{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LQ3JI7GFSRHJVGJJGYPJKFHLNQ","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":"a3c67e04988f10dbd17eae622d01e462582afa94fac48c02e442e29d47361f8f","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T16:52:11Z","title_canon_sha256":"b12c9048aeade94ab7676b32a13dd9705c4ee8bb3355ca2afe060a03c677862b"},"schema_version":"1.0","source":{"id":"2505.14603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14603","created_at":"2026-07-05T11:06:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14603v1","created_at":"2026-07-05T11:06:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14603","created_at":"2026-07-05T11:06:16Z"},{"alias_kind":"pith_short_12","alias_value":"LQ3JI7GFSRHJ","created_at":"2026-07-05T11:06:16Z"},{"alias_kind":"pith_short_16","alias_value":"LQ3JI7GFSRHJVGJJ","created_at":"2026-07-05T11:06:16Z"},{"alias_kind":"pith_short_8","alias_value":"LQ3JI7GF","created_at":"2026-07-05T11:06:16Z"}],"graph_snapshots":[{"event_id":"sha256:5063b44b574e4fa6bcf4bfb8160f2882f6b190c207322b5b9db05397df73bf25","target":"graph","created_at":"2026-07-05T11:06:16Z","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/2505.14603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial Intelligence (AI) has demonstrated unprecedented performance across various domains, and its application to communication systems is an active area of research. While current methods focus on task-specific solutions, the broader trend in AI is shifting toward large general models capable of supporting multiple applications. In this work, we take a step toward a foundation model for communication data--a transformer-based, multi-modal model designed to operate directly on communication data. We propose methodologies to address key challenges, including tokenization, positional embedd","authors_text":"Chien-Yi Wang, Da-shan Shiu, Davide Buffelli, Masoud Attarifar, Pritthijit Nath, Sattar Vakili, Sowmen Das, Yu-Wei Lin","cross_cats":["cs.LG","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T16:52:11Z","title":"Towards a Foundation Model for Communication Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14603","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":"sha256:1c65f3c0a99c9a78528e91fcb79401feaf36aedda2d96d49b9908d1dd39d711f","target":"record","created_at":"2026-07-05T11:06:16Z","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":"a3c67e04988f10dbd17eae622d01e462582afa94fac48c02e442e29d47361f8f","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-05-20T16:52:11Z","title_canon_sha256":"b12c9048aeade94ab7676b32a13dd9705c4ee8bb3355ca2afe060a03c677862b"},"schema_version":"1.0","source":{"id":"2505.14603","kind":"arxiv","version":1}},"canonical_sha256":"5c36947cc5944e9a9929361e9514eb6c3354c1f9f81abcf475529ed5538a6310","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c36947cc5944e9a9929361e9514eb6c3354c1f9f81abcf475529ed5538a6310","first_computed_at":"2026-07-05T11:06:16.425120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:16.425120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oqc9/ZCNxu1GJ0U2MQ82tr65v6KvKQgiQTp40wZ1IihGrcUP2zY+mMyyRoXUqbMAwKorVoKKoYdj2vY8y5IVBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:16.425700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c65f3c0a99c9a78528e91fcb79401feaf36aedda2d96d49b9908d1dd39d711f","sha256:5063b44b574e4fa6bcf4bfb8160f2882f6b190c207322b5b9db05397df73bf25"],"state_sha256":"25cca4a93f6454154152e71e31108dc2127114c80667999220147f1659d65060"}