{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:M74VJSBFD64FRWYUIXZS64C6X7","short_pith_number":"pith:M74VJSBF","canonical_record":{"source":{"id":"2411.17747","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-11-25T11:36:30Z","cross_cats_sorted":[],"title_canon_sha256":"c3aecb515d08eb59dc44bb1adcb599b4997b58b64ab39d0b3847bea9ee262059","abstract_canon_sha256":"c3cf3b9a49678f53063c32feaafe3154133a849a799f10d3e371e8da68f6ff67"},"schema_version":"1.0"},"canonical_sha256":"67f954c8251fb858db1445f32f705ebfd015389f043f98ab939090929c83f95f","source":{"kind":"arxiv","id":"2411.17747","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17747","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17747v1","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17747","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_12","alias_value":"M74VJSBFD64F","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_16","alias_value":"M74VJSBFD64FRWYU","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_8","alias_value":"M74VJSBF","created_at":"2026-07-05T09:41:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:M74VJSBFD64FRWYUIXZS64C6X7","target":"record","payload":{"canonical_record":{"source":{"id":"2411.17747","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-11-25T11:36:30Z","cross_cats_sorted":[],"title_canon_sha256":"c3aecb515d08eb59dc44bb1adcb599b4997b58b64ab39d0b3847bea9ee262059","abstract_canon_sha256":"c3cf3b9a49678f53063c32feaafe3154133a849a799f10d3e371e8da68f6ff67"},"schema_version":"1.0"},"canonical_sha256":"67f954c8251fb858db1445f32f705ebfd015389f043f98ab939090929c83f95f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:41:06.138124Z","signature_b64":"oo3knRoZ52I1ShsTlBjJ76cggEjukIK8QMpR/sX+o2B8j7HLI6liFSeUuUZXi237yjvfr+rPSQgqtKcj/YbbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67f954c8251fb858db1445f32f705ebfd015389f043f98ab939090929c83f95f","last_reissued_at":"2026-07-05T09:41:06.137578Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:41:06.137578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.17747","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":"2026-07-05T09:41:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U1Q4HYRK5+39MkEuTQWC+4c+hoKIaVrBJbKeaLwwq9m16H3iKs61SDZpdkIj+Ba80/G0ZJDoDJOU2tsRmcpSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:50.222324Z"},"content_sha256":"78996a12c272347647ac568c310c9618dd2adf7cddcffa0538470b3acc58284e","schema_version":"1.0","event_id":"sha256:78996a12c272347647ac568c310c9618dd2adf7cddcffa0538470b3acc58284e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:M74VJSBFD64FRWYUIXZS64C6X7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"A. Lee Swindlehurst, Ly V. Nguyen, Markku Juntti, Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar","submitted_at":"2024-11-25T11:36:30Z","abstract_excerpt":"In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expressions for the gradients of the communications sum rate and sensing beampattern error with respect to the analog and digital precoders. Building on this, we develop a deep neural network as an unfolded version of the projected gradient ascent algorithm, which we refer to as UPGANet. This approach efficiently optimizes the communication-sensing performance tradeoff with fast convergence, enabled by the learned step si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17747","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/2411.17747/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":"2026-07-05T09:41:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MEYWu6G55jk4BaaD6W/XtyxzhIn1nSvpTclUH/vA+edg8ozl+6JDdypdnURZtHC4bkdtCPcWW+Avik59JXgFCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:50.222989Z"},"content_sha256":"9b973e5764e518e1c566067b5cceba512a9877215b2deac3681502704819ea60","schema_version":"1.0","event_id":"sha256:9b973e5764e518e1c566067b5cceba512a9877215b2deac3681502704819ea60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M74VJSBFD64FRWYUIXZS64C6X7/bundle.json","state_url":"https://pith.science/pith/M74VJSBFD64FRWYUIXZS64C6X7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M74VJSBFD64FRWYUIXZS64C6X7/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":"2026-08-07T08:19:50Z","links":{"resolver":"https://pith.science/pith/M74VJSBFD64FRWYUIXZS64C6X7","bundle":"https://pith.science/pith/M74VJSBFD64FRWYUIXZS64C6X7/bundle.json","state":"https://pith.science/pith/M74VJSBFD64FRWYUIXZS64C6X7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M74VJSBFD64FRWYUIXZS64C6X7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:M74VJSBFD64FRWYUIXZS64C6X7","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":"c3cf3b9a49678f53063c32feaafe3154133a849a799f10d3e371e8da68f6ff67","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-11-25T11:36:30Z","title_canon_sha256":"c3aecb515d08eb59dc44bb1adcb599b4997b58b64ab39d0b3847bea9ee262059"},"schema_version":"1.0","source":{"id":"2411.17747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17747","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17747v1","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17747","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_12","alias_value":"M74VJSBFD64F","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_16","alias_value":"M74VJSBFD64FRWYU","created_at":"2026-07-05T09:41:06Z"},{"alias_kind":"pith_short_8","alias_value":"M74VJSBF","created_at":"2026-07-05T09:41:06Z"}],"graph_snapshots":[{"event_id":"sha256:9b973e5764e518e1c566067b5cceba512a9877215b2deac3681502704819ea60","target":"graph","created_at":"2026-07-05T09:41:06Z","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/2411.17747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expressions for the gradients of the communications sum rate and sensing beampattern error with respect to the analog and digital precoders. Building on this, we develop a deep neural network as an unfolded version of the projected gradient ascent algorithm, which we refer to as UPGANet. This approach efficiently optimizes the communication-sensing performance tradeoff with fast convergence, enabled by the learned step si","authors_text":"A. Lee Swindlehurst, Ly V. Nguyen, Markku Juntti, Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-11-25T11:36:30Z","title":"Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17747","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":"sha256:78996a12c272347647ac568c310c9618dd2adf7cddcffa0538470b3acc58284e","target":"record","created_at":"2026-07-05T09:41:06Z","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":"c3cf3b9a49678f53063c32feaafe3154133a849a799f10d3e371e8da68f6ff67","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-11-25T11:36:30Z","title_canon_sha256":"c3aecb515d08eb59dc44bb1adcb599b4997b58b64ab39d0b3847bea9ee262059"},"schema_version":"1.0","source":{"id":"2411.17747","kind":"arxiv","version":1}},"canonical_sha256":"67f954c8251fb858db1445f32f705ebfd015389f043f98ab939090929c83f95f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67f954c8251fb858db1445f32f705ebfd015389f043f98ab939090929c83f95f","first_computed_at":"2026-07-05T09:41:06.137578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:06.137578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oo3knRoZ52I1ShsTlBjJ76cggEjukIK8QMpR/sX+o2B8j7HLI6liFSeUuUZXi237yjvfr+rPSQgqtKcj/YbbBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:06.138124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78996a12c272347647ac568c310c9618dd2adf7cddcffa0538470b3acc58284e","sha256:9b973e5764e518e1c566067b5cceba512a9877215b2deac3681502704819ea60"],"state_sha256":"f4b1565a7cc845ba7464f918e8b6561acae8971e72b13c8166bed6f162bb6cae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HiFLZO2zkJyBravf8YpKQXCc0/m7n3XX1nVXW3ppMCk+ktXYMJYydyaG7yFp+157Ftn+kl7fzMc7mZXnCX0aCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:19:50.228713Z","bundle_sha256":"b7a15833a3bf6f6c50778b73941bc551baf6b62c5833b7ac1f060e423d96e226"}}