Pith. sign in

Paper Citation Record · LEDGER

Pruning General Large Language Models into Customized Expert Models

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.283204Z digest=sha256:f03b28f0c3f4a2370f645479c2f0aa443adb658ade0f1dfad778365f687e04ae

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

Resolution
unresolved
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:ba498170b8ff8cbf4585f4eed59546d8aff7d9e83b9a1927449f47a2b73a88a4

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
unresolved
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:bb3c6a631e0dd74acc690187acc44dd68d9673ac8f5ae7f0f9481d2d60e91961

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.513130Z digest=sha256:b1fd34c0492bf9a9f494cf51ba5b7cd7b4e2eaa36f42820265daf7462c5e07c2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.601065Z digest=sha256:5efcac126dc03038d0b8154eeb12e43d2ca73efa7542617843101438efc5663d

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.710760Z digest=sha256:9fcc63e47a8a2e243963b6e14b82d6c42c1cc05af1550ae39d76802a078b9c3d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.788953Z digest=sha256:2a9045a051a30a50f8877639284d3ab03bbd8f8a22d1c2329529fcd3b86ff255

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.892219Z digest=sha256:7fb62beaf22c8d4606e66be95476e637ab6724467cb3b0ac934a72c5ae9c4706

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:12.984095Z digest=sha256:9e14ead7c0858ad894f704e79825b9fd33d9049df44d3433c6947d7d879c1402

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
unresolved
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=sha256:476041bb0fc92225645b81827b05f96f942ca06b512d7c0925a21668f7b05b65

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

Resolution
unresolved
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=sha256:6922258043757b13a5198ce171f04067716d7ee0a86ab89486fb6a20a9ff4b68

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.197492Z digest=sha256:3d8ed3444c9cab24e7c308925086bd67c9b3f4a29da3845e48e9a9d79e6fe2bc

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

Resolution
unresolved
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=sha256:64e8e2645077797bfc1368adaf0776fdb40b5d400d3af493121f3202531147ab

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=sha256:068aad8eb77fdaa0e3e0e6f9d473abe1ab5ef8a1c869d4426060c1c0c77317df

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=sha256:533659ab10a04bd7815389b34ff32fe2d6896b756427a69eea003d39bcdd2aff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.482935Z digest=sha256:c5784f7a84428deff77032466b9e28ed69dc49d7deeae0779232489b3ca33921

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
unresolved
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:a79cee8bc3c89fc52cf8f042a9b5f899457cf35d483a9b4d75ea0ee20028b589

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
unresolved
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=sha256:75ea28e0a8cbf2ff79d867420195250686181a5b5a6621a859a4e990dce1babd

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=sha256:62b656fb69bb593a051eaa6f0363cc64e624735f77b8ab5414ed62a744a361d5

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
unresolved
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=sha256:6c80d40775ac154e36814a03f148ad43dccb7e3c3eb4bfcf4e7309942f1f85f2

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.899436Z digest=sha256:c755574118a6a5b016ff63651e8a96ea9f91571ff9125ba8f9a2cd74c592282f

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:13.954356Z digest=sha256:7407908f876f4bf2cafe802e324dee436e47e92c2f06fc029a55a55bd325e4d2

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
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.024851Z digest=sha256:e939db0f5e8c65477f845886a813bbdcdab0d34d894669f9cfa99ddf83558df7

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

Resolution
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=sha256:92b53df7e3d5156b3915d30b624588d6fa2f0e0b4cd37168a66904bc9a0b12ee

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.186667Z digest=sha256:c0811359bf3c4fc03317277e313b3034b7856a9106090e65ef0fa44e4c086902

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:27:14.258704Z digest=sha256:90815412875b28ead89ce12867658232e43131b0b63358b8491d6bfb477dd733

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

Resolution
unresolved
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=sha256:2351c826684ddabc7ad3b859771d155796f7e0bfcdf646af50de92d8ff2bcb67

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.419614Z digest=sha256:16dc2fe3dbb925ab858b6b7a24e6b45c39128f6ae75f9bc9f41d4f2fe875da25

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
unresolved
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=sha256:0c46baaf6120643a385b1cc14e33d50a3ac49ce20ae09248af18b6961c8101ed

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:14.588529Z digest=sha256:dabf4abcc6467e52fa657db1ec2a64ff4fe5fa48bdcfd036a975eb059f53c015

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

Resolution
unresolved
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=sha256:4a2d1e7628aef3790da5fae200d1acecbe38e01b6be7c0a1101874c170924cd1

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=sha256:962c749acb8be2ce7ac48cc6f4fd94dbc223ab95a8177bcd111dc8806760a7ed

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

Resolution
unresolved
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=sha256:98c7e337b3fb7b1b3ee82034b49c0f492ebfeb023e1fe8b1eea8ff0a80e82e5e

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

Resolution
unresolved
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:b2bdb4d44d491999c12b60c97e52ff63dba4d50907fb72f39ea340b97b67f7fc

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

Resolution
unresolved
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:ddaec4ae00573c6bfaa62f2bfe12974cd14a513ab51f0aea73f0742057b7c931

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

Resolution
unresolved
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:f33daead7f0b63485dee589bfd801af4420a766c8057a54f5bff07a391cb7024

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.101779Z digest=sha256:6633e171b686c2b3e8645fa86f70ac56f06e9b7ce7e9d375724682054095eed4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.174250Z digest=sha256:d75234069783369fb439bd18d8b892b588dfd416baf9ce766d4a505a14c0704a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.243961Z digest=sha256:6d69af3821978aaebf9e7d31a2050b1594f82e2aa63c36a28254027b33d934ad

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

Resolution
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.325507Z digest=sha256:126f38ed3267aeee2c49012dd448422166b90f5a6d14229cd374eed1e0c2a404

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=sha256:5b1aa64cbe75bcf12b78f9c3ce5327b5fa38a7a993a9074e774141657e2f2426

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:b3e1fc73ba3ff22b076f92885847919ff44c1dc4c429e460a6b90738fb5b7113

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=sha256:63b5103a16df61a2f4299559cff6ac3efb775c6d716aede0fdceaa1898130394

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.582720Z digest=sha256:a04fd3a2f50dd0e433a157f00d035dfda6aac53828b5036faba9684a17cbc68b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.637969Z digest=sha256:c2b6823395ea12d0308fa45fe13e4a8ab85f39eb4683ca9c7054c66693985d6d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:15.695755Z digest=sha256:b05492dbce95275b6bafcf942bf4c2c8b102958762858d1d2aa285f2e1b82db8

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:b53aced3c506831d89173977e242d17e4c4b18a71c51ad388ed88125fd53fc5a

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=sha256:12c2b7b88fdd9c499fad8a97bbee9e42c4239cc5887454ef43a3679a9f42542e

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:f705f06e20fd2821c1e17102cb47dad5d4f03696a17213374d08173ff427d96d

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=sha256:500490d0169d5e7f42dc65fdbf5ee16e5ee57723a68a216d06036ec6327cc131

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.014572Z digest=sha256:f65be011729d8d2dd94545ca3854393d329925192f2d2e126b0157b67d74e350

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:bfdcea6c931f78f6a1395082f1da300bbc92108404827e1247c1d8f310a4ef96

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=sha256:867d71c1f6cc4499c9500d63c384f06350d979673302e2989341a2a0e3c410b0

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=sha256:7c2b991dcfbbd2d2c9652178cee6a126921e7aa702c90362e16b89164262d0a5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.240244Z digest=sha256:66d36c185dccd2895aaa4f917573a5a53f0000389377fdf2c8f72f302626600f

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=sha256:213344b8825ab086a79258eaebadf7143c00ca0e8818efb898fab01c314bcf9b

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=sha256:1fe856e9f378ec7193f70c67278cc3023aeb3981bff0b4a64f5f27952b961a7d

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=sha256:66b2d3a8c0ac9f82fde0ceb4f06b14161c14a9206b6fb0b7ad4adc4c5c2f690c

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=sha256:1fce9e1651659d9eef93b87aad1766b93aaec048e202748c1faad9c0215d8095

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=sha256:7b53913de1e716a6a044c492d221647a1723858af7d87af3ad79b5f60f29e6ad

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.586741Z digest=sha256:a42e8b7f288188358b720e63fc31bc04e891ace7a5648314a43fb7714b609ddf

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=sha256:35a8c5fbd7dd1ce8d72357e0c896ef3f49e2f21a771154e9ce0ebeb79500c62f

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:c0261935202a80605c102308914ef235fb1dd8e87f3391866edf6932eb2e41b4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:27:16.853174Z digest=sha256:a89dcbabb773199d9b403e7620064da25e1f36d69264b6e7bf3fdbc106706572

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=sha256:0174ae0723ae8c516a42b082765345f6734f0b3bded95790a5cace51d16e056c

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=sha256:0d5f272b47ed3508ac4667f04fd27c9e066c677e2b58feb51a8f3c7ae0f7d50d

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=sha256:4c4f48f75b8512cacf444b42f65d54aa1a2348c21cd6e281c7a3cd73ab2d46ac

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:a2a9e4cdfa19d9910b39bbb7308e2d4837b506829d037f848c4ba18a8dfbee98

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=sha256:2d04fa0c7749ba9c8eda9a54536d6c84ff9277ab62ce54b6d667f4a066fede9a