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lm-004289 · 2026-10

SDRPC-PRIME-001 Validation Phase I — Round 16

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SDRPC-PRIME-001 Validation Phase I — Round 16

Novelty-Constrained Probe Synthesis

日期: 2026-09-23
Domain: C210 branch, 11 ≤ n ≤ 500,000

作者: Neo.K
機構: EveMissLab/一言諾科技有限公司
版本: 原稿未標註(本次整理版)


1. 本輪真正改的是 Synthesis Objective

以前只問:哪個 probe 最能切 unresolved fiber?

Round 16 改成:

先問它是不是新的 information source,
再問它能不能切 fiber,
最後才比較 burden。

因此 synthesis loop 變成:

generate candidate
-> novelty / dominance gate
-> source classification
-> fiber-gain measurement
-> burden-adjusted selection
-> insert

2. Source Hierarchy

Q0 = fixed quotient / wheel information
Q1 = scale-dependent valuation / growing-modulus quotient information
A1 = self-modular algebraic relations
A2 = strong probable-prime algorithmic relations

C210 baseline 已經擁有 Q0 source,因此新的 Q0 readout 不算 novelty。

3. Novelty Gate 淘汰的 Probe

  • Q210:Same fixed-quotient source already represented by C210 baseline.(standalone mass=100.00000%,但仍不算新 source)
  • GCD_NM1_210:Deterministic function of n mod 210.(standalone mass=100.00000%,但仍不算新 source)
  • GCD_NP1_210:Deterministic function of n mod 210.(standalone mass=100.00000%,但仍不算新 source)
  • CRT_8_3_5_7:CRT-equivalent to a fixed quotient mod 840.(standalone mass=100.00000%,但仍不算新 source)

一個 probe 即使能改善分類,只要只是既有 source 的重新編碼,就不能算 source novelty。

4. Novelty-Constrained Synthesis Trace

Step Probe Source Before mass After mass Gain Score
1 FERMAT2 A1 100.00000% 36.43753% 63.56247% 0.184239
2 V2_NP1 Q1 36.43753% 34.48279% 1.95475% 0.013962
3 FERMAT5 A1 34.48279% 18.15533% 16.32746% 0.047326
4 V3_NP1 Q1 18.15533% 17.16571% 0.98962% 0.006597
5 V2_NM1 Q1 17.16571% 9.41235% 7.75336% 0.055381
6 SPRP3 A2 9.41235% 2.25137% 7.16098% 0.013261

最終 selected probes:

FERMAT2 → V2_NP1 → FERMAT5 → V3_NP1 → V2_NM1 → SPRP3

Final contradictory mass = 2.25137%
Finite-domain sufficient = False

5. 這次『新』到底是什麼意思

這裡的 novelty 不是『數學史上沒人用過』,而是:

not derivable from the currently admitted information-source class

Euler / SPRP 都是成熟數論 machinery;但相對 fixed quotient Q0,它們確實帶進不同的 self-modular information source。

所以:

source novelty != theorem novelty

6. Valuation 的尷尬位置

v_p(n±1) 不被 Q210 支配,所以相對固定 quotient 新增資訊;但 bounded horizon 上可由足夠細的 mod p^k quotient 重建。

因此本輪把它放在:

Q1 = scale-dependent quotient information

而不是新的 operator ontology。

7. Source-Tier Ablation

  • Q1_only → V2_NP1 → V3_NM1 → V3_NP1 → V2_NM1, final contradictory mass = 99.90375%, sufficient = False
  • through_A1 → FERMAT2 → V2_NP1 → FERMAT5 → V3_NP1 → V2_NM1 → V3_NM1, final contradictory mass = 7.81986%, sufficient = False
  • through_A2 → FERMAT2 → V2_NP1 → FERMAT5 → V3_NP1 → V2_NM1 → SPRP3, final contradictory mass = 2.25137%, sufficient = False

這回答:若禁止更高 source tier,目前 information source 到底能把 residual ambiguity 壓到哪裡。

8. Source Residual

現在可定義:

R_source(Q | G_k)

表示只允許 information-source grammar G_k 時仍存在的 contradictory mass / unresolved fibers。

只要 R_source > 0,問題就不只是『還沒找到漂亮 feature』,而是目前 source grammar 仍不足。

9. Probe 定義進一步接回算子本體論

Probe
 = Operator Source
 + Observation Map
 + State
 + Provenance

輸出形式不同,不代表 information source 不同。

10. Probe Invention 的新 Gate

未來 runtime 不應獎勵 feature 數量,而應獎勵:

new source information
per unit burden
that removes unresolved fibers.

這才是 Novelty-Constrained Probe Synthesis。

11. Round 16 的限制

  • Q0/Q1/A1/A2 還是研究用 source taxonomy;
  • candidate families 都是既有數論 machinery;
  • finite-domain sufficiency 不是 global theorem;
  • 這輪成果是 source audit + synthesis framework,而非新 primality theorem。

12. 下一輪

Round 17:

Source-Residual Lower-Bound Search

固定整個 source class,例如只允許 fixed quotients,嘗試建立 class-level contradictory witnesses,進一步問:

哪一整類資訊來源,原理上就不夠?

13. Round 16 結論

probe novelty must be source-relative;
representation novelty is not information novelty;
fixed-quotient readouts can be rejected before optimization;
valuation adds scale-dependent information without necessarily adding new ontology;
self-modular probes introduce a different source relative to Q0;
synthesis should optimize source gain per burden, not feature count.

Round 16: COMPLETE
Next: Round 17 — Source-Residual Lower-Bound Search