Paper Citation Record · LEDGER

High-Throughput LLM inference on Heterogeneous Clusters

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2504.15303.

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

pith.paper-citation-record.v1
2504.15303 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:09:23.914434Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:43:40.017881Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:43:40.094814Z

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy4
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 861b806d-8242-47a2-9d00-db92db1bb993 · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.205011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 076007c5-9bcd-426f-b5f7-2f23e5f64c5f · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.193415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e5a6c90-0e19-49c3-bce2-cd745695f835 · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.181047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b000e475-86db-4cbf-97ab-7b3d96f46b24 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

High-Throughput LLM inference on Heterogeneous Clusters Evaluating Large Language Models Trained on Code

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.854937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ed38b6-00b3-463e-859c-ee3e8d328ce6 · outbound

This paper cites arXiv preprint arXiv:2406.1351 1 (2024).

High-Throughput LLM inference on Heterogeneous Clusters arXiv preprint arXiv:2406.1351 1 (2024)

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-16T12:09:24.072119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9dfe42d5-b9b5-4de9-a474-39cb550c7ae9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

High-Throughput LLM inference on Heterogeneous Clusters DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.864473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8de3275-90f6-4830-b971-de73cec3df0a · outbound

This paper cites Advances in Ne ural Information Pro- cessing Systems 36, 18015–18027 (2023).

High-Throughput LLM inference on Heterogeneous Clusters Advances in Ne ural Information Pro- cessing Systems 36, 18015–18027 (2023)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:24.167709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b20ce6a6-11c9-46b2-996a-476106280b7c · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

High-Throughput LLM inference on Heterogeneous Clusters Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.873351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21904c6-e6a9-4b13-9962-93a6990548f3 · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.156445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a06eaea0-ebc4-418c-8cee-d9a8e292a9db · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.143902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf2e77fe-08e5-42d0-8d9f-2177fde29934 · outbound

This paper cites GPT-4 Technical Report.

High-Throughput LLM inference on Heterogeneous Clusters GPT-4 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.883846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b848f4dd-d705-4c60-b6e2-8ebae0a8c7ef · outbound

This paper cites an unresolved cited work.

High-Throughput LLM inference on Heterogeneous Clusters Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:09:24.131501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbb20046-e600-45b0-9382-043f702ddf1d · outbound

This paper cites Nature methods 17(3), 261–272 (2020).

High-Throughput LLM inference on Heterogeneous Clusters Nature methods 17(3), 261–272 (2020)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:24.119388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f5b55c8-0469-4fa0-a32d-06a01cb531b6 · outbound

This paper cites Fast Distributed Inference Serving for Large Language Models.

High-Throughput LLM inference on Heterogeneous Clusters Fast Distributed Inference Serving for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.895249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca441004-69a2-4f8e-96f1-faedaf560d92 · outbound

This paper cites Fast On-device LLM Inference with NPUs.

High-Throughput LLM inference on Heterogeneous Clusters Fast On-device LLM Inference with NPUs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.899406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3da99b-f399-4ae5-b190-65e6c950db00 · outbound

This paper cites Qwen2.5 Technical Report.

High-Throughput LLM inference on Heterogeneous Clusters Qwen2.5 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.903296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b3701f-9bea-4b37-b785-5c226b3f18a0 · outbound

This paper cites In: 16th USENIX Symposium on Oper- ating Systems Design and Implementation (OSDI 22).

High-Throughput LLM inference on Heterogeneous Clusters In: 16th USENIX Symposium on Oper- ating Systems Design and Implementation (OSDI 22)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:24.106864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aec17842-2ec0-4b5e-9cd2-bc784a06ab90 · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

High-Throughput LLM inference on Heterogeneous Clusters CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:23.910776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84fb906-3839-4054-ba1d-d69577356bb8 · outbound

This paper cites Adva nces in Neural Infor- mation Processing Systems 36, 65517–65530 (2023).

High-Throughput LLM inference on Heterogeneous Clusters Adva nces in Neural Infor- mation Processing Systems 36, 65517–65530 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:24.095421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 39c01b4e-163c-4b5e-adf0-7200a49278c6 · inbound

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT cites this paper.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT High-Throughput LLM inference on Heterogeneous Clusters

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:43:40.100630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.