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Paper Citation Record · LEDGER

Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.05977.

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

pith.paper-citation-record.v1
2303.05977 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:00:48.990829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:34:11.739419Z

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 2da688ab-d83c-48ed-a20e-06d380712c05 · inbound

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cites this paper.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:34:11.742873Z

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=2026-05-24T08:33:16.436778Z digest=sha256:7fe3a2daad9572cc13d93833c2b3cf2dfee9526db28243aae9c6c0d07ad0604b

Observation 62da44b4-f716-4929-9121-3ef80dfec801 · inbound

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models cites this paper.

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:48.990829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:48.990829Z digest=sha256:203abe7f2c9e26a14251efb7501f88d23eed56caafc579d514bad9d4d5498481

Observation ff2c1ea8-1ed4-4a18-9b0c-41b0ae12570d · inbound

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models cites this paper.

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:19.600144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:19.600144Z digest=sha256:22d4e38f532489924f4f54886c95f7980646a819a77dacb90bc560ab36718ee8

Observation 7f9771bc-cce5-4c08-b089-e7182919ab72 · inbound

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering cites this paper.

Adapting Lightweight Vision Language Models for Radiological Visual Question Answering Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:27.807414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:27.807414Z digest=sha256:fc69d834e3d14c60b37e059a9bac3723c964b3f77be19a59831ecd81fc3fccbe

Observation 3ed246d2-9161-4c56-aa65-de9adab2d12f · inbound

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models cites this paper.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:27.469426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:27.469426Z digest=sha256:8d369339ceae6f42a6a9aa14aad006b99cbe946470858fddd71a5eb8e14e2039

Observation c46c0616-a5cb-43c2-888f-13cef66c9cd9 · inbound

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning cites this paper.

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:43.204129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:43.204129Z digest=sha256:cfd6d24216aa64aaf4440e05f1d4d4e3f0a50130435512c4741aadd81d95af54