{"as_of":"2026-08-11T06:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd20a04934893e7c66f1566bfcca9cab39b37cf639c0c06b558e8846ba0ce3e6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T04:28:03.953718Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T10:39:45.459649Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10517","snapshot_observed_at":"2026-08-09T04:28:03.953718Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.10424","last_updated":"2025-02-05T20:43:48Z","snapshot_observed_at":"2026-08-09T15:11:12.836727Z","submitted_at":"2025-02-05T20:43:48Z","title":"QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T04:28:03.953718Z"},"links":{"cited_paper":"/paper/2402.10517","citing_paper":"/paper/2502.10424"},"observation_digest":"sha256:47393e32ccf0395d8946c318e1d2343eac6efa32eda22811cfbd03baede3cb96","observation_id":"7345ea2b-2c4f-431d-9eca-c27c29b848ff","resolution":{"observed_at":"2026-08-09T04:28:03.953718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs","version":4},"cited_work":{"arxiv_id":"2402.10517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10517","snapshot_observed_at":"2026-07-04T10:39:45.459649Z","title":"Any-precision llm: Low-cost deployment of multiple, different-sized llms","venue":null,"work_id":"bbae9429-2d4c-4dab-91e8-3125fe61736c","year":2024},"citing_paper":{"arxiv_id":"2604.06836","last_updated":"2026-04-09T02:16:08Z","snapshot_observed_at":"2026-07-06T22:55:15.791334Z","submitted_at":"2026-04-08T08:57:09Z","title":"STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T18:49:40.758234Z"},"links":{"cited_paper":"/paper/2402.10517","citing_paper":"/paper/2604.06836"},"observation_digest":"sha256:5d4c7d4f75dc19fe6d876b5580de06d8083ad136c0a61ff8850e84d764e37294","observation_id":"ba2c79a2-c796-41fe-afa2-fa62c34b4a6d","resolution":{"observed_at":"2026-05-10T23:50:57.115470Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs","version":4},"cited_work":{"arxiv_id":"2402.10517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10517","snapshot_observed_at":"2026-07-04T10:39:45.459649Z","title":"Any-precision llm: Low-cost deployment of multiple, different-sized llms","venue":null,"work_id":"bbae9429-2d4c-4dab-91e8-3125fe61736c","year":2024},"citing_paper":{"arxiv_id":"2605.26558","last_updated":"2026-05-26T05:12:44Z","snapshot_observed_at":"2026-08-02T18:18:56.704933Z","submitted_at":"2026-05-26T05:12:44Z","title":"Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-01T16:19:54.910430Z"},"links":{"cited_paper":"/paper/2402.10517","citing_paper":"/paper/2605.26558"},"observation_digest":"sha256:7dbf801f5fc253e591bc374cefe868edf4e36256df7c95b1a63da6271aa0c314","observation_id":"ffab6eb3-23dc-48f6-b632-3472794d890f","resolution":{"observed_at":"2026-07-01T16:25:49.780101Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs","version":4},"cited_work":{"arxiv_id":"2402.10517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10517","snapshot_observed_at":"2026-07-04T10:39:45.459649Z","title":"Any-precision llm: Low-cost deployment of multiple, different-sized llms","venue":null,"work_id":"bbae9429-2d4c-4dab-91e8-3125fe61736c","year":2024},"citing_paper":{"arxiv_id":"2606.12876","last_updated":"2026-06-11T04:06:02Z","snapshot_observed_at":"2026-08-02T07:08:48.372955Z","submitted_at":"2026-06-11T04:06:02Z","title":"Multi-Bitwidth Quantization for LLMs Using Additive Codebooks","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-06-27T07:29:14.923431Z"},"links":{"cited_paper":"/paper/2402.10517","citing_paper":"/paper/2606.12876"},"observation_digest":"sha256:18dc414c013609570c678e24e94ffe3d434aef772c65b85ac9dbb5559234850f","observation_id":"3117c4c3-a5b4-46bc-9070-0b082fe11c18","resolution":{"observed_at":"2026-07-03T13:48:21.318495Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs","version":4},"cited_work":{"arxiv_id":"2402.10517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10517","snapshot_observed_at":"2026-07-04T10:39:45.459649Z","title":"Any-precision llm: Low-cost deployment of multiple, different-sized llms","venue":null,"work_id":"bbae9429-2d4c-4dab-91e8-3125fe61736c","year":2024},"citing_paper":{"arxiv_id":"2606.23419","last_updated":"2026-06-22T14:42:34Z","snapshot_observed_at":"2026-07-06T23:58:11.694332Z","submitted_at":"2026-06-22T14:42:34Z","title":"GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T08:38:32.577228Z"},"links":{"cited_paper":"/paper/2402.10517","citing_paper":"/paper/2606.23419"},"observation_digest":"sha256:6f4424bc1e77731c39c84dd5250660a9b826ec81a268682747cc2bd3e8b81a95","observation_id":"4817ff53-c455-4931-810f-13caed9c71bf","resolution":{"observed_at":"2026-07-04T10:39:45.461228Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.10517/citation-record","integrity":"/paper/2402.10517/integrity","json":"/paper/2402.10517/citation-record.json","paper":"/paper/2402.10517"},"outbound":[],"paper":{"arxiv_id":"2402.10517","last_updated":"2024-06-21T05:20:56Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T19:04:10.329317Z","submitted_at":"2024-02-16T09:06:06Z","title":"Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10517."}