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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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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raw_fallback, observed 2026-08-06T17:04:13.858469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:06.325726Z digest=sha256:d12cfb4ea76d7631f0c9025d619ef1fec28e66aea6e4b7087dbd093fe54a3f4c

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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no resolver link, observed 2026-08-06T17:04:06.442329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:06.442329Z digest=sha256:c8cdf3e901c9168bde58327fc567f09ef4832ab24a0e7b2d2a36661e36bec17a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:06.665130Z digest=sha256:e327429ad35a61d241d07a85596dc90c639002f8956a78b0878a330c82bfc317

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:06.745101Z digest=sha256:b78686e788a05914a2532cc73ee820ad88650ec58bb59065f4c7d45be6fee7f3

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:06.821869Z digest=sha256:d6e306b33ed5f987ccd5f362c682b409aac0c65fd60920d957c84f1e19f0153d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:06.936345Z digest=sha256:da0ff4452633b63d2928c35bea449a3b0e5cafc54beaf084cd3b7d6dd68a348c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:07.024884Z digest=sha256:4fee683f906e410015361a8cd6788c55b966f83769f7f770131b4c91be5436a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:07.111533Z digest=sha256:b3a1a6e36d73ac053d811494dabf16bdd68636d4fbaa1e5513f92ec813b4cd6e

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:a2d8a1f51b6ae357604ab04c69d5e3637a2d3b417963b64bf5da1ce748f32b66

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:c3e4cd2987914fa58b5456aa51299bee4ab8d215b056019cb2b316ff7d736538

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:07.410499Z digest=sha256:c065e0ed8912e74c52e574764990cc0afcd66db7d5add780a1bdb80e72d653d9

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=sha256:62dbb6d60a6df98c55b5363e890de68018ce3f00f0c78e1c098af2421ab42c4e

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=sha256:25eaefbca6a0dfffbda4a0e45c19af91de24b939a2332dd9052474c071c3e6e4

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:07.682624Z digest=sha256:1b3408ef42d67792254a3fc17774c119badcc98652c4de09c447e92c8dbc064b

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=sha256:2edd87dc0fec4470af4f7f4957472cb472ee4b3eeca411cab02bbbaaf6563e08

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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raw_fallback, observed 2026-08-06T17:04:12.461615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:07.977759Z digest=sha256:20d4929875c96f392f6e90ece1d4c494cf782d2cd8c52f6a40d0496e4942a93b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.153160Z digest=sha256:1e7d3b17d8f3472cdcd3369de6955433c592acf1154b88aecfde89770e288558

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=sha256:9b288a2e2a26426352f05d97d57c684109e1f81490faa63e76c0969ea5c3c75f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.423085Z digest=sha256:0dad7caf620b90dfdd6a66115e30e40e31c4b5c17a3fc098522301c914fd8626

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.517314Z digest=sha256:7e70c67673135f36b53a89295e7a1d5dfb172e69013ccdd96172f3bce575a71d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.606363Z digest=sha256:a0968c0b7b4afb0f43b44ceb825da2fc43f6a4ba35d7e59081b922f8e71d302a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.682504Z digest=sha256:2896988773e0151e3b528d18b9b3f78ab4e0d4eccadba4df876868067f1b42b5

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.779389Z digest=sha256:d3103d5662649f55cfd142beb96a50fd6ba2f281890056fa6d20ced28a8fc0be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.837593Z digest=sha256:eb5361545e7b274ced360d2556e63d3776d76ab2680b311f90f7fd2e33f0dd33

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:08.908520Z digest=sha256:9336839ac6c59990e7d547370d1a6f6ed6649f62bf4a002500ceb19a4f4c8d50

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:08.975141Z digest=sha256:a7735072e4cf8bf7c03d3f29763322c21bde6eb3def822a31b63deb8faab1848

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:09.051264Z digest=sha256:e1b7eee1be1891877a52d856a4d71636848962da3d9c1e192c687563e4295148

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:09.136559Z digest=sha256:420f646e3fc22478df9ad31bc6cb26dda4449a54105d06b067bcb05590972a05

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:09.227645Z digest=sha256:b665b626ec6ba109070a40c338bdcc7a634bd17dd66253e6b0083508d3f89ee3

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:09.394136Z digest=sha256:b23ce435fbb0b882cbfc8ff58afbc5f797749ca3e79c735fc81250d1774b8fca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T17:04:09.559534Z digest=sha256:a9eab99441a4049eddcec2372a4eba6ce620d1ef7633825a4244822bbe635983

Pith citing papers

No inbound Pith citation observations are available.