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  3. WebXSkill: Skill Learning for Autonomous Web Agents
← Back to Paper

WebXSkill: Skill Learning for Autonomous Web Agents

Stale4d agoPending verification refs / 4 sources / Verification pending
Clone RepoExport BriefOpen in Build LoopConnect with Author
View PDF ↗
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/webxskill-skill-learning-for-autonomous-web-agents

building
Observed
2026-04-16
Fresh until
2026-04-30
Coverage
67%
Source count
4
Stale after
2026-04-30

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
2026-04-16
References
0
Sources
4
Coverage
67%

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

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

Agent Handoff

WebXSkill: Skill Learning for Autonomous Web Agents

Canonical ID webxskill-skill-learning-for-autonomous-web-agents | Route /signal-canvas/webxskill-skill-learning-for-autonomous-web-agents

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/webxskill-skill-learning-for-autonomous-web-agents

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "webxskill-skill-learning-for-autonomous-web-agents",
    "query_text": "Summarize WebXSkill: Skill Learning for Autonomous Web Agents"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "WebXSkill: Skill Learning for Autonomous Web Agents",
  "normalized_query": "2604.13318",
  "route": "/signal-canvas/webxskill-skill-learning-for-autonomous-web-agents",
  "paper_ref": "webxskill-skill-learning-for-autonomous-web-agents",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: WebXSkill: Skill Learning for Autonomous Web Agents

PDF: https://arxiv.org/pdf/2604.13318v1

Repository: https://github.com/aiming-lab/WebXSkill

Source count: 4

Coverage: 67%

Last proof check: 2026-04-16T20:24:04.770Z

Paper Conversation

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

Paper Mode

WebXSkill: Skill Learning for Autonomous Web Agents

Overall score: 7/10
Lineage: 256732915e39…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-16T20:24:04.770Z

Freshness: fresh

Proof: unverified

Repo: active

References: 0

Sources: 4

Coverage: 67%

Missingness
  • - 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 7.0

GitHub Code Pulse

Stars
8
Health
C
Last commit
4/13/2026
Forks
0
Open repository

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.

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