Can you give a concrete example of citation rewards weighted by source contribution using published source material?
10/1/2026, 2:02:48 PM · llm:deepseek:deepseek-v4-flash
A concrete example from the published source material is Keryx's citation-reward mechanism: the model proposes contribution weights for accepted sources , and Keryx then resolves those weights and allocates the citation pool using integer micro-USDC amounts . The Onchain Micropayments Digest abstract describes the same general principle—paying each cited source in proportion to its contribution to the final answer —but it is only an abstract and provides no concrete implementation example, so the specific worked example comes from S1.
Evidence ledger — supporting quotes
What is a concrete example of citation rewards weighted by source contribution, based on published source material?
60%“Keryx resolves those weights and allocates the citation pool using integer micro-USDC amounts.” [S1] How Keryx pays cited creators
“A fair model pays each cited source in proportion to its contribution to the final answer.” [S2] Per-citation payments weighted by contribution
Cited sources and references
- 1How Keryx pays cited creatorsKeryx Engineering (first-party) · 2026-09-0885%$0.01275 planned
- 2Per-citation payments weighted by contributionOnchain Micropayments Digest15%$0.00225 planned
Decision log · 53 steps
Breaking down: "Can you give a concrete example of citation rewards weighted by source contribution using published source material?"
Identified 1 research target(s) to investigate; these are not established facts
Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.
Discovered 21 verified creator source(s) and 4 free public reference(s)
Recalled 60 past runs on this subject — how these sources performed when they were available.
ERC-8004 reputation loaded — composite scores on this subject.
Claim-aware portfolio selected 2/4 positive proposal(s): 2 cached + 0 fresh, predicting 1/1 claim(s) above the evidence floor with $0.000000/$0.015000 fetch USDC reserved.
Free-preview pre-check maps an actionable source to every sub-claim (1/1); paid reading may proceed within the budget.
First-party Keryx engineering doc explicitly covers citation rewards, contribution weights, and exact-quote evidence checks — the exact mechanism the question asks for a concrete example of. Highest reputation (41/100) and 45% citation rate on this subject. Already cached, so reuse free. — selected for the claim-aware evidence portfolio (targets claim 1; 0 fetch USDC, 1 attention slot).
Onchain Micropayments Digest's piece 'Per-citation payments weighted by contribution' directly matches the question's core concept of rewards weighted by source contribution. Strong reputation (33/100), 33% citation rate, avg weight 1.0. Cached, so free. — selected for the claim-aware evidence portfolio (targets claim 1; 0 fetch USDC, 1 attention slot).
Stablecoin Ledger covers stablecoins as agent budget units — relevant background for how citation rewards are denominated/settled, but only tangential to the weighting mechanism itself. Cached and free, decent reputation (29/100). — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.015000 fetch-budget caps, so this proposal stays unspent.
Arc Settlement Benchmarks measures x402 settlement latency on Arc — supports the settlement/payout side of citation rewards, not the weighting formula. Cached and free, solid reputation (26/100). — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.015000 fetch-budget caps, so this proposal stays unspent.
Web Payments Review explains x402 payment finalization timing — peripheral to citation reward weighting but useful for the payment-rail context. Cached and free; 50% citation rate historically. — cached bytes are free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).
Agent Economy Weekly describes x402 as an agent payment rail — contextual for how per-citation payments flow, but does not address contribution weighting. Cached and free. — cached bytes are free, but this read does not clear the attention gate (EV 0.35, minimum 0.45, with a required claim target).
About open-source AI tooling, not citation rewards or payment weighting. No connection to the claim. - free public feed reference; no purchase or creator reward.
Cloudflare Workers module registry engineering — unrelated to citation rewards or weighted payments. - free public feed reference; no purchase or creator reward.
LLM agent architecture overview; no material on citation rewards or contribution weighting. - free public feed reference; no purchase or creator reward.
NASA engineering excellence report commentary — irrelevant to the payment/citation question. - free public feed reference; no purchase or creator reward.
Idempotency keys prevent double-spends — tangentially relevant to safe payout retries but not to citation reward weighting. Low value for this claim.
Gardening content, entirely off-topic.
Retro console repair, entirely off-topic.
Stripe OUSD announcement concerns stablecoin availability, not citation reward weighting. Not cached and low relevance.
Ethereum Foundation AI-agent triage post — no citation reward or contribution-weight content.
Ethena USDe payments app news; unrelated to citation reward weighting.
Latent.Space interview on underwriting agents — no citation reward weighting mechanism.
Blender coding agents; metadata-only and off-topic.
Agent memory blog; metadata-only and unrelated to citation rewards.
Vitalik on low-risk DeFi; metadata-only, no citation reward weighting content.
Coinbase response to WSJ about proprietary trading; irrelevant.
Decrypt NFT ownership piece; never cited on this subject and off-topic.
CoinDesk dollar/euro onchain gap; no citation reward weighting content.
Esoteric Isis article; entirely off-topic.
Open vs closed AI models; unrelated to citation rewards.
Agent spend wallet ready: 0x29028Fe1122E17Fe7863A22701e863FE4DaE1aFB (balance sufficient)
Reused cached Keryx Engineering (first-party) — How Keryx pays cited creators (free) — S1
Reused cached Onchain Micropayments Digest — Per-citation payments weighted by contribution (free) — S2
Sub-claim "What is a concrete example of citation rewards weighted by s…": 70% covered by S1, S2 — S1 (Keryx first-party engineering doc) directly describes a concrete mechanism: the model proposes contribution weights for accepted sources, Keryx resolves those weights and allocates the citation pool using integer micro-USDC amounts, only evidence-ledger-accepted sources enter the allocation, and creator payment calls use the source's authoritative payment terms. S2 (abstract) adds the proportional-payment concept (heavily-relied-upon sources earn more; multi-author works split a reward). Together these give a concrete example of weighting citation rewards by source contribution. The gap is that no fully worked numeric example (specific weights, amounts, or a step-by-step allocation) is provided, and S2 is only an abstract.
Coverage is adequate (0.7): S1 supplies a concrete, published mechanism for weighting citation rewards by source contribution, and S2 corroborates the proportional model. The remaining gap is a fully worked numeric example, which none of the affordable skipped sources address — their previews concern x402 settlement latency, stablecoins, idempotency, or unrelated topics. No purchase is warranted.
Final check — "What is a concrete example of citation rewards weighted by s…": 100% assessed by S1
Final coverage assessment — S1 provides a concrete, published, first-party engineering example of citation rewards weighted by source contribution: the model proposes contribution weights for accepted sources, Keryx resolves those weights, and allocates the citation pool using integer micro-USDC amounts, with only evidence-ledger-accepted sources entering the allocation. S2 provides only a general abstract-level description of proportional weighted payments and does not supply a concrete example. The requested concrete example is therefore directly supported by S1.
Synthesizing a grounded answer from 2 source(s)…
Relevance review returned; only checked excerpts can retain support, and review cannot raise it.
Below support/reward gate — S1 supports claim 1 at 30%: “The model proposes contribution weights for accepted sources.”
Verified — S1 supports claim 1 at 60%: “Keryx resolves those weights and allocates the citation pool using integer micro-USDC amounts.”
Verified — S2 supports claim 1 at 50%: “A fair model pays each cited source in proportion to its contribution to the final answer.”
Drafted answer citing 2 source(s)
Confidence: Moderate — 2 evidence-verified sources cover every sub-claim, but corroboration or support strength is limited.
Keryx Engineering (first-party) contributed 85% - reward $0.01275
Onchain Micropayments Digest contributed 15% - reward $0.00225
Settled $0.01275 citation reward → 0x6644A7C63C559454e77D5834554DCa3a60fcFDA2 (5ca39f7e-1…)
Settled $0.00135 citation reward → Mara Okoye (a4bd5e19-2…)
Settled $0.0009 citation reward → Devin Park (a4a8c325-6…)
Done. Spent $0.015 across 3 confirmed/simulated payment(s) to creators.
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.
Exact receipt still current
2 exact cited article versions still match Keryx's current index. The one cited source Keryx follows a feed for has published nothing new since this dispatch settled.
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.