ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/contextbudget-budget-aware-context-management-for-long-horizon-search-agents

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

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 contextbudget-budget-aware-context-management-for-long-horizon-search-agents | Route /signal-canvas/contextbudget-budget-aware-context-management-for-long-horizon-search-agents

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/contextbudget-budget-aware-context-management-for-long-horizon-search-agents

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "contextbudget-budget-aware-context-management-for-long-horizon-search-agents",
    "query_text": "Summarize ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents",
  "normalized_query": "2604.01664",
  "route": "/signal-canvas/contextbudget-budget-aware-context-management-for-long-horizon-search-agents",
  "paper_ref": "contextbudget-budget-aware-context-management-for-long-horizon-search-agents",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

PDF: https://arxiv.org/pdf/2604.01664v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:40.820Z

Signal Canvas receipt window

Watch and verify: ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

/buildability/contextbudget-budget-aware-context-management-for-long-horizon-search-agents

Watchwatch

Subject: ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
achieving over $1.6\times$ gains over strong baselines in high-complexity settings
Implicationpartial
Directly stated in abstract with clear numeric evidence
Verificationpartial
partial
Evidencepartial
while maintaining strong advantages as budgets shrink, where most methods exhibit a downward performance trend
Implicationpartial
Directly stated in abstract with comparative analysis
Verificationpartial
partial
Evidencepartial
which formulates context management as a sequential decision problem with a context budget constraint
Implicationpartial
Directly stated in abstract as core methodological contribution
Verificationpartial
partial
Evidencepartial
It enables agents to assess the available budget before incorporating new observations and decide when and how much of the interaction history to compress
Implicationpartial
Directly stated in abstract describing key functionality
Verificationpartial
partial
Evidencepartial
We further develop BACM-RL, an end-to-end curriculum-based reinforcement learning approach that learns compression strategies under varying context budgets
Implicationpartial
Directly stated in abstract describing technical approach
Verificationpartial
partial
Evidencepartial
yet their context size is limited by deployment factors (e.g., memory, latency, and cost), yielding a constrained context budget
Implicationpartial
Directly stated in abstract as problem motivation
Verificationpartial
partial
Evidencepartial
BACM-RL consistently outperforms prior methods across model scales and task complexities
Implicationpartial
Directly stated in abstract with broad comparative claim
Verificationpartial
partial
Evidencepartial
Experiments on compositional multi-objective QA and long-horizon web browsing benchmarks show that
Implicationpartial
Directly stated in abstract with specific benchmark details
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents

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