Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:04.314781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:55.309328Z digest=sha256:7bd62d61a563d8d330e6946bf1e2d8f0f8ea91c12e6dddd01db67fd6871d762c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:04.134270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:55.414357Z digest=sha256:eaf058cfe00154f4edfe3ce64cfce2935a7273c7cf71e1c42469718ac79c9352

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:55.557323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:55.557323Z digest=sha256:b3bb09c21b4a1c044ec69a3f66f2e55deda31ecfc8a6011d7016da906191646d

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:55.739886Z digest=sha256:816c67355f5dd9c0f5904e156c47fe32dcf412005d36cf3804eab9702ef3d083

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:03.763915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:55.914236Z digest=sha256:715f20b8f9a780ba52f9f1897b8b72fab063012275f38592a92df74066858955

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:03.597195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.001706Z digest=sha256:cc94d31b2f3730f50482717ca101a04722be589c7aa036893e2afc59c88fa14d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:03.367422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.156936Z digest=sha256:759dce0767dce90af0ed6fe03061c01894b0bad99eabb295e4dc5c4bcc402627

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:03.178361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.297043Z digest=sha256:2ff933a33458b51d443e1302ac753ab7b181033fcd838d0ccd0e84e788c04dd8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:02.987164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.411808Z digest=sha256:3c4a4f27693c5cd4c4102f1d63cc0a859574260cd4c2befda3032680e97db61f

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:56.653775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:56.653775Z digest=sha256:a8211959e9ea920b5454ef54a45d80b1e31560da6814bd3f405b14bf237893e3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:02.782430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.767620Z digest=sha256:70ea2de23b14723afd4d5672592e39754ec428ee563be6cc00783a68e346d244

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:02.588366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.866219Z digest=sha256:0abf1d002c7aa1bcdefa856c4180cccfe51577fb8e44bd16bd6c86981d1a2d39

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:02.388131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:56.954201Z digest=sha256:1a44a79efaa543e0f95905e19146369c4e4a84763eb046fbe8418368d06ac451

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:02.117022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.033088Z digest=sha256:6ed705fa2461a123ad3d87817ed9ce0d3e545c93ae34b8dde8e394bd4bfd681d

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.136914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.136914Z digest=sha256:28c2f0ef3553ab3b2f9f2402195aa513600ae2c93862a3b5432fa3786abdaf80

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.252635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.252635Z digest=sha256:d4d346ea4ac47911f3c4317277f2e5540a2c0a58961ebf667ab875c19841b7bc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:01.905794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.354423Z digest=sha256:f587243f51299df680bf0e791a7996e5d5ca550281a4cf143d847f5db407a9ad

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:01.641486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.425767Z digest=sha256:9dbff776e1b1cba147beec189811e599f72cadd35d691557df1b4f2b2d1fe1ff

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:01.378611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.511002Z digest=sha256:df5a6e5b12333a09266d1763a000ccaeff8f1faf44e6ab1b3d3fb5dbeaac5328

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:01.205847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.588840Z digest=sha256:2316fe8060f1ddb67b57090eb76d2e6e864b520cc6e470a092d72fc037b4b422

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:01.001723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:57.697508Z digest=sha256:f5038ab5df00a2651b6d9490b86e482cf64aed1a3f0b02351972650af1b5fe09

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.850506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.850506Z digest=sha256:cfaf6a2d996907c1ed8be2c661159f951c0df8a3a4f0e3a914b5431f7d32eb3f

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.004416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.004416Z digest=sha256:4cd734a4e1faf60451b28bc3088e3bbb63d1b2ea3742c965969faec9dda6995d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:00.772113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.118326Z digest=sha256:acdec07487df107270f81f973dfa86f6aed7a7ef139b182e22529db1223f61e1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:00.487145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.250263Z digest=sha256:e0ccee0fcba435e95b09d80a861317e777b694fedfffd181892a8f53c7070fe3

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.355528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.355528Z digest=sha256:4894526e2f9cae14fdceda104a438cf8d7fe896d21a0d762a7fd74c284c22cfc

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

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:58.466140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:58.466140Z digest=sha256:753364d3322a80e787bde756ab9b17e83d4ea3d8c1db5b63e5307e45e8317883

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:00.291242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.619190Z digest=sha256:a4332d91621c860a5791ca253c87e2ceed8b1f943d8df4696a44782cdc1e9bbb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:30:00.063100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.739309Z digest=sha256:757fb4ef6c8b326bbec6bcccf632a516df7c098396539c0d330ae59e0592e922

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:29:59.811077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.850950Z digest=sha256:7130477bf3019f6030ba2fc688f781ab0ea57972a663c07980243337c4d5f8cb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:29:59.559964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:58.972781Z digest=sha256:26078305585fc74773bb2e86236cf059656c677f3a85a7a42cf8ea76b6112883

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:29:59.094399Z digest=sha256:9008c6bc18e382d51d9eaab224228faac7fa962f70f7b4f4025ba0f988d84c68

Pith citing papers

No inbound Pith citation observations are available.