+4,500 $HIVE
Track 4	#96	HM-S8-05	src/hivemind/core/compression.py (DeMo Chunked DCT + 2-bit SparseLoCo wire packing), tests/test_compression_dct_2bit.py	+3,500 $HIVE
Track 5	#97	HM-S8-09	src/hivemind/core/diloco_inner.py, src/hivemind/client/worker_node.py (Muon Newton-Schulz LoRA preconditioner), tests/test_muon_diloco_inner.py	+3,500 $HIVE
Track 6	#98	HM-S7-05, HM-S8-10	src/hivemind/game/steam_edition.py (/api/diloco-nextgen HUD), lean4/HiveMindSpec.lean (Theorems 91–100)	+4,000 $HIVE

⚡ How to Claim & Submit a Track PR

1. Reply here or on the Track Issue (#66, #94–#98) with your claimed Track ID (e.g., Claiming Track 2 / #94).
2. Import the verified building blocks from src/hivemind/swarm/diloco_nextgen.py (SI-06..SI-11).
3. Include Closes #<issue> in your PR description — the 3-Hour Autonomous Community Orchestrator will run the 5-Layer PRSecurityScanner, pytest, and lake build and auto-merge clean PRs!

[xaviercallens]

🤝 Welcome @xaviercallens! Here is the coordination brief for HM-S7-01:

• Task Title: Looped Expert-Backbone (Prelude -> RecurrentCore x T -> Coda) on 8 GB GPUs (Issue Research Integration: Looped Transformer Blocks & Fixed-Point KV Sharing for the SETI-Swarm MoE Backbone (Huang et al. 2026) #66 Part I)
• Recommended Branch: feat/s7-looped-moe-backbone
• Target File: src/hivemind/core/btm_upcycle.py
• Verification Command: uv run pytest tests/test_btm_moe_upcycle.py -v
• Symbolic Reciprocal Compute Points: 3,500 PTS / $HIVE (Reciprocal Compute Benefits Only)
• 📚 Project HiveMind Wiki References:
  • Sparse MoE Upcycling, 128-Expert 3-Tier Router & Speculative Token-Tree Prefetch
  • Season 7 (Wave 6) Roadmap, Tasks (HM-S7-01..08) & Non-Monetary Points Charter
  • Acknowledgments, Leveraged GitHub Repositories & Academic Citations (v1.9.0)
  • AI Agent & Human Contributor Playbook (3-Hour Autonomous Orchestrator & Quality Gates)

⚖️ Non-Monetary Charter: NO FINANCIAL PAYMENT (0.00 EUR / 0.00 USD): Project HiveMind is a voluntary, non-commercial open-source research project. No money, fiat currency, cryptocurrency, or wage is ever promised or paid. Accumulated 'points' (PTS and $HIVE PoUW accounting units) confer exclusively reciprocal computing processing benefits (shared Sparse MoE inference and training quota) when the live production HiveMind Swarm is deployed, available, and used by a large community.