{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5J5W6KNKM3O5RHAUE6ONVR5Z4H","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":"086cfb5fed050f7da9b530f172b3c99387d04f3ad6b9f5856e8ab43a398f51aa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T09:53:25Z","title_canon_sha256":"d98e4902cabd802de27011d1ac9c4fc3dac5c7e4dfe6e48d8f8c990cec6e1b00"},"schema_version":"1.0","source":{"id":"2504.15751","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15751","created_at":"2026-07-05T10:52:29Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15751v1","created_at":"2026-07-05T10:52:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15751","created_at":"2026-07-05T10:52:29Z"},{"alias_kind":"pith_short_12","alias_value":"5J5W6KNKM3O5","created_at":"2026-07-05T10:52:29Z"},{"alias_kind":"pith_short_16","alias_value":"5J5W6KNKM3O5RHAU","created_at":"2026-07-05T10:52:29Z"},{"alias_kind":"pith_short_8","alias_value":"5J5W6KNK","created_at":"2026-07-05T10:52:29Z"}],"graph_snapshots":[{"event_id":"sha256:4032ad67ca8945538d2efae1379bc1ceeddfb1e77da3955394f0bbfff635fc14","target":"graph","created_at":"2026-07-05T10:52:29Z","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/2504.15751/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In human-computer interaction, head pose estimation profoundly influences application functionality. Although utilizing facial landmarks is valuable for this purpose, existing landmark-based methods prioritize precision over simplicity and model size, limiting their deployment on edge devices and in compute-poor environments. To bridge this gap, we propose \\textbf{Grouped Attention Deep Sets (GADS)}, a novel architecture based on the Deep Set framework. By grouping landmarks into regions and employing small Deep Set layers, we reduce computational complexity. Our multihead attention mechanism ","authors_text":"Asiri Gawesha, Dharshana Kasthurirathna, Menan Velayuthan, Nuwan Kodagoda, Pradeepa Samarasinghe, Purushoth Velayuthan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T09:53:25Z","title":"GADS: A Super Lightweight Model for Head Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15751","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:afaab504522c3e309a05ed87cfffbecdd825c8f94645905989d111c1688d1cd9","target":"record","created_at":"2026-07-05T10:52:29Z","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":"086cfb5fed050f7da9b530f172b3c99387d04f3ad6b9f5856e8ab43a398f51aa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T09:53:25Z","title_canon_sha256":"d98e4902cabd802de27011d1ac9c4fc3dac5c7e4dfe6e48d8f8c990cec6e1b00"},"schema_version":"1.0","source":{"id":"2504.15751","kind":"arxiv","version":1}},"canonical_sha256":"ea7b6f29aa66ddd89c14279cdac7b9e1f028b7e08687d61c6dce7f006cee3f78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea7b6f29aa66ddd89c14279cdac7b9e1f028b7e08687d61c6dce7f006cee3f78","first_computed_at":"2026-07-05T10:52:29.560545Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:29.560545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n0VVL9f5MGi1OZqGrM7keylux36ZMt6SbR4pjTD1To2Mc3L62i/Tr4tCiOvXyw0EMEu6QfKvNFZ7StRUxxqNCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:29.560965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15751","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afaab504522c3e309a05ed87cfffbecdd825c8f94645905989d111c1688d1cd9","sha256:4032ad67ca8945538d2efae1379bc1ceeddfb1e77da3955394f0bbfff635fc14"],"state_sha256":"e0eb6f78735da3ee5a2c21792a68b05a20dddf5ad26c0a8d45c8269be49577e8"}