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Paper Citation Record · LEDGER

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.00079.

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

pith.paper-citation-record.v1
1804.00079 v1

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 2026-07-22T06:31:00.163083+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T14:31:31.260885Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T14:35:57.406985Z

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 e8ee3db1-0704-4722-9ae7-bf2de602f564 · inbound

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cites this paper.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-25T14:35:57.409557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-25T14:31:31.260885Z digest=sha256:c0266f949742e742f4ebb1d2dca3fdf9fb16c739aa8dd99329e7aee60e4063fc

Observation c95d1da7-f59b-4fcc-9b88-b11ccbb49d7c · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:37:55.968417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T05:37:55.083206Z digest=sha256:46171b4fbc8ffb475f5b13a2bd64f4f7d56b71773df81779395f78300834158d