Pith. sign in

Paper Citation Record · LEDGER

PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.21571.

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

pith.paper-citation-record.v1
2407.21571 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:41.338420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T16:35:09.922336Z

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 aa47dae1-6c88-4483-84b9-3978c2c81553 · inbound

Memorization and Knowledge Injection in Gated LLMs cites this paper.

Memorization and Knowledge Injection in Gated LLMs PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:41.338420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:16:41.338420Z digest=sha256:efd3fb822f86029e2a2c86ebdf4ae348cc3a9d4ecd55e6f3c0d989ab62aefb66

Observation d86894ad-3557-4725-b60b-ce7280801051 · inbound

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction cites this paper.

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:25.973589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:25.973589Z digest=sha256:b6ec9ffbe6d7d31fdae62df399bdef45aee96756dffe417aed194f3505a0a945

Observation ac58083a-d904-4748-a9b7-e61c4db7b964 · inbound

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning cites this paper.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 1991

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:29.805992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:29.805992Z digest=sha256:b2979b8d1d3e44a7904a633eacef98fad6593c79f0a23c21ae0a7c7d34d24020

Observation 9b6b2a03-e5d1-4dd6-8608-b6ec64f3c67d · inbound

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning cites this paper.

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:30:31.779008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-25T08:28:39.748595Z digest=sha256:ca6966fb917332dd379a30b399b0c7698247877c2e3d22708b4b0bb67b068214

Observation 0036e1c9-31ed-4165-bfdb-1514605264fc · inbound

RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations cites this paper.

RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T16:35:09.928213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T16:33:14.737026Z digest=sha256:aac1d51997d937c6190238de35aa2e99d5235dddc483ac3a1e756e899a5d8933