Paper Citation Record · LEDGER

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.09519.

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

pith.paper-citation-record.v1
2505.09519 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:33:17.750796Z

measured 41 of 41 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:07:15.703970Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:07:16.907576Z

Reference resolution

40 of 40 outbound references displayed

verified exact5
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebb7e749-8d57-4658-a048-3d70647103c7 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.573749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9068aa-05e8-4700-80b6-480f71b9a60c · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.214245Z

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.

Observation decf28b5-b998-4947-89da-cb8b263f9b4a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.583791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 670ba5e0-1f27-4d7f-a376-44965ff73029 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.589079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06d1b55-c9fc-438b-ad42-47c299489f90 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.593929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e4201b-364d-4b3f-8351-b2e4125b2818 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.598809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831bd7c4-36b4-4c8c-8699-337b2c4ff3d3 · outbound

This paper cites The Llama 3 Herd of Models.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.603648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1faf2f-931c-46c2-9025-9a9a7478b7d0 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.608488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91eb380-aef2-4699-b079-e2c59afd08d1 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.612709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a46464-2c52-420f-826a-f569ee6c892e · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.617141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b9138b-8ecb-4bdb-ac8e-533951382c6d · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.621474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e79f347-0bbd-4cc7-af7e-1dd042031e88 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.627649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bc4370-59ca-4359-a5a9-98c740dbe11e · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.631910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4a4f06-ec4b-43e9-ad47-53e461fbfe7f · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.636199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02b5f58-38a6-41d0-94a3-68c409680679 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.640753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51fda490-f157-49c7-8050-fe6709dfa92a · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.645553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513f4d0f-b18f-4ba0-aa9d-8a64ffe159bb · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.181417Z

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.

Observation e6e6b8b0-11a4-4cce-bb94-e81c8cf688eb · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.167110Z

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.

Observation 7d697c6a-c733-4bd9-9d5e-255e4f2b7fff · outbound

This paper cites ReasonGraph: Visualisation of Reasoning Paths.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning ReasonGraph: Visualisation of Reasoning Paths

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.659258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6ea770-43a0-44a1-86a5-1ca9ee279a31 · outbound

This paper cites 500xCompressor: Generalized Prompt Compression for Large Language Models.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.664050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3d9201-edcf-4f8f-ae77-c5da3b21b84b · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.668840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7bb1fa3-63de-482f-8918-2727ad4c0766 · outbound

This paper cites GPT Understands, Too.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning GPT Understands, Too

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.673215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f45f52d0-aa5b-4730-927a-0751b48a4828 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T21:33:17.895174Z

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.

Observation da792590-6c36-4127-8e9c-f6e08fb7f63c · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.682032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 611806d6-69bf-4db7-a520-c68fdb26cbfd · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.152918Z

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.

Observation 683ef3be-304c-4eb9-911e-de3222a7343e · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.138467Z

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.

Observation edb2eb43-4571-447c-9c32-c0f9b74e1035 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.695173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1da9fa9-3564-4cb2-8e42-6b07927028d2 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.699814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba63db1-a888-4c2e-a36a-1156144a4de8 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-15T21:33:17.854247Z

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.

Observation e7c09c4c-5007-4d8e-94fe-9e1fa8a6bf9f · outbound

This paper cites Khapra, and Karthik Sankaranarayanan.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Khapra, and Karthik Sankaranarayanan

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.708363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f11730d4-3807-490f-8c36-7357138789ed · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.712818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e1d053-b7b5-4431-aaaf-0f735ad390f9 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.716923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c4fa67-0ce4-4ed0-b355-336e78ce64e3 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-15T21:33:17.823100Z

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.

Observation 346791f1-d23d-41ea-af8d-40cf90941814 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:18.114742Z

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.

Observation dc978a00-66c5-4309-89b7-605945ed0fe7 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-08-15T21:33:17.809114Z

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.

Observation 290eb41c-d913-44f0-bb26-35b67fd04f70 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T21:33:17.795283Z

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.

Observation 44c22059-5cc4-4dba-a2d6-a93545ed98de · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.737992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def6b241-a612-4857-aa21-1d70efe5f287 · outbound

This paper cites an unresolved cited work.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.742069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99710a57-7c1b-4bba-a85d-5f4898813def · outbound

This paper cites online" 'onlinestring :=.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning online" 'onlinestring :=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.745958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cb8d59-881a-482e-8181-a3f08c651bf4 · outbound

This paper cites write newline.

PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:17.750796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 37d6c7a0-cbde-4473-946d-16627c976d2c · inbound

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper cites this paper.

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning

Reference 2012

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:07:16.990337Z

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.