Paper Citation Record · LEDGER

FAMO: Fast Adaptive Multitask Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.03792.

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

pith.paper-citation-record.v1
2306.03792 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:23.171525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:37:15.951659Z

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 fc54a80d-348a-4890-8693-3559ff35ebce · inbound

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining cites this paper.

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining FAMO: Fast Adaptive Multitask Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:04:23.171525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1004f965-6e3d-4c85-8453-fc39bb0c4af4 · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives FAMO: Fast Adaptive Multitask Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.661519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47eec33a-a586-4242-80be-6a08a54dd6b5 · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks FAMO: Fast Adaptive Multitask Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:25.316396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518c7469-fdf3-41f1-9f6b-36ebdbfa7f53 · inbound

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing cites this paper.

TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing FAMO: Fast Adaptive Multitask Optimization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.715678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7951ec59-45da-46b4-a8ce-c62f62fe86ad · inbound

GPU-Parallel Multi-Task Reinforcement Learning with Demonstration Guided Policy Optimization cites this paper.

GPU-Parallel Multi-Task Reinforcement Learning with Demonstration Guided Policy Optimization FAMO: Fast Adaptive Multitask Optimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:46:32.220366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3d3d443-828a-43f1-95ff-e2c30ccf7be6 · inbound

Exploring Line Bundle Standard Models with Transformers cites this paper.

Exploring Line Bundle Standard Models with Transformers FAMO: Fast Adaptive Multitask Optimization

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:37:15.953076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78aa9dc8-7e3f-4efd-b6d9-f8d571e09ca8 · inbound

Exploring Line Bundle Standard Models with Transformers cites this paper.

Exploring Line Bundle Standard Models with Transformers FAMO: Fast Adaptive Multitask Optimization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T09:22:54.425816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa6e95f9-1806-40e0-8d29-36d018480c69 · inbound

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning cites this paper.

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning FAMO: Fast Adaptive Multitask Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T07:56:34.499858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.