Paper Citation Record · LEDGER

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2607.16721.

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

pith.paper-citation-record.v1
2607.16721 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:12:55.860038Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:28.191297Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:03:30.739454Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 352d2de8-cce6-4eba-b149-cdc0bde62f37 · outbound

This paper cites Gemma-4-26b-a4b.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Gemma-4-26b-a4b

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:52.580356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d706f8-13dc-4b5a-8a84-c3193233a5a8 · outbound

This paper cites llama.cpp.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding llama.cpp

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:52.713166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7e349f-a0f7-41fc-b29f-b336fc369f13 · outbound

This paper cites It Takes a MAESTRO To Prune Bad Experts.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding It Takes a MAESTRO To Prune Bad Experts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:52.823776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f69806c3-9873-4e0b-9904-71376a6b85f6 · outbound

This paper cites Less is MoE: Trimming Experts in Domain-Specialist Language Models.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Less is MoE: Trimming Experts in Domain-Specialist Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.058134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f165d6b-c332-4508-9036-1deaeb51ee80 · outbound

This paper cites REAP the Experts: Why Pruning Prevails for One-Shot MoE compression.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding REAP the Experts: Why Pruning Prevails for One-Shot MoE compression

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.162430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352c5c68-993b-4673-8b6d-9112cf21ede2 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.304097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0884d0a-b1c8-4dcb-b3f9-6ae5295b536a · outbound

This paper cites AIMER: Calibration-Free Task-Agnostic MoE Expert Pruning.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding AIMER: Calibration-Free Task-Agnostic MoE Expert Pruning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.449673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69dcae6-17f6-4c05-a619-c0f37eb267e5 · outbound

This paper cites How to score experts for one-shot MoE expert pruning: A unified formulation and selection principle.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding How to score experts for one-shot MoE expert pruning: A unified formulation and selection principle

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.551056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ff4168-c20b-4e46-a04b-be264cf3eda0 · outbound

This paper cites Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.668056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb03ba2-59a2-446d-8664-50c67b649ff2 · outbound

This paper cites Qwen3.6-35b-a3b.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Qwen3.6-35b-a3b

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:53.802987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b4de13-9f63-443b-86f6-b70fc52b8040 · outbound

This paper cites MoE pathfinder: Trajectory-driven expert pruning.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding MoE pathfinder: Trajectory-driven expert pruning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.071977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2231787d-897f-4144-92d2-f2fce65e078c · outbound

This paper cites 2025 , note =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2025 , note =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.160544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 917b2ec7-1c11-4f8a-a19f-009a5cab136b · outbound

This paper cites How to Score Experts for One-Shot.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding How to Score Experts for One-Shot

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.277770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3738a914-2fed-4be2-b9d7-6db6fb67a780 · outbound

This paper cites It Takes a.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding It Takes a

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.387798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2432ab2-3d10-4004-ba9c-97c291cee8f0 · outbound

This paper cites and Bandarkar, Lucas and Peng, Nanyun , journal =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding and Bandarkar, Lucas and Peng, Nanyun , journal =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.517263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ae2034-66bf-4329-84f2-13fd5deb3423 · outbound

This paper cites Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.720255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd22822f-bb01-46e7-9e11-09a142bb3286 · outbound

This paper cites On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.857282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b34386f-55e1-4ebf-ad18-5308acddd6da · outbound

This paper cites Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:54.957553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc72edff-34b9-44be-a329-1f2127591136 · outbound

This paper cites 2025 , note =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2025 , note =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.091245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64820e25-5320-4106-95d2-b1cd0225d6be · outbound

This paper cites 2026 , note =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2026 , note =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.190473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4950115f-94af-472d-96e2-6db27a57c8b1 · outbound

This paper cites Is Your Code Generated by.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Is Your Code Generated by

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.284993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb764380-ed4b-4d62-924f-984f92e05391 · outbound

This paper cites 2026 , howpublished =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2026 , howpublished =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.418297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08eac1e7-9834-4c28-9287-417d8094efce · outbound

This paper cites 2026 , howpublished =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2026 , howpublished =

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.555991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79824fde-4df9-48c0-b89b-d7a1cd7890f9 · outbound

This paper cites an unresolved cited work.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.702334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577af1b1-ba08-4dbd-a708-2b620858ef2f · outbound

This paper cites 2026 , howpublished =.

Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding 2026 , howpublished =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T20:12:55.860038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ffd6a906-a2be-4cf2-84d5-4aff160bd192 · inbound

When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning cites this paper.

When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T01:03:30.852728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.