Paper Citation Record · LEDGER

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.07779.

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

pith.paper-citation-record.v1
2506.07779 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:34.660763Z

measured 19 of 19 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 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

19 of 19 outbound references displayed

verified exact0
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8309cd8b-c0cf-40c0-a680-bdb659c3f01c · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:35.053722Z

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.

Observation b89fdfff-6071-447c-8c05-4966bd1f8bd5 · outbound

This paper cites Segment anything,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Segment anything,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.551042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55d49ea-5783-4aba-a722-a8aa55a4aa30 · outbound

This paper cites Image fusion techniques: a survey,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Image fusion techniques: a survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:35.019873Z

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.

Observation dffec129-9cf3-4006-9362-ecf375a81ac9 · outbound

This paper cites Pa- fusion: A general image fusion network with adversarial representation learning,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Pa- fusion: A general image fusion network with adversarial representation learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.999168Z

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.

Observation 48220f14-f074-4d5e-826e-2e580e5d5e1d · outbound

This paper cites Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.569984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8d81d1-d50b-41a3-8d1e-af833911d693 · outbound

This paper cites Detfusion: A detection-driven infrared and visible image fusion network,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Detfusion: A detection-driven infrared and visible image fusion network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.962738Z

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.

Observation a4740643-ce4e-48d2-8222-cbf89012aba4 · outbound

This paper cites Sedrfuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Sedrfuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.941128Z

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.

Observation d90285b8-668c-445c-a092-1bb8acd017b2 · outbound

This paper cites Mafusion: Multiscale attention network for infrared and visible image fusion,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Mafusion: Multiscale attention network for infrared and visible image fusion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.922201Z

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.

Observation 8397e999-b75d-45cd-a769-7df5e4eeeff0 · outbound

This paper cites Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.900441Z

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.

Observation 5b89b712-921e-41fa-ad9c-ebca23f530c2 · outbound

This paper cites Swinfusion: Cross-domain long-range learning for general image fusion via swin transformer,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Swinfusion: Cross-domain long-range learning for general image fusion via swin transformer,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.878714Z

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.

Observation 5c12cf9f-e207-408d-9eb4-2d52db7a94f5 · outbound

This paper cites Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.612144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d795748-5dd1-4fda-8515-ab522aae9d98 · outbound

This paper cites Ydtr: Infrared and visible image fusion via y-shape dynamic transformer,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Ydtr: Infrared and visible image fusion via y-shape dynamic transformer,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.846304Z

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.

Observation 69fc9179-fc97-4fa3-8dee-a2501138a900 · outbound

This paper cites an unresolved cited work.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.623814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5a4f81-2c9a-4eea-a1d1-7f3cf5131549 · outbound

This paper cites Superfusion: A ver- satile image registration and fusion network with semantic awareness,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Superfusion: A ver- satile image registration and fusion network with semantic awareness,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.810862Z

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.

Observation c6b9380f-77e6-4006-be61-dae4615dfc51 · outbound

This paper cites De- terministic edge-preserving regularization in computed imaging,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods De- terministic edge-preserving regularization in computed imaging,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.783988Z

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.

Observation 2ba9ff59-7273-43bc-903b-ea79df26bf8a · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Llvip: A visible-infrared paired dataset for low-light vision,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.642624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909352cf-d504-4c79-9505-6f0f4d236d64 · outbound

This paper cites Piafusion: A progres- sive infrared and visible image fusion network based on illumination aware,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Piafusion: A progres- sive infrared and visible image fusion network based on illumination aware,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:29:34.748681Z

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.

Observation 47caf97b-ce04-4d41-ad5c-b5d922943a1c · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.653754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b035861b-a1ec-47c9-abb3-4f7840be961f · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods Restormer: Efficient transformer for high-resolution image restoration,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:29:34.660763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.