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Paper Citation Record · LEDGER

MT2ST: Adaptive Multi-Task to Single-Task Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.18038.

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

pith.paper-citation-record.v1
2406.18038 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:17.031547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:28:59.334730Z

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 55e628ee-cdee-4d60-ad0f-da3aec743336 · inbound

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation cites this paper.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.031547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.031547Z digest=sha256:e885c6511d1bbff2e6a86a55823603fcf6a24b05093d10e0a7b5822a11f8c910

Observation beb8aa04-545b-40f6-a694-cc79f457948e · inbound

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.101872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.101872Z digest=sha256:872ce786a22ce3cc21ae0da66975ad80c18fa9188627fae7bc6734c474460c45

Observation 96f2daca-057f-4ad8-b23c-2a679fafb977 · inbound

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms cites this paper.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:28:59.475840Z

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=2026-08-06T23:28:56.984746Z digest=sha256:068860cf7b284b601616c6bc7fec32c30feb9fd83170f4d14ba7a4415ebeae2c