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Paper Citation Record · LEDGER

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.28516.

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

pith.paper-citation-record.v1
2606.28516 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:39:29.681621Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f83b7e70-10dd-4438-a13a-f96b92fbf7df · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

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verified exact
local_arxiv, observed 2026-06-30T03:24:12.965661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:313a95a0156bf1928bc8a7c5237db1c0a5d04ae5039c79fc56b73b7f0cf5584f

Observation 03ee17be-092f-4ce3-b746-d7ab7f75b16e · outbound

This paper cites Scaling vision with sparse mixture of experts,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Scaling vision with sparse mixture of experts,

Reference 2

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no resolver link, observed 2026-06-30T01:39:29.681621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:80b465e3231af1eee0a0248f0ad362bf2804ba90ae72fb1f6dbcd278b8053768

Observation 977c3e89-11b5-402c-8d8d-c21940a893a5 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 3

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unresolved
no resolver link, observed 2026-06-30T01:39:29.681621Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:4d794ee2adc9ca8708e4d5d9957384d4652db67d7f1bf6225a71f4cf51e5a7c3

Observation 3b57dadb-ed70-4f0a-b5e0-70f06fbe386c · outbound

This paper cites Adamv-moe: Adaptive multi-task vision mixture-of-experts,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Adamv-moe: Adaptive multi-task vision mixture-of-experts,

Reference 4

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no resolver link, observed 2026-06-30T01:39:29.681621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:f8f1e54f3ddebd88ee82844453d91534089c2efe5027239af4918dc238e51c00

Observation ee3d8120-0321-423c-b20b-1f0a76239a26 · outbound

This paper cites Moefication: Transformer feed-forward layers are mixtures of experts,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Moefication: Transformer feed-forward layers are mixtures of experts,

Reference 5

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unresolved
no resolver link, observed 2026-06-30T01:39:29.681621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:9617181d836f5994d1a2dfda186ae00004a6804c6c2a0a8bfb07963616b578c4

Observation 6a24c286-6dcd-4f67-86ba-4f1892bbb82d · outbound

This paper cites Exploiting activation sparsity with dense to dynamic-k mixture-of- experts conversion,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Exploiting activation sparsity with dense to dynamic-k mixture-of- experts conversion,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:91d9cca7012d7492a912ceeb4917c765d7e8138a11f89331b5642ae9abe9ea63

Observation d2073092-f490-4894-ba08-6d98b6206114 · outbound

This paper cites Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:24:12.968335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:1c98ef877e378e1ef9554aabd9f119dafd3813a05eda93e67ec03b575c670281

Observation de8fa8a1-749c-4262-8b6e-195bf25de0c9 · outbound

This paper cites Sparse upcycling: Training mixture-of-experts from dense checkpoints,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Sparse upcycling: Training mixture-of-experts from dense checkpoints,

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:0136424fd5bea8695e1964adaaeea53fcf8eac1c3d5840b40fcfdf776a77637b

Observation 73512ce1-ae04-4fb9-9853-4195c1abd727 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Dynamicvit: Efficient vision transformers with dynamic token sparsification,

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:cf3b39f9b8e173bd52b112ec1765c610e2abd593bc73a62e2230e8127211da93

Observation f625c2b1-6c56-4340-97b8-bc2b54b0ec47 · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection A-vit: Adaptive tokens for efficient vision transformer,

Reference 10

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unresolved
no resolver link, observed 2026-06-30T01:39:29.681621Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:650f80f288629aea7a67968ea0509e96ddf14e089bb2f435abd84df99da85202

Observation 6227118e-132e-41f1-adae-0eeb33b71517 · outbound

This paper cites Tutel: Adaptive mixture-of-experts at scale,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Tutel: Adaptive mixture-of-experts at scale,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:c3983dd092ec836fc7b2b30e8fc02afc2d9035a4132be82aba8d5141ef70346d

Observation de2d1ba3-8e04-45bd-a645-a0cafc6483a9 · outbound

This paper cites Optimizing dynamic neural networks with brainstorm optimizing dynamic neural networks with brainstorm,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Optimizing dynamic neural networks with brainstorm optimizing dynamic neural networks with brainstorm,

Reference 12

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unresolved
no resolver link, observed 2026-06-30T01:39:29.681621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:a5ab83546733602658c0f35c2eb56665f41634e7fda2a0049da88f553587c6c7

Observation 5ce20255-28d2-4458-a19d-de41abc5d6cc · outbound

This paper cites Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 13

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metadata mismatch
arxiv_id, observed 2026-06-30T03:24:12.963379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:98a054422e17ba4ebc013f073d056520e69f661ac62a5b045da1a99bed1a7b58

Observation 93c2f2ff-8938-4c54-8ece-71b8a1ff3490 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 269456940.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Available: https://api.semanticscholar.org/CorpusID: 269456940

Reference 14

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no resolver link, observed 2026-06-30T01:39:29.681621Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:cab434b45e99ee52366131d8d72ae091978cf9dbf7b934f4be86afd8df73f802

Observation b5dbdafa-f6d2-42fb-80b0-cc0038e7712f · outbound

This paper cites Mixture-of-experts with expert choice routing,.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Mixture-of-experts with expert choice routing,

Reference 15

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unresolved
no resolver link, observed 2026-06-30T01:39:29.681621Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.