{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7AKDMS7YRMMYUA77EKFB7RZEG6","short_pith_number":"pith:7AKDMS7Y","canonical_record":{"source":{"id":"2406.06059","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-06-10T07:13:54Z","cross_cats_sorted":[],"title_canon_sha256":"8aa18977d643ff1e7be5f339960a60f1c71bb204c40f7b2c1be36bcbb49a8d0d","abstract_canon_sha256":"042131988d8f0ee004c6216e234b3d78db59d0e8c67c44d05bd39185d5f8c4da"},"schema_version":"1.0"},"canonical_sha256":"f814364bf88b198a03ff228a1fc72437960e734778e83826f25e0539dffdc91a","source":{"kind":"arxiv","id":"2406.06059","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06059","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06059v2","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06059","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"7AKDMS7YRMMY","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"7AKDMS7YRMMYUA77","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"7AKDMS7Y","created_at":"2026-07-05T09:53:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7AKDMS7YRMMYUA77EKFB7RZEG6","target":"record","payload":{"canonical_record":{"source":{"id":"2406.06059","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-06-10T07:13:54Z","cross_cats_sorted":[],"title_canon_sha256":"8aa18977d643ff1e7be5f339960a60f1c71bb204c40f7b2c1be36bcbb49a8d0d","abstract_canon_sha256":"042131988d8f0ee004c6216e234b3d78db59d0e8c67c44d05bd39185d5f8c4da"},"schema_version":"1.0"},"canonical_sha256":"f814364bf88b198a03ff228a1fc72437960e734778e83826f25e0539dffdc91a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:01.892125Z","signature_b64":"olYTCHmPK+/aHsVX9H0iC+4ecVJJL0lPhEhTjNvjuRJqjJnrVLH30pZPc5j0t6d/aCvEoqXHjScJ3D8DaOXsDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f814364bf88b198a03ff228a1fc72437960e734778e83826f25e0539dffdc91a","last_reissued_at":"2026-07-05T09:53:01.891706Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:01.891706Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.06059","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":"2026-07-05T09:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SEP46hS1pr1HoI11NHEqwipXkBHGwKCt1xrWZdw/7Bzjcui5Tu573wdXjw/sYNO03UhYkK8ka0kZe1jJ2OXLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:14:40.179843Z"},"content_sha256":"5904b7695597ff459ff9c13fff57e78ed61e6c5e57d41ac487adecfd59ce4ccf","schema_version":"1.0","event_id":"sha256:5904b7695597ff459ff9c13fff57e78ed61e6c5e57d41ac487adecfd59ce4ccf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7AKDMS7YRMMYUA77EKFB7RZEG6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Majid Bavand, Md Arafat Habib, Medhat Elsayed, Melike Erol-Kantarci, Pedro Enrique Iturria Rivera, Raimundus Gaigalas, Yigit Ozcan","submitted_at":"2024-06-10T07:13:54Z","abstract_excerpt":"Intent-based network automation is a promising tool to enable easier network management however certain challenges need to be effectively addressed. These are: 1) processing intents, i.e., identification of logic and necessary parameters to fulfill an intent, 2) validating an intent to align it with current network status, and 3) satisfying intents via network optimizing functions like xApps and rApps in O-RAN. This paper addresses these points via a three-fold strategy to introduce intent-based automation for O-RAN. First, intents are processed via a lightweight Large Language Model (LLM). Se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06059","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/2406.06059/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":"2026-07-05T09:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"njVKhsGLStwN1RdEZ2VcxNUSQhDB0iwzvVyMzPtCxabJ3SJbCg8S3smXlebSZ1hSqEtzexip8MoQ3iK5Fww2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:14:40.180348Z"},"content_sha256":"d80160942440d1c2536211e85ed4127acd9d5a39bc8992ee96d16c72f668712b","schema_version":"1.0","event_id":"sha256:d80160942440d1c2536211e85ed4127acd9d5a39bc8992ee96d16c72f668712b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/bundle.json","state_url":"https://pith.science/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/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":"2026-08-09T14:14:40Z","links":{"resolver":"https://pith.science/pith/7AKDMS7YRMMYUA77EKFB7RZEG6","bundle":"https://pith.science/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/bundle.json","state":"https://pith.science/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7AKDMS7YRMMYUA77EKFB7RZEG6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7AKDMS7YRMMYUA77EKFB7RZEG6","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":"042131988d8f0ee004c6216e234b3d78db59d0e8c67c44d05bd39185d5f8c4da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-06-10T07:13:54Z","title_canon_sha256":"8aa18977d643ff1e7be5f339960a60f1c71bb204c40f7b2c1be36bcbb49a8d0d"},"schema_version":"1.0","source":{"id":"2406.06059","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06059","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06059v2","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06059","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"7AKDMS7YRMMY","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"7AKDMS7YRMMYUA77","created_at":"2026-07-05T09:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"7AKDMS7Y","created_at":"2026-07-05T09:53:01Z"}],"graph_snapshots":[{"event_id":"sha256:d80160942440d1c2536211e85ed4127acd9d5a39bc8992ee96d16c72f668712b","target":"graph","created_at":"2026-07-05T09:53:01Z","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/2406.06059/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intent-based network automation is a promising tool to enable easier network management however certain challenges need to be effectively addressed. These are: 1) processing intents, i.e., identification of logic and necessary parameters to fulfill an intent, 2) validating an intent to align it with current network status, and 3) satisfying intents via network optimizing functions like xApps and rApps in O-RAN. This paper addresses these points via a three-fold strategy to introduce intent-based automation for O-RAN. First, intents are processed via a lightweight Large Language Model (LLM). Se","authors_text":"Majid Bavand, Md Arafat Habib, Medhat Elsayed, Melike Erol-Kantarci, Pedro Enrique Iturria Rivera, Raimundus Gaigalas, Yigit Ozcan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-06-10T07:13:54Z","title":"LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06059","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":"sha256:5904b7695597ff459ff9c13fff57e78ed61e6c5e57d41ac487adecfd59ce4ccf","target":"record","created_at":"2026-07-05T09:53:01Z","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":"042131988d8f0ee004c6216e234b3d78db59d0e8c67c44d05bd39185d5f8c4da","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-06-10T07:13:54Z","title_canon_sha256":"8aa18977d643ff1e7be5f339960a60f1c71bb204c40f7b2c1be36bcbb49a8d0d"},"schema_version":"1.0","source":{"id":"2406.06059","kind":"arxiv","version":2}},"canonical_sha256":"f814364bf88b198a03ff228a1fc72437960e734778e83826f25e0539dffdc91a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f814364bf88b198a03ff228a1fc72437960e734778e83826f25e0539dffdc91a","first_computed_at":"2026-07-05T09:53:01.891706Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:01.891706Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"olYTCHmPK+/aHsVX9H0iC+4ecVJJL0lPhEhTjNvjuRJqjJnrVLH30pZPc5j0t6d/aCvEoqXHjScJ3D8DaOXsDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:01.892125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06059","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5904b7695597ff459ff9c13fff57e78ed61e6c5e57d41ac487adecfd59ce4ccf","sha256:d80160942440d1c2536211e85ed4127acd9d5a39bc8992ee96d16c72f668712b"],"state_sha256":"c6965f72d813f22a3601a095cf0ccd1b5dd2c689c2f2c457647abc6c7ca74c08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jPIkeLNxgrPJCzEmd/p8NvUbRAJTER4eKESPgeILjGA+HvXN0VK9ISAwM99l4ts7dA2lbCLXuno7RIU7aC2cCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T14:14:40.184130Z","bundle_sha256":"c23d853977a3159379ce8df2b3c27c60ab3ebd6f0dddf48c6f9a3e5780608f53"}}