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Academic Evidence Pack — Citation Report (Large, up to 75 references)
x402
Academic Evidence Pack — Citation Report (Large, up to 75 references) is a paid API for AI agents from aep-api.fly.dev, paid per call via x402, $3/call, status unknown (last checked 2026-09-13).
Verifies up to 75 bibliography references for existence, DOI resolution, retraction/correction status, title/author/year match, and fabrication risk, returning a cryptographically signed (Ed25519, RFC 8785) JSON report with full provenance.
Price / call$3
Success—
StatusUnknown
How this service works
Verify a bibliography. For every reference: exists, resolves, retracted/corrected/flagged, title/author/year match against the registered record, and a rule-derived fabrication risk — as a signed (Ed25519, RFC 8785 canonical JSON), byte-reproducible JSON report. Input: structured references or BibTeX. No LLM; every claim carries its source and retrieval time. Tier: large, up to 75 references. NOTE: $3.00 exceeds @x402/core's default $1.00 maxAmountPerPayment; raise it (setSpendControls).
Output
A cryptographically signed (Ed25519, RFC 8785 canonical JSON), byte-reproducible JSON report containing: per-reference verdicts (verified, not_found, unresolvable, verified_with_discrepancies), fabrication risk labels (low/medium/high/n_a), integrity flags for retractions/corrections/expressions of concern, title similarity scores, author match results, resolved metadata (DOI, title, venue, authors, OpenAlex ID, source URLs), full provenance with source and retrieval timestamp per claim, summary statistics, and a JWS signature with payload hash for audit purposes.
Example use cases
Pre-submission bibliography audit
“I'm about to submit this paper to a journal. Can you run the full citation integrity check on my BibTeX bibliography and tell me if any references are retracted, missing, or don't match what's actually registered with CrossRef or OpenAlex?”
Detecting hallucinated AI-generated citations
“I used an AI assistant to help write this literature review and I'm worried it may have invented some references. Can you verify all 60 citations in this BibTeX file and give me a fabrication risk rating for each one, plus flag any that don't resolve?”
Grant proposal reference validation
“Before I submit this grant proposal, I need to confirm every one of my 50 references actually exists, resolves to the right paper, and hasn't been retracted — can you run the large citation report on my BibTeX and check author matches too?”
Technical details
Endpoint
POSThttps://aep-api.fly.dev/v1/citation-report/largeWhen to prefer
Use the large tier (up to 75 references) when verifying a full paper, book chapter, or grant proposal bibliography. Prefer this over LLM-based citation checkers when you need cryptographically signed, byte-reproducible, source-attributed results that can serve as an audit trail. Choose this endpoint over the standard tier when your reference count exceeds the standard tier's limit. Especially valuable for journal submissions, grant applications, or any context where citation integrity must be provably verifiable and not rely on model inference.
Side effects
- Reference not found in CrossRef or OpenAlex — verdict: not_found
- DOI exists but URL does not resolve — verdict: unresolvable
- Title or author mismatch detected against registered record — verdict: verified_with_discrepancies
- BibTeX parsing failure due to malformed syntax — 400 error
- Exceeds 75-reference tier limit — rejection or tier mismatch error
- Payment insufficient: $3.00 USDC required but client maxAmountPerPayment defaults to $1.00 — payment rejected
- Upstream CrossRef or OpenAlex timeout — latency spike or partial results
- Invalid DOI syntax — doi_syntax check fails
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bibtex | string | A BibTeX bibliography; parsed server-side (entry key → reference id). Bounded at 262144 UTF-8 bytes (the parser's unit); maxLength counts characters and is exact for ASCII. |
| options | object | |
| references | array |
Output
Schema · Response
{
"type": "json",
"example": {
"stats": {
"cache": "miss",
"latency_ms": 1800,
"upstream_calls": {
"crossref": 2,
"openalex": 2,
"unpaywall": 0
}
},
"report": {
"tier": "standard",
"issuer": {
"kid": "…",
"name": "Academic Evidence Pack — Citation Integrity Report"
},
"version": "1",
"issued_at": "2026-09-02T12:00:00.000Z",
"price_usd": "1.00",
"input_hash": "sha256:…",
"reference_count": 2,
"ruleset_version": "2026-09-02.5"
},
"summary": {
"verified": 1,
"not_found": 1,
"unresolvable": 0,
"fabrication_risk": {
"low": 1,
"n_a": 0,
"high": 1,
"medium": 0
},
"integrity_flagged": 1,
"verified_with_discrepancies": 0
},
"warnings": [
"fabrication_risk is a rule-derived label (see report.ruleset_version), not a probability. …"
],
"signature": {
"alg": "EdDSA",
"jws": "eyJ…..…",
"kid": "…",
"payload_hash": "sha256:…",
"canonicalization": "RFC 8785 JCS"
},
"references": [
{
"id": "wolfe2011",
"input": {
"id": "wolfe2011",
"doi": "10.1126/science.1197258",
"year": 2011,
"title": "…",
"authors": [
"Felisa Wolfe-Simon"
]
},
"checks": {
"match": {
"method": "doi",
"year_delta": 0,
"title_similarity": 1000,
"venue_similarity": null,
"all_authors_match": null,
"author_list_prefix": true,
"first_author_match": true,
"candidates_considered": 0
},
"exists": "true",
"resolves": {
"result": "true",
"definition": "registered at Crossref or indexed by OpenAlex"
},
"integrity": {
"note": "Post-publication update record(s) found. Review before citing.",
"status": "known",
"updates": [
{
"doi": "10.1126/science.adu5488",
"date": "2025-07-24T00:00:00Z",
"type": "retraction",
"source": "crossref"
}
],
"sources_checked": [
"openalex",
"crossref"
]
},
"doi_syntax": "true"
},
"reasons": [],
"verdict": "verified",
"resolved": {
"doi": "10.1126/science.1197258",
"type": "article",
"year": 2011,
"title": "…",
"venue": "Science",
"authors": [
{
"name": "Felisa Wolfe-Simon",
"orcid": null
}
],
"openalex": "W2135819747",
"source_urls": [
"https://doi.org/10.1126/science.1197258",
"https://openalex.org/W2135819747"
]
},
"provenance": {
"title": {
"source": "openalex",
"retrieved_at": "…"
},
"integrity": {
"source": "crossref",
"retrieved_at": "…"
}
},
"fabrication_risk": "low",
"integrity_flagged": true
},
{
"id": "lee2022",
"input": {
"id": "lee2022",
"year": 2022,
"title": "…",
"venue": "CVPR",
"authors": [
"Min-Jun Lee",
"Soo-Young Kim"
]
},
"checks": {
"match": {
"method": null,
"year_delta": null,
"title_similarity": null,
"venue_similarity": null,
"all_authors_match": null,
"author_list_prefix": null,
"first_author_match": null,
"candidates_considered": 3
},
"exists": "n_a",
"resolves": {
"result": "n_a",
"definition": "registered at Crossref or indexed by OpenAlex"
},
"integrity": {
"note": "No registered record to check.",
"status": "n_a",
"updates": [],
"sources_checked": []
},
"doi_syntax": "n_a"
},
"reasons": [
"no_matching_record"
],
"verdict": "not_found",
"resolved": null,
"provenance": {},
"fabrication_risk": "high",
"integrity_flagged": false
}
],
"partial_failures": []
}
}Tags
x402
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