- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
01Result
MrNeRF/awesome-3D-gaussian-splatting ↗MrNeRF/awesome-3D-gaussian-splatting AI coding statistics: 9.1%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.
Agent share by month
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 0% | 2 |
| 2026-03 | 0% | 3 |
| 2026-04 | 0% | 5 |
| 2026-05 | 0% | 2 |
| 2026-06 | 0% | 3 |
| 2026-07 | 0% | 4 |
| 2026-08 | 17.4% | 23 |
| 2026-09 | 0% | 2 |
Peak month: 17.4%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 4 | 9.1% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
c2bd2ef7on GitHubImprove accuracy of PlayCanvas entries and add SOG blog postClaude Code69bdfd40on GitHubSite: use LichtFeld Studio as the link text on the paper listClaude Codece3a064don GitHubREADME: retire gaussian-splatting-cuda, consolidate duplicated sectionsClaude Code
04Method
What entered the denominator
The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.
Exclusion ledger
| Commits in window | 78 |
| Merge commits removed | −20 |
| CI / dependency bots removed | −14 |
| Considered | 44 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
Run the same detector locally.
Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.
npx qmmit-cli MrNeRF/awesome-3D-gaussian-splatting