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Paper Citation Record · LEDGER

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.01433.

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

pith.paper-citation-record.v1
2408.01433 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:44:53.564949Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.206217Z

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 4242cdab-0b78-448a-8986-fa003002b18c · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.207583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:904bbd50349f4abeee40950da2efb12fa4146cb3b4095fb2a4ead27a917a487a

Observation 7268c621-6c65-4c78-a7f2-e7be7054f33a · inbound

Can Urban Blight Be Accessed with Vision-language Models: A Case Study in Detroit cites this paper.

Can Urban Blight Be Accessed with Vision-language Models: A Case Study in Detroit Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T21:44:53.564949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:44:53.564949Z digest=sha256:9ce478a2fac4773c431eddddefd952277fab72657b3eec14215712c346aa0281