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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T10:42:22.378367Z digest=sha256:18f9e485b253f8c37f4ab232ea5155059b94e126925cf5faf84d9dee27bcf140

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:329ddc98f6c5046e82df85bd2c590937444cb192ef5fee75849b7f013d02d838

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T10:34:28.875334Z digest=sha256:100535c1c8dec6f2de70e7b7d0da29b8fbb97605687eeb10e5192b51799fe2c5

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:dcf0db69cd17aee9aea644f68adab77439fd51ee70a1a96d1cc591729e9b0ae3

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=sha256:8f83464d3b1ddeadbe0f914f927b2d73333b65de37464eb2cf6a5114b9960cb2

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=sha256:46eeb4a39632e4962358e222a39952ddf664ffcffa45ad1ebf29186b15bedcf2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T19:18:54.747828Z digest=sha256:93d13c7acf50767a53f859a843bd034e0c01ec7ee71c44de55703c06824eed32

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:40:00.643198Z digest=sha256:146b92f666f3ebb6a614a99af81d4660a909496f99814421d97c03450fa8d0bc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:34:42.631503Z digest=sha256:c2cc61a4868d378935128f7c2f471e41f6a392fafb7972af4e29780840347081

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T08:53:14.124335Z digest=sha256:dc31e712f34bc719e618d4f154ca11dc2ac3de7d42e50a349842c8e523e42a9c