Give features stable identity, eye pairs and per-feature presence

Step 8's data model, ahead of its controls. Nothing here is a UI.

domain/params holds every knob's definition once — default, applicable area,
value constraints and the areas a change would force to regenerate. flow/take's
literal knob map becomes a view of it, so the take's defaults and the future
parameter panel cannot drift apart.

domain/feature adds subjects, features and groups as document data the renderer
never reads. A feature ID is stable for the whole clip, across occlusion: a run
of visible frames is not a new identity. An eye pair is an explicit group of one
or two eyes of the same subject, so a profile view with one identified eye needs
no invented partner. Settings resolve area -> subject -> group -> feature, and
dropping an eye from a pair materialises its effective values first so playback
does not jump. scene/problems now validates all of it.

Presence becomes per-feature rather than per-subject. freeze's :absent predicate
takes a track as well as a frame, so one occluded eye can be absent while its
partner still has a value; a full-face miss still marks everything absent. A
manifest may annotate known gaps as one-based inclusive intervals, which ingest
expands into observation tracks before measurement. An unobserved eye then gets
no vote in the iris pairing and cannot steer the shared gaze — gaze falls back to
whichever eye is visible. Temporal filters still see a sample on every frame,
held from the last observed one, because the numbers are a rectangular buffer;
the state mask, not the buffer, is what says the frame has no value.

js/app.js gets the same occlusion lesson: leading nulls from a face that starts
occluded used to throw away the whole take, and the neutral frame could be chosen
from a held duplicate pose.

Parameter editing, scoped regeneration and a feature-level detector remain. Until
one exists, footage without annotations falls back to the full-face mask rather
than claiming occlusions it cannot see.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01B87NVmiU36qQmN9gmFYnJ9

docs/port-plan.md

@@ -7,8 +7,11 @@ Step 6 reads extracted footage from the manifest, detects landmarks with local
 MediaPipe assets at full source cadence, and runs the same freeze path as the
 synthetic take. The scene time map can sample the frozen roto at a lower picture
 fps without changing source analysis, duration or audio. Step 7 adds dense
-eyelids, shared gaze, brows and pixel-derived teeth. Step 8 is next: authored
-parameter controls and their scoped recomputation.
+eyelids, shared gaze, brows and pixel-derived teeth. Step 8's data model now
+has stable feature identity, feature-level presence, explicit eye pairs and
+shared parameter definitions. A manifest can now supply known feature absence
+intervals through measurement and freeze. Automatic per-feature detection,
+parameter editing and scoped regeneration remain.
 
 ## What arthur is
 
@@ -326,9 +329,28 @@ minus paint. The fixed pixel thresholds remain provisional; step 8 exposes their
 parameters for tuning without changing the source track or picture timing.
 
 ### 8 — knobs
-The parameter UI, as leaf-addressed params in app-db
-(`clip/:cid/params/:subject/:area` — see below), so the sync layer added later has
-nothing to retrofit.
+Build the parameter model before its UI. Define each parameter once with its
+default, validation, applicable area and regeneration dependencies. Store values
+by stable subject and feature ID. Represent an eye pair as one group with one or
+two eye member IDs from the same subject; a profile view with one identified eye
+needs no invented partner. Each eye may override a pair value. Removing an eye
+from a pair materialises its effective values so playback does not change. Keep the
+existing frozen channels as renderer input; settings and provenance do not enter
+the render path.
+
+Carry feature-level presence through freeze and dense channel state. The same
+feature ID covers every observed run across occlusion; a missing measurement
+has no channel value on that frame. Full-face detection is the fallback mask
+until there is a feature-level detector or authored presence data. A shared gaze
+measurement may still feed two independently identified eyes. A small manifest
+annotation can supply feature absence intervals now: the loader expands them
+before measurement, so invalid eye landmarks are ignored and gaze uses the
+visible eye. This is an input format, not a control UI or an automatic detector.
+
+Use leaf-addressable settings under the clip, subject, feature and optional
+group. Retain source measurements so a setting change can regenerate affected
+channels without re-detecting footage. Time-varying parameter values and all
+parameter controls are deferred to the UI pass.
 
 ### 9 — backend
 Django project, the `clips` app, models for Project/Clip/Footage/Analysis/Leaf,
@@ -342,16 +364,14 @@ nobody should pre-empt by porting the old one.
 
 ## Two things to not foreclose
 
-The feature controls will later be rethought to handle more than one face,
-periodic occlusion, stable identity across frames, and feature groups with their
-own parameters. That design can wait; two decisions here are free now and
-annoying to reverse:
+Feature controls will later handle more than one face and editing presence.
+The underlying identity, occlusion and group association model begins in step 8:
 
-- **Presence is not visibility.** An occluded subject has *no value* on a frame,
-  which is different from a part being hidden. Give every dense block a
-  `Uint8Array` state mask per frame and let it mean *absent* as well as hidden.
-- **Params carry a subject segment.** `clip/:cid/params/:subject/:area`, with one
-  subject today. Adding a path segment later touches every read and write.
+- **Presence is not visibility.** An occluded feature has *no value* on a frame,
+  which is different from a part being hidden. Dense blocks carry a per-track,
+  per-frame absence mask; `[:vis]` remains the sole hiding mechanism.
+- **Params carry stable identity.** A subject and its features keep their IDs
+  across observation gaps. A run of visible frames is not a new identity.
 
 The identity tracker, when it comes, should use the same pattern the iris and brow
 correspondences already use: vote across every frame rather than trusting one.