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Get Started Free →Use when building the related-work section and positioning for a CVPR paper, covering literature that moves at arXiv speed, concurrent-work etiquette, the CVPR/ICCV/ECCV sibling triangle, double-blind self-citation, verifying that cited "CVPR papers" are actually CVPR papers, and defining deltas against the true nearest neighbors.
.claude/skills/brycewang-stanford-cvpr-related-work/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 89% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-22 | ✗→✓ | ▲ Improved | 74% | 0% |
At CVPR the related-work problem is not scarcity but velocity: the field's literature updates weekly on arXiv, the venue itself accepted 4,090 papers in the 2026 edition alone, and reviewers are drawn from a 25,000-person pool that includes the authors of whatever you forgot to cite. Position precisely or be positioned by Reviewer 2.
| Shelf | What reviewers check | Failure smell | |---|---|---| | Canonical lineage | The 2–3 ancestors of your method family | Reinventing a 2019 module under a new name | | Current SOTA | The methods atop your benchmark's leaderboard now | Comparing only against year-old baselines | | Nearest neighbors | The 2–3 papers a hostile reviewer calls "the same" | No explicit delta stated | | Cross-venue siblings | ICCV/ECCV/NeurIPS/WACV/3DV/SIGGRAPH work on the task | Treating CVPR citations as the whole field | | Concurrent arXiv | Preprints within a few months of the deadline | Pretending they don't exist |
The nearest-neighbor shelf deserves half the section's words. For each: one sentence of credit, one sentence of mechanism difference, one sentence of consequence ("because 24] rebuilds the volume per frame, it cannot run online; we amortize it"). A delta stated in mechanisms survives review; a delta stated in adjectives does not.
With a November deadline and instant preprinting, collisions are routine. The working etiquette: preprints appearing close to or after the deadline are concurrent — cite them once you know of them, in a short "concurrent work" note, without being obligated to outperform them. Two cautions. First, do not use concurrency as a shield for work that predates your submission by months. Second, during the rebuttal you may be pointed at a "missing comparison" that is actually concurrent — answer with dates, calmly, not with indignation.
CVPR requires citing your own lineage in the third person ("12] proposed…"), never omitting it — a hole where your prior paper should be identifies you as effectively as a name. Because arXiv posting is legal during review (verified 2026 policy), reviewers may suspect who you are; your job is only to avoid confirming it in the text: no "our previous work 12]", no shared project-page naming, no acknowledgements.
Vision bibliographies rot in a specific way: a paper gets cited as "arXiv 2024" forever after it appeared at CVPR 2025, or gets attributed to CVPR when it was ECCV (NeRF is ECCV 2020; Mask R-CNN and Segment Anything are ICCV; ViT is ICLR). Before the deadline, reconcile the .bib against dblp or the CVF open-access index:
bash# Bibliography hygiene pass grep -c '@' refs.bib # how big is the problem grep -A2 'archivePrefix\|eprint' refs.bib | grep -B2 '20(1|2)[0-9]' | head # → for each arXiv-only entry older than ~1 year, check dblp for the published venue grep -in 'cvpr\|iccv\|eccv' refs.bib | awk -F: '{print $1}' | head # → spot-check 5 random "CVPR" entries on openaccess.thecvf.com before trusting them
Fabricated or wrong citations carry venue-level risk: the verified 2026 author policy makes citations of non-existent material grounds for rejection, without an LLM excuse. Machine-suggested BibTeX gets the same verification as machine-written prose.
The shape worth copying — question, lanes, deltas, gap — in a fictional example:
> How do prior trackers survive long occlusions? Motion-memory methods 3, 17] > extend Kalman gates over time, but the gate widens until identity switches dominate > beyond ~30 frames. Re-identification banks 8, 24] match appearance on re-entry, > yet require high-confidence detections that occlusion exits rarely produce. Query > propagation 11] carries identity implicitly but only within the training clip > length. None maintains identity through occlusions longer than the model's temporal > horizon — the setting we target.
Four sentences, three lanes, each with a mechanism and a failure, ending in the gap the paper fills. A reviewer can disagree with the gap, but cannot say the authors don't know the field — which is the section's actual job.
Related work at CVPR is conventionally ~0.5–0.75 of the 8 inclusive pages, either as Section 2 or woven into the intro when space is desperate. Organize by question ("How do prior methods obtain temporal consistency?") rather than by laundry-listed subfield headers; end each paragraph with the sentence that turns the survey into an argument: what remains unsolved that your method solves.
Related work re-opens in January. When a review says "not novel, see X]":
never with "we are the first," which invites counterexamples.
dates and offer a camera-ready citation.
rebuttal rather than defending the indefensible; ACs read the exchange, and a calibrated concession on novelty can coexist with acceptance when the execution and analysis carry weight.
to the AC via the confidential channel with your search evidence — see cvpr-review-process.
courtesy window is convention, not published law — treat cut-off claims as 待核实).
age in weeks at this venue.
conference) for late-breaking nearest neighbors your reviewers will have seen.
text[Coverage] shelves complete: lineage / SOTA / neighbors / cross-venue / concurrent [Nearest neighbors] <paper → mechanism delta → consequence> ×3 [Concurrent notes] <preprints + dates> [Self-citation] third-person clean: yes/no [Bib hygiene] arXiv-only entries checked: <n>; venue misattributions fixed: <n> [Gaps] <missing comparisons a reviewer will name>
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-23 | pass→pass | 18,685 | 12,646 | -32% | 1 | 1 | 0% | 1,699 | 2,481 | +46% | 0 | 0 | — |
case-02 | fail→pass | 46,180 | 31,966 | -31% | 1 | 1 | 0% | 6,994 | 5,898 | -16% | 0 | 0 | — |
case-09 | pass→pass | 18,082 | 12,938 | -28% | 1 | 1 | 0% | 2,876 | 3,296 | +15% | 0 | 0 | — |
case-10 | fail→pass | 16,915 | 13,696 | -19% | 1 | 1 | 0% | 1,788 | 3,379 | +89% | 0 | 0 | — |
case-01 | fail→pass | 48,746 | 38,097 | -22% | 1 | 1 | 0% | 8,054 | 7,990 | -1% | 0 | 0 | — |
case-21 | pass→pass | 18,497 | 21,540 | +16% | 1 | 1 | 0% | 2,626 | 4,318 | +64% | 0 | 0 | — |
case-03 | fail→fail | 55,443 | 28,019 | -49% | 1 | 1 | 0% | 8,033 | 5,749 | -28% | 0 | 0 | — |
case-04 | pass→pass | 17,490 | 18,216 | +4% | 1 | 1 | 0% | 2,037 | 4,763 | +134% | 0 | 0 | — |
case-05 | pass→pass | 19,003 | 33,197 | +75% | 1 | 1 | 0% | 3,193 | 6,380 | +100% | 0 | 0 | — |
case-06 | pass→pass | 21,230 | 22,752 | +7% | 1 | 1 | 0% | 2,785 | 4,331 | +56% | 0 | 0 | — |
case-07 | fail→pass | 22,484 | 17,081 | -24% | 1 | 1 | 0% | 2,810 | 4,401 | +57% | 0 | 0 | — |
case-08 | pass→pass | 15,352 | 15,894 | +4% | 1 | 1 | 0% | 1,764 | 3,792 | +115% | 0 | 0 | — |
case-11 | fail→fail | 21,020 | 18,380 | -13% | 1 | 1 | 0% | 2,414 | 3,611 | +50% | 0 | 0 | — |
case-12 | fail→fail | 18,278 | 18,514 | +1% | 1 | 1 | 0% | 2,069 | 3,597 | +74% | 0 | 0 | — |
case-13 | pass→pass | 14,069 | 20,195 | +44% | 1 | 1 | 0% | 2,285 | 3,791 | +66% | 0 | 0 | — |
case-14 | pass→pass | 19,048 | 19,191 | +1% | 1 | 1 | 0% | 2,232 | 3,853 | +73% | 0 | 0 | — |
case-15 | pass→pass | 20,986 | 19,702 | -6% | 1 | 1 | 0% | 2,445 | 4,278 | +75% | 0 | 0 | — |
case-22 | fail→pass | 16,436 | 21,763 | +32% | 1 | 1 | 0% | 2,453 | 4,272 | +74% | 0 | 0 | — |
case-16 | fail→pass | 18,304 | 21,122 | +15% | 1 | 1 | 0% | 2,072 | 5,013 | +142% | 0 | 0 | — |
case-17 | fail→pass | 14,242 | 16,319 | +15% | 1 | 1 | 0% | 2,227 | 3,579 | +61% | 0 | 0 | — |
case-18 | fail→fail | 19,751 | 20,070 | +2% | 1 | 1 | 0% | 2,086 | 3,739 | +79% | 0 | 0 | — |
case-19 | fail→pass | 53,491 | 19,140 | -64% | 1 | 1 | 0% | 8,257 | 3,869 | -53% | 0 | 0 | — |
case-20 | fail→pass | 10,075 | 8,660 | -14% | 1 | 1 | 0% | 1,639 | 2,082 | +27% | 0 | 0 | — |
case-24 | fail→pass | 25,396 | 19,742 | -22% | 1 | 1 | 0% | 2,825 | 4,293 | +52% | 0 | 0 | — |
case-25 | pass→pass | 15,863 | 15,880 | +0% | 1 | 1 | 0% | 2,414 | 3,628 | +50% | 0 | 0 | — |
case-26 | fail→pass | 14,612 | 2,922 | -80% | 1 | 1 | 0% | 2,059 | 2,084 | +1% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 26 cases were attempted. The headline lift of +42 percentage points is the difference between those two pass rates over the 26 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.