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Paper Citation Record · LEDGER

Locality-aware Fair Scheduling in LLM Serving

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 7 inbound Pith citation observations for arXiv:2501.14312.

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

pith.paper-citation-record.v1
2501.14312 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:03.602010Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:13:50.303760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:29:39.047838Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf59dafa-2447-4626-a08e-ebff14b04a9f · outbound

This paper cites Perplexity: Conversational Search Assis- tant.

Locality-aware Fair Scheduling in LLM Serving Perplexity: Conversational Search Assis- tant

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.594116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.334599Z digest=sha256:c9320924c8b47ad63dfbfd2fbebd326e718126246492febf279f00e1c4cc8a60

Observation 4b14ba8c-9f0f-4217-8318-82573fcf97b7 · outbound

This paper cites Fairness and load balancing in wireless lans using association control.

Locality-aware Fair Scheduling in LLM Serving Fairness and load balancing in wireless lans using association control

Reference 2

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raw_fallback, observed 2026-08-10T15:25:04.578693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.340290Z digest=sha256:b6826cb077e0d709305c4b064bc2c9fe52334974ab9c2e2a24b5ea150c8637ca

Observation 2a124685-6739-489c-91cd-3d7563a5cd97 · outbound

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

Locality-aware Fair Scheduling in LLM Serving Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

Resolution
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no resolver link, observed 2026-08-10T15:25:03.344995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.344995Z digest=sha256:686f15a67897472795648200b8689cf0a4ee303726e87dace12fe2e6de43922f

Observation b295ddcc-7441-476f-b60a-b1e301f2b159 · outbound

This paper cites Bal- ancing efficiency and fairness in heterogeneous gpu clus- ters for deep learning.

Locality-aware Fair Scheduling in LLM Serving Bal- ancing efficiency and fairness in heterogeneous gpu clus- ters for deep learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.563323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.350423Z digest=sha256:0e67f196285ff1ec3a12f0f8e787f0e8c52228828f867d9344eef6463b382db8

Observation 869e3ba9-499b-40fb-8c53-b9b51cbd585f · outbound

This paper cites Unearthing Inter-Job Dependencies for Better Cluster Scheduling.

Locality-aware Fair Scheduling in LLM Serving Unearthing Inter-Job Dependencies for Better Cluster Scheduling

Reference 5

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raw_fallback, observed 2026-08-10T15:25:04.547795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.355177Z digest=sha256:6fa912236597834330d2cf1f914cb6388abf9fda0f0d7c7b381fee3303c83de3

Observation 2bc277ae-e83c-45db-8450-2bac902ce452 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Locality-aware Fair Scheduling in LLM Serving Training Verifiers to Solve Math Word Problems

Reference 6

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.360205Z digest=sha256:90dc41ac64696c85a87ba4a9e23b1e439a09739307d17d01e7d3ba31b680688a

Observation ad089401-1559-47d8-8fa1-a8356a837ae6 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Locality-aware Fair Scheduling in LLM Serving DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 7

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no resolver link, observed 2026-08-10T15:25:03.365382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.365382Z digest=sha256:6b90b6a1557cf9663d0b1a4a7730ce9dcb6b67e5418a1d0c5faed16c1e7b4706

Observation d4fa5475-c8b6-46ef-95b8-7cc46ede0566 · outbound

This paper cites Deepseek-r1-lite-preview release.

Locality-aware Fair Scheduling in LLM Serving Deepseek-r1-lite-preview release

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.532491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.370493Z digest=sha256:a44cbf3b6f4f54ca5c05fc022a8e4a8a714d277069f80bcde59f9dd00fa6aef3

Observation 7e9448ee-139e-45a8-aec8-20000efd7740 · outbound

This paper cites Demers, Srinivasan Keshav, and Scott Shenker.

Locality-aware Fair Scheduling in LLM Serving Demers, Srinivasan Keshav, and Scott Shenker

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.516366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.375673Z digest=sha256:4e19059ac4b6c2397a8081c8bb62a121240d3c454f4afc5736c5cdc182c14e3f

Observation 4ff89e7d-a5ec-4f88-9642-e08a0e13abc1 · outbound

This paper cites The Llama 3 Herd of Models.

Locality-aware Fair Scheduling in LLM Serving The Llama 3 Herd of Models

Reference 10

Resolution
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no resolver link, observed 2026-08-10T15:25:03.380081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.380081Z digest=sha256:ca69e2131c54a68246f23a0040624ef1376385e7398d2231fcd8b1feb922990c

Observation a3937722-ecd4-4c98-aab8-927ebad6d904 · outbound

This paper cites Dominant resource fairness: fair allocation of multiple resource types.

Locality-aware Fair Scheduling in LLM Serving Dominant resource fairness: fair allocation of multiple resource types

Reference 11

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.500371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.385106Z digest=sha256:a207af431f07c515cbbc39b63da462a99bb0f38efcedb3e1d9aa7df1cd8e58c9

Observation 13619809-d698-480b-97ab-10227b8720f5 · outbound

This paper cites Github copilot: Your ai pair programmer.

Locality-aware Fair Scheduling in LLM Serving Github copilot: Your ai pair programmer

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.483326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.389826Z digest=sha256:e99d523988fc5e3b1b024e1eda9443712f91e62b369aea1e3ba1aa70c3df3752

Observation 36d8436f-6ad2-4af7-87dc-70d72a0fa2de · outbound

This paper cites Jamaloddin Golestani.

Locality-aware Fair Scheduling in LLM Serving Jamaloddin Golestani

Reference 13

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.466583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.394489Z digest=sha256:1a0999c427d4ef5de152032aab2581addf6de84a1929a68c0dddd253ec955c5b

Observation 46bb8218-f1a7-4522-a892-cb44facd1a53 · outbound

This paper cites Vin, and Haichen Cheng.

Locality-aware Fair Scheduling in LLM Serving Vin, and Haichen Cheng

Reference 14

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.450394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.398962Z digest=sha256:e0a10e46b26e336f44449009fa680877d7843f243940d2afaa2a5129fbbf66b0

Observation d4d28d76-41c1-4874-9646-a7a56949b465 · outbound

This paper cites Altruistic scheduling in Multi-Resource clusters.

Locality-aware Fair Scheduling in LLM Serving Altruistic scheduling in Multi-Resource clusters

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.434229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.403473Z digest=sha256:8e5e7b3d71255ea3106200c4de8efeb4d285c2827c77d2ee7f4d837d4b4b3a9d

Observation c14873f1-621a-4065-804c-85094fb44993 · outbound

This paper cites Quincy: Fair scheduling for distributed computing clusters.

Locality-aware Fair Scheduling in LLM Serving Quincy: Fair scheduling for distributed computing clusters

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.417699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.408163Z digest=sha256:945cd539ed024e1c08983b7d2d6a08aad73245dbb9c2f3db76fb30bbaf9fa935

Observation 11080ce0-748e-4387-8b4f-a9b4a272b7b1 · outbound

This paper cites A quantitative measure of fairness and discrimina- tion.

Locality-aware Fair Scheduling in LLM Serving A quantitative measure of fairness and discrimina- tion

Reference 17

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.401295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.412641Z digest=sha256:4ae646fa6f2c05f49ff50c7712f7d31dc67366b6ffdc4f585723456dc170cf74

Observation a55f14e9-a3b3-417c-8741-91e532e083e5 · outbound

This paper cites Mistral 7B.

Locality-aware Fair Scheduling in LLM Serving Mistral 7B

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.417003Z digest=sha256:f7b4d1b43d3641be00158669389e69ef691f66305d330c67b22856f018e82113

Observation 2eab1ac7-7a84-4cfd-a383-cfc3c703923e · outbound

This paper cites Chase, and Jasleen Kaur.

Locality-aware Fair Scheduling in LLM Serving Chase, and Jasleen Kaur

Reference 19

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.385461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.422735Z digest=sha256:ae692818076e6836fc1330d20cfea09f48fd38e967c5885702ca8e0c32349281

Observation 0211ae51-6ef1-405b-9428-b37b9a0d23ec · outbound

This paper cites CFS Sched- uler.

Locality-aware Fair Scheduling in LLM Serving CFS Sched- uler

Reference 20

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.369249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.427344Z digest=sha256:6941001605f5fad9e0360bbd9520249942b416f7db87d8d06712dd75dbd8d33f

Observation bc3467a7-1c25-4045-bbcb-1412b949c9f7 · outbound

This paper cites Com- pletely fair scheduler.

Locality-aware Fair Scheduling in LLM Serving Com- pletely fair scheduler

Reference 21

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.352673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.432542Z digest=sha256:5057aa72bea393decd2a23800a9edc0f6ee5827f201f0d2998865eb390bb7dca

Observation 65eb2b19-3e92-40a2-bf04-3fbeeaa8f514 · outbound

This paper cites Efficient memory man- agement for large language model serving with paged attention.

Locality-aware Fair Scheduling in LLM Serving Efficient memory man- agement for large language model serving with paged attention

Reference 22

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.336870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.437298Z digest=sha256:e0e92dc8dd7f3334e6ee8804808e3af28def6feb142a34f5be97137603295640

Observation 5a1527df-7bd1-42be-ba15-014669aa89d5 · outbound

This paper cites An axiomatic theory of fairness in network resource allocation.

Locality-aware Fair Scheduling in LLM Serving An axiomatic theory of fairness in network resource allocation

Reference 23

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.320778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.441946Z digest=sha256:a8b3e3afc4d8bf6050558e648cd284019cd0e6666b59fb14a67a8484336dfa2f

Observation 42c754b4-3301-46b0-9ad4-e9c0c4129abe · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

Locality-aware Fair Scheduling in LLM Serving LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 24

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.446327Z digest=sha256:074fde81fd2e18b052794cc887140d00aff5bf7b2970fa710e83962ce1641098

Observation 306ee94c-d263-47d9-9266-82b70f0f0008 · outbound

This paper cites {AlpaServe}: Sta- tistical multiplexing with model parallelism for deep learning serving.

Locality-aware Fair Scheduling in LLM Serving {AlpaServe}: Sta- tistical multiplexing with model parallelism for deep learning serving

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.283728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.450974Z digest=sha256:4515175197bf80445b8d7ff3eed1c5a4f5b1d3bf2114d0fcfb56815d538fd1cc

Observation 8a7a9f29-0bfc-4657-af80-fa71b750a100 · outbound

This paper cites Self- refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36, 2024.

Locality-aware Fair Scheduling in LLM Serving Self- refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems, 36, 2024

Reference 26

Resolution
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raw_fallback, observed 2026-08-10T15:25:04.240157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.454953Z digest=sha256:30cb2d587ea375db960bd397ded654037a357cd85b7083734c5c09f5d908652c

Observation f2842205-be90-41d7-82d7-fea1187090ef · outbound

This paper cites Themis: Fair and effi- cient gpu cluster scheduling.

Locality-aware Fair Scheduling in LLM Serving Themis: Fair and effi- cient gpu cluster scheduling

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.215207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.458735Z digest=sha256:43d5eb3076baf1db5258c7c8154773f8bed13c38c46c83709951b57598d994bb

Observation 1b5f8d37-2dbb-4192-ab63-7ce1a2bf239e · outbound

This paper cites {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads.

Locality-aware Fair Scheduling in LLM Serving {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.198396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.462736Z digest=sha256:ecaef3bd17c522e6dafd0c4a676f2ecac31baf9e35a3c5c05ebd969cd8db68ee

Observation 42d5aeeb-3571-4453-a8a8-171c53c9f814 · outbound

This paper cites Nesbit, Nidhi Aggarwal, James Laudon, and James E.

Locality-aware Fair Scheduling in LLM Serving Nesbit, Nidhi Aggarwal, James Laudon, and James E

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.180356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.467032Z digest=sha256:8c1be7bb9e4799b653cb79b425bb6bdddd7682d733a63abfa9cb74accb852be6

Observation 8c019aca-3e79-4625-b0fb-40d21fe6b0e4 · outbound

This paper cites Skeleton-of-thought: Prompting LLMs for efficient parallel generation.

Locality-aware Fair Scheduling in LLM Serving Skeleton-of-thought: Prompting LLMs for efficient parallel generation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.162454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.470799Z digest=sha256:a1abbd9cca151531912f657b2cab04d04e3305d8b5a9761e442ee5eb7f75f6d0

Observation 9fc8be8a-9e42-4147-a95e-dcccfe3a2b78 · outbound

This paper cites Gpt-4 technical report, 2023.

Locality-aware Fair Scheduling in LLM Serving Gpt-4 technical report, 2023

Reference 31

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no resolver link, observed 2026-08-10T15:25:03.474594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.474594Z digest=sha256:ae5510e61045b54c4369e7e5062366f7e755255546b78e51bcfe18aa52b1416f

Observation 0be02ea0-a056-45b6-855a-51d709c40fad · outbound

This paper cites Rate limit.

Locality-aware Fair Scheduling in LLM Serving Rate limit

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.135747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.478440Z digest=sha256:d2c7ad3b71b8e65a514fbc45eaa7904c2a99f62d0689ba1a28b118ce5b3e32e6

Observation ac4a4d76-8bc7-4c05-97ce-e42439d68816 · outbound

This paper cites Learning to reason with llms.

Locality-aware Fair Scheduling in LLM Serving Learning to reason with llms

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.116708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.482651Z digest=sha256:cfcfa773844d70ed2bf2d31ee0a130bc453e20aeb00dd952668d59d58718fe1c

Observation d65ccfa5-2b13-4943-ac46-901733a6a050 · outbound

This paper cites Parekh and R.G.

Locality-aware Fair Scheduling in LLM Serving Parekh and R.G

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.101037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.486703Z digest=sha256:feb4331691ec4a34cd70cb3edd321daf5c49d0f544d64e13f349fd53b0c9553b

Observation 8dfb0cfb-f548-4920-af8f-220b914ea3d8 · outbound

This paper cites O’Brien, Carrie J.

Locality-aware Fair Scheduling in LLM Serving O’Brien, Carrie J

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:03.491063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.491063Z digest=sha256:d33f21c281e512809642c48732723f8689b269b30dead4abf9d1709b018c5704

Observation a0ae98b1-8efd-4fc3-9b18-5811345a0079 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Locality-aware Fair Scheduling in LLM Serving Gorilla: Large Language Model Connected with Massive APIs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:03.495555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.495555Z digest=sha256:df00fb33288c67fccc02b1f7d1d3392d45dbd212abc817c43e2141d405b61366

Observation faee6205-5029-495d-93f1-caf1b84983b5 · outbound

This paper cites Efficiently scal- ing transformer inference.

Locality-aware Fair Scheduling in LLM Serving Efficiently scal- ing transformer inference

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.500011Z digest=sha256:cc933e708d3e3eea4df2272059ea41b152fbacf17243f802c7a00a6a62a08dbe

Observation fec3339f-f14e-485c-ae68-6b38cd66f9ab · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

Locality-aware Fair Scheduling in LLM Serving Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 38

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no resolver link, observed 2026-08-10T15:25:03.504629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.504629Z digest=sha256:849c4661803c9e618b87340f89109c8fddee37e8aaa422d83595fa4f724fdedc

Observation 5dba6121-327f-47ac-9b32-2fc54391b45e · outbound

This paper cites Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning.

Locality-aware Fair Scheduling in LLM Serving Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.065770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.509352Z digest=sha256:f2883b921b35a841bfb9433bf0ccad1b8c28bc02ffb613d4df02a99fdfee5884

Observation 2c4bd1a2-bd40-488e-9465-79011aecbd48 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Locality-aware Fair Scheduling in LLM Serving Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 40

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no resolver link, observed 2026-08-10T15:25:03.513616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.513616Z digest=sha256:6d53f6f6bed4de30487e509f8fd710b6b63e9e0c0df86336ca09afaca0c5572a

Observation 6e8ed655-8260-47bb-8273-f228a6607ff5 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

Locality-aware Fair Scheduling in LLM Serving S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 41

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no resolver link, observed 2026-08-10T15:25:03.518208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.518208Z digest=sha256:ba0efd07faa5966086218fdbc27f96490ccd2d65ab357c093414c727e833da63

Observation af8f2395-abae-42c6-9928-ce4d06fc1af5 · outbound

This paper cites Fairness in Serving Large Language Models.

Locality-aware Fair Scheduling in LLM Serving Fairness in Serving Large Language Models

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.048689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.523051Z digest=sha256:99b12e410650011610e9faa860a31e7a6db493fc7f6a0f7aa9ac7c077d0d9696

Observation 6b304e6c-60ab-4d6f-87eb-84f9f301462e · outbound

This paper cites Shreedhar and George Varghese.

Locality-aware Fair Scheduling in LLM Serving Shreedhar and George Varghese

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.032574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.527566Z digest=sha256:da9f37aad33fd9d5ddc29acd71a828d25dfc63a26993e92236776189ffbf3f57

Observation a68e6c10-b96b-400b-9f59-91ff5c781f76 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Locality-aware Fair Scheduling in LLM Serving Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 44

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no resolver link, observed 2026-08-10T15:25:03.532273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.532273Z digest=sha256:1e4e629d89306c065b8e01a69644d05afff50093aec0177ee63bfb7094f7d021

Observation 18d5163c-02b9-49cc-8a0b-b9195e0ef83a · outbound

This paper cites Preble: Efficient Distributed Prompt Scheduling for LLM Serving.

Locality-aware Fair Scheduling in LLM Serving Preble: Efficient Distributed Prompt Scheduling for LLM Serving

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.017245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.537196Z digest=sha256:935194968002c8a63a295f050d395c8d2a85da5aebd8cd330cf00db474865782

Observation 8bfeb0a3-68c7-453e-907b-cf0c6c9c3180 · outbound

This paper cites Can Scheduling Overhead Dom- inate LLM Inference Performance? A Study of CPU Scheduling Overhead on Two Popular LLM Infer- ence Systems.

Locality-aware Fair Scheduling in LLM Serving Can Scheduling Overhead Dom- inate LLM Inference Performance? A Study of CPU Scheduling Overhead on Two Popular LLM Infer- ence Systems

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:04.001724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.541833Z digest=sha256:ca3452d689dfb65d2dd60c1aa128b0503776ed453a6023df8a376e1d08a73c18

Observation f7976659-769c-4866-a405-31b3f98dbd42 · outbound

This paper cites Earliest Eligi- ble Virtual Deadline First: A Flexible and Accurate Mechanism for Proportional Share Resource Allocation.

Locality-aware Fair Scheduling in LLM Serving Earliest Eligi- ble Virtual Deadline First: A Flexible and Accurate Mechanism for Proportional Share Resource Allocation

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.987385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.546376Z digest=sha256:6c5e85e1a3119c739230d2f1373b440f2844e434af5bf15d8c15ad943ff51465

Observation d179fdad-04ba-4d89-8685-b3b550354f0f · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Locality-aware Fair Scheduling in LLM Serving Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 48

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no resolver link, observed 2026-08-10T15:25:03.550916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.550916Z digest=sha256:edbf6dc7483c4f00bc7f9109fcae1cee32f25f13f46585cebb036f7e03e33ede

Observation 90f1c285-2d6e-4cfb-b41b-666acaba818a · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Locality-aware Fair Scheduling in LLM Serving Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 49

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no resolver link, observed 2026-08-10T15:25:03.555391Z

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source=pdf_text observed=2026-08-10T15:25:03.555391Z digest=sha256:bd01ab9a707a106ab96d03b8ae65c31fea72ad329408753cffebb4eb90ba524b

Observation 462e1a0a-d55c-4ba0-86e6-4c5e1346d1a3 · outbound

This paper cites Max-min fairness.

Locality-aware Fair Scheduling in LLM Serving Max-min fairness

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.961380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.560139Z digest=sha256:5443ef7914980a1c7be60aeb50a0ac53613a32c60b183c4dc424b19475772e84

Observation b79be891-407b-49d0-8282-da7c5ae3ac32 · outbound

This paper cites Qwen2 Technical Report.

Locality-aware Fair Scheduling in LLM Serving Qwen2 Technical Report

Reference 51

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no resolver link, observed 2026-08-10T15:25:03.564609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.564609Z digest=sha256:2a84b21c664dae4ec383a37c8ac40d7c63002f238de014b3595e360d4449352d

Observation 269ef925-2fb6-465c-88da-a721da077d3d · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large lan- guage models.

Locality-aware Fair Scheduling in LLM Serving Tree of thoughts: Deliberate problem solving with large lan- guage models

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.945154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.569883Z digest=sha256:f04b749ee712b9f059ba9b830082b5955243b74c12a00800ae598ac915962105

Observation f51f4cd1-13da-4091-8098-bd59d946b8cc · outbound

This paper cites Orca: A distributed serving system for transformer-based generative mod- els.

Locality-aware Fair Scheduling in LLM Serving Orca: A distributed serving system for transformer-based generative mod- els

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.930231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.574352Z digest=sha256:e6c2a917dbeacc72309962cabe7215c4ceb116d08087e927e5bcee4f80c6ed20

Observation 3683dc28-3382-4270-a35f-9f76d1fd57ef · outbound

This paper cites Delay Scheduling: a Simple Technique for Achieving Locality and Fairness in Cluster Scheduling.

Locality-aware Fair Scheduling in LLM Serving Delay Scheduling: a Simple Technique for Achieving Locality and Fairness in Cluster Scheduling

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.915117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.579004Z digest=sha256:26789df65606227bceafb0df831421d73870f7573dd5f46803563526c863d486

Observation 1bc6ab0c-4925-41b2-aa0f-7f7ec2aca181 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

Locality-aware Fair Scheduling in LLM Serving ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 55

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unresolved
no resolver link, observed 2026-08-10T15:25:03.583593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.583593Z digest=sha256:66d7a7adb9d2a922b004d22c019cdb9ea576de7843ffda94315683ab6a6d9eee

Observation 4b5675d2-efd7-41a8-81aa-e44b9bc6b865 · outbound

This paper cites BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching.

Locality-aware Fair Scheduling in LLM Serving BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching

Reference 56

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unresolved
no resolver link, observed 2026-08-10T15:25:03.588191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.588191Z digest=sha256:56cc44252e5a468b46825fcc40adb1d9914eee4d82ea93f74bfcb4fca282b0cd

Observation 1b801951-f9d4-48f1-a736-c78d4c86ffe6 · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

Locality-aware Fair Scheduling in LLM Serving P Xing, Hao Zhang, Joseph E

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.899256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.592476Z digest=sha256:94aa8315093810a6944ccc1069301128e113eda041acc5af639a6689088cc2a1

Observation bb715e18-8dcb-4e96-9d6f-946e9a6fbce6 · outbound

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

Locality-aware Fair Scheduling in LLM Serving SGLang: Efficient Execution of Structured Language Model Programs

Reference 58

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no resolver link, observed 2026-08-10T15:25:03.596569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:03.596569Z digest=sha256:dd27f604b91bf83411be007b36d525e2c52e26b30da9ae7416bf535b179763a0

Observation 1671900f-6479-4065-9ad5-753f9265a002 · outbound

This paper cites • Given that a is the lower bound of the server capacity, the dispatch time for f is therefore bounded: D(r f ) − A(r f ) ≤ 2 · (n − 1) · Qu+U a.

Locality-aware Fair Scheduling in LLM Serving • Given that a is the lower bound of the server capacity, the dispatch time for f is therefore bounded: D(r f ) − A(r f ) ≤ 2 · (n − 1) · Qu+U a

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-10T15:25:03.883466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T15:25:03.602010Z digest=sha256:25d1a0ceb1db2d2fb54ad41093903cdbb567dce671c83900aa5f8db315970ed4

Pith citing papers

Observation be1b53a0-fd3b-40e0-b162-faf220e64753 · inbound

ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production cites this paper.

ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production Locality-aware Fair Scheduling in LLM Serving

Reference 10

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verified exact
arxiv_id, observed 2026-05-22T15:44:58.174166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T15:42:05.266854Z digest=sha256:1801d2150af70286e9e2d33515cce4f5f85858f103f0344e8f34cf91c29df02f

Observation 2b2a4a07-aebe-4f29-834e-c3028398f480 · inbound

MQFQ-Sticky: Fair Queueing For Serverless GPU Functions cites this paper.

MQFQ-Sticky: Fair Queueing For Serverless GPU Functions Locality-aware Fair Scheduling in LLM Serving

Reference 19

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unresolved
no resolver link, observed 2026-08-06T18:16:49.848682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:16:49.848682Z digest=sha256:4bf65a37400bc94cc7bbf4316adaae80d144d65424394e3364670377549a7a19

Observation e6af1bdc-6072-4929-9cb7-fda60eb9d9b9 · inbound

CascadeInfer: Length-Aware Scheduling of LLM Serving with Low Latency and Load Balancing cites this paper.

CascadeInfer: Length-Aware Scheduling of LLM Serving with Low Latency and Load Balancing Locality-aware Fair Scheduling in LLM Serving

Reference 3

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verified exact
arxiv_id, observed 2026-05-21T17:25:25.292292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T17:24:59.556926Z digest=sha256:a7a8b3e0f6f4d72bd31f01929834ce62e80d90b73994760b514e734b97b533a7

Observation ec7be858-6faa-44cd-9403-22f9a60797da · inbound

Efficient Remote KV Cache Reuse with GPU-native Video Codec cites this paper.

Efficient Remote KV Cache Reuse with GPU-native Video Codec Locality-aware Fair Scheduling in LLM Serving

Reference 21

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verified exact
arxiv_id, observed 2026-05-16T05:22:22.829821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T05:21:04.555356Z digest=sha256:f4e87a6e673ab79e74dc0702e8481e91d5cbd37709bba3a92b6720ce057f3b3f

Observation 006f4cd1-3711-47d9-a179-d390ad8a3a80 · inbound

FMplex: Model Virtualization for Serving Extensible Foundation Models cites this paper.

FMplex: Model Virtualization for Serving Extensible Foundation Models Locality-aware Fair Scheduling in LLM Serving

Reference 9

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verified exact
arxiv_id, observed 2026-07-03T03:47:35.372686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T14:50:35.584259Z digest=sha256:a406febe7c91708bf8a33ac1807e28761ccd2418f735ad4e768eb8e2d450b7ed

Observation cdf7d4ed-7260-49b5-b85e-2318034ef8ae · inbound

Recency/Frequency Adaptive KV Caching for Large Language Model Serving cites this paper.

Recency/Frequency Adaptive KV Caching for Large Language Model Serving Locality-aware Fair Scheduling in LLM Serving

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:29:39.049826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T13:24:44.218871Z digest=sha256:3bf45063d74123d0e2baccca6b5c22714aade7641fc19a7c196b45121e1e485a

Observation 33e088e5-c92f-4645-b6e3-a4810de06ce4 · inbound

Scheduling Mixed RL Rollouts Beyond Prefix Locality cites this paper.

Scheduling Mixed RL Rollouts Beyond Prefix Locality Locality-aware Fair Scheduling in LLM Serving

Reference 15

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unresolved
no resolver link, observed 2026-08-12T05:13:50.303760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:13:50.303760Z digest=sha256:f87a49904acc638fe92f2e40a2f5fe8d9f15d5f979686037d4684bdb07cc0998