Paper Citation Record · LEDGER

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.16863.

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

pith.paper-citation-record.v1
2502.16863 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:56:46.965356Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:15:50.623884Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1ef2ecb1-3502-4295-9f9a-d9a99d76b874 · inbound

MASPRM: Multi-Agent System Process Reward Model cites this paper.

MASPRM: Multi-Agent System Process Reward Model Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T07:56:46.965356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a5088f-8265-4f05-991b-996d3f1b9589 · inbound

From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models cites this paper.

From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:30:58.509153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e88f9564-bb91-44f8-98a5-84af7d7eed61 · inbound

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding cites this paper.

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:15:50.625542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8ffac27-7580-47ed-9c4f-4bf47e1c9a56 · inbound

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding cites this paper.

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T09:54:34.495372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8510df98-e52d-4551-9e20-bf10aa613df4 · inbound

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding cites this paper.

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:05:37.274347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b6e3e9b-0702-4009-95df-f2fbb359d237 · inbound

Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration cites this paper.

Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:24:22.552183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d6ab1e5-5cec-47d2-908d-f225a1547130 · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-31T21:55:17.282062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.