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Paper Citation Record · LEDGER

DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.05091.

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

pith.paper-citation-record.v1
2502.05091 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T13:49:27.721549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:04:04.564701Z

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 41515c9d-78eb-4bda-9f62-a0d8bd3239c4 · inbound

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training cites this paper.

GreenRFM: Learning a resource-efficient radiology vision-language foundation model via supervision-centric pre-training DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-15T13:49:27.721549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:49:27.721549Z digest=sha256:903725bf1960ad9804f55636025295b99f4a22563f4d05df5a360a959f1a1095

Observation b641ae26-628b-4a9d-82e2-480f236dfd1f · inbound

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation cites this paper.

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:46:43.213228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T04:22:26.340374Z digest=sha256:5e9af26946f2eeb9f89a042937887dad3f8da57bd2964dc327be9802f82b9bca

Observation d8cad099-a01a-49af-b433-1072ea394c17 · inbound

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation cites this paper.

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:58:24.707647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-20T14:54:59.212600Z digest=sha256:5d00bbcf40cec02c3238670a36ab625fe18d0cfaa43e43e1e830bd6b45937633

Observation 60510827-52e7-417c-baba-c88185d2e735 · inbound

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation cites this paper.

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:04:04.566460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T09:01:38.453097Z digest=sha256:8de5d2441256fef5a3cea9a62b7384a0a26d31c961d932f5a078e720168424c0