Paper Citation Record · LEDGER

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.09789.

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

pith.paper-citation-record.v1
2608.09789 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:50:50.714276Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy4
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd55a37f-7a19-48a1-92ac-7f35edcc6492 · outbound

This paper cites Qwen3-VL Technical Report.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Qwen3-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.656179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bbd6cc-25dd-4c91-b051-20a995a79c0a · outbound

This paper cites AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.675836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57a41b9-01a9-4e14-9342-99503ecd96f5 · outbound

This paper cites Visual Contrastive Self-Distillation.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Visual Contrastive Self-Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.679929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071bcfb1-1ded-4061-978a-5409c1872a34 · outbound

This paper cites Improved baselines with visual instruction tuning.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Improved baselines with visual instruction tuning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:50:50.882181Z

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 2917f92d-2749-4444-8bd9-893d7a403c7a · outbound

This paper cites URLhttps://thinkingmachines.ai/blog/ on-policy-distillation/.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection URLhttps://thinkingmachines.ai/blog/ on-policy-distillation/

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.687963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88b8a344-cf77-402b-a726-3ea74ecd6dec · outbound

This paper cites AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.691743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7f7437-2607-476f-be08-137d76aed4b9 · outbound

This paper cites Privileged Information Distillation for Language Models.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Privileged Information Distillation for Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.695524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e29ae0-a437-4a87-8f0b-17044e56f55e · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection HybridFlow: A Flexible and Efficient RLHF Framework

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.699524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad74a713-4608-4d3e-830d-8ec9e49e404d · outbound

This paper cites Self-Distilled RLVR.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Self-Distilled RLVR

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.703188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6bde4f-245f-4bdb-ad66-368159612049 · outbound

This paper cites Pku-goodsad: A supermarket goods dataset for unsupervised anomaly detection and segmentation.IEEE Robotics and Automation Letters, 9 (3):2008–2015,.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Pku-goodsad: A supermarket goods dataset for unsupervised anomaly detection and segmentation.IEEE Robotics and Automation Letters, 9 (3):2008–2015,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:50:50.872104Z

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 23991875-49fc-4d1e-b7cf-d6d7cdc831be · outbound

This paper cites Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:50:50.861268Z

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 e61a0d38-86f2-4f0e-827c-845cbf66a80c · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.714276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52aec8ab-a827-4325-8f4c-7fca298a2578 · outbound

This paper cites AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.660622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be909fa-37d3-4ff9-9adb-177eee2c6410 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.672004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a760dfc-8bd4-413b-9ffc-4861c26614a1 · outbound

This paper cites Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:50.664622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8e569a-73b9-4696-820e-a51fe0888316 · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision-language models.

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection Anomalygpt: Detecting industrial anomalies using large vision-language models

Reference 2026

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:50:50.893894Z

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.

Pith citing papers

No inbound Pith citation observations are available.