Research problem entry

Everything starts with a research question.

这个页面是 10 Paper Portfolio 的研究问题入口。研究问题本身是第一产物, 能回答多少不是第一优先级。这里不是论文标题清单,也不是 44 篇文章的承诺表; 问题可以先保持开放,再逐渐长出 evidence、SOTA pressure、objection、实验或论文。

4434 RQ + 10 USL slots
4current WIP authorization
RQstable question ids
Ppaper handles may drift

当前 WIP 与正式 slot

当前不是平均推进 44 个槽位。下面先列出 WIP=4 的既有授权集合,再列出 P33、P34 两个不占 WIP 的正式 slot; 当前唯一下一科学门禁仍是 USL-03,USL-04 在其结果记录后进入。48h path 不要求给出答案; 它可以只是把问题为何值得问、最强异议和下一条反馈或证据路径说得更清楚。

USL-03only next scientific gate

Same-unit counterfactual 需要什么额外 coupling?

下一门禁是 formal impossibility result 与 non-vacuous partial-identification construction。

USL-04queued after USL-03 outcome

诚实的 unit belief 能否定位 treatment effect?

下一门禁是冻结 pre-treatment estimand、cross-fitting protocol 与 matched experiment。

RQ31evidenced lane / not immediate gate

Learnable Cauchy–KL kernel 是否超出 matched controls?

corrected-v4 已完成 integrity、objective 与 claim audit;当前只保留 clean k=100 的 scope-limited local contrast。v3 是 objective-unvalidated provenance,mechanism、Cauchy-specific、scale 与 general-baseline claims 均未建立。

RQ32evidenced lane / not immediate gate

Evidence-conditioned latent coordinate 能否诱导局部双线性预测视角?

v0.5 已对齐 USL01 response interface,UnitRec-Synth v0.1 的九项 controlled Gaussian whole-user checks 全部通过;real-world selector 仍未验证。冻结 v0.3 是 collapsed proxy diagnostic,其 historical HTML projection noindex 且 stale against v0.5,linked artifacts 仍公开。

RQ33formal slot / outside WIP

Student-t mixture head 能否同时处理重尾与条件多模态?

Stage 1 四机制五 seed matrix 已完成 340/340,并分别通过 mixture 与 tail gate;五数据集 real Stage 1 完成 375/375,但不建立真实 conditional multimodality。Mandatory scale v0.2 完成 190/190,仍有 revision/full-host provenance hold;Stage 2 surface、external baselines 与独立 host reproduction 待完成。

RQ34formal slot / outside WIP

固定复杂度 density coding 能否在有可辩护标签顺序时降低 extreme multiclass output-head 参数?

Ordered C=1000 synthetic gate 显示 structured-label signal,random permutation 几乎抹除该信号;C=5000 slice 未保持 accuracy,local CPU exact scoring 慢于 softmax,且没有独立 Student-t tail gain。下一门禁是 C={100,1000,5000,10000} 三 seed、semantic/learned-code controls、强 label-embedding/MHE opponents,以及 exact-versus-fast Top-r decoding。P34 不占当前 WIP,也不改变 USL-03 → USL-04 顺序。

问题进入规则

新问题不需要先答完下面五项才有资格进入。先把核心疑问留下来;这些提示只帮助它逐渐 变清楚。答不上来,可以继续保持 open,也不要为了进入论文流程而制造答案。

它改变什么理论、决策、系统能力或投稿策略?
48h 内什么证据能让它不只是好听?
最强 paper-killing objection 是什么?
它的 source 属于 Primer、HCGM、DiscoSCM、Team OS、old draft 还是 newly scouted?
需要 gong 深介入,还是 agent 可以先跑 evidence pass?

44 Research-Question Slots

`RQxx` 是稳定问题槽位;`Pxx` / old `A2` / `B5` 只是候选或论文 handle。 A/B/C package role 必须等 evidence 成熟后再浮现。

Slot Research question Handle State 48h evidence Kill / merge rule
RQ01When should causal modeling start from observational data, and how does the answer change if heterogeneity is primitive?P01 observational surveyreview wedgeOutline plus source matrix with 30 core references.Kill expansion if it becomes a generic causal inference method list.
RQ02Can structural causal mechanism interfaces improve LLM / agent counterfactual reasoning beyond prompt-only baselines?old P01 / A1liveOne benchmark task where mechanism structure changes answer or failure attribution.Park if novelty is only prompt engineering around existing benchmarks.
RQ03Can agent causal reasoning be evaluated by decision deltas in real workflows?P02 / old A2sprintIndependent recoding or broader sample for the 10-event decision-delta table.Downgrade to internal eval if deltas are post-hoc or founder-specific.
RQ04Can collaboration traces become causal data for improving multi-agent workflows?P03 / old A3liveRedaction-safe event schema over 20 events and one intervention contrast.Park if privacy redaction destroys signal or examples stay anecdotal.
RQ05What failure-class semantics do agent runtime health probes need to avoid wrong escalation?P04 / old B1sprintOne less self-referential replay case plus verified opponent metadata.Downgrade to runbook/blog if taxonomy is standard SRE with no agent-runtime contribution.
RQ06Can a tabular foundation model operate on ultra-high-dimensional, variable-length sparse feature sets without a fixed maximum column axis, with recommendation as the first stress test?P05live owner-review seedMatched 10^4/10^5/10^6 sparse episodes with variable active counts, unseen IDs, schema drift, memory and latency telemetry.Kill if ordinary sparse embeddings or a fixed vocabulary explain the result.
RQ07Can sparse human taste be converted into durable agent work changes?P06 / old B3parkedFive real feedback events with artifact_delta or decision_delta tracking.Park until real feedback changes downstream work.
RQ08Can app-less agent harnesses optimize communication bandwidth better than dashboard-first workflows?P07 / old B4parkedObservable bandwidth rubric over three workflows.Park if the metric remains taste-only or too subjective.
RQ09What state machine helps multi-agent paper production decide sprint / park / merge / kill?P08 / old B5sprintConvert top candidates into structured entries and prove work allocation changed.Kill as paper if it adds bureaucracy without changing decisions.
RQ10Can Causality Primer become an agent skill curriculum with task-level evaluation?P09 / old C1parkedOne chapter becomes one skill exercise plus eval.Keep as skill asset unless it gains research contribution.
RQ11Can LLM-derived semantic feature tokens and evidence-abducted Unit tokens support RecSys-style masked prediction across heterogeneous table schemas with exact column-order invariance?P11 tabular foundation modelsv1 architecture seedFreeze semantic-column TFM overlap, cross-table parameter sharing, LLM training and adaptation contracts before a bounded multi-schema test.Fold back into the review asset if this is an existing semantic-column TFM under Unit vocabulary or creates no discriminating result.
RQ12What agent profile state is minimally necessary for team intelligence?old C3 / component of RQ04componentBefore/after routing-error comparison.Keep as Team OS background unless it creates independent evidence.
RQ13Does a kill matrix prevent AI-generated paper-shaped artifacts?P12 / old C4componentApply reviewer objections to 15 candidates and log changed decisions.Keep merged into RQ09 unless it becomes independently measurable.
RQ14How can team agent logs preserve causal signal without leaking private context?P13 / old C5parkedRedaction levels over three concrete log examples.Park until publishable examples exist.
RQ15Can probability distributions be directly aggregated by a defensible information aggregation operator?WEDGE-001liveTwo-page SOTA/opponent memo with 10 closest related works.Park if the operator reduces to known pooling/fusion or lacks advantage.
RQ16How can the first bounded DiscoSCM slice learn a token-modulated outcome mechanism from one factual observation per token?Learning DiscoSCM · P16 supporting seedflagship scienceV2 logic contract and factual-law/non-identifiability/Cauchy/off-diagonal propositions; next run is a truth-isolated alternative-query benchmark.Not an active submission package; require comparator-aware evidence and do not infer Layer 3 identification from factual-law recovery.
RQ17What is the minimal benchmark for DiscoSCM-style counterfactual / intervention reasoning?DiscoSCM evalopenThree tasks, baseline, scoring rule, failure taxonomy.Park if tasks duplicate existing causal LLM benchmarks.
RQ18Can CausalQwen / CausalLLM evidence be rebuilt into a credible causal-reasoning package?CausalLLMopenLocate current evidence, dataset, baseline, and reproduction path.Park if evidence cannot be reproduced.
RQ19When are population-level cycles projections of unit-level DAG mechanisms?Primer Ch03openFormal note plus examples separating projection cycles from equilibrium semantics.Merge into Primer if no paper-level opponent appears.
RQ20Can robust prediction under distribution shift be reframed as mechanism preservation across heterogeneous units?causal representationopenThree SOTA opponents plus one toy shift example.Park if it is a generic distribution-shift survey.
RQ21Can causal mechanism diagnosis improve LLM / agent failure attribution?Causal intelligenceopenTwo failure cases where mechanism diagnosis changes repair path.Merge into RQ02/RQ03 if not independently sharp.
RQ22How should no-data causal reasoning be represented before observational evidence enters?P01 source bucketopenSource matrix examples from action, physics, social mechanism, and counterfactuals.Merge into RQ01 unless it demands standalone treatment.
RQ23What changes when unit-specific treatment-response mechanisms become primary objects beyond HTE / ITE?P23 / HCGM causal-effectpreflightUpstream theory, robustness, IHDP and WAWS evidence plus HTE/ITE comparison.Reposition if the object-level distinction adds no value beyond direct robust or representation learners.
RQ24Can PyWhy / DoWhy-style workflows become executable teaching/evaluation assets for causal intelligence?Primer toolingopenOne model-identify-estimate-refute case connected to Primer.Keep as course/tooling asset unless evaluation becomes novel.
RQ25Can old manuscript assets be upgraded through a standard SOTA/opponent pass?old draft protocolopenInventory five old drafts and run one complete upgrade/park memo.Merge into RQ09 if it remains production protocol.
RQ26Which research problems should gong personally deep-touch, given a 2-3 slot attention budget?owner attentionopenTaste/novelty/owner-need rubric applied to all live slots.Keep internal unless it becomes RQ09 evidence.
RQ27Can a source matrix prevent survey papers from becoming literature lists?P01 processopenBuild source matrix for RQ01 and record how it changes outline.Merge into RQ09 if it is only workflow evidence.
RQ28Can a single-paper entry site improve public feedback and reviewer readiness?public projectionopenOne P01 or RQ09 entry updated from placeholder to real public-safe page.Keep as delivery asset unless feedback effect is measured.
RQ29What is the publication boundary between WeHub internal evidence and public research claims?research integrityopenBoundary memo using P02/P04/RQ14 as cases.Merge into RQ14 if it becomes only log privacy.
RQ30How should WeHub mine new research questions continuously instead of waiting for brainstorming bursts?question engineopenDaily question intake protocol plus one week of changes to board state.Keep as internal loop unless it produces publishable method evidence.
RQ31Does a mathematically valid learnable location–scale Cauchy–KL kernel provide value beyond matched RBF and fixed-scale Cauchy controls?P31 / learnable Cauchy–KL kernelcorrected-v4 complete + claim auditedIntegrity and objective repair pass for this artifact; the audit retains only scope-limited clean k=100 local support (27/27 lower means, 26/27 exploratory intervals excluding zero, 131/135 seed wins). No mechanism, Cauchy-specific, input-dependent-scale, or general-baseline claim is established; deep-vs-fixed remains grid_sensitivity_hold and Candidate U remains prospective.Run fixed-grid sensitivity or objective-valid mechanism experiments only for a claim actually pursued; otherwise retain this scoped result and preserve corrected-v3 as objective-unvalidated provenance.
RQ32Can an evidence-conditioned stable latent-coordinate law turn globally nonlinear factual prediction into coordinate-conditioned local affine views with an exactly marginalized stable predictive law, and what scientific type should that coordinate have?P32 / UALBMv0.5 controlled unit semantics validated / real-world unvalidatedThe realized identity-bearing unit now directly selects the response-law member, and UnitRec-Synth v0.1 passes all nine controlled Gaussian checks. Frozen v0.3 tabular runs remain collapsed proxy diagnostics; their historical HTML owner-review projection is noindex and stale against v0.5, while linked PDF/tar artifacts remain public until server policy changes.Pressure-test closest opponents and a declared-unit real-world selector; keep grouped/deduplicated and robustness gates scoped to the v0.3 proxy, and downgrade to a technical note if only standard ingredients survive review.
RQ33Can a shared-encoder Student-t mixture density network improve conditional-density quality on tabular regression by separating heavy-tail robustness from input-dependent multimodality, with Gaussian and Cauchy as matched special cases?P33 / Shared-Encoder Student-t MDNformal slot / Stage 1 mechanism gate passed / Stage 2 pendingThe four-mechanism synthetic matrix completed 340/340 runs and separates mixture and tail effects; the five-dataset real panel completed 375/375 runs but supports no real multimodality claim. Scale v0.2 completed 190/190 with a revision/full-host provenance hold.Run the Stage 2 phase diagram, categorical Ames/CCPP, external baselines, Faithful/beta-NLL controls and independent-host reproduction; retain the conditional benchmark fallback When Do Student-t Mixture Density Networks Help?.
RQ34Can fixed-complexity density coding reduce learned output-head parameters for extreme multiclass prediction when labels have a defensible order?P34 / MIXCODEformal slot / ordered-label signal / scaling pendingThe bounded synthetic gate shows an ordered-label signal and a sharp random-permutation failure; C-scaling, exact-ranking latency, Student-t-specific gain, and real-data evidence remain unresolved.Require three seeds, semantic/learned code controls, strong embedding/MHE opponents, and exact-versus-fast Top-r decoding; retain only a structured-label benchmark if the general claim fails.

USL 十篇独立研究课题

Unit Selection Learning 的十个 registered AAAI-27 课题拥有独立身份, 与上述 34 个 RQ 槽位并行。它们共享同一 unit-belief 理论边界,但每篇有独立可证伪 claim。 进入 USL 十篇完整入口 →