{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:E3VDR76BK3BUQ56BOYM25GD3RN","short_pith_number":"pith:E3VDR76B","canonical_record":{"source":{"id":"2407.19736","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T06:56:57Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"860e3ac49c949ee831d15e7b01fb96080e82fc3cb1af7478db9d249d22b4f19f","abstract_canon_sha256":"103156f6188387eac614e78c33582e4cd1b0132c91b0a4376d14087485c4bedc"},"schema_version":"1.0"},"canonical_sha256":"26ea38ffc156c34877c17619ae987b8b4ef76db1344e8f4ff3c52ec58a8e5e98","source":{"kind":"arxiv","id":"2407.19736","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19736","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19736v1","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19736","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_12","alias_value":"E3VDR76BK3BU","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_16","alias_value":"E3VDR76BK3BUQ56B","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_8","alias_value":"E3VDR76B","created_at":"2026-07-05T08:49:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:E3VDR76BK3BUQ56BOYM25GD3RN","target":"record","payload":{"canonical_record":{"source":{"id":"2407.19736","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T06:56:57Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"860e3ac49c949ee831d15e7b01fb96080e82fc3cb1af7478db9d249d22b4f19f","abstract_canon_sha256":"103156f6188387eac614e78c33582e4cd1b0132c91b0a4376d14087485c4bedc"},"schema_version":"1.0"},"canonical_sha256":"26ea38ffc156c34877c17619ae987b8b4ef76db1344e8f4ff3c52ec58a8e5e98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:49:43.886396Z","signature_b64":"io6doDtsIGHORhnO89DjekETECPEyoP5xFbSCl8l1w17xa1BYW5Ml7vKLAgBcsilD3mVI1BQoKmE7rJXrmP4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26ea38ffc156c34877c17619ae987b8b4ef76db1344e8f4ff3c52ec58a8e5e98","last_reissued_at":"2026-07-05T08:49:43.885957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:49:43.885957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.19736","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:49:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pf1GpmgmGoHE0jfuHHe0WFycMYCKA/unlfW7Z2xF/dKzAq8hg1OBQ4yu3NXPgDJE16kFssiKgEJVN1jVJgdWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:01:49.400504Z"},"content_sha256":"85abae878b6280f4d7ea60134600881820503cacf2e17c76a65e018cb785dccc","schema_version":"1.0","event_id":"sha256:85abae878b6280f4d7ea60134600881820503cacf2e17c76a65e018cb785dccc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:E3VDR76BK3BUQ56BOYM25GD3RN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sensor Selection via GFlowNets: A Deep Generative Modeling Framework to Navigate Combinatorial Complexity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Athina Petropulu, Spilios Evmorfos, Zhaoyi Xu","submitted_at":"2024-07-29T06:56:57Z","abstract_excerpt":"The performance of sensor arrays in sensing and wireless communications improves with more elements, but this comes at the cost of increased energy consumption and hardware expense. This work addresses the challenge of selecting $k$ sensor elements from a set of $m$ to optimize a generic Quality-of-Service metric. Evaluating all $\\binom{m}{k}$ possible sensor subsets is impractical, leading to prior solutions using convex relaxations, greedy algorithms, and supervised learning approaches. The current paper proposes a new framework that employs deep generative modeling, treating sensor selectio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19736","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.19736/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:49:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1tAv6NoD7ZGs2rJxzljZLT8ymuBQz5K0FkTMqcHqn546MRgs2m2IVroIYveqr28Si8vmz5rRpwWih+FvH13OBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T06:01:49.400877Z"},"content_sha256":"1c2867730c421fa690f8146eb4bea4d67abd5571a8dd559bfb37279bca241c89","schema_version":"1.0","event_id":"sha256:1c2867730c421fa690f8146eb4bea4d67abd5571a8dd559bfb37279bca241c89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E3VDR76BK3BUQ56BOYM25GD3RN/bundle.json","state_url":"https://pith.science/pith/E3VDR76BK3BUQ56BOYM25GD3RN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E3VDR76BK3BUQ56BOYM25GD3RN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-09T06:01:49Z","links":{"resolver":"https://pith.science/pith/E3VDR76BK3BUQ56BOYM25GD3RN","bundle":"https://pith.science/pith/E3VDR76BK3BUQ56BOYM25GD3RN/bundle.json","state":"https://pith.science/pith/E3VDR76BK3BUQ56BOYM25GD3RN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E3VDR76BK3BUQ56BOYM25GD3RN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:E3VDR76BK3BUQ56BOYM25GD3RN","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":"103156f6188387eac614e78c33582e4cd1b0132c91b0a4376d14087485c4bedc","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T06:56:57Z","title_canon_sha256":"860e3ac49c949ee831d15e7b01fb96080e82fc3cb1af7478db9d249d22b4f19f"},"schema_version":"1.0","source":{"id":"2407.19736","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19736","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19736v1","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19736","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_12","alias_value":"E3VDR76BK3BU","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_16","alias_value":"E3VDR76BK3BUQ56B","created_at":"2026-07-05T08:49:43Z"},{"alias_kind":"pith_short_8","alias_value":"E3VDR76B","created_at":"2026-07-05T08:49:43Z"}],"graph_snapshots":[{"event_id":"sha256:1c2867730c421fa690f8146eb4bea4d67abd5571a8dd559bfb37279bca241c89","target":"graph","created_at":"2026-07-05T08:49:43Z","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/2407.19736/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The performance of sensor arrays in sensing and wireless communications improves with more elements, but this comes at the cost of increased energy consumption and hardware expense. This work addresses the challenge of selecting $k$ sensor elements from a set of $m$ to optimize a generic Quality-of-Service metric. Evaluating all $\\binom{m}{k}$ possible sensor subsets is impractical, leading to prior solutions using convex relaxations, greedy algorithms, and supervised learning approaches. The current paper proposes a new framework that employs deep generative modeling, treating sensor selectio","authors_text":"Athina Petropulu, Spilios Evmorfos, Zhaoyi Xu","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T06:56:57Z","title":"Sensor Selection via GFlowNets: A Deep Generative Modeling Framework to Navigate Combinatorial Complexity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19736","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":"sha256:85abae878b6280f4d7ea60134600881820503cacf2e17c76a65e018cb785dccc","target":"record","created_at":"2026-07-05T08:49:43Z","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":"103156f6188387eac614e78c33582e4cd1b0132c91b0a4376d14087485c4bedc","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-29T06:56:57Z","title_canon_sha256":"860e3ac49c949ee831d15e7b01fb96080e82fc3cb1af7478db9d249d22b4f19f"},"schema_version":"1.0","source":{"id":"2407.19736","kind":"arxiv","version":1}},"canonical_sha256":"26ea38ffc156c34877c17619ae987b8b4ef76db1344e8f4ff3c52ec58a8e5e98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26ea38ffc156c34877c17619ae987b8b4ef76db1344e8f4ff3c52ec58a8e5e98","first_computed_at":"2026-07-05T08:49:43.885957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:43.885957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"io6doDtsIGHORhnO89DjekETECPEyoP5xFbSCl8l1w17xa1BYW5Ml7vKLAgBcsilD3mVI1BQoKmE7rJXrmP4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:43.886396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.19736","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85abae878b6280f4d7ea60134600881820503cacf2e17c76a65e018cb785dccc","sha256:1c2867730c421fa690f8146eb4bea4d67abd5571a8dd559bfb37279bca241c89"],"state_sha256":"dd5615717a79f5500adfb8687c9ed09e86b52f2e0d0dce248b2ae21d3bfcda11"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WlyuO9P7XJhRpvx69yRuV75j8EhF4txhaXrbD/RoMdkNbWCWnPifKHrlX5d4/v19jAloofRMnUpsGp88eOxqAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T06:01:49.402871Z","bundle_sha256":"601fc9ec8f1e377169abd62607543f91e5150a4710592349e814da0ae3745267"}}