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Paper Citation Record · LEDGER

Text-to-Text Pre-Training for Data-to-Text Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.10433.

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

pith.paper-citation-record.v1
2005.10433 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:12:29.680788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:57:25.111835Z

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 8a4f9741-275f-4f88-94a3-02c2f908f3b8 · inbound

Prefix-Tuning: Optimizing Continuous Prompts for Generation cites this paper.

Prefix-Tuning: Optimizing Continuous Prompts for Generation Text-to-Text Pre-Training for Data-to-Text Tasks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:57:25.114739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T16:57:24.816495Z digest=sha256:37cdb88d8a94694109c81424926bc2eadfdf655653dfee8a697164f7e1658b82

Observation 70bc8335-01b5-4796-a38a-b642b5c76771 · inbound

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs cites this paper.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Text-to-Text Pre-Training for Data-to-Text Tasks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:29.680788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.680788Z digest=sha256:a53be9f3034c22da5f23d83cd3b85f98bc487d7829418893a151ca47d1b2f67d