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Paper Citation Record · LEDGER

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.00599.

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

pith.paper-citation-record.v1
2509.00599 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:29:59.094399Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e7aced1-87a3-430e-a1a7-299a5f547761 · outbound

This paper cites Fused-layer cnn accelerators,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Fused-layer cnn accelerators,

Reference 1

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ed6ae5f0-a2ee-4898-bb83-f8db69060da0 · outbound

This paper cites Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 06f8c920-60fc-419b-8e69-d4ef7cee3c31 · outbound

This paper cites Language mod- els are few-shot learners,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Language mod- els are few-shot learners,

Reference 3

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Observation 9c037f35-1e82-431e-a273-9a0c686f6b6c · outbound

This paper cites Improved power modeling of ddr sdrams,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Improved power modeling of ddr sdrams,

Reference 4

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raw_fallback, observed 2026-08-05T13:30:03.954875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 642b33c0-b0e3-4f5b-a14f-c9ec6cc2c5b0 · outbound

This paper cites Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 924ca9bd-cdc1-4484-a063-42b355f8bc6d · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:56.001706Z digest=sha256:e13d26515734691873ad0422949fa4b440ef1c7d97cfc395932d691710bc9026

Observation 22b29c2c-1a29-4636-aea3-958f71ac0302 · outbound

This paper cites Tandem processor: Grappling with emerging operators in neural networks,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Tandem processor: Grappling with emerging operators in neural networks,

Reference 7

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d705d28f-5d01-4b60-9db7-507d861c37f5 · outbound

This paper cites Ai and memory wall,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Ai and memory wall,

Reference 8

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:56.297043Z digest=sha256:8346115eddf7bce88a7bf37e0e8ff86e2676faf7c6b7b4f6addb059766992527

Observation 8d0fa966-db04-43c0-96a3-1bc5ca67be88 · outbound

This paper cites Looptree: Enabling exploration of fused-layer dataflow accelerators,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Looptree: Enabling exploration of fused-layer dataflow accelerators,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:56.411808Z digest=sha256:6c87b6f539231ff7934fdf19edc05e5f2621c9bf63c919d110c523473dafeba1

Observation a3c93d47-3600-434f-9c91-afa3527efd6b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.653775Z digest=sha256:a2557adb46627305bca2b3b84492d1d85cb05f7bceb8bd63fa54543c475e7ede

Observation a6b5f3c3-5ff1-4c08-85ef-841ccb705e01 · outbound

This paper cites Data movement is all you need: A case study on optimizing transformers,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Data movement is all you need: A case study on optimizing transformers,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1311381c-b2da-4d8d-ba0e-0b1e4f8311b5 · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives In-datacenter performance analysis of a tensor processing unit,

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d26f5460-dad7-4a22-8e3c-84a7fd15890c · outbound

This paper cites Orion 2.0: A fast and accurate noc power and area model for early-stage design space exploration,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Orion 2.0: A fast and accurate noc power and area model for early-stage design space exploration,

Reference 13

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ea9dc992-a0d2-4297-91b7-dc18220e18a6 · outbound

This paper cites Flat: An optimized dataflow for mitigating attention bottlenecks,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Flat: An optimized dataflow for mitigating attention bottlenecks,

Reference 14

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b73fb3e7-9a8e-436e-b74a-583bd20d0ae9 · outbound

This paper cites Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads

Reference 15

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Observation 250be190-98cb-4066-b14f-2ead6dde0bdb · outbound

This paper cites Full Stack Optimization of Transformer Inference: a Survey.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Full Stack Optimization of Transformer Inference: a Survey

Reference 16

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Observation 7c1ed102-7a02-4612-82b2-a67fc82ad28f · outbound

This paper cites Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Maestro: A data-centric approach to understand reuse, performance, and hardware cost of dnn mappings,

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c5342bf7-4d81-45f8-a7cd-3c742abf9ee3 · outbound

This paper cites Cacti 6.0: A tool to understand large caches,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Cacti 6.0: A tool to understand large caches,

Reference 18

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Observation 7034236d-6343-4358-9ad8-6610e4e9692a · outbound

This paper cites Hcim: Adc-less hy- brid analog-digital compute in memory accelerator for deep learning workloads,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Hcim: Adc-less hy- brid analog-digital compute in memory accelerator for deep learning workloads,

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f94b911-1371-49a6-b0b0-0a8926aa3c13 · outbound

This paper cites Timeloop: A systematic approach to dnn accelerator evaluation,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Timeloop: A systematic approach to dnn accelerator evaluation,

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7cc8fde5-8904-4ceb-9f80-3473582ff276 · outbound

This paper cites Optimiz- ing distributed ml communication with fused computation-collective operations,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Optimiz- ing distributed ml communication with fused computation-collective operations,

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 54f7cec3-2954-44be-a5e4-8603a6d0bdc6 · outbound

This paper cites Language models are unsupervised multitask learners,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Language models are unsupervised multitask learners,

Reference 22

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source=pdf_text observed=2026-08-05T13:29:57.850506Z digest=sha256:8f8b93d9a7ff66286e33d28b85eaecd36cf0fecaec8c2e2a61ce0ee1be156fc2

Observation f1db7664-6604-428c-8e7f-6a5131826ef9 · outbound

This paper cites SCALE-Sim: Systolic CNN Accelerator Simulator.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives SCALE-Sim: Systolic CNN Accelerator Simulator

Reference 23

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source=pdf_text observed=2026-08-05T13:29:58.004416Z digest=sha256:e8b5c5e6fa02603bf45b7bd87bc842f63eea1cded9cd835036d1c3cba046b61f

Observation 9ca3af68-05ae-4420-aae8-a03138984c6f · outbound

This paper cites Benchmarking in-memory computing architectures,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Benchmarking in-memory computing architectures,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:58.118326Z digest=sha256:e3e2a5aecaa40959c51f394e8d7f1d880a6292b9bbc7ffb1c2b532c460245b27

Observation 98396038-656f-46b0-8f20-68b02de129ac · outbound

This paper cites Scaling equations for the accurate prediction of cmos device performance from 180 nm to 7 nm,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Scaling equations for the accurate prediction of cmos device performance from 180 nm to 7 nm,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4f02928-1457-44a9-92f4-00f2b21a5dcd · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives LLaMA: Open and Efficient Foundation Language Models

Reference 26

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:29:58.355528Z digest=sha256:8aca033f7c6a763a4c20d9e8052fe4497481669cf1b60b6cd3cc1cbefefdf0ff

Observation 6ff5ab84-9637-4b5d-ba54-3f0bd16a9789 · outbound

This paper cites Attention is all you need,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Attention is all you need,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.466140Z digest=sha256:16585fd1cf21413362b2bc533c4cce386292df5e7c3f5bc26b4efe05400dfaae

Observation f3a39cb1-36c3-482d-b683-752ae37307df · outbound

This paper cites How to keep pushing ml accelerator performance? know your rooflines!.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives How to keep pushing ml accelerator performance? know your rooflines!

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 22dd486f-4356-4979-a1e5-97439c4e05d7 · outbound

This paper cites Hisim: Analytical performance modeling and design space exploration of 2.5 d/3d integration for ai computing,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Hisim: Analytical performance modeling and design space exploration of 2.5 d/3d integration for ai computing,

Reference 29

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:58.739309Z digest=sha256:002f591a721459dd5e7aefa47038a254147fb0a5d178f9ca8addf7e75ccfae23

Observation cd4817c2-fd65-4f27-b57b-744cb8d2d6c0 · outbound

This paper cites Tacos: Topology-aware collective algorithm synthesizer for distributed machine learning,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Tacos: Topology-aware collective algorithm synthesizer for distributed machine learning,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:58.850950Z digest=sha256:7334b9bba8a57f63a3f7c0935b42b531cb35871bf885cfaea4be6d038ce66890

Observation ea89b5e7-52f9-4c61-9327-9430024f6d26 · outbound

This paper cites Towards a standardized representation for deep learning collective algorithms,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Towards a standardized representation for deep learning collective algorithms,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T13:29:58.972781Z digest=sha256:02ecb4e8aa56ddbe9f35d0cfa0a015a09b1c9f38e917d37d214465b6b6bc36b2

Observation 6fdee104-83ee-49ef-99c2-8496f7396247 · outbound

This paper cites Tileflow: A framework for modeling fusion dataflow via tree-based analysis,.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Tileflow: A framework for modeling fusion dataflow via tree-based analysis,

Reference 32

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raw_fallback, observed 2026-08-05T13:29:59.367878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.