Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T06:51:44.867838Z
Paper Citation Record · LEDGER
Reward Modeling for Multi-Agent Orchestration
As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2606.13598.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact7
- verified fuzzy0
- unresolved57
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d64303c7-5260-41a2-a018-4e29fe39d279 · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
Reward Modeling for Multi-Agent Orchestration gpt-oss-120b & gpt-oss-20b Model Card
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.596431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5627f20c-3b48-4e3a-9e7a-bdc55266c7b5 · outbound
This paper cites American Invitational Mathematics Examination.
Reward Modeling for Multi-Agent Orchestration American Invitational Mathematics Examination
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51184580-41a3-4c66-9d96-d34f63fbbd19 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f69f6ad7-3e56-4cd7-9a14-966200615d4c · outbound
This paper cites Equipping agents for the real world with agent skills.
Reward Modeling for Multi-Agent Orchestration Equipping agents for the real world with agent skills
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 826f1570-6c61-4569-98e8-afd40d8bcde5 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d81677a1-dc55-4ae2-a215-305acb05b1e0 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13580ea6-9c66-470a-a61e-4c3a2a9bb2ba · outbound
This paper cites Openai gpt-5 system card, 2026.
Reward Modeling for Multi-Agent Orchestration Openai gpt-5 system card, 2026
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a87fd69-f97b-4da3-b84a-92d4cc09416a · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fb378b2-5d97-42bf-80f4-1d29818e6b4b · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7ebc6af-96d9-46d8-b89c-47d7e9314674 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee601832-1461-4015-ad9d-d1ed6c84c5c9 · outbound
This paper cites Kumar, R.
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6eb111-9a70-41fa-8bb6-620b267a0833 · outbound
This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.
Reward Modeling for Multi-Agent Orchestration Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.588394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6159e022-c83e-4868-b96e-c78e50b03ae4 · outbound
This paper cites Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy.
Reward Modeling for Multi-Agent Orchestration Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.593893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82401ae5-37c9-47a6-a854-6224edb6786d · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 585cd0ed-2034-457b-9df9-cec0e3bfbff5 · outbound
This paper cites Madaan, N.
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34515e5f-f657-4b78-a662-9f15aecb40ff · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d678d9a-62e0-417a-9bf2-7e28dec04977 · outbound
This paper cites Openai gpt-4.1 nano model, 2025.
Reward Modeling for Multi-Agent Orchestration Openai gpt-4.1 nano model, 2025
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aa99030-df69-4387-894c-ea138e35a190 · outbound
This paper cites Ouyang, J.
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4f31c8c-c242-402c-a976-3c833f2247ed · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32636243-c19d-4421-a855-4c286add6574 · outbound
This paper cites Rafailov, A.
Reward Modeling for Multi-Agent Orchestration Rafailov, A
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ff886ff-fd4a-41a9-b678-401a23fb6c93 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d32f7390-142c-44f2-b339-7021b5f4f87c · outbound
This paper cites Proximal Policy Optimization Algorithms.
Reward Modeling for Multi-Agent Orchestration Proximal Policy Optimization Algorithms
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.589138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d35f8c83-0c09-4a7b-97f3-e7b1795c5c3d · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Reward Modeling for Multi-Agent Orchestration DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.591392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 126c3931-f9c1-44ad-9bc6-2e51232ab4a1 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8946d3e5-ea9e-4dd0-a662-7a5b4179073c · outbound
This paper cites Venkataramani, H.
Reward Modeling for Multi-Agent Orchestration Venkataramani, H
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33f686b0-3e97-464b-9266-81de93a04e0e · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5bb0811-54af-4424-b445-9b484c8fd85b · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9bde9af-5c27-466e-b6d4-0da8ee0b97d0 · outbound
This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.
Reward Modeling for Multi-Agent Orchestration The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.583531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bff47de2-4e3c-4e36-8bac-b94d433589f4 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2364845-e7a3-42b2-aabf-6bfedb38550d · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a14435aa-c078-49db-9e6e-fd965dfdc72c · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbaea259-7c1a-45ba-ae42-8fa99535ab11 · outbound
This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.
Reward Modeling for Multi-Agent Orchestration Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T14:58:32.593485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c1769cd0-afcc-4985-b3a8-474c7701c64f · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22da3057-9e66-45a6-9f21-59a2f94b1add · outbound
This paper cites Zhang, T.
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49c54d17-50bb-4b4b-b3e3-79d32d433bce · outbound
This paper cites Zhang, J.
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82e7600c-262f-4e36-a9f8-17982c300744 · outbound
This paper cites Zhang, K.
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d6b5a9d-1565-46d0-b231-6acea866e0cf · outbound
This paper cites Zhang, H.
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40d34c25-d785-4e65-9207-c7cabe129b70 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ee21f95-210c-4c3d-ac84-323e5009ddf5 · outbound
This paper cites correct-over-incorrect.
Reward Modeling for Multi-Agent Orchestration correct-over-incorrect
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bf8f619-3ef1-4f7c-8215-3bbea8568597 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972ac47a-97b3-4697-a7ab-1383b5e61f95 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27f0d0aa-d50d-43eb-9467-5479bb96583f · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06471bf6-be58-48f9-8b10-ed5ab3ec334e · outbound
This paper cites Each agent must contain <agent_name>, <agent_description>,<required_arguments>, and<agent_output_id>.
Reward Modeling for Multi-Agent Orchestration Each agent must contain <agent_name>, <agent_description>,<required_arguments>, and<agent_output_id>
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cce32bb3-4acd-40a8-9567-6d855033a5e3 · outbound
This paper cites agent_input must be an Info object.
Reward Modeling for Multi-Agent Orchestration agent_input must be an Info object
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76816c55-c69d-402a-9433-3938c89ad6a2 · outbound
This paper cites Please think step by step and then solve the task.
Reward Modeling for Multi-Agent Orchestration Please think step by step and then solve the task
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17e467cb-0ebe-478d-8fec-fa4bd86637dd · outbound
This paper cites Math Profes- sor.
Reward Modeling for Multi-Agent Orchestration Math Profes- sor
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5139361-2982-4aed-86d2-57135c12e708 · outbound
This paper cites Graph Theory Expert.
Reward Modeling for Multi-Agent Orchestration Graph Theory Expert
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1d0e5a0-0a15-4984-be5d-e0e7bd3206e2 · outbound
This paper cites - The inequalities \(x - yz\textless y - zx\textless z - xy\) need to be analyzed to determine the regions where they hold true.
Reward Modeling for Multi-Agent Orchestration - The inequalities \(x - yz\textless y - zx\textless z - xy\) need to be analyzed to determine the regions where they hold true
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72e91810-d29c-4e7c-9327-e3d1fe35d8c6 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0b4b73f-d9be-4937-a64e-1c2a5e9cfc10 · outbound
This paper cites Mathematics Professor.
Reward Modeling for Multi-Agent Orchestration Mathematics Professor
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15d8063b-778e-4d5b-8183-1952fac3f482 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab547592-da66-4a4d-9ccf-119cb80cf31c · outbound
This paper cites Geometry Specialist.
Reward Modeling for Multi-Agent Orchestration Geometry Specialist
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaa051e6-b14a-45b1-872f-8449e336e447 · outbound
This paper cites Geometry Specialist.
Reward Modeling for Multi-Agent Orchestration Geometry Specialist
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c392a4a-73f0-44be-9cd9-a838d89741c8 · outbound
This paper cites The goal is to find the finite-area 21 convex region formed by these conditions and express its area in the form \(a\sqrt{b}\), then compute \(a + b\).
Reward Modeling for Multi-Agent Orchestration The goal is to find the finite-area 21 convex region formed by these conditions and express its area in the form \(a\sqrt{b}\), then compute \(a + b\)
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce697945-1555-4ae9-99b2-81ea606fdb6e · outbound
This paper cites Geometry Specialist.
Reward Modeling for Multi-Agent Orchestration Geometry Specialist
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f260b13-2d11-4f25-921d-17af8d440236 · outbound
This paper cites " (empty) as instructed, ensuring the original question is inserted by the parser. - debate_roles: A list containing two distinct expert roles (.
Reward Modeling for Multi-Agent Orchestration " (empty) as instructed, ensuring the original question is inserted by the parser. - debate_roles: A list containing two distinct expert roles (
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 193c0934-39f5-4eab-b40c-10feef58e947 · outbound
This paper cites Geometry Specialist.
Reward Modeling for Multi-Agent Orchestration Geometry Specialist
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16c2dbd1-83dc-414a-bcaf-dbc47abb526c · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd0e1402-a9a1-4fcd-b989-e0527eb9888f · outbound
This paper cites Geometry Specialist.
Reward Modeling for Multi-Agent Orchestration Geometry Specialist
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69e49b68-3f45-4d50-aa79-66d8309fcc3a · outbound
This paper cites " (empty) as instructed, ensuring the original question is inserted by the parser. - debate_roles: A list with two distinct expert roles (.
Reward Modeling for Multi-Agent Orchestration " (empty) as instructed, ensuring the original question is inserted by the parser. - debate_roles: A list with two distinct expert roles (
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74bd07ea-d3d9-44ea-9c19-a1d74fcf1142 · outbound
This paper cites This approach ensures both correctness and confidence through collaborative reasoning.
Reward Modeling for Multi-Agent Orchestration This approach ensures both correctness and confidence through collaborative reasoning
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcc02643-688b-4956-b033-f8f89be460c0 · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41887c89-68b3-4a2e-ac48-dfef0ff5fd7c · outbound
This paper cites an unresolved cited work.
Reward Modeling for Multi-Agent Orchestration Unresolved cited work
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfee4610-fe6a-411b-a93f-5b0c17414990 · outbound
This paper cites completion year.
Reward Modeling for Multi-Agent Orchestration completion year
Reference 65
- Resolution
- malformed identifier
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c18c76f5-fdd7-4eb0-8aa7-b0f3d972b2f3 · outbound
This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.
Reward Modeling for Multi-Agent Orchestration Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-06-27T06:51:44.867838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.