{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JPPK7COZRWHUBSKS5G4KWNVRE6","short_pith_number":"pith:JPPK7COZ","canonical_record":{"source":{"id":"2506.07295","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-08T21:36:26Z","cross_cats_sorted":[],"title_canon_sha256":"7c168e6a1cc067f63cf99b047f95b8f9b17917363942cf512d8299dde05cfcc3","abstract_canon_sha256":"f7dc354b4ec3dfff6f65628884437b415320b3769215c3f1d8447215ae3dfcbe"},"schema_version":"1.0"},"canonical_sha256":"4bdeaf89d98d8f40c952e9b8ab36b1278d6fdeb44df10b3eeb0a46c4f0c311b0","source":{"kind":"arxiv","id":"2506.07295","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07295","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07295v1","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07295","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"JPPK7COZRWHU","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"JPPK7COZRWHUBSKS","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"JPPK7COZ","created_at":"2026-07-05T11:18:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JPPK7COZRWHUBSKS5G4KWNVRE6","target":"record","payload":{"canonical_record":{"source":{"id":"2506.07295","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-08T21:36:26Z","cross_cats_sorted":[],"title_canon_sha256":"7c168e6a1cc067f63cf99b047f95b8f9b17917363942cf512d8299dde05cfcc3","abstract_canon_sha256":"f7dc354b4ec3dfff6f65628884437b415320b3769215c3f1d8447215ae3dfcbe"},"schema_version":"1.0"},"canonical_sha256":"4bdeaf89d98d8f40c952e9b8ab36b1278d6fdeb44df10b3eeb0a46c4f0c311b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:24.662399Z","signature_b64":"9PJTdsnRU+WgRY+Pur9s1aTOnBb8oZZlTiNFVMXKX1bIT6hIV+zMSYfEAN14Oeh8/xOp59z/r1q4LnHKeqJaCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bdeaf89d98d8f40c952e9b8ab36b1278d6fdeb44df10b3eeb0a46c4f0c311b0","last_reissued_at":"2026-07-05T11:18:24.661846Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:24.661846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.07295","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":"2026-07-05T11:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w96pbixGevu0UCzCzi7pPVE3UNckYflSv/5B/kRSmRfwegOVwVj6DNGoY3bkaSeH1TZp+GqohWNZeDyFYRgXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:11:30.847787Z"},"content_sha256":"7aa1ad90cffece330e885cc89c034f59c072b52fdd5f6be5d5e510c27cb373cd","schema_version":"1.0","event_id":"sha256:7aa1ad90cffece330e885cc89c034f59c072b52fdd5f6be5d5e510c27cb373cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JPPK7COZRWHUBSKS5G4KWNVRE6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring the Impact of Temperature on Large Language Models:Hot or Cold?","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Geoffrey Nichil, Lama Sleem, Lujun Li, Niccolo' Gentile, Radu State","submitted_at":"2025-06-08T21:36:26Z","abstract_excerpt":"The sampling temperature, a critical hyperparameter in large language models (LLMs), modifies the logits before the softmax layer, thereby reshaping the distribution of output tokens. Recent studies have challenged the Stochastic Parrots analogy by demonstrating that LLMs are capable of understanding semantics rather than merely memorizing data and that randomness, modulated by sampling temperature, plays a crucial role in model inference. In this study, we systematically evaluated the impact of temperature in the range of 0 to 2 on data sets designed to assess six different capabilities, cond"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07295","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/2506.07295/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":"2026-07-05T11:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D/90ExcHUgjdOgH/0cggvDlXI9NR6HW8sYm7i6L0qlBSbXXrSbKJkRCziRt75TNrlLuXwDu8fsjetmBoFp3bDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:11:30.848314Z"},"content_sha256":"3cb2421328c69a1464a263f80fdc34659cb5119fe62d83baa107a837f7e615db","schema_version":"1.0","event_id":"sha256:3cb2421328c69a1464a263f80fdc34659cb5119fe62d83baa107a837f7e615db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/bundle.json","state_url":"https://pith.science/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/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":"2026-08-13T04:11:30Z","links":{"resolver":"https://pith.science/pith/JPPK7COZRWHUBSKS5G4KWNVRE6","bundle":"https://pith.science/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/bundle.json","state":"https://pith.science/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JPPK7COZRWHUBSKS5G4KWNVRE6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JPPK7COZRWHUBSKS5G4KWNVRE6","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":"f7dc354b4ec3dfff6f65628884437b415320b3769215c3f1d8447215ae3dfcbe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-08T21:36:26Z","title_canon_sha256":"7c168e6a1cc067f63cf99b047f95b8f9b17917363942cf512d8299dde05cfcc3"},"schema_version":"1.0","source":{"id":"2506.07295","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07295","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07295v1","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07295","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"JPPK7COZRWHU","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"JPPK7COZRWHUBSKS","created_at":"2026-07-05T11:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"JPPK7COZ","created_at":"2026-07-05T11:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:3cb2421328c69a1464a263f80fdc34659cb5119fe62d83baa107a837f7e615db","target":"graph","created_at":"2026-07-05T11:18:24Z","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/2506.07295/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The sampling temperature, a critical hyperparameter in large language models (LLMs), modifies the logits before the softmax layer, thereby reshaping the distribution of output tokens. Recent studies have challenged the Stochastic Parrots analogy by demonstrating that LLMs are capable of understanding semantics rather than merely memorizing data and that randomness, modulated by sampling temperature, plays a crucial role in model inference. In this study, we systematically evaluated the impact of temperature in the range of 0 to 2 on data sets designed to assess six different capabilities, cond","authors_text":"Geoffrey Nichil, Lama Sleem, Lujun Li, Niccolo' Gentile, Radu State","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-08T21:36:26Z","title":"Exploring the Impact of Temperature on Large Language Models:Hot or Cold?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07295","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":"sha256:7aa1ad90cffece330e885cc89c034f59c072b52fdd5f6be5d5e510c27cb373cd","target":"record","created_at":"2026-07-05T11:18:24Z","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":"f7dc354b4ec3dfff6f65628884437b415320b3769215c3f1d8447215ae3dfcbe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-08T21:36:26Z","title_canon_sha256":"7c168e6a1cc067f63cf99b047f95b8f9b17917363942cf512d8299dde05cfcc3"},"schema_version":"1.0","source":{"id":"2506.07295","kind":"arxiv","version":1}},"canonical_sha256":"4bdeaf89d98d8f40c952e9b8ab36b1278d6fdeb44df10b3eeb0a46c4f0c311b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bdeaf89d98d8f40c952e9b8ab36b1278d6fdeb44df10b3eeb0a46c4f0c311b0","first_computed_at":"2026-07-05T11:18:24.661846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:24.661846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9PJTdsnRU+WgRY+Pur9s1aTOnBb8oZZlTiNFVMXKX1bIT6hIV+zMSYfEAN14Oeh8/xOp59z/r1q4LnHKeqJaCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:24.662399Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07295","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7aa1ad90cffece330e885cc89c034f59c072b52fdd5f6be5d5e510c27cb373cd","sha256:3cb2421328c69a1464a263f80fdc34659cb5119fe62d83baa107a837f7e615db"],"state_sha256":"dd62225552dd11f06f5276f5a3976738da38f8c876bbc677d4f340e1e5ee410b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cVJT3pP1NW4w5aPHOjoIDvUGTZrYOoFTwFXCp5fVrCZFsHJX6OlP2ARAncZ/JM+Aahdvv+H4yjuu8It7vwuqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T04:11:30.854820Z","bundle_sha256":"bf5a186f29e78c667dd9dd2a0e67f47241d7e676a42b9a44a474d968874ccff6"}}