{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OXMKFPQ5EEHVOR2OKXZA7CG5ZB","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":"75a9825e0a2cdd795c3034d20c3ad1178d5aa92a1eadef2922088bb05a9a5238","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T15:17:49Z","title_canon_sha256":"0953abcecefb617ff4ae9dd24c3b558cfc15d9a972cfacd2d05782a007c6de27"},"schema_version":"1.0","source":{"id":"2412.10861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10861","created_at":"2026-07-05T09:49:23Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10861v1","created_at":"2026-07-05T09:49:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10861","created_at":"2026-07-05T09:49:23Z"},{"alias_kind":"pith_short_12","alias_value":"OXMKFPQ5EEHV","created_at":"2026-07-05T09:49:23Z"},{"alias_kind":"pith_short_16","alias_value":"OXMKFPQ5EEHVOR2O","created_at":"2026-07-05T09:49:23Z"},{"alias_kind":"pith_short_8","alias_value":"OXMKFPQ5","created_at":"2026-07-05T09:49:23Z"}],"graph_snapshots":[{"event_id":"sha256:663f011b8b4cd210c146e7fe7569cb5981e4616f594249a179cc327e058deb12","target":"graph","created_at":"2026-07-05T09:49:23Z","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/2412.10861/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, and overlook the complementary characteristics of tiny objects captured by multiple remote sensors. To enhance tracking performance by integrating complementary information from multiple sources, we propose a novel framework called {HGT-Track (Heterogeneous Graph Transformer based Multi-Tiny-Object Tracking)}. Specifically, we first employ a Transformer-based encoder to embed images from different modalities","authors_text":"Chao Ma, Chao Xiao, Longguang Wang, Qingyu Xu, Wei An, Weidong Sheng, Yingqian Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T15:17:49Z","title":"Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10861","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:afe42392b7c5fa1a7c30c8fec11f701fb803f12fe28674e42531de208e2aa03f","target":"record","created_at":"2026-07-05T09:49:23Z","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":"75a9825e0a2cdd795c3034d20c3ad1178d5aa92a1eadef2922088bb05a9a5238","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-14T15:17:49Z","title_canon_sha256":"0953abcecefb617ff4ae9dd24c3b558cfc15d9a972cfacd2d05782a007c6de27"},"schema_version":"1.0","source":{"id":"2412.10861","kind":"arxiv","version":1}},"canonical_sha256":"75d8a2be1d210f57474e55f20f88ddc85e0dfc116db50856bd25bacf06ba4cf7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75d8a2be1d210f57474e55f20f88ddc85e0dfc116db50856bd25bacf06ba4cf7","first_computed_at":"2026-07-05T09:49:23.665363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:23.665363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"InpCR7N8J2lakXJ2Rx6LRjrSivOB+eAwuUGv0aZZ4PRoyrNLNzaQkkpvY61RHvOi3h4IqNK/J59R8JaI8EjRCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:23.665857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afe42392b7c5fa1a7c30c8fec11f701fb803f12fe28674e42531de208e2aa03f","sha256:663f011b8b4cd210c146e7fe7569cb5981e4616f594249a179cc327e058deb12"],"state_sha256":"0b2bdf3d56a2c0272468e9e25346a19203c53e489d80b2dfcd1f0405ea78f86d"}