Paper Citation Record · LEDGER

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 4 inbound Pith citation observations for arXiv:2412.07880.

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

pith.paper-citation-record.v1
2412.07880 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:28:39.872835Z

measured 39 of 39 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:21.073020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:58:32.310891Z

Reference resolution

35 of 35 outbound references displayed

verified exact8
verified fuzzy14
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb0f166e-cab3-4595-8812-c8fe01ff4c70 · outbound

This paper cites Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.117099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95e95817-cdde-4d71-b704-d0a0b728c213 · outbound

This paper cites Large language model based multi- agents: A survey of progress and challenges.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Large language model based multi- agents: A survey of progress and challenges

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.727517Z

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 69a3e146-fd6b-4825-8a96-c0215a836128 · outbound

This paper cites TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:40.314276Z

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 a6fcba39-8ef9-4e9e-a3ce-23d47d14685a · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7bd2e48-b838-4abe-88a9-66b963bece0a · outbound

This paper cites ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.171631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1879a2c0-14d4-4ba6-9644-f6556de0a651 · outbound

This paper cites Mitigating the Risk of Health Inequity Exacerbated by Large Language Models.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Mitigating the Risk of Health Inequity Exacerbated by Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.191506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df7b97f-5053-4da5-af76-1431a31659a4 · outbound

This paper cites Assertion de- tection in clinical natural language processing using large language models.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Assertion de- tection in clinical natural language processing using large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.711529Z

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 a9930edf-ad58-4583-ae52-812418bd2943 · outbound

This paper cites Foundation models for mining 5.0: Challenges, frameworks, and opportunities.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Foundation models for mining 5.0: Challenges, frameworks, and opportunities

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.695310Z

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 27104efe-6790-4917-aff4-12d89f04da71 · outbound

This paper cites Focused ReAct: Improving ReAct through Reiterate and Early Stop.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Focused ReAct: Improving ReAct through Reiterate and Early Stop

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:40.161277Z

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 b92de319-0a4e-444f-8a24-23fc154c767b · outbound

This paper cites COEM: Cross-Modal Embedding for MetaCell Identification.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact COEM: Cross-Modal Embedding for MetaCell Identification

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:40.070034Z

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 896a8e2a-70fb-4622-bf19-e9d83d57c5db · outbound

This paper cites Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:40.052864Z

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 b2bd4116-de29-4a73-a45a-f58f4aec9fd0 · outbound

This paper cites E-tamba: Efficient transformer-mamba layer transplantation.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact E-tamba: Efficient transformer-mamba layer transplantation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.633462Z

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 74583bd7-3bd1-445c-bca2-5269289ae89b · outbound

This paper cites Improving the prediction of in- dividual engagement in recommendations using cognitive models.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Improving the prediction of in- dividual engagement in recommendations using cognitive models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.464842Z

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 d9621095-4061-46f0-8717-7f07b1d41f2b · outbound

This paper cites Artificial Intelligence for Social Good: A Survey.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Artificial Intelligence for Social Good: A Survey

Reference 22

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Source-reported events for the cited work

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Observation 3e8ba05a-1625-4989-9c76-0436dba645f1 · outbound

This paper cites Prompt2model: Gen- erating deployable models from natural language instruc- tions.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Prompt2model: Gen- erating deployable models from natural language instruc- tions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.451168Z

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 9d2a2c8c-aa9f-47c2-b8b3-46bb4cf703c2 · outbound

This paper cites Efficient Evolutionary Search Over Chemical Space with Large Language Models.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Efficient Evolutionary Search Over Chemical Space with Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.455554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea86ce59-19ce-475c-94c8-a83488d8141c · outbound

This paper cites Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Large Language Models for Robotics: Opportunities, Challenges, and Perspectives

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.458867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60eb6d5d-bd0e-4cf8-8440-c9a88a5a168a · outbound

This paper cites ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:39.991809Z

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 581c5e3a-cae1-40de-b351-4b13c722c854 · outbound

This paper cites HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.466429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5630d61-65db-4694-bd49-3df07eb35bc1 · outbound

This paper cites Configurable Foundation Models: Building LLMs from a Modular Perspective.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.470118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737e4a8a-d6fb-4180-a105-30d9a9554b55 · outbound

This paper cites Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.539780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea4c80e-85c0-4283-82b2-3cde20f67761 · outbound

This paper cites Playing repeated security games with no prior knowledge.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Playing repeated security games with no prior knowledge

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.437042Z

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 5fdc96e1-8a09-408c-bb15-ce276b4da2a4 · outbound

This paper cites Can speculative sampling accelerate react without compromis- ing reasoning quality? In The Second Tiny Papers Track at ICLR 2024,.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Can speculative sampling accelerate react without compromis- ing reasoning quality? In The Second Tiny Papers Track at ICLR 2024,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.423072Z

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 300e3a60-c12a-4586-bc91-0a285d016f7b · outbound

This paper cites Restful-llama: Connecting user queries to restful apis.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Restful-llama: Connecting user queries to restful apis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.409974Z

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 08c43fd4-d6bd-4eec-ba12-ba11c80fcdd6 · outbound

This paper cites Fa* ir: A fair top-k ranking algorithm.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Fa* ir: A fair top-k ranking algorithm

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.396492Z

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 683b7d0a-2460-4a8a-bf06-ac58bf89a0d0 · outbound

This paper cites The Bandit Whisperer: Communication Learning for Restless Bandits.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact The Bandit Whisperer: Communication Learning for Restless Bandits

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:39.913924Z

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 0d7a4380-3b75-4fe4-b68f-67c408fc276e · outbound

This paper cites The deskilling of domain expertise in ai development.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact The deskilling of domain expertise in ai development

Reference 1988

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.476894Z

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 7b3d9d02-d032-4c76-ba84-c942edbb2613 · outbound

This paper cites Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents

Reference 2003

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:40.334024Z

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 17cc317e-0e77-4019-9de7-620d3af8ce2f · outbound

This paper cites Ranked Prioritization of Groups in Combinatorial Bandit Allocation.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Ranked Prioritization of Groups in Combinatorial Bandit Allocation

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:28:39.933143Z

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 47f012a9-16a6-4244-ba87-b9a42037f704 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact On the Opportunities and Risks of Foundation Models

Reference 2018

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Source-reported events for the cited work

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Observation 4c8f6987-be48-4ddc-bfe7-4246cd180da1 · outbound

This paper cites Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.097325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe29eba1-2e8c-4e29-ac5f-37f0c9527a3c · outbound

This paper cites Envisioning communities: a participatory approach towards ai for social good.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Envisioning communities: a participatory approach towards ai for social good

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.765551Z

Source-reported events for the cited work

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Observation fb4a0e1f-df47-4fea-9c1f-4947082c3ba2 · outbound

This paper cites Learning more effective cell representations efficiently.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Learning more effective cell representations efficiently

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.740685Z

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 03e1c0ff-9db1-41e7-b5a0-eff2abfae7a1 · outbound

This paper cites Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T18:28:39.136059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c813a081-ae97-48fb-8794-ced4987881a0 · outbound

This paper cites Compost: Characterizing and evaluating caricature in llm simula- tions.

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact Compost: Characterizing and evaluating caricature in llm simula- tions

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:28:40.753999Z

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.

Pith citing papers

Observation cbcd48dd-a5aa-4e46-8e58-9bf0787840b0 · inbound

Towards Automated Scoping of AI for Social Good Projects cites this paper.

Towards Automated Scoping of AI for Social Good Projects Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:21.073020Z

Source-reported events for the cited work

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Observation 00f83086-ac11-4b3f-b325-4b29db68a4ff · inbound

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:37.063748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf678149-fbf1-44e4-8295-945efb934462 · inbound

Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good cites this paper.

Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:25.211621Z

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 9d4038e9-7029-498e-8181-a8793dbd327e · inbound

Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model cites this paper.

Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:58:32.312953Z

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.