{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:767ZHNLBXHODZ6PSUVHWU2NKMG","short_pith_number":"pith:767ZHNLB","schema_version":"1.0","canonical_sha256":"ffbf93b561b9dc3cf9f2a54f6a69aa61b9cce129b0427daf5fbf4f1732f9dfd1","source":{"kind":"arxiv","id":"2501.11263","version":1},"attestation_state":"computed","paper":{"title":"Towards Loss-Resilient Image Coding for Unstable Satellite Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Hao Chen, Hongwei Sha, Ming Lu, Muchen Dong, Quanyou Luo, Zhan Ma","submitted_at":"2025-01-20T04:11:09Z","abstract_excerpt":"Geostationary Earth Orbit (GEO) satellite communication demonstrates significant advantages in emergency short burst data services. However, unstable satellite networks, particularly those with frequent packet loss, present a severe challenge to accurate image transmission. To address it, we propose a loss-resilient image coding approach that leverages end-to-end optimization in learned image compression (LIC). Our method builds on the channel-wise progressive coding framework, incorporating Spatial-Channel Rearrangement (SCR) on the encoder side and Mask Conditional Aggregation (MCA) on the d"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.11263","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-20T04:11:09Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"117d193200a903b94127f8dea43d4329c8ab537e93e0ad213c950181ba725995","abstract_canon_sha256":"1c3eb5888be85ed124bc229f4b7f7e63bec6c2c8a90310eca2e100b13d675197"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:05.956130Z","signature_b64":"XCIJaXXpJ1IYFHUr3qBI1OQXFvybC0OiLb5zMcPK9jkXrDR1v1kGnMCkXIqe5aHK6wgKHe8x+pAQzVDvTCgqDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffbf93b561b9dc3cf9f2a54f6a69aa61b9cce129b0427daf5fbf4f1732f9dfd1","last_reissued_at":"2026-07-05T10:03:05.955669Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:05.955669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Loss-Resilient Image Coding for Unstable Satellite Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Hao Chen, Hongwei Sha, Ming Lu, Muchen Dong, Quanyou Luo, Zhan Ma","submitted_at":"2025-01-20T04:11:09Z","abstract_excerpt":"Geostationary Earth Orbit (GEO) satellite communication demonstrates significant advantages in emergency short burst data services. However, unstable satellite networks, particularly those with frequent packet loss, present a severe challenge to accurate image transmission. To address it, we propose a loss-resilient image coding approach that leverages end-to-end optimization in learned image compression (LIC). Our method builds on the channel-wise progressive coding framework, incorporating Spatial-Channel Rearrangement (SCR) on the encoder side and Mask Conditional Aggregation (MCA) on the d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11263","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/2501.11263/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.11263","created_at":"2026-07-05T10:03:05.955728+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.11263v1","created_at":"2026-07-05T10:03:05.955728+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11263","created_at":"2026-07-05T10:03:05.955728+00:00"},{"alias_kind":"pith_short_12","alias_value":"767ZHNLBXHOD","created_at":"2026-07-05T10:03:05.955728+00:00"},{"alias_kind":"pith_short_16","alias_value":"767ZHNLBXHODZ6PS","created_at":"2026-07-05T10:03:05.955728+00:00"},{"alias_kind":"pith_short_8","alias_value":"767ZHNLB","created_at":"2026-07-05T10:03:05.955728+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG","json":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG.json","graph_json":"https://pith.science/api/pith-number/767ZHNLBXHODZ6PSUVHWU2NKMG/graph.json","events_json":"https://pith.science/api/pith-number/767ZHNLBXHODZ6PSUVHWU2NKMG/events.json","paper":"https://pith.science/paper/767ZHNLB"},"agent_actions":{"view_html":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG","download_json":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG.json","view_paper":"https://pith.science/paper/767ZHNLB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.11263&json=true","fetch_graph":"https://pith.science/api/pith-number/767ZHNLBXHODZ6PSUVHWU2NKMG/graph.json","fetch_events":"https://pith.science/api/pith-number/767ZHNLBXHODZ6PSUVHWU2NKMG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG/action/storage_attestation","attest_author":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG/action/author_attestation","sign_citation":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG/action/citation_signature","submit_replication":"https://pith.science/pith/767ZHNLBXHODZ6PSUVHWU2NKMG/action/replication_record"}},"created_at":"2026-07-05T10:03:05.955728+00:00","updated_at":"2026-07-05T10:03:05.955728+00:00"}