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Paper Citation Record · LEDGER

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.15234.

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

pith.paper-citation-record.v1
2312.15234 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:56.766216Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:56:40.976559Z

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 6a98f694-96d1-4510-8e9c-4ea55debfff5 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.758995Z

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=2026-05-15T07:21:39.440092Z digest=sha256:d3c3da59f73afdf172deb7371b2feabc09fc31f6b58232d800f196f36f3fd38f

Observation 46f675b4-31b2-43c6-8440-a01ed82e3350 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.662513Z

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=2026-05-15T02:39:33.007894Z digest=sha256:3f7b68b7b83eb2d7b30db67137856794a0ef636606db5efc4de43936564e9cd9

Observation 8a93df01-9df9-49f3-a6fd-8babc8be4a46 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:56.766216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.766216Z digest=sha256:bf56eb565b045484000883db5b620d1a87073f976937af52f15ff5ef465afdc2

Observation 65efe2eb-448e-4419-98a6-54677d2f9358 · inbound

Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model cites this paper.

Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:42:56.409360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:42:56.409360Z digest=sha256:891ceaa82c709a9af79e6b54d9c46273409e59e4b39500432ec5442639dc108d

Observation cdb004f5-4ca8-47d6-bee4-81d164d3922f · inbound

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning cites this paper.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:47:42.022798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:42.022798Z digest=sha256:f5d4640601544887bf5f60f741e1fa0d58679c67bfd9ada14f6b9e6aabe22b01

Observation 076456a4-3372-4a66-ba57-dd2621da37d8 · inbound

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators cites this paper.

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:58:42.993560Z

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=2026-05-16T23:54:08.052482Z digest=sha256:7aa76254c2a72b25511162bbcb3315eba93423c14752ae19bed1ff3912f55a18

Observation 2748bb5a-fc4d-4a3a-a71c-458bb389b015 · inbound

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models cites this paper.

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:14:12.412025Z

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=2026-05-21T14:10:32.706531Z digest=sha256:15daeac108a08a4df1956046ce25aeb46eb2569eff5a975757a6e044fc596285

Observation 513f6cc4-9748-489d-931b-1c2582440dbe · inbound

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents cites this paper.

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:59.470179Z

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=2026-06-28T01:07:14.691347Z digest=sha256:f4ae8263a224f8eabf5889e4ccdd273cb2602e8aaef60670f4af01d70c4bb25d

Observation ccb5aa73-3281-4d97-b438-63cad4299cc8 · inbound

BatchGen: An Architecture for Scalable and Efficient Batch Inference cites this paper.

BatchGen: An Architecture for Scalable and Efficient Batch Inference Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:39:39.560841Z

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=2026-06-26T12:58:25.319255Z digest=sha256:e628886c3ac2393ff7c16139fed5863f03f23be8681dd698eac38123660e5bf5

Observation b1535c11-1425-4769-8eca-0e811aa67576 · inbound

Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization cites this paper.

Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T00:56:40.977777Z

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=2026-07-10T00:55:52.215700Z digest=sha256:85398e74f245fa865e8d386b0fd41e0b423317152379d3e6841bc8c82bcbd87a