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Paper Citation Record · LEDGER

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.13388.

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

pith.paper-citation-record.v1
2507.13388 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:04:09.559534Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4a2e972-ab2c-45f6-b39e-46b2b9b505ba · outbound

This paper cites Attention Is All You Need,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Attention Is All You Need,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d38964aa-e06f-42a0-a2a4-0a612aa45df7 · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Text-to-image Diffusion Models in Generative AI: A Survey

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:06.442329Z digest=sha256:b7fa4ec0f65feef2abd0d466475b851e036c6ccbb811a0e8670686547565402f

Observation b4520780-6598-49f8-8081-537f7228aad2 · outbound

This paper cites Generative Adversarial Nets,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Generative Adversarial Nets,

Reference 3

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raw_fallback, observed 2026-08-06T17:04:13.772332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1bb4c190-a8b4-4f32-9f76-914227df2d59 · outbound

This paper cites Denoising Diffusion Prob- abilistic Models,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Denoising Diffusion Prob- abilistic Models,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T17:04:13.612522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:06.665130Z digest=sha256:6253e0ed40ddb6558f755fc2541dc59892d577494a147fa4cf68e27ebb35873b

Observation 1e65aff2-086a-47d2-97ab-4e4c523199d9 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 5

Resolution
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raw_fallback, observed 2026-08-06T17:04:13.441321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:06.745101Z digest=sha256:910d12a53bf4171d25a04656378bdb395df1d901fbc893134bd91bed48a5db69

Observation 65f9706b-ec82-4443-963c-0b8480aa1004 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 6

Resolution
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no resolver link, observed 2026-08-06T17:04:06.821869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:06.821869Z digest=sha256:ebad014732bcf03c7815660a9aecb0e2dd89c46f61fb8bcede8d28d0a04b660c

Observation 43c1e973-e816-4270-a6dc-308d1562edd9 · outbound

This paper cites Feature Pyramid Networks for Object Detection,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Feature Pyramid Networks for Object Detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:06.936345Z digest=sha256:c950996883d31ffa6018e065811324ef18a59e707d67733908648fc1f5cf4a26

Observation 61dbabcf-ed43-4ecb-accd-f5bb04478f36 · outbound

This paper cites CBAM: Convolutional Block Attention Module,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis CBAM: Convolutional Block Attention Module,

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T17:04:13.152188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:07.024884Z digest=sha256:7cd7758e850887a3258923771a6019f259d31b1e0a6bf4c9ffe624b957251fd5

Observation a5cc2447-a150-4724-a7d0-44b5e63b474e · outbound

This paper cites Deep Unsupervised Learning Using Nonequi- librium Th ermodynamics,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Deep Unsupervised Learning Using Nonequi- librium Th ermodynamics,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:07.111533Z digest=sha256:b27a98820b6599e82fb38c99f4ce9c87690f980493d8eabe7263af270da67e1e

Observation 041bd5dc-079b-4aee-9d54-a14033e976d6 · outbound

This paper cites Auto-Encoding Variational Bayes.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Auto-Encoding Variational Bayes

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:07.213092Z digest=sha256:0378ddc308772dca1fdc898d4abd3c5f97d79b8bed4cdd9d07019aae1517a075

Observation 41a7e334-6d6a-4d05-b1b7-07e32be86713 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:07.315947Z digest=sha256:98a8b2fba3b6093b3946a51629a434aea5721534eaacccbd2047f1c2a46ab240

Observation 06178bd6-8eb8-4562-ae2d-525fb3744960 · outbound

This paper cites U-Net: Convo- lutional Networks for Biomedical Image Segmentation,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis U-Net: Convo- lutional Networks for Biomedical Image Segmentation,

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T17:04:12.771926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:07.410499Z digest=sha256:33da14c2ba862c6841ef60954fb8a383ef3c4fe57776054b52fa5fb0e0cc8813

Observation 2367fa0d-9396-4262-9743-d39151a87f02 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Classifier-Free Diffusion Guidance

Reference 13

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no resolver link, observed 2026-08-06T17:04:07.522524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:07.522524Z digest=sha256:e565e96d83fec3d4e3f93b6571b0624dd909330688928886dd20453e2873b92d

Observation 6b3d9cde-3978-43b4-9c06-c59576a178ce · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:07.604760Z digest=sha256:a8466904d62acace9ccd751e59fd7ccc516350a956c3f42471b926929edaef7d

Observation 54bff2c2-ffb6-47b3-a288-e96f37567dd8 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Mod- els with Deep Language Understanding,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Photorealistic Text-to-Image Diffusion Mod- els with Deep Language Understanding,

Reference 15

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raw_fallback, observed 2026-08-06T17:04:12.612847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:07.682624Z digest=sha256:4fc8ef3ca0752ddd4c3d5e5b207dc98276d8f5391a8b0edc0f8a111656c04219

Observation 75721eea-0852-4cb0-8711-40172ae0dad0 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:07.846641Z digest=sha256:b4a7e495a9b9318062dd3fce2d2d3444c235f603262db014e41c69bed20669d7

Observation 507a572a-1546-4dab-a815-816863031dc3 · outbound

This paper cites Taming Trans- formers for High -Resolution Image Synthesis,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Taming Trans- formers for High -Resolution Image Synthesis,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5080f5a5-1cd9-465a-abaa-b200e8b44477 · outbound

This paper cites ImageNet: A Large -Scale Hierarchical Image Data- base,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis ImageNet: A Large -Scale Hierarchical Image Data- base,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.153160Z digest=sha256:41784f665320491bc1cf6823398b5102eba49fb8375bde072716218fe1c8dd47

Observation 06eaa741-f665-4bcc-b0ab-4c38158c2b7d · outbound

This paper cites Denoising Diffusion Implicit Models.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Denoising Diffusion Implicit Models

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:08.335841Z digest=sha256:f9ba9582291e07bcb45e36393660680fec2037efdeedb245c4164ea036b313b2

Observation cc706771-b024-4af3-8d6e-4cae3e101032 · outbound

This paper cites GANs Trained by a Two Time -Scale Up- date Rule Converge to a Local Nash Equilibrium,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis GANs Trained by a Two Time -Scale Up- date Rule Converge to a Local Nash Equilibrium,

Reference 20

Resolution
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raw_fallback, observed 2026-08-06T17:04:12.103278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a11c8c13-2193-4854-be7d-52b705711de7 · outbound

This paper cites PyTorch: An Imperative Style, High - Performance Deep Learning Library,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis PyTorch: An Imperative Style, High - Performance Deep Learning Library,

Reference 21

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raw_fallback, observed 2026-08-06T17:04:11.830325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.517314Z digest=sha256:bdaceb5f2c45bdd15ffddb1d4bafa2fdae9e49412b1786d89095c71129301993

Observation 1590b00d-d56c-49eb-8bdc-483c2260773b · outbound

This paper cites Improved Techniques for Training GANs,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Improved Techniques for Training GANs,

Reference 22

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raw_fallback, observed 2026-08-06T17:04:11.530211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.606363Z digest=sha256:fcb80491ae9645a88de71942b3b2dbf4494d0a1f2a380f58272f78781388c038

Observation 9fb8cfaa-73ab-4f26-a19e-394ae50f279b · outbound

This paper cites Diffusion Model for Image Generation—A Survey,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Diffusion Model for Image Generation—A Survey,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.682504Z digest=sha256:448ceab1d5bcae16ea1144c0027b6f5e7a2d7c659ad15ba9fc9e6c98611f83d6

Observation 4f50d4bf-1d39-4b9d-927b-bdb9216c5e40 · outbound

This paper cites Cascaded Diffusion Models for High Fidel- ity Image Generation,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Cascaded Diffusion Models for High Fidel- ity Image Generation,

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T17:04:11.033946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0b684e14-d145-4c4a-8a6d-08446d8db81d · outbound

This paper cites A Hybrid Attention Multi - Scale Fusion Network for Real -Time Semantic Segmenta- tion,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis A Hybrid Attention Multi - Scale Fusion Network for Real -Time Semantic Segmenta- tion,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.837593Z digest=sha256:476a18d6c993f5cf88a3379d4499a02331ca036438511f794c295099d4fe2d96

Observation edfd502f-7b9a-4424-9e7b-5f6d453b0c79 · outbound

This paper cites Attention-Guided Multi-Scale Feature Fusion Network for Low-Light Image Enhancement,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Attention-Guided Multi-Scale Feature Fusion Network for Low-Light Image Enhancement,

Reference 26

Resolution
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raw_fallback, observed 2026-08-06T17:04:10.621359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:08.908520Z digest=sha256:a4f24907cefd60ede866fd7da6579c249e11f5048d570b2c91304d9063c0755d

Observation b7eab983-5210-4d3e-a72e-f0cb3b60ce8a · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Diffusion Model-Based Image Editing: A Survey

Reference 27

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unresolved
no resolver link, observed 2026-08-06T17:04:08.975141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:08.975141Z digest=sha256:42a89a5dededf69dc4a6aa7175d10481bad5631c2feaba15218062973eabc006

Observation fc6e833a-9864-4497-82cb-7f67e262f482 · outbound

This paper cites Diffusion Models: A Comprehensive Survey of Methods and Applications,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Diffusion Models: A Comprehensive Survey of Methods and Applications,

Reference 28

Resolution
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raw_fallback, observed 2026-08-06T17:04:10.480521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:09.051264Z digest=sha256:ef5802866abf1df4cd3b5b191e27fd6fdbe4d793cb4e6c31bfdcd27254355082

Observation a6643712-134c-4a49-b8ec-c55545006963 · outbound

This paper cites Diffusion Models for Medi- cal Image Computing: A Survey,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Diffusion Models for Medi- cal Image Computing: A Survey,

Reference 29

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raw_fallback, observed 2026-08-06T17:04:10.307103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:09.136559Z digest=sha256:623579dcfdabddaba1ca966e78e07935bc41323f90f1d2f3b0f289dd3d56c749

Observation f14961d3-3463-4a11-b558-47856c3738f3 · outbound

This paper cites Texture Synthesis Using Convolutional Neural Networks,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Texture Synthesis Using Convolutional Neural Networks,

Reference 30

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raw_fallback, observed 2026-08-06T17:04:10.137623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:09.227645Z digest=sha256:9d48d99325d52e96d3869cca735b148e8ff04da492a80baabff3d995b8edb713

Observation f790a27b-71a3-4a62-9401-6c40ff07468a · outbound

This paper cites Perceptual Losses for Real -Time Style Transfer and Super -Resolution,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Perceptual Losses for Real -Time Style Transfer and Super -Resolution,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T17:04:09.959529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:04:09.394136Z digest=sha256:414ee021ee67c3d6e6894831a2ae5b1a2fae5f83399d2f071f8fa74dcc433583

Observation 035428d1-7ca7-46ff-94dd-2edb834b38d3 · outbound

This paper cites Attentional Feature Fusion,.

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis Attentional Feature Fusion,

Reference 32

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raw_fallback, observed 2026-08-06T17:04:09.771927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.