Paper Citation Record · LEDGER

Full Stack Optimization of Transformer Inference: a Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2302.14017.

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

pith.paper-citation-record.v1
2302.14017 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:16:06.492108Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:38:49.031648Z

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 de6ce19a-7c98-411b-843c-8cf7c0e94d6d · inbound

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs cites this paper.

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs Full Stack Optimization of Transformer Inference: a Survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:37:28.960085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8cb40e57-c913-4f11-b89c-d47ac3da4d64 · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models Full Stack Optimization of Transformer Inference: a Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:06.492108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c75d491-37a0-43e5-a01f-73441826f58a · inbound

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures cites this paper.

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures Full Stack Optimization of Transformer Inference: a Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:36:03.486747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af522d9d-bae7-4c65-94db-fd8fefdb935a · inbound

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation cites this paper.

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation Full Stack Optimization of Transformer Inference: a Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T23:32:59.467653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e3db36-ea6b-4493-bfe9-30bd271a7079 · inbound

EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models cites this paper.

EdgeCIM: A Hardware-Software Co-Design for CIM-Based Acceleration of Small Language Models Full Stack Optimization of Transformer Inference: a Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:01.588643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 431c1525-8904-44cc-9e97-8d137d5a0425 · inbound

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration cites this paper.

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration Full Stack Optimization of Transformer Inference: a Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:57:15.117402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9e9887d7-95d9-4a33-a239-09e47bd96931 · inbound

Edge-Inference Governors Need Memory-Clock State cites this paper.

Edge-Inference Governors Need Memory-Clock State Full Stack Optimization of Transformer Inference: a Survey

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:38:49.033705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5fd2401b-6fbc-46ee-b85b-96ae1df2ebdc · inbound

Edge-Inference Governors Need Memory-Clock State cites this paper.

Edge-Inference Governors Need Memory-Clock State Full Stack Optimization of Transformer Inference: a Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:19.148570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.