Paper Citation Record · LEDGER

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.07563.

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

pith.paper-citation-record.v1
2506.07563 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:41.503131Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

23 of 23 outbound references displayed

verified exact2
verified fuzzy1
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61bfba09-3496-4edb-a43f-7f191f95d15e · outbound

This paper cites CAN: Feature Co-Action for Click-Through Rate Prediction.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization CAN: Feature Co-Action for Click-Through Rate Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.408734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90cf689a-06ae-4c82-be91-5225ef483218 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:34:42.191036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2111dfb-3199-4a9a-807f-bfdfc6627a24 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.418537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60df8ee8-20a1-4b86-b252-4068161a7c3f · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:34:42.165837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c08b584-be01-449a-a2ba-4d3ef5010682 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:34:42.151192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37aa1b8d-19dd-4342-852b-225e87d5282b · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.436374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77b2cfbb-95af-4a2a-8f90-55023cbd2f78 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.441458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3be5ff-ae12-45b4-8549-efbc3aefff94 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.445448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16ae7c2-0445-479f-952a-303a41453551 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.449459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c2984c-0eaf-498d-849a-22e49fcbb31c · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:34:42.106567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c065c597-2d38-45ab-bef3-5fcb05bb57de · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.457526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa4e310-3af8-4f0f-af63-edf3eb5718a9 · outbound

This paper cites Hospedales.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Hospedales

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:34:42.091803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f53d1646-cd95-42b6-a279-871fcbdecc11 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.465856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3856aa87-1987-4b5c-882e-2538dbd8ae46 · outbound

This paper cites xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.470005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b092c364-170e-40d8-a324-a1ba6ec2be67 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:34:42.067677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb1cd97b-98d6-4954-a417-2ef15981663c · outbound

This paper cites MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.479024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc389359-e5b2-46de-9b1d-e1e3a4b703a4 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:34:41.852185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cf42f88-a51e-45b8-b785-222c7dac09dc · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.487262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ffbbf7-c747-4e66-8dd2-e52c6fc7aa34 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-07T05:34:41.538157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 934cd0dd-f80e-491a-920b-53495f1212cc · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.495082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1314d0-0805-4364-9b1f-290e2ec5f643 · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.499193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8552914f-ea6c-42de-ab8c-c2bc0b482aba · outbound

This paper cites an unresolved cited work.

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Unresolved cited work

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:34:41.503131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dbcfc76-a8e3-4ac6-9f2d-481349196d5b · outbound

This paper cites InProceedings of the 1st Workshop on Deep Learning for Recommender Systems(Boston, MA, USA) (DLRS 2016).

MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization InProceedings of the 1st Workshop on Deep Learning for Recommender Systems(Boston, MA, USA) (DLRS 2016)

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:41.422811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.