{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7H66TRU7ELO6BDPKHRGQBE2NH4","short_pith_number":"pith:7H66TRU7","canonical_record":{"source":{"id":"2506.10674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-12T13:04:18Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"9b1ff80ede9ff068f45178b83408127509e285d34d8aeafdd78721462b3254ca","abstract_canon_sha256":"926b0cfaf24d150306833beabffa6882c1821630ee3f6900a5c151527724c490"},"schema_version":"1.0"},"canonical_sha256":"f9fde9c69f22dde08dea3c4d00934d3f12169d5f687b81c46e724da7beb6a0ba","source":{"kind":"arxiv","id":"2506.10674","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10674","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10674v1","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10674","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"7H66TRU7ELO6","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"7H66TRU7ELO6BDPK","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"7H66TRU7","created_at":"2026-07-05T11:20:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7H66TRU7ELO6BDPKHRGQBE2NH4","target":"record","payload":{"canonical_record":{"source":{"id":"2506.10674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-12T13:04:18Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"9b1ff80ede9ff068f45178b83408127509e285d34d8aeafdd78721462b3254ca","abstract_canon_sha256":"926b0cfaf24d150306833beabffa6882c1821630ee3f6900a5c151527724c490"},"schema_version":"1.0"},"canonical_sha256":"f9fde9c69f22dde08dea3c4d00934d3f12169d5f687b81c46e724da7beb6a0ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:28.314176Z","signature_b64":"REuFfce4zwF6IYSPfTU3HWkukW/W1TZN5jIOQ7/xUxvflRL6bFR7YSk8qdlre1sDCVd011UGJPpamQiw8farCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9fde9c69f22dde08dea3c4d00934d3f12169d5f687b81c46e724da7beb6a0ba","last_reissued_at":"2026-07-05T11:20:28.313604Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:28.313604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.10674","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":"2026-07-05T11:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d4+qFPI/NFqHXPgWICdwfVI5Vvw1x98OzzgUb+gxc6NkSJ9gUPcRPIOXyFFmsZEgEjxi7WD1Rqqa0dUiGPD6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:35:54.795660Z"},"content_sha256":"6a6abec98320dfd9416e9621bb6d58fa7ee06d832537da39697d3873022f5dc5","schema_version":"1.0","event_id":"sha256:6a6abec98320dfd9416e9621bb6d58fa7ee06d832537da39697d3873022f5dc5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7H66TRU7ELO6BDPKHRGQBE2NH4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Antonio De Domenico, Fadhel Ayed, Merouane Debbah, Mohamed Sana, Nicola Piovesan, Vincenzo Colle","submitted_at":"2025-06-12T13:04:18Z","abstract_excerpt":"The increasing adoption of artificial intelligence in telecommunications has raised interest in the capability of Large Language Models (LLMs) to address domain-specific, mathematically intensive tasks. Although recent advancements have improved the performance of LLMs in general mathematical reasoning, their effectiveness within specialized domains, such as signal processing, network optimization, and performance analysis, remains largely unexplored. To address this gap, we introduce TeleMath, the first benchmark dataset specifically designed to evaluate LLM performance in solving mathematica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10674","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/2506.10674/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":"2026-07-05T11:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BjwBrC3E3WFzYd47LVerYTL/P/lzm/MAAbPLEgp9d9KPQ5dnKvZvKlIWSnle2fGvT5u+n5RbAHuH2NhDXS97Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:35:54.796199Z"},"content_sha256":"067ca827ca433b5077c8a76b0418646e75c0bb4f7f2075fd8db7a50fa5c19469","schema_version":"1.0","event_id":"sha256:067ca827ca433b5077c8a76b0418646e75c0bb4f7f2075fd8db7a50fa5c19469"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/bundle.json","state_url":"https://pith.science/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/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":"2026-08-08T09:35:54Z","links":{"resolver":"https://pith.science/pith/7H66TRU7ELO6BDPKHRGQBE2NH4","bundle":"https://pith.science/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/bundle.json","state":"https://pith.science/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7H66TRU7ELO6BDPKHRGQBE2NH4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7H66TRU7ELO6BDPKHRGQBE2NH4","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":"926b0cfaf24d150306833beabffa6882c1821630ee3f6900a5c151527724c490","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-12T13:04:18Z","title_canon_sha256":"9b1ff80ede9ff068f45178b83408127509e285d34d8aeafdd78721462b3254ca"},"schema_version":"1.0","source":{"id":"2506.10674","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10674","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10674v1","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10674","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"7H66TRU7ELO6","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"7H66TRU7ELO6BDPK","created_at":"2026-07-05T11:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"7H66TRU7","created_at":"2026-07-05T11:20:28Z"}],"graph_snapshots":[{"event_id":"sha256:067ca827ca433b5077c8a76b0418646e75c0bb4f7f2075fd8db7a50fa5c19469","target":"graph","created_at":"2026-07-05T11:20:28Z","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/2506.10674/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing adoption of artificial intelligence in telecommunications has raised interest in the capability of Large Language Models (LLMs) to address domain-specific, mathematically intensive tasks. Although recent advancements have improved the performance of LLMs in general mathematical reasoning, their effectiveness within specialized domains, such as signal processing, network optimization, and performance analysis, remains largely unexplored. To address this gap, we introduce TeleMath, the first benchmark dataset specifically designed to evaluate LLM performance in solving mathematica","authors_text":"Antonio De Domenico, Fadhel Ayed, Merouane Debbah, Mohamed Sana, Nicola Piovesan, Vincenzo Colle","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-12T13:04:18Z","title":"TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10674","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":"sha256:6a6abec98320dfd9416e9621bb6d58fa7ee06d832537da39697d3873022f5dc5","target":"record","created_at":"2026-07-05T11:20:28Z","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":"926b0cfaf24d150306833beabffa6882c1821630ee3f6900a5c151527724c490","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-12T13:04:18Z","title_canon_sha256":"9b1ff80ede9ff068f45178b83408127509e285d34d8aeafdd78721462b3254ca"},"schema_version":"1.0","source":{"id":"2506.10674","kind":"arxiv","version":1}},"canonical_sha256":"f9fde9c69f22dde08dea3c4d00934d3f12169d5f687b81c46e724da7beb6a0ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9fde9c69f22dde08dea3c4d00934d3f12169d5f687b81c46e724da7beb6a0ba","first_computed_at":"2026-07-05T11:20:28.313604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:28.313604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"REuFfce4zwF6IYSPfTU3HWkukW/W1TZN5jIOQ7/xUxvflRL6bFR7YSk8qdlre1sDCVd011UGJPpamQiw8farCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:28.314176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.10674","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a6abec98320dfd9416e9621bb6d58fa7ee06d832537da39697d3873022f5dc5","sha256:067ca827ca433b5077c8a76b0418646e75c0bb4f7f2075fd8db7a50fa5c19469"],"state_sha256":"274f5565d97249521a11d128c544b57238b72eaa14d61e6b094bd42b870f3036"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IQNs85ONsvULjWwFwxd7irOlLUQFPz1MXtvCSfn8QO07OTBq28Iw44tqZ+IRmqwbP4Q3h3pP701phzUk0axhCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:35:54.800509Z","bundle_sha256":"a6552d5d8df6d880f68f4e0d2f4552d25a693cde8e5ce124bd0117d9c75e3e89"}}