Pith. sign in

Paper Citation Record · LEDGER

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 4 inbound Pith citation observations for arXiv:2505.23022.

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

pith.paper-citation-record.v1
2505.23022 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:08.833699Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:31:30.609964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:17:35.451788Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved7
  • parse uncertain1
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf652976-5e64-4903-aa44-52690ad8ff94 · outbound

This paper cites An empirical evaluation of github copilot’s code suggestions.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference An empirical evaluation of github copilot’s code suggestions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:15.723429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:05.614065Z digest=sha256:b4b555a6d9f210c7b2c8fecab8e95de9efed90cd04938c8aa895825c25a4620e

Observation 5dac1a84-f3aa-4475-8aa5-0ceb2f7939a5 · outbound

This paper cites Manus, 2025.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Manus, 2025

Reference 3

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T13:01:15.543697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:05.694777Z digest=sha256:ae116c22818f5a09a5ba99a04ef3d08d671d0c86fc3cdd65124d6682ade23309

Observation 232529ab-a5f8-4ffe-8597-9b46d4bc9aa1 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Gonzalez, Hao Zhang, and Ion Stoica

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:15.381272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:05.747704Z digest=sha256:8fc420b937bba67e2046245351e07eb546ae20cf7b8d7652833ea1464f0a249e

Observation d0f72a92-cd58-4b7c-93d4-a4a6e8da3dc5 · outbound

This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Gonzalez, Clark Barrett, and Ying Sheng

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:15.150950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:05.828744Z digest=sha256:e0725a2143b6ab59a6f867414b0ea54bd9fbf856d26b7bffb0c6602e5b2cd124

Observation b6c4399b-3944-497a-ae77-b944f200abae · outbound

This paper cites Orca: A Distributed Serving System for Transformer-Based Generative Models.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Orca: A Distributed Serving System for Transformer-Based Generative Models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.988288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:05.936449Z digest=sha256:093c46faecf9760a314d214caa66d878212ff8402c7d44a571abfea5fc64a1c2

Observation 7f5d8508-dcb4-4c4b-94d5-3f66e6f9b151 · outbound

This paper cites Gulavani, and Ramachandran Ramjee.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Gulavani, and Ramachandran Ramjee

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.799655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.012820Z digest=sha256:87ce22762fed6477cd976f879fac61dd4f976fa05ceb1694110a30b6551773a2

Observation d0f95659-3acb-4308-ae12-40dfa3c7e15c · outbound

This paper cites Tensorrt-llm.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Tensorrt-llm

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.648656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.090736Z digest=sha256:f49a44007e85684721aff7f47854ef6ea8ec3b27b764283034d16ee4e0b48461

Observation 47a7fc43-d000-469b-a164-1d16696392a3 · outbound

This paper cites Towards efficient generative large language model serving: A survey from algorithms to systems, 2023.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Towards efficient generative large language model serving: A survey from algorithms to systems, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.509940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.167878Z digest=sha256:cc222887cf10ff0c1cf4a25fe577e2bebd85eb41ca7fce94bd8d335b2d0bbb27

Observation 4ba94722-1da6-48c8-a579-b97a3fb7a436 · outbound

This paper cites Queue management for slo- oriented large language model serving, February 2025.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Queue management for slo- oriented large language model serving, February 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.319601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.229261Z digest=sha256:eddec1293d2fbd5082daa68252791f140af67b2b8817d08c17745524f8b23162

Observation 6de0359c-649f-47a3-b15f-772ec5ee8e44 · outbound

This paper cites AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding, January 2025.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding, January 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:14.150235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.325864Z digest=sha256:c75a88896066c0762e8efdfd5aaa122ea48efab484a4ac292b8317e4baf31e57

Observation 8e0a672b-8214-4f37-8596-63e9a20e4aee · outbound

This paper cites Distserve: Disaggregating prefill and decoding for goodput-optimized large language model serving, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Distserve: Disaggregating prefill and decoding for goodput-optimized large language model serving, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:13.935087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.434490Z digest=sha256:c958ee934cebc20e2adc9482e2176b8773da6eda4f492ab52ea05ebacd8b2c2c

Observation b69eb53a-76f9-45c7-957d-2f957edefd8c · outbound

This paper cites An economical and slo-guaranteed cloud storage service across multiple cloud service providers.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference An economical and slo-guaranteed cloud storage service across multiple cloud service providers

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:13.743479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.513069Z digest=sha256:15b11a90ea904bbb00ec0c8016a4e2b67e7d7c9d21cec838685939cf59f6b5e2

Observation 404875bf-ea2a-4282-8380-1d8c8e70444e · outbound

This paper cites In 2019 USENIX Annual Technical Conference (USENIX ATC 19), pages 1049–1062, 2019.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference In 2019 USENIX Annual Technical Conference (USENIX ATC 19), pages 1049–1062, 2019

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:13.532020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.606817Z digest=sha256:79e6e1727e14e0c4d0675eb9d7bda25a09dc29b27dc70d460901d5ff446ba512

Observation 0b93c78e-38ab-48d7-9432-b24199572a72 · outbound

This paper cites Slo-aware inference scheduler for heterogeneous processors in edge platforms.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Slo-aware inference scheduler for heterogeneous processors in edge platforms

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:13.353035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.675989Z digest=sha256:b7a6c8e968a9fe20927021908e030265f96b2a3db536e05d318a402fe3915a98

Observation 78dc2b82-2319-4429-9d1b-ab29d95c4b08 · outbound

This paper cites an unresolved cited work.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:01:13.170274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.823359Z digest=sha256:200711be505e2668d3fb39bd10477505f4de589ea0d6c777fa1a399e2ef2cf73

Observation 8d4e7a25-c822-4722-905f-4fe02cfff7a8 · outbound

This paper cites Opt: Open pre-trained transformer language models, 2022.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Opt: Open pre-trained transformer language models, 2022

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:12.949214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:06.967485Z digest=sha256:88de1411af2f94f2da0d1204e177a92f7d2969f53f0a08cabfec433b8132bce6

Observation 0c149864-c14e-44bb-a681-4e2072572f4f · outbound

This paper cites S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput, June 2023.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput, June 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:12.686671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.078547Z digest=sha256:89c01886ac48a3d0d4e308b03d47a75e29211f31dabb5df409e6aa78e0311af0

Observation 67290b36-efaf-40ac-9a10-35b663ba8ed4 · outbound

This paper cites Kalbarczyk, Tamer Ba¸ sar, and Ravishankar K.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Kalbarczyk, Tamer Ba¸ sar, and Ravishankar K

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:12.456869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.182355Z digest=sha256:c4f95e92d96a7eaf101a77b04759a9ca08a0dd5e50cdbe42359e329dd1e1c4d6

Observation 1aa6fd7e-ba90-4fdc-b3fc-eeb749ceffd6 · outbound

This paper cites Dlrover-rm: Resource optimization for deep recommendation models training in the cloud, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Dlrover-rm: Resource optimization for deep recommendation models training in the cloud, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:12.262751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.282259Z digest=sha256:bd896953b5be574d2486d7b3e504a4b4bea5692bd34c95e491d1abe2edade895

Observation 870f7e82-76da-4076-8975-762378b0ca5b · outbound

This paper cites Admission control and routing: Theory and practice.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Admission control and routing: Theory and practice

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:12.078603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.344671Z digest=sha256:ccc4cb39731d2a003c080678b209e26cecd039cd78d06a207a2877bfe8f12401

Observation 69b7102c-9e21-459f-b6cc-9a91251ff91c · outbound

This paper cites The llama 3 herd of models, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference The llama 3 herd of models, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:11.888905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.424576Z digest=sha256:20fcc18eeee1fbd8d2f561a47d54d2cd9a7c594c3120989c5a57b2137258f64e

Observation c647c194-d9b8-4a96-9d06-05f2f1745537 · outbound

This paper cites Gemma 2: Improving open language models at a practical size, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Gemma 2: Improving open language models at a practical size, 2024

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:07.496686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:07.496686Z digest=sha256:08208b448b766705a77f6a1fc15aa61d9dc84cbd3960273b82600d26a5e05f1b

Observation f2223d29-da56-4ada-b03e-ebd070464eca · outbound

This paper cites Megatron-lm: Training multi-billion parameter language models using model parallelism, 2020.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Megatron-lm: Training multi-billion parameter language models using model parallelism, 2020

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:07.578575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:07.578575Z digest=sha256:c82531273f1b6e9d5706369d608d9112fe8ec34deca462e023e0b909d64cc6e8

Observation ccc53416-df6e-476e-a39a-b87cb25263fb · outbound

This paper cites Sharegpt, 2023.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Sharegpt, 2023

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:11.673642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.639451Z digest=sha256:90ebb249545f194c8c30a915ca26f5f6bf0fb4d2c047b2d3d500e34958de5f64

Observation 12132cd1-53fd-46d2-8b78-365d8284488e · outbound

This paper cites Xing, Joseph E.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Xing, Joseph E

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:07.715642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:07.715642Z digest=sha256:b28a51adc4f8b748c3fe90783f06edd22b3e68f920200435a1b3e7627df24543

Observation 67bdd9f0-3584-435c-ac05-be4f6e1f7177 · outbound

This paper cites Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving, July 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving, July 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:11.469493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:07.863381Z digest=sha256:bf9e6725af2d5c62555150e376b7ae7f54a6f0c5007d1b36693c90aa53c25f19

Observation d6efa4cf-8bc3-4d52-b094-b1867b149877 · outbound

This paper cites Azuretrace.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Azuretrace

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:11.203871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.043488Z digest=sha256:46e005224bac2f76eb6bca8873649faebc5d5d244db4c3668c79e0451a76a497

Observation 3bfbd2bc-654a-4daa-a4a0-81dfb60226be · outbound

This paper cites Efficient LLM Scheduling by Learning to Rank, August 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Efficient LLM Scheduling by Learning to Rank, August 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:10.845757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.180978Z digest=sha256:d86a7615e389383dd9c755601d4f1099b0e2fc9e24cbaf12fbf2d2273627daab

Observation ea2a501c-d317-4001-8ed6-47f7b538e28b · outbound

This paper cites LLM Inference Serving: Survey of Recent Advances and Opportunities, July 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference LLM Inference Serving: Survey of Recent Advances and Opportunities, July 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:10.496033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.303264Z digest=sha256:fb390e525603a6621ae99c44aa16bfdfb8c30ad08b893e706f29b5a47b281d73

Observation 6e7be845-e55d-49ef-b698-6744e8ab2511 · outbound

This paper cites Splitwise: Efficient generative llm inference using phase splitting, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Splitwise: Efficient generative llm inference using phase splitting, 2024

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:08.307016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:08.307016Z digest=sha256:6cc4afffd30e990869cdd713b73c8f2ba1f7b2ad300857fe04ccb7634948d487

Observation c411ed0c-61be-40a8-b174-46208c5ff672 · outbound

This paper cites Fairness in serving large language models.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Fairness in serving large language models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:08.310744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:08.310744Z digest=sha256:a163361dc7a4e5c08cba240bcfba91c341a5b5018663420d36a5f306d4b31108

Observation 9d4cbf5a-0656-4f56-8c5b-25f4e63ffe0a · outbound

This paper cites FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:08.314236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:08.314236Z digest=sha256:d2f7ec5d7a4a6ceea077e733b60432b09619a971b0fd101813318873dc2af872

Observation 2e529240-54d4-4881-94b8-cbd8ad91c66e · outbound

This paper cites Enabling efficient batch serving for lmaas via generation length prediction, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Enabling efficient batch serving for lmaas via generation length prediction, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:10.126150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.336063Z digest=sha256:b10bb1071306b66a2e3f06d30dec02e4494cfda727279131f025e3b48a2924d6

Observation df7a4217-9a31-4ae0-a8c1-5b87bc261274 · outbound

This paper cites Don’t stop me now: Embedding based scheduling for llms, 2024.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Don’t stop me now: Embedding based scheduling for llms, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:01:09.819602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.485882Z digest=sha256:852d2f5ae7a65d85ed91cfa9c735417386656a3bf5e2cdff0f49580e229dfee7

Observation f6020374-55bf-46f2-a057-d32013c34a1d · outbound

This paper cites prompt.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference prompt

Reference 36

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:01:09.551537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.707854Z digest=sha256:23009c5c705082f530b52c1e8adfbc28d545989237a1cfa338153236e01433b0

Observation ed84c9c1-4808-48f5-8264-3f01d7550e4b · outbound

This paper cites an unresolved cited work.

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference Unresolved cited work

Reference 37

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:01:09.166759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T13:01:08.833699Z digest=sha256:ec7b8e35786e99fa5749e86bfd65fceb1ea4679ca8ae536c56f440ef3537d33a

Pith citing papers

Observation c6f401d1-54fd-4a9e-b0f0-9371ee13bd67 · inbound

Execution Envelopes: A Shared Admission Contract for Backend AI Execution Requests cites this paper.

Execution Envelopes: A Shared Admission Contract for Backend AI Execution Requests SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:41:23.932858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T00:52:08.808784Z digest=sha256:de763296b84c94b52d997b8e8ebceffd47dfb8920749eb344fb802d50434e145

Observation dcc42ff6-60bb-48ab-bf2f-4314cf540ce3 · inbound

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation cites this paper.

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:17:35.453716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T15:24:11.732604Z digest=sha256:7e37b91374b48c617b9af18589d9ca4ff8fb643f07dc9e0fd9e52ab4934a18c4

Observation b5055871-4286-4057-bb44-168a0674ab55 · inbound

Trusted Floors Under Untrusted Learners: A Runtime Assured-SLO Guard for ML Serving cites this paper.

Trusted Floors Under Untrusted Learners: A Runtime Assured-SLO Guard for ML Serving SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T01:11:57.017686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:11:57.017686Z digest=sha256:9bdd5bfc11fe6998423434d6beda6955e0c1f49ba4913bb80862e0e097669679

Observation aae20681-035e-4e0f-b68f-0b984d1c371d · inbound

Trusted Floors Under Untrusted Learners: A Runtime Assured-SLO Guard for ML Serving cites this paper.

Trusted Floors Under Untrusted Learners: A Runtime Assured-SLO Guard for ML Serving SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T07:31:30.609964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:31:30.609964Z digest=sha256:89065e4dc0d45a342ebd63ce134c89b6a5620b24417912d10d94133a6fed3e08