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Paper Citation Record · LEDGER

Multi-Task Learning as a Bargaining Game

As of 28 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-28T06:31:03.373048+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T13:49:27.721549Z

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

  • 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 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 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-05-18T07:36:28.841586Z digest=sha256:269555865d92da69373f524b55b2958ae0ba7e09dc956cb6ac9c27704b34cc3d

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

Resolution
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=sha256:8c1a98b0266e2a4a67d616598d541bf613b84e9443ae034c8f1b94453e7ba069

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 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-05-10T16:42:48.902337Z digest=sha256:239f0f29a18faae3a36249d266f2aa98ffe8773213403f48f68d03bbe7dbab20

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

Resolution
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 2026-07-28T06:31:03.373048+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:9410b17ba24308e185eda006cd9bdfe31399c9e0ffcabec0cfff44e65d2656bd

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 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-06-27T01:04:01.317563Z digest=sha256:471b57e1e45054770a95f643d5eea53f90b9c2fac662ca06fa6a0a4afeb50349

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 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-06-26T04:55:42.018348Z digest=sha256:9c0d4f3d78f8364ee6376534302d843a8a8393b22ee94d9e4d33de22a910eadc

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=sha256:74527f663b23af280962179e0df79ae3d0c0d0154722741443cbd72316cafdb6

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 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-07-02T15:41:13.556849Z digest=sha256:f20ee78c08681531456c7df55ebeb8d75a9e455c679da7f16e254d0c599ca32d