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Paper Citation Record · LEDGER

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.16664.

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

pith.paper-citation-record.v1
2402.16664 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:24:41.800768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:18:52.897405Z

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 1364a83a-d1d5-43b2-b4a7-9bd48d7799e3 · inbound

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery cites this paper.

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T18:24:41.800768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:24:41.800768Z digest=sha256:89139aee925c9f3c84fe77e206b6456f60e513af0e187002a41252c997a6c288

Observation 85baab97-ab37-4fb8-a0be-6c7e13fa04b0 · inbound

Continually Evolved Multimodal Foundation Models for Cancer Prognosis cites this paper.

Continually Evolved Multimodal Foundation Models for Cancer Prognosis LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T00:29:02.026335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:29:02.026335Z digest=sha256:043f4bbd10d7739a1647387b12a950bd2128fccbab87f79573b91b4ed957a4f6

Observation e5fb0385-42c9-4c01-b42c-f100ad7e6655 · inbound

Knowledge Swapping via Learning and Unlearning cites this paper.

Knowledge Swapping via Learning and Unlearning LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T10:59:57.088902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:59:57.088902Z digest=sha256:d1601ae6b316bf71115cd91e4ad94cfac7e116bd2c87eae0fff526271d5fcc52

Observation 911b0418-63a3-4064-8520-d5ed2a09d0d5 · inbound

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning cites this paper.

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:12.276314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:12.276314Z digest=sha256:202afae94370429a8dabe87198e210aad24f40579e7cefc2b02d678582124994

Observation 12a85b7a-e3a9-4573-a44a-b58b722c23b6 · inbound

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding cites this paper.

SA-OOSC: A Multimodal LLM-Distilled Semantic Communication Framework for Enhanced Coding Efficiency with Scenario Understanding LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:18:52.958071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:18:49.976243Z digest=sha256:69549126703166521ebc2198c74dde114ff19ff3244d63fc20b65cb39f0fa5d3