







DID Method Rubric v1.0
The communities behind Decentralized Identifiers (DIDs) bring together a diverse group of contributors who have decidedly different notions of exactly what "decentralization" means.
did-method-plc/website/spec/v0.1/did-plc.md at main · did-method-plc/did-method-plc
Public Ledger of Credentials: a cryptographic, strongly-consistent, and recoverable DID method - did-method-plc/did-method-plc
did-method-plc/website/spec/v0.1/did-plc.md at main · did-method-plc/did-method-plc
Public Ledger of Credentials: a cryptographic, strongly-consistent, and recoverable DID method - did-method-plc/did-method-plc
Solving AT Protocol's Centralized Identity - blog.boscolo.co
I spent the weekend building a proof of concept for a truly decentralized DID method using Farcaster's battle-tested identity system. Here's why AT Protocol needs this third DID option.
did:dns Method Specification
Many early DID methods were based on distributed ledgers or other decentralized infrastructure, and some of those still remain popular. However, the DID community has also seen a lot of innovation and has come up with new types of DID methods. One of them is did:web, which is based on traditional DNS and web server infrastructure. The DID method presented here is did:dns, which follows a similar idea but offers several improvements over did:web.
did-method-plc/did-method-plc
Public Ledger of Credentials: a cryptographic, strongly-consistent, and recoverable DID method
Decentralized Identifiers (DIDs) v1.0
Decentralized identifiers (DIDs) are a new type of identifier that enables verifiable, decentralized digital identity. A DID refers to any subject (e.g., a person, organization, thing, data model, abstract entity, etc.) as determined by the controller of the DID. In contrast to typical, federated identifiers, DIDs have been designed so that they may be decoupled from centralized registries, identity providers, and certificate authorities. Specifically, while other parties might be used to help enable the discovery of information related to a DID, the design enables the controller of a DID to prove control over it without requiring permission from any other party. DIDs are URIs that associate a DID subject with a DID document allowing trustable interactions associated with that subject.
Creating a did-method-web Identity for ATProtocol
Creating a did-method-web Identity for ATProtocol posted by @smokesignal.events on 2025-08-18 14:00 UTC
Implementation Divergences · Issue #12 · DavidBuchanan314/millipds
The concrete behaviour of this implementation may diverge from that of the reference impl (that lives in https://github.com/bluesky-social/atproto), sometimes on purpose, sometimes accidentally, so...
A result does not tell you how it was made - Sensemaker
A correct formula can have an unverified origin, and a successful AI answer can hide a forbidden route. Those claims need different evidence.
did:plc Specification v0.1
DID PLC is a self-authenticating DID which is strongly-consistent, recoverable, and allows for key rotation.
Reproducible research: methodological principles for transparent…
This Mooc proposes methodological principles for open and transparent science. It deals in a practical way with note-taking, computational documentation, replicability of analyses.
Inference characteristics of Llama · Cursor
A primer on inference math and an examination of the surprising costs of Llama.
Chomba Bupe on Twitter / X
It appears OpenAI Astra's mathematical feat was more of surface level stitching of components."The LLM-generated proof hinges on a particular mathematical argument that it presented as its own but that actually first appeared in a 2016 paper by Miller and a collaborator." pic.twitter.com/labUnQMRab— Chomba Bupe (@ChombaBupe) August 7, 2026
Mathematics with large language models as provers and verifiers
During 2024 and 2025 the discussion about the theorem-proving capabilities of large language models started reporting interesting success stories, mostly to do with difficult exercises (such as problems from the International Mathematical Olympiad), but also with conjectures [Feldman & Karbasi, arXiv:2509.18383v1] formulated for the purpose of verifying whether the artificial intelligence could prove it. In this paper we report a theorem proving feat achieved by ChatGPT by using a protocol involving different prover and verifier instances of the gpt-5 model working collaboratively. To make sure that the produced proofs do not suffer from hallucinations, the final proof is formally verified by the lean proof assistant, and the conformance of premises and conclusion of the lean code is verified by a human. Our methodology is by no means complete or exact. It was nonetheless able to solve five out of six 2025 IMO problems, and close about a third of the sixty-six number theory conjectures in [Cohen, Journal of Integer Sequences, 2025].

proof of concept DID method