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Add de-anthropocentric Mass Number revision
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Allaun Silverfox
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---
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project: OTOM
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domain: axis-04-formalization
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type: DoctrineRevision
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settlement: FORMING
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authority: registry
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route_signature: otom/axis-04-formalization/doctrinerevision/mass-numbers-deanthropocentric/v0
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claim_state: BEAUTIFUL_PROVISIONAL
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---
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# Mass Numbers: De-anthropocentric Revision
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## Revision trigger
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Earlier Mass Number language leaked human egocentrism by treating human natural
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language, especially English-facing semantic compression, as the implicit center
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of semantic mass.
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That framing is too narrow.
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Mass Numbers must be revised around decoder-relative recoverability across many
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communication regimes:
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- human languages and scripts
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- animal communication systems
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- mathematical and chemical notation
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- machine protocols and bytecode
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- physical signal regimes
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- spatial / visual / goxel witnesses
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- color, spectral, acoustic, chemical, tactile, and field-coded signals
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## Corrected doctrine
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```text
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SemanticMass is the meaning-bearing object.
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MassNumber is the admissibility / recoverability receipt projected from it.
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```
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Mass Number does not ask whether a signal is human language.
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It asks:
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```text
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Given a signal S, decoder D, context C, and receiver regime R,
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how much actionable / recoverable structure survives,
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and what residual ambiguity or risk remains?
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```
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## Old error
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```text
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MassNumber ≈ admissible reduction / residual risk
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```
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This is useful, but it is only the engineering shadow.
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It is not the full semantic object.
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## Revised layer split
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| Layer | Object | Role |
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|---|---|---|
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| Ontological / semantic | `SemanticMass` | meaning-bearing load under a decoder |
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| Engineering / gate | `MassNumber` | admissibility receipt derived from semantic load and residual risk |
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| Evidence / promotion | receipts | proof, benchmark, adversarial trial, or measurement support |
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| Hardware / emission | static binary / Verilog | compiled projection of accepted structures |
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## De-anthropocentric principle
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```text
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No language, species, script, modality, or sensorium is the privileged center.
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```
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A human sentence, a Chinese character, a Korean honorific particle, a whale song,
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a bee waggle vector, an ant pheromone trail, a bat click train, a cephalopod skin
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pattern, a mathematical formula, and a machine opcode can all be SemanticCarriers
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if they bind recoverable state under a decoder.
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## Communication regime, not language-only
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A communication regime is any system with:
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```text
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signal form
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receiver / decoder
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context
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recoverable state
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residual ambiguity
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observable or formal response
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```
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Human languages are one family of regimes.
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Animal communication systems are another.
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Formal notation and machine protocols are others.
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## Revised formula family
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The human-centric version:
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```text
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M_sem = semantic payload / decoder residual ambiguity
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```
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The de-anthropocentric version:
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```text
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M_regime(S, D, C, R) =
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recoverable structure(S, D, C, R)
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/
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signal cost + decoder cost + context cost + residual ambiguity + response risk
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```
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Where:
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- `S` = signal or symbolic packet
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- `D` = decoder
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- `C` = context / environment
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- `R` = receiver or runtime regime
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For theorem work, avoid division and use bounded comparisons:
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```text
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recoverable_structure <= threshold * guarded_residual_cost
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```
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## Human regime channels
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| Channel | Examples | Semantic mass contribution |
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|---|---|---|
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| Glyphic | Han characters, Egyptian determinatives, Mayan glyphs | visual-symbol semantic packing |
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| Morphological | Korean, Turkish, Inuktitut, Finnish | bound relation/state/action packing |
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| Root-template | Arabic, Hebrew | generative semantic family compression |
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| Evidential | Quechua, Aymara, Tibetan-like evidential systems | receipt / source-of-knowledge marking |
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| Relational | Korean, Georgian, Bantu agreement, honorifics | agent/social/role binding |
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| Tonal/prosodic | Yoruba, Mandarin, Vietnamese, Thai | phase-like semantic distinction |
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| Formal | Greek, Sanskrit, Latin, mathematics | stable abstract/theorem naming |
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## Animal / biosemiotic regime channels
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| Channel | Examples | Semantic mass contribution |
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|---|---|---|
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| Acoustic | birdsong, whale song, frog calls, primate calls | identity, territory, alarm, mating, group coordination |
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| Echolocation/probe | bats, dolphins | spatial field interrogation and object-state coupling |
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| Chemical | ants, bees, mammals, pheromone trails | path, colony state, reproductive status, alarm |
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| Spatial/vector | bee waggle dance, sign-like gesture systems | direction, distance, location, action target |
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| Visual/display | cephalopods, birds, fish, cuttlefish, skin patterns | color/state/threat/camouflage/intent signaling |
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| Electric/field | weakly electric fish | identity, courtship, spatial sensing, local field state |
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| Tactile/vibrational | insects, spiders, elephants via ground coupling | substrate-coded signal and long-range state transfer |
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## New Mass Number classes
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```text
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MN-HUM-G Human glyphic mass
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MN-HUM-M Human morphological mass
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MN-HUM-R Human relational mass
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MN-HUM-E Human evidential mass
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MN-HUM-T Human tonal/prosodic mass
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MN-HUM-F Human formal-symbolic mass
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MN-BIO-A Bioacoustic mass
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MN-BIO-E Echolocation/probe mass
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MN-BIO-C Chemical trail mass
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MN-BIO-S Spatial/vector biological mass
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MN-BIO-D Display/color biological mass
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MN-BIO-V Tactile/vibrational mass
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MN-BIO-R Receiver-response mass
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MN-MACH-P Machine protocol mass
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MN-MACH-O Opcode / bytecode mass
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MN-MATH-F Formal mathematical mass
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MN-PHYS-W Wave/spectral physical mass
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MN-VIS-G Goxel / visual witness mass
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```
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## GCCL revision
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GCCL symbol swapping must not optimize only byte density or human readability.
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A swap is admissible only if the receiving decoder preserves the relevant
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regime invariant:
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```text
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AllowedSwap(A, B, D_A, D_B, C, R) iff
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invariant_cluster(A) = invariant_cluster(B)
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and semantic_mass(B, D_B, C, R) >= semantic_mass(A, D_A, C, R) - epsilon
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and derived_mass_number(B) passes the admissibility gate
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```
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This prevents the stack from collapsing non-human signal systems into English
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paraphrases and losing the actual invariant.
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## FAMM revision
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FAMM routing should route by communication regime and receiver effect, not only
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by human semantic tags.
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```text
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signal -> decoder -> receiver state change -> residual -> route
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```
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For animal communication, the receiver-response leg is central.
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For mathematical notation, proof preservation is central.
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For machine protocols, runtime state transition is central.
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For visual/goxel witnesses, spatial binding is central.
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## Evidence discipline
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Allowed now:
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1. Treat Mass Numbers as decoder-relative admissibility receipts.
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2. Treat human languages as one carrier family among many.
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3. Treat animal communication as biosemiotic regimes with measurable response invariants.
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4. Project SemanticMass into MassNumber only through declared decoder/context assumptions.
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Blocked until evidence receipts:
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1. Claims that any one language or species is globally superior.
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2. Claims that animal communication is human-equivalent language.
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3. Claims of compression gain without corpus baselines.
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4. Claims of semantic preservation without reconstruction or receiver-response tests.
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5. Claims of physical equivalence without SI-grounded measurement.
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## Implementation implication
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Existing formal roles should be interpreted as follows:
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```text
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SemanticCarrier instance
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-> describes a regime capable of carrying recoverable structure
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SemanticMass vector
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-> scores invariant strength, binding, routing leverage, compression gain,
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update resistance, turbulence cost, and collapse resistance
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MassNumber gate
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-> receives projected admissible reduction and residual risk from the
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SemanticMass / decoder analysis
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```
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The revision is therefore not a deletion of MassNumber.
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It is a demotion of MassNumber from semantic essence to admissibility receipt.
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## Next artifacts
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1. Add `CommunicationRegime` and `BioSignalRegime` structures.
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2. Add registry schemas for human language, animal communication, formal notation, and machine protocol carriers.
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3. Add a bridge module from `SemanticMass` to `MassNumber`.
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4. Mine corpora/databases to emit evidence receipts before promotion.
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