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Paper Citation Record · LEDGER

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.07268.

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

pith.paper-citation-record.v1
2412.07268 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:02:11.847149Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c565830c-cf11-40c1-b91e-dbcdf2fd6425 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-11T19:02:11.561544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.561544Z digest=sha256:aee5e71b9c5da9a666627fb0e70ee1e2d80a6213bb83214ac4ff35d22afc17e7

Observation 1d0ef8c5-4ce2-4a41-913c-d6390d390ed3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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source=pdf_text observed=2026-08-11T19:02:11.567141Z digest=sha256:9cf452f1a2ce9d23659aa7cbfa87b47420934d2f6c0d708a3355ff136be6aaae

Observation 6702e48d-ca00-4617-a765-8de13f8a4079 · outbound

This paper cites Neural Network Matrix Factorization.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Neural Network Matrix Factorization

Reference 3

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source=pdf_text observed=2026-08-11T19:02:11.572500Z digest=sha256:c41466866871993cbd8cca3ba57fe982e1283e7bfddd6c74b984588098026273

Observation b229445a-b808-4f54-a262-cff3288797a8 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.578490Z digest=sha256:c132fca39e1030380779794a2c76abb2ffb01e440dcdfe813acddbeadc14bddc

Observation 8c553e5c-4380-4b7e-8a04-2b1085edb61b · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-11T19:02:11.588702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.588702Z digest=sha256:05f3e3190f279c95e268bc56db750f4e07e306be1cba6b1d2959c80285637b33

Observation 1f7c1381-eae6-4b1f-bebc-55c3c019ffe7 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-11T19:02:12.657423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 60bfea3a-bca8-4f80-895b-e63d211915b5 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.604267Z digest=sha256:622acb0b5e5902ab556a5825ecd8d0956db255001b253e9912b8047e23e6dcfc

Observation f4da5441-9fe4-48ab-861a-5f827b4d5304 · outbound

This paper cites The State of Sparsity in Deep Neural Networks.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models The State of Sparsity in Deep Neural Networks

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.609913Z digest=sha256:a7517f5d110f61eee2c0c512b653af62c42410a440ffb9a549b2dffa29120ec6

Observation cbe5252b-7a85-4719-b0d8-616fe405d548 · outbound

This paper cites LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit

Reference 9

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source=pdf_text observed=2026-08-11T19:02:11.615369Z digest=sha256:42ae9d201b98ad14fbff14dad7961f5d81cca1f6f8cfab716dd3a270784c6270

Observation 995c87f7-00f5-467c-a18e-7b4feab66444 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b499b1af-0929-494e-af27-88061418bca2 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models 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 2026-08-14T06:32:32.682623+00:00.

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Observation cd79acec-09ad-4b67-946f-718fe0b7fdcd · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7fdf604e-b5c4-4039-8d7f-02456b5cf6c0 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7256b604-0d93-4869-b176-c1e2ca6a9956 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 363ce52f-5a13-43a8-a5f1-96972965df33 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-11T19:02:12.552365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.646056Z digest=sha256:e30aceb87e62dcc9ffb0bf74f1a948767eb851a66fa8801a6e4da2239f230920

Observation 9ceb220c-3fad-4dee-83f0-6b20c11eb24a · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

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Observation e7519816-8b27-4dbc-928c-d680ca14b7eb · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.655807Z digest=sha256:18cbce238faceaf755d93a80c02aeba6aa9044d3121616cd54a36acff16b7c7a

Observation 0b98b225-6c27-437c-a635-e7b55c72dafd · outbound

This paper cites PTQD: Accurate Post-Training Quantization for Diffusion Models.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models PTQD: Accurate Post-Training Quantization for Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-11T19:02:11.661123Z digest=sha256:e064f8218b76d6ec268928a53243b6670a4e86ccfe7d3deaa12ce125b25b0f58

Observation 1b40c817-7c8b-45da-8a62-8a7ccf2926b3 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.666120Z digest=sha256:2cb9d5adfcaf0c222608789fbc951aa6879dcfa7ca9a8e330a39542b383b4705

Observation 75a24f9d-de90-42e2-994c-31915129c345 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Distilling the Knowledge in a Neural Network

Reference 20

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Observation 6a854688-bb81-43bc-9438-955d7f38b611 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 23358efa-1ab4-4f46-8caf-90065d3cccf5 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.681551Z digest=sha256:d6fc3e8fa6d7ee685da0aff354d44e66a6906151e31c1637f680fefe7f08da4d

Observation 532a913a-e304-487c-9826-2262bd1cff09 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models 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 2026-08-14T06:32:32.682623+00:00.

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Observation 66617861-9e82-4066-bbaa-6e30c1d06ce9 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models 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 2026-08-14T06:32:32.682623+00:00.

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Observation 97873647-ddd6-4275-acc2-2bee6b146150 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8ee2655d-cdbc-49d3-b1ba-0fa01df95ffa · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 592cd755-798f-4afa-93f8-8eb44b675387 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models 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 2026-08-14T06:32:32.682623+00:00.

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Observation 07db5a75-ee1f-46e2-bc04-1f26f47dd6a2 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 72e5314a-192b-4dd0-947e-49d7e8660793 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5246ab89-8c2c-4611-ab12-d6464b071e86 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 971ba123-9d7e-45ba-a167-6f95dad41b4e · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 87d597a1-5f48-4b12-9af8-d6afd8adb648 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8de4516d-acfb-4f29-b59d-b8085056e937 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2db5a80e-0155-43ba-9f78-f46174bf7928 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.749012Z digest=sha256:f71534ca9a7a664f4075ce8ec4189abcb029234b374d063032c09fb1d3f1ace4

Observation 8886b660-7759-40cf-a07e-0959961fb3e0 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e6973eb7-2075-4770-a824-d8144a45ba6f · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.759054Z digest=sha256:bb51d58a71fcfe5d4373b52513d42b0feeb8a06ff09a1167bfbed7a733ec7cbc

Observation af3efbbc-7d78-4b10-b3b1-e12f981cac79 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-11T19:02:12.303008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0bea3a84-dacf-40ba-a496-31ff85b4a8cc · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-11T19:02:11.768588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a131fc4a-6db9-4d99-bcb3-13293c76b721 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:02:12.276275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 82cce5d9-8930-4c68-87d6-66147843fe3e · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:02:12.257160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.778954Z digest=sha256:99e4cb58ebf2f0a0867e20e8e0b39db01bc0bf43bb417316b95b7c94dc4ade88

Observation eff6d5b0-0221-4c03-bc8b-d8af0719427c · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 079b9d39-3679-48d5-8bf4-b80aeead08dd · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:02:12.224616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9bcd5c4b-b2f1-483d-8621-feb5404b6aaf · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:02:12.208437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bf335100-6cb1-4aef-add1-8b87242f5ffd · outbound

This paper cites A White Paper on Neural Network Quantization.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models A White Paper on Neural Network Quantization

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9124bbeb-2dbe-422a-9d16-76f52dfea09d · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T19:02:12.190834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.804658Z digest=sha256:858b9d1959d4cde7d44bc099318c940c786914350b1fc2f352ebddd7bd5800cf

Observation 1641316a-46bd-426e-9f72-a29856a6c594 · outbound

This paper cites Comparing Rewinding and Fine-tuning in Neural Network Pruning.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Comparing Rewinding and Fine-tuning in Neural Network Pruning

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.809398Z digest=sha256:ccce57ec8c83a22cc4ce6987b3cfd32f285648c754706b011e8feebb38734f2b

Observation 37c6ded6-cd7b-4c61-8e0a-e67d80139eea · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.814337Z digest=sha256:c4380f8025b40f2a330512eb708b17a8987c8ad42970d2db341739765d8da9f4

Observation 9b9016a0-4fa7-422c-8579-c44ea28aa144 · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.818873Z digest=sha256:b3e411c625346c70718ba8f17d9a3dd255d2b50595af5d8fe6e17bfe5359cb6b

Observation 92959ac1-882f-4f5e-a75b-74976e4862d9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:11.823368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.823368Z digest=sha256:1ab35cb8eea74a769126a6895eec57461f67963b461d98b28ccd52df3d25e18d

Observation 3a0ce581-9dae-4df4-b2ec-3b78e9033b9c · outbound

This paper cites an unresolved cited work.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:11.828629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.828629Z digest=sha256:0f5cfe565311ce8eaaa686fd76222f16c55453845efd4d700b5f1477da4deaa5

Observation af9557e3-cf43-4aac-86cc-4531ee094fdd · outbound

This paper cites Picking Winning Tickets Before Training by Preserving Gradient Flow.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Picking Winning Tickets Before Training by Preserving Gradient Flow

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:11.833676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.833676Z digest=sha256:da7c078590c04f7e76bc93f995f31cd244823ce6edc42bb5ccaec2f4fa2e697f

Observation fd0e2759-96fe-41e5-83f2-818eb1f28a97 · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:11.839280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.839280Z digest=sha256:30cf6c9cfbf70d3f6cbc8a174b410b7f12b48c572255f0c0b28955856c03e103

Observation 355a424a-58d9-4626-85fa-6c40ae3573f9 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T19:02:11.847149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.847149Z digest=sha256:4883c05101c3cdeaa8bf7f727636e460c1fcab2b8505a4a2b80b750d1e6737a6

Observation e0e3c34d-02d0-4199-bc1a-c7dfe6bed0b2 · outbound

This paper cites Stabilizing the Lottery Ticket Hypothesis.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models Stabilizing the Lottery Ticket Hypothesis

Reference 2019

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unresolved
no resolver link, observed 2026-08-11T19:02:11.598637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.598637Z digest=sha256:83f311f07f32e1958f0d8c18e8c145591f13b9c50f7524174b3ba779484f0740

Observation 434c42ab-c9fb-406d-ace3-ffb346cb0b4d · outbound

This paper cites In International Conference on Machine Learning.

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models In International Conference on Machine Learning

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:02:12.685853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:02:11.583332Z digest=sha256:e0d06ef67a7e2c4da99d62b7927fb856151df6542e8d2efd5eb1d68a897bf766

Pith citing papers

No inbound Pith citation observations are available.