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Paper Citation Record · LEDGER

Toward Visual Grounding: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.20206.

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

pith.paper-citation-record.v1
2412.20206 v4

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 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:34:38.310883Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:51:37.617683Z

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 eb7669dd-b3d6-4e24-938c-9ef05261b3a4 · inbound

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models cites this paper.

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models Toward Visual Grounding: A Survey

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-08-05T02:51:26.382149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T13:47:51.436258Z digest=sha256:6157eee2d3e2a2a7c9568a898442e2afe7297870c27361fd7649dbcde7ad6aac

Observation 2e77bf65-a5ce-412f-873c-d7c3da2d502a · inbound

DRISHTIKON: Visual Grounding at Multiple Granularities in Documents cites this paper.

DRISHTIKON: Visual Grounding at Multiple Granularities in Documents Toward Visual Grounding: A Survey

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T22:34:38.310883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:34:38.310883Z digest=sha256:c39ae48a2b4d45947607f56721c3f9763c318be52b5dd790641a593dd3875d77

Observation dee7efab-2529-45dd-9bc8-a373ac27b4a1 · inbound

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding cites this paper.

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding Toward Visual Grounding: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:50.063176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:50.063176Z digest=sha256:24a331d0c244cce93077f973dcdc4ff9430164351616a93bcf6130d67bcb9ebf

Observation 269da2ca-894d-4bbf-86ed-b958b5db2285 · inbound

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval cites this paper.

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval Toward Visual Grounding: A Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T17:25:01.029809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:25:01.029809Z digest=sha256:90a61b3a1dc2a53b10fbc1ad6d82e189262de2c1a2c9af9b8daba9523e04004c

Observation 425dcbab-846a-4168-b6ea-809705ea9b3c · inbound

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks Toward Visual Grounding: A Survey

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-08-05T02:51:26.382149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T11:09:51.816554Z digest=sha256:4698257d0a18ebf3e0744175e76679113008abf979195dee8604bd81e5796629

Observation 7e675ac4-be81-40a8-b954-bbfabdfce17c · inbound

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment cites this paper.

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment Toward Visual Grounding: A Survey

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-08-05T02:51:26.382149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T01:38:09.299209Z digest=sha256:6f5863461e7fe702bca1f6f232fd2cafc514257bbd337d1cdea43ba08837a067