Proof before claims · LIGHT HOPE ecosystem先有证据,再谈结论 · LIGHT HOPE 生态

A verified identity foundation for the world's oncology experts. 为全球肿瘤专家建立可核验的身份底座。

AI too easily invents expert identities, blurs institutional affiliations, and fabricates credentials. TruthAnchor anchors every expert to real, external identifiers — ORCID, NPI, PubMed, ClinicalTrials.gov — so downstream knowledge grows on a traceable foundation of truth. AI 在生成癌症相关内容时,极易虚构专家身份、混淆机构归属、编造头衔与领域。TruthAnchor 用真实外部标识符体系——ORCID、NPI、PubMed、ClinicalTrials.gov——锚定每一位专家,使后续一切知识生长都有可追溯的真相边界。

m554 · Oncology Truth Anchor · an infrastructure layer, not a directory you browse — and not medical advice. m554 · 肿瘤真相锚盘 · 一个基础设施层,而非可浏览的名录——且不构成医疗建议。

Anchor people first先锁"人"
Lock identity before any knowledge is written.先确定人,再生长知识。
Every field has a URL字段皆可回溯
No traceable source, no record.无来源 URL,不入库。
AI proposes, rules decideAI 提议·规则定性
AI never certifies an expert on its own.AI 不得独自认定专家。
Cross-source only多源交叉
Core tiers require independent corroboration.核心层必须多源印证。
The problem要解决的问题

Content is easy to generate. Trust is not.内容易生成,信任难建立。

Without an anchor没有锚点时

When an AI writes about cancer experts, identity is the first thing to break:当 AI 生成癌症专家相关内容时,最先崩坏的就是身份:

  • Invented names and fabricated credentials that read as authoritative.凭空捏造的姓名与头衔,读起来却像权威。
  • Real people attached to the wrong institution or specialty.真实的人被挂到错误的机构或专科。
  • Claims with no source URL — impossible to check, easy to trust.没有来源 URL 的论断——无法核实,却容易被采信。
  • A single dubious source treated as ground truth.单一可疑来源被当作事实基准。

With TruthAnchor有锚盘之后

A multi-anchor truth model binds each expert to authoritative identifiers before knowledge is allowed to grow:"多锚点真相模型"在知识生长之前,先把每位专家绑定到权威标识符:

  • Identity resolved against ORCID and NPI, not guessed.身份对齐 ORCID 与 NPI,而非猜测。
  • Evidence collected from PubMed, ClinicalTrials.gov and official pages.证据取自 PubMed、ClinicalTrials.gov 与官方主页。
  • Every record scored, graded L0–L3, and audited.每条记录评分、分级 L0–L3、并留审计日志。
  • Ambiguous cases routed to a human review queue.存疑记录进入人工复核队列。
How it works工作原理

A pipeline that anchors before it asserts.先锚定、再断言的流水线。

Six deterministic stages take a candidate name and either produce a source-backed, graded record — or hold it for human review.六个确定性阶段,把一个候选姓名变成有来源支撑、分级明确的记录——否则留待人工复核。

Candidate generation候选生成

Discover potential experts through OpenAlex and PubMed within a target cancer domain.在目标癌症领域内,经 OpenAlex 与 PubMed 发现潜在专家。

Identity resolution身份锚定

Bind the candidate to ORCID and NPI identifiers with strict validation rules.以严格校验规则,将候选人绑定到 ORCID 与 NPI 标识。

Evidence collection证据收集

Gather corroborating evidence from PubMed, ClinicalTrials.gov and official homepages.从 PubMed、ClinicalTrials.gov 与官方主页收集佐证。

Scoring & grading评分与分级

Compute a credibility score from identifiers, papers, trials and institution — then assign L0–L3.按标识符、论文、试验、机构计算可信分,再赋 L0–L3。

Store & audit入库与审计

Persist the record with a full audit trail — every field references where it came from.带完整审计链入库——每个字段都指向其来源。

Human review人工复核

Send borderline or high-stakes records to a review queue; people make the final call.存疑或高风险记录进入复核队列,最终由人裁定。

Credibility grading可信度分级

Four tiers, from unverified to strongly trusted.四级信任:从未核验到强可信核心。

A record only climbs a tier when it meets that tier's evidence bar. Nothing skips a step.只有满足对应门槛,记录才升一级。绝不跳级。

L0
Unverified未核验
A name only, with no external anchor yet.仅有姓名,尚无外部锚点。
L1
Basic verification基础核验
≥ 2 independent sources, including ≥ 1 official source.≥ 2 个独立来源,且含 ≥ 1 个官方来源。
L2
Professional专业核验
L1 plus explicit evidence of a cancer specialty.在 L1 基础上,有明确癌症领域证据。
L3
Strongly trusted强可信核心
L2 plus a stable institution, sustained activity and a clear clinical role.在 L2 基础上,机构稳定、持续活动、专科角色明确。
Source authority来源权威级别

Not all sources carry the same weight.不是所有来源都同等分量。

Sources are tiered by authority. The rule to enter the core: at least one Tier-A anchor, and at least two Tier-A/B sources together.来源按权威分层。入核心的硬规则:至少 1 个 A 层锚点,且 A/B 层合计 ≥ 2。

TIER A

Primary anchors主锚点

Decide whether a record can enter the core at all.决定记录能否入核心层。

ORCID · NPI · PubMed · ClinicalTrials.gov · NIH RePORTER · ROR · NCI Directory
TIER B

Cross-validation交叉验证

Supplement and disambiguate — never the final judge.补充与去歧义——但不做终判。

OpenAlex · Wikidata · MeSH
TIER C

Discovery only仅作发现

Used to find candidates, never to certify them.只用于发现候选人,绝不用于认定。

Google Scholar · LinkedIn · Wikipedia
Red lines红线原则

The boundaries that keep it honest.让它保持诚实的边界。

01Anchor people first, then grow knowledge.先锁"人",再长"知识"。 Never write content and then hunt for someone to attach it to.不允许先写内容再找人挂靠。
02AI proposes; rules and people decide.AI 提议,规则与人裁定。 Certification always passes through rules plus human review.最终认定必走规则 + 人审。
03No URL, no record.无 URL,不入库。 If a fact can't be traced to a source, it doesn't exist here.无法追溯来源 = 在此不存在。
04A single source never enters the core.单源不进核心。 L2 and above require independent, cross-checked evidence.L2 及以上必须多源交叉。
05Wikidata connects, it doesn't rule.Wikidata 是连接器,不是裁判。 Final judgment returns to official pages, PubMed, NPI and ORCID.终判回到官方机构页、PubMed、NPI、ORCID。
06It's an information anchor, not medical advice.它是信息锚盘,不是医疗建议。 TruthAnchor describes who experts are — it does not diagnose or treat.它描述"专家是谁",不做诊断或治疗。
Who it's for适用对象

Built for teams who can't afford to be wrong about identity.为"身份不容出错"的团队而建。

AI & content platformsAI 与内容平台

Ground generated oncology content in verified expert identities, so citations point to real people.让生成的肿瘤内容落在已核验的专家身份上,引用指向真实的人。

Researchers & curators研究者与策展人

Start from a source-backed roster instead of hand-checking every affiliation and identifier.从有来源支撑的名册出发,无需逐一手工核对机构与标识。

Ecosystem partners生态合作方

Consume anchored expert records downstream through defined, auditable contracts.下游经明确、可审计的合约消费已锚定的专家记录。

Where it stands当前进展

An honest snapshot.一份诚实的现状。

Prototype · Stage S2原型态 · S2 The engine, schema, pipeline and grading rules are built and tested. The expert dataset is being rebuilt, so we don't publish a headline count until it's re-verified. 引擎、数据库结构、流水线与分级规则已构建并测试。专家数据集正在重建,因此在重新核验前我们不对外公布总量数字。
Now现在
High-trust sample library for a first US cancer domain; identity + evidence + grading working end to end.首个美国癌症领域的高可信样板库;身份 + 证据 + 分级端到端跑通。
Next下一步
Expand across several high-value cancer domains and graph experts to institutions, papers and trials.扩展至多个高价值癌症赛道,并将专家图谱化到机构、论文、试验。
Later更远
International coverage and trusted-answer interfaces for downstream applications.国际化覆盖,并为下游应用提供可信问答接口。
For education and information only — not medical advice.仅供教育与信息之用——不构成医疗建议。 TruthAnchor anchors the identity of oncology professionals from public, authoritative sources. It does not diagnose, treat, recommend care, or replace a qualified clinician. Always consult a licensed medical professional for any health decision. TruthAnchor 依据公开、权威来源锚定肿瘤专业人士的身份。它不做诊断、不做治疗、不推荐医疗方案,也不能替代合格的临床医生。任何健康决策请咨询持照医疗专业人员。
Access接入方式

Partner with us early.与我们早期共建。

TruthAnchor is an early-stage ecosystem project. There is no public price list yet — access is by conversation. Tell us your use case and we'll find the right fit.TruthAnchor 是早期生态项目。目前尚无公开价目表——接入以沟通为准。告诉我们你的用例,我们再匹配合适方式。

Explore了解
No cost免费
Understand the model and methodology.理解模型与方法论。
  • This overview and the public methodology本页概览与公开方法论
  • Grading & source-authority framework分级与来源权威框架
  • Open questions welcome欢迎提问
Ask a question提出问题
Early access早期接入
By application · sample dataset申请制 · 样板数据
Work with a source-backed sample library for a target domain.针对目标领域,使用有来源支撑的样板库。
  • Access to a graded sample roster分级样板名册的访问
  • Field-level source traceability字段级来源可追溯
  • Direct line to the team与团队直接对接
Request early access申请早期接入
Ecosystem integration生态集成
Let's talk面谈定制
Consume anchored records downstream via defined contracts.经约定合约,下游消费已锚定记录。
  • Contract-based record delivery基于合约的记录交付
  • Auditable, versioned outputs可审计、带版本的产物
  • Scoped to your domain按你的领域定制
Start a conversation发起对话

Tiers above describe access levels, not published prices. No pricing has been set — figures are never implied. 以上分层描述的是接入层级,并非公开价格。尚未设定任何定价——不暗示任何数字。

Proof before claims.先有证据,再谈结论。

If you're building something that depends on knowing exactly who an oncology expert is, let's make that foundation real together.如果你要建的东西,取决于"这位肿瘤专家究竟是谁",那就让我们一起把这个底座做实。