Paper Citation Record · LEDGER

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2606.15920.

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

pith.paper-citation-record.v1
2606.15920 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:55:58.460765Z

measured 19 of 19 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:39:21.018036Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 69213e14-3603-4d74-ab43-bca99ef93821 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9c81aa-62cf-4196-a525-efc2b9126b92 · outbound

This paper cites Reinforcement Learning via Self-Distillation.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Reinforcement Learning via Self-Distillation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0af85b-c1fa-47f0-ae2c-12293accecc9 · outbound

This paper cites D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70849500-5e7e-4f7d-aa6c-25caf480ac13 · outbound

This paper cites Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5a76a2-6de7-468e-802b-acd51a9424cb · outbound

This paper cites Explainable Multimodal Emotion Recognition.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Explainable Multimodal Emotion Recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de157f2-39aa-4fff-aa17-457a6b77ef5a · outbound

This paper cites Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1460667-fc81-4d47-8e87-a1cb106085b6 · outbound

This paper cites Make acoustic and visual cues matter: Ch-sims v2.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Make acoustic and visual cues matter: Ch-sims v2

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7c6d80-1046-4346-9d63-4f7685a9326b · outbound

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

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing https://thinkingmachines.ai/blog/on-policy-distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69835f6e-d958-49fc-b43d-8b05c05e2203 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a9f8e2-6238-46b3-98db-dbd91c1557b0 · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing A Survey of On-Policy Distillation for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f06fd3-f09b-4095-8c17-f109953a2433 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccefd188-c327-4a80-b63c-b9172e35fc1a · outbound

This paper cites Ai for service: Proactive assistance with ai glasses.arXiv preprint arXiv:2510.14359,.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Ai for service: Proactive assistance with ai glasses.arXiv preprint arXiv:2510.14359,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f41f85-9d85-43a6-998f-149883ceb145 · outbound

This paper cites Innovator-vl: A multimodal large language model for scientific discovery.arXiv preprint arXiv:2601.19325, 2026a.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Innovator-vl: A multimodal large language model for scientific discovery.arXiv preprint arXiv:2601.19325, 2026a

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814cfe0c-37be-4c88-8ebc-1ba671e6f204 · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a8e96b-4143-41ff-b1c2-d9357e445a9c · outbound

This paper cites R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cb9dc8-ea9c-48a0-805a-3a3d321636c4 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T13:55:58.460765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3957d440-27e1-46d3-ad1c-e00119a4fe88 · inbound

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-02T04:43:29.970222Z

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 88e80024-90ca-4c16-9aae-fe61899dc746 · inbound

PCA: Persistence-Aware Compression and Aggregation for Fast Video Large Language Models cites this paper.

PCA: Persistence-Aware Compression and Aggregation for Fast Video Large Language Models OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:49:57.251332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac157ec-27c9-4d95-8575-6be50ef1fff2 · inbound

RP-OPSD: Resolution-Privileged On-Policy Self-Distillation for Multimodal Large Language Models cites this paper.

RP-OPSD: Resolution-Privileged On-Policy Self-Distillation for Multimodal Large Language Models OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-31T14:46:28.137510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.