Paper Citation Record · LEDGER

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2509.05584.

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

pith.paper-citation-record.v1
2509.05584 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:54.025589Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:00:53.982864Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T12:00:59.104955Z

Reference resolution

61 of 61 outbound references displayed

verified exact4
verified fuzzy28
unresolved27
parse uncertain2
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b58b5af2-f0a1-4e21-83da-a323cb8d0354 · outbound

This paper cites Model compression for deep neural networks: A survey.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Model compression for deep neural networks: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.462653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4584d7f-40cb-4549-bb76-6b0d3048f0c8 · outbound

This paper cites Deep learning model compression techniques: advances, opportunities, and perspective.Tanzania Journal of Engineering and Technology, 42(2):65–83, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Deep learning model compression techniques: advances, opportunities, and perspective.Tanzania Journal of Engineering and Technology, 42(2):65–83, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.437581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 269afe1d-98ce-4439-912a-9aa342a7cb78 · outbound

This paper cites Pruning vs quantization: Which is better?Advances in neural information processing systems, 36:62414–62427, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Pruning vs quantization: Which is better?Advances in neural information processing systems, 36:62414–62427, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.413558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3b5b5aa-83e0-49dd-a97a-0862f73751eb · outbound

This paper cites Training with Quantization Noise for Extreme Model Compression.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Training with Quantization Noise for Extreme Model Compression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.613629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b466a57-8b93-4dbd-bc10-7ac3ce16a877 · outbound

This paper cites A survey of quantization methods for efficient neural network inference.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization A survey of quantization methods for efficient neural network inference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.625571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f3230f-c927-4644-944a-09076d27e622 · outbound

This paper cites Challenges and advances in parallel sparse matrix-matrix multiplication.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Challenges and advances in parallel sparse matrix-matrix multiplication

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.373462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65c59c4f-a5a8-4d9b-95ea-b896d9da3e03 · outbound

This paper cites The state of sparsity in deep neural networks.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization The state of sparsity in deep neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.352824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e4d7320-4b6c-43c4-af1b-ec68f807a895 · outbound

This paper cites Post-training quantization or quantization-aware train- ing? that is the question.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Post-training quantization or quantization-aware train- ing? that is the question

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.330325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74b72aaa-21f4-4696-9d6a-35d22eac30fe · outbound

This paper cites Pytorch profiler.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Pytorch profiler

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.306329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0400721-487e-4d49-9c14-e1a9f6fec67a · outbound

This paper cites Tensorflow profiler guide.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Tensorflow profiler guide

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.272307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b7f6b90-d097-4b82-b510-699c3dba5ee5 · outbound

This paper cites CUDA Profiler User’s Guide.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization CUDA Profiler User’s Guide

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.247035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55fb058a-151b-41e7-8f26-2e7b74e0c3b7 · outbound

This paper cites Comparative Analysis of CPU and GPU Profiling for Deep Learning Models.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Comparative Analysis of CPU and GPU Profiling for Deep Learning Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:26:54.460030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a1ef87b-f407-4e38-8f90-0b5b028de264 · outbound

This paper cites Profiling and optimizing deep neural networks with dlprof and pyprof.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Profiling and optimizing deep neural networks with dlprof and pyprof

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.223871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bec338ea-4002-4a7c-92bd-6246c417443a · outbound

This paper cites Ai agents and agentic systems: A multi-expert analysis.Journal of Computer Information Systems, pages 1–29, 2025.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Ai agents and agentic systems: A multi-expert analysis.Journal of Computer Information Systems, pages 1–29, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.713493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95627df0-2f82-474e-b3cd-7df306c15c70 · outbound

This paper cites A Generalist Agent.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization A Generalist Agent

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.721129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56aec3fb-903b-4360-8e64-58203b01b672 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization React: Synergizing reasoning and acting in language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.728666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a8f4e9-73e8-4e0d-9ef7-4d1092817dc1 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Chain-of-thought prompting elicits reasoning in large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.736555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1280a1-a6ba-4057-b017-385fb6f8b4a3 · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.Advances in Neural Information Processing Systems, 35:15476–15488, 2022.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Star: Bootstrapping reasoning with reasoning.Advances in Neural Information Processing Systems, 35:15476–15488, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.744830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebcbcbf3-8877-445c-ab2e-5d112bb875d6 · outbound

This paper cites A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.108792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7678569e-1ba3-4bfb-a362-783b08a4b683 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.764052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e0e8aa-fd96-463d-9dbc-ae15b5f29fd5 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.Advances in neural information processing systems, 36:21702–21720, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Llm-pruner: On the structural pruning of large language models.Advances in neural information processing systems, 36:21702–21720, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.770023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e43800c-9d34-4e1a-9146-3019c3133bfe · outbound

This paper cites SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.777458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1c3f22-aede-4441-b959-6ad739b80525 · outbound

This paper cites Pruning filters for efficient convnets.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Pruning filters for efficient convnets

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.067504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87fd0645-baae-4ce5-9ab9-d1f17688e50e · outbound

This paper cites Filter pruning via geometric median for deep convolutional neural networks acceleration.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Filter pruning via geometric median for deep convolutional neural networks acceleration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:55.042896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8cd52c2-e42f-425a-bbb9-5917c1f5a77b · outbound

This paper cites Up or down? adaptive rounding for post-training quantization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Up or down? adaptive rounding for post-training quantization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.798139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187a15e0-d915-45bc-b23a-850e84f13c2b · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.804650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63eb9a71-3a97-4fa9-89c3-7d279974936f · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.810865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb42eab9-0b41-4350-9991-e32225b1a59b · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.816826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1d398c-8b04-4da6-b21d-7bd6129aaea6 · outbound

This paper cites Lsq+: Improving low-bit quantization through learnable offsets and better initialization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Lsq+: Improving low-bit quantization through learnable offsets and better initialization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.999216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df5ca9e6-04b3-4550-8aa6-8e82cd868d9f · outbound

This paper cites Learning to quantize deep networks by optimizing quantization intervals with task loss.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Learning to quantize deep networks by optimizing quantization intervals with task loss

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.975694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 348c33c4-a20e-4b31-83a6-7b258dba99a9 · outbound

This paper cites Learned Step Size Quantization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Learned Step Size Quantization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.841583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1c5b01-8376-46ae-aa01-008921e34178 · outbound

This paper cites Nipq: Noise proxy-based integrated pseudo-quantization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Nipq: Noise proxy-based integrated pseudo-quantization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.945148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a15b5a5-880f-4b16-a93f-50c89e18c808 · outbound

This paper cites Dynamic dual trainable bounds for ultra-low precision super-resolution networks.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Dynamic dual trainable bounds for ultra-low precision super-resolution networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.924469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1754af8-232e-4d17-bff5-608ef55d1e52 · outbound

This paper cites Insta-bnn: Binary neu- ral network with instance-aware threshold.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Insta-bnn: Binary neu- ral network with instance-aware threshold

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.902018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce1fc87a-2733-4bd1-8e7e-82be9dd79934 · outbound

This paper cites Temporal dynamic quantization for diffusion models.Advances in neural information processing systems, 36:48686–48698, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Temporal dynamic quantization for diffusion models.Advances in neural information processing systems, 36:48686–48698, 2023

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.867764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation facae2dd-3c3b-46ca-8294-da9227275176 · outbound

This paper cites MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:26:54.252525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 636b1b29-84c2-4b1c-b55b-038f2b44367a · outbound

This paper cites Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.880515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e85dd8e-b4f2-4e0f-9071-3d7d9b69851c · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.887971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a0daf1-8e28-4d2b-a4ca-5a05e5cbdc35 · outbound

This paper cites Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks.Advances in Neural Information Processing Systems, 36:23813–23825, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks.Advances in Neural Information Processing Systems, 36:23813–23825, 2023

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.894024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73394ce1-1ab5-410c-a634-c055fffb85bc · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Generative agents: Interactive simulacra of human behavior

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.899197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0885ca-eb22-4316-822e-3bf81250cc50 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539– 68551, 2023.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539– 68551, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.904513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb57303-a291-4d6b-9466-0c23e790f426 · outbound

This paper cites Cuda profiling tools interface (cupti) documentation.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Cuda profiling tools interface (cupti) documentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.808693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e57164be-153e-4412-a247-3937e467cdd6 · outbound

This paper cites dpro: A generic performance diagnosis and optimization toolkit for expediting distributed dnn training.Proceedings of Machine Learning and Systems, 4:623–637, 2022.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization dpro: A generic performance diagnosis and optimization toolkit for expediting distributed dnn training.Proceedings of Machine Learning and Systems, 4:623–637, 2022

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.786410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16ca28e2-0785-448a-aa86-bef3bbb7279c · outbound

This paper cites Transformers documentation: Main model classes.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Transformers documentation: Main model classes

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.759455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1acec49a-a1a9-496e-ad4c-afb5ceec26d1 · outbound

This paper cites ptflops: a flops counting tool for neural networks in pytorch framework, 2018-2024.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization ptflops: a flops counting tool for neural networks in pytorch framework, 2018-2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.936685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9656301-06b1-4746-b808-65d7639e6e93 · outbound

This paper cites Hugging face: Revolutionizing ai and nlp.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Hugging face: Revolutionizing ai and nlp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.717065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e01a90c-2511-497c-84ff-28cd55093311 · outbound

This paper cites Imagenette: A smaller subset of 10 easily classified classes from imagenet, March 2019.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Imagenette: A smaller subset of 10 easily classified classes from imagenet, March 2019

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.948764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18c12d1-a693-4861-8625-103ed40d0bea · outbound

This paper cites Learning multiple layers of features from tiny images.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Learning multiple layers of features from tiny images

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.954122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adee73f-3a91-43af-9f43-16347e8cf730 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.2009 IEEE Conference on Computer Vision and Pattern Recognition, pages 248–255, 2009.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Imagenet: A large- scale hierarchical image database.2009 IEEE Conference on Computer Vision and Pattern Recognition, pages 248–255, 2009

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.659420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a88a296-d15d-4b44-b423-b7472f4b4aa5 · outbound

This paper cites Deep residual learning for image recognition.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Deep residual learning for image recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:53.968704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a92dec4-381e-40d7-b238-57c49c6044d4 · outbound

This paper cites Prediction of covid-19 disease with resnet- 101 deep learning architecture using computerized tomography images.Türk Do˘ ga ve Fen Dergisi, 11(2):36–42, 2022.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Prediction of covid-19 disease with resnet- 101 deep learning architecture using computerized tomography images.Türk Do˘ ga ve Fen Dergisi, 11(2):36–42, 2022

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.616473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45e2fc48-fcb1-4dac-b3a9-02061740cc30 · outbound

This paper cites Brain tumor classification using resnet-101 based squeeze and excitation deep neural network.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Brain tumor classification using resnet-101 based squeeze and excitation deep neural network

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.594396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2c6eeff-36f8-4565-be52-42771b5956c4 · outbound

This paper cites Deep learning approaches to automatic chronic venous disease classification.Mathematics, 10(19):3571, 2022.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Deep learning approaches to automatic chronic venous disease classification.Mathematics, 10(19):3571, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.571841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfd4fac5-284a-4f0f-9a16-617055ed32fb · outbound

This paper cites COVID-19 detection using ViT transformer-based approach from Computed Tomography Images.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization COVID-19 detection using ViT transformer-based approach from Computed Tomography Images

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:26:54.166691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4404e973-118c-4182-97c1-f3516908fc06 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Swin transformer: Hierarchical vision transformer using shifted windows

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:54.001633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd98bd84-5fe0-4c42-8222-ed361d19dee4 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Training data-efficient image transformers & distillation through attention

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.531195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4dfcd602-5686-4cc8-97de-178968c43701 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Pruning Filters for Efficient ConvNets

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:54.013987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee58b8c-6e09-4663-85a2-b1ac722dade2 · outbound

This paper cites Implicit Filter Sparsification In Convolutional Neural Networks.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Implicit Filter Sparsification In Convolutional Neural Networks

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:26:54.101528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f96bd8b-3f96-4340-8c16-b586eb0e0a66 · outbound

This paper cites Onnx runtime: Quantization.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Onnx runtime: Quantization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:26:54.503708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation afe3269b-d528-4ad2-ba0e-eafa4b0dceb6 · outbound

This paper cites an unresolved cited work.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Unresolved cited work

Reference 2020

Resolution: parse uncertain; no resolver link, observed 2026-08-15T16:26:53.707352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5317e9-a149-4afe-82db-6f18a64f9456 · outbound

This paper cites an unresolved cited work.

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-15T16:26:53.674729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1f8e85fa-1fe2-4018-bfda-0ce553d0ceea · inbound

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization cites this paper.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T12:13:03.521150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb90c842-a650-43c5-8670-334baff7bfb4 · inbound

APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning cites this paper.

APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-08T12:00:59.109993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.