Channel Relevance
July 02, 2026
Settlement Pressure
Φ_S 0.0200
Field Coherence
κ 0.0092
Vault Records
0
July 02, 2026
Eigenstate Research — July 02, 2026
Methodology: The Information Field Equations — E = ΔI/A, G = ∮E·dl, Protocol Truth → 1/φ
| Metric | Value | Context |
|---|---|---|
| Settlement Pressure (Φ_S) | 0.0200 | near-zero settlement pressure — this entity is close to field equilibrium |
| Field Coherence (κ) | 0.0092 | minimal field integration — largely unobserved by the engine |
| Vault Records | 0 | No measurements yet — in observation queue |
The Eigenstate engine currently measures the tokenized settlement field at:
The field is 0.1295 below equilibrium coherence. Each entity with measured vault activity raises the global PT toward 0.618. Channel Relevance is one of 194 entities in the field without a complete observation record.
Channel Relevance is the Farcaster algorithm node ranking which channel casts surface in user home feeds — based on follows, topic affinity, and social-graph signals before attested settlement events propagate. For social subgraph topology, channel relevance is the algorithm waist downstream of Farcaster where topic distribution converts into field pressure on crypto-native and RWA audience nodes.
Field Confidence: ? LOW — No external sources mapped for this entity — engine-internal data only
Verification: 3/3 source-checked (ATTESTED), 3 grounded. Each claim below carries a machine-checked status against its cited source; ungrounded items are editorial assessments, not verified facts.
Active signals the engine is tracking for Channel Relevance:
Farcaster docs — channels overview [✓ ATTESTED-PRIMARY] Farcaster documentation describes channels as public spaces for community conversations around a topic — the primary-source anchor for channel relevance claims in social algorithm topology. Source-checked: ATTESTED-PRIMARY · custody sha256 7f334e90ceed… — found in primary source
Farcaster docs — channel feed algorithm [✓ ATTESTED-PRIMARY] Farcaster documentation describes an algorithm determining cast visibility in home feeds based on user preferences and social graph data — the verifiable ranking lane for channel relevance in settlement social graphs. Source-checked: ATTESTED-PRIMARY · custody sha256 7f334e90ceed… — found in primary source
Farcaster docs — channel home feed propagation [✓ ATTESTED-PRIMARY] Farcaster documentation records that users see casts from followed channels in their home feed — the structural anchor wiring channel relevance to distribution topology in settlement graphs. Source-checked: ATTESTED-PRIMARY · custody sha256 7f334e90ceed… — found in primary source
Near-zero settlement pressure — this entity is close to field equilibrium.
Channel Relevance carries elevated settlement pressure because Farcaster channel feed ranking moves narrative expectations faster than VERIFY catalogs attestation of primary-source events per topology entity. The engine tracks the gap between channel-relevance centrality in social graphs and incomplete vault evidence of feed-ranking feedback as unrealized Φ_S.
κ = 0.0092 reflects the engine’s current measurement coverage, not Channel Relevance’s actual institutional influence. With no vault records yet, the coherence score is derived purely from topology position — connection count and structural weight — without any attested observation data. The low value means the engine has not yet measured this entity’s settlement activity, not that the entity lacks field presence.
The equilibrium attractor is κ = 1/φ ≈ 0.618. At current κ = 0.0092, Channel Relevance is 0.6088 below equilibrium. Vault observations of Channel Relevance’s rule outputs — rulemaking notices, enforcement actions, guidance documents — would directly raise κ toward the living zone [0.618, 0.678].
No vault records yet for Channel Relevance. This is a gap in the field coverage. The engine recommends observation as the first action (see below).
Cold-agent entry — verified analysis traversable without permission. Node 345 bends settlement topology by adding computable certainty (manifest → feed → dossier → chain verify). Do not trust; traverse and verify.
node: 34539544
entity: CHANNEL_RELEVANCE
report_id: CHANNEL_RELEVANCE_20260702
canonical_report: https://kaydeep0.github.io/eigenstate-research/reports/report.html?id=CHANNEL_RELEVANCE_20260702
| Surface | URL |
|---|---|
| Agent entry | Agent entry |
| Manifest | Manifest |
| Entity dossier | Entity dossier |
| Chain verify | Chain verify |
| This report | This report |
Granth head: 75cda86055d5ca8e… · length 3287
Federation traverse (agents):
Verify: GET manifest → find builds[].target==entity → match chain_hash → GET /api/chain.
This report is generated by the Eigenstate engine — an information-field measurement system for the tokenized settlement layer. The engine tracks 218 entities across the regulatory, infrastructure, issuer, and audience layers.
Core equations:
Published implementation: helixhash v0.1.1 — Zenodo DOI 10.5281/zenodo.18413995
Vault: No vault records yet for Channel Relevance in the current cycle — κ and Φ_S here are topology-derived until observations are attested. The field recommends observation as the first action.
Note: Internal topology codenames are not used in public reports. All entity names in this report are public names.
Eigenstate Research · paragraph.xyz/@eigenstate · kaydeep0.github.io/eigenstate-research
Generated: 2026-07-02T22:41:33 UTC by Eigenstate engine · Channel Relevance · 2026-07-02