{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:K3FWMKIVZHNMGVMHIUKTOEHR7V","short_pith_number":"pith:K3FWMKIV","canonical_record":{"source":{"id":"2506.12204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T20:15:58Z","cross_cats_sorted":["cs.AI","cs.OS"],"title_canon_sha256":"21e7c33add9316cae9b18033a13d4eb3c11d1fbc83df7d5fe070b74fdfe656eb","abstract_canon_sha256":"9abd63f805bf414ab8e2b78889f54dbd62583eb29796aeecf54a33f171f00538"},"schema_version":"1.0"},"canonical_sha256":"56cb662915c9dac3558745153710f1fd5a761009b45e1a8bab7bd2c75e22e94e","source":{"kind":"arxiv","id":"2506.12204","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12204","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12204v1","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12204","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"K3FWMKIVZHNM","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"K3FWMKIVZHNMGVMH","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"K3FWMKIV","created_at":"2026-07-05T11:21:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:K3FWMKIVZHNMGVMHIUKTOEHR7V","target":"record","payload":{"canonical_record":{"source":{"id":"2506.12204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T20:15:58Z","cross_cats_sorted":["cs.AI","cs.OS"],"title_canon_sha256":"21e7c33add9316cae9b18033a13d4eb3c11d1fbc83df7d5fe070b74fdfe656eb","abstract_canon_sha256":"9abd63f805bf414ab8e2b78889f54dbd62583eb29796aeecf54a33f171f00538"},"schema_version":"1.0"},"canonical_sha256":"56cb662915c9dac3558745153710f1fd5a761009b45e1a8bab7bd2c75e22e94e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:23.271265Z","signature_b64":"JznfuHXifaDxLEUusiK35TFFUXmtsKmTvoTNb8bigOH96Mo3bm4K2HBHIskFGecf9IhKlWfxNYa0h5MpzqH2DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"56cb662915c9dac3558745153710f1fd5a761009b45e1a8bab7bd2c75e22e94e","last_reissued_at":"2026-07-05T11:21:23.270807Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:23.270807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.12204","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":"2026-07-05T11:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rERtQdavL9lrbcKJb4s2kU4GaYK3ZiXsBwHiKRXVX6xr7ieVKo0ALUOEa4euMVT9C9KOuJ2ueGkKUfOiItGyBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:43:46.924623Z"},"content_sha256":"3ec7c0a67ba93561ed867de278eab6d05558eeacb16a54be0080b4a07af2e3ea","schema_version":"1.0","event_id":"sha256:3ec7c0a67ba93561ed867de278eab6d05558eeacb16a54be0080b4a07af2e3ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:K3FWMKIVZHNMGVMHIUKTOEHR7V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Scheduling for LLM Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.OS"],"primary_cat":"cs.LG","authors_text":"Dujian Ding, Kai Mei, Minghua Ma, Wenyue Hua, William Yang Wang, Yile Gu, YuJie Ren","submitted_at":"2025-06-13T20:15:58Z","abstract_excerpt":"Conventional operating system scheduling algorithms are largely content-ignorant, making decisions based on factors such as latency or fairness without considering the actual intents or semantics of processes. Consequently, these algorithms often do not prioritize tasks that require urgent attention or carry higher importance, such as in emergency management scenarios. However, recent advances in language models enable semantic analysis of processes, allowing for more intelligent and context-aware scheduling decisions. In this paper, we introduce the concept of semantic scheduling in schedulin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12204","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/2506.12204/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":"2026-07-05T11:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"13exGSIkc3UqcdLR4lMJoIe/ze300uI2otuz7gm7M9tE29UidzOsr6ic6f96niLJzq3EyS3CtLWCgYbnHJHLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:43:46.925443Z"},"content_sha256":"5643b77ed09faf95784484d3e600c0dd88e812fd0c6275a5fb709d7ae59dc74b","schema_version":"1.0","event_id":"sha256:5643b77ed09faf95784484d3e600c0dd88e812fd0c6275a5fb709d7ae59dc74b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/bundle.json","state_url":"https://pith.science/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/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":"2026-08-03T19:43:46Z","links":{"resolver":"https://pith.science/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V","bundle":"https://pith.science/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/bundle.json","state":"https://pith.science/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K3FWMKIVZHNMGVMHIUKTOEHR7V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:K3FWMKIVZHNMGVMHIUKTOEHR7V","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":"9abd63f805bf414ab8e2b78889f54dbd62583eb29796aeecf54a33f171f00538","cross_cats_sorted":["cs.AI","cs.OS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T20:15:58Z","title_canon_sha256":"21e7c33add9316cae9b18033a13d4eb3c11d1fbc83df7d5fe070b74fdfe656eb"},"schema_version":"1.0","source":{"id":"2506.12204","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12204","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12204v1","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12204","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"K3FWMKIVZHNM","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"K3FWMKIVZHNMGVMH","created_at":"2026-07-05T11:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"K3FWMKIV","created_at":"2026-07-05T11:21:23Z"}],"graph_snapshots":[{"event_id":"sha256:5643b77ed09faf95784484d3e600c0dd88e812fd0c6275a5fb709d7ae59dc74b","target":"graph","created_at":"2026-07-05T11:21:23Z","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/2506.12204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional operating system scheduling algorithms are largely content-ignorant, making decisions based on factors such as latency or fairness without considering the actual intents or semantics of processes. Consequently, these algorithms often do not prioritize tasks that require urgent attention or carry higher importance, such as in emergency management scenarios. However, recent advances in language models enable semantic analysis of processes, allowing for more intelligent and context-aware scheduling decisions. In this paper, we introduce the concept of semantic scheduling in schedulin","authors_text":"Dujian Ding, Kai Mei, Minghua Ma, Wenyue Hua, William Yang Wang, Yile Gu, YuJie Ren","cross_cats":["cs.AI","cs.OS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T20:15:58Z","title":"Semantic Scheduling for LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12204","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":"sha256:3ec7c0a67ba93561ed867de278eab6d05558eeacb16a54be0080b4a07af2e3ea","target":"record","created_at":"2026-07-05T11:21:23Z","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":"9abd63f805bf414ab8e2b78889f54dbd62583eb29796aeecf54a33f171f00538","cross_cats_sorted":["cs.AI","cs.OS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T20:15:58Z","title_canon_sha256":"21e7c33add9316cae9b18033a13d4eb3c11d1fbc83df7d5fe070b74fdfe656eb"},"schema_version":"1.0","source":{"id":"2506.12204","kind":"arxiv","version":1}},"canonical_sha256":"56cb662915c9dac3558745153710f1fd5a761009b45e1a8bab7bd2c75e22e94e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56cb662915c9dac3558745153710f1fd5a761009b45e1a8bab7bd2c75e22e94e","first_computed_at":"2026-07-05T11:21:23.270807Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:23.270807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JznfuHXifaDxLEUusiK35TFFUXmtsKmTvoTNb8bigOH96Mo3bm4K2HBHIskFGecf9IhKlWfxNYa0h5MpzqH2DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:23.271265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12204","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ec7c0a67ba93561ed867de278eab6d05558eeacb16a54be0080b4a07af2e3ea","sha256:5643b77ed09faf95784484d3e600c0dd88e812fd0c6275a5fb709d7ae59dc74b"],"state_sha256":"cd330184381dd3ac6983731b1c0fcbc89628ff78d36bf54578301310857e54d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cChHntD9gLGTgZIKnWkZJYVGE5pBUZ6THe7IuviWUtnZVknmucWmvK29sKJhH6c9iYoXBOcckJwnzKKbf7fmCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:43:46.931960Z","bundle_sha256":"21d88bb7ea0f5e6603f5bb577bbea57c2c1b43a5d13a9aa79da7612bedb7b82e"}}