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Paper Citation Record · LEDGER

Large Language Models as Automated Aligners for benchmarking Vision-Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14580.

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

pith.paper-citation-record.v1
2311.14580 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:51:25.705056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:57:27.648107Z

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 3b5fe3cc-cb98-4dd6-aad3-c45194caa9b6 · inbound

CHIRP: A Fine-Grained Benchmark for Open-Ended Response Evaluation in Vision-Language Models cites this paper.

CHIRP: A Fine-Grained Benchmark for Open-Ended Response Evaluation in Vision-Language Models Large Language Models as Automated Aligners for benchmarking Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T19:51:25.705056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:51:25.705056Z digest=sha256:6ea499246c95d8507b73e4dad436d90a1033465c991ef179f6fea4e0a68941d7

Observation d77d601e-00d1-4406-ab91-1fad6bff7ee2 · inbound

SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models cites this paper.

SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models Large Language Models as Automated Aligners for benchmarking Vision-Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:57:27.651802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T06:56:10.053418Z digest=sha256:9f32cbe787bc8ab7a4d0942bcc9f4c62cb1f4d71a135d30818125ce069d8f626