SatQuery / RELEASE_MANIFEST.md
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Release Manifest

Repository: Anish-lab-blip/SatQuery-AI (public) Generated: 2026-09-25T22:47:35+00:00 Generator: release/tools/generate_release_manifest.py (computed from disk, never typed)

Files: 53 · Total size: 9,366,709 bytes (9147.2 KiB)

Every file in this release, with its size and sha256. Verify a checkout with:

# for each row:  echo '<sha256>  <path>' | sha256sum -c -
# Path Bytes sha256
1 HF_RELEASE_VERIFICATION.md 6,443 1d87487c2e9db5fb86781076c5061e2090077dbe90f8728f848eab0c615cf43e
2 MODEL_CARD.md 57,166 d1ef979aa5cacd2271ebcafef343bd193f8bb2c201db79b0beb305de1b042d42
3 README.md 88,433 87d0ad3fd4078613ab5ecad7e8949836a728371619095f16cb241ab9e222cbd6
4 docs/API_CONTRACT.md 48,709 8a5f4d8635ee0d2149db491e3283cab14a55cadeb637ad5fb4f734eff4654fc9
5 docs/ARCHITECTURE.md 7,672 60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d
6 docs/BENCHMARKS.md 55,999 97cfe327793443f60c98e6948c1080a4fecab0cf721252f119deb20cc6736c09
7 docs/CHANGELOG.md 36,879 c2bfa8609db63801af2c46c7b8ecffae26c1685f22bcbb5e8b458d541c8a8309
8 docs/DATASETS.md 67,723 1aa5dc9715be4c94eb357d1066c79a6cc5d4c59ae4d587f249e3f1e66c1f628f
9 docs/DATA_PIPELINE.md 66,285 24a543fd4ac270d0d58976dff1ab247610c4be7698a15f9380dbdf27c0f92c8b
10 docs/DEPLOYMENT.md 45,603 ff2c9291dcc2eca7c0723eb3e6a8da3bd2da1f1c084a18b941414301a379bcdf
11 docs/DEVELOPMENT.md 69,355 52731bd5b187b911ee09ba03b17937096c1c1562cd6e3592ccacefe7b4881bbb
12 docs/EVALUATION.md 111,672 f35020b7a051409f1f53b7a1464eaa87252dd1dee6ea5bc378492e396063b48a
13 docs/FRONTEND.md 73,926 bb2f8b2fb7388329c526f9e2e3fa23dff9df21f86ef2751867d045b50dc6e9d4
14 docs/GEOSPATIAL.md 92,888 ff2753fa10b5db4971ae949c828b7ecb5909b8ad9ed6bed287864ab23d7f0d6c
15 docs/GLOSSARY.md 40,998 81f1a86d721e6517893bb56e5408b4315dd38a6b214e0f79f840b5ea9f8fc754
16 docs/LIMITATIONS.md 40,805 1205aab110bc0f34140d314ea6c2e723f37c973313d86339f8f7275a2bbed170
17 docs/MASTER_ARCHITECTURE_PLAN.md 65,304 64169e36069c777ad8d28501d7e6228af30fff5bd69d3b55806c38b11dc9365b
18 docs/MODELS.md 103,145 5a3b166035a2ee9ea53f5aa3a2f751045494562181bba8f8a85f7babba063d6f
19 docs/OPERATIONS.md 62,268 53ab5d5cb1686ba0e43abdde163dc2912b0fb860dc6e8081d192a01d7f184016
20 docs/PERFORMANCE.md 52,946 5c079ac08b7dc765af82a3dbf95e067b8797c8f9a30d23df9977252087c7fdee
21 docs/REPRODUCIBILITY.md 65,200 28caf713d81ca516d9a5537e80c55aed8188a35797cf8917823097c561c641a4
22 docs/RESEARCH_NOTES.md 41,248 321226af9aaa903135730ea7a8a4e18a8d1999bdf30ff67b19417e34ab453651
23 docs/SECURITY.md 114,342 7841f002f14a7b341dbebf10a46dfa7c6ff3e12918e29cb619e5411b88407e3f
24 docs/SERVING.md 75,797 cd590b26c3f085dae29fa4f91b5f9ce93337f0b8a5a31d4f2ccad895babe0896
25 docs/TESTING.md 96,897 18745a84e1d98fcfa5498c586c9af1cc9dc8688351ac37ca4f8c11a1be9550e5
26 docs/TRAINING.md 90,697 7575748b37006b6353f511059ddf7c29cd210d84b47ec702b10eefc7297453f1
27 docs/architecture/01-system-overview.md 8,376 8df172840fcb5782b6d34665c32b061e4e345ce0957aa5804721340725c89913
28 docs/architecture/02-deployment-topology.md 85,979 0c7945e9bc1a54ba1982daae20dea40c79bd24544e7fba0b3fa42da61f37fb15
29 docs/architecture/03-request-lifecycle.md 130,175 cec5e819e40686158cbf86e864a63022a029fc5497c04afac5e2648c678e0815
30 docs/architecture/04-router.md 262,652 48fda335045b4396b97002fca2e3e46af9206cf70276fcb31fa9967c14363db3
31 docs/architecture/05-specialists.md 252,171 2966131b2adcbe7e07e0126508dff8d5c4eaa898c750b64e30fd44effe33b1b4
32 docs/architecture/06-evidence-and-confidence.md 108,044 8ea1fe799d9af0ef7abb1face1048633834e28903c0bb21e9788236b440a9daa
33 docs/architecture/07-configuration-freeze.md 106,023 d46b779fdebdbe73036eff8092b1336fd2f2974d47bd1fa3e14b11bbe5a231ff
34 docs/architecture/08-api-contract.md 127,341 357bfa8c518d2feead36252d8e9d46d183460497e87d68fe175cda2230ba310f
35 docs/architecture/09-frontend.md 78,287 8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760
36 docs/architecture/10-observability-and-ops.md 104,695 4e660a6358d7a317ed2d49f3370919bec6cd233305f2795254bc3f4944a2438a
37 models/checksums.sha256 642 f177e6fbc807868141378a75f36ca07cb01a8f859d9f80f1935fbf396ddf5380
38 models/manifest.json 4,458 ae1f55cf906095e089c769efb774a8461dc20b7076752e7fbae1091255f38eb0
39 screenshots/analyze-caption.png 890,381 428abb8edff78812f2e1cfb23965f00572e89d741f6fd56bf6c5f3d4d500293f
40 screenshots/analyze-change-vqa.png 694,618 0ddb4e6043443119db98ad4a70c637aacb27ec2404959f111bbe58c80c009e47
41 screenshots/analyze-change.png 445,200 a833e4e975c70659769f499525b6182a0bfb17f1fad3d213e9f303954a9ada87
42 screenshots/analyze-grounding-buildings.png 1,036,080 9714f51020b224271f22a3be44fedb94f7c3b532cca68ba32179debb7edcb604
43 screenshots/analyze-grounding-new-airport.png 1,042,892 5d5af7d23c9f8c1f3724cb7775f1873f199442d1afbfa3726a43495780052555
44 screenshots/analyze-grounding.png 1,035,183 b3199b55ea819d4955fcc713311c8fcb475f069aa99966e8fd577f21a16d184b
45 screenshots/analyze-optical-sar.png 131,330 6006c8b35217904bfe1042137c22de4d8765bc57b1efb418a131df9ce8477b94
46 screenshots/analyze-vqa.png 1,104,701 7ee1d95fa1fb29fce86cf4a3545a8fa8811dbe4c18af3acc7816838b1412ad62
47 tools/build_archive.py 8,351 73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae
48 tools/generate_model_manifest.py 6,868 f445a43c888a30fcd868d810f1cacf8e682e8ed331755c661de2c29fb8d59550
49 tools/generate_release_manifest.py 4,100 9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884
50 tools/hf_verify.py 3,878 e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e
51 tools/readme_metrics_report.txt 4,027 25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc
52 tools/verify_archive.py 4,946 babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf
53 tools/verify_readme_metrics.py 6,911 0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388

Machine-readable listing

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d1ef979aa5cacd2271ebcafef343bd193f8bb2c201db79b0beb305de1b042d42  MODEL_CARD.md
87d0ad3fd4078613ab5ecad7e8949836a728371619095f16cb241ab9e222cbd6  README.md
8a5f4d8635ee0d2149db491e3283cab14a55cadeb637ad5fb4f734eff4654fc9  docs/API_CONTRACT.md
60611ca515e98a96beeae7a39e150532b577561b144c964f4a9a9fd2d66e470d  docs/ARCHITECTURE.md
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52731bd5b187b911ee09ba03b17937096c1c1562cd6e3592ccacefe7b4881bbb  docs/DEVELOPMENT.md
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5c079ac08b7dc765af82a3dbf95e067b8797c8f9a30d23df9977252087c7fdee  docs/PERFORMANCE.md
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8d38bd2f2208271c533695feb22e67ea00bd529ede9cf2b5eb928a52d9bb5760  docs/architecture/09-frontend.md
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73574bb0ec85d5f7505b51661021f844dfd43cd13fafc802f75aa3835dd6a1ae  tools/build_archive.py
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9facdcd4a3a5d23adbaccf34c4c7a89d661e1bed47e7da5dc6977181a8ac5884  tools/generate_release_manifest.py
e6e59312bb9d20e103d7bd57b1924cc6fae0a4d1a552a2dd2fdbcce80885e86e  tools/hf_verify.py
25108a07f671b8a33e5c312a81ce9d18e7a9c06b4955fb137a0f62e20c5bb2dc  tools/readme_metrics_report.txt
babb44dbb60497172a70d0b3c4abc26520bd0e37ef06c215e3f016f0d25a1abf  tools/verify_archive.py
0ce1273aa5f847a56a38a4ca6601f50648d19cc1637394509ce5a9f1309ea388  tools/verify_readme_metrics.py

Contents summary

Area What it is
README.md the repository front page
MODEL_CARD.md model card for the six trained artifacts
docs/ the research + engineering documentation set
docs/architecture/ the deep architecture reference (multi-part)
models/manifest.json generated manifest of the six trained artifacts
models/checksums.sha256 generated checksums for the six trained artifacts
screenshots/ real live-run captures

What this release deliberately does NOT contain

  • Backbone weights. They are fetched from the Hugging Face Hub, pinned by revision.
  • Secrets. No tokens, keys, or environment files.
  • The private deployment repositories. Their sources are not published here.
  • Datasets. Acquisition procedures are documented; the data is not redistributed.
  • A licence file. None has been selected yet — this is an OPEN item.