{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:44HPPBQGD6ZCG4RR6335R6KN5L","short_pith_number":"pith:44HPPBQG","canonical_record":{"source":{"id":"2507.20259","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T13:06:32Z","cross_cats_sorted":[],"title_canon_sha256":"3ef23885c231041442252153c9712049711dbc518eb244c56d16b0f69d915d62","abstract_canon_sha256":"7dc737e3fa4c419ff958658dc19eb5e8fe2092fad7caff409df988162c4b4352"},"schema_version":"1.0"},"canonical_sha256":"e70ef786061fb2237231f6f7d8f94deac8bf53dfb7148a24e881380ff7ed10d4","source":{"kind":"arxiv","id":"2507.20259","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20259","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20259v1","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20259","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"44HPPBQGD6ZC","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"44HPPBQGD6ZCG4RR","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"44HPPBQG","created_at":"2026-07-05T11:44:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:44HPPBQGD6ZCG4RR6335R6KN5L","target":"record","payload":{"canonical_record":{"source":{"id":"2507.20259","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T13:06:32Z","cross_cats_sorted":[],"title_canon_sha256":"3ef23885c231041442252153c9712049711dbc518eb244c56d16b0f69d915d62","abstract_canon_sha256":"7dc737e3fa4c419ff958658dc19eb5e8fe2092fad7caff409df988162c4b4352"},"schema_version":"1.0"},"canonical_sha256":"e70ef786061fb2237231f6f7d8f94deac8bf53dfb7148a24e881380ff7ed10d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:15.948614Z","signature_b64":"oEThp2KyDeYN4/JQNs2slnYYZwMNJq0X9f14w+oSH66sfpN0/90PVeZjokG+IVuBUraixsLMcXshijxqXidTCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e70ef786061fb2237231f6f7d8f94deac8bf53dfb7148a24e881380ff7ed10d4","last_reissued_at":"2026-07-05T11:44:15.948155Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:15.948155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.20259","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":"2026-07-05T11:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"81D9dHY8e0VgogFYPpe502kmQCmi5eBlBBF4sOI1PZH+X+E0pX7rwcviIvx0NKZor5/tx1weqi8wZorENux/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:32:48.545799Z"},"content_sha256":"274473b8e74fd107b2e17b760fdb67f54e031d4e668da3fe490e450e4d70ace1","schema_version":"1.0","event_id":"sha256:274473b8e74fd107b2e17b760fdb67f54e031d4e668da3fe490e450e4d70ace1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:44HPPBQGD6ZCG4RR6335R6KN5L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mitul Goswami, Mrinal Goswami","submitted_at":"2025-07-27T13:06:32Z","abstract_excerpt":"We propose the Lightweight Multimodal Contrastive Attention Transformer (L-MCAT), a novel transformer-based framework for label-efficient remote sensing image classification using unpaired multimodal satellite data. L-MCAT introduces two core innovations: (1) Modality-Spectral Adapters (MSA) that compress high-dimensional sensor inputs into a unified embedding space, and (2) Unpaired Multimodal Attention Alignment (U-MAA), a contrastive self-supervised mechanism integrated into the attention layers to align heterogeneous modalities without pixel-level correspondence or labels. L-MCAT achieves "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20259","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/2507.20259/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":"2026-07-05T11:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2z2f5hdypnPBFNDiK2rr4+Kpii5HgWCb3Q9k3lueLcBkvp6FRnf8Ohb3ktD4oFvcmO/H7Jvt6FgBMvpGoOS7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:32:48.546129Z"},"content_sha256":"8ad50e67bcf43ce36fece6a25e3f1ca0204c50fcbec1b4f1821193225323713f","schema_version":"1.0","event_id":"sha256:8ad50e67bcf43ce36fece6a25e3f1ca0204c50fcbec1b4f1821193225323713f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/44HPPBQGD6ZCG4RR6335R6KN5L/bundle.json","state_url":"https://pith.science/pith/44HPPBQGD6ZCG4RR6335R6KN5L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/44HPPBQGD6ZCG4RR6335R6KN5L/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":"2026-08-24T02:32:48Z","links":{"resolver":"https://pith.science/pith/44HPPBQGD6ZCG4RR6335R6KN5L","bundle":"https://pith.science/pith/44HPPBQGD6ZCG4RR6335R6KN5L/bundle.json","state":"https://pith.science/pith/44HPPBQGD6ZCG4RR6335R6KN5L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/44HPPBQGD6ZCG4RR6335R6KN5L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:44HPPBQGD6ZCG4RR6335R6KN5L","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":"7dc737e3fa4c419ff958658dc19eb5e8fe2092fad7caff409df988162c4b4352","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T13:06:32Z","title_canon_sha256":"3ef23885c231041442252153c9712049711dbc518eb244c56d16b0f69d915d62"},"schema_version":"1.0","source":{"id":"2507.20259","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20259","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20259v1","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20259","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"44HPPBQGD6ZC","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"44HPPBQGD6ZCG4RR","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"44HPPBQG","created_at":"2026-07-05T11:44:15Z"}],"graph_snapshots":[{"event_id":"sha256:8ad50e67bcf43ce36fece6a25e3f1ca0204c50fcbec1b4f1821193225323713f","target":"graph","created_at":"2026-07-05T11:44:15Z","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/2507.20259/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose the Lightweight Multimodal Contrastive Attention Transformer (L-MCAT), a novel transformer-based framework for label-efficient remote sensing image classification using unpaired multimodal satellite data. L-MCAT introduces two core innovations: (1) Modality-Spectral Adapters (MSA) that compress high-dimensional sensor inputs into a unified embedding space, and (2) Unpaired Multimodal Attention Alignment (U-MAA), a contrastive self-supervised mechanism integrated into the attention layers to align heterogeneous modalities without pixel-level correspondence or labels. L-MCAT achieves ","authors_text":"Mitul Goswami, Mrinal Goswami","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T13:06:32Z","title":"L-MCAT: Unpaired Multimodal Transformer with Contrastive Attention for Label-Efficient Satellite Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20259","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":"sha256:274473b8e74fd107b2e17b760fdb67f54e031d4e668da3fe490e450e4d70ace1","target":"record","created_at":"2026-07-05T11:44:15Z","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":"7dc737e3fa4c419ff958658dc19eb5e8fe2092fad7caff409df988162c4b4352","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T13:06:32Z","title_canon_sha256":"3ef23885c231041442252153c9712049711dbc518eb244c56d16b0f69d915d62"},"schema_version":"1.0","source":{"id":"2507.20259","kind":"arxiv","version":1}},"canonical_sha256":"e70ef786061fb2237231f6f7d8f94deac8bf53dfb7148a24e881380ff7ed10d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e70ef786061fb2237231f6f7d8f94deac8bf53dfb7148a24e881380ff7ed10d4","first_computed_at":"2026-07-05T11:44:15.948155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:15.948155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oEThp2KyDeYN4/JQNs2slnYYZwMNJq0X9f14w+oSH66sfpN0/90PVeZjokG+IVuBUraixsLMcXshijxqXidTCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:15.948614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.20259","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:274473b8e74fd107b2e17b760fdb67f54e031d4e668da3fe490e450e4d70ace1","sha256:8ad50e67bcf43ce36fece6a25e3f1ca0204c50fcbec1b4f1821193225323713f"],"state_sha256":"6a5d0a4fb01e9d99afcbc1becb8a74cebd0a11f7658fa3ebd6e3f22187bb7c92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uwKgbELXjAfra0KQR6bef/gdzP5jTpMVbO85eOCy99mGV8AYBVBppwEbRIdd7/cz7zR53q4zWAAFRZv7x0RTDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T02:32:48.549119Z","bundle_sha256":"822ecd5cc9618e71d9e4f87e6ba5e19406ddb69cdd5488d97350a05eb10f0848"}}