Paper Citation Record · LEDGER

A Survey on Multi-Task Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1707.08114.

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

pith.paper-citation-record.v1
1707.08114 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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:29:59.744263Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T17:11:04.379521Z

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 d1cc09fd-a8e0-48d3-8e4f-552f310d5dec · inbound

Efficient Multi-Domain Network Learning by Covariance Normalization cites this paper.

Efficient Multi-Domain Network Learning by Covariance Normalization A Survey on Multi-Task Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-25T17:11:04.387292Z

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.

Observation 23178242-9b4a-4870-beb3-e45699de44d0 · inbound

Multitask Learning for Blackmarket Tweet Detection cites this paper.

Multitask Learning for Blackmarket Tweet Detection A Survey on Multi-Task Learning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T00:00:08.099405Z

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.

Observation 20fca7cd-0d80-4653-a317-5101e07f5dde · inbound

Machine Learning in Gamma Astronomy cites this paper.

Machine Learning in Gamma Astronomy A Survey on Multi-Task Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T21:29:59.744263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef99e5c3-bf0d-4832-a3cd-8c8eb66f53e0 · inbound

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning A Survey on Multi-Task Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T18:50:49.950148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b358ae70-9c54-42de-b4cb-44e158ccf89e · inbound

One Joke to Rule them All? On the (Im)possibility of Generalizing Humor cites this paper.

One Joke to Rule them All? On the (Im)possibility of Generalizing Humor A Survey on Multi-Task Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:38.959207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d499ff4f-34ea-4a1e-ae26-de75af21cb6d · inbound

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training cites this paper.

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training A Survey on Multi-Task Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T10:33:54.495513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f571bc2c-dfdf-4aef-ae9f-647676277528 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts A Survey on Multi-Task Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:29:48.254973Z

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.

Observation 1889fe8c-ca34-4423-bcac-c05ed8e3b587 · inbound

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks cites this paper.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks A Survey on Multi-Task Learning

Reference 55

Resolution: malformed identifier; no resolver link, observed 2026-07-31T19:04:35.605347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.