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Paper Citation Record · LEDGER

DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.01359.

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

pith.paper-citation-record.v1
2503.01359 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:01.700298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:06:15.338165Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80d43e2b-f7ff-4737-b777-59e432f1cc11 · inbound

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models cites this paper.

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:01.700298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:22:01.700298Z digest=sha256:24e0131fe13a0fead794b55359a6e42373ca34262eb6e42d2e981e3b8b12ca6a

Observation aaa6fc29-b65d-4719-b226-965d57f32894 · inbound

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities cites this paper.

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T06:07:18.668681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:07:18.668681Z digest=sha256:62847cbc473138cef0ef9e5e27b4829d5d784df6caa7c38001cbd1ab898ee7db

Observation 0b6b33a2-3f54-4fbd-9438-dc22301a1ed2 · inbound

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning cites this paper.

Hecto: Modular Sparse Experts for Adaptive and Interpretable Reasoning DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:51.254870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:51.254870Z digest=sha256:cb8a430ccf5c6f3074cd7c6e56e7998921d596410b4cfe8ddc4b64da23e9d972

Observation 13904cdf-29d2-40a9-8d10-38f28ad1cc88 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:29:21.487641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T03:29:16.555166Z digest=sha256:66ba0f01a09e221c12af0b7704a47bd5d5725af07bc5bf6bb40fba5932c64512

Observation b355a0f0-c942-4893-8391-46446601648e · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:06:15.339796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:03:02.654035Z digest=sha256:47930388108f8d5eab94c31dac5850e09de5557b49a42c432a4ccd90429d7a50