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Paper Citation Record · LEDGER

Pruning General Large Language Models into Customized Expert Models

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.283204Z digest=sha256:81b51ddf1982727a6c8205799775ee55bb2ef0e0f6a67a892459b16cf7410f03

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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no resolver link, observed 2026-08-07T11:27:12.344613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:12.344613Z digest=sha256:676f182f7d6de8fea1533a9fa81feef822e73bfb1cf71cc77d54c2c6918fed07

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=sha256:6e13f48065f215662c547bebec386979b87d07f096f864d1a7e48a1a2a7ea98a

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
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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.513130Z digest=sha256:1a9769c5d0875e8852eb4040757307c7b2a646c8c03a732709268160569e3fb2

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
unresolved
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.601065Z digest=sha256:7e8f1fdbba0f8c5bbd09ab43e0d7b0d0470f023307f63c65030faff941ad96ae

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.710760Z digest=sha256:8b68c4c73e87a62f56646e74d2b55c98d060d2b9683a3f70ca104c223637c955

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
unresolved
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.788953Z digest=sha256:42530e09bf6e3c4a6e12804da5f6b8e26d6b8abb32e5106331abe6a673719c1c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.892219Z digest=sha256:c970488c6e31f1acc72464b9800f70fabc76568a7dc6ca5d798b727c246974b7

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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raw_fallback, observed 2026-08-07T11:27:22.217467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.984095Z digest=sha256:7a7e5e6533452eda4cbb981c1cf800b4d5277e88aaf5c3f0464a8c52dcfc603b

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

Resolution
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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:fb7840e8abf9c743bc0ce5ac270f295c6e11cbf1070796bf83c08da7b940b38b

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=sha256:9afa6a3be455bb2fd893f74111fd1978043d0eea78d8813fb33286367d8d846e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.197492Z digest=sha256:7943328bea391a3efc4284e50c82a6bba6082f7830619c36e215022ce1d1421d

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:b5850a8fc773527c20ac39fcb682d9a292267584aadb5e99584044ac316020aa

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=sha256:61ed252f541ceddf2c99fefe4caf72496580c47f312d915bd6637bcd5106a8e7

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
unresolved
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=sha256:5d2e32310337ef5c87ea69c4fbc8bebafe6be3ca34b1287af48ce81789e78349

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.482935Z digest=sha256:7027981f1f775b0b43d4ccaf01f3569f986a368bf503e11a710ea0836276d4c1

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

Resolution
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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=sha256:40312fa6e608d20c78cc942a757b790ec327c163c4d0aac670c06f77dcd29a57

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=sha256:442491f7133efd7e693edcd740798768b7bd79d3e614ef16c54b2072280fe15c

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

Resolution
unresolved
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=sha256:796df9b8fbb3f292eb998b0e6425c42fb73b0c5d618499c94b7aaa0210bc161e

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

Resolution
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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=sha256:2bda522bc36e9fbe22b4a804e784cb0e18364846b2aae832eecd25056c58678a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.899436Z digest=sha256:76fa7207ca10b97ca14cb586a40a3672e02461957ef92459e503e820fb796500

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.954356Z digest=sha256:887befe1c6c874c13e9c1913632f45c4a6152541ad3e72ff4ad82ea783b1a357

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

Resolution
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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.024851Z digest=sha256:70b0d7da95d587f50e6350719ff527be1b71e75218f84ef54a0a467b6fbc5e73

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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unresolved
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=sha256:02d613f27d05d7c1e04ce655e5c4a758304f5beb2228d2d1b3b620bcff9f4ccb

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=sha256:62789569a81377a8c86766a23288fddaed42204a43183133da0056c9ad5e0ec0

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=sha256:4b5c119294f52c01fad4dedb48e1af7b985e79bd51666be3b6ee9eb240856b4b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.347741Z digest=sha256:5199d5fb2d67cefc549ccc1f72f96ec1616b9e9661f45f2e02af860f6ad5053b

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
unresolved
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 2026-08-18T06:34:40.430872+00:00.

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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:aa2fecb92e1672fb267ef665fdb073ec842cf8f3fd3810d5ed6aa3ac112419e4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.588529Z digest=sha256:782e2ed323909d425bf4e6ceec3043e9920309ef87f236c986e1bba3e5b58bd4

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=sha256:1ec4782d8da54c2c4a3a1452ddfcd6bb56c56e3c807102207fac69b0cafc1105

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
unresolved
no resolver link, observed 2026-08-07T11:27:14.745573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.745573Z digest=sha256:8b3cf107d296b532e019b39e5c074da6369816dce3323a77d7005c987092a556

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=sha256:84b7c926b28b990b884fa798b6e4548d232bd7599cd27aa046018af30dc8edef

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=sha256:54658ef2be6b2a87c2ecd68a4a59bbab6ad3d8b16c5c3d6f5788375e426a1bce

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=sha256:629992214111c3d6c4e3a848b8c4ff03956984ff01f6238a0a48d12caf99b838

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:d288ae210e902bcb1b4b999f8a761a1e03090ec631cba6746d053104306d7613

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.101779Z digest=sha256:4aad35022da9aa1f1238a5c8ab642a77b552d0dbe1ad379d167c341538dbba1c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.174250Z digest=sha256:eaabdde7c27211de7330f690aa39721814d385a9b32e003d431c6dd50375dfc3

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.243961Z digest=sha256:b5ccefe999c149e67a8225d3af192e617fa956ff81cda1def0d28333cae51563

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.325507Z digest=sha256:813dc18a40c22b704637e0db9717655dd2f5b018454c7a0420dea99ca339245f

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:fe1aafaf7251b7d25f7c20d4c3046fa947414f1a1e649c2801ece9e646b21998

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=sha256:863299c34875e576486621adb7848248a5e9223fc0a0d424e69876affe9fe563

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
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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=sha256:90e5c1a1a19c79f6f879eba0b45cdc78ffa36b467fe58518f2b702c493c85ada

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.582720Z digest=sha256:7e1744c0e8cfbfe7d0e53128a48be80f3127ae445ae3aaff06849afb892e154c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.637969Z digest=sha256:920c326ca17a19c60646a2942ce57fcf117d6a5d8422ffe49a32e7111a2a3105

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.695755Z digest=sha256:2dced1840f509bc8d3e7f3f554b7fb1db17ed3487943a8aaea14e341a25cd38c

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:a16a6c78cad374cb2c2f61f5ac57c41533277782fc1fa30e69a0661ef15291eb

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:fedca6c413e59502f583593e42277e3203e641fb80799d6408ea8b956ff946cf

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:cf1dc0cd810b1fbc49331a2dd30936dff0099d9c8999c9585afa1b7b4dab1428

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=sha256:1a9361c917243defc126b4bd5b61f384734cbf6ec7bcee3a0184154ab41f0379

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.014572Z digest=sha256:5d49ef39f0ccb1dc7590f3981dfdec65a748005922aa36419d36ec54f59508fd

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=sha256:1f3e255894cc36a868d5e7a89fd2cac855dc04905932db2382fc76bf78d07cb2

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=sha256:7522aaffc18c49a48f09d9386784d2e40a50ccf330de2b54866cad7dcb6537dd

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=sha256:8fe2a0cea069a639f13ce7aeca2ec914bf62e98826e55e8cd1a77de83fb1b98f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.240244Z digest=sha256:6499de0c61b9c5432ca0c92e8888d12bf851e1f9fe35a924153af5f1321f335c

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:c5a3b6cff0fd31825516f0eba046467990fab99cf60ec5de9cc64c345ca9b6e7

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:ca962e2b90d02cad1811e593cde58d2f65ed3bb9dc4a68eb0758a14a4db2d28e

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=sha256:2d6090c1502c1af296ee35c2fce67161aad5f1acfd090da4e1eb31024631c012

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=sha256:27dd69cabd80e540609514571c1931014a505e57903d8eb43f94b91e7518c071

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=sha256:25786684e8d3e34b36c5fd6efa4be585e1cd82ed4be27a7e3956e39835d4cb59

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.586741Z digest=sha256:5c47aba723b5623cf5c0291d58ae92e3d2ce0a9795c5ef5415e33f8d5d7dbbec

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=sha256:1e6b6fe5741f70f0f072c374f543490e71d9932cd4992c5d9c597896a57f04d0

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:e35dd7cad977dae4689aa98b6e4337a55d739d6f9ed1f6909a46fe82de4ad7c4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.853174Z digest=sha256:69f3accd7a68af69e333766cc801ef243ab549cc2a858c73f85aa6b3d8836489

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=sha256:6981fbeff95c6ae3cd5c339f475c043de6a0412384d77af9f26496eb4f8ec07b

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:aa862462fc0a263210562f69e88b03153b5094095e5941dfb594c9c0016be46d

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=sha256:4c75eb187ca62c8688a4d062327ea6f35b41f90168a27e9afd0efdfbd72f9caf

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=sha256:3c7313e12f399c93b4f61df92d0f5af370bcbaf6bad233e549a4fc0a48fd1b07

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=sha256:090c9462c641f163aa79bdbac5b7087ee1d2c9ca592c55930d3929df57d78c40