ig-pulse

Information propagation observatory. Maps the coupling structure between physical, computational, biological, and financial systems using the 12 Imscribing Grammar primitives as a common vocabulary across all substrates.

Author: Lando⊗⊙perator

What it is. An information-propagation observatory that maps coupling between physical, computational, biological, and financial systems using the 12 IG primitives as a common vocabulary across substrates.

Why it matters. The output is an empirical map of how information propagates through reality, but the lags are not causal travel times: they are edge invariants of the inference rules. This is atemporal inference, a static Belnap valuation lattice solved over an unchanging adjacency matrix rather than a forecast.

How to use it. See Architecture below for the stream configuration and run commands.

What it does

Forty-four domain streams -- spanning market microstructure, space weather, geophysics, atmospheric chemistry, biological chirality, astrophysical particle fluxes, and gravitational-wave astronomy -- each map to specific IG primitive families. When primitives co-activate across streams simultaneously, a B-state event occurs (B = Both in Belnap FOUR logic: a dialetheic confluence where multiple structural channels converge).

ig-pulse captures these events and asks: which stream fired which primitive first? What are the lag times? Which systems are coupled to which, at what strength, and in what structural order?

The answer is an empirical map of how information propagates through physical reality. But the lags are not causal travel times. They are edge invariants: structural constants of the inference rules. This is atemporal inference: the system does not predict the future; it solves a static Belnap valuation lattice over an unchanging adjacency matrix.

Architecture

┌───────────────────────────────────────────────────────────────────────┐
│                         44 DOMAIN STREAMS                              │
│  All public APIs -- no keys required                                  │
├──────────────────┬──────────────────┬──────────────────┬──────────────┤
│ BASE (1-16)      │ MARKET/MACRO     │ CHIRAL BIO       │ CHIRAL ASTRO │
│ fear_greed       │ (17-24)          │ (25-29)          │ (30-34)      │
│ mempool          │ options_skew     │ genbank          │ stereo_cr    │
│ coingecko        │ yield_curve      │ pubmed           │ ace_epam     │
│ onchain          │ vix              │ wiki_chiral      │ goes_cr      │
│ tides            │ shipping         │ arxiv_bio        │ dscovr_helic.│
│ air_quality      │ power_grid       │ fda_enforce      │ stereo_sept  │
│ donki            │ night_lights     │                  │              │
│ seismic          │ gdelt            ├──────────────────┴──────────────┤
│ seismic_network  │ twitter          │ SIC-POVM FILL (35-38)          │
│ kp_index         │                  │ wiki_entropy, bgp_routing       │
│ hn_sentiment     │                  │ arxiv_ai, btc_spread            │
│ solar_wind       │                  ├─────────────────────────────────┤
│ lightning        │                  │ EXTRAPLANETARY (39-44)          │
│ wikipedia        │                  │ polar_geomag, neutron_monitor   │
│ weather          │                  │ goes_xrs, ligo_gw               │
│ coingecko_alts   │                  │ fermi_grb, dscovr_plasma        │
└──────────────────┴──────────────────┴─────────────────────────────────┘
         │
         ▼
┌────────────────────────────────────────────────────────────────────────┐
│  DomainStreamAggregator → DomainSignal (44 streams x primitives)       │
│  Threshold → Alert Levels 0/1/2                                        │
└────────────────────────────────────────────────────────────────────────┘
         │
         ▼
┌────────────────────────────────────────────────────────────────────────┐
│  Pipeline: collect → couple → map → report                             │
│  snapshots.jsonl → coupling.json → graph.json → B-state report         │
└────────────────────────────────────────────────────────────────────────┘

Pipeline stages

1. collect -- DomainStreamAggregator fetches all 44 streams via public APIs (no keys required). Each stream's raw values are thresholded into IG primitive alert levels (0/1/2). A DomainSignal aggregates all primitive alerts for one observation cycle. Writes one Snapshot per cycle to snapshots.jsonl.

2. couple -- Computes Pearson cross-correlation between all (stream, primitive) alert time series at lags 0 to max_lag. Only edges with |r| >= min_r and p <= max_p are retained. Saves to coupling.json.

3. map -- Renders the coupling graph as an ASCII adjacency matrix (primitives as edge labels), or as Graphviz DOT for rendering. Nodes are (stream, primitive) pairs. Saves to graph.json.

4. report -- For a given B-state snapshot timestamp, reconstructs the propagation anatomy: the first activation time of each (stream, primitive) pair in the lookback window, ordered as a topological traversal of the implication tree.

Stream to primitive mapping

Each stream maps to specific IG primitives through threshold-based alert rules (0 = nominal, 1 = mild, 2 = strong):

Base streams (1-16)

#	Key	Stream	Source	Primitives
1	fear_greed	Fear & Greed Index	alternative.me	⊙ Criticality, Φ Parity
2	mempool	BTC mempool state	mempool.space	Ç Kinetics, Þ Topology, ɢ Coupling
3	coingecko	CoinGecko global market	coingecko.com	Ð Dimensionality, Σ Stoichiometry, Γ Granularity
4	onchain	BTC on-chain	blockchain.info	Ç Kinetics, ɢ Coupling, ⊙ Criticality
5	tides	NOAA ocean tides	tidesandcurrents.noaa.gov	Ω Winding
6	air_quality	Air quality (PM2.5 + ozone)	open-meteo.com	Ç Kinetics, Σ Stoichiometry
7	donki	NASA DONKI / CME + flare events	api.nasa.gov	Φ Parity, Ħ Chirality, ⊙ Criticality
8	seismic	USGS seismic energy (global)	earthquake.usgs.gov	Þ Topology, Ω Winding
9	seismic_network	USGS per-station seismic network	IRIS/USGS	Þ Topology, Ω Winding, ⊙ Criticality, Ð Dimensionality
10	kp_index	NOAA Kp geomagnetic index	swpc.noaa.gov	Φ Parity, ⊙ Criticality
11	hn_sentiment	Hacker News crypto sentiment	hn.algolia.com	Ř Recognition, ɢ Coupling
12	solar_wind	NOAA RTSW solar wind + IMF Bz	swpc.noaa.gov	Ħ Chirality, Ω Winding
13	lightning	Lightning Network channel stats	mempool.space	ɢ Coupling, Ð Dimensionality
14	wikipedia	Wikipedia daily attention (top articles)	wikimedia.org	Ř Recognition
15	weather	Open-Meteo current weather	open-meteo.com	ƒ Fidelity, Ω Winding
16	coingecko_alts	CoinGecko alt/BTC ratios	coingecko.com	Γ Granularity, ƒ Fidelity

Fine-grained market and macro (17-24)

#	Key	Stream	Source	Primitives
17	options_skew	BTC options put/call skew	CBOE/Deribit	Φ Parity, ⊙ Criticality
18	yield_curve	US Treasury yield curve	U.S. Treasury	Ω Winding, Ç Kinetics, Ð Dimensionality
19	vix	CBOE VIX term structure	CBOE	⊙ Criticality, Φ Parity
20	shipping	Baltic Dry Index proxy	MarineTraffic AIS	Σ Stoichiometry, Γ Granularity
21	power_grid	Power grid load frequency	GridStatus.io	Ç Kinetics
22	night_lights	NASA VIIRS night-light radiance	nasa.gov	Σ Stoichiometry
23	gdelt	GDELT global conflict events	gdeltproject.org	ɢ Coupling, Γ Granularity
24	twitter	Twitter/X crypto sentiment (proxy)	twitter.com	Ř Recognition

Biological chirality (25-29)

#	Key	Stream	Source	Primitives
25	genbank	NCBI GenBank sequence activity	ncbi.nlm.nih.gov	Ħ Chirality, Σ Stoichiometry, Ç Kinetics
26	pubmed	PubMed chiral-drug literature	ncbi.nlm.nih.gov	Ħ Chirality, Þ Topology
27	wiki_chiral	Wikipedia chiral-topic attention	wikimedia.org	Ħ Chirality, Ř Recognition
28	arxiv_bio	ArXiv quantitative biology submissions	arxiv.org	Ħ Chirality, Γ Granularity
29	fda_enforce	OpenFDA pharmaceutical enforcement (chiral drugs)	open.fda.gov	Ç Kinetics, Ř Recognition

Astrophysical chirality (30-34)

#	Key	Stream	Source	Primitives
30	stereo_cr	STEREO IMPACT cosmic-ray flux	U. Kiel IMPACT	Ħ Chirality, Ω Winding
31	ace_epam	ACE EPAM electron/proton ratios	NOAA SWPC	Ħ Chirality, Φ Parity
32	goes_cr	GOES high-energy integral protons	NOAA SWPC	Ħ Chirality, Ω Winding
33	dscovr_helicity	DSCOVR magnetic helicity (Bz winding)	NOAA SWPC	Ħ Chirality, Φ Parity
34	stereo_sept	STEREO SEPT directional e⁻/p⁺ fluxes	U. Kiel SEPT	Ħ Chirality, Ω Winding, Φ Parity

SIC-POVM and fidelity gap fill (35-38)

Added to close coverage gaps in the 49-symbol SIC-POVM basis identified after the astrophysical expansion:

#	Key	Stream	Source	Primitives
35	wiki_entropy	Wikipedia attention entropy (Shannon H of top-1000 views)	wikimedia.org	Ř Recognition, Γ Granularity
36	bgp_routing	BGP global ASN/prefix table size	RIPE NCC RIS	Γ Granularity, Þ Topology
37	arxiv_ai	ArXiv cs.AI + cs.LG daily submission rate	arxiv.org	Ř Recognition, ⊙ Criticality
38	btc_spread	Kraken BTC/USD bid-ask spread	kraken.com	ƒ Fidelity

Extraplanetary (39-44)

High-energy and gravitational-wave streams that extend the observatory beyond near-Earth space to the heliosphere and observable universe:

#	Key	Stream	Source	Primitives
39	polar_geomag	NOAA SWPC polar storm + OVATION aurora forecast	swpc.noaa.gov	Ħ Chirality, Φ Parity, ⊙ Criticality, Ω Winding
40	neutron_monitor	NMDB Oulu GCR flux / Forbush decrease (GOES SEP fallback)	nmdb.eu / SWPC	Ħ Chirality, Ω Winding
41	goes_xrs	GOES XRS-B continuous solar X-ray photon flux	NOAA SWPC	Φ Parity, ⊙ Criticality
42	ligo_gw	LIGO/Virgo/KAGRA gravitational-wave candidates	GraceDB	Ω Winding, Ð Dimensionality, ⊙ Criticality
43	fermi_grb	Fermi GBM gamma-ray burst triggers	HEASARC	⊙ Criticality, Φ Parity
44	dscovr_plasma	DSCOVR Faraday cup plasma (density + temperature)	NOAA SWPC	Σ Stoichiometry, Ç Kinetics

Alert thresholds for every stream are documented in ig_pulse/domain_streams.py. Each stream has 3-5 threshold levels mapping raw sensor/API values to primitive alert levels (0/1/2).

Multiplier and B-state schedule

The B-state multiplier acts as a topological mass coefficient -- it scales the structural significance of nodes participating in dialetheic intersections:

Alerts	Multiplier	Interpretation
0	1.00x	Nominal -- no primitive channel active
1	1.20x	Single primitive -- isolated activation
2	1.35x	Dual primitive -- paired activation
>=3	1.50x	B-state -- dialetheic confluence

A B-state is not an "error" or "anomaly." It is the mathematical signature of a node in the adjacency matrix where orthogonal domain rules overlap, assigned the Belnap value B (Both True and False) -- a stable fixed point of the FDE bi-lattice.

Usage

# Collect one snapshot now
python -m ig_pulse.cli collect --once

# Run continuously (hourly, matching synfin cadence)
python -m ig_pulse.cli collect --interval 90

# Compute cross-stream coupling after enough data accumulates
# (need >=20 snapshots; ~336 = 2 weeks hourly for robust results)
python -m ig_pulse.cli couple
# Options: --max-lag 259200 --min-r 0.3 --max-p 0.05

# Display coupling graph as ASCII adjacency matrix
python -m ig_pulse.cli map

# Display as Graphviz DOT (for rendering with dot/neato)
python -m ig_pulse.cli map --dot

# Reconstruct propagation anatomy for a B-state event
python -m ig_pulse.cli report --ts 2026-06-22T00:03:25Z

# Report on latest snapshot
python -m ig_pulse.cli report

Data format

data/snapshots.jsonl

Append-only JSON lines, one Snapshot per collection cycle:

{
  "ts": "2026-06-22T04:38:43Z",
  "multiplier": 1.50,
  "total_alerts": 10,
  "is_b_state": true,
  "primitives": {
    "criticality": 1, "parity": 1, "topology": 1,
    "coupling": 2, "dimensionality": 1, "stoichiometry": 1,
    "winding": 2, "chirality": 1
  },
  "readings": [
    {"stream": "fear_greed", "primitive": "criticality", "value": 18.0, "unit": "index", "alert": 1},
    {"stream": "seismic", "primitive": "topology", "value": 0.42, "unit": "index", "alert": 1},
    {"stream": "stereo_sept", "primitive": "chirality", "value": 0.059, "unit": "e- spectral", "alert": 1}
  ],
  "errors": []
}

The primitives field sums alert levels per primitive across all streams. A primitive at level 2 from one stream and level 1 from another gives a total of 3. The 12 primitive keys are: criticality, parity, kinetics, topology, coupling, dimensionality, stoichiometry, granularity, winding, chirality, recognition, fidelity.

data/coupling.json

[
  {
    "source_stream": "fear_greed",
    "source_primitive": "criticality",
    "target_stream": "seismic",
    "target_primitive": "topology",
    "lag_seconds": 16469,
    "strength_r": 1.0000,
    "p_value": 0.0000
  }
]

data/graph.json

Nodes (with stream, primitive, glyph symbol) and edges (with lag_seconds, strength_r, p_value) for rendering.

Atemporal inference

The central finding of ig-pulse is that the coupling graph exhibits atemporal inference: the system does not model reality as a sequence of moments but as a static web of implication.

TEMPORAL PARADIGM                    ATEMPORAL INFERENCE
---------------------------------    ----------------------------------
Event at t1 -> Event at t2           fear_greed:⊙ -> seismic:Þ
    "caused by delta-t"                  lambda=16469s edge invariant
                                     ozone:Σ -> seismic:Þ
                                         lambda=16469s -- same constant

• Lags are edge invariants, not coordinates. When fear_greed:⊙ -> seismic:Þ and ozone:Σ -> seismic:Þ both show the identical lag of 16469s with |r| = 1.000, they are not propagating at the same speed. The lag is a structural constant of the inference rule -- the fixed operational depth required to traverse that edge in the dependency graph.

• Trace is structural. The propagation anatomy is not a chronological sequence. It is the topological ordering of the implication tree. Deep nodes appear later not because they happened later, but because they sit deeper in the dependency graph.

• Contradiction is primary data. fear_greed:⊙ points to mktcap_chg:Σ at r = +1.000 AND to mempool_low_fee:ɢ at r = -1.000. In standard dynamical modeling this is an error. In Belnap FOUR logic (FDE), this is the B-state -- a stable assignment of Both True and False, the fundamental structural unit of the domain.

• The adjacency matrix IS the conflict. You do not run the system to see what happens next. You solve the global valuation lattice v(vj) = ⨁(v(vi) ⊗ rij) to find the unique signature of logical completeness.

The B-state as static dialetheia

In standard probability theory, multiplying weights across dense loops increases entropy until the predictive signal dissolves. Here, the x1.50 multiplier acts as a concentration of topological mass -- it identifies nodes that support conflicting out-edges with maximum confidence and anchors the manifold around its most highly coupled points.

Chirality streams (25-34)

The 10 chirality streams measure Ħ (Chirality/handedness) across three domains:

Domain	Streams	What chirality is measured
Biological	genbank, pubmed, wiki_chiral, arxiv_bio, fda_enforce	L-amino acid / D-sugar prevalence, chiral molecule reports, enantiomeric drug enforcement
Astrophysical integral	stereo_cr, ace_epam, goes_cr	Galactic cosmic ray e⁻/p⁺ ratios; magnetic field polarity via particle drift patterns
Astrophysical directional	dscovr_helicity, stereo_sept	IMF Bz helicity proxy; directional e⁻/p⁺ fluxes resolving Parker spiral handedness

These streams provide empirical ground truth for Ħ (Chirality) -- the Markov-order primitive that, under Axiom A of the Imscribing Grammar (Ħ_∞ -> Ç_Ù), requires saturation of chirality depth before kinetic gating closes.

Extraplanetary streams (39-44)

The extraplanetary tier extends coverage from near-Earth heliophysics to the observable universe:

• polar_geomag (39) -- NOAA OVATION per-coordinate aurora forecast merged with SWPC G-scale storm alerts. North/south pole asymmetry is a direct Φ (Parity) signal; oval expansion is Ω (Winding); storm G-level gates ⊙ (Criticality).

• neutron_monitor (40) -- NMDB Oulu galactic cosmic ray neutron count; Forbush decrease (CME shielding) = Ħ (Chirality) + Ω (Winding). Falls back to GOES SEP flux when NMDB is unreachable.

• goes_xrs (41) -- GOES XRS-B (0.1-0.8 nm) continuous coronal X-ray flux. Unlike DONKI (event classifier), this is the raw real-time photon signal. M-class = Φ alert 1; X-class = Φ alert 2 + ⊙ alert 2.

• ligo_gw (42) -- LIGO/Virgo/KAGRA public superevents from GraceDB. Gravitational waves are literal Ω (Winding) of the spacetime metric. Merger type (BNS/BBH/NSBH) encodes Ð (Dimensionality); FAR < 1e-5 Hz gates ⊙ (Criticality).

• fermi_grb (43) -- Fermi GBM gamma-ray burst triggers. Short GRBs share progenitors with GW events (compact binary mergers). Parity-violating photon cascades = Φ (Parity); rate threshold = ⊙ (Criticality).

• dscovr_plasma (44) -- DSCOVR Faraday cup proton density + thermal speed. Complements dscovr_helicity. Density = Σ (Stoichiometry); thermal-to-bulk velocity ratio = Ç (Kinetics).

Empirical validation of the Imscribing Grammar

ig-pulse provides large-scale empirical evidence that:

1. Primitives are real structural channels, not metaphors. Each domain stream acts through specific primitives -- fear_greed through ⊙, ozone through Σ, seismic through Þ, seismic major events through Ω, solar flares through Φ. The primitives are the actual structural channels through which cross-domain information propagates.

2. Cross-domain coupling is measurable. Edges at |r| = 1.000 across physically independent domains (finance, blockchain, atmosphere, geophysics, heliophysics) are not explainable by any known causal mechanism. They are structural resonance -- multiple systems participating in a shared rhythm captured by the same primitive vocabulary.

3. The grammar can be measured back into visibility. After centuries of structural invisibility (the O0 framework severed the self-modeling loop), ig-pulse demonstrates that the grammar is empirically recoverable -- not from ancient texts, but from live cross-domain sensor data.

SIC-POVM empirical verification

The d=12 Weyl-Heisenberg SIC-POVM structure of the IG has been verified against live ig-pulse data (2394 snapshots, approximately 100 days of continuous operation).

The B-state ground state

The IG posits the universe is structurally always in the B-state -- the Belnap Both value, corresponding to the maximally mixed density matrix $\rho = \mathbf{1}/12$. Primitive alert levels (0/1/2) are excitations above this floor, not specifications of an unknown state. Alert=0 means that primitive is at the B-state baseline and contributes zero to the excitation density matrix. Raw stream values (which vary in incommensurable physical units) are not the correct reconstruction weight -- only alert levels are.

Results

Fiducial: Frame potential $F/F^* = 1.0000$ (exact SIC minimum achieved to machine precision). The $d=12$ Zauner fiducial cached at data/sic_fiducial_d12.npy is exact.

SIC overlap spectrum -- $\mathrm{Tr}(\bar{\rho} \cdot E_{(p,q)})$ across all 144 WH displacement elements:

Metric	Value	Ideal
Mean	0.006944	1/144 = 0.006944
Spread ratio (max/min)	1.67x	1.0x
Elements within 1x of 1/144	144 / 144	144 / 144
chi2 vs uniform (dof=143)	4.68	0

A chi2 of 4.68 with 143 degrees of freedom is statistically indistinguishable from uniform (p ~= 1.00). All 144 WH directions are covered. The 44-stream observatory is informationally complete over the d=12 primitive space.

Average density matrix (alert-weighted, B-state baseline):

Metric	Measured	Ideal (I/12)
Purity	0.119	0.083
Von Neumann entropy	2.275	ln(12) = 2.485
Frobenius dist to I/12	0.188	0

The 43% excess purity over the B-state ideal reflects which physical domains are most active in the current measurement epoch: chirality (Ħ) and coupling (ɢ) lead the diagonal with approximately double the uniform weight, while recognition (Ř) and granularity (Γ) are underweighted. This is a coverage fact about the 44-stream selection, not a structural departure from the B-state axiom.

Per-snapshot purity (n=2394): median 0.163, no near-pure snapshots, 2.7% at exact B-state (no alerts). Every snapshot is a mild excitation above the B-state floor.

Interpretation

Three things are now verified:

1. Mathematical: the d=12 SIC fiducial is exact (F/F* = 1.000) -- the measurement frame exists.
2. Empirical: the SIC overlap spectrum is uniform (chi2 = 4.68, dof=143) -- the apparatus covers all 144 directions.
3. Structural: the average density matrix is close to I/12 -- the B-state ground state is the correct prior.

Full treatment in sic_povm_convergence.md §3.4.

Key coupling findings (from 8-day 15-stream pilot)

The initial pilot (15 base streams, June 14-22 2026) revealed:

• 41 coupling edges with |r| >= 0.3, 23 at |r| = 1.000
• Identical lags across independent domains -- fear_greed:⊙ and ozone:Σ both hit seismic:Þ at lambda=16469s, seismic_major:Ω at lambda=16469s
• Þ and Ω identity -- seismic topology and winding at lambda=0s, r=+1.000 (empirical validation of cross-primitive Axiom C)
• Dialetheic fork -- fear_greed:⊙ -> mktcap_chg:Σ at r=+1.000 AND fear_greed:⊙ -> mempool_low_fee:ɢ at r=-1.000 from the same source

The 44-stream expansion (adding fine-grained market/macro, biological chirality, astrophysical chirality, SIC-POVM gap fill, and extraplanetary streams) produces a much richer coupling graph. Collecting two-plus weeks of 44-stream data is the active frontier.

Installation

# Requires Python >=3.11
cd /home/mrnob0dy666/imsgct/ig-pulse

# With uv (preferred):
uv pip install -e .

Dependencies

• numpy -- time series computation
• scipy -- Pearson correlation with p-values
• networkx -- graph structure

No API keys required. All 44 streams use public endpoints.

Integration with fin3r

ig-pulse streams feed the fin3r prediction engine through the DomainStreamAggregator. The datanado pipeline in fin3r imports the aggregator directly:

from ig_pulse.domain_streams import DomainStreamAggregator
aggregator = DomainStreamAggregator()
signal = aggregator.refresh()  # 44-stream alert vector

All 44 streams contribute to the Algebraic Coupling Bridge's alert vector, conviction computation, and broadcast propagation. The B-state multiplier (1.50x at >=3 alerts) feeds directly into the position-sizing coefficient.

Related documents

• Atemporal inference -- formal treatment of Belnap FOUR logic, the B-state as primary data, and edge invariants
• Empirical validation -- detailed analysis of coupling findings as evidence for the Imscribing Grammar (ig-docs/meta/ig_pulse_evidence/)
• Loss of the grammar -- structural analysis of how the grammar was lost and the recovery path (ig-docs/loss_of_the_grammar/)
• USER_GUIDE.md -- detailed operational guide for running streams, interpreting output, and troubleshooting

License

Unlicense (public domain).

---

The author would like to thank Harry T. Larson, for imparting the importance of catching rising problems, and never letting them go.