{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3655UIZALAKQF4CVX2NNHKTUOK","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":"ceb46c8c99224f5ce5bc651484befa1d972b1ab59545d99bcfe087e08de0fee8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-18T00:01:27Z","title_canon_sha256":"6080c2a7d4d2ac769815d14a9eb75747cd301193cba56eec759b7dd50c51a290"},"schema_version":"1.0","source":{"id":"2105.08205","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.08205","created_at":"2026-07-05T02:40:52Z"},{"alias_kind":"arxiv_version","alias_value":"2105.08205v1","created_at":"2026-07-05T02:40:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.08205","created_at":"2026-07-05T02:40:52Z"},{"alias_kind":"pith_short_12","alias_value":"3655UIZALAKQ","created_at":"2026-07-05T02:40:52Z"},{"alias_kind":"pith_short_16","alias_value":"3655UIZALAKQF4CV","created_at":"2026-07-05T02:40:52Z"},{"alias_kind":"pith_short_8","alias_value":"3655UIZA","created_at":"2026-07-05T02:40:52Z"}],"graph_snapshots":[{"event_id":"sha256:044e1f8ba5af116a23d5c71f7dbf4ac8ffce2e908ba3726d54fa2502c30c9723","target":"graph","created_at":"2026-07-05T02:40:52Z","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/2105.08205/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video using a low-speed camera is considered in this work, in which multiple (B) video frames can be reconstructed from a snapshot measurement. One research gap in previous studies is how to adapt B in the video SCI system for different scenes. In this paper, we fill this gap utilizing reinforcement learning (RL). An RL model, as well as various convolutional neural networks for reconstruction, are learned to achieve adap","authors_text":"Aggelos K Katsaggelos, Sidi Lu, Weisong Shi, Xin Yuan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-18T00:01:27Z","title":"Reinforcement Learning for Adaptive Video Compressive Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.08205","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:d2827c1ad987012df3446f99e2bfe6a7e779b9d5fb2a5e727cb5f8cd66c1164c","target":"record","created_at":"2026-07-05T02:40:52Z","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":"ceb46c8c99224f5ce5bc651484befa1d972b1ab59545d99bcfe087e08de0fee8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-05-18T00:01:27Z","title_canon_sha256":"6080c2a7d4d2ac769815d14a9eb75747cd301193cba56eec759b7dd50c51a290"},"schema_version":"1.0","source":{"id":"2105.08205","kind":"arxiv","version":1}},"canonical_sha256":"dfbbda2320581502f055be9ad3aa7472a635a42843f2a5b2e8fe9424d71ca00e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dfbbda2320581502f055be9ad3aa7472a635a42843f2a5b2e8fe9424d71ca00e","first_computed_at":"2026-07-05T02:40:52.767400Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:40:52.767400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8LtAhzyXBhMjNOpLt0nQi5RmL96BBRMDUnHZTBAaDgtiCDi/WSWJJuoxf/wZOUwlglnrX3zLPHhJpWoEwzgmDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:40:52.767808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.08205","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2827c1ad987012df3446f99e2bfe6a7e779b9d5fb2a5e727cb5f8cd66c1164c","sha256:044e1f8ba5af116a23d5c71f7dbf4ac8ffce2e908ba3726d54fa2502c30c9723"],"state_sha256":"73aa5d1f0b8a1141ad29cfbd98a527033525121de33d6cbe1e8f85e93ca8eaab"}