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Paper Citation Record · LEDGER

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.16863.

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

pith.paper-citation-record.v1
2411.16863 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:44.356720Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:57.664359Z

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 8109059b-35dd-4671-8911-22da5803b3ed · inbound

Towards General Continuous Memory for Vision-Language Models cites this paper.

Towards General Continuous Memory for Vision-Language Models Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:44.356720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:44.356720Z digest=sha256:9cefee8e751a2f984ecdd0bd548e416f02322be3da59594881edb2f086527958

Observation da91c099-b84d-4551-8bd6-523da596ae4e · inbound

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments cites this paper.

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:55:45.258885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:55:45.258885Z digest=sha256:1bd123beafc078c86ba65d6e02bd63d8d3ab5b4209190540e59be5bf15b2144b

Observation 4882e389-ddcf-4108-8eca-840a641f684d · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:57.667225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T01:23:40.564561Z digest=sha256:cff6c87878542fad08103dbdcc820144584347bccb9b15df67871b255077ea47