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Paper Citation Record · LEDGER

Cross-Entropy Loss Functions: Theoretical Analysis and Applications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.07288.

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

pith.paper-citation-record.v1
2304.07288 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:29.602768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:53:21.387146Z

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 7dc17c9a-8984-4e68-82b8-280b31dbb8b6 · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:34:04.805017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T09:34:04.394588Z digest=sha256:00f37e84bb25719b8e72febfdf4bc2f64c0c12db995690d2c4185ab51c6f0b95

Observation fc071024-a77d-4008-8cff-3ba445d6185e · inbound

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees cites this paper.

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:53:21.389827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T18:49:39.718108Z digest=sha256:3a58e58c7e9eb0308e423a2cb7703883c2eae98f366af2d28a98e0ddf9ad4993

Observation 5d3b5fd9-2f53-40fb-9ee8-2ea26aeb203c · inbound

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning cites this paper.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:29.602768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.602768Z digest=sha256:a325b1978f42da51c0cddc767d0cc26986337e9068981c04c295ed0a7760873a

Observation 26f2e18f-9047-486e-85b4-867eb85afcb6 · inbound

TFOC-Net: A Short-time Fourier Transform-based Deep Learning Approach for Enhancing Cross-Subject Motor Imagery Classification cites this paper.

TFOC-Net: A Short-time Fourier Transform-based Deep Learning Approach for Enhancing Cross-Subject Motor Imagery Classification Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:06.921152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:06.921152Z digest=sha256:752033b55b4ec60ca30efaeb7fde5274a9e768c368fc5f8dbe4d946307a89ea9

Observation a9802d2a-b5e2-4ee9-a2f4-d4c808ddf54e · inbound

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation cites this paper.

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:27.446799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:27.446799Z digest=sha256:331ec52b99a1feca2fa9c8dd36fe2f5a595defda6756fc47324fc98a326101d0

Observation 24a544a4-2d64-4c8d-8ab6-e36389e022ed · inbound

FusionSort: Enhanced Cluttered Waste Segmentation with Advanced Decoding and Comprehensive Modality Optimization cites this paper.

FusionSort: Enhanced Cluttered Waste Segmentation with Advanced Decoding and Comprehensive Modality Optimization Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T15:31:15.871993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:31:15.871993Z digest=sha256:a916696ac8704062c5014d9097fca09917667aa72d42c88dd6ac2750b11bbb08

Observation 3c493972-7332-4995-a5e5-89af6d613a04 · inbound

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T10:20:01.295903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:20:01.295903Z digest=sha256:0bdf3e7aba6b1996b712b3b87aaaf0ea6791d40c20d1fd23d84f478f0856ee28