Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.12748.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:42.107573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T22:13:46.933698Z
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 773bbd09-4484-4218-be89-fefda40de718 · inbound
Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration cites this paper.
Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:04:42.107573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dced7f5c-923d-41a1-8534-89eecc32b5c7 · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:11:26.641897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb8d0319-e50c-49d0-acd0-d372645421b2 · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:47.941793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2265549c-5571-4181-8322-96506af50edf · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:13:46.938183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.