{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DQBJ5IFEADR4ZXBH742C67P2B5","short_pith_number":"pith:DQBJ5IFE","canonical_record":{"source":{"id":"2312.12470","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T08:14:14Z","cross_cats_sorted":[],"title_canon_sha256":"7e2d4b23467ebfd9bb284f3da088c59a08285df4e633d509504dfa92b7f7cf38","abstract_canon_sha256":"3b35f1c1f03cebb81610dee2d3fbff0d5614794585c2c7ad4e0adbb74f74ef4b"},"schema_version":"1.0"},"canonical_sha256":"1c029ea0a400e3ccdc27ff342f7dfa0f6e51595b0208bb03dfb88181c359b972","source":{"kind":"arxiv","id":"2312.12470","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.12470","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"arxiv_version","alias_value":"2312.12470v3","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.12470","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_12","alias_value":"DQBJ5IFEADR4","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_16","alias_value":"DQBJ5IFEADR4ZXBH","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_8","alias_value":"DQBJ5IFE","created_at":"2026-07-05T08:03:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DQBJ5IFEADR4ZXBH742C67P2B5","target":"record","payload":{"canonical_record":{"source":{"id":"2312.12470","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T08:14:14Z","cross_cats_sorted":[],"title_canon_sha256":"7e2d4b23467ebfd9bb284f3da088c59a08285df4e633d509504dfa92b7f7cf38","abstract_canon_sha256":"3b35f1c1f03cebb81610dee2d3fbff0d5614794585c2c7ad4e0adbb74f74ef4b"},"schema_version":"1.0"},"canonical_sha256":"1c029ea0a400e3ccdc27ff342f7dfa0f6e51595b0208bb03dfb88181c359b972","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:03:09.350332Z","signature_b64":"cCFnK/bwmGmavOn6EdipmoKe7E9MLXK8wlojT2xqAaYiXSGsYrG9t7qslb34xrUL4987FR9DyeqD3nVJ77CsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c029ea0a400e3ccdc27ff342f7dfa0f6e51595b0208bb03dfb88181c359b972","last_reissued_at":"2026-07-05T08:03:09.349840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:03:09.349840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.12470","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:03:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZCvp4txoBPlJUs9beYQr0G3Pbb2sl9Xk1/1KrJaPlLMOsuy4eHwKctaUosMxikYEKtK23zeYhRY1UqKkhHKKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T06:04:59.053082Z"},"content_sha256":"f3fe7702d31934ca33cbaf22456c4720299e509c99f5cc8a8a87c01c99b7abac","schema_version":"1.0","event_id":"sha256:f3fe7702d31934ca33cbaf22456c4720299e509c99f5cc8a8a87c01c99b7abac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DQBJ5IFEADR4ZXBH742C67P2B5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haowei Wang, Jiayi Ji, Rongrong Ji, Sihan Liu, Xiaoqing Zhang, Xiaoshuai Sun, Yiwei Ma","submitted_at":"2023-12-19T08:14:14Z","abstract_excerpt":"Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial images as described by textual queries. Traditional Referring Image Segmentation (RIS) approaches have been impeded by the complex spatial scales and orientations found in aerial imagery, leading to suboptimal segmentation results. To address these challenges, we introduce the Rotated Multi-Scale Interaction Network (RMSIN), an innovative approach designed for the unique demands of RRSIS. RMSIN incorporates an Intra-scale I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.12470","kind":"arxiv","version":3},"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/2312.12470/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":"2026-07-05T08:03:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tfS1XYHOilb9InVPaKqjppejESxD4YuXKhqHodL9qKMOgsxo3iOgDDnd6apYxs3a+BoAsfGQeitZCKQKcExdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T06:04:59.053554Z"},"content_sha256":"4156f671d88b3d4acd2c4bfc3490838f100596b914fdd8d34005e600c048c672","schema_version":"1.0","event_id":"sha256:4156f671d88b3d4acd2c4bfc3490838f100596b914fdd8d34005e600c048c672"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQBJ5IFEADR4ZXBH742C67P2B5/bundle.json","state_url":"https://pith.science/pith/DQBJ5IFEADR4ZXBH742C67P2B5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQBJ5IFEADR4ZXBH742C67P2B5/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":"2026-07-08T06:04:59Z","links":{"resolver":"https://pith.science/pith/DQBJ5IFEADR4ZXBH742C67P2B5","bundle":"https://pith.science/pith/DQBJ5IFEADR4ZXBH742C67P2B5/bundle.json","state":"https://pith.science/pith/DQBJ5IFEADR4ZXBH742C67P2B5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQBJ5IFEADR4ZXBH742C67P2B5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DQBJ5IFEADR4ZXBH742C67P2B5","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":"3b35f1c1f03cebb81610dee2d3fbff0d5614794585c2c7ad4e0adbb74f74ef4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T08:14:14Z","title_canon_sha256":"7e2d4b23467ebfd9bb284f3da088c59a08285df4e633d509504dfa92b7f7cf38"},"schema_version":"1.0","source":{"id":"2312.12470","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.12470","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"arxiv_version","alias_value":"2312.12470v3","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.12470","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_12","alias_value":"DQBJ5IFEADR4","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_16","alias_value":"DQBJ5IFEADR4ZXBH","created_at":"2026-07-05T08:03:09Z"},{"alias_kind":"pith_short_8","alias_value":"DQBJ5IFE","created_at":"2026-07-05T08:03:09Z"}],"graph_snapshots":[{"event_id":"sha256:4156f671d88b3d4acd2c4bfc3490838f100596b914fdd8d34005e600c048c672","target":"graph","created_at":"2026-07-05T08:03:09Z","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/2312.12470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial images as described by textual queries. Traditional Referring Image Segmentation (RIS) approaches have been impeded by the complex spatial scales and orientations found in aerial imagery, leading to suboptimal segmentation results. To address these challenges, we introduce the Rotated Multi-Scale Interaction Network (RMSIN), an innovative approach designed for the unique demands of RRSIS. RMSIN incorporates an Intra-scale I","authors_text":"Haowei Wang, Jiayi Ji, Rongrong Ji, Sihan Liu, Xiaoqing Zhang, Xiaoshuai Sun, Yiwei Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T08:14:14Z","title":"Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.12470","kind":"arxiv","version":3},"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:f3fe7702d31934ca33cbaf22456c4720299e509c99f5cc8a8a87c01c99b7abac","target":"record","created_at":"2026-07-05T08:03:09Z","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":"3b35f1c1f03cebb81610dee2d3fbff0d5614794585c2c7ad4e0adbb74f74ef4b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-19T08:14:14Z","title_canon_sha256":"7e2d4b23467ebfd9bb284f3da088c59a08285df4e633d509504dfa92b7f7cf38"},"schema_version":"1.0","source":{"id":"2312.12470","kind":"arxiv","version":3}},"canonical_sha256":"1c029ea0a400e3ccdc27ff342f7dfa0f6e51595b0208bb03dfb88181c359b972","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c029ea0a400e3ccdc27ff342f7dfa0f6e51595b0208bb03dfb88181c359b972","first_computed_at":"2026-07-05T08:03:09.349840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:03:09.349840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cCFnK/bwmGmavOn6EdipmoKe7E9MLXK8wlojT2xqAaYiXSGsYrG9t7qslb34xrUL4987FR9DyeqD3nVJ77CsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:03:09.350332Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.12470","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3fe7702d31934ca33cbaf22456c4720299e509c99f5cc8a8a87c01c99b7abac","sha256:4156f671d88b3d4acd2c4bfc3490838f100596b914fdd8d34005e600c048c672"],"state_sha256":"2f1684a04c2c757535afbfef9fe1afef82d42c4bce20a67536a630809859a3e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S30BeWnhQFLVT5yeYZhV/0cKt+urEHya7Ez/CXu+JVXA8+Hr4wbyaoC17rUcMReiRbfTXFoIkFLvZ+6iq6iXBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T06:04:59.057071Z","bundle_sha256":"95fa4f13b0145f2a78e063755e2540014e217a204e2c6671cc0fa3aed635c527"}}