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Paper Citation Record · LEDGER

Unveiling the Tapestry of Consistency in Large Vision-Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14156.

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

pith.paper-citation-record.v1
2405.14156 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:07:00.889826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:18:52.833818Z

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 5f458d21-c5b7-4dbf-a0ca-533ea3693a1b · inbound

On the Consistency of Video Large Language Models in Temporal Comprehension cites this paper.

On the Consistency of Video Large Language Models in Temporal Comprehension Unveiling the Tapestry of Consistency in Large Vision-Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T17:07:00.889826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:07:00.889826Z digest=sha256:cc10ba337ede7d6e56c0037f329a12f2a42dc6dbc59dbc0e3179f706cd1ea60b

Observation 07c16031-c15b-45eb-8a98-14b19ba41a23 · inbound

Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens cites this paper.

Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens Unveiling the Tapestry of Consistency in Large Vision-Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T15:03:24.493884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:03:24.493884Z digest=sha256:f9bafc9c2dba79fd56118206e124f5e384a45c3e23700b8266077ca3b27675f2

Observation 1296e97a-dea7-40e7-bbe5-81181890416e · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Unveiling the Tapestry of Consistency in Large Vision-Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:23.219550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:23.219550Z digest=sha256:047047474bcc557fe10bb5cda56386610201a93be80f88cc0b80ecd2a184ab6f

Observation d78b58d9-4a81-4468-8160-4d7d6b3cec0c · inbound

Value-Guided Iterative Refinement and the DIQ-H Benchmark for Evaluating VLM Robustness cites this paper.

Value-Guided Iterative Refinement and the DIQ-H Benchmark for Evaluating VLM Robustness Unveiling the Tapestry of Consistency in Large Vision-Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:18:52.835893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T02:13:55.284593Z digest=sha256:e8b0bbd1ba8385eae0a6247f8ee851fae6f82e7738808dd1cea042bb11feb481