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Paper Citation Record · LEDGER

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2508.18983.

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

pith.paper-citation-record.v1
2508.18983 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T21:40:41.015481Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T07:34:15.530836Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc1f75b8-d35f-4530-825d-bf168dd4e56e · outbound

This paper cites The documention of Python 3.13: what’s New In Python 3.13? https://docs.python.org/3/whatsnew/3.13.html.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution The documention of Python 3.13: what’s New In Python 3.13? https://docs.python.org/3/whatsnew/3.13.html

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.031068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:38a6ac383b9d47bff61185177b08e28059805498403e682ee46fe2128648604d

Observation 14d108c4-37e4-42a7-a444-fbd0ae6acb34 · outbound

This paper cites KTransformers: A Flexible Framework for Experiencing Cutting- edge LLM Inference Optimizations.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution KTransformers: A Flexible Framework for Experiencing Cutting- edge LLM Inference Optimizations

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.023437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:fa909bf07966801ee9865f9385d8ce17bdae4558e4dde26c5cd5176f40be2225

Observation beaeddbf-43be-4852-ae14-e149eaa3a7da · outbound

This paper cites Llama.cpp: a C++ implementation enabling efficient LLM infer- ence on CPUs.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Llama.cpp: a C++ implementation enabling efficient LLM infer- ence on CPUs

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.033933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:151f28ad5d39b001bb3bde48c775ea629e1bfe4bd88da5d081dde9c43da1a0de

Observation 5d7e2e31-4d61-402a-b010-2a1915cdb488 · outbound

This paper cites OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.009669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:516022f4caeab4c6229edca04f2d7d75ee25bef58d353a17a16c201701804700

Observation 7079222c-7ec0-4df8-abff-d6030bbbd317 · outbound

This paper cites This url describes some of the common LLM inference metrics.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution This url describes some of the common LLM inference metrics

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.003590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:bd3006e9f807cc03f1e0a94280411a2bf1c694b3d3fd755f9936775801975698

Observation 7dc19b36-eb57-470d-a646-b2d577f89dfa · outbound

This paper cites This url introduces the LLM deepseek-moe-16b-chat.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution This url introduces the LLM deepseek-moe-16b-chat

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.015494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:54e5a5adff5fba1458b8b3de03600e6057e227f9be587b079e339449c1ef77db

Observation 67c5f375-93bc-4f7c-a0f0-395cf35ca9c5 · outbound

This paper cites This url introduces the LLM Qwen2-57B-A14B-Instruct.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution This url introduces the LLM Qwen2-57B-A14B-Instruct

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.018068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:b0728ebbce8274acbe0a73a93d3aa565f156722cbcc3e9cbfecfde75f73f5ea9

Observation 6c5fd11f-d9a4-457d-8224-74680f7e2a76 · outbound

This paper cites This url introduces the LLM /XVERSE-MoE-A4.2B-Chat.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution This url introduces the LLM /XVERSE-MoE-A4.2B-Chat

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T21:41:52.006404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:9666d7d501800efd5466c8a7445e62ddb34fb089b3a1651d0a262a584a694595

Observation 74e11992-618b-4ec7-8663-2ae51c0020a0 · outbound

This paper cites an unresolved cited work.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:41:52.020742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:d074828340eef32c20cde23f71a2027f0741effd9e3359303f3a72ebb7927473

Observation 443cbb15-ff04-4b47-9e47-6451072010fb · outbound

This paper cites an unresolved cited work.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:41:52.028127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:537e8aa2b29e4398005a4fffae4650ccd9598264670409946393213ce8752767

Observation 0edbeaa8-f000-4f3f-9337-d6e564831639 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-18T21:41:51.629544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:074bb6e73696fd66565044a3cbd8f99115f79fb5a81b1b1d7e19ee07af6f582e

Observation 5fdc2581-4c9b-450c-ac97-9b00240e93f6 · outbound

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

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-18T21:41:51.623985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:6ea5d6298972195a0f06705435dc4710831c8d4868c12e0d24083186cd1d4159

Observation 9ffb80d5-e685-4559-a048-9c2bc6e2331a · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T21:41:51.614887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:bbc0299d26073f4d4e5c0d0fb3a7fb528bad9abc6c53a1aef92986b134e00ab9

Observation 90759655-0eb6-435e-9378-cb97e8b047bc · outbound

This paper cites an unresolved cited work.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:41:52.012496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:19842076da68e7522c84ce7a04e0ff1db9774e2f4c1a2437184f3a1e01d18d69

Observation c96f84e0-2368-4bdb-9679-be922e7f664a · outbound

This paper cites doi: 10.18653/v1/D17-1082.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution doi: 10.18653/v1/D17-1082

Reference 15

Resolution
metadata mismatch
doi, observed 2026-05-18T21:41:51.362042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:5011506ebb07ec88c9edfd28a670bc5c5194d5b818a0d4e3feae8f49c6b7177c

Observation 4d7896b1-9fcf-402c-a244-dc4dae9f5c96 · outbound

This paper cites WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-18T21:41:51.634734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:c3835b84778ba99b8bbf76b9518cd743a1b82cfebb014eced907befc95501e72

Observation edc8be4f-43a0-4d34-af43-b2e4dec61882 · outbound

This paper cites an unresolved cited work.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:41:52.000743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:f0e0c8e4bba1f3ae5dcd4a0a1835ecfa241419428bb2641ab05daecae6b91c39

Observation 99afde3d-5db5-4f76-b45d-6cee3896a846 · outbound

This paper cites an unresolved cited work.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-18T21:41:52.025725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:6ad90c442b4ed621e8956d783fe3d694746c2ca8585e0a4702b617d26d16714e

Observation 7645abce-31e9-4e1a-9df2-6203e66c31fb · outbound

This paper cites HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference.

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:41:51.619092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T21:40:41.015481Z digest=sha256:bdbb26af2c763eb8b4752133445a61fe5a7f2fbc126f7f2e03e98e4d928d1498

Pith citing papers

Observation bb5b9855-f544-4ba5-a0a4-7105703d5ccb · inbound

Sticky Routing: Training MoE Models for Memory-Efficient Inference cites this paper.

Sticky Routing: Training MoE Models for Memory-Efficient Inference SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T07:34:15.530836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T07:34:15.530836Z digest=sha256:f270dfdc4e0878ef373d10de2072513b8c62572705c281c418db74f2a69c4a24