Pith. sign in

Paper Citation Record · LEDGER

Decoupled Global-Local Alignment for Improving Compositional Understanding

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.16801.

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

pith.paper-citation-record.v1
2504.16801 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T21:50:27.380019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:52:48.227230Z

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 5720f201-903b-406d-800f-b9a3c3108b62 · inbound

AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce cites this paper.

AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce Decoupled Global-Local Alignment for Improving Compositional Understanding

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:59:49.713634Z

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=2026-05-10T00:55:56.146885Z digest=sha256:790d867f7c24616e93ed9c20cb830dfc8541bf3b560006c04481402399cfa8c2

Observation 466dd650-dc8f-41ac-97dd-96a4eabb4bf6 · inbound

GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations cites this paper.

GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations Decoupled Global-Local Alignment for Improving Compositional Understanding

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:52:48.229243Z

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=2026-05-19T21:50:27.380019Z digest=sha256:b5360f15733ee5198b3869bd5eff6fc54ffd48747601db2e2184e969afccb00a