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Update app.py

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  1. app.py +4 -0
app.py CHANGED
@@ -39,15 +39,19 @@ MAX_HISTORY = 6 # turns to keep in context
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  DEMO_TEXT = """The ConjunctionReservoir is a document retrieval system that asks not
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  "do these query terms appear somewhere in this chunk?" but rather
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  "do these query terms appear in the SAME SENTENCE?"
 
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  This is grounded in auditory neuroscience. Norman-Haignere et al. (2025)
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  showed that auditory cortex integration windows are time-yoked at approximately
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  80ms — they are fixed clocks, not expanding to cover arbitrary structure.
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  The sentence is the text analog of this fixed window.
 
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  NMDA receptors implement coincidence detection by requiring simultaneous
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  presynaptic glutamate release and postsynaptic depolarization to open.
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  This is a hard AND gate, not a weighted average.
 
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  The conjunction_threshold parameter mirrors this: below the threshold,
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  a sentence contributes zero score to the chunk — it is absent, not degraded.
 
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  Benchmark results show ConjunctionReservoir achieves 100% Rank-1 Rate on
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  conjunction-specific queries, compared to 60% for both BM25 and SweepBrain.
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  It intentionally trades broad-query recall for precision on specific
 
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  DEMO_TEXT = """The ConjunctionReservoir is a document retrieval system that asks not
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  "do these query terms appear somewhere in this chunk?" but rather
41
  "do these query terms appear in the SAME SENTENCE?"
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+
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  This is grounded in auditory neuroscience. Norman-Haignere et al. (2025)
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  showed that auditory cortex integration windows are time-yoked at approximately
45
  80ms — they are fixed clocks, not expanding to cover arbitrary structure.
46
  The sentence is the text analog of this fixed window.
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+
48
  NMDA receptors implement coincidence detection by requiring simultaneous
49
  presynaptic glutamate release and postsynaptic depolarization to open.
50
  This is a hard AND gate, not a weighted average.
51
+
52
  The conjunction_threshold parameter mirrors this: below the threshold,
53
  a sentence contributes zero score to the chunk — it is absent, not degraded.
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+
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  Benchmark results show ConjunctionReservoir achieves 100% Rank-1 Rate on
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  conjunction-specific queries, compared to 60% for both BM25 and SweepBrain.
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  It intentionally trades broad-query recall for precision on specific