Pith. sign in

Paper Citation Record · LEDGER

Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2010.05874.

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

pith.paper-citation-record.v1
2010.05874 v1

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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:20:38.399019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:37:15.971845Z

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 b60273fd-11f9-4a60-a61d-f52a6d896b45 · 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 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T16:20:38.399019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:20:38.399019Z digest=sha256:65f330cd2186a855cfdf7dd095a132e4fdc4cbfbfa4d36b838394d7f88c6c79c

Observation eb27f032-2d42-4f6e-ad24-a506391ee148 · inbound

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification cites this paper.

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:16.763718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:16.763718Z digest=sha256:058678cc8d71bd623af0acb8d0435ba669bc1600010aabfec12468a665c1bc76

Observation 55a05229-1b0a-4dab-be7d-3c27c02fc372 · 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 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:52.541069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:52.541069Z digest=sha256:5b832977ddf54b572ba6e65a9564722a8f09d6e6b2f8b2d32a7de4f183150a42

Observation eaf36314-8a30-4bb4-90f5-b1c2bf356052 · inbound

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T04:17:27.200613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:17:27.200613Z digest=sha256:405b40695e9615fc7b167e777a34e8808eeff58aebd00293ff44a5b798bac9e3

Observation 1481a617-2797-41a2-aa80-a1ae87429c60 · inbound

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization cites this paper.

DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:43:17.238742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T12:39:50.004269Z digest=sha256:b8a8b66016513ed8cbb3c8e8448be4a4f9a12397d6320a05b881e95a59c2c749

Observation 9864cb5d-0b87-4e16-93b1-b64d564867dd · inbound

Exploring Line Bundle Standard Models with Transformers cites this paper.

Exploring Line Bundle Standard Models with Transformers Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T18:37:15.973339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T18:34:23.173135Z digest=sha256:89e5c572d1fe3d42d2857bd3afe0e1df23263971613c289229133eae5ce6a036

Observation 237b8911-ddeb-4ffb-a177-2def4249ff53 · inbound

Exploring Line Bundle Standard Models with Transformers cites this paper.

Exploring Line Bundle Standard Models with Transformers Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-02T09:22:54.429266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:22:54.429266Z digest=sha256:eb671caa693564991ccd909f03e90075fbbe1a3c206d669fd1b432e9f19154f1

Observation fb4dff3b-b020-4250-ad50-0c996a57523b · inbound

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs cites this paper.

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T03:50:58.258747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:50:58.258747Z digest=sha256:9087f9eaf0602a59fd0bb32fab929b144d0d9bd7c501e0a5689fff9e3be66d7d