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Paper Citation Record · LEDGER

AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04603.

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

pith.paper-citation-record.v1
2407.04603 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 2026-08-02T00:44:49.747631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:52:35.628645Z

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 5e88f8c1-e043-4164-8ddd-31d0188c2035 · inbound

Demystifying the Optimal Fair Classifier in Multi-Class Classification cites this paper.

Demystifying the Optimal Fair Classifier in Multi-Class Classification AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:52:35.630441Z

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=2026-06-28T18:49:29.377237Z digest=sha256:d7df8b23873b20b71f1848de77d5bd553a912bb63e2a08548660d9a9c0191bfd

Observation 5939ccc1-f8be-42e1-91cf-a1dc4dec07c9 · inbound

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding cites this paper.

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-02T00:44:49.747631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:44:49.747631Z digest=sha256:6986ecf37b2e9caa00ae5b3c3add2f5210a5c75e4f54a2731bdb67bad47cd17a