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  3. Do BERT Embeddings Encode Narrative Dimensions? A Token-Leve
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Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Stale6d ago
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.

Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f

building
Observed
2026-04-14
Fresh until
2026-04-28
Coverage
50%
Source count
3
Stale after
2026-04-28

Verification is still converging across references, source coverage, and proof checks.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-14
References
0
Sources
3
Coverage
50%

Commercialization rails stay hidden until proof clears: proof_status, references_count.

Search indexing stays off until proof clears: proof_status, references_count.

Agent Handoff

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Canonical ID do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f | Route /signal-canvas/do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f",
    "query_text": "Summarize Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction",
  "normalized_query": "2604.10786",
  "route": "/signal-canvas/do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f",
  "paper_ref": "do-bert-embeddings-encode-narrative-dimensions-a-token-level-probing-analysis-of-time-space-causality-and-character-in-f",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Freshness: 2026-04-14T20:10:55.35403+00:00

Claims: 0

References: 0

Proof: Verification pending

Freshness: computing

Source paper: Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

PDF: https://arxiv.org/pdf/2604.10786v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-14T20:29:37.490Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction

Overall score: 5/10
Lineage: b676e1babe67…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-14T20:29:37.490Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 5.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

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.

Keep exploring

Builds On This
Do Language Models Encode Semantic Relations? Probing and Sparse Feature Analysis
Score 2.0down
Prior Work
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Score 5.0stable
Prior Work
Text-to-Stage: Spatial Layouts from Long-form Narratives
Score 5.0stable
Higher Viability
Retrieving Climate Change Disinformation by Narrative
Score 7.0up
Higher Viability
Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
Score 6.0up
Higher Viability
NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating
Score 7.0up
Higher Viability
Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias
Score 6.0up
Higher Viability
LAG-XAI: A Lie-Inspired Affine Geometric Framework for Interpretable Paraphrasing in Transformer Latent Spaces
Score 7.0up

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