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Paper Citation Record · LEDGER

Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.20008.

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

pith.paper-citation-record.v1
2502.20008 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:39:01.070939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:39:09.548377Z

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 5d1d25e0-ef6a-4b2e-8a3a-e1587d0e8c5e · inbound

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning cites this paper.

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:39:10.785251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:39:01.070939Z digest=sha256:b386db7f7396156fd6c0f51ceb39008c31a7d3aa06feb0a17ce0f8b19cd81b9a

Observation a0c256f8-118b-46ad-8321-8af2be4a9b0c · inbound

Recurrence Meets Transformers for Universal Multimodal Retrieval cites this paper.

Recurrence Meets Transformers for Universal Multimodal Retrieval Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T20:06:09.094045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:06:09.094045Z digest=sha256:8c64ddf7095520b126d4ba1d831ff63be10dc2bfe344332d87e08a76139af3e4