---
id: "hardman-bytewise-and-externalized-saids"
type: "paper"
type_label: "Papers and paper collections"
title: "Bytewise and Externalized SAIDs"
maintainer: "Daniel Hardman"
authors:
  - "Daniel Hardman"
date: "2024-08-01"
year: 2024
reading_level: "implementer"
reading_level_label: "Implementer"
reading_level_meaning: "developers working in or against the code"
evidence: "informative"
evidence_meaning: "an author's paper, deck, tutorial or post explaining the suite"
status: "quiet"
status_meaning: "no change in six to eighteen months; still correct"
access: "public"
access_meaning: "anyone with the link"
topics:
  - "cryptography"
  - "theory"
  - "implementations"
roles:
  - "developer"
  - "security-architect"
  - "infrastructure-operator"
  - "researcher"
source_url: "https://dhh1128.github.io/papers/bes.html"
source_license: null
source_license_note: null
found_on: "hardman-papers"
kerisse_credit: false
abstract_license: "CC BY 4.0"
abstract_license_url: "https://creativecommons.org/licenses/by/4.0/"
abstract_attribution: "KSKB, the KERISuite Knowledge Base (https://kskb.dev/)"
last_checked: "2026-10-15"
kskb_url: "https://kskb.dev/cards/hardman-bytewise-and-externalized-saids/"
kskb_app_url: "https://kskb.dev/#item/hardman-bytewise-and-externalized-saids"
kskb_record_url: "https://kskb.dev/data/kskb/resources/hardman-bytewise-and-externalized-saids"
kskb_markdown_url: "https://kskb.dev/export/cards/hardman-bytewise-and-externalized-saids.md"
---

# Bytewise and Externalized SAIDs

A 2024 paper by Daniel Hardman defining two algorithms that extend CESR self-addressing identifiers (SAIDs) to arbitrary files treated as byte streams: one embeds the SAID at a delimited insertion point in the file, the other places it in a file name constrained by an instruction inside the file. It gives ABNF and regex syntax, a threat model, and a pointer to a Python reference implementation, and is for implementers bringing documents and media into authenticated data graphs.

Labels: reading level Implementer; evidence informative (an author's paper, deck, tutorial or post explaining the suite).
Source: https://dhh1128.github.io/papers/bes.html (license not recorded).
The abstract is KSKB's own text under Creative Commons Attribution 4.0 (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/; credit KSKB, the KERISuite Knowledge Base (https://kskb.dev/).