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Paper Citation Record · LEDGER

BladeDISC++: Memory Optimizations Based On Symbolic Shape

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.16985.

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

pith.paper-citation-record.v1
2412.16985 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:59:00.619914Z

measured 17 of 17 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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5df748c7-aaa2-4b7b-8ddd-2c8668f0ee82 · outbound

This paper cites Accessed: December 24, 2024.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Accessed: December 24, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.745483Z

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=2026-08-11T05:59:00.576801Z digest=sha256:ebcbf9da1742c46a1a14f16f2a20e27895729f96f3f5468d8ddd1e766c54d00f

Observation 1c009883-92f9-4bf9-afea-22ac8af0caaa · outbound

This paper cites Magis: Memory optimization via coordinated graph transformation and scheduling for dnn.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Magis: Memory optimization via coordinated graph transformation and scheduling for dnn

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.737685Z

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=2026-08-11T05:59:00.579824Z digest=sha256:36983d31422310c4c555a06926d9962ac4ea2ac27265694aac564ee51eb4bc91

Observation 952e66f6-4257-4a68-918c-fe9043de5b44 · outbound

This paper cites Training deep nets with sublinear memory cost, 2016.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Training deep nets with sublinear memory cost, 2016

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:00.582998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:00.582998Z digest=sha256:c8c86c288dd626f358e2f6287915c6db5da7698f79c5947e5d0c9919cc30a1f5

Observation 9717ab50-42f8-4c2c-8c0d-fe104b40f55a · outbound

This paper cites Alibaba cloud ecs.gn7-c12g1.3xlarge instance, 2024.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Alibaba cloud ecs.gn7-c12g1.3xlarge instance, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.726894Z

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=2026-08-11T05:59:00.585593Z digest=sha256:d6b5664929100f4b37cc56ae665d502a0860c8324c83c53072d1f242fedc7b17

Observation 3aaf8bc8-73de-42b6-adb3-0e1a07e47e60 · outbound

This paper cites Swapadvisor: Pushing deep learning beyond the gpu memory limit via smart swapping.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Swapadvisor: Pushing deep learning beyond the gpu memory limit via smart swapping

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.719039Z

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=2026-08-11T05:59:00.588085Z digest=sha256:d19301a3d88f7d808cc1f82691363908aaecd6c5f6f7c3cf3af9eea11dab99ac

Observation 4807c271-6f91-4627-ab5d-bb72344d035a · outbound

This paper cites Gonzalez.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Gonzalez

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:00.590717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:00.590717Z digest=sha256:2b352b842bd0f2511ca7b721fc3983943b55b89c908752bfe92a31bc03fc8c6b

Observation 893ed2b8-6724-4130-93e4-840ab070d982 · outbound

This paper cites Dynamic Tensor Rematerialization.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Dynamic Tensor Rematerialization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:00.594255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:00.594255Z digest=sha256:f5331b81158e66b8ef6763a27321dac9c661c9e87f4f6ebb448a5a96502956b3

Observation 2874dd07-e893-4359-8ecf-a1537101a51c · outbound

This paper cites Xla : Compiling machine learning for peak performance, 2020.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Xla : Compiling machine learning for peak performance, 2020

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:00.597611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:00.597611Z digest=sha256:93754fe4ea8d7464d38b033ce5786107b97b7cde5dab63e361022a672b3ed94f

Observation 3df1d322-d041-47f2-9e81-492db945d04b · outbound

This paper cites Olla: Optimizing the lifetime and location of arrays to reduce the memory usage of neural networks, 2022.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Olla: Optimizing the lifetime and location of arrays to reduce the memory usage of neural networks, 2022

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.705420Z

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=2026-08-11T05:59:00.599979Z digest=sha256:9130723b882e8c370dc34aadde20572b8d86eada756552d18666f38c68605662

Observation f77dfa2b-77e9-48f5-9bea-954da0463173 · outbound

This paper cites Delta: Dynamically optimizing gpu memory beyond tensor recomputation, 2022.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Delta: Dynamically optimizing gpu memory beyond tensor recomputation, 2022

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.697568Z

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=2026-08-11T05:59:00.603454Z digest=sha256:7066c7715efa7755bda8a22b0af21078ea7b21f360d72033d009072e1d35566b

Observation 900121a3-fc57-45cf-af80-8d30b0285d9a · outbound

This paper cites Bladedisc github repository, 2021.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Bladedisc github repository, 2021

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.690558Z

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=2026-08-11T05:59:00.606288Z digest=sha256:d84d211255fdc48d19a366661a087e65f9398c0b4c958d58dad96dc0a4304a28

Observation 989362f5-744b-4299-b8b9-aed1ba9bac75 · outbound

This paper cites meta-llama/llama-2-7b, 2024.

BladeDISC++: Memory Optimizations Based On Symbolic Shape meta-llama/llama-2-7b, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.683666Z

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=2026-08-11T05:59:00.608508Z digest=sha256:41485f538cccb479572d37809b585d6111bf1848e5488b97731f1acdea9ea31b

Observation 7b80eb24-588d-4cca-83d0-443613e4e931 · outbound

This paper cites Dynamic shape in modular, 2024.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Dynamic shape in modular, 2024

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.676787Z

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=2026-08-11T05:59:00.610674Z digest=sha256:d09a1cfd73ea7381a4665f37a63b55dfc3983086b96435de65f506304b23e26d

Observation 18e0d94c-912c-4020-bcaa-8c5c859bb73a · outbound

This paper cites Dynamic shape in pytorch, 2023.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Dynamic shape in pytorch, 2023

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.669916Z

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=2026-08-11T05:59:00.613116Z digest=sha256:1d61986e0cfa316a042efa88c6ae0ef4bb40130df433abf10365127ac8bcf6a0

Observation da6674fc-460f-4b72-b497-c8468c1cccaa · outbound

This paper cites Hierarchical memory- constrained operator scheduling of neural architecture search networks.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Hierarchical memory- constrained operator scheduling of neural architecture search networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.662714Z

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=2026-08-11T05:59:00.615678Z digest=sha256:6f971f37357657d1901ce07530396d55ebdac0e925e4c7e789188f17172845e7

Observation 9735dadd-c389-4c0f-b1d8-3f33b70dac5e · outbound

This paper cites Bladedisc: Optimizing dynamic shape machine learning workloads via compiler approach.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Bladedisc: Optimizing dynamic shape machine learning workloads via compiler approach

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.655332Z

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=2026-08-11T05:59:00.617704Z digest=sha256:7a9e11cb90c0ccc60c677038d7b1f964e64e0ff5ea79374c550513fea805ce47

Observation f3f0d8ed-fe31-4510-8497-32b10e69c468 · outbound

This paper cites Disc: A dynamic shape compiler for machine learning workloads.

BladeDISC++: Memory Optimizations Based On Symbolic Shape Disc: A dynamic shape compiler for machine learning workloads

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:00.646757Z

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=2026-08-11T05:59:00.619914Z digest=sha256:7b1d811877eeef56ceb8144bd890a712ffe13e0450e556fc461d693c43fd29dc

Pith citing papers

No inbound Pith citation observations are available.