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Paper Citation Record · LEDGER

Challenges in Data-to-Document Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1707.08052.

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

pith.paper-citation-record.v1
1707.08052 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:41.167491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:41:02.311896Z

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 fda8eb81-6835-44c0-9247-079af8371f51 · inbound

Understanding Design Fixation in Generative AI cites this paper.

Understanding Design Fixation in Generative AI Challenges in Data-to-Document Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-08T17:40:41.167491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:40:41.167491Z digest=sha256:d65982683043ffb7d373f76b8c7622b5e519e03143174025c6655ea4eb927ac3

Observation 60a559b0-a1ff-47b3-8686-1fbdc8e0cfe1 · 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 Challenges in Data-to-Document Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:30.585747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:30.585747Z digest=sha256:40303cbf79586bb748b5e9f8ecc13d80c160343828513448552f7cd3b97de4de

Observation e62d1c88-d2de-4412-89da-e6767eeb7335 · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation Challenges in Data-to-Document Generation

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:05:06.927053Z

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.

source=arxiv_source observed=2026-05-10T03:18:46.913340Z digest=sha256:6727760cdb94ad4c87c2413785b1f3e1d2a2ecaf73dd454a3d541cdbfbdf91fd