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Paper Citation Record · LEDGER

Efficient LLM Scheduling by Learning to Rank

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.15792.

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

pith.paper-citation-record.v1
2408.15792 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:20.668798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:58:11.939588Z

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 d6cffcd0-997e-4ed8-b7e3-b00084c21a0f · 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 Efficient LLM Scheduling by Learning to Rank

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:58:11.942769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T16:57:46.645061Z digest=sha256:e73fccd2468557b08a0701c7770efa55e310020034052be559df668aa1370acd

Observation fd320b43-ac2b-4ddb-b872-fb874a849378 · inbound

Semantic Scheduling for LLM Inference cites this paper.

Semantic Scheduling for LLM Inference Efficient LLM Scheduling by Learning to Rank

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:20.668798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:09:20.668798Z digest=sha256:f1cbe19d90d70f0cce7fa1089335d55042e0a04342c19d02bb25afb61df082c4

Observation 9afccbaa-727d-41b4-8f2c-29152b6b8767 · inbound

On Evaluating Performance of LLM Inference Serving Systems cites this paper.

On Evaluating Performance of LLM Inference Serving Systems Efficient LLM Scheduling by Learning to Rank

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:15.858434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:11:15.858434Z digest=sha256:7350ae4e81fd97e0e38bbfe2d8b62f57e8ca5d7b748d8e91d67c7e2678bf7fcb

Observation a2a5b4ec-bc6f-45e1-a9d3-dfb502f56274 · inbound

Agentic AI Systems Should Be Designed as Marginal Token Allocators cites this paper.

Agentic AI Systems Should Be Designed as Marginal Token Allocators Efficient LLM Scheduling by Learning to Rank

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:46:05.683454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T15:11:41.570592Z digest=sha256:c7e19f04fb4cb76d4da51832a3ca9ab2c5e14929c0df60fbf3c3cfc44a1c5cf8

Observation 716fb37d-d4d0-4b47-941c-1b377e54d7ec · inbound

Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale cites this paper.

Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale Efficient LLM Scheduling by Learning to Rank

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:14.027016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T05:22:14.122156Z digest=sha256:415dc7e41200af7b81dc87bc7c491d1720b26d925a10ca59108319303e962e84

Observation b46e4510-1807-4dac-88b0-9623f1430df8 · inbound

Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale cites this paper.

Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale Efficient LLM Scheduling by Learning to Rank

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:55:56.840728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T00:59:57.639525Z digest=sha256:68d7f3dc0e2f4545f5e13c77fd9fa42704d0f2f37fa7c544188a3f79fbe11266

Observation 350e49ef-b6b2-471d-b256-6e98cc0f76a4 · inbound

Online Linear Programming for Multi-Objective Routing in LLM Serving cites this paper.

Online Linear Programming for Multi-Objective Routing in LLM Serving Efficient LLM Scheduling by Learning to Rank

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T22:49:10.064714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T22:49:10.064714Z digest=sha256:3d7b08f670cc01d3896b2f0858d52e90ca2ad4be919d1e86fa7f178eb7a1f487