pith:4SACMDNV
A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery
A multi-agent feedback system detects and describes five times more news events in satellite imagery than traditional geocoding.
arxiv:2604.12772 v2 · 2026-04-14 · cs.CV · cs.MA
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\usepackage{pith}
\pithnumber{4SACMDNVTBBGLUQISJO6G4OLMX}
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Record completeness
Claims
Our experiments show that SkyScraper successfully finds 5x more events than traditional geocoding methods, demonstrating that agentic feedback is an effective strategy for surfacing new multi-temporal events in satellite imagery.
That the multi-agent system can accurately geocode news events to visible changes in satellite imagery sequences and generate reliable captions without high rates of false positives or incorrect descriptions.
SkyScraper uses iterative multi-agent feedback to geocode news articles and synthesize captions for satellite image sequences, locating 5x more events than traditional methods and producing a new 5,000-sequence dataset.
Receipt and verification
| First computed | 2026-05-29T01:05:09.465181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e480260db5984265d208925de371cb65d7b32072101cba29f3fe24aac0056269
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4SACMDNVTBBGLUQISJO6G4OLMX \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e480260db5984265d208925de371cb65d7b32072101cba29f3fe24aac0056269
Canonical record JSON
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