{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5E6HTMYOKJ2RSLJ5THASVEHJ6Y","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":"21b8cea4687735d663897dc9ac4a85f124fb5ba1168eca3cc7310a4a1f808364","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-16T13:37:45Z","title_canon_sha256":"310452fde40990ec27fc026cb6416969699075bf9ff086f05fce89cdeff2ae1c"},"schema_version":"1.0","source":{"id":"2401.08360","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08360","created_at":"2026-07-05T08:22:36Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08360v2","created_at":"2026-07-05T08:22:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08360","created_at":"2026-07-05T08:22:36Z"},{"alias_kind":"pith_short_12","alias_value":"5E6HTMYOKJ2R","created_at":"2026-07-05T08:22:36Z"},{"alias_kind":"pith_short_16","alias_value":"5E6HTMYOKJ2RSLJ5","created_at":"2026-07-05T08:22:36Z"},{"alias_kind":"pith_short_8","alias_value":"5E6HTMYO","created_at":"2026-07-05T08:22:36Z"}],"graph_snapshots":[{"event_id":"sha256:ed97f354aaef2150dc63043e60152b37a04f4863a5f1f375294e6cc865f324cd","target":"graph","created_at":"2026-07-05T08:22:36Z","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/2401.08360/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep autoencoders have gained traction as a powerful method for implementing goal-oriented semantic communications systems. The idea is to train a mapping from the source domain directly to channel symbols, and vice versa. However, prior studies often focused on rate-distortion tradeoff and transmission delay, at the cost of increasing end-to-end complexity and thus latency. Moreover, the datasets used are often not reflective of real-world environments, and the results were not validated against real-world baseline systems, leading to an unfair comparison. In this paper, we study th","authors_text":"Qi Liao, Tze-Yang Tung","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-16T13:37:45Z","title":"AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08360","kind":"arxiv","version":2},"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":"sha256:79e3cf0825f5943022f5c8890de80578ab177df7d7cfaf456ca4e1cba56df996","target":"record","created_at":"2026-07-05T08:22:36Z","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":"21b8cea4687735d663897dc9ac4a85f124fb5ba1168eca3cc7310a4a1f808364","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-01-16T13:37:45Z","title_canon_sha256":"310452fde40990ec27fc026cb6416969699075bf9ff086f05fce89cdeff2ae1c"},"schema_version":"1.0","source":{"id":"2401.08360","kind":"arxiv","version":2}},"canonical_sha256":"e93c79b30e5275192d3d99c12a90e9f61877794acc9afd1b1755dba2600a99a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e93c79b30e5275192d3d99c12a90e9f61877794acc9afd1b1755dba2600a99a4","first_computed_at":"2026-07-05T08:22:36.114353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:36.114353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"75JS/sLjrX6u9xpIu4AuQL7cE8gGI47AwR11OKL+MQ5xnyDQyr6EsVwfzQWj42yZFqp1wbxWEHe0WbKPWmd8CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:36.114858Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08360","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79e3cf0825f5943022f5c8890de80578ab177df7d7cfaf456ca4e1cba56df996","sha256:ed97f354aaef2150dc63043e60152b37a04f4863a5f1f375294e6cc865f324cd"],"state_sha256":"430784062b63524848d5a7a21a2be111eed9c112644b8cb7aefdee0328b2966c"}