{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:ED5X25WFO75I6RYABIDYGMRDHQ","short_pith_number":"pith:ED5X25WF","canonical_record":{"source":{"id":"1511.06639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-20T15:29:35Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"416621b89e47d26f835a9bb9e7bc1dd78e3c28655a0e6520f410e642895e71cc","abstract_canon_sha256":"51197b950246da03dd850e9a10b4a7b52ad8a7163ff6fd2b22e10347979e9ae3"},"schema_version":"1.0"},"canonical_sha256":"20fb7d76c577fa8f47000a078332233c1f6e4b0753331242b36388e9ee21f704","source":{"kind":"arxiv","id":"1511.06639","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06639","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06639v1","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06639","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"pith_short_12","alias_value":"ED5X25WFO75I","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"ED5X25WFO75I6RYA","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"ED5X25WF","created_at":"2026-05-18T12:29:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:ED5X25WFO75I6RYABIDYGMRDHQ","target":"record","payload":{"canonical_record":{"source":{"id":"1511.06639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-20T15:29:35Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"416621b89e47d26f835a9bb9e7bc1dd78e3c28655a0e6520f410e642895e71cc","abstract_canon_sha256":"51197b950246da03dd850e9a10b4a7b52ad8a7163ff6fd2b22e10347979e9ae3"},"schema_version":"1.0"},"canonical_sha256":"20fb7d76c577fa8f47000a078332233c1f6e4b0753331242b36388e9ee21f704","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:26:24.165944Z","signature_b64":"ZbHrxVLyXEq/qoCCEQvmDC9Gta3PDyXaXpbcHEipA+rg7kobQWbN/226ScNWJ4l3r40vRLt4Kv/0CENyIcNWBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20fb7d76c577fa8f47000a078332233c1f6e4b0753331242b36388e9ee21f704","last_reissued_at":"2026-05-18T01:26:24.165580Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:26:24.165580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.06639","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":"2026-05-18T01:26:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"155n6gwGBKd6lPP4AjCtMYB1ZOFW3srBr177Dw1cTzvacJK2qVDgtsmgJm3NnHadrZXFnrHK8UItYNv7dpdyDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T09:16:17.327422Z"},"content_sha256":"012cd08af1fd1afa437b9251d467d4e197f3579bd9f131ead39eb8a7141c80f6","schema_version":"1.0","event_id":"sha256:012cd08af1fd1afa437b9251d467d4e197f3579bd9f131ead39eb8a7141c80f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:ED5X25WFO75I6RYABIDYGMRDHQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compressed and quantized correlation estimators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"stat.AP","authors_text":"Augusto Zebadua, Eric Moisan, Olivier .J.J. Michel, Pierre-Olivier Amblard","submitted_at":"2015-11-20T15:29:35Z","abstract_excerpt":"In passive monitoring using sensor networks, low energy supplies drastically constrain sensors in terms of calculation and communication abilities. Designing processing algorithms at the sensor level that take into account these constraints is an important problem in this context. We study here the estimation of correlation functions between sensors using compressed acquisition and one-bit-quantization. The estimation is achieved directly using compressed samples, without considering any reconstruction of the signals. We show that if the signals of interest are far from white noise, estimation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06639","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":""},"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":"2026-05-18T01:26:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OW5DYOgeodvRdoR+KDYqkcCdJ6lQgGmWXFYHf8STBMDMGKSPJGb/ygwtPatFtWPo1hCQh6GDq5gsCIh+d1W6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T09:16:17.327774Z"},"content_sha256":"7d0111434168955a075ecf18f7a9d269d0396fd54564d71da658847fbf0f120e","schema_version":"1.0","event_id":"sha256:7d0111434168955a075ecf18f7a9d269d0396fd54564d71da658847fbf0f120e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ED5X25WFO75I6RYABIDYGMRDHQ/bundle.json","state_url":"https://pith.science/pith/ED5X25WFO75I6RYABIDYGMRDHQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ED5X25WFO75I6RYABIDYGMRDHQ/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":"2026-06-22T09:16:17Z","links":{"resolver":"https://pith.science/pith/ED5X25WFO75I6RYABIDYGMRDHQ","bundle":"https://pith.science/pith/ED5X25WFO75I6RYABIDYGMRDHQ/bundle.json","state":"https://pith.science/pith/ED5X25WFO75I6RYABIDYGMRDHQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ED5X25WFO75I6RYABIDYGMRDHQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ED5X25WFO75I6RYABIDYGMRDHQ","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":"51197b950246da03dd850e9a10b4a7b52ad8a7163ff6fd2b22e10347979e9ae3","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-20T15:29:35Z","title_canon_sha256":"416621b89e47d26f835a9bb9e7bc1dd78e3c28655a0e6520f410e642895e71cc"},"schema_version":"1.0","source":{"id":"1511.06639","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.06639","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"arxiv_version","alias_value":"1511.06639v1","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06639","created_at":"2026-05-18T01:26:24Z"},{"alias_kind":"pith_short_12","alias_value":"ED5X25WFO75I","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"ED5X25WFO75I6RYA","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"ED5X25WF","created_at":"2026-05-18T12:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:7d0111434168955a075ecf18f7a9d269d0396fd54564d71da658847fbf0f120e","target":"graph","created_at":"2026-05-18T01:26:24Z","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"},"paper":{"abstract_excerpt":"In passive monitoring using sensor networks, low energy supplies drastically constrain sensors in terms of calculation and communication abilities. Designing processing algorithms at the sensor level that take into account these constraints is an important problem in this context. We study here the estimation of correlation functions between sensors using compressed acquisition and one-bit-quantization. The estimation is achieved directly using compressed samples, without considering any reconstruction of the signals. We show that if the signals of interest are far from white noise, estimation","authors_text":"Augusto Zebadua, Eric Moisan, Olivier .J.J. Michel, Pierre-Olivier Amblard","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-20T15:29:35Z","title":"Compressed and quantized correlation estimators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06639","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":"sha256:012cd08af1fd1afa437b9251d467d4e197f3579bd9f131ead39eb8a7141c80f6","target":"record","created_at":"2026-05-18T01:26:24Z","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":"51197b950246da03dd850e9a10b4a7b52ad8a7163ff6fd2b22e10347979e9ae3","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2015-11-20T15:29:35Z","title_canon_sha256":"416621b89e47d26f835a9bb9e7bc1dd78e3c28655a0e6520f410e642895e71cc"},"schema_version":"1.0","source":{"id":"1511.06639","kind":"arxiv","version":1}},"canonical_sha256":"20fb7d76c577fa8f47000a078332233c1f6e4b0753331242b36388e9ee21f704","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20fb7d76c577fa8f47000a078332233c1f6e4b0753331242b36388e9ee21f704","first_computed_at":"2026-05-18T01:26:24.165580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:26:24.165580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZbHrxVLyXEq/qoCCEQvmDC9Gta3PDyXaXpbcHEipA+rg7kobQWbN/226ScNWJ4l3r40vRLt4Kv/0CENyIcNWBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:26:24.165944Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.06639","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:012cd08af1fd1afa437b9251d467d4e197f3579bd9f131ead39eb8a7141c80f6","sha256:7d0111434168955a075ecf18f7a9d269d0396fd54564d71da658847fbf0f120e"],"state_sha256":"393853dd03d448d0317b21ed34236b1053dbcf708ffb7f8256c7a6094886367c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sg7MfFwoGy8pvMxGA34e7rDwDnaB0u/Idw/SOp9GkeO8qk+jx5YszvDphHqc0O3zrhAXt5MELNG7fb5CIr1sBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T09:16:17.329775Z","bundle_sha256":"cf0821ef3f027282bd8c51b62ed8b593a4486fcfbd64c620bff3ab1c225da658"}}