{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4S4JG2M2WSGZER7EYS7JQADYCG","short_pith_number":"pith:4S4JG2M2","canonical_record":{"source":{"id":"2402.01748","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-01-30T00:21:41Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"9a68591aea586af9458d0790a17a531a8a4f87ec52524accdf78dfff7d6a80f8","abstract_canon_sha256":"910508d8e4cd959b1d7c5a2423227235d9cd1203809343dc8f6fa8eddf70c6c7"},"schema_version":"1.0"},"canonical_sha256":"e4b893699ab48d9247e4c4be98007811be282dffdd1555724d271ffdace60323","source":{"kind":"arxiv","id":"2402.01748","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01748","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01748v2","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01748","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_12","alias_value":"4S4JG2M2WSGZ","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_16","alias_value":"4S4JG2M2WSGZER7E","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_8","alias_value":"4S4JG2M2","created_at":"2026-07-05T07:42:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4S4JG2M2WSGZER7EYS7JQADYCG","target":"record","payload":{"canonical_record":{"source":{"id":"2402.01748","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-01-30T00:21:41Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"9a68591aea586af9458d0790a17a531a8a4f87ec52524accdf78dfff7d6a80f8","abstract_canon_sha256":"910508d8e4cd959b1d7c5a2423227235d9cd1203809343dc8f6fa8eddf70c6c7"},"schema_version":"1.0"},"canonical_sha256":"e4b893699ab48d9247e4c4be98007811be282dffdd1555724d271ffdace60323","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:42:23.970846Z","signature_b64":"DrfKn6jCbeVd/Y/s9gQ23PqFNgM/LMfvdDeYtkNpFPKvOHg9qWvCyw+0XJksRpqw5M6nTyFyglC/ZTkymHkOBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4b893699ab48d9247e4c4be98007811be282dffdd1555724d271ffdace60323","last_reissued_at":"2026-07-05T07:42:23.970361Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:42:23.970361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.01748","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":"2026-07-05T07:42:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DfNeaZU2od3kiqhHqViQPAE7ahmVYdNd5Gk7mZEMWDiyxP4uMHD6bAAbV/JZauTFFRp7aG+gZWfFhbwnLhAeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:21:30.520600Z"},"content_sha256":"106abc382a0976de048b721adcd1de60b1ae9604c08f1a81d82dcc862b897b76","schema_version":"1.0","event_id":"sha256:106abc382a0976de048b721adcd1de60b1ae9604c08f1a81d82dcc862b897b76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4S4JG2M2WSGZER7EYS7JQADYCG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.NI","authors_text":"Christo Kurisummoottil Thomas, Naren Ramakrishnan, Nikhil Muralidhar, Omar Hashash, Shengzhe Xu, Walid Saad","submitted_at":"2024-01-30T00:21:41Z","abstract_excerpt":"Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing language models that were designed for natural language processing (NLP) applications. To address this challenge and create wireless-centric foundation models, this paper presents a comprehensive vision on how to design universal foundation models that are tailored towards the deployment of artificial intelligence (AI)-native networks. Diverging from NLP-based foundation models, the p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01748","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/2402.01748/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":"2026-07-05T07:42:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lwe0LGPQwl6CMD01qUZQ4NcaQ/RanVhRy37+vYWHsp24Oyo5X5sgrAgITumluiUvHTGd6ld6mc4gf7waGiUkAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:21:30.521278Z"},"content_sha256":"eb6d56f1d460450b50e04b8e54e7f137d588dce6c60eabaeab612b95b3bdd1aa","schema_version":"1.0","event_id":"sha256:eb6d56f1d460450b50e04b8e54e7f137d588dce6c60eabaeab612b95b3bdd1aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4S4JG2M2WSGZER7EYS7JQADYCG/bundle.json","state_url":"https://pith.science/pith/4S4JG2M2WSGZER7EYS7JQADYCG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4S4JG2M2WSGZER7EYS7JQADYCG/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":"2026-08-04T05:21:30Z","links":{"resolver":"https://pith.science/pith/4S4JG2M2WSGZER7EYS7JQADYCG","bundle":"https://pith.science/pith/4S4JG2M2WSGZER7EYS7JQADYCG/bundle.json","state":"https://pith.science/pith/4S4JG2M2WSGZER7EYS7JQADYCG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4S4JG2M2WSGZER7EYS7JQADYCG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4S4JG2M2WSGZER7EYS7JQADYCG","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":"910508d8e4cd959b1d7c5a2423227235d9cd1203809343dc8f6fa8eddf70c6c7","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-01-30T00:21:41Z","title_canon_sha256":"9a68591aea586af9458d0790a17a531a8a4f87ec52524accdf78dfff7d6a80f8"},"schema_version":"1.0","source":{"id":"2402.01748","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01748","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01748v2","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01748","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_12","alias_value":"4S4JG2M2WSGZ","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_16","alias_value":"4S4JG2M2WSGZER7E","created_at":"2026-07-05T07:42:23Z"},{"alias_kind":"pith_short_8","alias_value":"4S4JG2M2","created_at":"2026-07-05T07:42:23Z"}],"graph_snapshots":[{"event_id":"sha256:eb6d56f1d460450b50e04b8e54e7f137d588dce6c60eabaeab612b95b3bdd1aa","target":"graph","created_at":"2026-07-05T07:42:23Z","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/2402.01748/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing language models that were designed for natural language processing (NLP) applications. To address this challenge and create wireless-centric foundation models, this paper presents a comprehensive vision on how to design universal foundation models that are tailored towards the deployment of artificial intelligence (AI)-native networks. Diverging from NLP-based foundation models, the p","authors_text":"Christo Kurisummoottil Thomas, Naren Ramakrishnan, Nikhil Muralidhar, Omar Hashash, Shengzhe Xu, Walid Saad","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-01-30T00:21:41Z","title":"Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01748","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":"sha256:106abc382a0976de048b721adcd1de60b1ae9604c08f1a81d82dcc862b897b76","target":"record","created_at":"2026-07-05T07:42:23Z","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":"910508d8e4cd959b1d7c5a2423227235d9cd1203809343dc8f6fa8eddf70c6c7","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-01-30T00:21:41Z","title_canon_sha256":"9a68591aea586af9458d0790a17a531a8a4f87ec52524accdf78dfff7d6a80f8"},"schema_version":"1.0","source":{"id":"2402.01748","kind":"arxiv","version":2}},"canonical_sha256":"e4b893699ab48d9247e4c4be98007811be282dffdd1555724d271ffdace60323","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4b893699ab48d9247e4c4be98007811be282dffdd1555724d271ffdace60323","first_computed_at":"2026-07-05T07:42:23.970361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:42:23.970361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DrfKn6jCbeVd/Y/s9gQ23PqFNgM/LMfvdDeYtkNpFPKvOHg9qWvCyw+0XJksRpqw5M6nTyFyglC/ZTkymHkOBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:42:23.970846Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.01748","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:106abc382a0976de048b721adcd1de60b1ae9604c08f1a81d82dcc862b897b76","sha256:eb6d56f1d460450b50e04b8e54e7f137d588dce6c60eabaeab612b95b3bdd1aa"],"state_sha256":"e92f658ca35384bb230b1328d65571ec26f2cfd3ad8a7fd839a0025bdb523019"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dkFl+hzuMHS5zdMBHnu9FXYoVp3hZS7fRpVlt6U+5u5n8IRz/YwDIZRbghEpLqqFkUp7boMSrz70tOTh79qKCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T05:21:30.525482Z","bundle_sha256":"43520a33dc2a6a63668defd0de8e6e7ea97347e79feea5bd85507217b50f7a32"}}