Phantasia: Context-Adaptive Backdoors in Vision Language Models
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/phantasia-context-adaptive-backdoors-in-vision-language-models
- Proof freshness
- stale
- Proof status
- verified
- Display score
- 4/10
- Last proof check
- 2026-04-10
- Score updated
- 2026-04-10
- Score fresh until
- 2026-05-10
- References
- 0
- Source count
- 4
- Coverage
- 67%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Phantasia: Context-Adaptive Backdoors in Vision Language Models
Canonical ID phantasia-context-adaptive-backdoors-in-vision-language-models | Route /signal-canvas/phantasia-context-adaptive-backdoors-in-vision-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/phantasia-context-adaptive-backdoors-in-vision-language-modelsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "phantasia-context-adaptive-backdoors-in-vision-language-models",
"query_text": "Summarize Phantasia: Context-Adaptive Backdoors in Vision Language Models"
}
}source_context
{
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"query": "Phantasia: Context-Adaptive Backdoors in Vision Language Models",
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"paper_ref": "phantasia-context-adaptive-backdoors-in-vision-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Phantasia: Context-Adaptive Backdoors in Vision Language Models
PDF: https://arxiv.org/pdf/2604.08395v1
Repository: https://github.com/cvpr-org/author-kit
Source count: 4
Coverage: 67%
Last proof check: 2026-04-10T20:18:26.754Z
Signal Canvas receipt window
Not build-ready: Phantasia: Context-Adaptive Backdoors in Vision Language Models
/buildability/phantasia-context-adaptive-backdoors-in-vision-language-models
Subject: Phantasia: Context-Adaptive Backdoors in Vision Language Models
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/phantasia-context-adaptive-backdoors-in-vision-language-models
Paper ref
phantasia-context-adaptive-backdoors-in-vision-language-models
arXiv id
2604.08395
Freshness
Generated at
2026-04-10T20:18:26.754Z
Evidence freshness
stale
Last verification
2026-04-10T20:18:26.754Z
Sources
4
References
0
Coverage
67%
Hash state
Lineage hash
be3b5b4dc22be288f7ac10505dc2f967365e2ccfc643917bb4cfe440ba09f536
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: references
- Missing: paper_extraction_scorecards
Pending verification refs / 4 sources / Verification pending
references
paper_extraction_scorecards
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Phantasia: Context-Adaptive Backdoors in Vision Language Models
Canonical Paper Receipt
Last verification: 2026-04-10T20:18:26.754ZFreshness: stale
Proof: verified
Repo: active
References: 0
Sources: 4
Coverage: 67%
- - references
- - paper_extraction_scorecards
No unresolved unknowns recorded.
Preparing verified analysis
Dimensions overall score 4.0
GitHub Code Pulse
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No public claim map is available for this paper yet.
Startup potential card
Related Resources
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