leo: add @thesensatore sourcer attribution to all 5 tracenet claims

- What: Added attribution block crediting @thesensatore (Telegram) as sourcer
- Why: They surfaced the subconscious.md/tracenet.md protocol specs that produced these claims

Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
This commit is contained in:
m3taversal 2026-03-27 19:55:02 +00:00 committed by Teleo Agents
parent 0c07546eb9
commit 0191bcd0ac
5 changed files with 50 additions and 0 deletions

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@ -9,6 +9,16 @@ related:
- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models - reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models
reweave_edges: reweave_edges:
- reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03 - reasoning models may have emergent alignment properties distinct from rlhf fine tuning as o3 avoided sycophancy while matching or exceeding safety focused models|related|2026-04-03
attribution:
sourcer:
- handle: "@thesensatore"
context: "surfaced subconscious.md/tracenet.md protocol specs via Telegram"
extractor:
- handle: "leo"
agent_id: "D35C9237-A739-432E-A3DB-20D52D1577A9"
challenger: []
synthesizer: []
reviewer: []
--- ---
# Surveillance of AI reasoning traces degrades trace quality through self-censorship making consent-gated sharing an alignment requirement not just a privacy preference # Surveillance of AI reasoning traces degrades trace quality through self-censorship making consent-gated sharing an alignment requirement not just a privacy preference

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@ -5,6 +5,16 @@ description: "Claims capture WHAT is believed and WHY (conclusion + evidence); t
confidence: experimental confidence: experimental
source: "subconscious.md protocol spec (Chaga/Guido, 2026); process tracing methodology in political science (George & Bennett 2005); chain-of-thought research in AI (Wei et al. 2022)" source: "subconscious.md protocol spec (Chaga/Guido, 2026); process tracing methodology in political science (George & Bennett 2005); chain-of-thought research in AI (Wei et al. 2022)"
created: 2026-03-27 created: 2026-03-27
attribution:
sourcer:
- handle: "@thesensatore"
context: "surfaced subconscious.md/tracenet.md protocol specs via Telegram"
extractor:
- handle: "leo"
agent_id: "D35C9237-A739-432E-A3DB-20D52D1577A9"
challenger: []
synthesizer: []
reviewer: []
--- ---
# Crystallized reasoning traces are a distinct knowledge primitive from evaluated claims because they preserve process not just conclusions # Crystallized reasoning traces are a distinct knowledge primitive from evaluated claims because they preserve process not just conclusions

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@ -5,6 +5,16 @@ description: "Direct agent-to-agent messaging creates O(n^2) coordination overhe
confidence: experimental confidence: experimental
source: "subconscious.md protocol spec (Chaga/Guido, 2026); Theraulaz & Bonabeau, 'A Brief History of Stigmergy' (1999); Heylighen, 'Stigmergy as a Universal Coordination Mechanism' (2016)" source: "subconscious.md protocol spec (Chaga/Guido, 2026); Theraulaz & Bonabeau, 'A Brief History of Stigmergy' (1999); Heylighen, 'Stigmergy as a Universal Coordination Mechanism' (2016)"
created: 2026-03-27 created: 2026-03-27
attribution:
sourcer:
- handle: "@thesensatore"
context: "surfaced subconscious.md/tracenet.md protocol specs via Telegram"
extractor:
- handle: "leo"
agent_id: "D35C9237-A739-432E-A3DB-20D52D1577A9"
challenger: []
synthesizer: []
reviewer: []
--- ---
# Stigmergic coordination scales better than direct messaging for large agent collectives because indirect signaling reduces coordination overhead from quadratic to linear # Stigmergic coordination scales better than direct messaging for large agent collectives because indirect signaling reduces coordination overhead from quadratic to linear

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@ -5,6 +5,16 @@ description: "Protocols that raise capital before governance is proven attract p
confidence: likely confidence: likely
source: "subconscious.md protocol spec (Chaga/Guido, 2026); empirical pattern from DeFi governance failures (Uniswap, Compound governance capture 2021-2024); Vitalik Buterin 'Moving beyond coin voting governance' (2021)" source: "subconscious.md protocol spec (Chaga/Guido, 2026); empirical pattern from DeFi governance failures (Uniswap, Compound governance capture 2021-2024); Vitalik Buterin 'Moving beyond coin voting governance' (2021)"
created: 2026-03-27 created: 2026-03-27
attribution:
sourcer:
- handle: "@thesensatore"
context: "surfaced subconscious.md/tracenet.md protocol specs via Telegram"
extractor:
- handle: "leo"
agent_id: "D35C9237-A739-432E-A3DB-20D52D1577A9"
challenger: []
synthesizer: []
reviewer: []
depends_on: depends_on:
- "complexity is earned not designed and sophisticated collective behavior must evolve from simple underlying principles" - "complexity is earned not designed and sophisticated collective behavior must evolve from simple underlying principles"
--- ---

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@ -5,6 +5,16 @@ description: "Caching verified reasoning artifacts and retrieving them before re
confidence: experimental confidence: experimental
source: "subconscious.md protocol spec (Chaga/Guido, 2026); tracenet.md protocol design; analogous to content-addressable storage efficiency gains in IPFS and Nix" source: "subconscious.md protocol spec (Chaga/Guido, 2026); tracenet.md protocol design; analogous to content-addressable storage efficiency gains in IPFS and Nix"
created: 2026-03-27 created: 2026-03-27
attribution:
sourcer:
- handle: "@thesensatore"
context: "surfaced subconscious.md/tracenet.md protocol specs via Telegram"
extractor:
- handle: "leo"
agent_id: "D35C9237-A739-432E-A3DB-20D52D1577A9"
challenger: []
synthesizer: []
reviewer: []
--- ---
# Retrieve-before-recompute is more efficient than independent agent reasoning when trace quality is verified # Retrieve-before-recompute is more efficient than independent agent reasoning when trace quality is verified