{"as_of":"2026-08-08T01:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0e15abe55e10c2c81f2b0ee2a657bcac7ad1e854ad48a51f732f6aed70f9b64e","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:47:58.835279Z","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":"2026-07-03T20:58:57.831808Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":"2404.09526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-07-03T20:58:57.831808Z","title":"Loongserve: Efficiently serving long-context large language models with elas- tic sequence parallelism","venue":null,"work_id":"adea9a6b-a8f1-4d48-b2b3-c5f73ee3f3c1","year":2024},"citing_paper":{"arxiv_id":"2404.14294","last_updated":"2024-07-19T04:47:36Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T15:53:08Z","title":"A Survey on Efficient Inference for Large Language Models","version":3},"reference_index":289,"source":"pdf_text","source_observed_at":"2026-05-15T02:39:33.007894Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2404.14294"},"observation_digest":"sha256:1716d727e2c77aaf7d015980701121e5bd1fa287e2926fd1cf85a523ed27a924","observation_id":"a683edef-25d9-4b83-8210-3fdc33d42ae9","resolution":{"observed_at":"2026-05-15T02:39:33.537114Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":"2404.09526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-07-03T20:58:57.831808Z","title":"Loongserve: Efficiently serving long-context large language models with elas- tic sequence parallelism","venue":null,"work_id":"adea9a6b-a8f1-4d48-b2b3-c5f73ee3f3c1","year":2024},"citing_paper":{"arxiv_id":"2505.09999","last_updated":"2026-05-11T03:41:00Z","snapshot_observed_at":"2026-07-30T05:05:51.180006Z","submitted_at":"2025-05-15T06:24:08Z","title":"ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-22T15:42:05.266854Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2505.09999"},"observation_digest":"sha256:298d7b243544c28ea644b73a2011ad12e383d9134105de6d4ef86a13ff19af85","observation_id":"27046d2a-4f07-405a-b45b-d0fc17e55721","resolution":{"observed_at":"2026-05-22T15:44:58.094171Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-08-07T14:47:58.835279Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17694","last_updated":"2026-03-28T10:14:51Z","snapshot_observed_at":"2026-08-07T14:40:02.904487Z","submitted_at":"2025-05-23T10:03:28Z","title":"CoDec: Prefix-Shared Decoding Kernel for LLMs","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:47:58.835279Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2505.17694"},"observation_digest":"sha256:50dcc364f34437098060b0623048f91c001b2e0a306fd06a16e85f235bb2c803","observation_id":"b3c7d940-e2f3-4f7d-a548-bd53046113a1","resolution":{"observed_at":"2026-08-07T14:47:58.835279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-08-06T23:00:11.204437Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20187","last_updated":"2025-07-02T05:12:29Z","snapshot_observed_at":"2026-08-07T20:42:38.846597Z","submitted_at":"2025-06-25T07:26:42Z","title":"Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T23:00:11.204437Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2506.20187"},"observation_digest":"sha256:a7390024c69f1a2b6cdc5b115b64b15a2b7b19d7626a170d33e110c08dda0700","observation_id":"8b265304-d579-481a-a31f-dab3b8fadf1e","resolution":{"observed_at":"2026-08-06T23:00:11.204437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-08-06T18:11:16.254256Z","title":"Loongserve: Efficiently serving long-context large language models with elastic sequence parallelism","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.09019","last_updated":"2025-07-11T20:58:21Z","snapshot_observed_at":"2026-08-06T18:03:49.435059Z","submitted_at":"2025-07-11T20:58:21Z","title":"On Evaluating Performance of LLM Inference Serving Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:11:16.254256Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2507.09019"},"observation_digest":"sha256:205c15b76be0f5ff330d5eb5bd6ed905b1b2ab4a5f0884aabe5b72ce1c07c55a","observation_id":"9182bd48-f2ae-424d-a307-cd01d9864f44","resolution":{"observed_at":"2026-08-06T18:11:16.254256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":"2404.09526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-07-03T20:58:57.831808Z","title":"Loongserve: Efficiently serving long-context large language models with elas- tic sequence parallelism","venue":null,"work_id":"adea9a6b-a8f1-4d48-b2b3-c5f73ee3f3c1","year":2024},"citing_paper":{"arxiv_id":"2512.09427","last_updated":"2026-04-21T07:27:04Z","snapshot_observed_at":"2026-07-06T22:38:35.387503Z","submitted_at":"2025-12-10T08:52:20Z","title":"ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-16T23:54:08.052482Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2512.09427"},"observation_digest":"sha256:daf8500873d4841178cb2dcdd97b51d6f471a1a55a838fc2cbe5cdde22d694df","observation_id":"78b0628f-0d5a-40f6-9387-393d7d3399e3","resolution":{"observed_at":"2026-05-16T23:58:42.984162Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":"2404.09526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-07-03T20:58:57.831808Z","title":"Loongserve: Efficiently serving long-context large language models with elas- tic sequence parallelism","venue":null,"work_id":"adea9a6b-a8f1-4d48-b2b3-c5f73ee3f3c1","year":2024},"citing_paper":{"arxiv_id":"2605.23389","last_updated":"2026-05-22T09:00:45Z","snapshot_observed_at":"2026-08-01T23:40:06.222566Z","submitted_at":"2026-05-22T09:00:45Z","title":"AlignedServe: Orchestrating Prefix-aware Batching to Build a High-throughput and Computing-efficient LLM Serving System","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-25T03:12:49.028342Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2605.23389"},"observation_digest":"sha256:eb5a41873f0107864a11a63e633508cac6d677db217b347a2be50b7aeeeef1a9","observation_id":"831585a0-01cd-4bcc-a8f3-36e4afa18fca","resolution":{"observed_at":"2026-05-25T03:15:17.283971Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","version":2},"cited_work":{"arxiv_id":"2404.09526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09526","snapshot_observed_at":"2026-07-03T20:58:57.831808Z","title":"Loongserve: Efficiently serving long-context large language models with elas- tic sequence parallelism","venue":null,"work_id":"adea9a6b-a8f1-4d48-b2b3-c5f73ee3f3c1","year":2024},"citing_paper":{"arxiv_id":"2606.18431","last_updated":"2026-06-16T19:25:37Z","snapshot_observed_at":"2026-08-04T00:16:31.977200Z","submitted_at":"2026-06-16T19:25:37Z","title":"Beyond Prediction: Tail-Aware Scheduling for LLM Inference","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-27T01:01:34.655458Z"},"links":{"cited_paper":"/paper/2404.09526","citing_paper":"/paper/2606.18431"},"observation_digest":"sha256:79d30b8de007b676f77358c1e68e5d2d213abc34941ca0ac388a99e60392badb","observation_id":"df7fd63f-68ca-4243-8bc5-37580f12f8be","resolution":{"observed_at":"2026-07-03T20:58:57.833226Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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/2404.09526/citation-record","integrity":"/paper/2404.09526/integrity","json":"/paper/2404.09526/citation-record.json","paper":"/paper/2404.09526"},"outbound":[],"paper":{"arxiv_id":"2404.09526","last_updated":"2024-10-29T13:04:42Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T18:00:07.537987Z","submitted_at":"2024-04-15T07:45:04Z","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.09526."}