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ARXIV:2604.06409 · LLM PRIVACY · SUBMITTED 09 APR · 20:10 UTC · FRESHNESS UNKNOWN
ARXIV:2604.06409LLM PRIVACYSUBMITTED 09 APR · 20:10 UTCFRESHNESS UNKNOWNYunze Xiao · Wenkai Li · Xiaoyuan Wu · Ningshan Ma · Yueqi Song · Weihao Xuan · arXiv
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol.
Opportunity summary
Pain Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol.
Evidence 0 refs | 0 sources | 0% coverage
Blocker Evidence unverified
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction),…
LLM agents increasingly draft messages on behalf of users, yet users routinely overshare sensitive information and disagree on what counts as private. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information…
ScienceToStartup currently rates this 3.0/10 on the public viability pass. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving…
LLM Privacy moved forward this cycle; last verified April 2026. Public score 3.0/10.
Continue into Read for claims, analysis, references, and neighboring papers.
Opportunity summary
Score3.0Public score shown from the verified overall while the stale axis breakdown refreshesAnalysis summary
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol.
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FORESIGHT
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OPPORTUNITYKERNEL CHANGES SINCE LAST VIEW
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RELATED PAPER UPDATES
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BUZZ
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Paper Pack
10.48550/arXiv.2604.06409Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol.
Abstract
LLM agents increasingly draft messages on behalf of users, yet users routinely overshare sensitive information and disagree on what counts as private. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving both the strategy space and evaluation setting incomplete. We formalize privacy-preserving LLM communication as an \textbf{Information Sufficiency (IS)} task, introduce \textbf{free-text pseudonymization} as a third strategy that replaces sensitive attributes with functionally equivalent alternatives, and propose a \textbf{conversational evaluation protocol} that assesses strategies under realistic multi-turn follow-up pressure. Across 792 scenarios spanning three power-relation types (institutional, peer, intimate) and three sensitivity categories (discrimination risk, social cost, boundary), we evaluate seven frontier LLMs on privacy at two granularities, covertness, and utility. Pseudonymization yields the strongest privacy\textendash utility tradeoff overall, and single-message evaluation systematically underestimates leakage, with generalization losing up to 16.3 percentage points of privacy under follow-up.
Source availability
PDF linkedThe paper record includes a public PDF URL.
Extraction status
Parse run pending anchorsA parse run id is attached, but no public source anchors are materialized yet.
Proof status
unverified0 refs; 0 sources; 0% coverage.
What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
Viability
Time to MVP
Commercial
Export
Preparing verified analysis
Dimensions overall score 3.0
RESULT
ScienceToStartup currently rates this 3.0/10 on the public viability pass. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving...
PROBLEM
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information...
METHOD
LLM agents increasingly draft messages on behalf of users, yet users routinely overshare sensitive information and disagree on what counts as private. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abs...
WHY NOW
LLM Privacy moved forward this cycle; last verified April 2026. Public score 3.0/10.
Abstract-backed public claims while anchored extraction refreshes.
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving both the strategy space and evaluation setting incomplete.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
LLM agents increasingly draft messages on behalf of users, yet users routinely overshare sensitive information and disagree on what counts as private. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving both the strategy space and evaluation setting incomplete.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 3.0/10 on the public viability pass. Existing systems support only suppression (omitting sensitive information) and generalization (replacing information with an abstraction), and are typically evaluated on single isolated messages, leaving both the strategy space and evaluation setting incomplete.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
LLM Privacy moved forward this cycle; last verified April 2026. Public score 3.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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CITED BY
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Concepts
Methods
Materials
Markets
Competitors
Formalizes contextual privacy for LLM agents as an Information Sufficiency task, introducing free-text pseudonymization and a conversational evaluation protocol.
Segment
LLM Privacy
Adoption evidence
No public code link in the paper record yet
Commercial read
3.0/10 public viability
Direct
Adjacent
Substitute
Unknown
No indexed public discussion is attached to 2604.06409 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.
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/api/v1/paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiency/paper-pack/api/v1/paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiency/build-passport/api/openapi.json/api/mcpsciencetostartup://surfaces/paper-workspacepaper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state{
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}Canonical route, proof status, last verified, refs, sources, and coverage.
Page Freshness
Canonical route: /paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiency
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Endpoint list, payload shape, route context, and copyable handoff data.
Agent Handoff
Canonical ID say-something-else-rethinking-contextual-privacy-as-information-sufficiency | Route /paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiency
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiencyMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.06409"
}
}source_context
{
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"mode": "paper",
"query": "Say Something Else: Rethinking Contextual Privacy as Information Sufficiency",
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"route": "/paper/say-something-else-rethinking-contextual-privacy-as-information-sufficiency",
"paper_ref": "say-something-else-rethinking-contextual-privacy-as-information-sufficiency",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Verdict, compute envelope, blockers, signature state, and receipt links.
Paper proof page receipt window
/buildability/say-something-else-rethinking-contextual-privacy-as-information-sufficiency
Subject: Say Something Else: Rethinking Contextual Privacy as Information Sufficiency
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.
Structured compute envelope
Insufficient data
Visual citations from the paper document graph.
The application/ld+json payload rendered for agents.
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}No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/say-something-else-rethinking-contextual-privacy-as-information-sufficiency
Paper ref
say-something-else-rethinking-contextual-privacy-as-information-sufficiency
arXiv id
2604.06409
Generated at
2026-04-09T20:10:12.125Z
Evidence freshness
unknown
Last verification
2026-04-09T20:10:12.125Z
Sources
0
References
0
Coverage
0%
Lineage hash
0d251b7c612ad38a7537c4265251134abfc4431812cf1d7e38010732faeb1f9e
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
paper_evidence_receipts.references_count
paper_evidence_receipts.coverage
0/3 checks · 0%
Build Passport
Build passport pending - Proof Lab budget No verified cost estimate / $7.00 cap
status
missing
reason
passport_row_missing
proof status
unverified
cost/budget
No verified cost estimate
confidence low
next verification path
Build brief missing until Build Passport data exists.
Source missing: Build Passport payload.
Experiment plan missing until prototype path is available.
No prototype path attached.
Validation checklist missing until required assets, cost, and regulatory flags are verified.
No checklist artifact is attached to the Build Passport payload.
Derived signals show verified:false until source-backed receipts exist.
Evidence coverage
OpportunityKernel evidence_receipt
0 refs / 0 sources / 0% coverage
unknown
Verify missing sources before using this as buyer proof. verified:false
Build readiness
BuildPassport EvidenceState
passport absent
unknown
Run Proof Lab or inspect typed missing state. verified:false
Artifact maturity
GitHub and Hugging Face maturity payloads
No public artifact surface observed
unknown
Open source artifacts or mark the gap as missing. verified:false
Technical feasibility
partial
Current read
Runnable path is not fully verified.
Evidence
No Build Passport payload attached.
Gaps
Next test
Run minimal reproduction from the Build Passport prototype path.
Market urgency
missing
Current read
Buyer urgency is not verified from source.
No named scientific founder assigned.
Paper authors are not treated as operators without consent.
People
No named person assigned.
Gaps
Next verification path
Prototype owner missing.
Build Passport does not name an implementer.
People
No named person assigned.
ARTIFACTS
No public artifacts yet.
DEFENSIBILITY
Defensibility and confidence evidence pending.
Evidence
0 references, 0 sources, 0% evidence coverage.
Gaps
Next test
Collect buyer interview, deployment evidence, or cited demand signal.
Buyer clarity
missing
Current read
No budget owner is verified for this paper.
Evidence
Build tab has no CRM, procurement, or operator source.
Gaps
Next test
Map target operator, economic buyer, and procurement trigger.
Defensibility
missing
Current read
Defensibility signals are missing.
Evidence
No defensibility receipt attached.
Gaps
Next test
Refresh defensibility bars with source receipts.
Integration burden
missing
Current read
No public implementation surface observed.
Evidence
No GitHub or Hugging Face payload attached.
Gaps
Next test
Write integration checklist from prototype path and target workflow.
Capital intensity
missing
Current read
No observed cost estimate is verified.
Evidence
Cost passport has no observed_usd value.
Gaps
Next test
Run cost passport or mark the cost field not applicable.
Regulatory load
missing
Current read
No regulatory classification is attached.
Evidence
Build Passport ledger does not include regulatory flags.
Gaps
Next test
Classify regulatory flags before commercialization planning.
Gaps
Next verification path
Operator workflow not sourced.
No buyer or workflow interview attached.
People
No named person assigned.
Gaps
Next verification path
No GTM owner verified.
No CRM or outreach source attached.
People
No named person assigned.
Gaps
Next verification path
Regulatory need unclassified.
No clinical or regulatory source attached.
People
No named person assigned.
Gaps
Next verification path