LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-15
Score updated: 2026-04-15
Score fresh until: 2026-05-15
References: 0
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines | Route /signal-canvas/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines

MCP example

{
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    "paper_ref": "llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines",
    "query_text": "Summarize LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines"
  }
}

source_context

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  "query": "LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines",
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Evidence Receipt

Route status: building

Claims: 6

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

PDF: https://arxiv.org/pdf/2604.12223v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-15T17:02:08.480Z

Signal Canvas receipt window

Not build-ready: LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

/buildability/llm-guided-semantic-bootstrapping-for-interpretable-text-classification-with-tsetlin-machines

Ignoreblocked

Subject: LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 6Mixed 0Weak 0

Evidencepartial
with Tsetlin Machines Jiechao Gao1, Rohan Kumar Yadav2, Yuangang Li3, Yuandong Pan1, Jie Wang1, Ying Liu4, and Michael Lepech1 1Stanford University 2Independent Researcher 3University of California
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
cation—ranging from traditional methods such as bag-of-words (BoW) and TF-IDF, to neural archi- tectures like CNNs and RNNs, and embedding- based models such as fastText and BERT
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
et al., 2015; Hochreiter and Schmidhuber, 1997; Dong and de Melo, 2018),fastText(Joulin et al., 2017; Munikar et al., 2019),BERT-base, BERT- large(Peng et al., 2019; Sun et al., 2019; Chen and Miyake, 2021),TM
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
deal, proposal, conflict}Enriched input:talks, collapsed, nations, negotiation, agreement, deal, proposal
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
Simon Baker, Imran Ali, Ilona Silins, Sampo Pyysalo, Yufan Guo, Johan Högberg, Ulla Stenius, and Anna Korhonen. 2017
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial
Evidencepartial
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, and Morten Goodwin Olsen. 2019. A tsetlin machine with multigranular clauses.ArXiv, abs/1909.07310. Ole-Christoffer Granmo. 2018
Implicationmissing
Implication not extracted yet.
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

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