Hi, and thanks for releasing this suite — I've been using idea-spark on a real direction for the past few days and it caught several bad ideas of mine cheaply, which is exactly what I hoped for.
I ran into one failure mode I couldn't find an existing gate for, and I wanted to report it in case it's useful. It's possible I'm misusing the skill, so please correct me if so.
What happened
Direction: credit assignment in agentic RL post-training under an outcome-only verifiable reward.
Across two run dirs I went through four candidate framings (two abandon, two reaching Phase 4). The final candidate rendered all three idea cards and passed the full validator suite:
Its core claim was, in substance: "a family of step-credit maps (IAPO, GiGPO, VICT, SPA-RL, CVT-RL) shares mass conservation + sign preservation, and that safeguard costs them something measurable."
Afterwards I extracted the verbatim advantage equations from the five papers' method sections in phase0/fulltext_cache.json (one sub-agent call, ~1 hour, no GPU). The premise did not survive:
- SPA-RL —
r_t^fused = α·c_t + β·g_t (Eq. 8), where g_t is an environment executability signal, and advantages come from GAE with a learned critic V_φ. It injects signal the terminal verifier never produced, so it is not a redistribution of the episode advantage at all.
- CVT-RL — learned value function, a learned outcome model, and extra frozen-policy rollouts. Same conclusion.
- GiGPO — states no conservation proposition and no sign property anywhere in intro+method. I also found counter-verdict emissions inside its own declared ranges (
ω ∈ ℝ_{≥0}, γ ∈ (0,1]): e.g. R=[0,0,1,1], T=[2,3,4,5], γ=0.95, ω=2.0 gives A^E = +1.000 but A = −1.000.
- IAPO — genuinely locked, and algebraically so:
w_i > 0 follows from Eq. (4)'s exp(...)/positive-normalizer, for all real β⁺, c, not just the published defaults.
So the "family" the candidate was built on has one member. The idea was not wrong in its internal logic — the gates that check that all passed — it was wrong about what the cited papers do.
Why I think the existing gates don't cover this
I went looking for the mechanism before writing this, and there is one: bottleneck_identify.txt §8b, the anchor_rule_pinning ledger, with the nice rule that a rule may only be listed as pinned if you can quote the sentence that fixes it. In my first run it fired correctly and reported sufficient_for_faithful_generator: false.
But as far as I can tell it doesn't reach this case, for three reasons:
- It is anchor-scoped. The object is
anchor_rule_pinning and exactly one closest_adjacent entry is the anchor. A family-level claim ranges over N methods. In my second run the anchor was the audit paper, not any of the methods the claim was actually about.
- It pins free parameters, not class membership. The enumerated coverage is the selection predicate, population sizes, update rule, iteration count, tie-breaking — knob values. What broke me was predicate-shaped: does M conserve, and to what, does M use a learned critic, does M consume signal outside the terminal verifier.
unpinned is even defined as "free parameter".
- The deep-read pool isn't guaranteed to cover the set. The pool is chosen by a relevance heuristic before Phase 1 knows which papers matter. My run only had all five methods deep-read because I ran
phase1_fulltext_topup by hand.
Downstream, paper_pointed_threat asks whether prior work subsumes my idea, which is the opposite direction from whether my characterization of prior work is accurate; the 2.3 gate checks the candidate's own procedure by execution; 4.1.5 checks implementability. None of them reads the cited papers' method sections back.
Suggestion
When the candidate's core claim is universally quantified over a set of prior methods, it would help to require a per-method grounding ledger — the same "quote the sentence or mark it unpinned" discipline as §8b, but (a) over every method the claim ranges over rather than the anchor alone, (b) covering class-membership predicates rather than only free parameters, and (c) with the fulltext pool forced to cover that set. A NOT_IN_FULLTEXT outcome is genuinely useful here: in my case VICT's row is honestly unfillable, because δ̂'s sign convention lives in Appendix D and λ, c are unstated in the body.
I'm happy to share the run directory, the validator output, and the extracted-formula JSON if any of that is useful.
Separately
During Phase 0 the Semantic Scholar connector returned 0 records for every query (rate limiting), but lit_grounding_mode still reported real and no degraded marker was written, so the 6–24-month published channel was silently missing from the corpus that the first two framings were built on. That looks like a distinct issue from the above — happy to file it separately if you'd like.
Thanks again for the work.
Hi, and thanks for releasing this suite — I've been using
idea-sparkon a real direction for the past few days and it caught several bad ideas of mine cheaply, which is exactly what I hoped for.I ran into one failure mode I couldn't find an existing gate for, and I wanted to report it in case it's useful. It's possible I'm misusing the skill, so please correct me if so.
What happened
Direction: credit assignment in agentic RL post-training under an outcome-only verifiable reward.
Across two run dirs I went through four candidate framings (two
abandon, two reaching Phase 4). The final candidate rendered all three idea cards and passed the full validator suite:Its core claim was, in substance: "a family of step-credit maps (IAPO, GiGPO, VICT, SPA-RL, CVT-RL) shares mass conservation + sign preservation, and that safeguard costs them something measurable."
Afterwards I extracted the verbatim advantage equations from the five papers'
methodsections inphase0/fulltext_cache.json(one sub-agent call, ~1 hour, no GPU). The premise did not survive:r_t^fused = α·c_t + β·g_t(Eq. 8), whereg_tis an environment executability signal, and advantages come from GAE with a learned criticV_φ. It injects signal the terminal verifier never produced, so it is not a redistribution of the episode advantage at all.ω ∈ ℝ_{≥0},γ ∈ (0,1]): e.g.R=[0,0,1,1], T=[2,3,4,5], γ=0.95, ω=2.0givesA^E = +1.000butA = −1.000.w_i > 0follows from Eq. (4)'sexp(...)/positive-normalizer, for all realβ⁺, c, not just the published defaults.So the "family" the candidate was built on has one member. The idea was not wrong in its internal logic — the gates that check that all passed — it was wrong about what the cited papers do.
Why I think the existing gates don't cover this
I went looking for the mechanism before writing this, and there is one:
bottleneck_identify.txt§8b, theanchor_rule_pinningledger, with the nice rule that a rule may only be listed aspinnedif you can quote the sentence that fixes it. In my first run it fired correctly and reportedsufficient_for_faithful_generator: false.But as far as I can tell it doesn't reach this case, for three reasons:
anchor_rule_pinningand exactly oneclosest_adjacententry is the anchor. A family-level claim ranges over N methods. In my second run the anchor was the audit paper, not any of the methods the claim was actually about.unpinnedis even defined as "free parameter".phase1_fulltext_topupby hand.Downstream,
paper_pointed_threatasks whether prior work subsumes my idea, which is the opposite direction from whether my characterization of prior work is accurate; the 2.3 gate checks the candidate's own procedure by execution; 4.1.5 checks implementability. None of them reads the cited papers' method sections back.Suggestion
When the candidate's core claim is universally quantified over a set of prior methods, it would help to require a per-method grounding ledger — the same "quote the sentence or mark it unpinned" discipline as §8b, but (a) over every method the claim ranges over rather than the anchor alone, (b) covering class-membership predicates rather than only free parameters, and (c) with the fulltext pool forced to cover that set. A
NOT_IN_FULLTEXToutcome is genuinely useful here: in my case VICT's row is honestly unfillable, becauseδ̂'s sign convention lives in Appendix D andλ,care unstated in the body.I'm happy to share the run directory, the validator output, and the extracted-formula JSON if any of that is useful.
Separately
During Phase 0 the Semantic Scholar connector returned 0 records for every query (rate limiting), but
lit_grounding_modestill reportedrealand no degraded marker was written, so the 6–24-month published channel was silently missing from the corpus that the first two framings were built on. That looks like a distinct issue from the above — happy to file it separately if you'd like.Thanks again for the work.