Pith. sign in

Paper Citation Record · LEDGER

MLPerf Inference Benchmark

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1911.02549.

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

pith.paper-citation-record.v1
1911.02549 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:43:12.619309Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T16:31:16.052917Z

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 6e14bd09-7ac0-463e-b7c0-1a34b73506b0 · inbound

Exploiting Parallelism Opportunities with Deep Learning Frameworks cites this paper.

Exploiting Parallelism Opportunities with Deep Learning Frameworks MLPerf Inference Benchmark

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:38:23.957438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:38:23.957438Z digest=sha256:1a33046739ed9a8f62edea17818d1308f995c3814e198068760eb38012b4933d

Observation 4705492e-eb3f-4a45-8a1e-2b25f574e277 · inbound

Introducing Milabench: Benchmarking Accelerators for AI cites this paper.

Introducing Milabench: Benchmarking Accelerators for AI MLPerf Inference Benchmark

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T18:16:08.378715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:16:08.378715Z digest=sha256:987996c6b1ee45fc8f6517878ba4b61f3f50e6f6677bbbc59b5374b315944420

Observation 5a7ecb58-29d4-43dc-ad2d-94d48f1626f2 · inbound

GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition cites this paper.

GainSight: A Unified Framework for Data Lifetime Profiling and Heterogeneous Memory Composition MLPerf Inference Benchmark

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:43:12.619309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:43:12.619309Z digest=sha256:72f55a857b8d29094e4b46b07e932ce3537448ac0adec8dd4229ea22c1bb5878

Observation dd74bd99-1eb1-4d36-9e49-75f11600f96b · inbound

LithOS: An Operating System for Efficient Machine Learning on GPUs cites this paper.

LithOS: An Operating System for Efficient Machine Learning on GPUs MLPerf Inference Benchmark

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:33:44.867464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:33:44.867464Z digest=sha256:fa58404edad3707d22d7daeb3001f97e4a0abeeb3a65b632b620bb3462055e9f

Observation c07b4abd-3277-49be-bc82-6afcba1b8c4e · inbound

Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems cites this paper.

Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems MLPerf Inference Benchmark

Reference 150

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:33.387293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:33.387293Z digest=sha256:34e8d9b0187ac3781418c03b78b243fd0e743b075632db25e442e45207a55a3f

Observation 39799073-2faa-4b52-bbad-f9840b78bf8b · inbound

SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model cites this paper.

SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model MLPerf Inference Benchmark

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:03.538707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:03.538707Z digest=sha256:de0b127e85521c3cbd850a8af4d06dc567321730a06422d1c4b734c265fcd17a

Observation ba07bf13-a314-4d7f-9994-65bb45681de4 · inbound

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs cites this paper.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs MLPerf Inference Benchmark

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T22:28:49.552675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:28:49.552675Z digest=sha256:bceefc2cdffc0b7ee8943124ef02156ab2946c4a60454c2569b086db02bb54cd

Observation f4391312-38ab-475f-8437-58280536a2c7 · inbound

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network cites this paper.

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network MLPerf Inference Benchmark

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:58:36.982905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T01:54:00.951348Z digest=sha256:2f48c61fafc7edfa4e7329de7c74951b980faf15cc290f70c8673d1248a62dc3

Observation 26513561-fd10-48cc-a08a-99e86b15f25b · 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 MLPerf Inference Benchmark

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:36:03.456296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:33:59.777818Z digest=sha256:3d3c8e8308668c6b020767965529758d26332d5e46988005b7f83e06df5e9c80

Observation b8944de7-ab26-40d1-a010-c427d4135387 · inbound

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

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation MLPerf Inference Benchmark

Reference 18

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:32:59.467653Z digest=sha256:6a7990f2cbdc4bade72aa338e8e71037886d30eb90ed167ee245ff8011110e51

Observation 8a20b565-405f-4281-b1b3-12ddacf47414 · inbound

The xPU-athalon: Quantifying the Competition of AI Acceleration cites this paper.

The xPU-athalon: Quantifying the Competition of AI Acceleration MLPerf Inference Benchmark

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:21:00.805141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:01:31.205772Z digest=sha256:f473d682e49dd05441f74fcc26f24663adc390b9d1f77058e85a327c1adaad04

Observation b881639b-4c93-4637-aea0-5d7bd1755dd1 · inbound

SLO-Guard: Crash-Aware, Budget-Consistent Autotuning for SLO-Constrained LLM Serving cites this paper.

SLO-Guard: Crash-Aware, Budget-Consistent Autotuning for SLO-Constrained LLM Serving MLPerf Inference Benchmark

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:01:13.192811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:00:56.395337Z digest=sha256:dba0b97b2ec94e5762f3a95889865f55b6926bca974f91c510abc18a51288565

Observation 9599b780-5c39-4edf-8777-d4f6d4c08c0c · inbound

Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining cites this paper.

Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining MLPerf Inference Benchmark

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T16:31:16.057056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-05T16:30:14.396392Z digest=sha256:f348495e960b6c8e5f426bbd48d53419279463816e45b95a76d16500d1c0e95d

Observation ab54021f-8678-4c62-beaa-a378cb8c62ac · inbound

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference cites this paper.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference MLPerf Inference Benchmark

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:41:15.312414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-09T15:23:21.456692Z digest=sha256:c627a0aa1414e982c51c2685a5c7a10272a113da635e0c7bb3be959c79a1a277

Observation c2dae81a-4a9b-4c3e-9153-77cffe9dfdc8 · inbound

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

Edge-Inference Governors Need Memory-Clock State MLPerf Inference Benchmark

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T18:38:49.027875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T02:44:49.539266Z digest=sha256:b60fb06187e9fc8dba7525d52682b44c833cf18d6b39eae8ad02e3aaaf144572

Observation 66a05b6b-d960-4bc0-8cd1-bd4247b7f6e1 · inbound

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

Edge-Inference Governors Need Memory-Clock State MLPerf Inference Benchmark

Reference 23

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T13:55:19.148570Z digest=sha256:acf0e11b4d461a55f49bb595d26570ab49ecbeff0fda316a1a617d033680c58e

Observation af0e2669-95b4-46c8-a02a-14035c2a99c3 · inbound

FAIR+S: A validation study of a framework for sustainable research data and software cites this paper.

FAIR+S: A validation study of a framework for sustainable research data and software MLPerf Inference Benchmark

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:55:31.927264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T07:42:30.095513Z digest=sha256:9d85f694e0d7f23d7c6ef646b2495856910602cd7bc9c079322efbc20a195ee9

Observation 163caf90-102c-4c15-8fef-fdaf9fcbe07e · inbound

MatCreatioNN: Machine learning-guided computational discovery of photocatalysts for environmental applications cites this paper.

MatCreatioNN: Machine learning-guided computational discovery of photocatalysts for environmental applications MLPerf Inference Benchmark

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T10:10:02.560722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:10:02.560722Z digest=sha256:671561c4441e750a04378bd2cd59a9134bc2f26086e6f6bfa1b8100325e15d1d