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Paper Citation Record · LEDGER

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2501.08071.

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

pith.paper-citation-record.v1
2501.08071 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:38.905641Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved47
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fa46678-68de-4cf1-816a-d3a0b4876430 · outbound

This paper cites Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis

Reference 1

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no resolver link, observed 2026-08-10T20:33:37.547647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.547647Z digest=sha256:a7d43e7fa1754a888112ce4389bcdca086b0c96acb11e9e366608a1c8de0e1e0

Observation 86ce82ea-d4d4-4bf3-bf2e-495a11b0d6bd · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-10T20:33:42.136958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.561073Z digest=sha256:37cc3a1e04a965282d2af2775fbd03eb506892d1f3ca10efa4dad4098d8f01c7

Observation 618a3404-62ad-4d53-b301-8bcb8a6eb7f9 · outbound

This paper cites OpenAI Gym.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning OpenAI Gym

Reference 3

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no resolver link, observed 2026-08-10T20:33:37.579902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.579902Z digest=sha256:4b9bcc6c3aec622abc09fcbfa51419bc1eabbc383642ee2f5dd031f36b6c3b56

Observation d6b24588-fdde-4c87-b95f-e5df2f057f8d · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-10T20:33:42.043846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.587149Z digest=sha256:4d12684b9e9224cb1c982a28c6a085153fbdf005955e73c77215ea0eb15776b6

Observation c4e7f88d-ce02-473e-8e62-8d47696b7627 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-10T20:33:41.999297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.594088Z digest=sha256:16c52e97258c9244fd20e484740c202fe8aa60473536cfabbcbf4b7907941760

Observation c082c90b-ddc2-4d0e-b518-19690f72d207 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-10T20:33:37.601713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.601713Z digest=sha256:a448241c94c9df01decd595fbe97f003cc970c1d928ca3ae54c9ee9fec93a471

Observation fff63ea3-88ba-4973-afd6-b5e40e12b068 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-10T20:33:41.952873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.608699Z digest=sha256:e6ba4ff3057f5f4e7ca17d274750d494b854fad16a482332cd7b337f2e740314

Observation 1ecc0ea0-2b7c-4c6c-9e3c-c1b34cdc2154 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 8

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malformed identifier
no resolver link, observed 2026-08-10T20:33:37.720298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.720298Z digest=sha256:38aad509230897098a60e1a2ffc1394bc197e70f0bb8c485a558ba19d3999312

Observation 00ac7f1b-10d1-4eef-a18a-b5e514fd3551 · outbound

This paper cites X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.804150Z digest=sha256:d1eeba0b6e5ece23490b82e5b6d68b119fa921e72b0ae77605eea37daa6ec762

Observation 8dfff7a0-5dbc-4bf1-b719-1e758ff209b2 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-10T20:33:37.896910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:37.896910Z digest=sha256:8ddb96d08b13f94bd7a7a550ca28bf31f5720aafd3c5633f53aeb4395eae544e

Observation 5207d532-62f1-4901-95b0-9349e6c739c7 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.908469Z digest=sha256:e2f5503d1311a2dea0b2e9a0da7227e78bb79b310e4283bec92ca0dd8914f865

Observation 8d62de15-c102-4b4d-8ec4-c53bf2b7ab87 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-10T20:33:41.671205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.918531Z digest=sha256:2e733d0f17bb63047bb5acf8dd99dffb529c1845f39df5bff9aaba1c81323af7

Observation 57818c6d-ad53-4e86-b4f6-3ae6bdbaff43 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-10T20:33:41.612534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.924984Z digest=sha256:4e7099b2bed307ae8eab3831829c93180b47cc54b71dd794fac30431b7329e4a

Observation 24aaa4d1-fd66-4523-aa0a-a44e140e92b8 · outbound

This paper cites Scarpazza.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Scarpazza

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T20:33:41.557048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.055609Z digest=sha256:88305383d178594e37c95e0ced3591a224803148ddf90495286f6a76a61a3b01

Observation 22023de3-68c5-4786-b810-796d5687f344 · outbound

This paper cites Mixtral of Experts.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Mixtral of Experts

Reference 15

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no resolver link, observed 2026-08-10T20:33:38.195609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.195609Z digest=sha256:0413e47b0dd7b4e11da3e5178bc6241bcbb537c6681de8f72cf765dc978772f0

Observation f6a974b1-7eeb-4929-a105-e885e12340d1 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-10T20:33:41.469665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.209891Z digest=sha256:8d3034f7d4c3556a798e9f2dcc53e72262eb7d8d9e4b81431daf1321e67b8995

Observation 7a2769ee-8910-4b80-aabb-13c2b43b50fb · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-10T20:33:41.328401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.218004Z digest=sha256:74f4d947a68072c26462f8e04bca3b02eeb4a2a9d0b2bf6ddd249c90b24f3926

Observation e6a5579a-3e6c-493e-96fe-a94cd5db2360 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T20:33:41.289137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.225889Z digest=sha256:7a5663548f7a3b3a2397b5024bd48d84954d353de2f0442c96177cb95adf2c6d

Observation f3bff715-eea1-4c9d-96ee-8d4d78c6b0fa · outbound

This paper cites Rusu, Joel Veness, Marc G.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Rusu, Joel Veness, Marc G

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.235106Z digest=sha256:55a837e5c299e66c42e6a6c89602a40301dfc2595e76707807e459bd7d1769c1

Observation cd4d7605-663d-4936-a5dd-023c6479b7e5 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-10T20:33:41.109565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.242615Z digest=sha256:661af5d303fb2b538b44e08ee74e2f37b12b8a1ab08f63ea2f6f5a59123c1957

Observation aefb190b-ebb5-420a-85b8-1fa32ed24042 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b05f4c57-1d67-4064-9c4d-caed05bb3e61 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.386194Z digest=sha256:c94e3742a0bed41ca3c7c560c796df815d37e4def74d842be620802b051bb7a8

Observation cfb57b71-0134-46a2-93d6-d608741b8426 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.450680Z digest=sha256:f5681a24d302b81bbc42b50c5777f923d222836c34a6fc9cb8b9a30b66dbdd3c

Observation f5e050cf-d233-4177-8b81-a7d1f48fe528 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.466647Z digest=sha256:114ba54c24be29bc3aa580001eb83f4a3728a5f544d5ddad829844aae7acfae6

Observation d785a911-d017-48d5-ba24-6a4a6db17ef6 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.477987Z digest=sha256:160bc98e4674d580dcc8a16afaedfa620c4e775b3c66b44c09a947e635639473

Observation 55fdfb8e-6309-4cdf-85ae-2a965a58c2ba · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.515454Z digest=sha256:186dda225fa61519eb11d0ee21a4449c56437ec2cc1c46367771dc56793c7686

Observation 6d44e5c5-5d80-4ec9-b67a-c3c8fd33a514 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a363cf54-a8a3-42d1-89df-b77bb5ee2cb1 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-10T20:33:40.378990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 78ddf36f-6d61-4490-a418-389512a301a2 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.589891Z digest=sha256:8dd1d8563102354f2909d44bb56fcf14a1e846273951e3aea6ed1f1df15bdef9

Observation 31428706-d26b-4df8-b312-0f3da424f55e · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T20:33:40.255574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ddf5ad1d-9f7d-4bfa-8447-46520ff99a67 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-10T20:33:40.176332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5a57ee7a-8017-437e-8cc3-e35aad3b54f5 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Solving Rubik's Cube with a Robot Hand

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.610101Z digest=sha256:565f4cda334f9f00a6f793071a0bb409c6cba821ec4e298d94f09ada8dcbe12a

Observation ce3aa3db-abdd-4ce8-913e-1988d39923e0 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-10T20:33:40.122414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.681945Z digest=sha256:9d658b53470af99b94bcf050eab9adb1492cafc08f7438c1cf5bec356ed4f9f1

Observation d264ee2b-1981-4d76-bfb1-acd3a780a5cd · outbound

This paper cites Rodrigues, Sam S.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Rodrigues, Sam S

Reference 34

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verified exact
doi, observed 2026-08-10T20:33:39.019683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:38.735124Z digest=sha256:90b1870041a3d8224b63508c99902381e6a4ba9b253ee0f1bfb0d9cbd6f77d05

Observation f96a546e-ad82-4563-8c0b-d2ded499f265 · outbound

This paper cites Proximal Policy Optimization Algorithms.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 35

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no resolver link, observed 2026-08-10T20:33:38.744991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.744991Z digest=sha256:c544f6bec8a756667437744c8d9fefadeaf1a7824f870646f039fcc558e448e7

Observation 6de77c58-260a-4145-b299-de9ee32f4868 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-10T20:33:38.751918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.751918Z digest=sha256:8452a0587da52c158d326a15afd0e65c38fff9931344e65703dd9ae94943b605

Observation 6f995041-2e47-410c-9507-ec082c2b592c · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-10T20:33:38.760143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:38.760143Z digest=sha256:bc629624d307f4a655de460fcb6fa12969f68663a3dcd88d35d0e0054f1f5231

Observation 5242291f-75cc-4ddf-b422-6ee52b33e7d4 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 38

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Observation 828551ad-357a-4d29-b5fe-6052f57dbc2e · outbound

This paper cites Sutton and Andrew G.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Sutton and Andrew G

Reference 39

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Observation 61d5c151-2fce-4436-987e-279cc8c63542 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 40

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Observation 576299e6-0f08-4f61-8443-72f2bca7287a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

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Observation dd06551a-6f05-4bab-8ba7-31008bab24dd · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 42

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Observation c6684a1c-a0ae-40da-9fdb-10a3f28453d8 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 43

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1ac18f5b-2832-4621-87ea-44fa58596927 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 44

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Observation 5e7b4bf4-f65f-40aa-8f7c-9c1d54f94189 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 45

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Observation 975a53c3-75f9-4272-8021-33edfbee9545 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 46

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3ff45a7e-240e-45f9-b1ca-118fe6362632 · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-10T20:33:38.905641Z digest=sha256:d4fbaa2af3d8c003f22495c8d997ef27b61b04fdadd1b6472c2674f89d67a240

Observation e1f52ce7-1054-4474-8be2-088e7131ac9e · outbound

This paper cites an unresolved cited work.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Unresolved cited work

Reference 81

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:33:37.649059Z digest=sha256:7a8f4aa7921944ae39774603b483e2d8cc15619bf9fdbf5fe42be2dd1e844ffa

Observation 7f177fe0-33b7-4bd7-bb54-e08c3161d14a · outbound

This paper cites Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Reference 2018

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source=pdf_text observed=2026-08-10T20:33:38.108898Z digest=sha256:7ab7244c5f8b7f5f743f8486c6336b911b2e7ddfa784fac3daf5eea164f09f46

Observation 7480e80d-577f-4611-8e4f-2edee0f33995 · outbound

This paper cites Dissecting the NVidia Turing T4 GPU via Microbenchmarking.

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Reference 2019

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Pith citing papers

No inbound Pith citation observations are available.