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Del Zota The One Safety Question Made Exact
A shear study on del-zota (AOC 1044, Avidity Biosciences) for Duchenne muscular dystrophy amenable to exon 44 skipping. Angle: SEAL. Lifecycle: standing charter, molecular court dark β the payload sequence is not public. The subject under grading is the safety instrument β never the medicine, the company, or a patient.
Duchenne begins in a single gene. A mutation in DMD breaks the reading frame, so little or no working dystrophin is made, and muscle rebuilds slower than it is spent. It is progressive: signs usually appear between two and five, walking gets harder through childhood, and the heart and the muscles of breathing are drawn in later. With today's care β corticosteroids, cardiac and respiratory support, a multidisciplinary team β many young men now live well into their thirties and beyond; the older survival numbers that still circulate belong to an earlier era of care, and the line is moving in the right direction.
One subgroup stands slightly apart, and it is exactly the one del-zota is built for: boys whose mutation is amenable to exon 44 skipping, roughly 6% of the Duchenne population. Natural-history cohorts show this group tends to progress more gently β independent walking is kept about two years longer on average, there are more "revertant" dystrophin-positive fibers, and a little exon 44 skips on its own, partly mending the frame with no drug at all. That is real good news for these families. It is also a confounder worth naming out loud, because it shapes how the early numbers should be read: a milder baseline makes a single-arm result look better against natural history than a randomized trial would.
Del-zota (AOC 1044) is an antibody-oligonucleotide conjugate, and the idea behind it is the kind that changes what is reachable. A humanized antibody against transferrin-receptor-1 (TfR1) β abundant on muscle β carries multiple copies of an exon-44-skipping oligonucleotide into the fiber, a delivery gateway a naked or peptide-linked oligo cannot match; the peer-reviewed mechanism paper reports the conjugate delivering markedly more oligo to skeletal muscle than a peptide-conjugated comparator in preclinical models, and the Phase 1/2 program went on to measure real muscle delivery and skipping in people.
The payload's mechanism matters more than any single number here, because it governs the whole safety story. The oligonucleotide is a phosphorodiamidate morpholino (PMO) working by steric block: it base-pairs to the exon-44 region of the DMD pre-mRNA and hides that stretch from the spliceosome, so exon 44 is left out, the reading frame is restored, and an internally shortened but functional dystrophin is made. A PMO does not recruit RNase H and does not cleave RNA. So its off-target consequence is off-target splicing, not off-target cleavage β the distinction that decides which question below can be made exact.
The results are the strongest this subgroup has seen. On the biomarker (5 mg/kg, three doses), the sponsor reported exon-44 skipping rising from about 7% to about 44%, dystrophin rising from about 7% to about 32% of normal (a roughly 25-percentage-point increase, the sponsor's headline figure), and creatine kinase falling to near-normal β an order of magnitude past what the four approved exon-skippers reach for other exons. A September 2025 functional update (17 participants, ~12 months, against matched natural history) moved the right way across stair-climb, walk/run, time-to-rise, NSAA and PUL2. Those functional figures are sponsor-reported, open-label, small-N, measured against external natural history in a slower-progressing subgroup β genuinely promising, and not yet a randomized result. The confirmatory Phase 3, SAFARI44, is what converts them; del-zota carries Breakthrough Therapy, Fast Track, Orphan and Rare Pediatric designations, with a BLA submission planned for Q1 2026.
This is real hope, and it deserves to be read as hope. The case below is not about the medicine. It is about which safety question a computer can answer exactly, and which it cannot.
Del-zota's most computable safety risk is the one every splice-switching oligo carries, and it is not hypothetical. An oligo of this type can bind and perturb splicing not only at its target but at other sites in the transcriptome that are only partly complementary. The anchoring measurement is Scharner et al. (NAR, 2020): of 108 predicted partially-complementary sites for one splice-switching oligo, 17 produced real mis-splicing β with effects appearing at as few as 12 of 18 nucleotides paired, tolerating G:U wobbles, terminal mismatches and short bulges. Their own verdict is the seam: these off-targets are hard to predict, and the standard in-silico ranker they used scores candidates by a floating-point minimum-free-energy value prone to both false positives and false negatives.
That is exactly where an exact instrument fits, and it fits well:
- The question is discrete. WatsonβCrick pairing is a rule over an integer alphabet. "Where in the human transcriptome can this 20β25-mer bind within k mismatches and bulges?" is an exhaustive enumeration β finite, bounded, one right answer.
- The answer is re-derivable. An integer complementarity count returns the same off-target set on every machine, with no thermodynamic parameter set to choose and nothing to round. A regulator can reproduce it byte-for-byte, years later.
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The conventional score shears. A ΞG/MFE heuristic rides on a nearest-neighbor parameter set; published sets differ within their own stated uncertainty, and the candidate list reorders and reclassifies as parameters and rounding move. That is the same exact-versus-float shear measured out of domain on the fusion court β Study 34 on the observer/Ο-bracket axis, Study 35 on the time axis β and shown for antisense off-target on synthetic sequences locally (
reproduce/aso-offtarget-exact-vs-float.swift, markerASO_OFFTARGET_EXACT_IS_OBSERVER_INVARIANT) and in its CRISPR-guide sibling (reproduce/crispr-guide-offtarget-exact-vs-float.swift, markerCRISPR_OFFTARGET_EXACT_IS_OBSERVER_INVARIANT).
The honest verdict type is a design-stage SEAL: given the payload sequence, emit the exhaustive, re-derivable list of every near-complementary transcript site inside a stated mismatch/bulge budget β a certificate a reviewer reproduces exactly, in place of a float heuristic the field itself distrusts.
And here is the boundary, drawn as loudly as the claim: del-zota's PMO ("PMO44") sequence is not public. The peer-reviewed mechanism paper names the lead and its potency but does not print the bases, and reports no transcriptome-wide off-target analysis. So for the real molecule the molecular court is dark β this is a charter for a seal, not a completed one. The local demo runs on synthetic 20-mers; it shows the kind of exact-versus-float divergence, and no run on del-zota is claimed. The seal becomes a live verdict the moment the sponsor or a regulator puts PMO44 on the table.
The instrument answers a sequence question. Most of what remains of del-zota's safety is chemistry, immunology and pharmacokinetics β none of it a discrete enumeration, and the boundary belongs in the open. Hypersensitivity and infusion-reaction risk is real for this antibody-conjugate class and has been reported in the program; anti-drug-antibody and infusion-reaction risk is a wet-lab and clinical question, not a base search. TfR1 is also present at the blood-brain barrier and on red-cell precursors, so hematologic effects are a genuine class consideration β the sponsor specifically reported no symptomatic hemoglobin changes, which is reassuring, and which is a biology measurement, not a sequence one. Conjugate stability, drug-antibody ratio and payload release are PK and CMC. Tissue distribution, dosing interval, durability and delivery to the heart are PK/PD. And because a PMO does not cleave, the hepatotoxicity story that dominates gapmer antisense does not transfer directly; the off-target consequence here is splicing perturbation, which still begins at complementarity β where the instrument fits β but whose downstream biological harm is an assay question, where it does not.
One bounded thing, and it is worth saying precisely because it is bounded. The exact method can hand a reviewer a complete, re-derivable map of the payload's off-target complementarity β better and more reproducibly than the float ranker that is standard today β the moment the sequence exists to run it on. It cannot certify that del-zota is safe: it is silent on immunogenicity, the antibody and its conjugation, hematology, distribution and dosing. Underselling that would be as wrong as overselling it. The instrument covers one slice of safety, exactly, and only that slice.
For the exon-44 subgroup there is no approved skipper today, so the honest comparators are these. Brogidirsen (NS-089/NCNP-02, Nippon Shinyaku) is the direct rival β a dual-targeting antisense oligo for the same population, in global Phase 2, with investigator-initiated long-term data (3.5-year at WMS 2025, 4.5-year at MDA 2026) reporting exon-44 skipping, dystrophin expression, maintained ambulatory function, and no serious or severe adverse events and no discontinuations over 3.5 years. It is the peer to watch; cross-trial efficacy comparisons are not valid without a head-to-head. The approved exon-skippers for other exons β eteplirsen, golodirsen, viltolarsen, casimersen β do not treat exon-44 patients, and their dystrophin restoration was low (~1β2% of normal) with clinical benefit still debated; they set a bar del-zota's ~32% appears to clear by a wide margin, with "appears" the honest word until SAFARI44. Elevidys, the AAV micro-dystrophin gene therapy, reaches some exon-44 patients and carries a real current signal: in November 2025 the FDA added a Boxed Warning for acute serious liver injury and restricted it to ambulatory patients after two deaths from acute liver failure β a fair comparison notes both its single-dose appeal and that hepatic risk. Beneath all of these, corticosteroids and cardiac-respiratory care remain the backbone any new drug is added to, not a rival it replaces.
A re-derivable off-target-complementarity verdict costs one deterministic enumeration and can be produced before a first patient is dosed. What it is licensed against is a late-stage failure or a post-marketing safety signal β years, R&D, and, for a progressive childhood disease, the treatment window itself. For del-zota specifically, the instrument does not decide the drug; it hands a reviewer one bounded certificate they can reproduce exactly, and it is ready the moment PMO44 is on the table.
Picture the exact instrument sitting beside the designers on the first day AOC 1044 was drawn β before an animal, before a patient. This is a counterfactual, and only that (ARGUMENT β nothing here was computed on the real PMO44 sequence, which is still dark; the number to run it on does not exist in public). But the shape of what it would have produced is concrete, and it is worth seeing.
At the design stage, the moment a candidate 20β25-mer was written down, the instrument would have returned a complete, re-derivable off-target complementarity map against the reference transcriptome: every site the payload can bind within a stated mismatch/bulge budget, enumerated exhaustively, with one right answer and nothing to round. Not a ranked shortlist that reorders when a parameter set is swapped β the full set, reproducible byte-for-byte by a reviewer years later. On the actual path, that seam was carried instead by a float MFE ranker the field itself distrusts (Scharner 2020) and by clinical readouts that arrive years downstream. The design-stage map is the same information, earlier, exact, and auditable β a candidate could be compared against its near-neighbors before a dollar of wet-lab was spent, and the site list handed forward to the assays that decide which of those sites actually mis-splice.
And the scale of this is not speculative. The demo already shows the exact-versus-float divergence on synthetic sequences (marker ASO_OFFTARGET_EXACT_IS_OBSERVER_INVARIANT, MEASURED on synthetic sequences β it screened no real drug). The library scale is already demonstrated too: Affine.Earth hosts and re-derivably grades molecular libraries at the 10β΅β10βΆ scale β 258,616 PDB structures and 125,302 protein/material aggregates on the live court (Study 14). An exact off-target enumeration against a reference transcriptome or genome is the same class of bounded, deterministic, re-derivable computation, at a scale the substrate has already shown it can carry. Ingesting a pinned reference transcriptome is a defined engineering step with a fixed answer, not a research problem. The one missing input is the sequence β and the day it is put on the table, the map is a single deterministic run away.
We claim: Duchenne robs the exon-44 subgroup of dystrophin, and del-zota (AOC 1044) is a genuine first for them β the sponsor reports dystrophin restored to roughly a third of normal, an order of magnitude past the approved skippers for other exons. One specific safety sub-question β where else in the transcriptome the payload can bind within a stated mismatch/bulge budget β is a discrete, exact, re-derivable enumeration, categorically unlike an observer-dependent floating-point ranker, and a real risk for this class (Scharner 2020: mis-splicing at partial matches, effects at β₯12/18 nt). That exact-versus-float advantage is measured out of domain on the fusion court (Studies 34 and 35) and shown for antisense off-target on synthetic sequences locally; the substrate's contribution would be an auditable, design-stage SEAL.
We do not claim: that any run was performed on del-zota, or that any binding energy, off-target site, or safety verdict was computed for it or for the PMO44 sequence β that sequence is not public and the molecular court is dark. We do not claim the exact method answers whether del-zota is safe: it covers off-target complementarity only, it does not decide which sites actually mis-splice, and it is silent on the immunogenicity, antibody/conjugation, hematologic, distribution and dosing risks that dominate this drug's long-haul profile. We do not claim its open-label functional gains are randomized benefit β SAFARI44 is pending β nor that a better therapy exists; none is approved for exon 44. The honest edge word on anything unbound is: not known.
- Sept 2025 functional readout: Avidity / PR Newswire. July 2024 biomarker readout (dystrophin +25%, CK to near-normal): Avidity / PR Newswire.
- Mechanism / delivery (TfR1 AOC, steric-block PMO): Nucleic Acids Research 2025;53(6):gkaf241 β academic.oup.com Β· PubMed 40183632.
- Regulatory status (Breakthrough Therapy; pre-BLA / Q1 2026 submission): PPMD Β· PR Newswire pre-BLA. Trials: SAFARI44 NCT07587242 Β· managed access NCT07250737. Platform hold history (AOC 1001): NeurologyLive.
- Splice-switching off-target as discrete search vs float heuristic: Scharner et al., NAR 2020;48(2):802 β academic.oup.com.
- Comparators: brogidirsen PR Newswire Β· Cell Reports Medicine / MTNA; approved skippers & dystrophin controversy T&F review 2026 Β· Muscular Dystrophy News; Elevidys Boxed Warning Nov 2025 FDA Β· PPMD.
- Disease / natural history: Rare Disease Advisor Β· PMC6592545 Β· exon-44 milder LOA delay Neurology.
- Library scale (design-stage counterfactual): Affine.Earth Study 14 β Protein Lattice Manifold (258,616 PDB structures; 125,302 protein/material aggregates on the live court).
- Exact-vs-float principle only (out-of-domain): Affine.Earth Study 34 (observer axis), Study 35 (time axis); local
reproduce/aso-offtarget-exact-vs-float.swift(markerASO_OFFTARGET_EXACT_IS_OBSERVER_INVARIANT) and its CRISPR-guide siblingreproduce/crispr-guide-offtarget-exact-vs-float.swift(markerCRISPR_OFFTARGET_EXACT_IS_OBSERVER_INVARIANT) β synthetic sequences, no del-zota run.
Grades: VERIFIED / REPORTED / MEASURED / ARGUMENT / NOT_KNOWN. A reading that interprets a reported row is ARGUMENT, never a measurement. This study's molecular court is a charter β the PMO44 sequence is dark β and it says so; it extends, never contradicts, the fusion anchor (Studies 34 and 35).
Rights β source-available, all rights reserved. This wiki and its repository are published for public inspection and to let anyone re-derive the figures. They carry no LICENSE; under default copyright, all rights are reserved. No right is given or intended to use, run, or deploy it for any purpose other than re-deriving the published figures, nor to modify or build on it β any other use requires a written licensing agreement with the authors. Β· Affine.Earth Β· zero float Β· zero shear
Each step is the reason the next one exists. Nothing here is medical advice, and no page calls any medicine safe or unsafe.
1 Β· Why an exact safety screen at all
- Cures Without the Gatekeeper β the medicine front door: six real written medicines, one screen anyone can re-run
- The library admission law β what may enter, and the 71 arms that prove it refuses. The primary artefact.
2 Β· The three libraries, which grow rather than close
- The Library of Compound Cures β exact off-target maps for the medicines the registry publishes
- The Library of Proteins β 80,080 generated sequences, novel chemical matter, graded honestly
- The Library of Material Systems β what a system is, what was measured, where the law lives. C-007 absolute: no recipes
3 Β· The maps β every place a molecule could act, counted
- The off-target atlas β every nucleic-acid medicine the registry publishes a sequence for: WHERE it can pair
- The order of the bases β WHETHER THAT BURDEN IS UNUSUAL: 472 strands ranked against sixteen rearrangements of their own bases
- Where else could this guide cut? β the whole human genome, counted
- Designed, or forced by its own bases? β every clinical CRISPR guide, with its own composition as the control
- What a public genome deposit will tell you β and four ways it will mislead a health tool first
- Study 45 β which of nine billion answers a laboratory can act on β a safety review of AlphaGenome Atlas, measured live on 1,200 real variants at two genes. The headline score separates every one. The detailed tracks do not: splice-site usage hands back 950 of every 1,000 values shared with another variant at HBB and 998 at CFTR, and the shared values pile up in the quiet band where a bench clears a variant
4 Β· One medicine at a time
- Zilganersen β the first treatment for Alexander disease, screened on the real approved sequence
- A drug an AI designed β rentosertib for pulmonary fibrosis, and exactly what our instruments reach
- CAR-T, halted β the verdict a regulator could re-derive
- N-of-1 antisense β the only safety net at a population of one
- VERVE-102 β the off-target lattice a stranger can re-derive
- PM359 β prime editing, certified before anyone is dosed
- Del-Zota β the one safety question that can be made exact
5 Β· What keeps a disease alive, and what moves it
- Study 26 β master regulator bonds β 17 tumour types, 7,673 tumours; eleven compound pairs where no single agent among 20,308 cleared any
- Study 20 β Rife frequency β light and frequency, measured rather than dismissed
- Study 37 β five molecules β 37,910 "validated discoveries", 5 distinct molecules; why per-item validation cannot see a corpus-level defect
- Are the generated cures new? β 80,080 peptides against the human proteome
- Study 16 β disease type Β· Study 17 β chemistry InChIKey Β· Study 14 β protein lattice
- No language model in this stack β what the answers here are made of: measured 2026-09-12, no cell runs a model process, opens a model port or holds an unmasked model unit, and a gate refuses their return
- Run any study in your browser β all ninety programs open on your own device, forty-nine run there, and the run tells you whether it printed the sealed bytes
- The ontology β grades, terminals, controls, and what each page may say
- Zero Float Β· Zero Shear β the method in one page
- Ask someone you trust to check this β what to hand a sceptic
- Readersβ guide Β· Program index β all 42 studies Β· White paper Β· Roadmap
- The full-grade replacement β 49 retired instruments, 4 verticals
- The exactness seam β the business case
- Build a study β Falcon walkthrough β how to add one yourself
The same move every time: take a domain where a floating-point model is the accepted instrument, compute the same quantity in exact integers, and seal the cases where the two render opposite verdicts. The subject under grading is always the instrument, never the phenomenon.
- Study 48 β the atom already has an address β silicon dimers 3.840 Γ apart, the smallest commanded scale on the board: a length carried in single precision mis-addresses its first atom at step 8,783; an address cannot
- Study 49 β the phase code never needs Ο β a phase-only modulator takes 256 codes per pixel; the code is a ratio of integers
- Study 50 β CMS raw data from the LHC, read exactly β CMS's 2011 collision bytes streamed from CERN Open Data into the Affine IDE and read in exact integers, every collision a hologram you can turn: 138 of 3,564 bunch slots carry 93,110 of 120,742 collisions, and in 3,854 the event record reads its slot exactly 3 lower than the pixel boards Β· public release
- Study 55 β IceCube: the light in the ice, hit by hit β IceCube's calibrated hits read byte for byte: 4 published files, 9,749 events, 2,289,821 hits, a census seal per file
- Study 47 β translation shear: the meaning that survives a language β LAW FROZEN Β· LIVE CLAIM, measured 2026-09-11 and again fleet-wide 2026-09-12: translation as an exact coordinate transform, charts derived in memory at every start from the raw rows of a pinned public weight file and never written down; one lattice digest on 9/9 cells, zero drift, every refusal named. The generative comparison arm is ABSENT β there is no generative translator in the stack
- Study 34 β the observer-invariant verdict β why a safety verdict needs an exact law, not a bigger computer
- Study 35 β the safety brain that forgets β deaf in 8.4 seconds, forgets across machines, disagrees with itself
- Study 36 β the language game of Fermat's Last Theorem β guess and shear, or project
- Study 40 β the number the simulation throws away β their ICO result computed as a fraction; in float the effect returns 0 at every width, and an effect returned as zero cannot be searched for
- Study 41 β fifty years of solving the wrong problem β the ordering was never about time, it was about arithmetic; 177Γ the work and 2,400Γ the wrong guesses to return the answer the machine already had
- Study 42 β The Exact Contract β 2.7M flood settlements in Int128 cents; the step exists and the rigidity does not
- Study 29 β continuous-model shear
- The lattice holds Β· Impact study β continuum dead Β· Death of continuous shear
- Fourier Phantom β Anima FNO vs 11+12+13 Β· Stellar dynamo kill shot
- QCD: freedom is dilation Β· UUM-8D vs IUT β WIN
- Peer-review bundle Β· Conjecture alignment
- We need fusion β the verdict every machine can check
- Affine Fusion Control β the local exact-integer court Β· public release
- Fusion researcher's guide
- Study 33 β the fusion control verdict court
- Every season, fifty tonnes β the biosphere-safety case
- The forcing nobody measures Β· Impact study β the SpaceX trajectory
- Study 31 β the biosphere joint ledger β LIVE on the court, 9/9 cells
- Study 28 β the wet-bulb threshold court β Act 1 sealed
- Study 32 β the taxi-out floor court
- Where humans actually yield β the fatigue curves, and where the rules already agree
- Study 30 β sovereign edge pod Β· Manufacture contracts
- The detector that flags the whole market β a manipulation geometry in exact integers, and the regulator's own indicator scored against a legitimate quoter
- Study 43 β almost every order is cancelled, and that is normal β nine sessions, three operators, two continents: 935 to 998 of every 1,000 orders that ended, ended without trading. A check that flags almost everything is a denominator, not a detector β and the stock you pick moves it further than the exchange does
- Study 44 β nine billion answers, four billion ways to say them β AlphaGenome Atlas ships 9 billion predictions in single-precision floats, which hold 4.28 billion distinct values: 52 of every 100 variants MUST share a score with another. Agreement and exhaustion look identical on the wire
- Study 38 β the loss-reserve triangle β a reserve is an exact rational; 481 of 482 verdicts identical in both arithmetics; the sixteen-billion figure comes from an unchecked premise
- Study 39 β the actuarial domain β life, pensions, multi-state and aggregation; the margin is 8 significant digits at its tightest
- Run any study in your browser β the βΆ badge beside a program name opens it in the Studio, already built and carrying its inputs, and runs it on your machine with nothing sent back
- Explore the live courts
- MCP user guide β all 51 tools Β· Deterministic no-float courts for LLMs
- Court Client β generic wasm IDE for every court Β· Court-client checkpoint
- Coding Court β the verdict IS the artifact
-
Zed β the coding agent, for developers β set Zed 1.20.2 up on
https://affine.earth/v1, no language model anywhere; what a turn does, the wire, the autonomous closure -
Zed β Minecraft comes to life β the two-person interaction, sealed: it asks, cites, clones a sibling with a value you supply, verifies by replay; the court flips
REFUSED_UNKNOWN_BUDGET β WIN - Zed β the agent that teaches the whole domain β architecture, protocols, server management and git, each answered from lines it read and instruments it ran; five closures PROVEN, and the cattle question answered with a counter the fleet did not have
- Math Court on Glama Β· Math Court user guide Β· Example app β entire court
- Quantum algorithms inventory Β· Shor witness certifier
- MCP clients (public)
- Glama connector
- Look in the UI (no visitor data)
A study appears here under the state its evidence has earned, and above under the question it answers. The two are different filings of the same work, on purpose.
β LAW FROZEN Β· DATA SEALED
- Study 06 β explosion vs earthquake Β· Study 07 β Sgr A* raw visibilities
- Study 11 β Ehrhart volume Β· Study 12 β parallel repetition Β· Study 13 β Connes rigidity
- Study 14 β protein lattice Β· Study 16 β disease type Β· Study 17 β chemistry InChIKey
- Study 18 β material STD Β· Study 19 β Go First dice
- Study 26 β master regulator bonds β 17 tumour types, every finding published
- Study 56 β MATH, read exactly β 12,500 problems read blind: 10,533 keys close, 1,967 cannot, each with the law's reason; OpenAI's marks and printed figures set beside it afterwards, labelled theirs
- Frontier models in mathematics β beside Study 56 β they train their models and sample them; Affine.Earth trains nothing: each lab's printed figure, labelled theirs with its runs and its grader, beside one sealed reading of every key and every answer
π΄ LIVE CLAIM β standing, not sealed
- Study 02 β launch ionospheric holes Β· Study 02 β regulatory alarm
- Study 09 β global convective bond Β· Study 20 β Rife frequency Β· Study 21 β stellar dynamo
- Study 22 β 2-local Hamiltonian Β· Study 23 β spin glass Β· Study 24 β N-representability Β· Study 25 β exact permanent
π CHARTER Β· OPEN β the findings, published either way
- Study 03 β flare SIDs β archive went dead Β· predictions and validations
- Study 04 β tsunami vs surge β partial seal Β· Study 05 β Forbush decreases
- Study 08 β Gaia BH1 β no corpus until DR4 Β· Study 10 β Fermi / dark matter β does not disprove DM
- Study 15 β Skala DFT shear Β· Study 27 β exact nuclear scattering
- Overview Β· First 27 days Β· Success criteria
- The science, and what history says Β· Blind spots β five stories magnitude models miss
- Historical corpus Β· Data archives β every source, exactly how to reach it
- Model shear Β· Benchmark results Β· Prediction registry
- Substrate architecture β how a shadow becomes a geometry
- Operations runbook Β· Satellite & aviation advisory