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Paper Citation Record · LEDGER

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

As of 7 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2604.06515.

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

pith.paper-citation-record.v1
2604.06515 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:32:03.453824Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:38:38.544125Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e473d4b-1edb-4f39-b52f-4b57d0eb1f0d · outbound

This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees MathQA: Towards interpretable math word problem solving with operation-based formalisms

Reference 1

Resolution
metadata mismatch
doi, observed 2026-05-10T18:35:42.937515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:abf1a04ce63f374cea8fc406bd8ff0ec682ebf990da4bba4688566782939050c

Observation b7ac14aa-1224-405a-952c-791f36dea011 · outbound

This paper cites Table 5: Avg.

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees Table 5: Avg

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:25:51.466210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:b9b14db2ce2e0edb38a4894aa610fff1333330ef0346c63b6cf0988d6fca3228

Observation 4a08913c-bb6f-4410-977d-8952eaca09d6 · outbound

This paper cites an unresolved cited work.

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-16T18:43:17.296518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:885d3b9fed110a498928e58522e2c5703aeb8b34d3fa5909a12d3a1303db3a31

Observation 9ec8e7de-228d-4dee-9600-31a2b5fdb2da · outbound

This paper cites 21 Published as a conference paper at ICLR 2026 Definitions: For anyq∈ P\{o 1, o2}, we define the activation of the experts∈[k]byqas, σ(s,t) q :=Pm r=1 ReLU(⟨w(s,t) r , q⟩).

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees 21 Published as a conference paper at ICLR 2026 Definitions: For anyq∈ P\{o 1, o2}, we define the activation of the experts∈[k]byqas, σ(s,t) q :=Pm r=1 ReLU(⟨w(s,t) r , q⟩)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:43:17.303404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:ed506d78c0c756a7e7b10b0a14a74e7e9cfb7cd81119b7837dedab32dfaf64de

Observation 7c964fc3-4734-4497-a0f0-7e3968a9dd00 · outbound

This paper cites This creates contradiction.

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees This creates contradiction

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:43:17.299870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:57fec935b17daf7facca3dfb5767cf7acb8d04475f3438c32ad3d0f52f8002bf

Observation 2faf4d21-e6e4-4d8f-834d-639314ce2dc9 · outbound

This paper cites Therefore, for any(x, y)∼ Dsuch that∃j∈[n]withx (j) =o 1, P s1∈So1 f(T) s1 (x) = Ω(γo1 mlC2 s logl Cp ).

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees Therefore, for any(x, y)∼ Dsuch that∃j∈[n]withx (j) =o 1, P s1∈So1 f(T) s1 (x) = Ω(γo1 mlC2 s logl Cp )

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T18:43:17.292866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:32:03.453824Z digest=sha256:60223651b3fca206924e29136683b960177f32255a7bc883815a110c53657935

Pith citing papers

Observation e8e163ab-eb6b-40af-acf9-173604ef4844 · inbound

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation cites this paper.

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

Reference 121

Resolution
unresolved
no resolver link, observed 2026-07-30T23:38:38.544125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T23:38:38.544125Z digest=sha256:349099b9e60b849342bda03f4871b70269c03745ef53a6052326c25fcbf31d6a