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Paper Citation Record · LEDGER

Multi-Task Learning as a Bargaining Game

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2202.01017.

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

pith.paper-citation-record.v1
2202.01017 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:20:38.309736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.448499Z

Reference resolution

0 of 0 outbound references displayed

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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 9a1e5879-c521-45b6-917c-5dbe6f8d4c9c · inbound

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts cites this paper.

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts Multi-Task Learning as a Bargaining Game

Reference 45

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no resolver link, observed 2026-08-08T16:20:38.309736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:20:38.309736Z digest=sha256:6336718f393d05c42ba35fa4a876d470c42d3a163c2fe8c10d6fffc95d87ae1c

Observation 1fa80b2f-9c0c-4312-ad17-8504c1af612b · 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 Multi-Task Learning as a Bargaining Game

Reference 28

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no resolver link, observed 2026-08-07T14:04:24.809400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:04:24.809400Z digest=sha256:d0ef0a1ba4ad1478fe0342517be41176d276459a45c7119a658d158833e2f61d

Observation cb43ef4e-dd2a-4a6f-8eef-ad44859374ce · inbound

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class cites this paper.

FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class Multi-Task Learning as a Bargaining Game

Reference 33

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no resolver link, observed 2026-08-07T12:14:51.309084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:51.309084Z digest=sha256:056fcef5bb42aedcd98cbdb92d366547fab4be82dea26bf410f756a31c5fd6d7

Observation b91981d5-0b12-4548-ad16-4ee0feea8301 · inbound

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs cites this paper.

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs Multi-Task Learning as a Bargaining Game

Reference 34

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unresolved
no resolver link, observed 2026-08-07T12:08:31.464747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:31.464747Z digest=sha256:29741cc65eb940c63adf3068650ee12d081e394a420523de9f6cd22c5c9c5c5c

Observation 3a885e73-e46e-44de-937d-a8f1211fb382 · inbound

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping cites this paper.

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping Multi-Task Learning as a Bargaining Game

Reference 74

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no resolver link, observed 2026-08-07T11:32:10.907531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:32:10.907531Z digest=sha256:d5277de9e9f422cb989311647d9d524bbad3591d4bb6e59097d7bf8fb6a037a5

Observation e164a951-0045-472d-889a-e6d041845cc0 · inbound

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models cites this paper.

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models Multi-Task Learning as a Bargaining Game

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:50.887993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:29:50.887993Z digest=sha256:72670af9b1238d6e5998d33b7605471226f23886a9fc5b6af0f54f668346a5b0

Observation b74c2b27-86ee-4837-8382-7abd244cdc7d · inbound

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning cites this paper.

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Multi-Task Learning as a Bargaining Game

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:54.197062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:54.197062Z digest=sha256:d25dd6a63751318b0a3769a8b483b7c6c6aacef5919e04bafe7f40475d50436f

Observation 5c2ef916-3732-4d8a-8444-c2fe7656f3e6 · inbound

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning cites this paper.

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning Multi-Task Learning as a Bargaining Game

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:35.755632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:35.755632Z digest=sha256:42e3190eb3f38b49cc4c1ad15bd8052f074efca3795a15998ecd48308de469dd

Observation 8e7df026-1ebd-4a3a-b7dd-49624783a986 · inbound

Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training cites this paper.

Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training Multi-Task Learning as a Bargaining Game

Reference 35

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unresolved
no resolver link, observed 2026-08-06T18:38:50.707754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:50.707754Z digest=sha256:01a95ed0431cf4e0ba70a0d96c08e649feb612d95ebe36e0d082f98743948ebe

Observation 87b76ee2-2401-4d95-b3d9-4bdc3e77cafe · inbound

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics cites this paper.

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics Multi-Task Learning as a Bargaining Game

Reference 34

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unresolved
no resolver link, observed 2026-08-05T18:54:01.498708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:54:01.498708Z digest=sha256:0d39dc3746e37df6d436615f2b0fbe90ae0ad3b2df44f42243bd4921e096f1da

Observation 0bd565d1-b27f-49aa-bf7f-c56b1d80d968 · inbound

Simple Optimizers for Convex Aligned Multi-Objective Optimization cites this paper.

Simple Optimizers for Convex Aligned Multi-Objective Optimization Multi-Task Learning as a Bargaining Game

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T05:05:47.756478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:05:47.756478Z digest=sha256:c944fdf1a0a1ab55343e774b8e328262eeaffaac9b30798fdb760fabb16240f8

Observation a002396a-c5d9-4947-9abf-d73bc374588d · inbound

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling cites this paper.

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling Multi-Task Learning as a Bargaining Game

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:41:03.389911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T07:36:28.841586Z digest=sha256:db469489f50825681b9e5573102dc09e7db1c93cd454116a3c8b02a5d99e1db3

Observation 4c21e61d-c0cc-44d9-8b55-5d6f09c4e70f · inbound

Expert Merging in Sparse Mixture of Experts with Nash Bargaining cites this paper.

Expert Merging in Sparse Mixture of Experts with Nash Bargaining Multi-Task Learning as a Bargaining Game

Reference 46

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unresolved
no resolver link, observed 2026-08-04T09:21:49.346348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:21:49.346348Z digest=sha256:66218dc853ee1549311e9098f09adeb90cef886570f44910c1d2f72475cbefb8

Observation 16410133-b044-457e-95c4-5ea6f41d3b07 · inbound

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training cites this paper.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training Multi-Task Learning as a Bargaining Game

Reference 24

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unresolved
no resolver link, observed 2026-07-15T13:49:27.721549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:d2221462fd77af1d0bf121f52f671097c3e88674596bff984fb21cd6bec49bea

Observation 6829bdf3-132d-4900-b8fd-8c072007da90 · inbound

Delve into the Applicability of Advanced Optimizers for Multi-Task Learning cites this paper.

Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Multi-Task Learning as a Bargaining Game

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:20:59.030964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:42:48.902337Z digest=sha256:f2654e5d5ea43071ec4af06733bd923e5f8f2bdd9f2bd0c3aa2278319893b7c0

Observation 249538d1-35c6-44cc-8325-ee0258d57a20 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Multi-Task Learning as a Bargaining Game

Reference 223

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metadata mismatch
arxiv_id, observed 2026-05-15T03:08:59.521004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:5ee094e8b81e4e2d0b6c9f8148c440cecc618b8b822d6dc3940ebdbbb47701f9

Observation f28aad78-5198-4f9d-ae1d-08459564cf46 · inbound

When Robots Sleep: Offline Skill Consolidation for Shared-Policy Robot Learning cites this paper.

When Robots Sleep: Offline Skill Consolidation for Shared-Policy Robot Learning Multi-Task Learning as a Bargaining Game

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:57.551497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:04:01.317563Z digest=sha256:2208fafb71d700babf97a96fdb4edba7e82f47f5630add9dbac5359e8fc8a7a9

Observation 01f90d3e-fc03-4092-8a41-2b236980bec0 · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation Multi-Task Learning as a Bargaining Game

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:51.450413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T04:55:42.018348Z digest=sha256:8ef2f0a35566d0574163c894aee93bfc95be4647cc8fe1f883b89c8d9d80f4a6

Observation 01c3f9cd-48c5-486a-a6f1-31517dc91c21 · inbound

DanceOPD: On-Policy Generative Field Distillation cites this paper.

DanceOPD: On-Policy Generative Field Distillation Multi-Task Learning as a Bargaining Game

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-12T11:44:54.717393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:44:54.717393Z digest=sha256:d3ec2f748eeaf4622949093b96de2fc1183f19a51cce586b7fd7cbdfbd6ea5cc

Observation 7ec51da7-6473-4494-bb2f-6e007ad2372d · inbound

Rosetta: Composable Native Multimodal Pretraining cites this paper.

Rosetta: Composable Native Multimodal Pretraining Multi-Task Learning as a Bargaining Game

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:05.746292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T15:41:13.556849Z digest=sha256:16a817d7d96300edd24bdded5ce2c9f4dd6b3665083aea3be37fd3b97c139c30

Observation 21c71261-88d4-4fa8-b19b-c396ef0f6bd3 · inbound

S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF cites this paper.

S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF Multi-Task Learning as a Bargaining Game

Reference 40

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unresolved
no resolver link, observed 2026-08-02T13:58:44.111762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:58:44.111762Z digest=sha256:3b922f4cfb36ecf4a0413ccc683d28e8682a301eb4bd884b80cb0b9c59dc024d