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Paper Citation Record · LEDGER

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.10075.

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

pith.paper-citation-record.v1
2405.10075 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:46.827584Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:27:14.229762Z

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 152bfeaf-8740-44a6-8d86-944b53861717 · inbound

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data cites this paper.

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T14:27:14.236326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:27:14.172270Z digest=sha256:92bbf2c5fde2161c9fc6dfda5c5cc07e0b15fad25fe282987ac664e54e47926e

Observation 2b2789ea-e37b-45d5-a90a-6cd2f679fb13 · inbound

SurgXBench: Explainable Vision-Language Model Benchmark for Surgery cites this paper.

SurgXBench: Explainable Vision-Language Model Benchmark for Surgery HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:07:46.827584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:46.827584Z digest=sha256:1b8203138c66b0f7df037346f89fc53370335469029570627b2735b7e281a3f0