Paper Citation Record · LEDGER

MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.14976.

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

pith.paper-citation-record.v1
2309.14976 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:30:02.229276Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:47:02.168636Z

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 e9ed9ae7-21e3-4bac-b9ad-3545f7353df4 · inbound

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift cites this paper.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T17:30:02.229276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecb8ed5-80a7-4b20-b5e8-38c457384369 · inbound

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection cites this paper.

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:50.018650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3d502f8-03aa-40c3-a504-2ba4d9dd42e1 · inbound

AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.

AlignCultura: Towards Culturally Aligned Large Language Models? MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:04.945361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17d2e3cd-becf-4454-8ba6-429f5413d79d · inbound

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition cites this paper.

FaceMoE: Mixture of Experts for Low-Resolution Face Recognition MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:35:42.221550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e019e4e2-c007-4f00-bb6d-31b7f544d3c7 · inbound

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting cites this paper.

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T10:47:02.169843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a013113b-5a47-405a-96fd-79d1f6e4688f · inbound

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting cites this paper.

On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-14T15:37:19.276654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.