Paper Citation Record · LEDGER

Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.06510.

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

pith.paper-citation-record.v1
2404.06510 v2

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:19.959460Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:35:41.922397Z

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 d9b18108-c5bd-485e-90c2-7b1438f97713 · inbound

Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning cites this paper.

Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:19.959460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8218fbb1-3a2d-4e95-9b6e-be8eca7651ba · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:24.979315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30af3c01-aba0-4957-83e0-8056f9eac738 · inbound

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions cites this paper.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:19.216357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca20c80-5653-48d1-a572-ae881d322c97 · inbound

ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents cites this paper.

ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:35:41.925254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3e83c79-bc31-40b7-9e6d-d93cfdfa3f97 · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 227

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.