{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2QRYJ4NPI6YE4ZIUVPT7SU7JE6","short_pith_number":"pith:2QRYJ4NP","canonical_record":{"source":{"id":"2501.10630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-18T02:14:56Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"441bf65fbce2f82bc716446116d45df80eb48aad3408dcc7b548b33267c1e0f8","abstract_canon_sha256":"54d03b399679c3c7b57e0f0066edb0b4e623f18531586e4d1dd81a5f2dc0ba67"},"schema_version":"1.0"},"canonical_sha256":"d42384f1af47b04e6514abe7f953e927bfe017c409bdd051dde8817b7e6892a6","source":{"kind":"arxiv","id":"2501.10630","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10630","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10630v1","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10630","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"2QRYJ4NPI6YE","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"2QRYJ4NPI6YE4ZIU","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"2QRYJ4NP","created_at":"2026-07-05T10:02:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2QRYJ4NPI6YE4ZIUVPT7SU7JE6","target":"record","payload":{"canonical_record":{"source":{"id":"2501.10630","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-18T02:14:56Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"441bf65fbce2f82bc716446116d45df80eb48aad3408dcc7b548b33267c1e0f8","abstract_canon_sha256":"54d03b399679c3c7b57e0f0066edb0b4e623f18531586e4d1dd81a5f2dc0ba67"},"schema_version":"1.0"},"canonical_sha256":"d42384f1af47b04e6514abe7f953e927bfe017c409bdd051dde8817b7e6892a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:30.989607Z","signature_b64":"EbOp1sW4UnCySwIb5NDDYtAZJLNv/NXRlMXh8PbXf0y1uQzkZ4h+kTbe0LN1vqfCz/LGBjvLgCH+UMo23/i5Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d42384f1af47b04e6514abe7f953e927bfe017c409bdd051dde8817b7e6892a6","last_reissued_at":"2026-07-05T10:02:30.989223Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:30.989223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.10630","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o9CBAdKVBAUjHE3ITIL6sBoc2+GrFaYcOjHhqk8Rn97PPlyzmfMW18Cj/S3Fuhq9XCy/ibAXOgN3Xbd4XH1/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:29:53.016188Z"},"content_sha256":"eb2861dd52641a816080783fb350a51e4bbcccd78e41f07ff3de72f495ceb6b1","schema_version":"1.0","event_id":"sha256:eb2861dd52641a816080783fb350a51e4bbcccd78e41f07ff3de72f495ceb6b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2QRYJ4NPI6YE4ZIUVPT7SU7JE6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Chao-Kai Wen, En Tong, Jiajia Guo, Shi Jin, Yiming Cui","submitted_at":"2025-01-18T02:14:56Z","abstract_excerpt":"Large language models (LLMs) have achieved remarkable success across a wide range of tasks, particularly in natural language processing and computer vision. This success naturally raises an intriguing yet unexplored question: Can LLMs be harnessed to tackle channel state information (CSI) compression and feedback in massive multiple-input multiple-output (MIMO) systems? Efficient CSI feedback is a critical challenge in next-generation wireless communication. In this paper, we pioneer the use of LLMs for CSI compression, introducing a novel framework that leverages the powerful denoising capabi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10630","kind":"arxiv","version":1},"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/2501.10630/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":"2026-07-05T10:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KSegNbTUI2j4BWXX1B/VLiVX9Fzfp/kJJUOthaXBMXT0P9dmg72TJPHP45/R70INVThxRc6KOL/MtlRHG4EzBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:29:53.016754Z"},"content_sha256":"9aab6bcc31d175163771c011ee2bbce6d9bbe977603e8958ff4b6e459307d068","schema_version":"1.0","event_id":"sha256:9aab6bcc31d175163771c011ee2bbce6d9bbe977603e8958ff4b6e459307d068"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/bundle.json","state_url":"https://pith.science/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/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":"2026-08-13T03:29:53Z","links":{"resolver":"https://pith.science/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6","bundle":"https://pith.science/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/bundle.json","state":"https://pith.science/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QRYJ4NPI6YE4ZIUVPT7SU7JE6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2QRYJ4NPI6YE4ZIUVPT7SU7JE6","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":"54d03b399679c3c7b57e0f0066edb0b4e623f18531586e4d1dd81a5f2dc0ba67","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-18T02:14:56Z","title_canon_sha256":"441bf65fbce2f82bc716446116d45df80eb48aad3408dcc7b548b33267c1e0f8"},"schema_version":"1.0","source":{"id":"2501.10630","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10630","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10630v1","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10630","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"2QRYJ4NPI6YE","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"2QRYJ4NPI6YE4ZIU","created_at":"2026-07-05T10:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"2QRYJ4NP","created_at":"2026-07-05T10:02:30Z"}],"graph_snapshots":[{"event_id":"sha256:9aab6bcc31d175163771c011ee2bbce6d9bbe977603e8958ff4b6e459307d068","target":"graph","created_at":"2026-07-05T10:02:30Z","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/2501.10630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have achieved remarkable success across a wide range of tasks, particularly in natural language processing and computer vision. This success naturally raises an intriguing yet unexplored question: Can LLMs be harnessed to tackle channel state information (CSI) compression and feedback in massive multiple-input multiple-output (MIMO) systems? Efficient CSI feedback is a critical challenge in next-generation wireless communication. In this paper, we pioneer the use of LLMs for CSI compression, introducing a novel framework that leverages the powerful denoising capabi","authors_text":"Chao-Kai Wen, En Tong, Jiajia Guo, Shi Jin, Yiming Cui","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-18T02:14:56Z","title":"Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10630","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:eb2861dd52641a816080783fb350a51e4bbcccd78e41f07ff3de72f495ceb6b1","target":"record","created_at":"2026-07-05T10:02:30Z","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":"54d03b399679c3c7b57e0f0066edb0b4e623f18531586e4d1dd81a5f2dc0ba67","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-18T02:14:56Z","title_canon_sha256":"441bf65fbce2f82bc716446116d45df80eb48aad3408dcc7b548b33267c1e0f8"},"schema_version":"1.0","source":{"id":"2501.10630","kind":"arxiv","version":1}},"canonical_sha256":"d42384f1af47b04e6514abe7f953e927bfe017c409bdd051dde8817b7e6892a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d42384f1af47b04e6514abe7f953e927bfe017c409bdd051dde8817b7e6892a6","first_computed_at":"2026-07-05T10:02:30.989223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:30.989223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EbOp1sW4UnCySwIb5NDDYtAZJLNv/NXRlMXh8PbXf0y1uQzkZ4h+kTbe0LN1vqfCz/LGBjvLgCH+UMo23/i5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:30.989607Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.10630","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb2861dd52641a816080783fb350a51e4bbcccd78e41f07ff3de72f495ceb6b1","sha256:9aab6bcc31d175163771c011ee2bbce6d9bbe977603e8958ff4b6e459307d068"],"state_sha256":"f3c336fcbac46c92e8e12abf294bf1f04fc9b4195c2018490e95457535e95aa1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V2g9kDKotNN8iGSK3kJqeVo1905HOxK3GkDkx1g5AL5u6ozoCk9OH4dZzqvskscsWgpWJNMx2tQdHrMo3dxPAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T03:29:53.021832Z","bundle_sha256":"418a6bba49eaf8eaaadd2e7d711b564a770ff840666d246da4106b2d34c135e9"}}