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Paper Citation Record · LEDGER

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2112.13906.

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

pith.paper-citation-record.v1
2112.13906 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:06.852295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.358634Z

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 9a3440f3-bbb9-4565-b977-3fd864f3f479 · inbound

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:42:22.455703Z

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=2026-05-13T10:42:22.378367Z digest=sha256:8cba6891142746f62dd3d27f8afbcc3369ffb71ff46802f9b6b3e9f7fbf6e55c

Observation 1253e8ae-703d-481f-a8ee-ad8737c6c709 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:53.045700Z

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=2026-05-24T04:13:05.328492Z digest=sha256:c80374f0bc58568259c3e8394ca442a4f7516d0b0c377029962de3b4efdc6239

Observation a18ae110-5f86-45ee-b14d-4347e8e05511 · inbound

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis cites this paper.

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:37:15.143976Z

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=2026-05-19T10:34:28.875334Z digest=sha256:8adc61d2743d18bec397c49ba26c36eb50b41446ac6b01acad7a899b4edb9c3f

Observation da3006bc-2a3e-4827-a30f-e1cb6c25853c · inbound

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning cites this paper.

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:06.852295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:06.852295Z digest=sha256:b648e3b93e734eb2345b26f5c474b25371375ef03bc523898357beaefb4368b2

Observation ccb3c126-1df2-4150-a4e6-468ddb3e62d0 · inbound

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models cites this paper.

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:04.632061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:04.632061Z digest=sha256:2d8bb1de4c70e9dfa709c919075b7e438928801097bbf2e0d6dc307a524d7c93

Observation fca317d1-0493-4faa-b198-6f911d0aaf6e · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:25.038638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:02:25.038638Z digest=sha256:8dd9dc7d04b66e0a946352bfa2bfda875668d8bfc7f84f54d2c0f0e2bb65702b

Observation df982fbe-0fad-4113-b25f-48f58704bd8e · inbound

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models cites this paper.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:15:13.302139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:15:13.302139Z digest=sha256:a625130b16e2b23c9a3ad88a4743b207d6f093c5921b882d4126fa68aa640a34

Observation b4f7a10a-0182-41a5-a26b-c32e6ebd09de · inbound

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation cites this paper.

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:23:41.047579Z

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=2026-05-20T19:18:54.747828Z digest=sha256:fd2967600e31624ac2369f4f58b781ebd118f29e63862e9bc67114cc543e7919

Observation d48379c2-451b-4338-902e-0921ee07d167 · inbound

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain cites this paper.

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.326764Z

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=2026-06-28T06:40:00.643198Z digest=sha256:fad304fb13eed129eb3270231e8117e164fb80ee14bdc5d21b0348d8ff6453a4

Observation 8654be57-58df-4174-af77-925585a79198 · inbound

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models cites this paper.

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.146118Z

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=arxiv_source observed=2026-06-28T06:34:42.631503Z digest=sha256:7158bf051b0f368fc2ad3249664f6cebd23aabfd0ecf9badb9c4388e685e398b

Observation f311d815-f819-45e7-a1cc-a7113c79f018 · inbound

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies cites this paper.

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:29:44.360421Z

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=2026-06-26T08:53:14.124335Z digest=sha256:75978852a0d9266a273e3c8c8d0fbe821f1e9ca4390d328231c9ee5417bee913