ECAI Research and Earlier Drafts

The engineering direction is to make knowledge representation and computation inspectable. A proposed curve mapping or algebraic relation needs explicit semantics, a task and a comparison with simpler methods before it supports a claim about retrieval or reasoning quality.

The implementation overview and capability matrix describe the documented platform. The materials below are research or historical artifacts, not current security, performance or product-availability guarantees.

• ECAI whitepaper
• Earlier mathematical-proof paper
• Earlier ECAI/LLM comparison
• EKEF v0.3 representation draft
• Finite-field group-law explainer

These PDFs retain their original text. Claims there about universal truth, reversible hashing, quantum resistance, benchmark superiority or automatic settlement must not override the current implementation and proof-boundary references. A paper title or mathematical example is not a deployment result.

These links are a bibliography, not an endorsement of an ECAI implementation or evidence that the cited work establishes its broader claims.

Injective encoding with curves: https://eprint.iacr.org/2013/373.pdf Merkle trees with curves : https://eprint.iacr.org/2022/756.pdf Use of Elliptic Curves in Term Discrimination: https://link.springer.com/chapter/10.1007/978-3-642-21587-2_37 Probabilistic Record Linkage with Elliptic Curve Operations : https://www.proquest.com/openview/df4d5d51e49f2e9379631a44aef648ee/1?pq-origsite=gscholar&cbl=18750&diss=y

https://martin.kleppmann.com/papers/curve25519.pdf

Erlang implementation https://www.nccgroup.com/media/3qzbte3h/_a_tour_of_curve25519_in_erlang-1.pdf

Read what encoding checks establish before using these ideas in a protocol.