{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:A33E7AHHW6BYKY3V24CCG4QFGA","short_pith_number":"pith:A33E7AHH","canonical_record":{"source":{"id":"2409.05314","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-09-09T03:58:51Z","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"title_canon_sha256":"86060f9a414c23f1aa80d0b9b71f3b9797051516d177d01fcc886ba21b61428b","abstract_canon_sha256":"423bf0309524d69305c2f3256bc885ee78f20b516d5646094e30c440f408bb43"},"schema_version":"1.0"},"canonical_sha256":"06f64f80e7b783856375d704237205303a0f9a7eee4aff1b1192183a35ea6dec","source":{"kind":"arxiv","id":"2409.05314","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.05314","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.05314v3","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.05314","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_12","alias_value":"A33E7AHHW6BY","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_16","alias_value":"A33E7AHHW6BYKY3V","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_8","alias_value":"A33E7AHH","created_at":"2026-07-05T10:58:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:A33E7AHHW6BYKY3V24CCG4QFGA","target":"record","payload":{"canonical_record":{"source":{"id":"2409.05314","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-09-09T03:58:51Z","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"title_canon_sha256":"86060f9a414c23f1aa80d0b9b71f3b9797051516d177d01fcc886ba21b61428b","abstract_canon_sha256":"423bf0309524d69305c2f3256bc885ee78f20b516d5646094e30c440f408bb43"},"schema_version":"1.0"},"canonical_sha256":"06f64f80e7b783856375d704237205303a0f9a7eee4aff1b1192183a35ea6dec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:18.342824Z","signature_b64":"Fe1nMAR64yECDYwMDIqGzSYPQAKFwHtTDB5V/B3N7j9jH4aBHFH8ieA/jPZW4YGoHt9tkNJRUjB78wdNfXcSBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06f64f80e7b783856375d704237205303a0f9a7eee4aff1b1192183a35ea6dec","last_reissued_at":"2026-07-05T10:58:18.342272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:18.342272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.05314","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:58:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uPxFGJ0qMDPj35YWWv28Db4Vpoek8L/q5ZQ0rsLY9uU9Zmdogt8N+ytsNIJq2CRn6yVr0Ajdb8g7XQrW9IYADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:32:08.676528Z"},"content_sha256":"c4dcb8fe712b6e953417724c585b940676c523b7c0a4547fd9ef42a11fd1b300","schema_version":"1.0","event_id":"sha256:c4dcb8fe712b6e953417724c585b940676c523b7c0a4547fd9ef42a11fd1b300"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:A33E7AHHW6BYKY3V24CCG4QFGA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications","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, Kenny Chirino Ampudia, Leandros Tassiulas, Rex Ying","submitted_at":"2024-09-09T03:58:51Z","abstract_excerpt":"The emergence of large language models (LLMs) has significantly impacted various fields, from natural language processing to sectors like medicine and finance. However, despite their rapid proliferation, the applications of LLMs in telecommunications remain limited, often relying on general-purpose models that lack domain-specific specialization. This lack of specialization results in underperformance, particularly when dealing with telecommunications-specific technical terminology and their associated mathematical representations. This paper addresses this gap by first creating and disseminat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.05314","kind":"arxiv","version":3},"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/2409.05314/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":"2026-07-05T10:58:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6X//dH3s2ONyD0C1NJl1J8afKXJONpLIgULhXcM1JiKGcNqwlHav1Jz0KekAiuNA13W9D6WnywerlOYe38QrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:32:08.677041Z"},"content_sha256":"6eccbe11beb46a0a6781e2c7cc68fef3a20096ced9ff3ec6fd2d092db0d7d0e9","schema_version":"1.0","event_id":"sha256:6eccbe11beb46a0a6781e2c7cc68fef3a20096ced9ff3ec6fd2d092db0d7d0e9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A33E7AHHW6BYKY3V24CCG4QFGA/bundle.json","state_url":"https://pith.science/pith/A33E7AHHW6BYKY3V24CCG4QFGA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A33E7AHHW6BYKY3V24CCG4QFGA/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":"2026-08-09T06:32:08Z","links":{"resolver":"https://pith.science/pith/A33E7AHHW6BYKY3V24CCG4QFGA","bundle":"https://pith.science/pith/A33E7AHHW6BYKY3V24CCG4QFGA/bundle.json","state":"https://pith.science/pith/A33E7AHHW6BYKY3V24CCG4QFGA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A33E7AHHW6BYKY3V24CCG4QFGA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A33E7AHHW6BYKY3V24CCG4QFGA","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":"423bf0309524d69305c2f3256bc885ee78f20b516d5646094e30c440f408bb43","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-09-09T03:58:51Z","title_canon_sha256":"86060f9a414c23f1aa80d0b9b71f3b9797051516d177d01fcc886ba21b61428b"},"schema_version":"1.0","source":{"id":"2409.05314","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.05314","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.05314v3","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.05314","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_12","alias_value":"A33E7AHHW6BY","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_16","alias_value":"A33E7AHHW6BYKY3V","created_at":"2026-07-05T10:58:18Z"},{"alias_kind":"pith_short_8","alias_value":"A33E7AHH","created_at":"2026-07-05T10:58:18Z"}],"graph_snapshots":[{"event_id":"sha256:6eccbe11beb46a0a6781e2c7cc68fef3a20096ced9ff3ec6fd2d092db0d7d0e9","target":"graph","created_at":"2026-07-05T10:58:18Z","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/2409.05314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of large language models (LLMs) has significantly impacted various fields, from natural language processing to sectors like medicine and finance. However, despite their rapid proliferation, the applications of LLMs in telecommunications remain limited, often relying on general-purpose models that lack domain-specific specialization. This lack of specialization results in underperformance, particularly when dealing with telecommunications-specific technical terminology and their associated mathematical representations. This paper addresses this gap by first creating and disseminat","authors_text":"Ali Maatouk, Kenny Chirino Ampudia, Leandros Tassiulas, Rex Ying","cross_cats":["cs.AI","cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-09-09T03:58:51Z","title":"Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.05314","kind":"arxiv","version":3},"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:c4dcb8fe712b6e953417724c585b940676c523b7c0a4547fd9ef42a11fd1b300","target":"record","created_at":"2026-07-05T10:58:18Z","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":"423bf0309524d69305c2f3256bc885ee78f20b516d5646094e30c440f408bb43","cross_cats_sorted":["cs.AI","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-09-09T03:58:51Z","title_canon_sha256":"86060f9a414c23f1aa80d0b9b71f3b9797051516d177d01fcc886ba21b61428b"},"schema_version":"1.0","source":{"id":"2409.05314","kind":"arxiv","version":3}},"canonical_sha256":"06f64f80e7b783856375d704237205303a0f9a7eee4aff1b1192183a35ea6dec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06f64f80e7b783856375d704237205303a0f9a7eee4aff1b1192183a35ea6dec","first_computed_at":"2026-07-05T10:58:18.342272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:18.342272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fe1nMAR64yECDYwMDIqGzSYPQAKFwHtTDB5V/B3N7j9jH4aBHFH8ieA/jPZW4YGoHt9tkNJRUjB78wdNfXcSBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:18.342824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.05314","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4dcb8fe712b6e953417724c585b940676c523b7c0a4547fd9ef42a11fd1b300","sha256:6eccbe11beb46a0a6781e2c7cc68fef3a20096ced9ff3ec6fd2d092db0d7d0e9"],"state_sha256":"17752a1027b61d1c48f8c3d66601f1a8e17ccd1421dc16c22ddd500778c8bcf1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wxLkkjbw+CeDbISDqgq/QeQSwCjmNo4wJpgbyX0I0ktS7Pl1NgK0W88eG+RH204tGohlYc4M3uTOLXy7NYzJDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:32:08.681090Z","bundle_sha256":"f92833d28d44322dd6c46d0726d1ec15deb47a6d0f9402edebb45920ce36dd06"}}