Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues | Route /signal-canvas/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialoguesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues",
"query_text": "Summarize Bounded State in an Infinite Horizon: Proactive Hierarchical Memory for Ad-Hoc Recall over Streaming Dialogues"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Bounded State in an Infinite Horizon: Proactive Hierarchical Memory for Ad-Hoc Recall over Streaming Dialogues",
"normalized_query": "2603.04885",
"route": "/signal-canvas/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues",
"paper_ref": "bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 8
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Bounded State in an Infinite Horizon: Proactive Hierarchical Memory for Ad-Hoc Recall over Streaming Dialogues
PDF: https://arxiv.org/pdf/2603.04885v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues
Subject: Bounded State in an Infinite Horizon: Proactive Hierarchical Memory for Ad-Hoc Recall over Streaming Dialogues
Verdict
Watch
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
we introduce STEM-Bench, the first benchmark for STreaming Evaluation of Memory
Explicitly stated in abstract with clear description of benchmark scope and novelty
partial
It comprises over 14K QA pairs in dialogue streams that assess perception fidelity, temporal reasoning, and global awareness
Direct numeric claim about benchmark size with specific assessment dimensions listed
partial
existing read-then-think memory is fundamentally misaligned with this setting, as it cannot support ad-hoc memory recall while streams unfold
Direct statement about limitation of existing approaches with clear reasoning
partial
The preliminary analysis on STEM-Bench indicates a critical fidelity-efficiency dilemma: retrieval-based methods use fragment context, while full-context models incur unbounded latency
Directly stated as a key finding from preliminary analysis with clear trade-off description
partial
It enables ad-hoc memory recall on demand by reasoning over continuous streams with multi-granular distillation
Direct description of method's core capability with specific technical approach
partial
it employs Adaptive Spatiotemporal Optimization to dynamically optimize retention based on expected utility
Explicit technical description of a key component of the proposed method
partial
It enables a bounded knowledge state for lower inference latency without sacrificing reasoning fidelity
Direct claim about method's benefits with clear performance trade-off resolution
partial
Experiments show that ProStream outperforms baselines in both accuracy and efficiency
Direct performance claim but lacks specific numeric evidence in provided text
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues
Paper ref
bounded-state-in-an-infinite-horizon-proactive-hierarchical-memory-for-ad-hoc-recall-over-streaming-dialogues
arXiv id
2603.04885
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
604cb943a997200a59d2ca96574907c10de7091a2c6c5596ee25f9118396777a
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Verification pending / evidence receipt incomplete
repo_url
references