Source Authority Score

Measures the structural importance of a source within a citation graph. High centrality indicates that a source is frequently referenced by other authoritative nodes.

• PageRank Variants: Algorithms adapted from web search to measure recursive authority in academic or web citation networks.
• Betweenness Centrality: Quantifies how often a source acts as a bridge between different clusters of knowledge.
• H-Index Integration: Incorporates the author-level metric balancing productivity and citation impact.

Evaluates the source's track record by comparing historical claims against verified ground-truth databases.

• Fact Verification Alignment: The degree to which a source's past assertions are corroborated by trusted corpora.
• Retraction Monitoring: Penalizes sources with a high rate of formal retractions or corrections.
• Temporal Consistency: Checks if the source maintains logical consistency over time or silently revises claims without provenance metadata.

Assesses whether the source possesses deep, specific knowledge in the relevant subject area rather than generalist coverage.

• Entity Salience: Measures the density and specificity of recognized entities related to the topic.
• Term Frequency-Inverse Document Frequency (TF-IDF) Profiles: Compares the source's linguistic profile against a gold-standard corpus of expert documents.
• Authoritative Linking: Evaluates if the source's outbound links point to other recognized domain experts.

Scores the robustness of the source's identity and data lineage. Verifiable ownership increases trust.

• Content Attestation: Presence of cryptographically signed metadata vouching for the author and creation date.
• Attribution Schema Markup: Use of structured data (e.g., Schema.org citation and author properties) to make provenance machine-readable.
• Digital Object Identifier (DOI) Usage: Persistent, resolvable identifiers signal a commitment to long-term reference resolution and prevent attribution decay.

Balances the stability of canonical content with the need for up-to-date information.

• Content Fingerprint Stability: A stable cryptographic hash over time indicates the source hasn't been silently tampered with.
• Update Cadence: Regular, documented updates signal active maintenance without chaotic revisionism.
• Attribution Decay Rate: A low rate of broken links or reference rot indicates a commitment to maintaining a verifiable citation graph.

Analyzes behavioral signals from users and systems that interact with the source, serving as a proxy for utility.

• Click-Through Rate (CTR) in AI Overviews: A high selection rate when presented as a citation by answer engines.
• Dwell Time on Source: Time users spend engaging with the original content after following a citation.
• Reference Anchoring Frequency: How often specific text spans from the source are used for granular grounding by language models.

A probability estimate generated by a model indicating the likelihood that a specific source passage fully and accurately supports the claim it is intended to ground. While Source Authority Score evaluates the trustworthiness of the source itself, Citation Confidence Score evaluates the relevance and support strength of a specific passage. A high-authority source can still have a low confidence score if the cited passage is taken out of context or doesn't actually support the claim.

The automated task of assessing the veracity of a textual claim by comparing it against a corpus of trusted, previously vetted information sources. Source Authority Score is a critical input to fact verification pipelines, serving as a weighting mechanism that prioritizes evidence from high-credibility sources. Key components include:

• Claim detection and extraction from unstructured text
• Evidence retrieval from authoritative knowledge bases
• Stance detection to determine if evidence supports or refutes the claim
• Verdict prediction aggregating weighted evidence into a truthfulness judgment

A network model where nodes represent academic papers, patents, or other citable works, and directed edges represent citation relationships between them. Source Authority Scores are often computed using graph algorithms like PageRank variants applied to citation graphs. Key metrics derived from citation graphs:

• Citation count: Raw number of inbound citations
• Weighted citation count: Citations weighted by citing source authority
• Graph centrality: Position and influence within the broader knowledge network
• Citation velocity: Rate at which a source accumulates new citations over time

Structured information documenting the origin, history, and chain of custody of a digital asset, including its creation, modifications, and the entities that have interacted with it. Source Authority Score relies on provenance metadata to verify:

• Creator identity and institutional affiliation
• Publication timeline and version history
• Peer review status and editorial oversight
• Correction and retraction records

Without verifiable provenance, authority scores become unreliable estimates based on surface-level signals.

The principle that a citation must accurately represent the source material it references, providing a faithful and verifiable connection between a claim and its supporting evidence. Source Authority Score degrades when sources are systematically misrepresented. Integrity violations include:

• Citation fabrication: Referencing non-existent sources
• Citation distortion: Mischaracterizing source conclusions
• Empty citation: Citing without substantive engagement with the source
• Citation cascades: Propagating errors through chains of unverified references

The phenomenon where a citation link becomes non-functional or the source content itself changes or disappears over time, undermining the verifiability of the citing work. Source Authority Scores must account for temporal factors:

• Link rot: URLs returning 404 errors or redirecting to unrelated content
• Content drift: Source pages being updated without version preservation
• Digital obsolescence: Formats becoming unreadable by current systems
• Institutional turnover: Domain ownership changes breaking established authority signals