fix: a paused view carries its own LOD pyramid, so it is drawn like a held event

publish_pause_view() filled stamps, values and y and left pyramids empty, so
level_for() descended to raw samples and a frozen pause was re-gathered from
every sample it held on every frame. It cost draw time (12.34 -> 18.18 ms mean)
and, because stage_trace_density() normalises each column against its own peak,
it also changed how the trace looked -- which is how it was noticed.

Both publishes are now timed and reported as `publish cost:`, counted apart
because they stall opposite threads: the event publish runs on the producer
under mutex() and blocks the UI, the pause publish runs on the UI thread and
blocks the producer. That is the number a second live ring has to be judged
against.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/model.cpp

@@ -516,6 +516,9 @@ void ScopeModel::reset_live_history_locked() {
 }
 
 void ScopeModel::publish_pause_view(double lo_s, double hi_s, double x_offset) {
+  // Timed from before the lock: the wait for it is part of what freezing a view costs the thread
+  // doing it, and this one is the UI's.
+  const std::uint64_t t0 = now_ns();
   auto snap = std::make_shared<EventSnapshot>();
   snap->x_offset = x_offset;
   std::lock_guard<std::mutex> lock(mutex_);
@@ -537,6 +540,7 @@ void ScopeModel::publish_pause_view(double lo_s, double hi_s, double x_offset) {
   }
   snap->values.resize(channels_.size());
   snap->y.resize(channels_.size(), plot::Range{0.0, 0.0});
+  snap->pyramids.resize(channels_.size());
   for (std::size_t c = 0; c < channels_.size(); ++c) {
     const u64 stride = std::max<u64>(1, part_.stride[c]);
     auto& vals = snap->values[c];
@@ -545,16 +549,42 @@ void ScopeModel::publish_pause_view(double lo_s, double hi_s, double x_offset) {
     if (take > 0) src.values(c).copy_from(first + n - take, take, vals.data());
     f32 lo = vals.empty() ? 0.0f : vals.front();
     f32 hi = lo;
+    // The LOD index, folded into the bounds pass exactly as `publish_event()` folds it, and for
+    // the same reason: a snapshot that answers `pyramid()` with an empty one has `level_for()`
+    // descend to level 0, so the frozen view is re-gathered from every raw sample it holds on
+    // every frame it is on screen. A pause is not a cheaper case than a capture -- it freezes the
+    // *same* rings -- and leaving it out was visible twice over. The cost: `frame path:` read
+    // `raw=21 lod=118` over a 1.6 s pause against `raw=1 lod=170` for the same run live, with the
+    // draw mean 12.34 -> 18.18 ms. And the *look* changed, which is the half a cost figure does
+    // not show: `stage_trace_density()` grades a column against its own peak from a `1/height`
+    // deposit per segment, so a column fed ~660 raw inter-sample segments accumulates a far
+    // spikier distribution -- and a far larger peak to normalise against -- than one fed the one
+    // or two bucket envelopes the pyramid gives. The paused trace read as a hard bright core with
+    // its dwell tail dimmed out, i.e. the trace changed appearance on pause.
+    //
+    // It is not free, and the trade is one-off against per-frame: building it took the pause
+    // publish from 6.15 ms to 22.31 ms (`publish cost:`), which blocks the *producer* -- against
+    // ~5 ms a frame of draw for as long as the pause lasts, which at ~60 fps a 1.6 s pause repays
+    // thirty times over. The gaps a pause costs are **not** this: they measured 79 without the
+    // pyramid and 73 with, so they are the pause's own and still unexplained.
+    auto& pyr = snap->pyramids[c];
+    pyr.reserve(take);
     for (f32 v : vals) {
       lo = std::min(lo, v);
       hi = std::max(hi, v);
+      pyr.append(v);
     }
     snap->y[c] = plot::Range{lo, hi};
   }
   pause_view_.store(std::move(snap), std::memory_order_release);
+  note_publish(publish_pause_count_, publish_pause_us_total_, publish_pause_us_worst_,
+               (now_ns() - t0) / 1000u);
 }
 
 void ScopeModel::publish_event(double pre_s, double post_s, double edge) {
+  // The caller is the producer and already holds `mutex()`, so every microsecond counted here is a
+  // microsecond the UI tick is blocked for -- which is what the documented `tick` max is made of.
+  const std::uint64_t t0 = now_ns();
   auto snap = std::make_shared<EventSnapshot>();
   snap->x_offset = edge;  // the stream time x = 0 means, for everything that has to cross back
   BufferStore& src = live();
@@ -605,6 +635,8 @@ void ScopeModel::publish_event(double pre_s, double post_s, double edge) {
   // Bumped after the snapshot is in place, so a consumer that sees the new sequence
   // number sees the snapshot it counts.
   event_seq_.fetch_add(1, std::memory_order_release);
+  note_publish(publish_event_count_, publish_event_us_total_, publish_event_us_worst_,
+               (now_ns() - t0) / 1000u);
 }
 
 void BufferStore::set_epoch(f64 epoch) noexcept {

src/model.hpp

@@ -224,6 +224,37 @@ class ScopeModel {
   std::uint64_t math_cost_ns() const noexcept {
     return math_cost_ns_.load(std::memory_order_relaxed);
   }
+  /// What freezing a view costs, and *which thread it costs it to*. The two publishes are stalls on
+  /// opposite sides of `mutex()` and so are counted apart: `publish_event()` runs on the **producer**
+  /// with the lock already held, so its cost lands on the UI as a long tick (the documented `tick`
+  /// max); `publish_pause_view()` runs on the **UI** thread and takes the lock, so its cost lands on
+  /// the producer and can only surface as `gaps`. Neither is attributable in a frame mean, which is
+  /// why they are counted rather than inferred. Each counter is written by one thread and read by the
+  /// dump, so a relaxed store of a value already in hand is enough.
+  ///
+  /// This is the number to judge a second live ring against: freezing a whole `BufferStore` would
+  /// make both figures zero, since a `ChannelBuffer` maintains its pyramid incrementally and there
+  /// would be nothing to copy -- but it costs a second budget's worth of memory and a second
+  /// per-sample write on the producer, so it is worth paying only if the worst figures here are
+  /// large enough to matter.
+  std::uint64_t publish_event_count() const noexcept {
+    return publish_event_count_.load(std::memory_order_relaxed);
+  }
+  std::uint64_t publish_event_us_total() const noexcept {
+    return publish_event_us_total_.load(std::memory_order_relaxed);
+  }
+  std::uint64_t publish_event_us_worst() const noexcept {
+    return publish_event_us_worst_.load(std::memory_order_relaxed);
+  }
+  std::uint64_t publish_pause_count() const noexcept {
+    return publish_pause_count_.load(std::memory_order_relaxed);
+  }
+  std::uint64_t publish_pause_us_total() const noexcept {
+    return publish_pause_us_total_.load(std::memory_order_relaxed);
+  }
+  std::uint64_t publish_pause_us_worst() const noexcept {
+    return publish_pause_us_worst_.load(std::memory_order_relaxed);
+  }
   const std::vector<SignalInfo>& signals() const noexcept { return signals_; }
   const std::vector<ChannelInfo>& channels() const noexcept { return channels_; }
 
@@ -491,6 +522,22 @@ class ScopeModel {
   std::atomic<std::uint64_t> math_slots_{0};
   std::atomic<std::uint64_t> math_timed_{0};
   std::atomic<std::uint64_t> math_cost_ns_{0};
+  /// See `publish_event_count()`. Single-writer each: the first three are the producer's, the last
+  /// three the UI thread's.
+  std::atomic<std::uint64_t> publish_event_count_{0};
+  std::atomic<std::uint64_t> publish_event_us_total_{0};
+  std::atomic<std::uint64_t> publish_event_us_worst_{0};
+  std::atomic<std::uint64_t> publish_pause_count_{0};
+  std::atomic<std::uint64_t> publish_pause_us_total_{0};
+  std::atomic<std::uint64_t> publish_pause_us_worst_{0};
+  /// Fold one publish's elapsed microseconds into a counter triple. Called by the one thread that
+  /// owns the triple, so the load/store pairs need no read-modify-write.
+  static void note_publish(std::atomic<std::uint64_t>& count, std::atomic<std::uint64_t>& total,
+                           std::atomic<std::uint64_t>& worst, std::uint64_t us) noexcept {
+    count.store(count.load(std::memory_order_relaxed) + 1, std::memory_order_relaxed);
+    total.store(total.load(std::memory_order_relaxed) + us, std::memory_order_relaxed);
+    if (us > worst.load(std::memory_order_relaxed)) worst.store(us, std::memory_order_relaxed);
+  }
   std::vector<bool> enabled_;
 
   Partition part_;

src/ui.cpp

@@ -8383,6 +8383,28 @@ int run_ui(int argc, char** argv, const Config& cfg, ScopeModel& model, Acquisit
                     per_slot * static_cast<double>(app.model->math_slots()) / 1.0e6);
       }
     }
+    // What freezing a view costs, counted apart for the two publishes because they stall opposite
+    // threads (see `ScopeModel::publish_event_count()`). This is the figure a second live ring would
+    // buy: freezing a whole `BufferStore` copies nothing and inherits the pyramid the producer
+    // already maintains, so both `worst` figures would be 0 -- at a second budget's worth of memory
+    // and a second per-sample write on the producer. Read `event worst` against `frame cost:`'s
+    // `tick` max (the same stall, seen from the UI) and `pause worst` against `gaps`.
+    {
+      const auto ev = app.model->publish_event_count();
+      const auto pa = app.model->publish_pause_count();
+      std::printf("[udpscope]   publish cost: %llu events, %.2f/%.2f ms (mean/worst, blocks the UI);"
+                  " %llu pauses, %.2f/%.2f ms (mean/worst, blocks the producer)\n",
+                  static_cast<unsigned long long>(ev),
+                  ev > 0 ? static_cast<double>(app.model->publish_event_us_total()) /
+                               static_cast<double>(ev) / 1000.0
+                         : 0.0,
+                  static_cast<double>(app.model->publish_event_us_worst()) / 1000.0,
+                  static_cast<unsigned long long>(pa),
+                  pa > 0 ? static_cast<double>(app.model->publish_pause_us_total()) /
+                               static_cast<double>(pa) / 1000.0
+                         : 0.0,
+                  static_cast<double>(app.model->publish_pause_us_worst()) / 1000.0);
+    }
     // Unconditional, unlike the pane's own lines below: this is about the instruments the app
     // *created*, which exist whether or not any measurement was added.
     std::printf("[udpscope]   readout instruments locked: %d (trigger marker + measurement marks)\n",