{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:M2CVB7BPHQQLNVEWOWNRMDAMCW","short_pith_number":"pith:M2CVB7BP","canonical_record":{"source":{"id":"2008.07614","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-17T20:52:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5db14079f21f85b9171c030dfe33da565928b4e7754ddf08e9063eb109d04a4c","abstract_canon_sha256":"7c1a5d39b1eb12f5e1df78f82b2c25b4b6c7a0e55cf920d1cc81c0c5ee4c4403"},"schema_version":"1.0"},"canonical_sha256":"668550fc2f3c20b6d496759b160c0c159db06952df8467758a092e64e64a26d7","source":{"kind":"arxiv","id":"2008.07614","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07614","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07614v2","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07614","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_12","alias_value":"M2CVB7BPHQQL","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_16","alias_value":"M2CVB7BPHQQLNVEW","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_8","alias_value":"M2CVB7BP","created_at":"2026-07-05T01:28:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:M2CVB7BPHQQLNVEWOWNRMDAMCW","target":"record","payload":{"canonical_record":{"source":{"id":"2008.07614","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-17T20:52:19Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5db14079f21f85b9171c030dfe33da565928b4e7754ddf08e9063eb109d04a4c","abstract_canon_sha256":"7c1a5d39b1eb12f5e1df78f82b2c25b4b6c7a0e55cf920d1cc81c0c5ee4c4403"},"schema_version":"1.0"},"canonical_sha256":"668550fc2f3c20b6d496759b160c0c159db06952df8467758a092e64e64a26d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:28:31.996936Z","signature_b64":"jDU3UFTynptoLB8EoDU4e3fMisUhkeG6gxYKig6GQUfYaF1FRDj5HJaqpbpXPQ7Po6R7YwssZ7wF6bYdEOW8AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"668550fc2f3c20b6d496759b160c0c159db06952df8467758a092e64e64a26d7","last_reissued_at":"2026-07-05T01:28:31.996491Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:28:31.996491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.07614","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":"2026-07-05T01:28:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8OcV9zpiRhmCerWSXjrupwE0HUR9vjb4VWPFJJyipqxI3ZQGp+X0/XobihB16yrsbFfP+5ewYDXXvoDQrUCDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:54:52.409563Z"},"content_sha256":"44ee2a5cdbb46520e759655e7748cd97a2c968eeb97d22a669310d49a0d84f89","schema_version":"1.0","event_id":"sha256:44ee2a5cdbb46520e759655e7748cd97a2c968eeb97d22a669310d49a0d84f89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:M2CVB7BPHQQLNVEWOWNRMDAMCW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Ning Zhang, Qiang Liu, Tao Han, Ye Wang","submitted_at":"2020-08-17T20:52:19Z","abstract_excerpt":"Network slicing enables multiple virtual networks run on the same physical infrastructure to support various use cases in 5G and beyond. These use cases, however, have very diverse network resource demands, e.g., communication and computation, and various performance metrics such as latency and throughput. To effectively allocate network resources to slices, we propose DeepSlicing that integrates the alternating direction method of multipliers (ADMM) and deep reinforcement learning (DRL). DeepSlicing decomposes the network slicing problem into a master problem and several slave problems. The m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07614","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2008.07614/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:28:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ETvNfTGj+mLQ9baO3NLzj83rxLZ+p2RMYjmHbbJi0qxByVKSEKxYCP9AwalywcM5UbIsZrxDxz780FC7eM2qDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:54:52.409928Z"},"content_sha256":"520ef58bd578d6ed19899ce78319d08d7fe17b26e901e58e76e4d9b4b9f92cdd","schema_version":"1.0","event_id":"sha256:520ef58bd578d6ed19899ce78319d08d7fe17b26e901e58e76e4d9b4b9f92cdd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/bundle.json","state_url":"https://pith.science/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/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":"2026-07-07T11:54:52Z","links":{"resolver":"https://pith.science/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW","bundle":"https://pith.science/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/bundle.json","state":"https://pith.science/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M2CVB7BPHQQLNVEWOWNRMDAMCW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:M2CVB7BPHQQLNVEWOWNRMDAMCW","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":"7c1a5d39b1eb12f5e1df78f82b2c25b4b6c7a0e55cf920d1cc81c0c5ee4c4403","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-17T20:52:19Z","title_canon_sha256":"5db14079f21f85b9171c030dfe33da565928b4e7754ddf08e9063eb109d04a4c"},"schema_version":"1.0","source":{"id":"2008.07614","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07614","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07614v2","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07614","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_12","alias_value":"M2CVB7BPHQQL","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_16","alias_value":"M2CVB7BPHQQLNVEW","created_at":"2026-07-05T01:28:31Z"},{"alias_kind":"pith_short_8","alias_value":"M2CVB7BP","created_at":"2026-07-05T01:28:31Z"}],"graph_snapshots":[{"event_id":"sha256:520ef58bd578d6ed19899ce78319d08d7fe17b26e901e58e76e4d9b4b9f92cdd","target":"graph","created_at":"2026-07-05T01:28:31Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2008.07614/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Network slicing enables multiple virtual networks run on the same physical infrastructure to support various use cases in 5G and beyond. These use cases, however, have very diverse network resource demands, e.g., communication and computation, and various performance metrics such as latency and throughput. To effectively allocate network resources to slices, we propose DeepSlicing that integrates the alternating direction method of multipliers (ADMM) and deep reinforcement learning (DRL). DeepSlicing decomposes the network slicing problem into a master problem and several slave problems. The m","authors_text":"Ning Zhang, Qiang Liu, Tao Han, Ye Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-17T20:52:19Z","title":"DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07614","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":"sha256:44ee2a5cdbb46520e759655e7748cd97a2c968eeb97d22a669310d49a0d84f89","target":"record","created_at":"2026-07-05T01:28:31Z","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":"7c1a5d39b1eb12f5e1df78f82b2c25b4b6c7a0e55cf920d1cc81c0c5ee4c4403","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-08-17T20:52:19Z","title_canon_sha256":"5db14079f21f85b9171c030dfe33da565928b4e7754ddf08e9063eb109d04a4c"},"schema_version":"1.0","source":{"id":"2008.07614","kind":"arxiv","version":2}},"canonical_sha256":"668550fc2f3c20b6d496759b160c0c159db06952df8467758a092e64e64a26d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"668550fc2f3c20b6d496759b160c0c159db06952df8467758a092e64e64a26d7","first_computed_at":"2026-07-05T01:28:31.996491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:28:31.996491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jDU3UFTynptoLB8EoDU4e3fMisUhkeG6gxYKig6GQUfYaF1FRDj5HJaqpbpXPQ7Po6R7YwssZ7wF6bYdEOW8AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:28:31.996936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.07614","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44ee2a5cdbb46520e759655e7748cd97a2c968eeb97d22a669310d49a0d84f89","sha256:520ef58bd578d6ed19899ce78319d08d7fe17b26e901e58e76e4d9b4b9f92cdd"],"state_sha256":"4ce34fb4b607882b5f7dbfc8e3e55be4c84bd6b52dcdcc4872d01e4bfad10813"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TZ9ykNskagY98S4WkcJ1yR7UB1QcRA4EThtG7k9l2kirA+fRkVXtzFxzPdSbeDoOxy0xszl9TwTXF/s0khbLDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:54:52.411837Z","bundle_sha256":"645dfb10c17ef69ea3f4179f647bc7cf03a75ddd6a2c6d07b8f1b020b616a8f7"}}