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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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:c69f60f41dd965dc6b1059599fcd455da4900ae814061389720c1e034b1d89d8

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.567141Z digest=sha256:fe5f7262098a38627d091ce8aadf033e5b837cef0884f9c6fbb946fc0063827a

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.572500Z digest=sha256:557200bd33e983906b69de9ff80b97bbb667fc2b401d5afff480e18e14ce952b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.578490Z digest=sha256:0762ae12d38b1af0153614a1ba06393c677ee088989da2b8e3e7533d5c0e6ce5

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=sha256:77afb7a0afcc73957e5e8c9a77dd07ed82df65dede30a990aa03f1ccf341f8d8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.593664Z digest=sha256:6bc29973c2831a446f991918eb2b8c551607b2d820641829ab6fda952bc4721c

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

Resolution
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raw_fallback, observed 2026-08-11T19:02:12.641221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.604267Z digest=sha256:f40d9b072bacf859251c8d740bacb1eeb6b21fdb03d0ef291bbd61dc91cf8a7f

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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no resolver link, observed 2026-08-11T19:02:11.609913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.609913Z digest=sha256:835d0e72b6c02812d8bbdd06acd358ab978d74c90383eacc357a2c08bf7daa80

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.615369Z digest=sha256:5e61f2a8e73b479019c83489b78a765ac4dab72d78489df08f94cd691140817a

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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raw_fallback, observed 2026-08-11T19:02:12.626053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.646056Z digest=sha256:8d25dcd56012353b868e5f4018e4ca514cfe1f5b7181dfb54225fb891a6d2172

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.650962Z digest=sha256:a99e3097b75a30e90ec2c2a0f55d6ca9e9623a7a35f68fc6830d1cda2f32ada7

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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raw_fallback, observed 2026-08-11T19:02:12.527142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.655807Z digest=sha256:b364f53ad58c0eea16dafe9617d9874ffd667144624565be96c366d360c7663f

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-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-11T19:02:11.666120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.666120Z digest=sha256:ad97c557c16a2827e5677a2e9336f43dfca16abde545e0aec29d73d061e986a9

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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no resolver link, observed 2026-08-11T19:02:11.670966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

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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no resolver link, observed 2026-08-11T19:02:11.681551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.681551Z digest=sha256:b908167d9fff66c213750c704c4ba220bb760655ba27ff860a227c6acc61288f

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 2026-08-19T06:32:44.657259+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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raw_fallback, observed 2026-08-11T19:02:12.464916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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=sha256:35bace83a9d4dd09f071f5fc7cabdffee3e7d1fe4f1f6c83fb90a6bc185a773f

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 2026-08-19T06:32:44.657259+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.

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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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.778954Z digest=sha256:e2b689092a6172355d7627e5ffd380ae6a3b373dd7c50d21eb0ac5bda745ab35

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
raw_fallback, observed 2026-08-11T19:02:12.240299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.789595Z digest=sha256:40ce32e4f35920c39f9301d90cacd9ae1d654dc70cdb61a4770c6e2ff51a223c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.794592Z digest=sha256:434d57241fa8562d7008045dc9b71ac495065c431bba2a44f5278a6c0cd87cd5

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
no resolver link, observed 2026-08-11T19:02:11.799212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.799212Z digest=sha256:6fd8aaf108a85ac8eb44a6ae7946c53456fcb1325be61a685b6ef596e16c34d7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.804658Z digest=sha256:621ad1860e98c3474d324290ae1ab775ca5163e2578fd19afd3a643a9b847763

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
no resolver link, observed 2026-08-11T19:02:11.809398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.809398Z digest=sha256:2b249d37436e5008688c38c69e0891dd6801c8ece9fa8b19f37e1ef0385b5c84

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
no resolver link, observed 2026-08-11T19:02:11.814337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.814337Z digest=sha256:e9fb6aa3821ecea85c633e1894c2066645ee7e5ea1dceff5ac5d14a392d103b8

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
no resolver link, observed 2026-08-11T19:02:11.818873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:02:11.818873Z digest=sha256:36603a96343db88adee4af32073e0a33b8796645e3dbd5b72acac65a7b2c7c20

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=sha256:89096723b430bf55cb4dc64775889f869aa7b98832dbbb6c48461377a318ee6c

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=sha256:50b2382ad8583efbe36e1018adfc51e7791a35ae8d18c1e8ae8036a090c533db

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=sha256:7758b200da8ba9366be610b687a11117271ba29c82cb64e21508b85c8eabc014

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:ba18e10e6240d4af2d3b5b10865a96a72a011c2016a2b67e67b0925d2e124aa8

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:e5098fbad666cfa14dfc3c33f0fe1677070391b55afe45427212486850e74e9d

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

Resolution
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:dea98ab91326672abcb978ef65238591804ca7a6bcc611bea3b1eb1413c7ad28

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T19:02:11.583332Z digest=sha256:ceb4ca26e17ba84ae4e00df6854b0b89db53f8ac0260d65a69d93e5c7850be1e

Pith citing papers

No inbound Pith citation observations are available.