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Paper Citation Record · LEDGER

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.03373.

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

pith.paper-citation-record.v1
2505.03373 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:21.965294Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0014be80-f6cc-4f51-9f3d-5f436ed65982 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.827814Z digest=sha256:d5515cff0be7fc3663af9ce06f7356c2024ae8198e8e1bba82ab7ce16317299e

Observation cfcbb4df-f044-4e9e-9e60-9891d7be8953 · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-15T23:59:22.340845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.832820Z digest=sha256:82b34fd547c62f193901308723e8d68877a2875655d0296cff37ff2a7848d960

Observation e3dffc4a-13c8-4f3c-809f-baf3aa8b9067 · outbound

This paper cites Apple intelligence: Ai for the rest of us.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Apple intelligence: Ai for the rest of us

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.331147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.836857Z digest=sha256:46ebf1a2f90d4a5eed94031d104700472d05b8b3c995b922e0e4796b203664e0

Observation 1ac7147b-2a27-4403-a302-ea6517f984a3 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.840221Z digest=sha256:bfab2e15be49b77562d54597c1ca431b06e7223236a46b6239d62fd7a474733c

Observation 7f465b6f-224c-4484-83f4-3b892f709d3e · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.843725Z digest=sha256:e94db23fc6803148a09303462b13b09f68dbb3ae5a0a01e2d051da3985e4cc88

Observation cad56c8c-5218-4d67-8f68-48696355c166 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

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no resolver link, observed 2026-08-15T23:59:21.846999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.846999Z digest=sha256:decc9f12d92520084c35caa8ba17804ad1bb5f30abad3ec6dcbf7672972fa394

Observation be36bd54-8c57-48b0-b03f-73d6d2f80a21 · outbound

This paper cites Deepseek-v3 technical report.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Deepseek-v3 technical report

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.316697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.850633Z digest=sha256:ff753bfd946cc40b6d3aed7d56d2c21c9d4dab912d07db6edc012c1216888bce

Observation 32bccd7b-cc3a-4321-be56-aa16c765c06d · outbound

This paper cites Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

Reference 8

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no resolver link, observed 2026-08-15T23:59:21.853686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.853686Z digest=sha256:a6dbd06618c7d30ccd007ecb51e44b4a0f8d2b119dd7cfb8eb45322cdebc97d4

Observation e22f9967-430b-4dfe-8406-39ad96c5d282 · outbound

This paper cites MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.857135Z digest=sha256:23f2c6f0e2db0f58c61b39878e176a51ddcfc3c28ed901f370f041b643561bc6

Observation 83fccc48-24f3-4d04-b926-8a2bfcb52b16 · outbound

This paper cites and Alistarh, D.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods and Alistarh, D

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.306345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.860663Z digest=sha256:5f65caffce3bb117f37b00e88268348eec31dc0756f83f3d482beac1a0a58876

Observation 29e971b7-3997-4ad6-a263-2bea653ee8df · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.863882Z digest=sha256:8559fb9e2376a1c215da618ab114c3cae884761bea2005a82cc144d30f6f9af6

Observation 85699077-fa2d-4f79-b23b-aa6c48e5e666 · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-15T23:59:22.291332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.866835Z digest=sha256:78bd35f6545bf55fa0a6645440a2264ed66a1bd8d6df239ed53e1efe44412eba

Observation fb714285-3e60-4041-b434-7d454bc27d02 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Gemini: A Family of Highly Capable Multimodal Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.869662Z digest=sha256:283415ffd0bf296d37b6674681f13d521b7cfc0c2cfe273b7b1028a6b75818b2

Observation 9d5d8998-0588-4316-a448-ac60a7a1d632 · outbound

This paper cites The Llama 3 Herd of Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods The Llama 3 Herd of Models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.873012Z digest=sha256:c9fffa54e5b5eaf56392a908a7405c232f18885ab335957bdf5be42b311f87e3

Observation bb9eb537-9fc1-42bd-96d5-0c89f323bbf9 · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-15T23:59:22.281652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.876157Z digest=sha256:8292679900895529067d7f31757099538e52583650c6a8247ae17c63b55b2492

Observation 8a2b98f5-47a4-4ab2-bfcc-8c61d1a6ee32 · outbound

This paper cites FASP: Fast and Accurate Structured Pruning of Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods FASP: Fast and Accurate Structured Pruning of Large Language Models

Reference 16

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no resolver link, observed 2026-08-15T23:59:21.879051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.879051Z digest=sha256:43de7501ae11ecad27c9a7d5e8430f4cb7c37c82f445c3b8c78c2520802e0f5a

Observation f8f2a5c6-1104-42bc-9e6d-73178991d407 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Adam: A Method for Stochastic Optimization

Reference 17

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no resolver link, observed 2026-08-15T23:59:21.882013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.882013Z digest=sha256:2b59dc11d41e82c0bfcc45468a413688e623c9addd0d1ce66b77e72f571d3242

Observation 7e0735e5-b8a6-4491-a9a8-bac119b8cfae · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.885061Z digest=sha256:4df8bb8b47901ee718b219645410c70f0a2ca7fc16523c3e568486ca7b24bf19

Observation 0b5de285-877d-40ac-b4a9-59e91ced00ae · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-15T23:59:22.261557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.888200Z digest=sha256:dc74674888bd06270b6dfa513b4b753efc9b59f644a0a0b2018d2381358b78b4

Observation 7076de98-47f8-4453-995c-5c8cff13b7ab · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 20

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no resolver link, observed 2026-08-15T23:59:21.891302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.891302Z digest=sha256:c7fb54867e71b1b1f44dd33cbbf945da631d355cb82a19f17e2fcd80703a655b

Observation 0e2a46a9-0a87-4901-890a-89bc531f58c3 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 21

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no resolver link, observed 2026-08-15T23:59:21.894461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.894461Z digest=sha256:220dd268f0a154256ba6bf6716ab2c22b776d590a4b99522f8f499d080146701

Observation a9f57036-7d34-4bdf-9bb4-4c52de7322eb · outbound

This paper cites ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models

Reference 22

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no resolver link, observed 2026-08-15T23:59:21.897702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.897702Z digest=sha256:2f2ab0772aefbad24443197e9a319297793cd2ca3cfa447a5ed2c5a4e9efa964

Observation 075fb19e-5d84-491d-845d-bcb61b4111dd · outbound

This paper cites Pointer Sentinel Mixture Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Pointer Sentinel Mixture Models

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.900844Z digest=sha256:75c19798d867cd8e4556b92c9823d5b28e24513bd04331f6662587aa82bbfbd4

Observation 621566ed-81d3-4b90-905f-5b30ce6f0545 · outbound

This paper cites Llama-3: Meta ai's latest language model.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Llama-3: Meta ai's latest language model

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.252228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.904115Z digest=sha256:fc30eb54daa66f4a90c0d54868b33c33e0fa13f458f4687e054adf6da61e0349

Observation 41b01414-4823-4bc1-9b2d-1f9ca2f9bf95 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 25

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no resolver link, observed 2026-08-15T23:59:21.907040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.907040Z digest=sha256:714c759c3be47770e4e045fd089dbbdbb4e408cb87a260ad43b71398dd92be72

Observation 9f10af0d-2536-4bfe-9ee7-8ad6543cde41 · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Accelerating Sparse Deep Neural Networks

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.910051Z digest=sha256:5cae7e4a51e518ca3e2de2344a7f15aabc04756452c6470aea8d1e7c39caf40d

Observation e7d7942f-ec87-4eda-b0b5-9ff2b07e2106 · outbound

This paper cites Gpt-4 technical report.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Gpt-4 technical report

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.241904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.913467Z digest=sha256:92a285118cf314a57b0684562419fb0327e2576fb45d11e4ccbb1422d1db3d50

Observation 31340767-9ee6-4ad2-b3b6-9c577efa1f83 · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-15T23:59:21.916678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.916678Z digest=sha256:5b660be5195a6434d2338aa9847aee7e0d413460d7826aaa10b10dc8330beb4b

Observation 8eed63e5-34a9-4de4-b0dc-b078e57e8e36 · outbound

This paper cites Qwen2.5 technical report.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Qwen2.5 technical report

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:22.225976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.919764Z digest=sha256:369ea8a1e5ec8b096b30ff563888f3da41ef42a06c2a47ab7edf62ecc2718814

Observation 0cb477fa-8706-4a0c-96e7-f377aa299330 · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods L., Bhagavatula, C., and Choi, Y

Reference 30

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no resolver link, observed 2026-08-15T23:59:21.922871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.922871Z digest=sha256:0ff8d20ddfb30e73aa1f3ac8509c5dafe9a755caffd2fab29fc9789dc835ae06

Observation 2e705268-4f48-4fd6-b3ef-491f61173a47 · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-15T23:59:21.925899Z

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source=arxiv_source observed=2026-08-15T23:59:21.925899Z digest=sha256:44d95d2cbf50fb0e7bcb48575080395362764296d46256e98a6a7885769c03a2

Observation 2a88c8d7-6d27-48a3-8d96-afe62660db23 · outbound

This paper cites Search for Efficient Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Search for Efficient Large Language Models

Reference 32

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no resolver link, observed 2026-08-15T23:59:21.929165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.929165Z digest=sha256:aaec708e9c4ad2ac0544101098dba691997e261315acc383813236891fbd8b61

Observation a796112b-bece-4df7-94c5-41206e66cfc0 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods A Simple and Effective Pruning Approach for Large Language Models

Reference 33

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no resolver link, observed 2026-08-15T23:59:21.932318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.932318Z digest=sha256:6e83ce0de969a9026a4244cfe7a899088f45c340ce9eca789d0672dc840ecfad

Observation 8a8b9b27-fd04-4fa7-b1b5-3428d8ff95e6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods LLaMA: Open and Efficient Foundation Language Models

Reference 34

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no resolver link, observed 2026-08-15T23:59:21.935578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.935578Z digest=sha256:762130df7f2495c2078abaf7ff56681d1e5719d45dfd80551a3bbdf314e69812

Observation 4610e7c1-db3b-458d-9640-06e034dcd8a2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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no resolver link, observed 2026-08-15T23:59:21.938854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.938854Z digest=sha256:f6f16428e77329b1fae5a85a850ae17857675544adc2479b739c9b6bbcdef20a

Observation 5599036f-1bed-4630-94ba-9a4b532d3f4c · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 36

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no resolver link, observed 2026-08-15T23:59:21.941873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.941873Z digest=sha256:6edf7202e1e0963f85dd1289632705bbaa63b38302114729f3a6f8da7948903c

Observation cc56bfc5-33f8-41f4-908f-5b9832044e55 · outbound

This paper cites CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information

Reference 37

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no resolver link, observed 2026-08-15T23:59:21.945152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.945152Z digest=sha256:f320a9001c2d7e27f029f42320e379096dabbb4c6bc9a0fbd38656cd21aa320d

Observation 7b321e2e-509c-4eee-8a56-795fdb8df737 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:21.948475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.948475Z digest=sha256:af70f782178648f1c72180b4f225e8953e2e3b7309d6aeed5539df817672b0f2

Observation 2f53fb20-b5da-4deb-9445-b0060ebfd290 · outbound

This paper cites LaCo: Large Language Model Pruning via Layer Collapse.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods LaCo: Large Language Model Pruning via Layer Collapse

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:21.951720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.951720Z digest=sha256:e061c1dd1a3029206fac79f20a50e14c9a9cf8e4c3ee6404dcef26d062e46e66

Observation f046d744-6047-4049-bb16-dc644a7faccf · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods OPT: Open Pre-trained Transformer Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:21.955351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.955351Z digest=sha256:6ea11bbd6aaef5d7d04c640de877dcb4799dcc50224f3670a48b807d7a304c0c

Observation 3c08c326-0638-4f05-b610-538d129b6267 · outbound

This paper cites FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:21.958580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.958580Z digest=sha256:0f9ae6f419db6a1fb61ad165b2941862a6e5bbe35ff94812809970e5889ed68f

Observation 1c2d9fba-a45f-47dd-8389-04a8b1fd9a63 · outbound

This paper cites A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:21.961549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:21.961549Z digest=sha256:80f3c89ae81a7b5ff3c4890f2ac9e79ea439883dd448222e9859fbe017769fcd

Observation 72aa3154-9705-49dd-a307-a7f5a58483cf · outbound

This paper cites an unresolved cited work.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:59:22.205019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T23:59:21.965294Z digest=sha256:f929d8b88decb7c97522b9178fa637a986262cdaae1c5f3fba5259ed18d48b07

Pith citing papers

No inbound Pith citation observations are available.