{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VMUA6A5IUDUVHRITMONK4CPLNH","short_pith_number":"pith:VMUA6A5I","canonical_record":{"source":{"id":"2507.18111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-24T05:45:41Z","cross_cats_sorted":[],"title_canon_sha256":"ee1c758ae5400229a053c7f483df73f2030711ffc52302bfebbf9d78d9b83a75","abstract_canon_sha256":"aa21249ce9124c092f88f45911669b9df3f3507d7948ac6d7103f28775aad7f9"},"schema_version":"1.0"},"canonical_sha256":"ab280f03a8a0e953c513639aae09eb69fcd5252981c603da2bc7a456951566a6","source":{"kind":"arxiv","id":"2507.18111","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18111","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18111v1","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18111","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"VMUA6A5IUDUV","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"VMUA6A5IUDUVHRIT","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"VMUA6A5I","created_at":"2026-07-05T11:42:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VMUA6A5IUDUVHRITMONK4CPLNH","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-24T05:45:41Z","cross_cats_sorted":[],"title_canon_sha256":"ee1c758ae5400229a053c7f483df73f2030711ffc52302bfebbf9d78d9b83a75","abstract_canon_sha256":"aa21249ce9124c092f88f45911669b9df3f3507d7948ac6d7103f28775aad7f9"},"schema_version":"1.0"},"canonical_sha256":"ab280f03a8a0e953c513639aae09eb69fcd5252981c603da2bc7a456951566a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:41.842392Z","signature_b64":"7/6pBxEAFcJTuyqteqvIhaIFTEDDuJD+YZkywdCR3RSk84A8iw1DZMNMbUFgqQJZdOLY2YBVBdDXAHXeIYWcCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ab280f03a8a0e953c513639aae09eb69fcd5252981c603da2bc7a456951566a6","last_reissued_at":"2026-07-05T11:42:41.841719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:41.841719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18111","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":"2026-07-05T11:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VzD2846CiT53OfVjErGQMBoERiqFilDMUchjYFadGy5W4vhXYztukzTcDRf5x2sNygD1OUjlEngsXpsIVLFxAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:11:51.593059Z"},"content_sha256":"a13c1b9171db4e60ab227af46b4974c0a533e81949296b0774ad3c7b1c30e4df","schema_version":"1.0","event_id":"sha256:a13c1b9171db4e60ab227af46b4974c0a533e81949296b0774ad3c7b1c30e4df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VMUA6A5IUDUVHRITMONK4CPLNH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anas Alsoliman, Peyman Tehrani","submitted_at":"2025-07-24T05:45:41Z","abstract_excerpt":"In this paper, we tackle the challenge of radio access network (RAN) slicing within an open RAN (O-RAN) architecture. Our focus centers on a network that includes multiple mobile virtual network operators (MVNOs) competing for physical resource blocks (PRBs) with the goal of meeting probabilistic delay upper bound constraints for their clients while minimizing PRB utilization. Initially, we derive a reward function based on the law of large numbers (LLN), then implement practical modifications to adapt it for real-world experimental scenarios. We then propose our solution, the Percentile-based"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18111","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.18111/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":"2026-07-05T11:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zku7MiCwPpDp8bhnGB6B873G9RVuKGdeF44OdSQ30SfOFLr4fQzuD9fAG4ASr2H7hkfRaeTH18fFRhuyeBmVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T15:11:51.593613Z"},"content_sha256":"5726492e73a6e829a7410156f8b13e40d426ed1899c7aaa3a7461975aff690a2","schema_version":"1.0","event_id":"sha256:5726492e73a6e829a7410156f8b13e40d426ed1899c7aaa3a7461975aff690a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VMUA6A5IUDUVHRITMONK4CPLNH/bundle.json","state_url":"https://pith.science/pith/VMUA6A5IUDUVHRITMONK4CPLNH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VMUA6A5IUDUVHRITMONK4CPLNH/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":"2026-08-15T15:11:51Z","links":{"resolver":"https://pith.science/pith/VMUA6A5IUDUVHRITMONK4CPLNH","bundle":"https://pith.science/pith/VMUA6A5IUDUVHRITMONK4CPLNH/bundle.json","state":"https://pith.science/pith/VMUA6A5IUDUVHRITMONK4CPLNH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VMUA6A5IUDUVHRITMONK4CPLNH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VMUA6A5IUDUVHRITMONK4CPLNH","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":"aa21249ce9124c092f88f45911669b9df3f3507d7948ac6d7103f28775aad7f9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-24T05:45:41Z","title_canon_sha256":"ee1c758ae5400229a053c7f483df73f2030711ffc52302bfebbf9d78d9b83a75"},"schema_version":"1.0","source":{"id":"2507.18111","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18111","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18111v1","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18111","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"VMUA6A5IUDUV","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_16","alias_value":"VMUA6A5IUDUVHRIT","created_at":"2026-07-05T11:42:41Z"},{"alias_kind":"pith_short_8","alias_value":"VMUA6A5I","created_at":"2026-07-05T11:42:41Z"}],"graph_snapshots":[{"event_id":"sha256:5726492e73a6e829a7410156f8b13e40d426ed1899c7aaa3a7461975aff690a2","target":"graph","created_at":"2026-07-05T11:42:41Z","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/2507.18111/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we tackle the challenge of radio access network (RAN) slicing within an open RAN (O-RAN) architecture. Our focus centers on a network that includes multiple mobile virtual network operators (MVNOs) competing for physical resource blocks (PRBs) with the goal of meeting probabilistic delay upper bound constraints for their clients while minimizing PRB utilization. Initially, we derive a reward function based on the law of large numbers (LLN), then implement practical modifications to adapt it for real-world experimental scenarios. We then propose our solution, the Percentile-based","authors_text":"Anas Alsoliman, Peyman Tehrani","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-24T05:45:41Z","title":"Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18111","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:a13c1b9171db4e60ab227af46b4974c0a533e81949296b0774ad3c7b1c30e4df","target":"record","created_at":"2026-07-05T11:42:41Z","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":"aa21249ce9124c092f88f45911669b9df3f3507d7948ac6d7103f28775aad7f9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-24T05:45:41Z","title_canon_sha256":"ee1c758ae5400229a053c7f483df73f2030711ffc52302bfebbf9d78d9b83a75"},"schema_version":"1.0","source":{"id":"2507.18111","kind":"arxiv","version":1}},"canonical_sha256":"ab280f03a8a0e953c513639aae09eb69fcd5252981c603da2bc7a456951566a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ab280f03a8a0e953c513639aae09eb69fcd5252981c603da2bc7a456951566a6","first_computed_at":"2026-07-05T11:42:41.841719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:41.841719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7/6pBxEAFcJTuyqteqvIhaIFTEDDuJD+YZkywdCR3RSk84A8iw1DZMNMbUFgqQJZdOLY2YBVBdDXAHXeIYWcCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:41.842392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18111","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a13c1b9171db4e60ab227af46b4974c0a533e81949296b0774ad3c7b1c30e4df","sha256:5726492e73a6e829a7410156f8b13e40d426ed1899c7aaa3a7461975aff690a2"],"state_sha256":"e6c71f4e8e6e978e07cb58e75b7667635096b85bf5f7754590b41e89ef3404ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J8cIY4qD9crYFlnCrmDp+Hi0bNjyQIxn8L4+kNmAdFP0G3H5BulzEzghWIAg/lie2CxOEE38Twg3SXxdswGMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T15:11:51.597428Z","bundle_sha256":"abbd1ce62d5aae3cc5ffb744e2d73b694f398039d705c39c7f461b64a0f14702"}}