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Paper Citation Record · LEDGER

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1803.08495.

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

pith.paper-citation-record.v1
1803.08495 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 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:17:37.135761Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T16:57:09.754719Z

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 48a4b0e3-ea51-43ed-a32a-26848911f82e · inbound

Be Consistent! Improving Procedural Text Comprehension using Label Consistency cites this paper.

Be Consistent! Improving Procedural Text Comprehension using Label Consistency Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T19:26:09.676151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-25T19:23:08.261832Z digest=sha256:3ee42b27a3d53cbc489a3d2ef1fa4dd46de9cf8cab27c27efc471522d738636d

Observation 43f9d77c-f683-4955-aaca-31f1e1d61202 · inbound

DreamFusion: Text-to-3D using 2D Diffusion cites this paper.

DreamFusion: Text-to-3D using 2D Diffusion Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:27:10.569387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T11:27:10.287358Z digest=sha256:6010ed6f97c8f03238ceea18643f71c540a3addb29414cf0c7c6125405a1e73a

Observation 0e763e73-b703-4bd1-a010-71ec3d842d64 · inbound

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment cites this paper.

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T16:57:09.756044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:17:37.135761Z digest=sha256:c374924f7cc4ae71406df2cd5818a5491835e93c9969138ec2a5d6ba4b60ccd8