Let me understand the task. This is a "Mind" note-taking system where I'm filing one Markdown note for the current facet: **Labor market signaling — do degrees lose signaling value?**

The session substance gives a detailed claim about how AI collapses the degree's monopoly on first-job screening via three mechanisms:
1. Skill-verification replaces credential filtering (agentic hiring stacks, work-sample simulators, 30-50% fall in "bachelor's required" listings in AI-exposed occupations by late 2030s)
2. The signal bifurcates instead of vanishing (elite degrees become MORE valuable as scarce sorting/network goods; mid-tier loses marginal value)
3. The degree reprices from entry ticket to exit credential (durable residue in licensure, grad gatekeeping, late-career management; professional/grad enrollment holds; generic BA loses share)

Net system effect: total degree-seeking enrollment falls 15-25% below demographic baseline by 2045; Sun Belt growth is real but selective; generic regional privates die in Texas and Alabama for the same signaling reasons as Ohio. "AI doesn't kill the degree; it kills the undifferentiated degree."

Now I need to check against prior filed notes to determine what's durable and new:

Prior notes already cover signaling extensively:
- Degrees lose signaling value asymmetrically by enforcement mechanism (licensed fields and super-selectives hold; mid-tier unlicensed BA premiums compress 30-50% real by mid-2030s)
- Fastest collapse in generalist white-collar fields where AI enables direct output verification
- Degree as positional luxury marker by 2035
- Two brakes: AI application floods push employers back to crude degree filters; elite alumni networks
- Pre-AI employer drift (HBS "Dismissed by Degrees"; Burning Glass Institute "The Emerging Degree Reset" ~46% of middle-skill postings dropped degree requirements 2021-22)
- Stanford Digital Economy Lab "Canaries in the Coal Mine" (2025) — early-career employment declines in AI-exposed occupations
- Compression from both ends (skills-based hiring below; AI doing routine analytic work above)
- Bimodal BA returns
- Demand migrates to "protected degree + AI skill stack"

What's genuinely NEW in this session's increment?

1. **The agentic hiring stack mechanism**: work-sample simulators, agent-to-agent verification of project portfolios, continuous skill attestations — this is a sharpened mechanism beyond "skills-based hiring." The key insight: "The bachelor's degree historically survived because it was the cheapest proxy for 'can do the work'; when the work itself can be sampled cheaply, the proxy loses information value." That's an information-economics framing that's new.

2. **"Marginal value in the middle"** — the signal bifurcates: elite degrees become MORE valuable as skill-verification makes mid-tier signals redundant. This is partially covered by prior notes (elite hold, mid-tier compress) but the mechanism framing — that verification makes the elite signal MORE valuable, not just less eroded — is a sharpening. Actually prior notes said super-selectives "hold" — the new claim is they gain value BECAUSE of verification. That's an increment.

3. **Entry ticket → exit credential repricing**: the degree's durable residue is as a LAGGING certification for licensure, graduate gatekeeping, late-career management tracks — so professional/graduate enrollment holds while generic BA loses share. This is new — prior notes focused on licensed undergrad fields; this adds the graduate/professional dimension and the temporal framing (entry vs exit).

4. **The strategic implication**: Sun Belt growth is real but selective — concentrated in flagships/polytechnics with employer-integrated credentials; the generic regional private dies in Texas and Alabama for the same signaling reasons as Ohio. "AI doesn't kill the degree; it kills the undifferentiated degree." This cross-regional point is a sharpening — signaling-driven decline is region-independent at the stratum level.

5. **Net effect quantification**: total degree-seeking enrollment falls 15-25% below demographic baseline by 2045 — signaling adds composition shift on top of demographics. Prior notes had ~19M → 14-15M total (Unverified). The 15-25% below demographic baseline is a new framing.

6. **Specific forecast**: "bachelor's required" hiring requirements fall 30-50% in AI-exposed occupations by late 2030s, steepest at mid-market employers. Note tension: prior notes had "mid-tier unlicensed BA premiums compress 30-50% real by mid-2030s" — that's a wage premium compression. This new one is about hiring requirement prevalence falling 30-50%. Different metric, compatible.

7. **The generic BA seats go unfilled even at growing Southern flagships** — they respond by expanding STEM/professional programs rather than total seats. New detail.

Now, how do