Pith. sign in

Paper Citation Record · LEDGER

Large Language-Geometry Model: When LLM meets Equivariance

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.11149.

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

pith.paper-citation-record.v1
2502.11149 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T12:56:04.388200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:32.781092Z

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 914d27b9-5a77-4bfd-b03d-51b31aef90c4 · inbound

Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark cites this paper.

Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark Large Language-Geometry Model: When LLM meets Equivariance

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T12:56:04.388200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:56:04.388200Z digest=sha256:cfe765645772cc7d0693c027d0fc1e059d5dd6b7daacb9f86823e683cd076fe7

Observation a17c2ef7-c8ad-46c6-a2e2-bace22fe084d · inbound

EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models cites this paper.

EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models Large Language-Geometry Model: When LLM meets Equivariance

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.783674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T17:29:08.456346Z digest=sha256:9690808794d00c88031d0cbc4b9d146c89b81f64c20a4cdaf3d06d88a1d1dc21