Pith. sign in

Paper Citation Record · LEDGER

Sticky Routing: Training MoE Models for Memory-Efficient Inference

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.08780.

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

pith.paper-citation-record.v1
2607.08780 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

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

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 124ad6e4-a37d-4612-9e20-b1a3515db5bc · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference International Conference on Learning Representations (ICLR) , year =

Reference 1

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=sha256:09a6a0dfcb9d97e38f1d63bcd3e55580930bc3ebe6e74275e1bef9ed8da36b43

Observation 9596f9ae-7be4-415b-b464-f5f0ca5004c1 · outbound

This paper cites Journal of Machine Learning Research , volume =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Journal of Machine Learning Research , volume =

Reference 2

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:a8798be13974ad5600bcceef9be896762743ad83db5429112b75ff4f6f361954

Observation 634e2a4a-acde-4f96-aef2-9d956d9773af · outbound

This paper cites an unresolved cited work.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Unresolved cited work

Reference 3

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=sha256:017f090a6198c0c7de55bde87690852d31acd0fc8c321888e845ebc40c42f797

Observation 45b0c8f6-0db7-4326-b610-d7efe53d58f4 · outbound

This paper cites an unresolved cited work.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Unresolved cited work

Reference 4

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=sha256:9bf6eb784e509483425b2a5e2278251729688468aebb4848b8ddcec733d70220

Observation 9fcfae56-6d63-4f4f-a5c5-188e60ef23d9 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 5

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:b0ac333ca3fe922903eb6c502224e6d994c2de392bffb920e60be93f4f825a98

Observation 69f5f9ae-0ee1-4e88-aa24-ee8d2c480151 · outbound

This paper cites Mixtral of Experts.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Mixtral of Experts

Reference 6

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=sha256:5db6dcf94e1a9e10c557916f7c97849636df438ce2d771930ceed03d9011bbfd

Observation 04b49ec3-8851-4875-89a1-c6acf37be5d5 · outbound

This paper cites and Lv, Qin and Zhu, Rui and Zhang, Chun and Yang, Fan and Lu, Tun and Gu, Ning and Shang, Li , booktitle =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference and Lv, Qin and Zhu, Rui and Zhang, Chun and Yang, Fan and Lu, Tun and Gu, Ning and Shang, Li , booktitle =

Reference 7

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=sha256:05c20d5eccee2bcd3ccdcbaafa0b76779adb03841dd8ecfb5c1348c91a1574d0

Observation c18475df-10cf-4ca0-86ea-1845ab5b2fba · outbound

This paper cites ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference.

Sticky Routing: Training MoE Models for Memory-Efficient Inference ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference

Reference 8

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=sha256:4365af43703a4a30d87bc05c99a28af9cc296783c6bec750f16129ca65f4cfaa

Observation 3c3e7ae7-0775-4259-ab23-968da6ef3d1f · outbound

This paper cites arXiv preprint arXiv:2505.16056 , year=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference arXiv preprint arXiv:2505.16056 , year=

Reference 9

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:cafa2cc8fbeb848bcab166a210dbeb4171934b8916a227967fcfd1e45dd11bf6

Observation 6137cece-6c35-4114-91b3-961a8103c0b6 · outbound

This paper cites an unresolved cited work.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Unresolved cited work

Reference 10

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=sha256:2d60a0c3f033655462431aa54a97c682416090f8e1bed8e940c42dd5b561d7e3

Observation 911d8eb6-408a-4c8d-ab63-fe0bf0eca435 · outbound

This paper cites Fiddler:.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Fiddler:

Reference 11

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:ebb50d4a670ff7886adcccaa017b00e426f10fbe17737d3a4023235ea44d3f2f

Observation 94268baf-1e3b-4b72-8c91-cd5f53e30dbc · outbound

This paper cites DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance.

Sticky Routing: Training MoE Models for Memory-Efficient Inference DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance

Reference 12

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:e328c458d9de58cf225241445d74a1aeca81bb6cfb71a3810d1089c7788add5f

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

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

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=sha256:40023e370aef190e974996f63722c113f1dfcf4887f6ef5042b5cd667a821e52

Observation c60a2889-5d1b-470c-8c81-2fac8f6d6edf · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 14

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=sha256:3e33ba419203bdee4d030f63f27515540bd5b0c2ad137801554f0b9a3f92959e

Observation 0ac4d876-6ac8-444e-9dbb-6b49a74bf6ff · outbound

This paper cites Pre-gated.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Pre-gated

Reference 15

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=sha256:59d5837332ec46d69ca39db292cdaa7a82cb771e92bbd61b09137945b4ec5d15

Observation 3703a241-6352-475b-ad8a-7c2cab510cac · outbound

This paper cites EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media.

Sticky Routing: Training MoE Models for Memory-Efficient Inference EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media

Reference 16

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:ddc2994c980b30b4367057d1db74febaff3be45d1c3cb8b6899d3f08806310c3

Observation 8dc5b7bd-2d3d-424e-adb2-fd3e18fd0043 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference International Conference on Learning Representations (ICLR) , year =

Reference 17

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=sha256:9390e9ce996b036f34e5a5f9a8fc2ef8ae049f7e8d502db74526b66f41a2d040

Observation d778207d-8c9e-4099-a023-c49500d78e42 · outbound

This paper cites an unresolved cited work.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Unresolved cited work

Reference 18

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=sha256:62438a72366b2ca67a65011b2f4eb2b000679265d8455fea2b3cc59ac0814e50

Observation b2e12cca-16c8-4a69-b78d-6ce6052dfcbb · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference International Conference on Learning Representations (ICLR) , year =

Reference 19

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=sha256:6224aeaf8d9fbb5032bbdd446509efce0fcc8dc1a86552a5764952698f6c52ee

Observation 2b3929b3-6bab-4346-bb70-ab6d65a995e4 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 20

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=sha256:70406c2f7b8cce45d6a373260a99aa29a734544016a36341d5393ab9d2584386

Observation 719e297c-fc0c-4196-aba1-9b6945fb4d76 · outbound

This paper cites Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts

Reference 21

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:ccbd877263a9cc7641da81af88240f98f61e499f3222b659489a6d9223ab1171

Observation 6c77ccbf-1fc7-455e-9518-3f611790bf52 · outbound

This paper cites OpenAI blog , volume=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference OpenAI blog , volume=

Reference 22

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=sha256:8e8034ac4f205fff92130b09c975de30a6c69c144ed22bc3bfd5c1b431aa9853

Observation 3748a49a-57bd-49c9-835a-d4f3d30c728f · outbound

This paper cites Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=

Reference 23

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:e336865d0893dff73cf91688e267513ab0fab132d04eb6fcac334a9dc1bfdcc5

Observation 28ac1096-5a0c-4896-af73-e2a4c5777f08 · outbound

This paper cites 2018 , publisher=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference 2018 , publisher=

Reference 24

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:c3e05d98649ea7de6e755c031b1e778ecf49ec56f644d0a1976a6b5a892c0a75

Observation 85aeb579-d3ab-44af-ad55-2baced0e2a6d · outbound

This paper cites Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers , pages=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers , pages=

Reference 25

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=sha256:85045b159ac4a8cd8e3e968480e6149e666cc7cf581d88ee5dccbcd7ef0519c7

Observation c0631911-88a5-4fb7-8799-8fc4e6ee9311 · outbound

This paper cites advances in neural information processing systems , volume=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference advances in neural information processing systems , volume=

Reference 26

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:f63f70ebd04e670d17825d58047eb54b80a14c555f4c3b5a221faaab570573eb

Observation d5fd9d23-6fbf-4139-aff7-9d6179a83cf4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Sticky Routing: Training MoE Models for Memory-Efficient Inference Advances in neural information processing systems , volume=

Reference 27

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=sha256:7baea3d1ad47fd603384615bbbcdeabe2f921641cf4f140c34a9749910e7b64e

Pith citing papers

No inbound Pith citation observations are available.