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Paper Citation Record · LEDGER

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.15351.

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

pith.paper-citation-record.v1
2402.15351 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:23.006198Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9dead06f-7f62-4a35-996f-cdfc7691b96c · inbound

NADER: Neural Architecture Design via Multi-Agent Collaboration cites this paper.

NADER: Neural Architecture Design via Multi-Agent Collaboration AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T00:52:23.006198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:52:23.006198Z digest=sha256:6e2a82e9dbabb371fb0c72a14e91406bb4fbb70c9bc5b45cee86e0e0cef5b60a

Observation a625f94b-a15b-456b-9657-d60328cbe91e · inbound

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers cites this paper.

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-26T21:40:08.311451Z

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=2026-06-26T21:36:17.228002Z digest=sha256:631b4412b0c82ec72365068b3a08ee481e2cd3deecaa63951fb1e43ebeb602a6