{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5F6V62CT4OY75C6RZU64OSQEHH","short_pith_number":"pith:5F6V62CT","canonical_record":{"source":{"id":"2301.01734","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-01-04T18:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"b6c9bf256946dd2644ab76a926ab6c159d6b226d57f9541364f5d4f483ecdbad","abstract_canon_sha256":"087c1dbfdaf52a155a998e85c4877b6735e1df7518241cab7d9e31ab57d36cd2"},"schema_version":"1.0"},"canonical_sha256":"e97d5f6853e3b1fe8bd1cd3dc74a0439d5efb8ff5734293be0323048d5763524","source":{"kind":"arxiv","id":"2301.01734","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01734","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01734v1","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01734","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_12","alias_value":"5F6V62CT4OY7","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_16","alias_value":"5F6V62CT4OY75C6R","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_8","alias_value":"5F6V62CT","created_at":"2026-07-05T05:30:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5F6V62CT4OY75C6RZU64OSQEHH","target":"record","payload":{"canonical_record":{"source":{"id":"2301.01734","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-01-04T18:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"b6c9bf256946dd2644ab76a926ab6c159d6b226d57f9541364f5d4f483ecdbad","abstract_canon_sha256":"087c1dbfdaf52a155a998e85c4877b6735e1df7518241cab7d9e31ab57d36cd2"},"schema_version":"1.0"},"canonical_sha256":"e97d5f6853e3b1fe8bd1cd3dc74a0439d5efb8ff5734293be0323048d5763524","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:40.189348Z","signature_b64":"xA7KkQeSWJ9+5Bei+PZjJKGw8YPjGIqFzKua+h6vDD8ou2FY5/jOYA/+0kTKE69gJeUvqJf6nyOPsG8fiK/IBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e97d5f6853e3b1fe8bd1cd3dc74a0439d5efb8ff5734293be0323048d5763524","last_reissued_at":"2026-07-05T05:30:40.188876Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:40.188876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.01734","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":"2026-07-05T05:30:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RnnS2qMO+KXvMyVGVzEmo6HWQhIB5NZSOjsblL9qBbovJx5kXcw/Up8f5qENWxOqbBbhpaetv60xN4WiG99xDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:05:27.291746Z"},"content_sha256":"38fb4ffe4102552a581894a268c3b9d51ed92298f28bb1419f8a773655e072b4","schema_version":"1.0","event_id":"sha256:38fb4ffe4102552a581894a268c3b9d51ed92298f28bb1419f8a773655e072b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5F6V62CT4OY75C6RZU64OSQEHH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Super-resolution with Sparse Arrays: A Non-Asymptotic Analysis of Spatio-temporal Trade-offs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Mehmet Can Hucumenoglu, Piya Pal, Pulak Sarangi, Robin Rajamaki","submitted_at":"2023-01-04T18:06:01Z","abstract_excerpt":"Sparse arrays have emerged as a popular alternative to the conventional uniform linear array (ULA) due to the enhanced degrees of freedom (DOF) and superior resolution offered by them. In the passive setting, these advantages are realized by leveraging correlation between the received signals at different sensors. This has led to the belief that sparse arrays require a large number of temporal measurements to reliably estimate parameters of interest from these correlations, and therefore they may not be preferred in the sample-starved regime. In this paper, we debunk this myth by performing a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01734","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/2301.01734/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":"2026-07-05T05:30:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vacXjQ71ACq8/hmKRfSDaUL7hMcmD2gfNob/d/eClnwLDBFjqM3prWQcFGqBFVchPGDHLkUpgpBc1CwbiD0oBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:05:27.292121Z"},"content_sha256":"1f25eb00ac3eed0d274933c7bf4de3003ce148a41d955728a59c3a5c4c54cd1b","schema_version":"1.0","event_id":"sha256:1f25eb00ac3eed0d274933c7bf4de3003ce148a41d955728a59c3a5c4c54cd1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5F6V62CT4OY75C6RZU64OSQEHH/bundle.json","state_url":"https://pith.science/pith/5F6V62CT4OY75C6RZU64OSQEHH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5F6V62CT4OY75C6RZU64OSQEHH/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":"2026-07-19T15:05:27Z","links":{"resolver":"https://pith.science/pith/5F6V62CT4OY75C6RZU64OSQEHH","bundle":"https://pith.science/pith/5F6V62CT4OY75C6RZU64OSQEHH/bundle.json","state":"https://pith.science/pith/5F6V62CT4OY75C6RZU64OSQEHH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5F6V62CT4OY75C6RZU64OSQEHH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5F6V62CT4OY75C6RZU64OSQEHH","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":"087c1dbfdaf52a155a998e85c4877b6735e1df7518241cab7d9e31ab57d36cd2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-01-04T18:06:01Z","title_canon_sha256":"b6c9bf256946dd2644ab76a926ab6c159d6b226d57f9541364f5d4f483ecdbad"},"schema_version":"1.0","source":{"id":"2301.01734","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01734","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01734v1","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01734","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_12","alias_value":"5F6V62CT4OY7","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_16","alias_value":"5F6V62CT4OY75C6R","created_at":"2026-07-05T05:30:40Z"},{"alias_kind":"pith_short_8","alias_value":"5F6V62CT","created_at":"2026-07-05T05:30:40Z"}],"graph_snapshots":[{"event_id":"sha256:1f25eb00ac3eed0d274933c7bf4de3003ce148a41d955728a59c3a5c4c54cd1b","target":"graph","created_at":"2026-07-05T05:30:40Z","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/2301.01734/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sparse arrays have emerged as a popular alternative to the conventional uniform linear array (ULA) due to the enhanced degrees of freedom (DOF) and superior resolution offered by them. In the passive setting, these advantages are realized by leveraging correlation between the received signals at different sensors. This has led to the belief that sparse arrays require a large number of temporal measurements to reliably estimate parameters of interest from these correlations, and therefore they may not be preferred in the sample-starved regime. In this paper, we debunk this myth by performing a ","authors_text":"Mehmet Can Hucumenoglu, Piya Pal, Pulak Sarangi, Robin Rajamaki","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-01-04T18:06:01Z","title":"Super-resolution with Sparse Arrays: A Non-Asymptotic Analysis of Spatio-temporal Trade-offs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01734","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":"sha256:38fb4ffe4102552a581894a268c3b9d51ed92298f28bb1419f8a773655e072b4","target":"record","created_at":"2026-07-05T05:30:40Z","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":"087c1dbfdaf52a155a998e85c4877b6735e1df7518241cab7d9e31ab57d36cd2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2023-01-04T18:06:01Z","title_canon_sha256":"b6c9bf256946dd2644ab76a926ab6c159d6b226d57f9541364f5d4f483ecdbad"},"schema_version":"1.0","source":{"id":"2301.01734","kind":"arxiv","version":1}},"canonical_sha256":"e97d5f6853e3b1fe8bd1cd3dc74a0439d5efb8ff5734293be0323048d5763524","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e97d5f6853e3b1fe8bd1cd3dc74a0439d5efb8ff5734293be0323048d5763524","first_computed_at":"2026-07-05T05:30:40.188876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:30:40.188876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xA7KkQeSWJ9+5Bei+PZjJKGw8YPjGIqFzKua+h6vDD8ou2FY5/jOYA/+0kTKE69gJeUvqJf6nyOPsG8fiK/IBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:30:40.189348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.01734","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38fb4ffe4102552a581894a268c3b9d51ed92298f28bb1419f8a773655e072b4","sha256:1f25eb00ac3eed0d274933c7bf4de3003ce148a41d955728a59c3a5c4c54cd1b"],"state_sha256":"570326bbe2ef9e7faac9a6472ff5ba591a32a40f3be1d704370cca05a18e7772"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"888x06WTFQ8qiQF9PqKt2RPZtqNBmYAs6j+qAM4MQ36C5yTj4rS/PXG4cXkzR2+NcCdOT/ICbmAxN1JeEaSYBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T15:05:27.294287Z","bundle_sha256":"f4e54509a8318c384daa893246d30b2a222859516187688c56ae39552423f334"}}