Paper Citation Record · LEDGER

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.04297.

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

pith.paper-citation-record.v1
2506.04297 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:54.345309Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy18
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28976e51-b577-41c8-b9f6-3802d596d58f · outbound

This paper cites Lessons from a dragon fly’s brain: Evolution built a small, fast, efficient neural network in a dragonfly. why not copy it for missile defense?.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Lessons from a dragon fly’s brain: Evolution built a small, fast, efficient neural network in a dragonfly. why not copy it for missile defense?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:00.449553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f964bf9-52c0-4004-af4a-87198b5e5ddb · outbound

This paper cites Redefining neural architecture search of hetero- geneous multinetwork models by characterizing variation operators and model components,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Redefining neural architecture search of hetero- geneous multinetwork models by characterizing variation operators and model components,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:59:00.160826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b665803c-0a58-4b2f-be49-f78f3201b13e · outbound

This paper cites Zero-shot neural architecture search: Challenges, solutions, and opportunities,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Zero-shot neural architecture search: Challenges, solutions, and opportunities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:59.917015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35e344c5-1e97-4ddb-835f-5429f5b9451d · outbound

This paper cites Weakly supervised text attention network for generating text proposals in scene images,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Weakly supervised text attention network for generating text proposals in scene images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:59.616382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5663a2b4-149a-41e1-9a01-23925abfabfa · outbound

This paper cites Deep features class activation map for thermal face detection and tracking,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Deep features class activation map for thermal face detection and tracking,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:59.355230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18066093-a957-40c6-b5cf-c86acdaf5b22 · outbound

This paper cites Learning of counting crowded birds of various scales via novel density activation maps,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Learning of counting crowded birds of various scales via novel density activation maps,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:59.050761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c8f18d3-5a63-4e61-96f4-e38d7df3182f · outbound

This paper cites Task-aware weakly supervised object localization with transformer,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Task-aware weakly supervised object localization with transformer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:58.829177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 038da860-35d5-4281-9da0-f5305b3a212e · outbound

This paper cites Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:58.571117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce63236f-e38b-44a7-8644-34af187ebd67 · outbound

This paper cites Memory-based cross-image contexts for weakly supervised semantic segmentation,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Memory-based cross-image contexts for weakly supervised semantic segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:58.288847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b44163f-b53a-4b4f-9cdd-aafc827f2201 · outbound

This paper cites Background- aware classification activation map for weakly supervised object localization,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Background- aware classification activation map for weakly supervised object localization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:58.024768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6be0fb74-3f83-4254-9c13-c17064ea5582 · outbound

This paper cites Learning to recognize actions on objects in egocen- tric video with attention dictionaries,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Learning to recognize actions on objects in egocen- tric video with attention dictionaries,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:57.710813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b53cbe0-d45f-40f2-b161-b8f8fc6c3e12 · outbound

This paper cites Ts-cam: Token semantic coupled attention map for weakly supervised object localization,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Ts-cam: Token semantic coupled attention map for weakly supervised object localization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:57.442303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 326afe9c-e72a-4f84-b78d-e349e83fe3dc · outbound

This paper cites Regularized loss with hyperparameter estimation for weakly supervised single class segmentation,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Regularized loss with hyperparameter estimation for weakly supervised single class segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:57.184224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b820ce9e-fdec-438a-8bec-7d06d4c8df6c · outbound

This paper cites Translation-classification loss for sar image understanding with deep learning,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Translation-classification loss for sar image understanding with deep learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:56.899592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40e5bd40-47f2-498a-9c02-3fcfdb3208f9 · outbound

This paper cites A class activation mapping guided adversarial training method for land-use classification and object detection,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning A class activation mapping guided adversarial training method for land-use classification and object detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:56.651505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c37d4151-392b-4f41-80b5-07f0e7756601 · outbound

This paper cites Class activation map-based data augmentation for satellite smoke scene detection,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Class activation map-based data augmentation for satellite smoke scene detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:56.319436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65382f98-06d3-40fc-9384-48a89b39913d · outbound

This paper cites an unresolved cited work.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:58:56.051333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8a00cc0-f948-42c3-91f7-a0200588cfac · outbound

This paper cites an unresolved cited work.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Unresolved cited work

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-07T10:58:55.278456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c1c478d-fee1-471c-89bd-5ff18fcc4390 · outbound

This paper cites On the difficulty of training recurrent neural networks,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning On the difficulty of training recurrent neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:55.811053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2f6f8b7-b645-4ec4-abb5-1a4d25d3ecc6 · outbound

This paper cites Captcha: Using hard ai problems for security,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Captcha: Using hard ai problems for security,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:55.548680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2579329f-13f0-4f60-9ad0-8798517d5ad7 · outbound

This paper cites Geometrons - ghost symbols - buried information,.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Geometrons - ghost symbols - buried information,

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T10:58:54.937409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e9120be-d9f7-447b-827b-d96f542b18e7 · outbound

This paper cites an unresolved cited work.

Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T10:58:54.656275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.