Paper Citation Record · LEDGER

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.11180.

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

pith.paper-citation-record.v1
2508.11180 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:29:57.865008Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy9
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee363c59-0b56-400a-a25a-93fe07510d62 · outbound

This paper cites We will further explore extending the framework to multimodal learning scenarios (Wu et al., 2024b; Huang et al., 2025) in future work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels We will further explore extending the framework to multimodal learning scenarios (Wu et al., 2024b; Huang et al., 2025) in future work

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.288143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e0f052d-4581-4266-9baf-eae5a2d3c080 · outbound

This paper cites Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.769039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70149898-d428-4688-b492-406ed3289942 · outbound

This paper cites submit-answer.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels submit-answer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.257920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c12ecc9-752f-40bc-84a5-0c15496ec23a · outbound

This paper cites We add the randomly selected past QA record into theLevelprompt.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels We add the randomly selected past QA record into theLevelprompt

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.177122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76d70d86-20e9-4a4b-9582-ab30cdfc9da9 · outbound

This paper cites We add the similarity-based re- trieved past QA record into theLevelprompt.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels We add the similarity-based re- trieved past QA record into theLevelprompt

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.159119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fac3ead-7e61-4af7-9efa-130009cd423a · outbound

This paper cites Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.792942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd10170-115c-41e1-b61d-c464e30a0131 · outbound

This paper cites This prompt is shown in Figure 10.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels This prompt is shown in Figure 10

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.125027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 62684894-b17e-4a16-ab51-26a99e68bc1d · outbound

This paper cites This prompt is shown in Figure 11.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels This prompt is shown in Figure 11

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.108985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f92d9e94-2ef6-49d4-8485-56ca7b3c5a5d · outbound

This paper cites an unresolved cited work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:58.272884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 798a971d-6752-42d9-8f3e-762b6e6c7cc8 · outbound

This paper cites The tested API version isLLaMA-3-70B-Instruct.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels The tested API version isLLaMA-3-70B-Instruct

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.241457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a40fb11f-1c80-4fed-a02c-14b8be5e233f · outbound

This paper cites an unresolved cited work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:58.225166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bb54775-aed0-4d30-8b97-4b2fe05b7b84 · outbound

This paper cites an unresolved cited work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:58.209175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 495a1785-03a4-4bc0-b13c-a634347a1a9a · outbound

This paper cites Specifically, we first compute the accuracy of a student’s past QA records and then nor- malize it to a range of 1 to 5, where 5 rep- resents the highest cognitive level.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Specifically, we first compute the accuracy of a student’s past QA records and then nor- malize it to a range of 1 to 5, where 5 rep- resents the highest cognitive level

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.193928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5891f474-2598-4130-8160-999a417fde5e · outbound

This paper cites an unresolved cited work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:58.141911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6579bc4e-5abc-43ea-b875-aa455e2a6d9d · outbound

This paper cites Counterfactual behavioral consistency.To fur- ther provide behavioral evidence at the individual level, we design a counterfactual variant experi- ment.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Counterfactual behavioral consistency.To fur- ther provide behavioral evidence at the individual level, we design a counterfactual variant experi- ment

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:29:58.092276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3fb0dc22-6711-4812-ad25-92b6407772ea · outbound

This paper cites Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.787489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8cb2c1-ce24-4e0b-aeb6-a2b4e2f13c7a · outbound

This paper cites LookAlike: Consistent Distractor Generation in Math MCQs.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels LookAlike: Consistent Distractor Generation in Math MCQs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.774920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e093e452-ff29-4f66-a925-0501e27415ac · outbound

This paper cites LLM-based Cognitive Models of Students with Misconceptions.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels LLM-based Cognitive Models of Students with Misconceptions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.780885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1cd160-72fe-4ad3-baa4-6725a21d0404 · outbound

This paper cites DeepSeek-V3 Technical Report.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels DeepSeek-V3 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T17:29:57.762641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e20efb5-8eef-4ad4-b750-d6d5960c6cf5 · outbound

This paper cites an unresolved cited work.

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:29:58.304025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.