{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ALOBL2G2GA4YCWTSNQQCEGLSYI","short_pith_number":"pith:ALOBL2G2","canonical_record":{"source":{"id":"2308.06013","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-08-11T08:41:00Z","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"title_canon_sha256":"e87a19847e8c6e1d94a9d61865a190fbccd0bf373fe50396ca04dd955d48b76b","abstract_canon_sha256":"0d0c3b0f7672238a49c2c31ea437c7d6c3828006539b14c16c15abb2528d8b7e"},"schema_version":"1.0"},"canonical_sha256":"02dc15e8da3039815a726c20221972c22d13c6d96829fae730f0273a8a380658","source":{"kind":"arxiv","id":"2308.06013","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.06013","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2308.06013v2","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06013","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"ALOBL2G2GA4Y","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"ALOBL2G2GA4YCWTS","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"ALOBL2G2","created_at":"2026-07-05T07:48:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ALOBL2G2GA4YCWTSNQQCEGLSYI","target":"record","payload":{"canonical_record":{"source":{"id":"2308.06013","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-08-11T08:41:00Z","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"title_canon_sha256":"e87a19847e8c6e1d94a9d61865a190fbccd0bf373fe50396ca04dd955d48b76b","abstract_canon_sha256":"0d0c3b0f7672238a49c2c31ea437c7d6c3828006539b14c16c15abb2528d8b7e"},"schema_version":"1.0"},"canonical_sha256":"02dc15e8da3039815a726c20221972c22d13c6d96829fae730f0273a8a380658","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:47.812068Z","signature_b64":"fC09uxnSmWW4zdg3aui8Gm/kGOsj0FHnjcBLj+tc1WtLnrUL4+i/zzlVdbbTxnrZ4q1sSA7tiUY8qIU+xuM9DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02dc15e8da3039815a726c20221972c22d13c6d96829fae730f0273a8a380658","last_reissued_at":"2026-07-05T07:48:47.811661Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:47.811661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.06013","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":"2026-07-05T07:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RXpmUij9r4lo34aR8FQ9yIvxU9rU3/U/BXzLD+12MA1T1VJUjOtKs/ttw39xpK0vDvppMQHDAbR6KqxUhCncDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:33.436969Z"},"content_sha256":"083364e463fca6539d3a9bed9c9ae736ae951abcec7ea8543d37349602d42e67","schema_version":"1.0","event_id":"sha256:083364e463fca6539d3a9bed9c9ae736ae951abcec7ea8543d37349602d42e67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ALOBL2G2GA4YCWTSNQQCEGLSYI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models for Telecom: Forthcoming Impact on the Industry","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","math.IT"],"primary_cat":"cs.IT","authors_text":"Ali Maatouk, Antonio De Domenico, Fadhel Ayed, Merouane Debbah, Nicola Piovesan","submitted_at":"2023-08-11T08:41:00Z","abstract_excerpt":"Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and garnering unprecedented attention. As LLM technology continues to progress, the telecom industry is facing the prospect of its impact on its landscape. To elucidate these implications, we delve into the inner workings of LLMs, providing insights into their current capabilities and limitations. We also examine the use cases that can be readily implemented in the tele"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06013","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/2308.06013/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":"2026-07-05T07:48:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mjWYj+OTneedklSONJ4CC4pSpx2z+YM5XR1vguPDdtvlSLh0BTt0386SY/PRv1BuU2JOFfsoAYbmRcwLQBD7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:55:33.437476Z"},"content_sha256":"cd4d4fc3e444a625c4d1808a3e7faecea9a2bed67d5b40684e02ea81a1960598","schema_version":"1.0","event_id":"sha256:cd4d4fc3e444a625c4d1808a3e7faecea9a2bed67d5b40684e02ea81a1960598"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/bundle.json","state_url":"https://pith.science/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/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":"2026-08-08T09:55:33Z","links":{"resolver":"https://pith.science/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI","bundle":"https://pith.science/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/bundle.json","state":"https://pith.science/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALOBL2G2GA4YCWTSNQQCEGLSYI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ALOBL2G2GA4YCWTSNQQCEGLSYI","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":"0d0c3b0f7672238a49c2c31ea437c7d6c3828006539b14c16c15abb2528d8b7e","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-08-11T08:41:00Z","title_canon_sha256":"e87a19847e8c6e1d94a9d61865a190fbccd0bf373fe50396ca04dd955d48b76b"},"schema_version":"1.0","source":{"id":"2308.06013","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.06013","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"arxiv_version","alias_value":"2308.06013v2","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06013","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_12","alias_value":"ALOBL2G2GA4Y","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_16","alias_value":"ALOBL2G2GA4YCWTS","created_at":"2026-07-05T07:48:47Z"},{"alias_kind":"pith_short_8","alias_value":"ALOBL2G2","created_at":"2026-07-05T07:48:47Z"}],"graph_snapshots":[{"event_id":"sha256:cd4d4fc3e444a625c4d1808a3e7faecea9a2bed67d5b40684e02ea81a1960598","target":"graph","created_at":"2026-07-05T07:48:47Z","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/2308.06013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and garnering unprecedented attention. As LLM technology continues to progress, the telecom industry is facing the prospect of its impact on its landscape. To elucidate these implications, we delve into the inner workings of LLMs, providing insights into their current capabilities and limitations. We also examine the use cases that can be readily implemented in the tele","authors_text":"Ali Maatouk, Antonio De Domenico, Fadhel Ayed, Merouane Debbah, Nicola Piovesan","cross_cats":["cs.AI","cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-08-11T08:41:00Z","title":"Large Language Models for Telecom: Forthcoming Impact on the Industry"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06013","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":"sha256:083364e463fca6539d3a9bed9c9ae736ae951abcec7ea8543d37349602d42e67","target":"record","created_at":"2026-07-05T07:48:47Z","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":"0d0c3b0f7672238a49c2c31ea437c7d6c3828006539b14c16c15abb2528d8b7e","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2023-08-11T08:41:00Z","title_canon_sha256":"e87a19847e8c6e1d94a9d61865a190fbccd0bf373fe50396ca04dd955d48b76b"},"schema_version":"1.0","source":{"id":"2308.06013","kind":"arxiv","version":2}},"canonical_sha256":"02dc15e8da3039815a726c20221972c22d13c6d96829fae730f0273a8a380658","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02dc15e8da3039815a726c20221972c22d13c6d96829fae730f0273a8a380658","first_computed_at":"2026-07-05T07:48:47.811661Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:47.811661Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fC09uxnSmWW4zdg3aui8Gm/kGOsj0FHnjcBLj+tc1WtLnrUL4+i/zzlVdbbTxnrZ4q1sSA7tiUY8qIU+xuM9DA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:47.812068Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.06013","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:083364e463fca6539d3a9bed9c9ae736ae951abcec7ea8543d37349602d42e67","sha256:cd4d4fc3e444a625c4d1808a3e7faecea9a2bed67d5b40684e02ea81a1960598"],"state_sha256":"daa99609fdef4ed0d7f508ae0f045d1a467aaaf3c25c3ea9e485429fdea0d1ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZHHCt7zVWGPeUMy0vZ3Ar9krs/C7C6fV+kWXj3lYjsIMdoQDzMzThocFjmhdYL8QlBobkKG4TnGiU0lEJodsBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:55:33.440988Z","bundle_sha256":"dcaf67f5743bc80e932b88163b1709a16bd407b6912119f12d1551df2d4b6e23"}}