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TNFR AI Agent
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feat: certify causal remesh block margins
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‎.github/agents/my-agent.md‎

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@@ -192,8 +192,19 @@ A separate exact augmented-history theorem covers the uniform unclipped
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finite REMESH companion on fixed support and metric. One applied runtime
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transition is linked to it with signed binary64 rounding/clipping defects, and
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adjacent compatible cycle records provide an exact finite schedule/history
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energy telescope. These bridges do not establish shared causal provenance,
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repeated runtime stability, solver convergence or future behavior.
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energy telescope. A finite outer executor now runs declared cycle specs on one
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graph, binds each result to its ordinal and exact spec, and gives that telescope
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same-invocation causal provenance plus graph-owned atomicity. It does not prove
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repeated runtime stability, solver convergence, a global gain or future
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behavior.
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A sealed block observer now selects a nonempty contiguous part of that causal
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telescope and verifies `D=K+S`, `S>=0`. For positive initial augmented energy it
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reports the block-specific normalized lower margin `kappa=K/V_before` and the
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endpoint bound `V_after/V_before<=1-kappa`. One implemented witness has
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`kappa=139/256`; the lag-one `alpha=1` orbit has `kappa=0`. Equilibrium and
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amplitude scaling block a uniform positive absolute drop. A uniform positive
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normalized block margin over a declared forward-invariant class, plus a finite
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intrablock prefix-amplification bound, remains open.
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These scoped identities do not certify U2 for arbitrary operator sequences.
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The exact Dirichlet balance below uses this same adjacency convention. See
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[src/tnfr/physics/structural_diffusion.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/structural_diffusion.py).
@@ -722,13 +733,42 @@ the next represented schedule and verifies that its endpoint becomes the next
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recorded history head. Compatible adjacent balances telescope additively in one
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normalized metric and fixed REMESH configuration. The source sequence remains
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caller ordered; shared graph provenance, causal succession, cross-call
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atomicity, a global executable map, a uniform repeated margin and future
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atomicity, a global executable map, a uniform positive normalized block margin
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over a declared forward-invariant class, an intrablock prefix bound and future
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stability remain open.
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`execute_event_remesh_cycle_sequence` supplies the stronger finite execution
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boundary. It runs ordered `EventRemeshCycleExecutionSpec` values on one graph
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inside one outer graph transaction. Each sealed
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`CausalEventRemeshCycleReceipt` binds its execution ordinal, exact spec and
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resulting cycle, including identity of the executed and declared schedule. The
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sealed `ExecutedEventRemeshCycleSequence` retains the cycles, the ordinary
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offline cycle sequence and the compatible runtime schedule/history telescope.
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Only this wrapper certifies same-invocation causal order, one graph identity and
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finite graph-owned atomicity. It does not compose schedule and REMESH gains,
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prove a uniform positive normalized block margin over a declared
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forward-invariant class or an intrablock prefix bound, solver accuracy/order,
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convergence, repeated or future stability, or rollback emitted I/O, warnings,
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external resources or external-only aliases. The nested offline observers keep
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their own false causal scope when used separately.
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`observe_executed_event_remesh_block_margin` derives an exact observation from
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one nonempty contiguous boundary block of an intact
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`ExecutedEventRemeshCycleSequence`. It identity-binds the causal source,
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telescope and selected boundary objects; sums the exact observed drop `D`,
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gain-based lower bound `K` and nonnegative schedule slack `S`; and verifies
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`D=K+S`. When `V_before>0`, it records `kappa=K/V_before`, the observed drop
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fraction and endpoint gain upper bound `1-kappa`. At `V_before=0`, these
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normalized fields are undefined. A positive value certifies only the recorded
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finite block. Absolute uniform margin is obstructed by quadratic amplitude
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scaling and equilibrium; uniform normalized class coercivity, intrablock prefix
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control, repetition and future stability remain false.
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See
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[src/tnfr/operators/event_timing.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/operators/event_timing.py),
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[src/tnfr/operators/event_runtime.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/operators/event_runtime.py),
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[src/tnfr/operators/event_remesh_runtime.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/operators/event_remesh_runtime.py),
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[src/tnfr/operators/event_remesh_sequence.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/operators/event_remesh_sequence.py),
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[src/tnfr/operators/event_remesh_causal_runtime.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/operators/event_remesh_causal_runtime.py),
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[src/tnfr/physics/event_duration.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/event_duration.py),
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[src/tnfr/physics/event_refinement.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/event_refinement.py),
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[src/tnfr/physics/event_remesh_refinement.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/event_remesh_refinement.py),
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[src/tnfr/physics/runtime_remesh_history_stability.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/runtime_remesh_history_stability.py),
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[src/tnfr/physics/remesh_schedule_stability.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/remesh_schedule_stability.py),
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[src/tnfr/physics/runtime_remesh_schedule_stability.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/runtime_remesh_schedule_stability.py),
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[src/tnfr/physics/runtime_remesh_schedule_block_margin.py](https://github.com/fermga/TNFR-Python-Engine/blob/main/src/tnfr/physics/runtime_remesh_schedule_block_margin.py),
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and [theory/REMESH_INFINITY_DERIVATION.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/REMESH_INFINITY_DERIVATION.md).
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### Composition
@@ -1034,9 +1075,9 @@ program history** (the full milestone/gap/branch threads live in the notes).
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| Program | Status | Reference |
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|---------|--------|-----------|
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| **Core dynamics S1–S16** | Restricted results cover pure-EPI diffusion, rational quotient affine-reset budgets, exact operator-event timing, conditional stage certificates and exact represented-map composition for a fully eligible observed finite flow/glyph trace, plus observability, quotient geometry, temporal signatures and sampled-path certificates. All thirteen operators have atomic all-target Jacobi stages; EN/RA additionally have scoped repeated-map results. A uniform unclipped REMESH companion has an exact augmented-history disagreement functional and temporal mixing theorem on fixed support and metric. One applied binary64 transition and finite adjacent schedule/history telescopes are linked to it with explicit residuals. A general exact rational reversible single-eigenmode theorem proves refreshed-Euler endpoint bounds, strict proper-subdivision improvement and conditional exact-real partition convergence. Its finite offline runtime adapter separates represented pressure/execution defects and propagates them through complete Euler matrices; the effective `P2` adapter separately adds exact ideal REMESH error scaling and its committed residual bound. Shared causal provenance, runtime/binary64 mesh convergence, repeated runtime stability, solver/full-multichannel results, changing parameters/support and catalog completeness remain open. | [CORE_RESEARCH_PROGRAM.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/CORE_RESEARCH_PROGRAM.md) |
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| **Core dynamics S1–S16** | Restricted results cover pure-EPI diffusion, rational quotient affine-reset budgets, exact operator-event timing, conditional stage certificates and exact represented-map composition for a fully eligible observed finite flow/glyph trace, plus observability, quotient geometry, temporal signatures and sampled-path certificates. All thirteen operators have atomic all-target Jacobi stages; EN/RA additionally have scoped repeated-map results. A uniform unclipped REMESH companion has an exact augmented-history disagreement functional and temporal mixing theorem on fixed support and metric. One applied binary64 transition and finite adjacent schedule/history telescopes are linked to it with explicit residuals. A graph-owned finite cycle-sequence executor gives one such telescope same-invocation causal provenance and outer atomicity; a sealed block observer reports exact normalized lower margins on its contiguous finite blocks, including `139/256` and zero witnesses. A general exact rational reversible single-eigenmode theorem proves refreshed-Euler endpoint bounds, strict proper-subdivision improvement and conditional exact-real partition convergence. Its finite offline runtime adapter separates represented pressure/execution defects and propagates them through complete Euler matrices; the effective `P2` adapter separately adds exact ideal REMESH error scaling and its committed residual bound. Runtime/binary64 mesh convergence, a uniform positive normalized block margin over a declared forward-invariant class, intrablock prefix control, repeated runtime stability, solver/full-multichannel results, changing parameters/support and catalog completeness remain open. | [CORE_RESEARCH_PROGRAM.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/CORE_RESEARCH_PROGRAM.md) |
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| **TNFR-Riemann** | Finite protocols estimate a critical-line-centered comparison and expose ζ/L diagnostic surfaces (P12–P50). No engine theorem identifies phase coherence with zero location. The bridge to RH, including control of `S(T) = (1/π)·arg ζ(½+iT)`, remains open. | [TNFR_RIEMANN_RESEARCH_NOTES.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/TNFR_RIEMANN_RESEARCH_NOTES.md) |
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| **REMESH fixed-delay models** | A finite cyclic fixed-coefficient filter has a Cesàro fixed-mode projection. A distinct finite uniform companion recurrence has a stationary-weighted augmented disagreement functional; `0<alpha<1` mixes toward the history barycenter, while `alpha=1` permits periodic histories. One-transition residual and adjacent-cycle schedule/history observers identify finite binary64 records without proving repeated stability. The effective `P2` reference proves exact ideal error propagation by `beta=(1-alpha)^2` and keeps the committed runtime residual separate. The literal `τ_g → ∞` limit, repeated runtime theorem and catalog completeness remain open. | [REMESH_INFINITY_DERIVATION.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/REMESH_INFINITY_DERIVATION.md) |
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| **REMESH fixed-delay models** | A finite cyclic fixed-coefficient filter has a Cesàro fixed-mode projection. A distinct finite uniform companion recurrence has a stationary-weighted augmented disagreement functional; `0<alpha<1` mixes toward the history barycenter, while `alpha=1` permits periodic histories. One-transition residual and adjacent-cycle schedule/history observers identify finite binary64 records; a graph-owned causal executor and finite-block observer add same-invocation provenance, atomicity and exact block-specific normalized margins. The effective `P2` reference proves exact ideal error propagation by `beta=(1-alpha)^2` and keeps the committed runtime residual separate. A uniform positive normalized margin on a declared forward-invariant class, intrablock prefix control, the literal `τ_g → ∞` limit, repeated runtime stability and catalog completeness remain open. | [REMESH_INFINITY_DERIVATION.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/REMESH_INFINITY_DERIVATION.md) |
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| **TNFR-Navier–Stokes** | A declared linear mapping compares viscous diffusion with the overdamped limit of a separate graph-wave model (`ν_f = ν`). Finite pseudo-spectral runs measure enstrophy growth with Reynolds number. The nonlinear vortex-stretching term is compared with a `K_φ`/VAL cascade, but no equivalence or uniform regularity bound is derived; the `Re → ∞` problem remains open. | [TNFR_NAVIER_STOKES_RESEARCH_NOTES.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/TNFR_NAVIER_STOKES_RESEARCH_NOTES.md) |
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| **Number theory** | Primality as `ΔNFR = 0` (canonical **unit** coefficients, §4.2 coefficient independence); arithmetic structural triad; arithmetic networks can initialize the auxiliary symplectic read-out; the cyclotomy law `s_k(p) = gcd(k, p−1) + 1` is proved for the declared residue digraph and read as a finite arithmetic pulse diagnostic. | [TNFR_NUMBER_THEORY.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/TNFR_NUMBER_THEORY.md) |
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| **Structural research program (R1–R9)** | Nine internal lines on arithmetic and spectral dynamics: observability, arithmetic pulse, CRT synthesis, p-adic transport, finite fields, additive reduction, arithmetic pressure, operator certification and directed non-normal evolution. Exact, measured, negative and open results are separated in the program index. | [STRUCTURAL_RESEARCH_PROGRAM.md](https://github.com/fermga/TNFR-Python-Engine/blob/main/theory/STRUCTURAL_RESEARCH_PROGRAM.md) |

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