{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RL26NM6T3NJWNYLLIXIIQEZLQU","short_pith_number":"pith:RL26NM6T","canonical_record":{"source":{"id":"2507.10860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-14T23:20:55Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"ed1526215c7d9b20b82b6186cfa41270fcbcfe5225a1eefbfbaec415cc99b662","abstract_canon_sha256":"a61549e24ae3380d60fdd26baffc86d13a919e92f8e4a018c9d34a16a6f68a06"},"schema_version":"1.0"},"canonical_sha256":"8af5e6b3d3db5366e16b45d088132b850e09f4bed7633951c29375760a78f325","source":{"kind":"arxiv","id":"2507.10860","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10860","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10860v1","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10860","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_12","alias_value":"RL26NM6T3NJW","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_16","alias_value":"RL26NM6T3NJWNYLL","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_8","alias_value":"RL26NM6T","created_at":"2026-07-05T11:37:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RL26NM6T3NJWNYLLIXIIQEZLQU","target":"record","payload":{"canonical_record":{"source":{"id":"2507.10860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-14T23:20:55Z","cross_cats_sorted":["cs.CL","eess.AS"],"title_canon_sha256":"ed1526215c7d9b20b82b6186cfa41270fcbcfe5225a1eefbfbaec415cc99b662","abstract_canon_sha256":"a61549e24ae3380d60fdd26baffc86d13a919e92f8e4a018c9d34a16a6f68a06"},"schema_version":"1.0"},"canonical_sha256":"8af5e6b3d3db5366e16b45d088132b850e09f4bed7633951c29375760a78f325","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:37:27.139394Z","signature_b64":"PxyIo7vKGL9yVk3pGJs9aRmLTsE8x64FHe6UvdxTUVBTEOED3+QP/6Zp2SKBXC4TPp6hWGMHumVTE0Sv5s+zBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8af5e6b3d3db5366e16b45d088132b850e09f4bed7633951c29375760a78f325","last_reissued_at":"2026-07-05T11:37:27.138875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:37:27.138875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.10860","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":"2026-07-05T11:37:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"72D8aAaKHdAWsBi3QWqzwV2yn36xolKiUnJGD3RZpOD/G9lP/+eQOWSO1/vHkaZ19Je7ncAvp3+8MBAJETcXAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:40:45.252897Z"},"content_sha256":"4a70d19274060282410314f81dbacb2c2753c9f05036be269895679e763bad18","schema_version":"1.0","event_id":"sha256:4a70d19274060282410314f81dbacb2c2753c9f05036be269895679e763bad18"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RL26NM6T3NJWNYLLIXIIQEZLQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WhisperKit: On-device Real-time ASR with Billion-Scale Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","eess.AS"],"primary_cat":"cs.SD","authors_text":"Arda Okan, Atila Orhon, Berkin Durmus, Eduardo Pacheco, Zach Nagengast","submitted_at":"2025-07-14T23:20:55Z","abstract_excerpt":"Real-time Automatic Speech Recognition (ASR) is a fundamental building block for many commercial applications of ML, including live captioning, dictation, meeting transcriptions, and medical scribes. Accuracy and latency are the most important factors when companies select a system to deploy. We present WhisperKit, an optimized on-device inference system for real-time ASR that significantly outperforms leading cloud-based systems. We benchmark against server-side systems that deploy a diverse set of models, including a frontier model (OpenAI gpt-4o-transcribe), a proprietary model (Deepgram no"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10860","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/2507.10860/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":"2026-07-05T11:37:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JT8qqRUNne3QAqXy2hbmU9wkPfnQR8Ab2NdYgu6ImYA7MoUv/1vvHuiYnEl67zeOCzY4aNMuIoZkWVSnQMeRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:40:45.253553Z"},"content_sha256":"56df1970b1bdf5248b737a6c7d19cc77286114eda00699b309d08d24cd9779b1","schema_version":"1.0","event_id":"sha256:56df1970b1bdf5248b737a6c7d19cc77286114eda00699b309d08d24cd9779b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/bundle.json","state_url":"https://pith.science/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/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":"2026-08-07T10:40:45Z","links":{"resolver":"https://pith.science/pith/RL26NM6T3NJWNYLLIXIIQEZLQU","bundle":"https://pith.science/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/bundle.json","state":"https://pith.science/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RL26NM6T3NJWNYLLIXIIQEZLQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RL26NM6T3NJWNYLLIXIIQEZLQU","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":"a61549e24ae3380d60fdd26baffc86d13a919e92f8e4a018c9d34a16a6f68a06","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-14T23:20:55Z","title_canon_sha256":"ed1526215c7d9b20b82b6186cfa41270fcbcfe5225a1eefbfbaec415cc99b662"},"schema_version":"1.0","source":{"id":"2507.10860","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10860","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10860v1","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10860","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_12","alias_value":"RL26NM6T3NJW","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_16","alias_value":"RL26NM6T3NJWNYLL","created_at":"2026-07-05T11:37:27Z"},{"alias_kind":"pith_short_8","alias_value":"RL26NM6T","created_at":"2026-07-05T11:37:27Z"}],"graph_snapshots":[{"event_id":"sha256:56df1970b1bdf5248b737a6c7d19cc77286114eda00699b309d08d24cd9779b1","target":"graph","created_at":"2026-07-05T11:37:27Z","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/2507.10860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-time Automatic Speech Recognition (ASR) is a fundamental building block for many commercial applications of ML, including live captioning, dictation, meeting transcriptions, and medical scribes. Accuracy and latency are the most important factors when companies select a system to deploy. We present WhisperKit, an optimized on-device inference system for real-time ASR that significantly outperforms leading cloud-based systems. We benchmark against server-side systems that deploy a diverse set of models, including a frontier model (OpenAI gpt-4o-transcribe), a proprietary model (Deepgram no","authors_text":"Arda Okan, Atila Orhon, Berkin Durmus, Eduardo Pacheco, Zach Nagengast","cross_cats":["cs.CL","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-14T23:20:55Z","title":"WhisperKit: On-device Real-time ASR with Billion-Scale Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10860","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":"sha256:4a70d19274060282410314f81dbacb2c2753c9f05036be269895679e763bad18","target":"record","created_at":"2026-07-05T11:37:27Z","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":"a61549e24ae3380d60fdd26baffc86d13a919e92f8e4a018c9d34a16a6f68a06","cross_cats_sorted":["cs.CL","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-07-14T23:20:55Z","title_canon_sha256":"ed1526215c7d9b20b82b6186cfa41270fcbcfe5225a1eefbfbaec415cc99b662"},"schema_version":"1.0","source":{"id":"2507.10860","kind":"arxiv","version":1}},"canonical_sha256":"8af5e6b3d3db5366e16b45d088132b850e09f4bed7633951c29375760a78f325","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8af5e6b3d3db5366e16b45d088132b850e09f4bed7633951c29375760a78f325","first_computed_at":"2026-07-05T11:37:27.138875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:27.138875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PxyIo7vKGL9yVk3pGJs9aRmLTsE8x64FHe6UvdxTUVBTEOED3+QP/6Zp2SKBXC4TPp6hWGMHumVTE0Sv5s+zBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:27.139394Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10860","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a70d19274060282410314f81dbacb2c2753c9f05036be269895679e763bad18","sha256:56df1970b1bdf5248b737a6c7d19cc77286114eda00699b309d08d24cd9779b1"],"state_sha256":"28000ef18d8a5e3f7cf5245c0cc7b806058f3c3b589c74a010f9a41ae2696bd3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ms63Eu74YhFW7JJ7xCNiVlHKH4s5nglbUQmY0OjAPEi8wlYY+RjLykoJH4xagRt0gX7W1+168pkdQbc8YQwWDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:40:45.257721Z","bundle_sha256":"a0d7c3e6e4e47cc286a38d39e036d13ff2b57c038d9fdda057a092168cc0ed5a"}}