{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:YWYP63GN3XXLVNF427N7VX7HP2","short_pith_number":"pith:YWYP63GN","canonical_record":{"source":{"id":"1512.05429","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-17T01:13:22Z","cross_cats_sorted":["cs.NI","math.IT"],"title_canon_sha256":"f969879d6c08ef46ed2c901c293de09a99877039228ed3bb200450bfe3445b11","abstract_canon_sha256":"b6e7512fda7c166328e3fadbbe0e93a38652fbf86b76c859300f8f737677e1ac"},"schema_version":"1.0"},"canonical_sha256":"c5b0ff6ccdddeebab4bcd7dbfadfe77e9c3c1ccba0fef6f70e9174cbfe89235f","source":{"kind":"arxiv","id":"1512.05429","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.05429","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"arxiv_version","alias_value":"1512.05429v2","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.05429","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"pith_short_12","alias_value":"YWYP63GN3XXL","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"YWYP63GN3XXLVNF4","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"YWYP63GN","created_at":"2026-05-18T12:29:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:YWYP63GN3XXLVNF427N7VX7HP2","target":"record","payload":{"canonical_record":{"source":{"id":"1512.05429","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-17T01:13:22Z","cross_cats_sorted":["cs.NI","math.IT"],"title_canon_sha256":"f969879d6c08ef46ed2c901c293de09a99877039228ed3bb200450bfe3445b11","abstract_canon_sha256":"b6e7512fda7c166328e3fadbbe0e93a38652fbf86b76c859300f8f737677e1ac"},"schema_version":"1.0"},"canonical_sha256":"c5b0ff6ccdddeebab4bcd7dbfadfe77e9c3c1ccba0fef6f70e9174cbfe89235f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:24.921844Z","signature_b64":"01dlC+sgxY9AHaIV1KuzYfgch2/uBOaCuX48sSV3mmX6n8kKUvUNDMdqns3XdI2Cfy/uVvemOJFFMmcyxGfSBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5b0ff6ccdddeebab4bcd7dbfadfe77e9c3c1ccba0fef6f70e9174cbfe89235f","last_reissued_at":"2026-05-18T00:34:24.921278Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:24.921278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.05429","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:34:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4qiSg8MR3wTlsAqC7Ceu9a0DwAV27wAj7YB1VWJPgNSb9SzuavIC56g32O4QE1txtOd+Jn3kKvq9yDf1LlMaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T15:34:28.673450Z"},"content_sha256":"6d96f49f4b24f2bf84c3e24a9a62155aea4fcb7dd02d34efd0cb9d38ba870827","schema_version":"1.0","event_id":"sha256:6d96f49f4b24f2bf84c3e24a9a62155aea4fcb7dd02d34efd0cb9d38ba870827"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:YWYP63GN3XXLVNF427N7VX7HP2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DNA-GA: A New Approach of Network Performance Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT"],"primary_cat":"cs.IT","authors_text":"David Lopez Perez, Guoqiang Mao, Ming Ding, Zihuai Lin","submitted_at":"2015-12-17T01:13:22Z","abstract_excerpt":"In this paper, we propose a new approach of network performance analysis, which is based on our previous works on the deterministic network analysis using the Gaussian approximation (DNA-GA). First, we extend our previous works to a signal-to-interference ratio (SIR) analysis, which makes our DNA-GA analysis a formal microscopic analysis tool. Second, we show two approaches for upgrading the DNA-GA analysis to a macroscopic analysis tool. Finally, we perform a comparison between the proposed DNA-GA analysis and the existing macroscopic analysis based on stochastic geometry. Our results show th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.05429","kind":"arxiv","version":2},"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":"2026-05-18T00:34:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P0E2/fD9IsPl3JeFwDhmdmrimhCzx6dgMxF3vQA9m8d5X45XJ1HmXsZ7AOikqj1RyG9/xMBh2wF1ny971dLPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T15:34:28.673940Z"},"content_sha256":"c1d63efe9def348b716979b22bd68e4b30c60a698284a349172ef8120a37c972","schema_version":"1.0","event_id":"sha256:c1d63efe9def348b716979b22bd68e4b30c60a698284a349172ef8120a37c972"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YWYP63GN3XXLVNF427N7VX7HP2/bundle.json","state_url":"https://pith.science/pith/YWYP63GN3XXLVNF427N7VX7HP2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YWYP63GN3XXLVNF427N7VX7HP2/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":"2026-05-27T15:34:28Z","links":{"resolver":"https://pith.science/pith/YWYP63GN3XXLVNF427N7VX7HP2","bundle":"https://pith.science/pith/YWYP63GN3XXLVNF427N7VX7HP2/bundle.json","state":"https://pith.science/pith/YWYP63GN3XXLVNF427N7VX7HP2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YWYP63GN3XXLVNF427N7VX7HP2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:YWYP63GN3XXLVNF427N7VX7HP2","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":"b6e7512fda7c166328e3fadbbe0e93a38652fbf86b76c859300f8f737677e1ac","cross_cats_sorted":["cs.NI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-17T01:13:22Z","title_canon_sha256":"f969879d6c08ef46ed2c901c293de09a99877039228ed3bb200450bfe3445b11"},"schema_version":"1.0","source":{"id":"1512.05429","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.05429","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"arxiv_version","alias_value":"1512.05429v2","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.05429","created_at":"2026-05-18T00:34:24Z"},{"alias_kind":"pith_short_12","alias_value":"YWYP63GN3XXL","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"YWYP63GN3XXLVNF4","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"YWYP63GN","created_at":"2026-05-18T12:29:52Z"}],"graph_snapshots":[{"event_id":"sha256:c1d63efe9def348b716979b22bd68e4b30c60a698284a349172ef8120a37c972","target":"graph","created_at":"2026-05-18T00:34:24Z","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 this paper, we propose a new approach of network performance analysis, which is based on our previous works on the deterministic network analysis using the Gaussian approximation (DNA-GA). First, we extend our previous works to a signal-to-interference ratio (SIR) analysis, which makes our DNA-GA analysis a formal microscopic analysis tool. Second, we show two approaches for upgrading the DNA-GA analysis to a macroscopic analysis tool. Finally, we perform a comparison between the proposed DNA-GA analysis and the existing macroscopic analysis based on stochastic geometry. Our results show th","authors_text":"David Lopez Perez, Guoqiang Mao, Ming Ding, Zihuai Lin","cross_cats":["cs.NI","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-17T01:13:22Z","title":"DNA-GA: A New Approach of Network Performance Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.05429","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":"sha256:6d96f49f4b24f2bf84c3e24a9a62155aea4fcb7dd02d34efd0cb9d38ba870827","target":"record","created_at":"2026-05-18T00:34:24Z","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":"b6e7512fda7c166328e3fadbbe0e93a38652fbf86b76c859300f8f737677e1ac","cross_cats_sorted":["cs.NI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-17T01:13:22Z","title_canon_sha256":"f969879d6c08ef46ed2c901c293de09a99877039228ed3bb200450bfe3445b11"},"schema_version":"1.0","source":{"id":"1512.05429","kind":"arxiv","version":2}},"canonical_sha256":"c5b0ff6ccdddeebab4bcd7dbfadfe77e9c3c1ccba0fef6f70e9174cbfe89235f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5b0ff6ccdddeebab4bcd7dbfadfe77e9c3c1ccba0fef6f70e9174cbfe89235f","first_computed_at":"2026-05-18T00:34:24.921278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:24.921278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"01dlC+sgxY9AHaIV1KuzYfgch2/uBOaCuX48sSV3mmX6n8kKUvUNDMdqns3XdI2Cfy/uVvemOJFFMmcyxGfSBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:24.921844Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.05429","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d96f49f4b24f2bf84c3e24a9a62155aea4fcb7dd02d34efd0cb9d38ba870827","sha256:c1d63efe9def348b716979b22bd68e4b30c60a698284a349172ef8120a37c972"],"state_sha256":"95455db62188e961d9e14811c4bf0dca3df20957107040a8420ded06a34642ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+8KnAe9vob5NfJ/ZXDTN2o82hMj7aTU1fwAS4XAu/Wn1JcvdGjpdXJTs+n6iHYdgk3cOdHyHjJlr8NQZxrsJBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T15:34:28.677113Z","bundle_sha256":"e5c5fb7d00ec970ea27ca43b6625b44bdea8f719ac0b132f1787ed946529b6d7"}}