From “what time is it?” to “how honest has time been?”
🌟 Deterministic. Tamper-evident. Universal.
A small, open-standard timing kernel that reveals how stable or stressed time has been, running quietly beside your existing clock.
No content profiling.
No telemetry.
No hidden analytics.
Only symbolic clarity.
⚡ Quick Proof SSM-ClockKe Is Real — Try This in 5 Seconds
Below is a tiny, self-contained demo that produces a deterministic alignment lane and a tamper-evident stamp chain.
No installation, no dependencies — just copy, run, and observe.
# --- Minimal SSM-ClockKe Demo ---
# Deterministic alignment lane + tamper-evident stamp chain
from math import tanh, log1p
import hashlib, time, datetime
U = 0.0
W = 0.0
prev = ""
def atanh(x): # stable formulation
return 0.5 * (log1p(x) - log1p(-x))
def make_stamp(prev, payload, t):
h = hashlib.sha256(payload.encode()).hexdigest()
raw = (prev + h + t).encode()
return hashlib.sha256(raw).hexdigest()
for tick in range(1, 6):
t_utc = datetime.datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ")
a_raw = 0.02 # baseline stability (full ClockKe uses jitter/noise)
a_c = max(min(a_raw, 0.999999), -0.999999)
u = atanh(a_c)
U += u
W += 1.0
a_out = tanh(U / W)
payload = f"{t_utc}|{a_out:+.6f}"
stamp = make_stamp(prev, payload, t_utc)
prev = stamp
print(f"{tick:02d} time={t_utc} align={a_out:+.6f} stamp={stamp[:16]}...")
time.sleep(0.5)
Typical output:
01 time=2025-03-05T12:18:11Z align=+0.01999 stamp=19bd4e3c82c7...
02 time=2025-03-05T12:18:12Z align=+0.03997 stamp=51a12c8b5d9e...
03 time=2025-03-05T12:18:12Z align=+0.05994 stamp=ad3ef114bc27...
...
Alignment rises smoothly.
Each stamp links to the previous one.
Any edit or reordering breaks the chain immediately.
⏱️ Why SSM-ClockKe Matters
Modern systems record timestamps, but never explain:
- Did time behave smoothly?
- Were there micro-freezes or jitter?
- Was the system paused or throttled?
- Is this timing record trustworthy?
SSM-ClockKe adds a symbolic truth-layer that answers these questions without altering the underlying clock.
Each tick becomes a transparent record of:
- stability
- drift
- band classification
- tamper-evident continuity
A clean, deterministic companion to real time.
🧠 What SSM-ClockKe Computes
Every tick produces a compact, reproducible structure:
time_utc – timestamp for the tick
dt_ms – actual milliseconds since the previous tick
a_out – bounded alignment in (-1 .. +1)
band – A+, A, B, C, D
stamp – tamper-evident continuity hash
This structure is identical across browser, desktop, and CLI builds.
🔧 The Alignment Kernel (ASCII Formula)
SSM-ClockKe takes real-world jitter, freeze behavior, and micro-noise, and transforms them into a bounded symbolic signal.
Stability source:
a_src = baseline_a
a_src += user_stress
a_src -= jitter_gain * ((dt_ms - tick_ms) / tick_ms)
if dt_ms > freeze_mult * tick_ms: a_src -= freeze_penalty
Bounded alignment and accumulation:
a_c = clamp(a_src, -1 + eps_a, +1 - eps_a)
u = atanh(a_c)
U = DECAY_W * U + u
W = DECAY_W * W + 1
a_out = tanh(U / max(W, eps_w))
- Stable ticks push
a_outupward - Unstable ticks push
a_outdownward
This creates a consistent indicator of time behavior.
🎨 Readable Band Classification
Based on the final alignment:
- A+ / A — highly stable
- B — mild drift
- C — visible drift
- D — noticeable instability
Bands make the symbolic signal easy to interpret in research, diagnostics, and monitoring.
🔐 Tamper-Evident Stamp Chain
Each tick is cryptographically linked to the previous one:
stamp_k = SHA256(prev_stamp || SHA256(payload) || time_utc_k)
- Removing a tick breaks the chain
- Editing a tick breaks the chain
- Reordering ticks breaks the chain
Verification requires only the CSV log and the reference algorithm.
This ensures append-only integrity with no central authority.
💻 Three Ways to Run SSM-ClockKe
1. Browser Edition
- Live drift history
- Stability bar
- Stamp tail
- Direct CSV export
- Adjust tick rate and stress
2. Desktop Edition
- Simple, clean graphical window
- One tick per second
- Drift, band, and alignment display
- CSV export and basic controls
3. CLI Edition
- Headless operation
- ASCII sparkline of recent drift
- Tick cadence control
- Fast CSV generation
All three editions follow the exact same symbolic rules.
⚙️ One-Minute Usage Flow
Run the kernel
Browser: open the HTML file
Desktop: run the Python script
CLI:
python clockke_run_v2_1.py --tick-sec 1.0 --ticks 30
Export
CSV output is available in all editions.
Verify
python clockke_verify_v2_1.py exported.csv
Expected output:
ALL CHECKS PASSED
🧩 Key Advantages of SSM-ClockKe
✔️ Open-standard
Anyone may implement or adapt the kernel.
✔️ Zero telemetry
No identity, no profiling, no behavior tracking.
✔️ Deterministic and reproducible
Two devices observing identical timing patterns produce identical alignment paths.
✔️ Suitable for research and observation
Ideal for drift analysis, teaching, diagnostics, and reproducible experiments.
✔️ Small and clear
The entire logic is transparent and easily inspectable.
🌱 What You Can Do With Symbolic Time
- Observe background jitter
- Compare different timing sources
- Detect throttling or freeze patterns
- Provide integrity for time-based logs
- Teach system behavior using alignment bands
- Bundle evidence for reproducible studies
Symbolic time adds a second, independent dimension to the way systems represent temporal behavior — one that focuses on truth of motion rather than absolute timestamps.
🔗 Official Repository and Links
SSM-ClockKe (Open Standard): Full Source Code, Browser Edition, Python Scripts, and Documents
https://github.com/OMPSHUNYAYA/Symbolic-Mathematical-Clock-Kernel
Shunyaya Symbolic Mathematics — Project Index:
https://github.com/OMPSHUNYAYA/Shunyaya-Symbolic-Mathematics-Master-Docs
Blogs:
https://shunyaya.blogspot.com
https://shunyaya.blog
🌈 Closing Thought
Time is continuous, but its behavior is not always smooth.
SSM-ClockKe offers a clear symbolic signal that reflects this behavior —
a quiet, transparent companion to real time.
It does not judge, predict, or interfere.
It simply reveals the structure that was always there.
Disclaimer: Observation Only
OMP