Paper Citation Record · LEDGER

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.08740.

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

pith.paper-citation-record.v1
2608.08740 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:31:49.805543Z

measured 36 of 36 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

36 of 36 outbound references displayed

verified exact2
verified fuzzy15
unresolved17
parse uncertain1
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f50d7f67-c717-47a3-9e53-973cfbbe5fbe · outbound

This paper cites an unresolved cited work.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Unresolved cited work

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T04:31:50.753235Z

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.

Observation 9f42199d-732b-40d1-885a-c53a493c2d58 · outbound

This paper cites 2016 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2016 , eprint=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.599663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a52f98f-4531-467d-89ca-3bcf68a39c8f · outbound

This paper cites an unresolved cited work.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.607405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51ec647-91f7-47e1-95ed-3dddd14664d5 · outbound

This paper cites Codeforces bciobanu comment suggesting.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Codeforces bciobanu comment suggesting

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.719730Z

Source-reported events for the cited work

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Observation b6eb2264-7bb4-45ba-a3ec-709234089aa6 · outbound

This paper cites Dynamic Tensor Rematerialization.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Dynamic Tensor Rematerialization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.618609Z

Source-reported events for the cited work

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Observation a7bb48aa-a852-40bb-beb8-c7f78ec69f06 · outbound

This paper cites Neural Information Processing Systems , year=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Neural Information Processing Systems , year=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.701078Z

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.

Observation 1364f815-7815-49a8-a86e-2c37cd191b15 · outbound

This paper cites 2019 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2019 , eprint=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.680291Z

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.

Observation 7fc5743e-4b24-4a7f-b621-7940269def09 · outbound

This paper cites 2020 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2020 , eprint=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.659186Z

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.

Observation d983c054-22cb-4793-ae60-6bda37aa3e52 · outbound

This paper cites 2004 , publisher =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2004 , publisher =

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.638070Z

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.

Observation c4bbeef4-505b-47a1-9a6a-8e26c4c7ba80 · outbound

This paper cites an unresolved cited work.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.649099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f15759-d2f0-47e9-afab-e27f7558bc84 · outbound

This paper cites 2022 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2022 , eprint=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.598580Z

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.

Observation 0f7320e5-0a9c-4750-aa5c-7874199a182c · outbound

This paper cites 2025 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2025 , eprint=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.577455Z

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.

Observation 8008c9f0-8866-4297-a598-ff0b607e42e7 · outbound

This paper cites 2022 , issue_date =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2022 , issue_date =

Reference 13

Resolution: verified exact; doi, observed 2026-08-14T04:31:49.871871Z

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.

Observation 7371465b-3062-4c8d-aa7c-f77298661ecb · outbound

This paper cites Memory-Efficient Backpropagation Through Time.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Memory-Efficient Backpropagation Through Time

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.671334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fee28e-e865-44b8-9af3-093558718477 · outbound

This paper cites Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware , url =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware , url =

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.557721Z

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.

Observation e8987614-3ffc-4860-b74a-5e537ca6523e · outbound

This paper cites 2025 , howpublished =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2025 , howpublished =

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.538700Z

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.

Observation 54eabbde-7062-41a8-b01a-12b6ed26087c · outbound

This paper cites A survey on memory-efficient transformer-based model training in AI for science , volume=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch A survey on memory-efficient transformer-based model training in AI for science , volume=

Reference 17

Resolution: verified exact; doi, observed 2026-08-14T04:31:49.854088Z

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.

Observation cf6bc225-194c-4ca8-8982-d03f3ad12af0 · outbound

This paper cites an unresolved cited work.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c4be31-ef42-4356-8693-4d3a094fcf59 · outbound

This paper cites 1990 , publisher=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 1990 , publisher=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.492885Z

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.

Observation c13a75db-05ce-412c-a45c-7787c209e0f6 · outbound

This paper cites Optimization Methods and Software , volume =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Optimization Methods and Software , volume =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.470221Z

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.

Observation 0b9138ed-a768-4ef7-ad3b-9a7f8b520f5c · outbound

This paper cites 2000 , issue_date =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2000 , issue_date =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.716473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba2c9a3-3cca-4535-81b2-3116e79e41ce · outbound

This paper cites 2017 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2017 , eprint=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.450115Z

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.

Observation ad62492a-0134-461b-b13d-8e8db01dfe94 · outbound

This paper cites 2020 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2020 , eprint=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.727255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f7a9c7-6a29-4de9-9f4d-fc246515cb94 · outbound

This paper cites 2022 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2022 , eprint=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.733090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01802ad2-33fc-4875-a325-03b4a9d69cfe · outbound

This paper cites Efficient Rematerialization for Deep Networks , url =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Efficient Rematerialization for Deep Networks , url =

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.395799Z

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.

Observation f3c9c862-2f22-4ff3-91bc-620c8fea4c2a · outbound

This paper cites 2019 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2019 , eprint=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.375203Z

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.

Observation 4e071a9d-7b03-4480-8a2b-e13913d42967 · outbound

This paper cites 2022 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2022 , eprint=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.749935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24af80dd-efb3-4c0e-b32d-a3958177dafa · outbound

This paper cites 2020 , eprint=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2020 , eprint=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.755314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfe72a6-4387-4a17-a7e7-2a335ae1a436 · outbound

This paper cites 2020 , isbn =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 2020 , isbn =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.761278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f838c85-c32c-4f75-95d2-955780b43977 · outbound

This paper cites ZeRO-Offload: Democratizing Billion-Scale Model Training.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch ZeRO-Offload: Democratizing Billion-Scale Model Training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.767449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d937cf17-0aec-481e-ae7e-5680c762bc2a · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.774844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e931b501-2f67-4399-aabb-423c49c75522 · outbound

This paper cites Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.781442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf98eee9-5ffd-4861-b005-5ec1c4dade5f · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.787109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7557ebae-6e36-4667-b664-c7d90dd98660 · outbound

This paper cites Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.793139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f710af4c-8de9-4446-9e29-ffe4cdab18c1 · outbound

This paper cites 1957 , publisher=.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch 1957 , publisher=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T04:31:49.799470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25f63eb-565f-4e7a-b413-59902a50f1c1 · outbound

This paper cites A Minimal Algorithm for the 0-1 Knapsack Problem , urldate =.

Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch A Minimal Algorithm for the 0-1 Knapsack Problem , urldate =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:31:50.309375Z

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.

Pith citing papers

No inbound Pith citation observations are available.