{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:R7WI253HR5NW3I2EIHES4ARYTX","short_pith_number":"pith:R7WI253H","schema_version":"1.0","canonical_sha256":"8fec8d77678f5b6da34441c92e02389df1d7dffbfd8b4acc9114fdf2a77a200f","source":{"kind":"arxiv","id":"1810.06930","version":1},"attestation_state":"computed","paper":{"title":"Feedforward Neural Networks for Caching: Enough or Too Much?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Bruno Ribeiro, Giovanni Neglia, Vladyslav Fedchenko","submitted_at":"2018-10-16T11:26:18Z","abstract_excerpt":"We propose a caching policy that uses a feedforward neural network (FNN) to predict content popularity. Our scheme outperforms popular eviction policies like LRU or ARC, but also a new policy relying on the more complex recurrent neural networks. At the same time, replacing the FNN predictor with a naive linear estimator does not degrade caching performance significantly, questioning then the role of neural networks for these applications."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1810.06930","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2018-10-16T11:26:18Z","cross_cats_sorted":[],"title_canon_sha256":"72cfbbce37831615655d4dc868bd4467c362b338bd79169159dc734c61d492aa","abstract_canon_sha256":"0c4122829ab802d0c531aa70d9050e273847d73113ed24ec1c0c44aab2ed83cd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:11.047433Z","signature_b64":"X4/K6CWho/gPSCjsduCbToNWPSt2+FxKtrIWlMXHAeZSek3SWM7Ry1vsGIODMVzbrjBlHrgKnBT+yKNmIjSSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8fec8d77678f5b6da34441c92e02389df1d7dffbfd8b4acc9114fdf2a77a200f","last_reissued_at":"2026-05-18T00:03:11.046649Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:11.046649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Feedforward Neural Networks for Caching: Enough or Too Much?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Bruno Ribeiro, Giovanni Neglia, Vladyslav Fedchenko","submitted_at":"2018-10-16T11:26:18Z","abstract_excerpt":"We propose a caching policy that uses a feedforward neural network (FNN) to predict content popularity. Our scheme outperforms popular eviction policies like LRU or ARC, but also a new policy relying on the more complex recurrent neural networks. At the same time, replacing the FNN predictor with a naive linear estimator does not degrade caching performance significantly, questioning then the role of neural networks for these applications."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.06930","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1810.06930","created_at":"2026-05-18T00:03:11.046773+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.06930v1","created_at":"2026-05-18T00:03:11.046773+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.06930","created_at":"2026-05-18T00:03:11.046773+00:00"},{"alias_kind":"pith_short_12","alias_value":"R7WI253HR5NW","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_16","alias_value":"R7WI253HR5NW3I2E","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_8","alias_value":"R7WI253H","created_at":"2026-05-18T12:32:50.500415+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX","json":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX.json","graph_json":"https://pith.science/api/pith-number/R7WI253HR5NW3I2EIHES4ARYTX/graph.json","events_json":"https://pith.science/api/pith-number/R7WI253HR5NW3I2EIHES4ARYTX/events.json","paper":"https://pith.science/paper/R7WI253H"},"agent_actions":{"view_html":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX","download_json":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX.json","view_paper":"https://pith.science/paper/R7WI253H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.06930&json=true","fetch_graph":"https://pith.science/api/pith-number/R7WI253HR5NW3I2EIHES4ARYTX/graph.json","fetch_events":"https://pith.science/api/pith-number/R7WI253HR5NW3I2EIHES4ARYTX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX/action/storage_attestation","attest_author":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX/action/author_attestation","sign_citation":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX/action/citation_signature","submit_replication":"https://pith.science/pith/R7WI253HR5NW3I2EIHES4ARYTX/action/replication_record"}},"created_at":"2026-05-18T00:03:11.046773+00:00","updated_at":"2026-05-18T00:03:11.046773+00:00"}