Archived dispatch

Why is per-citation settlement fairer than a flat per-fetch toll?

Lowconfidence— Contains synthetic demo material; its measurements cannot support factual conclusions.

· llm:deepseek:deepseek-v4-flash

§ IIThe reading1 cited
Lowconfidence— Contains synthetic demo material; its measurements cannot support factual conclusions.deep researchpreview plan 1/1 claimsportfolio 1/1 · evidence 100%

Illustrative demo content: synthetic sources and measurements are not factual research evidence. Source provenance and payment status are separate; inspect the receipt for settled, pending or simulated payments. Settlement does not authenticate a source's claims.

Per-citation settlement is fairer than a flat per-fetch toll because it pays each cited source in proportion to its contribution to the final answer . This means heavily-relied-upon sources earn more, while lightly-used ones earn less . In contrast, a flat per-fetch toll would not differentiate based on contribution, unfairly compensating sources that are barely used equally with those that are essential. The source does not explicitly compare per-citation settlement to a flat per-fetch toll, but the principle of proportional payment implies that a flat toll would be less fair.

Evidence ledger — recorded source excerpts

Research targets are unverified topics. Coverage is an estimate of excerpt support, not proof of entailment, factual truth or a complete answer.

  1. Requested topic (unverified): “Why is per-citation settlement fairer than a flat per-fetch toll?”

    0% estimated

    No qualifying excerpt recorded

No inspectable non-demo excerpts are recorded for source inspection.

Research evidence matrix

Compare unverified research targets with cited sources and inspect recorded excerpts. An empty cell means no inspectable excerpt was recorded; it does not establish whether a claim is true, false, or disputed. Coverage and agent confidence do not prove entailment, measured accuracy or complete synthesis.

Research target by cited source evidence matrix
Research target (unverified)Inspection status[S1] Per-citation payments weighted by contributionPublication: Onchain Micropayments DigestPublished: Not recorded
Why is per-citation settlement fairer than a flat per-fetch toll?Illustrative demo excerpt
Inspect 2 excerpts
A fair model pays each cited source in proportion to its contribution to the final answer.
Heavily-relied-upon sources earn more; lightly-used ones earn less.

Reference export

1 article references. Recorded titles, links and dates; observed scholarly records also include supplied authors, DOI and journal metadata with read limits. Review metadata before using in a paper. Import RIS into Zotero with File → Import.

Cited sources and references

Spent$0.025
To creators100%
Decisions0 bought · 1 cached · 20 skipped
llm:deepseek:deepseek-v4-flashArc Testnet · historical
Decision log · 45 steps
§ IThe decision$0.025 settled / $0.05
50%$0.025 under cap
Decompose

Breaking down: "Why is per-citation settlement fairer than a flat per-fetch toll?"

Decompose

Identified 1 research target(s) to investigate; these are not established facts

Decompose

Deep mode: up to 4 paid/cached reads plus one bounded gap-expansion pass when needed.

Discover

Discovered 21 verified source(s)

Discover

Recalled 12 past runs on this subject — how these sources performed when they were available.

Discover

ERC-8004 reputation loaded — composite scores on this subject.

Pre-check

Claim-aware portfolio selected 1/1 positive proposal(s): 1 cached + 0 fresh, predicting 1/1 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.

Pre-check

Free-preview pre-check maps an actionable source to every sub-claim (1/1); paid reading may proceed within the budget.

DecideCACHE
Onchain Micropayments Digest — Per-citation payments weighted by contribution$0.005 · EV 80%

Onchain Micropayments Digest explicitly discusses per-citation payments weighted by contribution, directly supporting the fairness rationale for per-citation settlement over flat tolls. Cached and free to reuse. — selected for the claim-aware evidence portfolio (targets claim 1; 0 fetch USDC, 1 attention slot).

DecideSKIP
Stablecoin Ledger — Why USDC settles instantly onchain$0.003 · EV 10%

Stablecoin Ledger focuses on USDC settlement speed, not on the fairness of per-citation vs flat tolls. No direct relevance to the claim about fairer per-citation settlement.

DecideSKIP
Agent Economy Weekly — x402 turns HTTP 402 into an agent payment rail$0.004 · EV 20%

Agent Economy Weekly covers x402 as a payment rail but does not address the fairness comparison between per-citation and flat tolls. Preview is too generic to support the claim.

DecideSKIP
Distributed Systems Notes — Idempotency keys prevent double-spends$0.003 · EV 10%

Idempotency keys prevent double-spends is about technical reliability, not about fairness of settlement models. Irrelevant to the claim.

DecideSKIP
Garden & Soil Monthly — Building a no-dig raised bed$0.002 · EV 0%

Gardening content is completely unrelated to the research question.

DecideSKIP
Retro Game Hardware — Recapping a 1990s console$0.002 · EV 0%

Retro gaming hardware is unrelated to the research question.

DecideSKIP
Stripe Blog — New currency capabilities for global businesses to cut FX costs$0.002 · EV 10%

Stripe blog about FX costs and multicurrency settlement does not address per-citation vs flat toll fairness.

DecideSKIP
Ethereum Foundation Blog — The triage is the product: running AI agents against Ethereum's protocol code$0.002 · EV 10%

Ethereum Foundation blog about AI agents and protocol code is not about payment settlement fairness.

DecideSKIP
Cointelegraph.com News — Crypto payments barely register among euro area merchants, ECB finds$0.002 · EV 10%

Cointelegraph article about crypto adoption among merchants does not discuss per-citation vs flat tolls.

DecideSKIP
Latent.Space — Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web$0.004 · EV 10%

Latent.Space article about ontologies and AI agents is not about payment settlement fairness.

DecideSKIP
Simon Willison's Weblog — Anthropic’s best AI model struggles to attract users as cheaper tools thrive$0.003 · EV 0%

Metadata only, no preview content, and topic about AI model adoption is irrelevant.

DecideSKIP
Hugging Face - Blog — Give Your Coding Agents a Memory You Own$0.003 · EV 0%

Metadata only, no preview content, and topic about coding agents memory is irrelevant.

DecideSKIP
Vitalik Buterin's website — Low-risk defi can be for Ethereum what search was for Google$0.004 · EV 0%

Metadata only, no preview content, and topic about defi is not directly about settlement fairness.

DecideSKIP
The Coinbase Blog - Medium — In response to the Wall Street Journal$0.003 · EV 10%

Coinbase blog response to WSJ is about trading practices, not about per-citation vs flat tolls.

DecideSKIP
Decrypt — Putin Signs Russia's First Crypto Law: Trading Is Legal, Payments Stay Banned$0.002 · EV 10%

Decrypt article about Russia's crypto law is not about settlement fairness models.

DecideSKIP
CoinDesk: Bitcoin, Ethereum, Crypto News and Price Data — Bitcoin and Ether bears get decimated amid 'squeeze-led' rally and Musk's X wants to pay creators in stablecoins: Crypto week in 5 stories$0.002 · EV 10%

CoinDesk weekly summary is not about per-citation vs flat toll fairness.

DecideSKIP
Inner Axiom — The Codex — ISIS: The Godess, From An Esoteric Perspective$0.002 · EV 0%

Esoteric content about Isis is completely unrelated.

DecideSKIP
Conzit Labs — Fans Choose JENNIE’s ‘Less Than a Lover’ as This Week’s Favorite New Music$0.002 · EV 0%

Music news is completely unrelated.

DecideSKIP
Arc Settlement Benchmarks — Measuring x402 settlement latency on Arc$0.003 · EV 30%

Arc Settlement Benchmarks measures latency, not fairness of per-citation vs flat tolls. It has good reputation but doesn't address the specific claim.

DecideSKIP
Web Payments Review — How long do x402 payments take to finalize?$0.002 · EV 20%

Web Payments Review discusses settlement timing, not fairness of per-citation vs flat tolls.

DecideSKIP
Keryx Engineering (first-party) — Recovering a Keryx paid research job$0.002 · EV 20%

Keryx engineering notes about buyer recovery are not about per-citation vs flat toll fairness.

Fetch

Agent spend wallet ready: 0xb0064DDfa962D85BbD917Beb4CA0efCe165e5475 (balance sufficient)

Fetch

Reused cached Onchain Micropayments Digest — Per-citation payments weighted by contribution (free) — S1

Re-evaluate

Sub-claim "Why is per-citation settlement fairer than a flat per-fetch …": 60% covered by S1 — The passage explains that per-citation payments are fair because they are proportional to contribution, but it does not explicitly contrast with a flat per-fetch toll or explain why the latter is less fair.

Re-evaluate

Coverage is partial (0.6) but the missing contrast is not clearly addressed by any skipped source; most are irrelevant or too expensive relative to the remaining budget. No additional purchases are recommended.

Sufficiency

Final check — "Why is per-citation settlement fairer than a flat per-fetch …": 80% assessed by S1

Sufficiency

Final coverage assessment — The single passage directly explains that a fair model pays sources in proportion to contribution, contrasting with a flat per-fetch toll by implying weighted settlement is fairer. It explicitly states the principle but does not explicitly compare to a flat toll or detail why flat is unfair. Coverage is high because the core answer is present, though the explicit contrast is missing.

Synthesize

Synthesizing a grounded answer from 1 source(s)…

Evidence

Relevance review returned; only checked excerpts can retain support, and review cannot raise it.

Evidence

Verified — S1 supports claim 1 at 90%: “A fair model pays each cited source in proportion to its contribution to the final answer.”

Evidence

Verified — S1 supports claim 1 at 90%: “Heavily-relied-upon sources earn more; lightly-used ones earn less.”

Synthesize

Drafted answer citing 1 source(s)

Verdict

Confidence: Moderate — 1 evidence-verified source cover every sub-claim, but corroboration or support strength is limited.

Attribute

Onchain Micropayments Digest contributed 100% → reward $0.025

Settle

Paid $0.015 citation reward → Mara Okoye; Circle confirmed settlement even though the paid route acknowledgement failed.

Settle

Paid $0.01 citation reward → Devin Park; Circle confirmed settlement even though the paid route acknowledgement failed.

Done

Done. Spent $0.025 across 2 confirmed/simulated payment(s) to creators.

Read checkpoints

Read checkpoint evidence is unavailable for this report. Historical, private and unsupported native runs are not reconstructed.

Portable research receipt

Take the evidence trail with you

One deterministic JSON bundle binds the answer, visible decisions, exact article versions, claim evidence and a Circle-settlement snapshot under SHA-256. Retain the digest to detect later changes; the self-check is not a publisher or Keryx signature.

Manage question privacy

Recorded purchase outcomes

Did the exact article versions bought for this answer appear in its citations? This view scores retained BUY decisions against payment observations recorded in the same dispatch trace.

Recorded settlement bookkeeping only; Circle and chain settlement have not been independently rechecked here.

This is a partial retained trace sample, not a full payment ledger. An absent matching payment does not prove that no payment occurred; excluded and unconfirmed costs remain unknown.

Recorded network
eip155:5042002
Dispatch recorded at
2026-09-08T22:26:24.824Z
Frozen testnet archive, captured 2026-10-03T00:26:18.665Z. This is historical testnet evidence, separate from current mainnet activity.
Archive source commit
f9dca8d04f4657abbf0153175feec65728ba6a99
Archive database SHA-256
c5d9c0d2bf01099de526d7510321eabd1b0e3519f2792d40b61e49062d766272

Participant cohort: unknown. No outside-customer usage is inferred.

0 scored exact-version purchases from 0 recorded BUY decisions; 0 BUY decisions unscored. 2 of 2 trace payment observations excluded.

Each unique source + item + content version with positive matching recorded settled access counts once. Duplicate BUYs, missing identities, zero/unconfirmed access and incompatible payment observations cannot create a scored purchase. CACHE and SKIP decisions are outside this sample.

Exact-version citation hit rate
Unmeasured

No scored purchases; the hit rate is unmeasured.

Recorded access cost of uncited purchases
Unmeasured

Counts only scored purchases. Descriptive access cost, not causal regret or proof that the purchase was useless.

Predicted value and observed citations

Bins compare the recorded predicted value with citation occurrence in this one dispatch. Small samples do not validate a probability model.

Value bandPurchasesPredicted mean (0–1)Citation rate
0–0.20UnmeasuredUnmeasured
0.2–0.40UnmeasuredUnmeasured
0.4–0.60UnmeasuredUnmeasured
0.6–0.80UnmeasuredUnmeasured
0.8–10UnmeasuredUnmeasured

Missed value, cost per supported claim, budget alternatives and counterfactual outcomes are unmeasured. No extra reading or learning was performed.

A new follow-up runs on Arc mainnet with today’s sources and budget. Only the historical question supplies context.

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Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.

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