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Paper Citation Record · LEDGER

BladeDISC++: Memory Optimizations Based On Symbolic Shape

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.576801Z digest=sha256:4f07d0fc8586e291f381074409dc343583aa64547114f0a4bd83414b1bcb8058

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.579824Z digest=sha256:811f20dc0ff47a1ac00b101c1f81f3ff0e1a33dc65c44016eb7b34c083ed8c34

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.585593Z digest=sha256:e9a4a06438c355a7541cf53d90d6d62e1c18ceaf85bee2af2be0d120425bc261

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.588085Z digest=sha256:4b3cbd7bfb7535e32f62d8d53bc5c168d6862a016bf043d580e9de886915a0b9

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=sha256:99db69c64b88768a9a8fa03cfa941f49dda96180df90eedd75d0965be80241fa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.599979Z digest=sha256:12a43fbe4aa78d897f65aefde0e095e3a379d46ddf451946644b8cfd80c5c4dd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.603454Z digest=sha256:090511f69063e6e52a54f1658fc2063ef9495fbdaf61610a921d89f1fb6f31c9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.606288Z digest=sha256:56cf369b48ef66542f06ee8bebb0c91f2fd35de46c14b5be73f8d449a6971add

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.608508Z digest=sha256:53a23845d7e4b5658b0cf6e9b5868d670112d405a4f90b70f2540b7548fda958

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.610674Z digest=sha256:8aae78786c910ce0523319deb5605cb45a66bac1cd6c11d242af8932c0989b9a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.613116Z digest=sha256:7f6d3ff2ae095a3c2400b868e914808d320ce84163329dc0ad256544f2edcf72

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.615678Z digest=sha256:88c6ba7450d33603acf20bd5f6ba23f6c73e81c7c66872678ebae7397ebfe824

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.617704Z digest=sha256:22c2f4882439102a323a2e45f26bc309a5b7528d283fa30b54d2c012134daf81

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T05:59:00.619914Z digest=sha256:0ad35a2e3d9383ac6064569555b02aca91518fca3a7c644d6a160cb525217df7

Pith citing papers

No inbound Pith citation observations are available.