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Paper Citation Record · LEDGER

Task-based Loss Functions in Computer Vision: A Comprehensive Review

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.04242.

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

pith.paper-citation-record.v1
2504.04242 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T16:40:48.706461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T16:44:16.229090Z

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 d29d7000-c977-4fa3-8f13-2eadaa200875 · inbound

FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations cites this paper.

FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations Task-based Loss Functions in Computer Vision: A Comprehensive Review

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T16:44:16.231893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T16:40:48.706461Z digest=sha256:3538b614a9387af7aaa811960e41e2449453e236df8e5c591b7b329a0deace56

Observation 74507de2-4e31-4316-b105-59d7745254f9 · inbound

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks cites this paper.

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks Task-based Loss Functions in Computer Vision: A Comprehensive Review

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:00:46.978647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T08:57:52.519507Z digest=sha256:f6969cf25ec1d2d48a761691fd7a8380c50be211417c34e90c2edf71c51cb59d

Observation 09813c8e-9ad6-4a46-91dd-8e9da74671a8 · inbound

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration cites this paper.

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration Task-based Loss Functions in Computer Vision: A Comprehensive Review

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:04.446520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T16:07:20.180349Z digest=sha256:c472ff36a485b4ef5e1f93ef931a922ba15af3bf2ec293cf165ee4b3b109cd74