Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:48:13.389900Z
Paper Citation Record · LEDGER
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents
As of 22 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2511.10687.
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 2026-08-22T06:32:14.747728+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
10 of 10 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ebfb17e4-39e8-481a-8c56-62b9d8c4efc8 · outbound
This paper cites an unresolved cited work.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:13.182497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7779f0d2-8a8a-461e-8760-1f5f4956eec8 · outbound
This paper cites an unresolved cited work.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Unresolved cited work
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:13.286579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d528103-0915-49a8-bde4-887ad2280f9a · outbound
This paper cites A.2.1 PLUGGING THE SIGNALS INTO POST-TRAINING Success route (RL-style).Use {ri,t} as per-message rewards for each agent policy πi.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents A.2.1 PLUGGING THE SIGNALS INTO POST-TRAINING Success route (RL-style).Use {ri,t} as per-message rewards for each agent policy πi
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:13.389900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8b051f7-8a88-452a-9f97-57fe3d7156d7 · outbound
This paper cites Hanhan Zhou, Tian Lan, and Vaneet Aggarwal.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Hanhan Zhou, Tian Lan, and Vaneet Aggarwal
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.972733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dbc5025-f6a2-4325-b958-526dbb994880 · outbound
This paper cites an unresolved cited work.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:13.075374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9386696a-3c67-4049-beee-c373ae487399 · outbound
This paper cites Bounding the Estimation Error of Sampling-based Shapley Value Approximation.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Bounding the Estimation Error of Sampling-based Shapley Value Approximation
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.451470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbdf2d18-0fcd-47dd-a69d-c5e64652322b · outbound
This paper cites STaR: Bootstrapping Reasoning With Reasoning.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents STaR: Bootstrapping Reasoning With Reasoning
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.820859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bf93735-835e-413d-9cbc-2c78b0cbc75d · outbound
This paper cites Training language models to follow instructions with human feedback.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Training language models to follow instructions with human feedback
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.563763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6536a929-c228-4cbf-8654-d7abe1360432 · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.670792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fa6716e-04e7-41c2-a61f-c2dcbd4576e4 · outbound
This paper cites SCAR: Shapley Credit Assignment for More Efficient RLHF.
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents SCAR: Shapley Credit Assignment for More Efficient RLHF
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:48:12.321881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.