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Paper Citation Record · LEDGER

End-to-End Multi-Task Learning with Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.10704.

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

pith.paper-citation-record.v1
1803.10704 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:13.742442Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:09:14.031023Z

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 a3a21c7d-8873-4a50-9b2f-ce4a45658236 · inbound

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production cites this paper.

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production End-to-End Multi-Task Learning with Attention

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:09:14.076141Z

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=2026-08-06T18:09:13.742442Z digest=sha256:fcb24e66ded66d6a6dea34507938cdc1b07917b3ddc73663742746e24b36a12a

Observation 3086cdc2-037c-4355-8046-8ffae4a4e259 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins End-to-End Multi-Task Learning with Attention

Reference 87

Resolution
unresolved
no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:6e7dac1209b2fbcd1dd0e2e26a10aaf2f3e1ccf97a44effaaf48cef6826d2a28