{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GATOD6N7LMNI6SMZ4TB3AAJARD","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":"2362d38e6244375fb3b28b6b566988073735c83a743ca45b91756c1575f1e7ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-13T08:55:53Z","title_canon_sha256":"46748a8050ecc7640bf2338a5ba78170258f69edf05722775cf70c798b904ea1"},"schema_version":"1.0","source":{"id":"2202.06263","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.06263","created_at":"2026-07-05T07:13:18Z"},{"alias_kind":"arxiv_version","alias_value":"2202.06263v1","created_at":"2026-07-05T07:13:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.06263","created_at":"2026-07-05T07:13:18Z"},{"alias_kind":"pith_short_12","alias_value":"GATOD6N7LMNI","created_at":"2026-07-05T07:13:18Z"},{"alias_kind":"pith_short_16","alias_value":"GATOD6N7LMNI6SMZ","created_at":"2026-07-05T07:13:18Z"},{"alias_kind":"pith_short_8","alias_value":"GATOD6N7","created_at":"2026-07-05T07:13:18Z"}],"graph_snapshots":[{"event_id":"sha256:f7af54da28492233549602a0c725921776c9720af95436255247c8ef7f8b1bdf","target":"graph","created_at":"2026-07-05T07:13:18Z","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/2202.06263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Compared with traditional task-irrelevant downsampling methods, task-oriented neural networks have shown improved performance in point cloud downsampling range. Recently, Transformer family of networks has shown a more powerful learning capacity in visual tasks. However, Transformer-based architectures potentially consume too many resources which are usually worthless for low overhead task networks in downsampling range. This paper proposes a novel light-weight Transformer network (LighTN) for task-oriented point cloud downsampling, as an end-to-end and plug-and-play solution. In LighTN, a sin","authors_text":"Bowen Tang, Tao Wang, Xu Wang, Yidong Li, Yigang Cen, Yi Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-13T08:55:53Z","title":"LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.06263","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":"sha256:49e4ac2478357a0fc804680f7c935e5822ddd4e8e0a9e78cd96c1552deaa344f","target":"record","created_at":"2026-07-05T07:13:18Z","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":"2362d38e6244375fb3b28b6b566988073735c83a743ca45b91756c1575f1e7ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-13T08:55:53Z","title_canon_sha256":"46748a8050ecc7640bf2338a5ba78170258f69edf05722775cf70c798b904ea1"},"schema_version":"1.0","source":{"id":"2202.06263","kind":"arxiv","version":1}},"canonical_sha256":"3026e1f9bf5b1a8f4999e4c3b0012088c945016280292c939527867507a479ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3026e1f9bf5b1a8f4999e4c3b0012088c945016280292c939527867507a479ad","first_computed_at":"2026-07-05T07:13:18.927778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:18.927778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LV9jkZsb2bGEtqY4oIHHeK82HmZCYA2oAy+nDlOv/WrZwuLS3HqwdyJgsHAFU9Z0/GVD14sgxqLLm0lrO8AYDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:18.928331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.06263","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49e4ac2478357a0fc804680f7c935e5822ddd4e8e0a9e78cd96c1552deaa344f","sha256:f7af54da28492233549602a0c725921776c9720af95436255247c8ef7f8b1bdf"],"state_sha256":"6d0ab153c85c64193b753e7b9e9651973517db2383b22984197b5a0713398f90"}