{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MT4AUUQJZUOGTUKP5BHHE5WKKW","short_pith_number":"pith:MT4AUUQJ","canonical_record":{"source":{"id":"2507.18099","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T05:23:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3532699e9756a4c75f8827051a0af690755b901021a1b725f769c02eb876ebd","abstract_canon_sha256":"69f42776294ba8dcd47386e665c0c36cdf7dbcd92bd79efcd867c29e6c85f5d0"},"schema_version":"1.0"},"canonical_sha256":"64f80a5209cd1c69d14fe84e7276ca55aefca048c8a9c324baa2af4a3956f033","source":{"kind":"arxiv","id":"2507.18099","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18099","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18099v1","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18099","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"MT4AUUQJZUOG","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"MT4AUUQJZUOGTUKP","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"MT4AUUQJ","created_at":"2026-07-05T11:42:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MT4AUUQJZUOGTUKP5BHHE5WKKW","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18099","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T05:23:02Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3532699e9756a4c75f8827051a0af690755b901021a1b725f769c02eb876ebd","abstract_canon_sha256":"69f42776294ba8dcd47386e665c0c36cdf7dbcd92bd79efcd867c29e6c85f5d0"},"schema_version":"1.0"},"canonical_sha256":"64f80a5209cd1c69d14fe84e7276ca55aefca048c8a9c324baa2af4a3956f033","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:41.476113Z","signature_b64":"T8oz2VNWsr1oe9qmjliolG9IY4x9SW4qHnJntpRNiWH68wg7Ynf25zykfGeXQtbYV4xb5VzZaWHU3YwkfZmxDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64f80a5209cd1c69d14fe84e7276ca55aefca048c8a9c324baa2af4a3956f033","last_reissued_at":"2026-07-05T11:42:41.475663Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:41.475663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18099","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1l4aasmu3WY6xOOsXkU7fPa3l/TPodxFiRHNsGoTK5I2CQSoKEpP2l5lt0KD2LAHZohts3LmcvuENtj93ml4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:02:37.161925Z"},"content_sha256":"00e3029aadd6fc05a279227c9e429f5a2ffb8884306d045ace65c084954ebb8b","schema_version":"1.0","event_id":"sha256:00e3029aadd6fc05a279227c9e429f5a2ffb8884306d045ace65c084954ebb8b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MT4AUUQJZUOGTUKP5BHHE5WKKW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparison of Segmentation Methods in Remote Sensing for Land Use Land Cover","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Joel D Joy, Naman Srivastava, Rakshit Ramesh, Swarup E, Yash Dixit","submitted_at":"2025-07-24T05:23:02Z","abstract_excerpt":"Land Use Land Cover (LULC) mapping is essential for urban and resource planning, and is one of the key elements in developing smart and sustainable cities.This study evaluates advanced LULC mapping techniques, focusing on Look-Up Table (LUT)-based Atmospheric Correction applied to Cartosat Multispectral (MX) sensor images, followed by supervised and semi-supervised learning models for LULC prediction. We explore DeeplabV3+ and Cross-Pseudo Supervision (CPS). The CPS model is further refined with dynamic weighting, enhancing pseudo-label reliability during training. This comprehensive approach "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18099","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.18099/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OweW9lhB7sOXKvk/qMqKl+qR6xZnq4mAIJhRzFancOlXs39el91kReMbKs7jNSGrwMpCH+NcC2LxmNcLprRlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:02:37.162499Z"},"content_sha256":"40ccc9a012e30ac8c6d50c31dbc25fdab1c76d518b1b6ca9987217ea9884cc86","schema_version":"1.0","event_id":"sha256:40ccc9a012e30ac8c6d50c31dbc25fdab1c76d518b1b6ca9987217ea9884cc86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/bundle.json","state_url":"https://pith.science/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T22:02:37Z","links":{"resolver":"https://pith.science/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW","bundle":"https://pith.science/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/bundle.json","state":"https://pith.science/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MT4AUUQJZUOGTUKP5BHHE5WKKW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MT4AUUQJZUOGTUKP5BHHE5WKKW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"69f42776294ba8dcd47386e665c0c36cdf7dbcd92bd79efcd867c29e6c85f5d0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T05:23:02Z","title_canon_sha256":"c3532699e9756a4c75f8827051a0af690755b901021a1b725f769c02eb876ebd"},"schema_version":"1.0","source":{"id":"2507.18099","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18099","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18099v1","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18099","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"MT4AUUQJZUOG","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"MT4AUUQJZUOGTUKP","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"MT4AUUQJ","created_at":"2026-07-05T11:42:41Z"}],"graph_snapshots":[{"event_id":"sha256:40ccc9a012e30ac8c6d50c31dbc25fdab1c76d518b1b6ca9987217ea9884cc86","target":"graph","created_at":"2026-07-05T11:42:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.18099/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Land Use Land Cover (LULC) mapping is essential for urban and resource planning, and is one of the key elements in developing smart and sustainable cities.This study evaluates advanced LULC mapping techniques, focusing on Look-Up Table (LUT)-based Atmospheric Correction applied to Cartosat Multispectral (MX) sensor images, followed by supervised and semi-supervised learning models for LULC prediction. We explore DeeplabV3+ and Cross-Pseudo Supervision (CPS). The CPS model is further refined with dynamic weighting, enhancing pseudo-label reliability during training. This comprehensive approach ","authors_text":"Joel D Joy, Naman Srivastava, Rakshit Ramesh, Swarup E, Yash Dixit","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T05:23:02Z","title":"Comparison of Segmentation Methods in Remote Sensing for Land Use Land Cover"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18099","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:00e3029aadd6fc05a279227c9e429f5a2ffb8884306d045ace65c084954ebb8b","target":"record","created_at":"2026-07-05T11:42:41Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"69f42776294ba8dcd47386e665c0c36cdf7dbcd92bd79efcd867c29e6c85f5d0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T05:23:02Z","title_canon_sha256":"c3532699e9756a4c75f8827051a0af690755b901021a1b725f769c02eb876ebd"},"schema_version":"1.0","source":{"id":"2507.18099","kind":"arxiv","version":1}},"canonical_sha256":"64f80a5209cd1c69d14fe84e7276ca55aefca048c8a9c324baa2af4a3956f033","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64f80a5209cd1c69d14fe84e7276ca55aefca048c8a9c324baa2af4a3956f033","first_computed_at":"2026-07-05T11:42:41.475663Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:41.475663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T8oz2VNWsr1oe9qmjliolG9IY4x9SW4qHnJntpRNiWH68wg7Ynf25zykfGeXQtbYV4xb5VzZaWHU3YwkfZmxDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:41.476113Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18099","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00e3029aadd6fc05a279227c9e429f5a2ffb8884306d045ace65c084954ebb8b","sha256:40ccc9a012e30ac8c6d50c31dbc25fdab1c76d518b1b6ca9987217ea9884cc86"],"state_sha256":"394789de2e58599a807b6f88ef071362d062c997bc78901bce083e3663faa181"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c+PvEVDwzMDmmcJyfKmzmT/YbFdU48+qq7ksfdeECQ9q1sEfF/Bc47z+vMafXZsXIyCII0i+Y8pTzDa7fpZOBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T22:02:37.167389Z","bundle_sha256":"a98387272dab9f885399351fc41ae11c81200b6c729ab19005712d3d8a09b9a4"}}