{"as_of":"2026-08-07T21:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c9a2a73873e5b290b3a5261ecc52acd27717a0f35d580a1c5ffa01bca7a3e12","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:33:42.501449Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T04:20:10.699246Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"cited_work":{"arxiv_id":"2506.03206","doi":"10.48550/arxiv.2506.03206","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03206","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Out-of- vocabulary sampling boosts speculative decoding","venue":"ArXiv.org","work_id":"1f52ba11-c874-4a6c-9074-e37120f26d81","year":2025},"citing_paper":{"arxiv_id":"2605.10453","last_updated":"2026-05-11T12:22:37Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:22:37Z","title":"SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T04:20:10.699246Z"},"links":{"cited_paper":"/paper/2506.03206","citing_paper":"/paper/2605.10453"},"observation_digest":"sha256:51cb595f190a99b18181b2a52ae784466a9d3959cccbcc362a669a4c06f07c17","observation_id":"b16d51d8-7c0a-4c41-ada8-f1a1730a9ec6","resolution":{"observed_at":"2026-05-12T04:21:19.669836Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.03206/citation-record","integrity":"/paper/2506.03206/integrity","json":"/paper/2506.03206/citation-record.json","paper":"/paper/2506.03206"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.10774","last_updated":"2024-06-14T23:32:32Z","snapshot_observed_at":"2026-07-06T17:17:56.276857Z","submitted_at":"2024-01-19T15:48:40Z","title":"Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10774","snapshot_observed_at":"2026-08-07T11:33:40.742405Z","title":"Medusa: Simple LLM inference acceleration framework with multiple decoding heads","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:40.742405Z"},"links":{"cited_paper":"/paper/2401.10774","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:7856bd3f9eafbe615b3c48329469d8e0acf9a8e56b35ee5af4bf0080adcb232b","observation_id":"ed2a533b-fa8a-469b-ab36-cd7567fd7742","resolution":{"observed_at":"2026-08-07T11:33:40.742405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01318","last_updated":"2023-02-02T18:44:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-02T18:44:11Z","title":"Accelerating Large Language Model Decoding with Speculative Sampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01318","snapshot_observed_at":"2026-08-07T11:33:40.812303Z","title":"Accelerating large language model decoding with speculative sampling","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:40.812303Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:313603285530010b38384eab868b5e9a7f4f63c6ab08c5b25ace367f647bad63","observation_id":"fc15526e-3a10-4d4d-b657-9e2efd1f8871","resolution":{"observed_at":"2026-08-07T11:33:40.812303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T11:33:40.960865Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:40.960865Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:7ef1a1a78f891693567202fcde07a9c5ac3fed939e0ce478a00b53409b2910e9","observation_id":"31d83682-d816-4f24-aa8a-940613f91ecf","resolution":{"observed_at":"2026-08-07T11:33:40.960865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:43.476872Z","title":"Fast inference from transformers via speculative decoding","venue":null,"work_id":"a8655939-0ab7-4e03-bab9-a2e724de43ee","year":2023},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.117108Z"},"links":{"citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:0fa17a3fc448007bd4c694a159e7ee89ae82dfec9d170f2e74fe3308d6a32009","observation_id":"6e30f1ce-9f5a-4df5-9b76-9600065f7b6b","resolution":{"observed_at":"2026-08-07T11:33:43.586514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15077","last_updated":"2025-03-04T13:58:39Z","snapshot_observed_at":"2026-08-03T09:40:31.365295Z","submitted_at":"2024-01-26T18:59:01Z","title":"EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15077","snapshot_observed_at":"2026-08-07T11:33:41.268608Z","title":"Eagle: Speculative sampling requires rethinking feature uncertainty","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.268608Z"},"links":{"cited_paper":"/paper/2401.15077","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:45932dc1f65550f54e836d74cb6bdb749a133cbeaed08a19e2c9e1beb681134e","observation_id":"c78d1187-d699-435b-9f6b-86b4cdf2b2bd","resolution":{"observed_at":"2026-08-07T11:33:41.268608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16858","last_updated":"2024-06-30T15:03:25Z","snapshot_observed_at":"2026-07-06T18:36:12.298104Z","submitted_at":"2024-06-24T17:59:11Z","title":"EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16858","snapshot_observed_at":"2026-08-07T11:33:41.423882Z","title":"Eagle-2: Faster inference of language models with dynamic draft trees","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.423882Z"},"links":{"cited_paper":"/paper/2406.16858","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:aaaff783213f55a023ab803c907ebaa913ccdb89bacacb45f10ca566cf9f7e47","observation_id":"bff5f3fa-58d8-4a86-9ae4-383183fc0712","resolution":{"observed_at":"2026-08-07T11:33:41.423882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.01840","last_updated":"2025-04-23T07:08:17Z","snapshot_observed_at":"2026-07-06T20:45:55.263034Z","submitted_at":"2025-03-03T18:59:04Z","title":"EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.01840","snapshot_observed_at":"2026-08-07T11:33:41.567789Z","title":"Eagle-3: Scaling up inference acceleration of large language models via training-time test","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.567789Z"},"links":{"cited_paper":"/paper/2503.01840","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:d04a4b526c45c43e9b052400f861ede36dc8cb5b630921f02d29abcc0e6bc9a5","observation_id":"9481148f-b2ab-4385-8907-327c324ef2dd","resolution":{"observed_at":"2026-08-07T11:33:41.567789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:41.709001Z","title":"Specinfer: Accelerating large language model serving with tree-based speculative inference and verification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.709001Z"},"links":{"citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:c87fc0bfbe333cde8a084bec778265914db3e1488a90886447c52a253743cc6d","observation_id":"8a32a669-87ae-4e6f-addb-eb74973607f9","resolution":{"observed_at":"2026-08-07T11:33:41.709001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:43.248891Z","title":"SlimPajama: A 627B token cleaned and deduplicated version of RedPajama","venue":null,"work_id":"6a8be31f-3ab4-4298-9229-cd9418d54f88","year":2023},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.829931Z"},"links":{"citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:44946ab6c5e3b97ce15619401409d3992db8fbc75d92957bf656ba315363dd91","observation_id":"ef774cbc-7be2-4482-bf3d-bebf1deac652","resolution":{"observed_at":"2026-08-07T11:33:43.347986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:43.036533Z","title":"Block verification accelerates speculative decoding","venue":null,"work_id":"4aca7e6f-1678-4b08-a98c-ad60814195c5","year":2025},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:41.935924Z"},"links":{"citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:31c23285ad86c64c7a27d5a2187fd403a5b5f2e5c39a8af9cca18b33dc39e0e7","observation_id":"5347d77c-0cef-4b77-b7ac-3f9d26b269a8","resolution":{"observed_at":"2026-08-07T11:33:43.146741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05202","last_updated":"2025-06-11T01:26:45Z","snapshot_observed_at":"2026-08-07T03:12:32.149469Z","submitted_at":"2025-01-31T19:13:58Z","title":"Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05202","snapshot_observed_at":"2026-08-07T11:33:42.077850Z","title":"Accelerating llm inference with lossless speculative decoding algorithms for heterogeneous vocabularies","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:42.077850Z"},"links":{"cited_paper":"/paper/2502.05202","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:d15fdd8bb337a7c138bde3e9d1cd45495f889faeb093f1fd1828b4a783ac156f","observation_id":"646f90f4-8a71-4fac-948b-0f536134efff","resolution":{"observed_at":"2026-08-07T11:33:42.077850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:42.760434Z","title":"Distributed speculative inference ( DSI ): Speculation parallelism for provably faster lossless language model inference","venue":null,"work_id":"132313c8-6df9-4d21-9b71-0371ce8778fc","year":2025},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:42.213165Z"},"links":{"citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:53d05acaa46194452e5d87f46ab3347c56406cb81c50862e393882920e2cc8ba","observation_id":"afd21d28-87c4-4459-864e-d5e768295a44","resolution":{"observed_at":"2026-08-07T11:33:42.915071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T11:33:42.368770Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:42.368770Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:42cc71513bccc80f80c120ae2c3fd33b83c77ba82b23a8d612b09f8379ffde3b","observation_id":"5f26514a-ff95-4d22-9e9e-a536a37fe60f","resolution":{"observed_at":"2026-08-07T11:33:42.368770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14856","last_updated":"2025-03-11T08:54:55Z","snapshot_observed_at":"2026-08-07T18:00:57.897767Z","submitted_at":"2025-02-20T18:58:10Z","title":"FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14856","snapshot_observed_at":"2026-08-07T11:33:42.501449Z","title":"Fr-spec: Accelerating large-vocabulary language models via frequency-ranked speculative sampling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:42.501449Z"},"links":{"cited_paper":"/paper/2502.14856","citing_paper":"/paper/2506.03206"},"observation_digest":"sha256:18410e13bb24947886a963f53d34287f1ae08f07af9af27596f9f37c8da4a417","observation_id":"b2222308-70e7-4e58-9eed-9346579f41fd","resolution":{"observed_at":"2026-08-07T11:33:42.501449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.03206","last_updated":"2025-06-02T21:08:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T11:25:08.033171Z","submitted_at":"2025-06-02T21:08:02Z","title":"Out-of-Vocabulary Sampling Boosts Speculative Decoding"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":14},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.03206."}