Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T15:18:39.844534Z
Paper Citation Record · LEDGER
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 6 inbound Pith citation observations for arXiv:2605.01347.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:31:28.536475Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T21:06:34.834207Z
Reference resolution
43 of 43 outbound references displayed
- verified exact28
- verified fuzzy11
- unresolved1
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eef348e2-f599-4f49-8978-168331962a8e · outbound
This paper cites On-policy distillation of language models: Learning from self-generated mistakes.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate On-policy distillation of language models: Learning from self-generated mistakes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.198866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7be22d38-e786-4ce7-99dd-a40a7b03e74f · outbound
This paper cites SMAGDi: Socratic multi agent interaction graph distillation for efficient high accuracy reasoning.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate SMAGDi: Socratic multi agent interaction graph distillation for efficient high accuracy reasoning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:19.166207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7efd699f-2ac4-4689-8594-eebdc0807367 · outbound
This paper cites Program Synthesis with Large Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Program Synthesis with Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:19.273752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1aaae547-f046-46cc-ae5e-b00e644638b4 · outbound
This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:52:17.902869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6ffb5d1-ad7b-4f03-b9a8-614487027435 · outbound
This paper cites MAGDi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate MAGDi: Structured distillation of multi-agent interaction graphs improves reasoning in smaller language models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.201683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36546e9b-1139-4cc4-b9e2-938f1e0799c2 · outbound
This paper cites ReConcile: Round-table con- ference improves reasoning via consensus among diverse LLMs.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate ReConcile: Round-table con- ference improves reasoning via consensus among diverse LLMs
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.193083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1beab1bd-b082-49fe-a436-1411be21ec7f · outbound
This paper cites AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:19.781233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b750b7e-e0ce-4b32-aaa1-9dfc0789a0f3 · outbound
This paper cites Improving retrieval-augmented generation through multi-agent reinforcement learning.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Improving retrieval-augmented generation through multi-agent reinforcement learning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.190221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c154312b-a088-4cc6-972a-556f361a006e · outbound
This paper cites K., Zhu, X., and Li, S.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate K., Zhu, X., and Li, S
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:41:21.555087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9745eedf-504c-4090-9949-65f8de64a94c · outbound
This paper cites DeepSeek-V4 technical report.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate DeepSeek-V4 technical report
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.204185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 280a70af-6a0f-45c3-9982-80151f80577d · outbound
This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:45.301651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b34186d4-dd9f-48a7-aff0-eaf6e843043c · outbound
This paper cites Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:21.670733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fdc7602b-bdfa-4427-8360-9c3d536dc601 · outbound
This paper cites MiniLLM: Knowledge distillation of large language models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate MiniLLM: Knowledge distillation of large language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.209815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39037226-ef26-44be-adfb-c67c8ba4ad5a · outbound
This paper cites OpenThoughts: Data Recipes for Reasoning Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate OpenThoughts: Data Recipes for Reasoning Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:57:51.597669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ee95f87-7f24-469e-bd1e-db1b774f7518 · outbound
This paper cites Vitabench: Benchmarking llm agents with versatile interactive tasks in real-world applications.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Vitabench: Benchmarking llm agents with versatile interactive tasks in real-world applications
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:21.665570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72bd42ca-d9d4-4b42-b228-60eb01054e6c · outbound
This paper cites Distilling the Knowledge in a Neural Network.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Distilling the Knowledge in a Neural Network
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:19.795296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0b10198-68ee-4689-a945-bf7cc93ede90 · outbound
This paper cites Reinforcement Learning via Self-Distillation.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Reinforcement Learning via Self-Distillation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:29:18.795354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3754dbe2-f1f9-4099-abd3-15acf850fcba · outbound
This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:20.240734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6066dad1-c0ab-4a2e-b0c8-b5f9d322deef · outbound
This paper cites Stable On-Policy Distillation through Adaptive Target Reformulation.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Stable On-Policy Distillation through Adaptive Target Reformulation
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:20.224411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12442ef8-7d89-4535-a882-7fa30df4ece8 · outbound
This paper cites Entropy-Aware On-Policy Distillation of Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Entropy-Aware On-Policy Distillation of Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:02:00.585154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65f0a3bc-f6c2-4061-8fe5-f52b27a675f8 · outbound
This paper cites an unresolved cited work.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T01:17:17.212724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b36d7507-e2e3-4a42-b496-77e1d1338da2 · outbound
This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:19.052841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29e3a2a9-3821-4941-8947-568fd2774f1b · outbound
This paper cites Encouraging divergent thinking in large language models through multi-agent debate.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Encouraging divergent thinking in large language models through multi-agent debate
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.181967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f6b0ee9-1b1e-4774-9a74-766f9b88bcdc · outbound
This paper cites Divergence measures based on the shannon entropy.IEEE Transactions on Information Theory, 37(1):145–151.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Divergence measures based on the shannon entropy.IEEE Transactions on Information Theory, 37(1):145–151
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.206978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97a1938b-4618-4f53-adaf-4e8c96672ac3 · outbound
This paper cites Is your code generated by ChatGPT really correct? rigorous evaluation of large language models for code generation.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Is your code generated by ChatGPT really correct? rigorous evaluation of large language models for code generation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.195909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef65ccf7-2e1d-49e7-80d7-bdf882c95be4 · outbound
This paper cites ToolACE: Winning the Points of LLM Function Calling.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate ToolACE: Winning the Points of LLM Function Calling
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:19.046738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 677187ca-da3b-429a-a9d4-bf274c1edf3b · outbound
This paper cites Decoupled weight decay regularization.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Decoupled weight decay regularization
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.184711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce802ad6-1ea6-4a40-b7bd-426062262e7f · outbound
This paper cites On-policy distillation.Thinking Machines Lab: Con- nectionism.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate On-policy distillation.Thinking Machines Lab: Con- nectionism
Reference 28
- Resolution
- verified exact
- doi, observed 2026-05-09T22:08:57.583809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 61c22ce0-a9eb-4916-b90d-779314c5c6a1 · outbound
This paper cites Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:20.540725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation baaebeef-1d64-40e4-b31f-bffd6e6052f3 · outbound
This paper cites Privileged Information Distillation for Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Privileged Information Distillation for Language Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:25:38.085126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c4348353-cfc9-4e28-b446-83c796480f1e · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:20.975823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 924f58a4-87f7-4381-bfa0-33e598fc3827 · outbound
This paper cites Cycle-instruct: Fully seed- free instruction tuning via dual self-training and cycle consistency.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Cycle-instruct: Fully seed- free instruction tuning via dual self-training and cycle consistency
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:41:19.478364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6a7ac809-0d5c-4c24-acd0-30eab8b39ff0 · outbound
This paper cites A Survey of On-Policy Distillation for Large Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate A Survey of On-Policy Distillation for Large Language Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:47:19.238105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation af531e27-ff4d-4dec-b69b-85a21ba8a24c · outbound
This paper cites GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:19.061053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3daaa0ac-ade3-4ae6-8fc7-66ed0faa19b2 · outbound
This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:19.629338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f697bbc9-6970-4099-9497-72d95507cd58 · outbound
This paper cites Towards a Participatory and Social Justice-Oriented Measure of Human-Robot Trust.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Towards a Participatory and Social Justice-Oriented Measure of Human-Robot Trust
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:41:21.365199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 32880efb-ae03-4888-8d16-e5b51cdaba33 · outbound
This paper cites Qwen3 Technical Report.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Qwen3 Technical Report
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:20.724373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9f40531-4cc6-438f-8d46-816875f81c84 · outbound
This paper cites Self-Distilled RLVR.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Self-Distilled RLVR
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:41:21.254424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8288577f-4147-4f79-8902-03196e9bb9bd · outbound
This paper cites Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:11:07.754859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e86687f-99e6-4ac1-ab57-c698271932f2 · outbound
This paper cites On-Policy Context Distillation for Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate On-Policy Context Distillation for Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:48:41.492604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4fc16924-36eb-4e97-83dc-c88954dacf01 · outbound
This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:54:31.187112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 779565d1-1f1c-430a-ae2f-16347951864e · outbound
This paper cites Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model Enhancement
Reference 42
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T16:41:20.005103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8ba43c8-276c-4018-8787-fc76e122f7a9 · outbound
This paper cites 2020-10-16.
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate 2020-10-16
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:17:17.187516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 3383638a-2ab5-4588-9be1-96448d6cd801 · inbound
Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning cites this paper.
Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T08:11:17.758464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7e930519-c915-4227-ae28-ce5401dd800b · inbound
A Formula-Driven Survey and Research Agenda for On-Policy Distillation cites this paper.
A Formula-Driven Survey and Research Agenda for On-Policy Distillation MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T10:19:47.049206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 716121cd-cf07-4506-9245-997d95bad734 · inbound
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:06:34.835892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7b122f6-3751-40b7-88d4-f1b61f625e2c · inbound
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:11:32.403020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8b2d2c5-8f7d-4aa4-8275-c048f65352d7 · inbound
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.
When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:31:28.536475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfd3fc61-235a-4883-9358-1f569245d082 · inbound
MIRROR: Learning from the Other View for Multi-Modal Reasoning cites this paper.
MIRROR: Learning from the Other View for Multi-Modal Reasoning MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:15:04.810651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.