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Paper Citation Record · LEDGER

Pruning General Large Language Models into Customized Expert Models

As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2506.02561.

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

pith.paper-citation-record.v1
2506.02561 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:17.172063Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:26:17.777990Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75cd7cb6-f3fa-4115-af3f-a22746372f57 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:22.306453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.283204Z digest=sha256:4e9598c8a2059fa03c7671064a78b19771f5e36d9dae737ca3818672a4b02d49

Observation 93c8da46-7b66-4b04-a055-942ce8f33e29 · outbound

This paper cites GPT-4 Technical Report.

Pruning General Large Language Models into Customized Expert Models GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:12.344613Z digest=sha256:403f0ccdf8d808a2cfda6341dcf681002050cd80a060853772b88249709f649f

Observation bcb94b72-e57c-4662-8b9e-913c3e7c1575 · outbound

This paper cites Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.

Pruning General Large Language Models into Customized Expert Models Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Reference 3

Resolution
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no resolver link, observed 2026-08-07T11:27:12.429802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:12.429802Z digest=sha256:19062e82285da8d50e2a69e3ed421f61d6546d51051c87e311002e01e5681d67

Observation 3a92eac9-a475-42d4-849a-be155133abbf · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:22.292365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.513130Z digest=sha256:4e97b3b54158e048175922cf8820f4aa1d169dddbccea48e307790a02b58ae6d

Observation 465007c8-2d68-414b-bb18-9c190b25495d · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 5

Resolution
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raw_fallback, observed 2026-08-07T11:27:22.277607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.601065Z digest=sha256:274e56b4f4dca0c0f10be17f15a63733b4ef38a169499243e6332cd7d99cbfc0

Observation 8cd2b498-e6b8-4885-aa3d-68e636c6dd70 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 6

Resolution
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raw_fallback, observed 2026-08-07T11:27:22.260819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.710760Z digest=sha256:3d75210c5a17eaeb269550ac75d75fe990c04c12af636280b53cfd9fd8f58d9e

Observation 26be736d-11ea-40e3-b234-3b4300d308d9 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-07T11:27:22.246398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.788953Z digest=sha256:1f71491711fe1838e64241cdbf135c936c17ac9efd31dbe6927f2675acd53959

Observation 0539480f-c072-4753-a6b7-9469d294f3fb · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 8

Resolution
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raw_fallback, observed 2026-08-07T11:27:22.231467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.892219Z digest=sha256:dee11d98a46ce33e188a8462f5af0d86c262f687aee9e86a4fe916ed520ac4ed

Observation 2883a98a-d039-44b3-8df4-5673b58ad83e · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.984095Z digest=sha256:82376ff8057555c02b9b3ebb644ebb3445543c01e6a4ee28dbf8e1a02826d08a

Observation 42e37047-4a62-4f7a-8e45-616c510c5111 · outbound

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

Pruning General Large Language Models into Customized Expert Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

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no resolver link, observed 2026-08-07T11:27:13.050759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.050759Z digest=sha256:493ef078f0ffc0220d42685c8935ff7aeec04bb25a4980bc30155f0c6f1d7f2c

Observation a7433484-9d98-4c94-acbe-46fd87c285b6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Pruning General Large Language Models into Customized Expert Models Training Verifiers to Solve Math Word Problems

Reference 11

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no resolver link, observed 2026-08-07T11:27:13.118108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.118108Z digest=sha256:c1b5b86bc29d9b1723b15e2908d7dea04b447654deea3990c324952aaac2f77e

Observation 973d7a64-7fc3-4c09-80ba-0287d534d4a2 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T11:27:22.124185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.197492Z digest=sha256:eeb4fd3a628620d227522ed764aedfa21530a8d82073a5def70b20fedfd59614

Observation 7ba4d19c-01ac-4a38-91b8-146acaacaea8 · outbound

This paper cites Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca.

Pruning General Large Language Models into Customized Expert Models Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reference 13

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no resolver link, observed 2026-08-07T11:27:13.264081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.264081Z digest=sha256:6f28270768fc5411e456b53edaec90bb603109558d3ba68f902d75bcc283642d

Observation 912e80a4-2e6a-4a2a-8a7f-aca7165a93e6 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:13.330295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.330295Z digest=sha256:4e2a8133426155383fd840f7ab08285dad0e5d88571261caef32180ed2deaba8

Observation 3ca7b693-1254-4187-a227-96fec461928b · outbound

This paper cites The Llama 3 Herd of Models.

Pruning General Large Language Models into Customized Expert Models The Llama 3 Herd of Models

Reference 15

Resolution
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no resolver link, observed 2026-08-07T11:27:13.397215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.397215Z digest=sha256:e3767fca57dc3d336d75c4493c39eea5639062148ec39c16806be94dbc77fa6c

Observation bdddf063-9169-4860-8f76-cf088a4fb276 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:21.910239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.482935Z digest=sha256:786b8a676b33233c8770fad177d45d9980580b9551b200b36e94e966526ea51f

Observation d0b9c20c-c307-4aa2-8f97-339586e4c1e6 · outbound

This paper cites Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations.

Pruning General Large Language Models into Customized Expert Models Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Reference 17

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no resolver link, observed 2026-08-07T11:27:13.568919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.568919Z digest=sha256:29c26436b13533f935a72b3c1c663cce0c38f62fa9f09c0288ec306f66b812a2

Observation a778a4c6-887b-478c-9613-1825f36ae192 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 18

Resolution
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no resolver link, observed 2026-08-07T11:27:13.704399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.704399Z digest=sha256:3db304b375e86da8802ee4048a31506c5036fc6b2f55540219624dad2b536738

Observation 6fc9e053-9362-472a-859f-31e020d32074 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-07T11:27:13.782334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.782334Z digest=sha256:6c3cfacfc25043719d1200ca00d73d558722d9fb141b4cca6e8313ead0bacc4b

Observation 9dc66177-e511-448d-826b-3c2e1ee6ba98 · outbound

This paper cites Pruning Large Language Models with Semi-Structural Adaptive Sparse Training.

Pruning General Large Language Models into Customized Expert Models Pruning Large Language Models with Semi-Structural Adaptive Sparse Training

Reference 20

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no resolver link, observed 2026-08-07T11:27:13.850398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:13.850398Z digest=sha256:27c89bdec5f60a2c7032e005da48d266ecc07a5ec6663c3acb1656ff26ec812c

Observation 685b3618-a0f0-433e-91ed-49116a62fa6f · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T11:27:21.666419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4076f894-eda5-4466-b145-6d4aa5115055 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T11:27:21.377639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.954356Z digest=sha256:6b9be015fe2be9d60b64db3043d48a73e80e39a342fbb9d8d87dbf04eb25f3f7

Observation d7df7768-ce7f-481e-a53a-5e3f01c42108 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-07T11:27:21.166903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.024851Z digest=sha256:626dba8bc8018995aff57e09b8ed1ff02732e0090c60df2d61a4e0f5e014f0fd

Observation d5ae5360-119e-4531-be70-78191695fe5b · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-07T11:27:14.092257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.092257Z digest=sha256:aa8bd3e4ae9160ebff9059f418c23c55d99e204fe0172dbcbd023f3419d8bb14

Observation 3820beda-95d7-4dea-999b-4df1f8eeb2de · outbound

This paper cites Huatuo-26M, a Large-scale Chinese Medical QA Dataset.

Pruning General Large Language Models into Customized Expert Models Huatuo-26M, a Large-scale Chinese Medical QA Dataset

Reference 25

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no resolver link, observed 2026-08-07T11:27:14.186667Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.186667Z digest=sha256:27a12c59d246ff81f5245488e6302956b674f71a648035c5e5fb37a7cc0140db

Observation 28dadb7d-edbc-4464-bdb0-e51cb846929c · outbound

This paper cites Evaluating Quantized Large Language Models.

Pruning General Large Language Models into Customized Expert Models Evaluating Quantized Large Language Models

Reference 26

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no resolver link, observed 2026-08-07T11:27:14.258704Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.258704Z digest=sha256:984fdcd575c09b5980ed4d9d92642756d2670f59b49c046a42cd5eea0006e398

Observation 90a73338-ae43-4322-918f-a012aeecfe82 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-07T11:27:14.347741Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.347741Z digest=sha256:648a4f68e92d3be26608b8f8340bcc3d5ba580c0f1217d7e0323e63b878de015

Observation 7a9ea63f-b0eb-4aec-b55d-2ac77a2e8acd · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 28

Resolution
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raw_fallback, observed 2026-08-07T11:27:20.934780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.419614Z digest=sha256:58d550d9e4f4a281fc0f52909f4c26df7a7300cb74ea3ee21d7f48bb80a88878

Observation 5b1adf83-7081-4f60-af62-345b8e8dcd2d · outbound

This paper cites Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.

Pruning General Large Language Models into Customized Expert Models Parameter-Efficient Sparsity for Large Language Models Fine-Tuning

Reference 29

Resolution
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no resolver link, observed 2026-08-07T11:27:14.497190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.497190Z digest=sha256:e25cc5fcb485b1099f1654dbcd473d0c140452054008008fa5d81def21398438

Observation 8630930e-d38b-41e4-93ff-8fedc941d6b3 · outbound

This paper cites Multilingual Knowledge Editing with Language-Agnostic Factual Neurons.

Pruning General Large Language Models into Customized Expert Models Multilingual Knowledge Editing with Language-Agnostic Factual Neurons

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:27:18.432223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.588529Z digest=sha256:ce9143015a9947bea565855b93b2aacfd70ff8fa2de6d182221bad0cf40c39e0

Observation d0b2d3c6-8545-4571-8834-6a2aa1203b59 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-07T11:27:14.669873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.669873Z digest=sha256:b654ff0a9eb12dcf2af3435b4d07913669bd7cc89ea2c971d90b6bbf57e7105b

Observation fe22ec9f-7fa0-45a0-be21-b093485ea8ed · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.745573Z digest=sha256:6148197962d65470741588b2d931e62ee5cca3c570b1351144c5551e0368de61

Observation b040dc8a-ab98-4fea-91b5-2692441fa5bc · outbound

This paper cites Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset.

Pruning General Large Language Models into Customized Expert Models Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset

Reference 33

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no resolver link, observed 2026-08-07T11:27:14.817392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.817392Z digest=sha256:e08306a56d219fbd8595f157927708f3370537338c57a1ddc4f8e2d3033b78cf

Observation 38d432d5-eaec-4e31-ba4a-cf1127a73d8c · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-07T11:27:14.895057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.895057Z digest=sha256:f6a928f0811caccd7dc2d5e1e5f0634e50263a2ecfdc9b070e7589c17a175ae2

Observation c78fb417-725c-4955-9dd8-323eca5b880e · outbound

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

Pruning General Large Language Models into Customized Expert Models ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 35

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no resolver link, observed 2026-08-07T11:27:14.966926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.966926Z digest=sha256:90b178bbf9934f78ac3dd519101979bd4b150731acb5c7c894cda90ebf1b9d4e

Observation 7bfed1ec-0fc9-46e1-b752-32759c675ded · outbound

This paper cites Compact Language Models via Pruning and Knowledge Distillation.

Pruning General Large Language Models into Customized Expert Models Compact Language Models via Pruning and Knowledge Distillation

Reference 36

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no resolver link, observed 2026-08-07T11:27:15.017889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.017889Z digest=sha256:24c8e7cd813b89aa00a8fe973850828f53fe8ca1e22a4e625d1c7b34717782f6

Observation 110322d1-b6c3-4d6c-bb4e-9853bb00ea66 · outbound

This paper cites A Cost Analysis of Generative Language Models and Influence Operations.

Pruning General Large Language Models into Customized Expert Models A Cost Analysis of Generative Language Models and Influence Operations

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:27:18.136866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.101779Z digest=sha256:cc387be5777454cb7d9daa22d8fca43d597e795fd43a0b52d3291bf296329cd4

Observation b626f3f3-354a-4ed3-8182-40b030368c3e · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:20.685626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.174250Z digest=sha256:eef8e5b0b0878e87acad772983e86ee017b186c614867e42f68cc6548059a4e9

Observation 725063eb-9697-4ead-9bbb-6737558aae91 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:20.455898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.243961Z digest=sha256:3a36cf5235463e1ca6f481778e5d210e16e479fd265d5417c3510d140ee73c15

Observation 542f9ee9-6b3b-41a9-8b09-8a5fce2c479d · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 40

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raw_fallback, observed 2026-08-07T11:27:20.237470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.325507Z digest=sha256:d51d8c1d9536280d3a9f3ed0c4ff605a6e836022864ea04d42b88ac396925081

Observation 2af708f2-0d57-499c-a7f8-7d1b8a53a162 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Pruning General Large Language Models into Customized Expert Models SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.405510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.405510Z digest=sha256:e7f3289312ded4691478096da35950388ed880f49f24031a1e169761f431f223

Observation 6e03d91e-c16e-440f-9002-48a2ccdaf576 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Pruning General Large Language Models into Customized Expert Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.462309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.462309Z digest=sha256:2b5878fbc6f1398e9afbbe85ff09fc627fc1643cfc9e2e1de9d63ed7cacb82d1

Observation 1ce785e7-1c79-430a-bcc6-24bb3386011b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Pruning General Large Language Models into Customized Expert Models Code Llama: Open Foundation Models for Code

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.509883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.509883Z digest=sha256:d6304ad33c73ba8f547346779e0fb877ca05bdedf6a8fedb9a27fe23e021eca6

Observation 3546a4cb-80fe-4180-9afd-d392e894d453 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:20.047388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.582720Z digest=sha256:fd3b3af7c720ff78e2645f51fcbc7cfe2c9c6767d4fc995b9b792404f4c5e6db

Observation 1e6c7291-2629-4836-9775-3267de26597e · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:19.718545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.637969Z digest=sha256:6abb0fb289f7292c86feebb6ea3912c588c5eb75bfceceee13919272d6235331

Observation 99a6927b-3601-48d1-8f37-3be843502674 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:19.473097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.695755Z digest=sha256:42df50f44450cacd4f57c9c56c15b8c7d8ac15e9b912ef575006402e0002149d

Observation faace8a5-e40d-4447-ad7c-27275997af86 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.753927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.753927Z digest=sha256:4e60050e42e0dc1791ca87d7cf05c38bb8276fae569d959a564608a4a1db6b61

Observation c3ba0ea5-8717-4571-93df-0988ec6e3956 · outbound

This paper cites Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

Pruning General Large Language Models into Customized Expert Models Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.813066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.813066Z digest=sha256:79bcbde5020620b4d9f276fa9c7a59d65bb971c58a6a27e92bb7bb954f08a045

Observation bcc20739-f5fb-4007-9ddf-e278bdbefc9e · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Pruning General Large Language Models into Customized Expert Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.889553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.889553Z digest=sha256:0ef275b7006d73847b2a9b5a9123103820c3cda956bb01d8e1bcce31c0a41b2b

Observation 9f794014-3551-4fb9-acd6-1ddc0806461d · outbound

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

Pruning General Large Language Models into Customized Expert Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:15.945322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:15.945322Z digest=sha256:475c11e219da9ccbe1c6984e26fca8879f027ba967444f64c31c8ea0f8ad2904

Observation ca061677-33f9-4de7-b6d4-58cabd4d7fe0 · outbound

This paper cites Reconstruct the Pruned Model without Any Retraining.

Pruning General Large Language Models into Customized Expert Models Reconstruct the Pruned Model without Any Retraining

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:27:17.746916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.014572Z digest=sha256:2a1b06f2075e8b3b09d0dcbd63dd1fa0ff6901c3ad4f07bd09c3dea1b9073c45

Observation fad7f02a-2242-43af-9572-23c0b9b53fe3 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Pruning General Large Language Models into Customized Expert Models Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.073783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.073783Z digest=sha256:c707494c99f8b9f8b718945ad4055bd76fa64eacd1abf7cf4868c3f01b29d49c

Observation a2225caf-fd1a-4178-87cd-6584f16fc14f · outbound

This paper cites Structured Pruning of Large Language Models.

Pruning General Large Language Models into Customized Expert Models Structured Pruning of Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.117972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.117972Z digest=sha256:790d3e61006fe32d494ef760475503442cce15f7ee09311ce2a6ae545e86c84e

Observation aff50cc9-937d-4ca6-9d1e-5b5ea63baf21 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.174916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.174916Z digest=sha256:0d5cb99d7c5e9dbf71222ca6d133ac8fee933891eeb8f33846d3bab46cb3cbc8

Observation cdc50cbf-a842-47b2-840b-b15f3e557d86 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:19.226752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.240244Z digest=sha256:1b554b94114f41ee6ed94ff8177448a44984ad7d8f5416fae50f7055af2e99db

Observation d5989eb1-5204-44dd-a71e-56342f331c03 · outbound

This paper cites QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.

Pruning General Large Language Models into Customized Expert Models QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.305418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.305418Z digest=sha256:36562b36e9542ebcc2f1ca22a6fbe386a2d03ea45af8a7aae968d50dc0657bf3

Observation 38a42b7d-7af8-444f-9e39-bc9d3f921287 · outbound

This paper cites Qwen2 Technical Report.

Pruning General Large Language Models into Customized Expert Models Qwen2 Technical Report

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.365559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.365559Z digest=sha256:89282579862478a605830dbf42c50651dbcbcff7987377ff1238d6c94d418785

Observation 35df2db4-75ed-483a-ae24-6a93e9e56927 · outbound

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

Pruning General Large Language Models into Customized Expert Models LaCo: Large Language Model Pruning via Layer Collapse

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.420439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.420439Z digest=sha256:1a22edda886a6cde347dce43fa6f9126447d5db4425156b670d1b888174dadc8

Observation 720414e9-d523-4358-b282-81251ab0893f · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.471040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.471040Z digest=sha256:af07d537cba291a9ed00dcb3452e4c60ab16b4525121ae883aacada907aa9591

Observation 711ff631-9297-4718-9207-4979d49e7875 · outbound

This paper cites SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.

Pruning General Large Language Models into Customized Expert Models SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.526920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.526920Z digest=sha256:fdf40b05dafdf265222da20ed4a9a12bfbbeff2209bc85dc29cbb349d2efa118

Observation f265de71-581e-4731-8ef9-b1b4c7844b7a · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:27:19.049918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.586741Z digest=sha256:30bb8e6446da54c046e6d9fe1c8d12d2a363b939f079b00a2a0d88559d152655

Observation 78ca61aa-f383-40a3-bf4e-abbd18143ba0 · outbound

This paper cites an unresolved cited work.

Pruning General Large Language Models into Customized Expert Models Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.663270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.663270Z digest=sha256:b03b8a57d6d4afdf00b2dc349750d17bb0ef1fd0b8f878e8c146ab813d77962c

Observation 6da05f3d-fc2b-4e5a-9fe1-d26f081f6ea0 · outbound

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

Pruning General Large Language Models into Customized Expert Models FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.758328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.758328Z digest=sha256:04427a4fd3491023a8540849abcc03a543c416e7625f145a692a69b11611c1f0

Observation f5180ae8-e43a-43db-a42c-625e137033e1 · outbound

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

Pruning General Large Language Models into Customized Expert Models A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:27:17.400320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.853174Z digest=sha256:72447c3affba8dfab840c1d23dc7925c6035d0651bbc0ace0344cfd14c1570e7

Observation 6c849a4c-b02b-411b-af75-e259db32f224 · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

Pruning General Large Language Models into Customized Expert Models How do Large Language Models Handle Multilingualism?

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:16.935730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:16.935730Z digest=sha256:800755bb3e9ceddd515debb5e6f238631b082f7dad644693a551d526ebfef5b8

Observation 8b6e608d-ad4e-4c43-b58e-9b8b51284001 · outbound

This paper cites A Survey on Model Compression for Large Language Models.

Pruning General Large Language Models into Customized Expert Models A Survey on Model Compression for Large Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:17.032377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:17.032377Z digest=sha256:c4c266b19eb967243b72b7e05b528b577fae85d6b9d2f58bac518557cf30a3f8

Observation a203f34c-0144-456c-945b-acf4ed7508c7 · outbound

This paper cites online" 'onlinestring :=.

Pruning General Large Language Models into Customized Expert Models online" 'onlinestring :=

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:17.102196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:17.102196Z digest=sha256:faa2ccaeea314ca107d0923efac0d8f2bc4b850c0ec40b473e5d2ab56727fb2a

Observation 77ae6964-8cdd-4ae6-9131-3efd412c8384 · outbound

This paper cites write newline.

Pruning General Large Language Models into Customized Expert Models write newline

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:17.172063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:17.172063Z digest=sha256:52081a714a43abd5a6092f8470471225c77a00e2f6d6fe05d342d78778b7c9f8

Pith citing papers

Observation 26f5e213-0f1c-4879-a6c0-a91bb0f10437 · inbound

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging cites this paper.

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging Pruning General Large Language Models into Customized Expert Models

Reference 1513

Resolution
malformed identifier
no resolver link, observed 2026-08-04T06:26:17.777990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:26:17.777990Z digest=sha256:96957e6556579d466ad50a05169ea1c6fd91530a48050a5670d0e09baca802f6