{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:PIKP5RLJUVKTW4WE374AF6HZDL","short_pith_number":"pith:PIKP5RLJ","schema_version":"1.0","canonical_sha256":"7a14fec569a5553b72c4dff802f8f91ac639a050cd38e20f97de1fc5c644b22b","source":{"kind":"arxiv","id":"1612.04197","version":1},"attestation_state":"computed","paper":{"title":"An Artificial Neural Networks based Temperature Prediction Framework for Network-on-Chip based Multicore Platform","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.NE"],"primary_cat":"cs.DC","authors_text":"Sandeep Aswath Narayana","submitted_at":"2016-12-12T09:11:13Z","abstract_excerpt":"Continuous improvement in silicon process technologies has made possible the integration of hundreds of cores on a single chip. However, power and heat have become dominant constraints in designing these massive multicore chips causing issues with reliability, timing variations and reduced lifetime of the chips. Dynamic Thermal Management (DTM) is a solution to avoid high temperatures on the die. Typical DTM schemes only address core level thermal issues. However, the Network-on-chip (NoC) paradigm, which has emerged as an enabling methodology for integrating hundreds to thousands of cores on "},"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":"1612.04197","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-12-12T09:11:13Z","cross_cats_sorted":["cs.AR","cs.NE"],"title_canon_sha256":"76e2aff5bf1e9fcbf1c0df897cbbb15226f502496b2f5687af9947073df2fc9b","abstract_canon_sha256":"f62650d00dea87f2f5816f718b70621f219408bd64e5aef011d43e3bffeaa61b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:55:05.168541Z","signature_b64":"L5k/1b9cQYFhqIdCkZ8wvjZcA96nasn5RdKDDVObiD7djMrdpEZD3bhsWGk/p+HW8YnedRYYOAZmBunvpUYgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a14fec569a5553b72c4dff802f8f91ac639a050cd38e20f97de1fc5c644b22b","last_reissued_at":"2026-05-18T00:55:05.167992Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:55:05.167992Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Artificial Neural Networks based Temperature Prediction Framework for Network-on-Chip based Multicore Platform","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR","cs.NE"],"primary_cat":"cs.DC","authors_text":"Sandeep Aswath Narayana","submitted_at":"2016-12-12T09:11:13Z","abstract_excerpt":"Continuous improvement in silicon process technologies has made possible the integration of hundreds of cores on a single chip. However, power and heat have become dominant constraints in designing these massive multicore chips causing issues with reliability, timing variations and reduced lifetime of the chips. Dynamic Thermal Management (DTM) is a solution to avoid high temperatures on the die. Typical DTM schemes only address core level thermal issues. However, the Network-on-chip (NoC) paradigm, which has emerged as an enabling methodology for integrating hundreds to thousands of cores on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.04197","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":"1612.04197","created_at":"2026-05-18T00:55:05.168088+00:00"},{"alias_kind":"arxiv_version","alias_value":"1612.04197v1","created_at":"2026-05-18T00:55:05.168088+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.04197","created_at":"2026-05-18T00:55:05.168088+00:00"},{"alias_kind":"pith_short_12","alias_value":"PIKP5RLJUVKT","created_at":"2026-05-18T12:30:39.010887+00:00"},{"alias_kind":"pith_short_16","alias_value":"PIKP5RLJUVKTW4WE","created_at":"2026-05-18T12:30:39.010887+00:00"},{"alias_kind":"pith_short_8","alias_value":"PIKP5RLJ","created_at":"2026-05-18T12:30:39.010887+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/PIKP5RLJUVKTW4WE374AF6HZDL","json":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL.json","graph_json":"https://pith.science/api/pith-number/PIKP5RLJUVKTW4WE374AF6HZDL/graph.json","events_json":"https://pith.science/api/pith-number/PIKP5RLJUVKTW4WE374AF6HZDL/events.json","paper":"https://pith.science/paper/PIKP5RLJ"},"agent_actions":{"view_html":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL","download_json":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL.json","view_paper":"https://pith.science/paper/PIKP5RLJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1612.04197&json=true","fetch_graph":"https://pith.science/api/pith-number/PIKP5RLJUVKTW4WE374AF6HZDL/graph.json","fetch_events":"https://pith.science/api/pith-number/PIKP5RLJUVKTW4WE374AF6HZDL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL/action/storage_attestation","attest_author":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL/action/author_attestation","sign_citation":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL/action/citation_signature","submit_replication":"https://pith.science/pith/PIKP5RLJUVKTW4WE374AF6HZDL/action/replication_record"}},"created_at":"2026-05-18T00:55:05.168088+00:00","updated_at":"2026-05-18T00:55:05.168088+00:00"}