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Paper Citation Record · LEDGER

Language2Pose: Natural Language Grounded Pose Forecasting

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.01108.

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

pith.paper-citation-record.v1
1907.01108 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:24:37.932270Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T18:16:16.850658Z

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 373cc8ca-0f9d-475a-a30b-8758fee45f50 · inbound

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold cites this paper.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Language2Pose: Natural Language Grounded Pose Forecasting

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T17:24:37.932270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:24:37.932270Z digest=sha256:afd8466cf09bd857b89475678c7cdcbb4a6732dfd703d202e5671f5077ec91c3

Observation 6da42198-1ca8-463e-a777-7d5863acb2ba · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Language2Pose: Natural Language Grounded Pose Forecasting

Reference 127

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:06:42.227974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:06:32.922879Z digest=sha256:fd86bea4b70c0bc803e43b6f945010a7389460ee500ac78524f4ad06a3049326