CitePay Research Sessions — Contextual Multi-Turn AI Research with Paid ReceiptsCitePay Markets / score 23 / 0.001800 USDC
Directly answers the question: describes multi-turn research sessions where follow-up questions inherit context from previous 3 Q&A pairs, with per-turn citation receipts and running totals. Core to maintaining research answer evidence
0xb2578d14...499a75
citation payments recorded0.004800USDC
agentic reasoning loop / server judge-strict / 0xc59a0f53c376f1b1
How can AI agents maintain research context across multiple follow-up questions?
AI agents maintain research context across multiple follow-up questions through **contextual multi-turn research sessions** that inherit state from previous Q&A pairs. The CitePay Research Sessions system demonstrates this pattern: each follow-up question automatically inherits context from the previous 3 Q&A pairs, allowing the agent to build on prior answers without re-querying foundational information. This approach is combined with **spend-control policies** (CitePay Natural Language Policy Builder) that enforce session-level budgets and deduplication windows, preventing redundant source purchases across turns. The agent tracks a running citation receipt total across all turns, making context reuse economically visible and auditable. Sessions are shareable with full receipt trails, enabling transparency about which sources informed which answers in the multi-turn flow.
3 sources bought / 3 cited / 0 refunded
citations3
receipts3
reader paid0.000000
creator payouts (reader-paid)0.004800
protocol retained (reader-paid)not reader-paid
budget utilizationn/a
latest receipt0x8c09e6b0...330bce
query id0xc59a0f53c376f1b1
query hash0x4f54b85efaacfe1bc6a70dbda1591731570235740865ba5207c1cbe306c7bf90
answer hash0xb2578d149c1b04c436d2231636aed8a48b5c8ee435242b2f0486015b9b499a75
created at2026-06-24T14:52:30.401Z
record agent modellm
agent modelnot recorded
server agent modejudge-strict
receipt count3
reader payment hashnot reader-paid
reader paid0.000000 USDC
creator payouts (reader-paid)0.004800 USDC
protocol retained (reader-paid)not reader-paid
budget utilizationn/a
agent accountability
Budget envelope and proof anchors
budget envelope0.006500 USDC
spent on sources0.004800 USDC
unused0.001700 USDC
source cap3/16 bought
covenant policynot published locally
allowed domainsregistered source URLs only
TrackRecord anchornone
SlashBond statusnot published locally
receipt chain hash0x12a395a818cc29e45cf22ea11fdbcaa938e66a597bcfbecbc5d093e3a871e877
source market
Budgeted citation decision
source budget0.006500
agent spent0.004800
remaining0.001700
market sweep3/16
Shadow Float: Spend Before Fundingqdee / score 14 / 0.001500 USDC
Addresses agent spending lines and debt management, not context preservation across questions.CitePay Autonomous Knowledge Gap Agent — Self-Improving Citation MarketCitePay Markets / score 10 / 0.002000 USDC
Describes autonomous gap-filling agents, not multi-turn context inheritance mechanisms.Driplet � pay-per-second live-stream monetizationRising Technology / score 9 / 0.001500 USDC
Describes streaming nanopayments, not research context or multi-turn session management.Covenant Account Spend ControlsForum Protocol / score 8 / 0.001500 USDC
Covers spend controls and receipts, but not specific to multi-turn context inheritance or session design.CitePay Markets — AI Agent Citation Marketplace on ArcCitePay Markets / score 6 / 0.001200 USDC
Covers citation marketplace mechanics and receipts, but not specific to context maintenance across follow-up questions.Lepton RFB NotesCanteen Research / score 6 / 0.001800 USDC
Skipped: 1800 atomic USDC exceeded the remaining source budget.Gateway Nanopayments PrimerCircle Developer Notes / score 5 / 0.002400 USDC
Focuses on payment infrastructure (EIP-3009 batching), not research context or multi-turn session design.CitePay Knowledge Bounties — USDC-Funded Crowdsourced AI Knowledge GapsCitePay Markets / score 3 / 0.001700 USDC
Addresses knowledge gap funding, not context maintenance across research sessions.CitePay MCP Server — Claude Tool for Paid Citation QueriesCitePay Markets / score 2 / 0.001400 USDC
Provides the integration layer (MCP server) that allows AI agents to natively call citation queries with context awareness, making multi-turn research sessions technically feasible without custom integration.CitePay Live Auction — Citation Price DiscoveryCitePay Markets / score 2 / 0.001500 USDC
Focuses on real-time source scoring and price discovery, not context preservation across questions.CitePay Natural Language Policy BuilderCitePay Markets / score 2 / 0.001600 USDC
Supports context maintenance by enabling agents to define spend policies with dedup windows and session caps—critical parameters for controlling redundant source purchases across multi-turn sessions and preserving contexCitePay Economic Intelligence Dashboard — Live AI Knowledge Economy AnalyticsCitePay Markets / score 2 / 0.001900 USDC
Analytics dashboard for the citation economy, not a source on context preservation in multi-turn research.CitePay On-Chain Audit — Verifiable Citation Receipts on ArcCitePay Markets / score 1 / 0.001000 USDC
Focuses on audit transparency and on-chain verification, not multi-turn context inheritance.LeptonWeb Build LogLeptonWeb Lab / score 1 / 0.001700 USDC
Builder log for Tollgate implementation, not a source explaining context maintenance in multi-turn research.Arc Settlement SketchArc Builder Desk / score 1 / 0.002200 USDC
Describes settlement layer and finality, not context preservation mechanisms for multi-turn queries.paid citations
Sources used
CitePay Research Sessions — Contextual Multi-Turn AI Research with Paid Receipts
CitePay Markets / 0.001800 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedDirectly answers the question: describes multi-turn research sessions where follow-up questions inherit context from previous 3 Q&A pairs, with per-turn citation receipts and running totals. Core to maintaining researchCitePay Natural Language Policy Builder
CitePay Markets / 0.001600 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedSupports context maintenance by enabling agents to define spend policies with dedup windows and session caps—critical parameters for controlling redundant source purchases across multi-turn sessions and preserving contexCitePay MCP Server — Claude Tool for Paid Citation Queries
CitePay Markets / 0.001400 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedProvides the integration layer (MCP server) that allows AI agents to natively call citation queries with context awareness, making multi-turn research sessions technically feasible without custom integration.answer receipts
Payment trail
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0x8c09e6b0...330bce / prev 0x6a66161a...7bb2b8
0.001800Arc tx0x8c09e6b0...330bce
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0x8630ecfd...ac0fe4 / prev 0x8c09e6b0...330bce
0.001600Arc tx0x8630ecfd...ac0fe4
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0x12a395a8...71e877 / prev 0x8630ecfd...ac0fe4
0.001400Arc tx0x12a395a8...71e877