Paper Citation Record · LEDGER

Hydragen: High-Throughput LLM Inference with Shared Prefixes

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.05099.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.05099 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:50:23.266920Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:39:46.505898Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8dc0df40-83bd-4002-b1a2-e7021f3f8de3 · inbound

SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:20:01.176768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7378c09-19ef-4bdd-99d8-7d21e8faacae · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T04:42:23.616982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29ad9e26-4fd4-4c5b-bb39-9adf2a7d1edd · inbound

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching cites this paper.

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:58:11.956282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b29408a1-2498-4e35-9655-7eebfbf5dd8d · inbound

PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems cites this paper.

PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:15:06.784846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 871fe2b3-6d42-4b7d-9d84-4e326f4e8d49 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:17.460759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 215da78f-f1e6-4f31-bf4d-dd1394a001fc · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.559212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cdedbf31-6a5a-4d3f-bd19-7c5b09b0f9e7 · inbound

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:50:27.025286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf46b8a7-09f8-4d97-b749-180b2cc8fe59 · inbound

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving cites this paper.

MoE-Prefill: Zero Redundancy Overheads in MoE Prefill Serving Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:47:41.948204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1d616d3-9ae6-4017-9f98-73d82614dd82 · inbound

Towards Distributed Inference of LLMs on a P2P Network cites this paper.

Towards Distributed Inference of LLMs on a P2P Network Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:15:07.948549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2da98e4e-03c3-407d-82ff-7497334a5223 · inbound

Execution-State Capsules: Graph-Bound Execution-State Checkpoint and Restore for Low-Latency, Small-Batch, On-Device Physical-AI Serving cites this paper.

Execution-State Capsules: Graph-Bound Execution-State Checkpoint and Restore for Low-Latency, Small-Batch, On-Device Physical-AI Serving Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:49:29.915609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f20be0c-1054-4a50-b7b3-0d28561a3184 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:46.507262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1157fc1f-5e5f-40d0-85bc-7aee4a5b97ca · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 280

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:14:36.110959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec8e962e-f30c-442b-9bf0-228e2aebb6a8 · inbound

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving cites this paper.

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving Hydragen: High-Throughput LLM Inference with Shared Prefixes

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T09:50:23.266920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.