{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RWVFANQQHCZOLS7Z2UPAO3KRHK","short_pith_number":"pith:RWVFANQQ","canonical_record":{"source":{"id":"1905.09824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-05-23T09:22:51Z","cross_cats_sorted":[],"title_canon_sha256":"61a0255b94ad1d526b17d19fbaa2aee5ebdb4f4d0bed12763f52a66639e660a2","abstract_canon_sha256":"89c9d818f7ba4662c2f94172b16dc52005ac3f559749420b81b11b1e98da7fd6"},"schema_version":"1.0"},"canonical_sha256":"8daa50361038b2e5cbf9d51e076d513a94b53b4c1978118c59c4ce6ad8accd0b","source":{"kind":"arxiv","id":"1905.09824","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.09824","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"arxiv_version","alias_value":"1905.09824v1","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.09824","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"pith_short_12","alias_value":"RWVFANQQHCZO","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RWVFANQQHCZOLS7Z","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RWVFANQQ","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RWVFANQQHCZOLS7Z2UPAO3KRHK","target":"record","payload":{"canonical_record":{"source":{"id":"1905.09824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-05-23T09:22:51Z","cross_cats_sorted":[],"title_canon_sha256":"61a0255b94ad1d526b17d19fbaa2aee5ebdb4f4d0bed12763f52a66639e660a2","abstract_canon_sha256":"89c9d818f7ba4662c2f94172b16dc52005ac3f559749420b81b11b1e98da7fd6"},"schema_version":"1.0"},"canonical_sha256":"8daa50361038b2e5cbf9d51e076d513a94b53b4c1978118c59c4ce6ad8accd0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:14.369920Z","signature_b64":"IZb4IKswKRnxDWlBXo0b6myGM8CH5IF/PPQ0g3SJhCR3PM3yBp0bk0ITiOsDnV2c0uREDhzPRKVNhDmlAzx2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8daa50361038b2e5cbf9d51e076d513a94b53b4c1978118c59c4ce6ad8accd0b","last_reissued_at":"2026-05-17T23:45:14.369201Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:14.369201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.09824","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":"2026-05-17T23:45:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EZkBxO9ph11IST7ew5VqH4QBJwsnTdTRA9kYyc6QYfiJ0TbbPeLBrJEKj8FmXCWKfmf/FSA0O4XuOKhcVFngDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T13:30:39.394930Z"},"content_sha256":"8c08caf0d08c410d769af930abd2c7620fc71d65d895851abe61573a7f63c0bd","schema_version":"1.0","event_id":"sha256:8c08caf0d08c410d769af930abd2c7620fc71d65d895851abe61573a7f63c0bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RWVFANQQHCZOLS7Z2UPAO3KRHK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Anestis Tsakmalis, Bjorn Ottersten, Sajad Mehrizi, Symeon Chatzinotas","submitted_at":"2019-05-23T09:22:51Z","abstract_excerpt":"Edge-caching is recognized as an efficient technique for future wireless cellular networks to improve network capacity and user-perceived quality of experience. Due to the random content requests and the limited cache memory, designing an efficient caching policy is a challenge. To enhance the performance of caching systems, an accurate content request prediction algorithm is essential. Here, we introduce a flexible model, a Poisson regressor based on a Gaussian process, for the content request distribution in stationary environments. Our proposed model can incorporate the content features as "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.09824","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":"2026-05-17T23:45:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qTDuKZ4EPxxyNi9z6nj+6x5Wgh5JEUdfEj3k05n1DmK6Bzz139AFjw4WA/GGnEAPVx5/g/JnomyCYJERf3ChAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T13:30:39.395283Z"},"content_sha256":"bec18e7e930ae0ecd037a785c2f68f2f416f0494047c59c834c090d2cc659b6d","schema_version":"1.0","event_id":"sha256:bec18e7e930ae0ecd037a785c2f68f2f416f0494047c59c834c090d2cc659b6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/bundle.json","state_url":"https://pith.science/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/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":"2026-06-02T13:30:39Z","links":{"resolver":"https://pith.science/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK","bundle":"https://pith.science/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/bundle.json","state":"https://pith.science/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWVFANQQHCZOLS7Z2UPAO3KRHK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RWVFANQQHCZOLS7Z2UPAO3KRHK","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":"89c9d818f7ba4662c2f94172b16dc52005ac3f559749420b81b11b1e98da7fd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-05-23T09:22:51Z","title_canon_sha256":"61a0255b94ad1d526b17d19fbaa2aee5ebdb4f4d0bed12763f52a66639e660a2"},"schema_version":"1.0","source":{"id":"1905.09824","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.09824","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"arxiv_version","alias_value":"1905.09824v1","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.09824","created_at":"2026-05-17T23:45:14Z"},{"alias_kind":"pith_short_12","alias_value":"RWVFANQQHCZO","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RWVFANQQHCZOLS7Z","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RWVFANQQ","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:bec18e7e930ae0ecd037a785c2f68f2f416f0494047c59c834c090d2cc659b6d","target":"graph","created_at":"2026-05-17T23:45:14Z","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":"Edge-caching is recognized as an efficient technique for future wireless cellular networks to improve network capacity and user-perceived quality of experience. Due to the random content requests and the limited cache memory, designing an efficient caching policy is a challenge. To enhance the performance of caching systems, an accurate content request prediction algorithm is essential. Here, we introduce a flexible model, a Poisson regressor based on a Gaussian process, for the content request distribution in stationary environments. Our proposed model can incorporate the content features as ","authors_text":"Anestis Tsakmalis, Bjorn Ottersten, Sajad Mehrizi, Symeon Chatzinotas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-05-23T09:22:51Z","title":"A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.09824","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":"sha256:8c08caf0d08c410d769af930abd2c7620fc71d65d895851abe61573a7f63c0bd","target":"record","created_at":"2026-05-17T23:45:14Z","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":"89c9d818f7ba4662c2f94172b16dc52005ac3f559749420b81b11b1e98da7fd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-05-23T09:22:51Z","title_canon_sha256":"61a0255b94ad1d526b17d19fbaa2aee5ebdb4f4d0bed12763f52a66639e660a2"},"schema_version":"1.0","source":{"id":"1905.09824","kind":"arxiv","version":1}},"canonical_sha256":"8daa50361038b2e5cbf9d51e076d513a94b53b4c1978118c59c4ce6ad8accd0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8daa50361038b2e5cbf9d51e076d513a94b53b4c1978118c59c4ce6ad8accd0b","first_computed_at":"2026-05-17T23:45:14.369201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:14.369201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IZb4IKswKRnxDWlBXo0b6myGM8CH5IF/PPQ0g3SJhCR3PM3yBp0bk0ITiOsDnV2c0uREDhzPRKVNhDmlAzx2Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:14.369920Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.09824","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c08caf0d08c410d769af930abd2c7620fc71d65d895851abe61573a7f63c0bd","sha256:bec18e7e930ae0ecd037a785c2f68f2f416f0494047c59c834c090d2cc659b6d"],"state_sha256":"5480b76edbd74fec4cfbd5b4e689970bc429f393b2da33acf31b7eb37223fd6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hnP342/gS647g4HIejd9jXzuRz7u35y+VoYmTlhFj8nh/nanWl+w0RJLLnr3+lx9rwEKtcphI9rsQtzPNOoOCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T13:30:39.397372Z","bundle_sha256":"7dc1327467bfe28b8a824553fdbdbc1cc96321d025bf333dd73bb499929a00ce"}}