Introduction

Shunyaya Framework

A Symbolic Discipline of Alignment

Shunyaya is a symbolic-first framework for noticing and naming alignment. It treats zero and center not as fixed points, but as living references that systems orbit, drift from, and recover toward. The practice is simple: write the smallest spec in plain ASCII, define a minimal objective in inline code, ship a tiny tool for local checks, and keep a short acceptance note for audit. If it cannot be read, run, and reproduced, it does not belong here.

All Shunyaya standards include real scripts, deterministic demos, CI-validated POCs, and fully reproducible examples — this is a working symbolic system, not a theoretical concept.

Lineage of ideas: 108 mappings of zero

The framework grew from a catalog of 108 ways that “zero” appears across science, craft, and daily practice. These mappings form a shared vocabulary for baselines, centers, pauses, thresholds, and renewals. They are not dogma; they are working lenses that anyone can try, refine, or replace.

Five-element lenses (operational heuristics)

To keep the 108 mappings useful in practice, Shunyaya groups them under five elemental lenses:

  • Earth -> ground-state, form, stability (tolerance at rest)
  • Water -> silent reservoir, continuity, adaptability (flows, circulation)
  • Fire -> activation, transformation, renewal (thresholds, ignition)
  • Air -> pause-in-pulse, rhythm, breath (oscillation, recovery windows)
  • Space -> field of possibility, openness, context (room to emerge)

    These are lenses, not claims. They help describe where a system sits relative to its living baseline.

ZETA-0 multistates (symbolic)

Five symbolic phases help narrate alignment, drift, and recovery:

  • Zearo (ground): coherent baseline; minimal variance; quiet readiness.
  • Pearo (ignition): subtle drift becomes visible; the spark of change.
  • Nearo (collapse): tipping toward disorder; vigilance and containment.
  • Quearo (coexistence): alignment and drift overlap; resilience through mix.
  • Mearo (meta-awareness): reflective oversight; learning from the cycle.

    These multistates are interpretive guides. They inform how to choose contrasts, windows, and priorities in any domain without over-claiming outcomes.

Core distinctions

  • Edge Zero is not Ground Zero. Edge Zero marks the first visible threshold; Ground Zero is the deeper baseline where fluctuation begins.
  • Edge Centre is not True Centre. Edge Centre is a midpoint between boundaries; True Centre is the intrinsic anchor from which the edges arise.

    These distinctions focus attention where coherence lives, not only where imbalance is already obvious.

What the Shunyaya framework covers (current)

🌟 Shunyaya Structural Universal Mathematics (SSUM)
Structural arithmetic framework where every number carries bounded, deterministic behavioural structure while guaranteeing exact classical collapse (phi((m,a,s)) = m).

Includes an offline, single-file browser proof-of-concept demonstrating zero classical mismatches across operations.
→ Demo_SSUM.html

🧩 Shunyaya Symbolic Mathematical Law (Law 0)

“Every classical value carries a bounded alignment lane, revealing reality drift and stability while retaining the original number.”

The foundational rule under everything else in Shunyaya is that every important value becomes a dual-lane pair
x := (m, a), with a in (-1,+1) and collapse parity phi((m, a)) = m.

Law 0 keeps all classical results exactly intact while letting each number carry a bounded alignment lane that reveals stability, drift, and posture.

✅ Field proof. Bounded versions of 10 familiar textbook laws (Ohm, Newton, Bernoulli, Snell, Faraday, etc.) show that the scalar m stays identical, while the lane a surfaces “same value, different reality” behaviour across runs. Click here

🧭 Shunyaya Symbolic Mathematics (SSM)
The core language of alignment: carry a bounded lane a in (-1,+1) beside the numbers m you already trust, with collapse parity phi((m,a)) = m. See drift early without ripping out models.

Field proof: golden-CSV parity across text/code/spreadsheet demos; order-invariant pooling validated end-to-end: U = sum(w*atanh(a)), W = sum(w), a_out = tanh( U / max(W, eps_w) ) — identical outcomes batch==stream==shuffled.

✅ Proof of Concept: 10 real-life scenarios (scripts + “Getting Started” guides + CI workflow).
Check repository on GitHub

🔡 Shunyaya Symbolic Mathematical Symbols (SSMS)
A keyboard-only canon so the same formula means the same thing in docs, code, and slides.

Field proof: cross-asset doc/code diff tests on 100+ lines showed zero render drift and consistent evaluation in plain-text evaluators.

🔁 Shunyaya Symbolic Mathematical Data Exchange (SSMDE)
Portable declarations of truth for machine-to-machine exchange. Each record carries value, bounded align, policy band, manifest_id, and a tamper-evident stamp. Align fusion (order-invariant): a_c := clamp(a_raw, -1+eps_a, +1-eps_a) → u := atanh(a_c) → U += w*u ; W += w → align := tanh( U / max(W, eps_w) ).

Stamp (chain): SSMCLOCK1|<utc_iso>|theta=<deg>|sha256=<hex>|prev=<hex|NONE> with sha256 over canonical JSON of {value,align,band,manifest_id} and prev = sha256(previous_stamp).

Impact: no global dictionary required—manifests declare meaning; old systems ignore new fields, new readers verify. Observation-only.

🕰️ Shunyaya Symbolic Mathematical Clock (SSM-Clock)
A human-checkable, ephemeris-free time ruler anyone can recompute offline.

Field proof: offline recompute across multi-year day-grids matched reference snapshots 1:1 (ASCII manifest + one-line objective) — stable, tool-independent timestamps.

🌐 Shunyaya Symbolic Mathematical Network (SSM-NET)
A tiny, manifest-first overlay that rides beside existing traffic and turns messages into self-verifying declarations—without touching payload bytes (phi((m,a)) = m). Each message declares its posture as a band, commits to a canonical subset (sha256=<hex> over {value,band,manifest_id} in stable ASCII), and links continuity with a portable stamp SSMCLOCK1|<iso_utc>|nonce=<...>|sha256=<...>|prev=<hex|NONE>.

Field proof: browser demo shows end-to-end parity:

  • Byte invariance holds (phi((m,a)) = m); original body’s sha256 matches.
  • Canonical subset hash recomputes identically across runs.
  • prev link exposes reorder/delete instantly; ALL CHECKS PASSED parity script verifies envelopes.jsonl, hashes.txt, and checkpoint.txt.

Impact: posture and proof travel with every message—no protocol rewrites. Old systems keep working; new readers can verify. Observation-only.

🔐 Shunyaya Symbolic Mathematical Encrypt (SSM-Encrypt)
Deterministic structural encryption with StampChain continuity, identity binding, post-decryption invalidation, and offline lifecycle enforcement. Complements classical ciphers by securing the structural journey of a payload.

🕊️ SSM-Tweet — The Symbolic Messaging Kernel

A deterministic, verifiable messaging layer built on mathematical structure instead of semantics.

SSM-Tweet adds a compact sidecar symbolic envelope beside any message, revealing alignment posture, Quero coherence, lineage, resets, and drift — all without touching payload bytes (phi((m,a)) = m). No interpretation, no scoring, no rewriting. Just the structural truth of how a message travels.

Field proof: envelopes, lanes, and replay tests produce identical outcomes across runs and platforms, with stable alignment and Quero signatures.

Impact: SSM-Tweet turns messaging into a reproducible, inspectable, deterministic object, usable in overlay mode for existing platforms or native mode for new systems. A clean, mathematics-first substrate where communication finally becomes transparent.

🔏 Shunyaya Symbolic Mathematical Clock Stamp (SSM-Clock Stamp)
A one-line stamp that binds exact file bytes to a human-checkable clock and a running hash chain (works offline; no servers at stamp time).

Field proof: multi-file chain tests verified sha256(bytes) parity and chain integrity after copy/move/rename — any tamper breaks the link instantly.

⏱️ SSM-ClockKe — The Open-Standard Time Kernel

A tiny, deterministic, human-checkable time engine built for universal reproducibility.

SSM-ClockKe is the smallest, cleanest, and most transparent time kernel ever published under the Shunyaya framework. It reconstructs symbolic time using nothing more than a plain-ASCII manifest, a one-line objective, and a deterministic evaluator. No ephemeris, no external lookup tables, no APIs, no servers. Anyone — on any machine, in any environment — can recompute the same ClockKe timestamp byte-for-byte.

Field proof: multi-year recompute tests matched master snapshots exactly, independent of OS, editor, or toolchain.

Impact: ClockKe gives developers a portable, verifiable, offline time standard, ideal for logs, ledgers, file stamps, scripts, backups, and any environment where trust must live at the edge, not on a server.

🪐 Shunyaya Symbolic Mathematics — Jyotish Transit Kernel (SSM-JTK)
An open, reproducible kernel for daily sidereal angles using tiny manifests plus a one-line evaluator.

Scale test: computed forward to ~9,500 years and back across centuries with stable, transparent outputs — enabling comparable almanacs and clean CSV audits.

📟 Shunyaya Symbolic Mathematical Hardware (SSMH)
Handheld, air-gapped stamping and verify using the Clock and chain — trust at the edge where networks are patchy.

Field proof: bench runs on removable media reproduced exact SSMCLOCK1|iso_utc|...|sha256(file)|chain_k stamps; offline verifies matched byte-for-byte after site-to-site handoffs.

Impact: pocket-to-ledger continuity — stamp-now / anchor-later; clinics, plants, and ships keep an auditable trail without power, signal, or PKI.

📊 Shunyaya Symbolic Mathematical Audit (SSM-Audit)
A read-only stability lane beside KPIs that turns “looks fine” into “is it stable?” with bands A++/A+/A0/A-/A–.

Backtests: multi-crisis simulations indicate posture drift would have flagged earlier (e.g., funding-mix & rollover walls pre-2008; uninsured-deposit concentration & duration mismatch pre-SVB 2023) — numbers unchanged, foresight clearer.

CLI 💻 — try our mini Calculator to identify the drift
(Mini CLI Download Page)

⚗️ Shunyaya Symbolic Mathematical Chemistry (SSM-Chem)
Lightweight, searchable reactions and checks (balance, stoichiometry) verified by scripts or spreadsheets.

Field proof: stoichiometry tests on classroom and lab-note sets caught mass/charge mismatches immediately; portable CSVs reproduced identical pass/fail across tools.

Impact: redline-before-run — reactions become self-checking checklists; teachers review in minutes, labs prevent costly reruns; balances atoms_in = atoms_out, charge_in = charge_out are visible at a glance.

Applied AI & Signals (drop-in, lane-native)

🧠 SSM-AI (Alignment lane beside AI numbers)
Drop a bounded lane next to any AI value: x := (m,a) with a in (-1,+1) and phi((m,a)) = m; order-invariant streaming via U += w*atanh(a); chooser RSI := tanh( (V_out - U_in)/max(W_in, eps_w) ); optional calm gate RSI_env := g_t * RSI.

Stamp-verifiable invariants: collapse parity holds, batch==stream==shuffled, deterministic manifests, bands (A++/A+/A0/A-/A–) stable at declared thresholds. Early outcomes: retries↓, tool hand-offs↓, time-to-first-correct↑ — achieved with zero retraining and no changes to m.

🌟 AIM — The World’s Smallest Personal AI (108 KB) With the Biggest Promise

🌡️ Shunyaya Symbolic Mathematical Temperature (SSMT)
Make temperature machine-ready and human-honest by turning raw °C/°F/K into a unitless, comparable signal e_T = ln(T_K/T_ref) with an optional bounded dial a_T = tanh(c_T*e_T) and a phase proximity guard near pivots a_phase = tanh(c_m*(T_K - T_m)/DeltaT_m).

Field proof: unit-invariance holds after a single to-Kelvin step, °C↔°F flips are caught immediately, and near-freezing flicker drops with soft hysteresis; cross-city thresholds stay portable with the same manifest (no retraining, no vendor lock-in). Impact: one stream of symbols for fleets, safety, and ML—keyboard-simple, audit-ready, phase-aware.

⚡ SSM-Electrical Quantities (SSMEQ) (preview)
A zero-centric, unitless standard for electrical signals. Normalize each channel to a contrast e_Q (log/linear/asinh lenses), optionally map to a bounded dial a_Q := tanh(c_Q*e_Q).

Field proof: unit-invariance demos across V/kV, A/kA, 50/60 Hz; symbolic identities held on real slices (e.g., e_S = e_V + e_I, e_R = e_V - e_I); validation checklist passed with bounded pooling safe for fleets via rapidity mean.

🛰️ SSM-UT: Universal Symbolic Time (preview)
A location-agnostic, offline time scale recovered from local cycles by phase consensus. Inverse: tau_hat := argmin_t E(t) with E(t) := SUM_i alpha_i * angdiff( phi_i_obs , b0_i + w_i * t )^2; center of time via t_star := argmin_t E_cot(t).

Engineering proof (v0): single-site identifiability PASS-rate >= 95%, mean error <= 10 min at phase noise 2..6 deg (stacking S>=5, multistart K>=7, grid step ~2 min). Cross-site comparability recovered offsets within <= 3 min across differing cycle sets — all from tiny ASCII manifests; no runtime ephemeris.

Active adapters (same minimalist style) (preview)

💹 SSM-Finance — Cycle-aware summaries and audit trails for ledgers/ops via simple CSVs.
Early runs: bands exposed “green totals, red posture” cases; board briefs stayed spreadsheet-native.

🛡️ SSM-Cyber — Offline-first integrity for logs/backups via stamp-and-chain.
Early runs: red-team file swaps broke chains exactly as designed; audits were replayable in plain text.

🏥 SSM-Health — Stamped consent and routine records with later, lightweight anchoring. (Administrative, non-diagnostic.)
Early runs: clinic-style handoffs kept identical sha256 and time bins; one-command verify.

🌦️ SSM-Climate — Templates for seasons, anomalies, and crossings recomputable locally.
Early runs: offline reruns reproduced onset/retreat flags on historical slices.

🤖 SSM-Robotics — Timing grammar for motion plans with a confidence lane beside the control loop.
Early runs: simulated pick-place reduced chatter via clear hysteresis gates.

🎛️ SSM-Controls — Readable patterns for setpoints, ramps, hysteresis, and limits using bounded arithmetic.
Early runs: ramp/hysteresis templates cut controller oscillations in sandbox tests.

🧬 SSM-Genomics — Symbolic motifs/boundaries with lightweight alignment scores. (Research/education; not for diagnosis.)
Early runs: motif tagging parity held across CSV/text pipelines.

🌐 SSM-Universal Time (ledger) — A human-checkable ledger bridging UTC/TAI/local zones with offline rules.
Early runs: zone-crossing logs reconciled with zero server calls; ledger stayed readable and auditable.

One rhythm across everything: keyboard-simple, offline-friendly, audit-ready. Start small, mix and match, and scale clarity without rebuilding your world.

(Research/observation only: for high-stakes or precision tasks, treat outputs as advisory and pair with domain standards.)
…and many more.

1000+ symbolic questions (contemplation engines)

Shunyaya.blog hosts 1000+ symbolic questions. They are prompts, not proclamations, meant to sharpen attention to center and drift.
[1000+ Symbolic Questions & Answers]

Meaning of Shunyaya

In Sanskrit, Shunya means zero or void, and Aya means flow or movement. Shunyaya is “the flow of zero”: the living baseline of alignment around which structure emerges, drifts, and recovers.

Why this is not pseudo-science

  • Falsifiable touchpoints: every idea reduces to steps you can try locally.
  • Reproducible artifacts: plain-ASCII specs, tiny tools, short acceptance notes.
  • Minimal math, maximum audit: symbols are defined; claims are modest.
  • Clear scope: research/observation only; abstain on low confidence; raise proof with stakes.
  • Open terminology: names are handles for inquiry, not authority badges; revise them if better names or tests appear.

How to engage

  • Read the short spec; trace each term to a definition.
  • Run a small local check; verify results in your own context.
  • Share counterexamples and refinements; names are provisional, evidence decides.

Vision

A world where poverty dissolves and peace prevails — not only economic poverty, but poverty of clarity, opportunity, and dignity; not only individual peace, but shared harmony. As science, society, and self begin to align around a clear center, everyone advances together. Shunyaya exists to make that center more visible.

Technology Promise
Personal AI for every person—proof, opportunity, and dignity in every hand.

Note on Authorship
Created by the authors of the Shunyaya Framework and Shunyaya Symbolic Mathematics. The authors release work under the handle OMPSHUNYAYA and remain anonymous so the focus stays on the vision, not the individuals.

Universal Intelligence
This work is produced through a collaboration of human and AI intelligence, dedicated to the upliftment of humanity.

Explore Shunyaya Projects:

https://github.com/OMPSHUNYAYA/Shunyaya-Symbolic-Mathematics-Master-Docs

🌟 AIM — A Tiny 108 KB Verifiable Personal AI With a Big Promise

Disclaimer
Observation-only; not for safety-critical decisions.

Updates on AIM — Personal AI
https://shunyaya.blogspot.com/

OMP