{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RWYUDVQEZ7U3L5T5TWAXL2BWDD","short_pith_number":"pith:RWYUDVQE","canonical_record":{"source":{"id":"2607.08191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T07:46:20Z","cross_cats_sorted":[],"title_canon_sha256":"6e0f0d0b2f52bb2c8e70f5b09d6653abbdd0ff0f532062dd4ebe4a48dec52f2a","abstract_canon_sha256":"720875ec34fcf588e9df13de8f5012058de2d3a42b4802819268dbdd0fca4643"},"schema_version":"1.0"},"canonical_sha256":"8db141d604cfe9b5f67d9d8175e83618c28517db333d4f532221f3f36b14ec08","source":{"kind":"arxiv","id":"2607.08191","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08191","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08191v1","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08191","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"RWYUDVQEZ7U3","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"RWYUDVQEZ7U3L5T5","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"RWYUDVQE","created_at":"2026-07-10T01:19:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RWYUDVQEZ7U3L5T5TWAXL2BWDD","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T07:46:20Z","cross_cats_sorted":[],"title_canon_sha256":"6e0f0d0b2f52bb2c8e70f5b09d6653abbdd0ff0f532062dd4ebe4a48dec52f2a","abstract_canon_sha256":"720875ec34fcf588e9df13de8f5012058de2d3a42b4802819268dbdd0fca4643"},"schema_version":"1.0"},"canonical_sha256":"8db141d604cfe9b5f67d9d8175e83618c28517db333d4f532221f3f36b14ec08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:29.300174Z","signature_b64":"vErSCx7ZKrGbNXkzHlipURcp2k52joFPDl1KgosAVnEqOt1yjgH4Jgy40AXQACzeINqpdY735kq+SKWArP9mDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8db141d604cfe9b5f67d9d8175e83618c28517db333d4f532221f3f36b14ec08","last_reissued_at":"2026-07-10T01:19:29.299668Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:29.299668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08191","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":"2026-07-10T01:19:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"caLeYJs/XtWa32iLL5qpI+DahuZbIJc1o4hh88G4xhfvwes4TG0Khj53TIGuGP6MJEOVfTxdpijZp42U1v7MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:58.189856Z"},"content_sha256":"df121197e8c5b7cb68c78b2ba6594e0148d1ef02972f8425f546a70eebe95c2f","schema_version":"1.0","event_id":"sha256:df121197e8c5b7cb68c78b2ba6594e0148d1ef02972f8425f546a70eebe95c2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RWYUDVQEZ7U3L5T5TWAXL2BWDD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Luo, Chenglong Li, Qishun Wang, Yapeng Li, Zhengzheng Tu","submitted_at":"2026-07-09T07:46:20Z","abstract_excerpt":"RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability to overcome the limitations of conventional RGB-based VOD under challenging conditions. However, spatial misalignment commonly exists between RGBT image pairs. To address this, we propose a Dual-Correlation Hypergraph Network (DHNet) that captures high-dimensional complementary information by explicitly modeling two types of correlations: temporal correlation across consecutive frames and spatial correlation from cross-modal features. Specifically, we first design a Patch-based Spatial Alignment "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08191","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/2607.08191/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":"2026-07-10T01:19:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q4WtlvCxT9lJjeap3sQKY5CGrW3+VeGBvEc13iCgdvemN9BlWeEWaLaKdsw/tFqzsmSkb2qPN1kuH/9PoTC0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:58.190350Z"},"content_sha256":"85130b6c27de74bfe5efe8adcc4ed56251742da62365bbc4af6e3acc77ff9063","schema_version":"1.0","event_id":"sha256:85130b6c27de74bfe5efe8adcc4ed56251742da62365bbc4af6e3acc77ff9063"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/bundle.json","state_url":"https://pith.science/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/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":"2026-08-15T00:23:58Z","links":{"resolver":"https://pith.science/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD","bundle":"https://pith.science/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/bundle.json","state":"https://pith.science/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWYUDVQEZ7U3L5T5TWAXL2BWDD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RWYUDVQEZ7U3L5T5TWAXL2BWDD","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":"720875ec34fcf588e9df13de8f5012058de2d3a42b4802819268dbdd0fca4643","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T07:46:20Z","title_canon_sha256":"6e0f0d0b2f52bb2c8e70f5b09d6653abbdd0ff0f532062dd4ebe4a48dec52f2a"},"schema_version":"1.0","source":{"id":"2607.08191","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08191","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08191v1","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08191","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_12","alias_value":"RWYUDVQEZ7U3","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_16","alias_value":"RWYUDVQEZ7U3L5T5","created_at":"2026-07-10T01:19:29Z"},{"alias_kind":"pith_short_8","alias_value":"RWYUDVQE","created_at":"2026-07-10T01:19:29Z"}],"graph_snapshots":[{"event_id":"sha256:85130b6c27de74bfe5efe8adcc4ed56251742da62365bbc4af6e3acc77ff9063","target":"graph","created_at":"2026-07-10T01:19:29Z","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/2607.08191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability to overcome the limitations of conventional RGB-based VOD under challenging conditions. However, spatial misalignment commonly exists between RGBT image pairs. To address this, we propose a Dual-Correlation Hypergraph Network (DHNet) that captures high-dimensional complementary information by explicitly modeling two types of correlations: temporal correlation across consecutive frames and spatial correlation from cross-modal features. Specifically, we first design a Patch-based Spatial Alignment ","authors_text":"Bin Luo, Chenglong Li, Qishun Wang, Yapeng Li, Zhengzheng Tu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T07:46:20Z","title":"Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08191","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:df121197e8c5b7cb68c78b2ba6594e0148d1ef02972f8425f546a70eebe95c2f","target":"record","created_at":"2026-07-10T01:19:29Z","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":"720875ec34fcf588e9df13de8f5012058de2d3a42b4802819268dbdd0fca4643","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T07:46:20Z","title_canon_sha256":"6e0f0d0b2f52bb2c8e70f5b09d6653abbdd0ff0f532062dd4ebe4a48dec52f2a"},"schema_version":"1.0","source":{"id":"2607.08191","kind":"arxiv","version":1}},"canonical_sha256":"8db141d604cfe9b5f67d9d8175e83618c28517db333d4f532221f3f36b14ec08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8db141d604cfe9b5f67d9d8175e83618c28517db333d4f532221f3f36b14ec08","first_computed_at":"2026-07-10T01:19:29.299668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:29.299668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vErSCx7ZKrGbNXkzHlipURcp2k52joFPDl1KgosAVnEqOt1yjgH4Jgy40AXQACzeINqpdY735kq+SKWArP9mDA==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:29.300174Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08191","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df121197e8c5b7cb68c78b2ba6594e0148d1ef02972f8425f546a70eebe95c2f","sha256:85130b6c27de74bfe5efe8adcc4ed56251742da62365bbc4af6e3acc77ff9063"],"state_sha256":"33fe15a4ebec7684e95ba26f36b06ab06f34cddbd40a9b1abe386f4b272a2f55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wCWvnQKd9Fwjz4SjFrVuqCdtGItTiwGe9OUsxoVJxrteHtujOALxuyIJSTdzPzbcQDLUrIXxE6hQPSv0xx9dBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:23:58.193517Z","bundle_sha256":"bb312f3749fb82b15e0a5149fae729ac140fa1d760fb8a13749a501e21d5696b"}}