{"as_of":"2026-08-09T02:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29ab727cf7572ea95069824ad6ec499c170c40cbec16adab631a84be20948a80","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T06:43:38.629810Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.21804/citation-record","integrity":"/paper/2607.21804/integrity","json":"/paper/2607.21804/citation-record.json","paper":"/paper/2607.21804"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-01T06:43:30.211857Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:30.211857Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:f310035d8d3aa48ed2d532bd820d3e691e78dcffa974730236fe0382e4021e6f","observation_id":"36cc452a-de89-4f7e-bbc9-487ccf0b6c8d","resolution":{"observed_at":"2026-08-01T06:43:30.211857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-01T06:43:30.362906Z","title":"Llama 2: Open foundation and fine-tuned chat models.arXiv preprint arXiv:2307.09288, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:30.362906Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:d1f4f6e7209211ad280ab724adbea2f818aab299a6152e7547ab6997285a19cf","observation_id":"2e2771bf-0f99-4f3d-a97c-eb2c2d182798","resolution":{"observed_at":"2026-08-01T06:43:30.362906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-01T06:43:30.526812Z","title":"Qwen technical report.arXiv preprint arXiv:2309.16609, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:30.526812Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:1016d2737ce54bc5edf76370931d9f704e63ae20bbe1db0cd177ddfe9a77274d","observation_id":"434af7a5-67e7-4177-8249-aa30c138303a","resolution":{"observed_at":"2026-08-01T06:43:30.526812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11695","last_updated":"2024-05-06T17:47:01Z","snapshot_observed_at":"2026-07-06T15:44:42.776459Z","submitted_at":"2023-06-20T17:18:20Z","title":"A Simple and Effective Pruning Approach for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11695","snapshot_observed_at":"2026-08-01T06:43:30.783914Z","title":"A simple and effective pruning approach for large language models.arXiv preprint arXiv:2306.11695, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:30.783914Z"},"links":{"cited_paper":"/paper/2306.11695","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:9294622005de1bd1514eb62c6a4c9f9171831d24ce83f1823783f5c44acad5a3","observation_id":"6326d741-9ee9-4805-b3d1-b82fe338a715","resolution":{"observed_at":"2026-08-01T06:43:30.783914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03635","last_updated":"2019-03-04T15:51:11Z","snapshot_observed_at":"2026-08-05T23:54:27.386622Z","submitted_at":"2018-03-09T18:51:28Z","title":"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.03635","snapshot_observed_at":"2026-08-01T06:43:30.950850Z","title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks.arXiv preprint arXiv:1803.03635, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:30.950850Z"},"links":{"cited_paper":"/paper/1803.03635","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:c26bc87782c4d7d9dade7cbd4702c00da2f9689a9ab97f4104dea15dd6eace29","observation_id":"3b6d71b3-da42-4a24-b47e-3d07d06dad4d","resolution":{"observed_at":"2026-08-01T06:43:30.950850Z","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":"2026-08-01T06:43:31.116990Z","title":"Smoothquant: Accurate and efficient post-training quantization for large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:31.116990Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:494b6b90ed7af8a6b3b953c93b5b0c96f565dd61878c71bc3e0d81df517e20cc","observation_id":"aebb7d6a-9501-445c-bd96-3f2ee082ecbf","resolution":{"observed_at":"2026-08-01T06:43:31.116990Z","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":"2026-08-01T06:43:31.290972Z","title":"Q-bert: Hessian based ultra low precision quantization of bert","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:31.290972Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:8de04e13af3a654b171123d9c705ba3fbd25f19ff50844c4f7a08f2d0bd360e5","observation_id":"1efb1a35-165c-4471-b933-5d2416ecfb9d","resolution":{"observed_at":"2026-08-01T06:43:31.290972Z","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":"2026-08-01T06:43:31.517813Z","title":"Speculative decoding: Exploiting speculative execution for accelerating seq2seq generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:31.517813Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:a5880b40ad88bc12357323c63cc2ab9d187b8d3ab1c8314f9fd2d32a24e42302","observation_id":"42571301-9eed-410b-b020-70df8476847f","resolution":{"observed_at":"2026-08-01T06:43:31.517813Z","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":"2026-08-01T06:43:31.687500Z","title":"Fast inference from transformers via speculative decoding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:31.687500Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:f0708bb18ed25da61859449c63d5c47f6dab6debe25a8a9ac0d41c8619d69699","observation_id":"66aad189-0dc5-4b22-8b5a-0d5b7c968646","resolution":{"observed_at":"2026-08-01T06:43:31.687500Z","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":"2026-08-01T06:43:31.853850Z","title":"Specinfer: Accelerating generative large language model serving with tree-based speculative inference and verification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:31.853850Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:3ed9357168a5e5584413b4fb7f37f5c8648b868bdf25e5a6569ceedcd83be9a9","observation_id":"6bd85a32-09fa-42eb-b292-c2c0fa36bf5e","resolution":{"observed_at":"2026-08-01T06:43:31.853850Z","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":"2026-08-01T06:43:32.055991Z","title":"Lee, Deming Chen, and Tri Dao","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.055991Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:32bc0dc85d4be3d2f9d7b0faf85718460fe2a40617e49fbdf623f028edd993eb","observation_id":"59a69af9-e966-4265-9552-f04253ddd09a","resolution":{"observed_at":"2026-08-01T06:43:32.055991Z","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":"2026-08-01T06:43:32.200371Z","title":"Adaspec: Adap- tive speculative decoding for fast, SLO-aware large language model serving","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.200371Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:c3615144aeec17257d3b9f7b3590e3737237a270f703b111acd1ca13ff230020","observation_id":"85e8470a-94dd-4269-890f-dd631d2c6e53","resolution":{"observed_at":"2026-08-01T06:43:32.200371Z","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":"2026-08-01T06:43:32.358745Z","title":"Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.358745Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:a13d15d5092bf03d6efd74782748fff406b1cfa65525f5682c16621e6d6795ad","observation_id":"319cc9b7-9dbd-4128-9cb5-b0dfb73ac4b3","resolution":{"observed_at":"2026-08-01T06:43:32.358745Z","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":"2026-08-01T06:43:32.611994Z","title":"Overcoming joint intractability with lossless hierarchical speculative decoding","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.611994Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:39bca884beff56a724a78024a87f3bbf79493cc841f7c70878b60bfa01d48b10","observation_id":"7ee31093-68c5-43bf-aba9-3ead543b1258","resolution":{"observed_at":"2026-08-01T06:43:32.611994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10444","last_updated":"2025-04-10T18:06:39Z","snapshot_observed_at":"2026-07-06T17:45:23.748539Z","submitted_at":"2024-03-15T16:28:22Z","title":"Block Verification Accelerates Speculative Decoding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10444","snapshot_observed_at":"2026-08-01T06:43:32.749283Z","title":"Block verification accelerates speculative decoding.arXiv preprint arXiv:2403.10444, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.749283Z"},"links":{"cited_paper":"/paper/2403.10444","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:628d01780ff7ff7f14dfeb56cee95491d0339f84bb26f270d2e1a9258f10f72d","observation_id":"5018f9fa-88d0-4c05-ad5d-1e788eb0544d","resolution":{"observed_at":"2026-08-01T06:43:32.749283Z","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":"2026-08-01T06:43:32.953608Z","title":"Optimized multi-token joint decoding with auxiliary model for llm inference","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:32.953608Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:34c9135cde25ef9dd5993993a81f65697ba47df2ff7c7303c664099089fbed27","observation_id":"03ec5bc3-724e-4581-9992-ce475360babb","resolution":{"observed_at":"2026-08-01T06:43:32.953608Z","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":"2026-08-01T06:43:33.101838Z","title":"Eagle: speculative sampling requires rethinking feature uncertainty","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.101838Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:6cec032ac86aa7a10356975ff4bda3ce3db1a78c65df68ace2b88ef64d55e759","observation_id":"be9f0022-779b-42c1-86e7-bc9e43858442","resolution":{"observed_at":"2026-08-01T06:43:33.101838Z","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":"2026-08-01T06:43:33.273619Z","title":"Eagle-2: Faster inference of language models with dynamic draft trees","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.273619Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:d5d099ecc6eb18149fb62147e416cbcd2aa323dd52c0b266e48eec37cc4aa557","observation_id":"68aa7663-5557-4ac3-8213-da5832f8b13d","resolution":{"observed_at":"2026-08-01T06:43:33.273619Z","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":"2026-08-01T06:43:33.424436Z","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":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.424436Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:24ae8fbe90968104fdafae5b96ca21c9a704666271e82f78d504680e0b56582f","observation_id":"9807f0df-2268-4dda-abc0-b15169d5b8c3","resolution":{"observed_at":"2026-08-01T06:43:33.424436Z","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":"2026-08-01T06:43:33.519184Z","title":"Litevlm: A low-latency vision-language model inference pipeline for resource-constrained environments.arXiv preprint arXiv:2506.07416, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.519184Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:c78abc77742f9417d36d78a464bece3f8592298056f3fff29141d2e156a493a4","observation_id":"128692cd-87b5-42b1-8a3a-318255054b62","resolution":{"observed_at":"2026-08-01T06:43:33.519184Z","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":"2026-08-01T06:43:33.572843Z","title":"Accelerating decode-heavy LLM inference with speculative decoding on AWS trainium and vLLM | artificial intelligence, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.572843Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:fc35665b5b415977b81565479257e76e8d70230db14ebdb8565488171f76f40c","observation_id":"617c93f7-0a1a-4646-8270-3f80f861e267","resolution":{"observed_at":"2026-08-01T06:43:33.572843Z","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":"2026-08-01T06:43:33.728849Z","title":"Speculative speculative decoding","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.728849Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:98d83f08a2a5963ed92da6e96810eed9208244f1d7856d27d8ca13726c67e776","observation_id":"2b845c7a-f319-498f-8fe9-0208037326f7","resolution":{"observed_at":"2026-08-01T06:43:33.728849Z","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":"2026-08-01T06:43:33.867061Z","title":"Accelerating large language model decoding with speculative sampling.arXiv preprint arXiv:2302.01318, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.867061Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:3be9ef81a9a0639d50893dd4e5b3e32b70df867b37a1078220d497f8a58f3c78","observation_id":"07cc4dbf-ae00-4362-ad47-ab7bb782af4b","resolution":{"observed_at":"2026-08-01T06:43:33.867061Z","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":"2026-08-01T06:43:33.999149Z","title":"Snakes and ladders: Accelerating ssm inference with speculative decoding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:33.999149Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:6838ec4bb01469ec6df748f4243e8a7f87f33ea2dc4f36be3d0761492ebff9ff","observation_id":"08ff9b0d-39ea-4092-935e-a913e35fa248","resolution":{"observed_at":"2026-08-01T06:43:33.999149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18647","last_updated":"2024-04-01T09:48:46Z","snapshot_observed_at":"2026-07-06T17:52:00.714976Z","submitted_at":"2024-03-27T14:54:27Z","title":"SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18647","snapshot_observed_at":"2026-08-01T06:43:34.152595Z","title":"Sdsat: Accelerating llm inference through speculative decoding with semantic adaptive tokens.arXiv preprint arXiv:2403.18647, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.152595Z"},"links":{"cited_paper":"/paper/2403.18647","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:0ffb2ea25d7855a2a454ac627af0b5e1d4efeba1c4bfcc7af2d853e3df419e4d","observation_id":"9e8962f1-d70b-425f-84d7-74dc816c5883","resolution":{"observed_at":"2026-08-01T06:43:34.152595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07177","last_updated":"2024-06-10T01:36:31Z","snapshot_observed_at":"2026-07-06T16:30:55.043821Z","submitted_at":"2023-10-11T04:03:42Z","title":"Online Speculative Decoding","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07177","snapshot_observed_at":"2026-08-01T06:43:34.296087Z","title":"Online speculative decoding.arXiv preprint arXiv:2310.07177, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.296087Z"},"links":{"cited_paper":"/paper/2310.07177","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:23b82cfd9a9223fa1e6c2df07de60c2f21710cd81f8f175896e0cfd36ef9e810","observation_id":"dfb9eacd-c7cd-45fb-8e4c-efb1814d344a","resolution":{"observed_at":"2026-08-01T06:43:34.296087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00858","last_updated":"2024-05-13T18:34:30Z","snapshot_observed_at":"2026-07-06T17:38:17.853302Z","submitted_at":"2024-02-29T19:55:06Z","title":"Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00858","snapshot_observed_at":"2026-08-01T06:43:34.444889Z","title":"Direct alignment of draft model for speculative decoding with chat-fine-tuned LLMs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.444889Z"},"links":{"cited_paper":"/paper/2403.00858","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:164f2aaf699194a8f18635d2ddb5dd0d6f88b86f332534234657170b11d88e47","observation_id":"e188b815-cd0c-40e2-9bb2-ac489dd188d6","resolution":{"observed_at":"2026-08-01T06:43:34.444889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18351","last_updated":"2024-10-24T01:13:43Z","snapshot_observed_at":"2026-07-06T19:38:48.401401Z","submitted_at":"2024-10-24T01:13:43Z","title":"AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18351","snapshot_observed_at":"2026-08-01T06:43:34.549130Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.549130Z"},"links":{"cited_paper":"/paper/2410.18351","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:ccd8cc35c276e9950b3cba74603c2cdd7241db205ce6c45a71e3a6c8812e7ce1","observation_id":"9a0e2a23-cb98-4eaf-9238-1e9cef3171b5","resolution":{"observed_at":"2026-08-01T06:43:34.549130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19309","last_updated":"2025-01-31T17:09:53Z","snapshot_observed_at":"2026-08-08T01:16:56.960700Z","submitted_at":"2025-01-31T17:09:53Z","title":"Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19309","snapshot_observed_at":"2026-08-01T06:43:34.620346Z","title":"Judge decoding: Faster speculative sampling requires going beyond model alignment.arXiv preprint arXiv:2501.19309, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.620346Z"},"links":{"cited_paper":"/paper/2501.19309","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:ee3ad785ccdedfdbad3da20de51bf42a4bba88cbb80917109abdf3f27015c739","observation_id":"1cf89e8e-1fce-429d-825a-2b827c7bd4e8","resolution":{"observed_at":"2026-08-01T06:43:34.620346Z","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":"2026-08-01T06:43:34.724988Z","title":"Alignment-augmented speculative decoding with alignment sampling and conditional verification","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.724988Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:8a7957a87d4ede6c7430617bbc409f26fdfd9094afc3bff48a591d0dc88c0194","observation_id":"da45cb12-dc80-48ef-b988-b9305bd51b25","resolution":{"observed_at":"2026-08-01T06:43:34.724988Z","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":"2026-08-01T06:43:34.934990Z","title":"Decoding speculative decoding","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:34.934990Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:dc6d1c2f82425ae4757ff53171477cf03d53225022b6915cf440f282003f1bbd","observation_id":"d662796e-96ad-460d-ba29-52b562f477fd","resolution":{"observed_at":"2026-08-01T06:43:34.934990Z","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":"2026-08-01T06:43:35.101906Z","title":"When speculation spills secrets: Side channels via speculative decoding in LLMs.arXiv preprint arXiv:2411.01076, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.101906Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:ac4ba8d48d8b0b0a93c6254dd93f8be59aa5f4862072014240bb7ee4b0d70b06","observation_id":"9b10f90e-a9d3-48c4-8726-cad81e0150dc","resolution":{"observed_at":"2026-08-01T06:43:35.101906Z","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":"2026-08-01T06:43:35.226454Z","title":"Speculative safety-aware decoding","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.226454Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:b556422ef3e94266d781a7f161f268664a3705dfda21eecc50724a15306626ef","observation_id":"f64570c1-5536-4dd3-a183-3249d52b3042","resolution":{"observed_at":"2026-08-01T06:43:35.226454Z","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":"2026-08-01T06:43:35.318331Z","title":"Sponge examples: Energy-latency attacks on neural networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.318331Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:252572876c573eb04eb5dd34712d6e755670bb9dd0c190bd2da4e8c922d95367","observation_id":"2e88d3c8-3a31-4485-a60f-d643f897ca28","resolution":{"observed_at":"2026-08-01T06:43:35.318331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02916","last_updated":"2025-04-09T15:20:33Z","snapshot_observed_at":"2026-08-06T17:39:01.331837Z","submitted_at":"2024-10-03T19:07:53Z","title":"LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02916","snapshot_observed_at":"2026-08-01T06:43:35.459929Z","title":"Morley Mao","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.459929Z"},"links":{"cited_paper":"/paper/2410.02916","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:7286ef65b055d7f70b398204a252b9fcbf04ff12654ba303b8b5d519154305cc","observation_id":"8c91eae2-fdca-455c-ba8d-79691f935cb9","resolution":{"observed_at":"2026-08-01T06:43:35.459929Z","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":"2026-08-01T06:43:35.638466Z","title":"An engorgio prompt makes large language model babble on","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.638466Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:e8f3f57a320999ca2a57e0820cd72a83bfb6dd087593f93cdb524de678143b32","observation_id":"46d7f7b7-2b13-4e4e-a703-cfae0a29ed61","resolution":{"observed_at":"2026-08-01T06:43:35.638466Z","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":"2026-08-01T06:43:35.765826Z","title":"Rethinking latency denial-of-service: Attacking the LLM serving framework, not the model.arXiv preprint arXiv:2602.07878, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.765826Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:8692e11c3553b6496b49d383b524c299614010893c3c2fa3d97c745f1fdacdf4","observation_id":"313be6c6-f4b9-440f-8fb3-54e0cdeee70e","resolution":{"observed_at":"2026-08-01T06:43:35.765826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13170","last_updated":"2024-10-18T04:13:05Z","snapshot_observed_at":"2026-07-06T18:33:24.206083Z","submitted_at":"2024-06-19T02:53:39Z","title":"Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13170","snapshot_observed_at":"2026-08-01T06:43:35.900404Z","title":"Amphista: Bi-directional multi-head decoding for acceler- ating llm inference.arXiv preprint arXiv:2406.13170, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:35.900404Z"},"links":{"cited_paper":"/paper/2406.13170","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:b02f64e80cb059ed02676a1bb1d75a21cc1e8cf357ff5f8e3e9afb800c0fb15b","observation_id":"bba15d69-9548-43c4-9040-0a68fd086097","resolution":{"observed_at":"2026-08-01T06:43:35.900404Z","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":"2026-08-01T06:43:36.034195Z","title":"Speculative decoding: Performance or illusion?arXiv preprint arXiv:2601.11580, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.034195Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:03a9640294f0f9ba2dc72f8b5f6429ff8e0fc0d6b70f57b099cbd22634722d3e","observation_id":"727fd2bb-7d5a-4e2f-93e6-f165e9326e1e","resolution":{"observed_at":"2026-08-01T06:43:36.034195Z","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":"2026-08-01T06:43:36.154005Z","title":"An empirical study of speculative decoding for small language models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.154005Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:f2142e6d79776550a7a7476d60a60f30b582544fc5fbe16b043536bebf02ea62","observation_id":"a3860f65-e856-4ea1-bde1-91d7c5bbe848","resolution":{"observed_at":"2026-08-01T06:43:36.154005Z","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":"2026-08-01T06:43:36.226837Z","title":"Efficient memory management for large language model serving with PagedAttention","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.226837Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:f2f8b33d1b0d4918eaff85d4bcaffc9326062fe008fcd056002e6c8a0d15302b","observation_id":"d989a324-c5a8-4197-bca5-19dfaaa028bb","resolution":{"observed_at":"2026-08-01T06:43:36.226837Z","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":"2026-08-01T06:43:36.361065Z","title":"Text generation inference (TGI)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.361065Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:62b89445cbb20934903460e3ff4a17e72c0a13a240a543b06dc0061afa1c0ca9","observation_id":"80287d12-fdfa-488e-88d7-dfc44950d6cf","resolution":{"observed_at":"2026-08-01T06:43:36.361065Z","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":"2026-08-01T06:43:36.505120Z","title":"Continuous batching from first principles.https://huggingface.co/blog/continuous_batching, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.505120Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:d62b2b5745ace4903b163df305ce7d8f2493742daa9bf84f9694524ef8896a4e","observation_id":"a98711de-7c55-4f48-a6c5-984f10c9c2a2","resolution":{"observed_at":"2026-08-01T06:43:36.505120Z","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":"2026-08-01T06:43:36.644623Z","title":"Openai api pricing.https://openai.com/api/pricing/, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.644623Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:5a3ae2c48540d3644ce1b9368cd46c3ef08da158790662ea8a1f930f4754a4a8","observation_id":"91608996-c3a5-411b-a781-254d10ea9c7b","resolution":{"observed_at":"2026-08-01T06:43:36.644623Z","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":"2026-08-01T06:43:36.761972Z","title":"Rate limits","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.761972Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:6a043e393a3f2571a7dffec58e391ae56011ac56b48c15e566fda34100303c72","observation_id":"7558b853-f37f-4a13-b87b-2611ddd99c2f","resolution":{"observed_at":"2026-08-01T06:43:36.761972Z","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":"2026-08-01T06:43:36.896910Z","title":"Performance and latency","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:36.896910Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:b8e133cc3e3fdfa2fc954d6e300369690fa9a75175ee50e3b1cc092373649f41","observation_id":"f3a9e20a-55ab-4fbe-8a64-98006e6512d5","resolution":{"observed_at":"2026-08-01T06:43:36.896910Z","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":"2026-08-01T06:43:37.033865Z","title":"Use provisioned throughput","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.033865Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:3a83258a00e0ee96d1b7c53a3b478cbbb84031e5238656e5cf3d588ad021d231","observation_id":"13c94e2c-5011-43ba-8fce-deaacbaf7391","resolution":{"observed_at":"2026-08-01T06:43:37.033865Z","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":"2026-08-01T06:43:37.236466Z","title":"Training verifiers to solve math word problems, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.236466Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:56f13773e1455d487e5ac1f46ac958795507ca6d99fbfad4716512a39faece1e","observation_id":"ceaf2eae-8ce3-45a0-aa1d-d7ae0549b7e7","resolution":{"observed_at":"2026-08-01T06:43:37.236466Z","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":"2026-08-01T06:43:37.316899Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.316899Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:f6571061efaaa857d48c041618b9181744d8074a84ef6431338199c3de75b0bf","observation_id":"8f97cb47-8ae9-43ea-8f3f-8de0458f6748","resolution":{"observed_at":"2026-08-01T06:43:37.316899Z","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":"2026-08-01T06:43:37.526744Z","title":"Liu, and Christopher D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.526744Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:2180a4f6f37aa50185ea809da0d615d20796ecd180cccfcbe0bfa6d603bee145","observation_id":"d36121a6-9a77-4751-b9ba-46173ff13414","resolution":{"observed_at":"2026-08-01T06:43:37.526744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15043","last_updated":"2023-12-20T20:48:57Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:49:12Z","title":"Universal and Transferable Adversarial Attacks on Aligned Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15043","snapshot_observed_at":"2026-08-01T06:43:37.685720Z","title":"Zico Kolter, and Matt Fredrikson","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.685720Z"},"links":{"cited_paper":"/paper/2307.15043","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:0852ddc18a8145e321925b3e97e6afc58a1c0fd11e097b22ffe7fab04b9a77a4","observation_id":"bc42a5de-a1f8-4c09-ad63-51a88dac7e07","resolution":{"observed_at":"2026-08-01T06:43:37.685720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14132","last_updated":"2023-11-07T03:30:15Z","snapshot_observed_at":"2026-07-06T16:10:54.723336Z","submitted_at":"2023-08-27T15:20:06Z","title":"Detecting Language Model Attacks with Perplexity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14132","snapshot_observed_at":"2026-08-01T06:43:37.895141Z","title":"Detecting language model attacks with perplexity.arXiv preprint arXiv:2308.14132, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:37.895141Z"},"links":{"cited_paper":"/paper/2308.14132","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:1169b0cdc589b81be65338d7bfdf0b08d9468ccee8e67b6e885011eb7057278d","observation_id":"dbb54776-e048-416e-a0b6-f48d5b6a01ea","resolution":{"observed_at":"2026-08-01T06:43:37.895141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.00614","last_updated":"2023-09-04T17:47:36Z","snapshot_observed_at":"2026-07-06T16:13:23.343694Z","submitted_at":"2023-09-01T17:59:44Z","title":"Baseline Defenses for Adversarial Attacks Against Aligned Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.00614","snapshot_observed_at":"2026-08-01T06:43:38.107533Z","title":"Baseline de- fenses for adversarial attacks against aligned language models.arXiv preprint arXiv:2309.00614, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:38.107533Z"},"links":{"cited_paper":"/paper/2309.00614","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:3120dc2d8c5407bdf190abd6f98c0f262403a2d2b094c2768ca92be20dd83b62","observation_id":"3337a22f-2507-40e5-94ae-1c5790780f32","resolution":{"observed_at":"2026-08-01T06:43:38.107533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07308","last_updated":"2024-05-02T14:28:39Z","snapshot_observed_at":"2026-08-01T14:42:09.926151Z","submitted_at":"2023-08-14T17:54:10Z","title":"LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.07308","snapshot_observed_at":"2026-08-01T06:43:38.283156Z","title":"LLM self defense: By self examination, LLMs know they are being tricked.arXiv preprint arXiv:2308.07308, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:38.283156Z"},"links":{"cited_paper":"/paper/2308.07308","citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:7775929b6b41c4eaa35ddf14a9f4517137181b3d1e5179b73a66d6857d5f860f","observation_id":"f0c396ab-fd2e-4dee-b66c-3512be1894f2","resolution":{"observed_at":"2026-08-01T06:43:38.283156Z","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":"2026-08-01T06:43:38.449198Z","title":"The art of defending: A systematic evaluation and analysis of LLM defense strategies on safety and over-defensiveness","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:38.449198Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:a5498ee8ea83d79425cce07cff9c604bbfc864981b21f76d51395954794501e4","observation_id":"09d2e296-6221-4395-85e2-89740a9e6204","resolution":{"observed_at":"2026-08-01T06:43:38.449198Z","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":"2026-08-01T06:43:38.629810Z","title":"@drawable/box","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T06:43:38.629810Z"},"links":{"citing_paper":"/paper/2607.21804"},"observation_digest":"sha256:a143e7e3cf9804afca913e5517a848db3b7c258c7b7aeea5ec14ae5075c39de6","observation_id":"28c3ba7d-adf4-48f9-992c-80267ff1645b","resolution":{"observed_at":"2026-08-01T06:43:38.629810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21804","last_updated":"2026-07-23T20:42:41Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-08T12:07:50.905004Z","submitted_at":"2026-07-23T20:42:41Z","title":"Adversarial Prompts for Acceptance Collapse in Speculative Decoding"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":56,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":56},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.21804."}