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Paper Citation Record · LEDGER

FashionComposer: Compositional Fashion Image Generation

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2412.14168.

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

pith.paper-citation-record.v1
2412.14168 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:27:06.963057Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18eeefc7-8a85-473e-a33f-1af8a0f9de30 · outbound

This paper cites Qwen Technical Report.

FashionComposer: Compositional Fashion Image Generation Qwen Technical Report

Reference 1

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source=pdf_text observed=2026-08-11T12:27:06.839076Z digest=sha256:02f85f91e938503dd2452a40d46a89e671907012513dd6c820851c4bdb7f4d57

Observation e3e9fa3b-c643-49dd-a161-33c940149bf7 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

FashionComposer: Compositional Fashion Image Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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source=pdf_text observed=2026-08-11T12:27:06.843561Z digest=sha256:3fd67cbee2d255d7e8b1c6dc6781001b92fe0497274d17574d6769b057b0fdc5

Observation d3bca3e1-b0b7-4b0c-832d-dc1cec8112f4 · outbound

This paper cites Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment.

FashionComposer: Compositional Fashion Image Generation Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment

Reference 3

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source=pdf_text observed=2026-08-11T12:27:06.847581Z digest=sha256:3784fdc4e6ea424f6d36363aaa0122e976bfa220ff60ab08ee203f081ea0234e

Observation e39432f0-e62a-46db-be77-2c9ed8154050 · outbound

This paper cites Magic Clothing: Controllable Garment-Driven Image Synthesis.

FashionComposer: Compositional Fashion Image Generation Magic Clothing: Controllable Garment-Driven Image Synthesis

Reference 4

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source=pdf_text observed=2026-08-11T12:27:06.851320Z digest=sha256:837a2ad0341fa19e1d533fcf4b886edde624226e34e7822f590abf6dcc930848

Observation e65140f3-8e04-4a5c-9822-aa7ee00cee64 · outbound

This paper cites Zero-shot Image Editing with Reference Imitation.

FashionComposer: Compositional Fashion Image Generation Zero-shot Image Editing with Reference Imitation

Reference 5

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source=pdf_text observed=2026-08-11T12:27:06.855051Z digest=sha256:d7010eadcc94330c7357b6ba384717de1a0318036eb50440516e0370abde485c

Observation f0a264f0-3148-494b-804f-b0039633c085 · outbound

This paper cites Anydoor: Zero-shot object-level image customization.

FashionComposer: Compositional Fashion Image Generation Anydoor: Zero-shot object-level image customization

Reference 6

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raw_fallback, observed 2026-08-11T12:27:07.480553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.859471Z digest=sha256:4c61608154827e30cc06c58e4f08857cca44395d9597d7a00b3f73239611461f

Observation d4bf4eec-5c05-4d92-b2a6-c962ff927dac · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

FashionComposer: Compositional Fashion Image Generation Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.863531Z digest=sha256:8e1451e17c2b30ed4998d9b37b765598454a203247b96f1b227c5ca7cea6c61a

Observation 4aa9b2e2-3d78-404a-a95f-3c30c9275970 · outbound

This paper cites Improving Diffusion Models for Authentic Virtual Try-on in the Wild.

FashionComposer: Compositional Fashion Image Generation Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 8

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source=pdf_text observed=2026-08-11T12:27:06.867018Z digest=sha256:450d69997c56a6dc4d02c766de6e82e3249d9350db54b2deb86cb9ebaba119f0

Observation 0b3ccd0b-724a-45d8-8baf-b6f61bf8d46d · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

FashionComposer: Compositional Fashion Image Generation An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.870979Z digest=sha256:ae233262499ec3f89f0aac7e346d91a3cf201005571fc86fc28863a8c808560c

Observation 8121b7b3-5223-4258-b9a0-a4c23f9483c7 · outbound

This paper cites Taming the power of diffusion models for high-quality virtual try-on with appearance flow.

FashionComposer: Compositional Fashion Image Generation Taming the power of diffusion models for high-quality virtual try-on with appearance flow

Reference 10

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.874381Z digest=sha256:531f8257be5bd9bfb4bb01ae1cedc39db1219630e3488c61974d2db4ec7668e4

Observation faef3c5d-9fcc-4fed-97d9-ea063ee63e42 · outbound

This paper cites Densepose: Dense human pose estimation in the wild.

FashionComposer: Compositional Fashion Image Generation Densepose: Dense human pose estimation in the wild

Reference 11

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.877877Z digest=sha256:e6106f1d4c8b73dd3cf9e9674cb1af2b4531065bd97564e450e08573b4eaa619

Observation a64fc77f-f185-450d-b8b3-2c1bf90cf996 · outbound

This paper cites Viton: An image-based virtual try-on network.

FashionComposer: Compositional Fashion Image Generation Viton: An image-based virtual try-on network

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.881486Z digest=sha256:5a2b9b9b868c989865754734805ee0f1e83d908c498b314871d4f957a636d163

Observation 289b5a10-875e-4985-9294-1be895cb4fbf · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

FashionComposer: Compositional Fashion Image Generation Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 13

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:27:06.884922Z digest=sha256:d8e1f4e7e2a491f0e895344be414b0bd9978d605a75a575681bc58f90f0084e5

Observation bd9a49b1-06f6-49d4-b5e7-d117877785dd · outbound

This paper cites Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators.

FashionComposer: Compositional Fashion Image Generation Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Reference 14

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source=pdf_text observed=2026-08-11T12:27:06.888635Z digest=sha256:d7dfe791e59be1dd192ddcfa2ba159a6339f001a9838215aae8fcdde3a4f13b9

Observation 55c0e68a-d537-4dcb-a770-d0a1f4fb9f1a · outbound

This paper cites Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on.

FashionComposer: Compositional Fashion Image Generation Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on

Reference 15

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raw_fallback, observed 2026-08-11T12:27:07.421126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.891811Z digest=sha256:6f4bbbd0327d9659ed2de1d4f5ce6e63a18a576c138db1ea37e12f727cc91a24

Observation 980ad991-636d-492f-ac18-dd02d8f61bf0 · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

FashionComposer: Compositional Fashion Image Generation Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.894978Z digest=sha256:01e3ecec9930d3f424fd3a93718b5f629b17533fd23653bc19870538873ff914

Observation c300c57d-0b3c-46da-8beb-f9441bb0ca47 · outbound

This paper cites Cones: Concept Neurons in Diffusion Models for Customized Generation.

FashionComposer: Compositional Fashion Image Generation Cones: Concept Neurons in Diffusion Models for Customized Generation

Reference 17

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source=pdf_text observed=2026-08-11T12:27:06.897972Z digest=sha256:4a1891e12c6b5f70b4c92d7fa4c67c861b8cd0459f86faee1d5b03665975a5bd

Observation 1853b109-d935-4bcc-9625-e9034331beb3 · outbound

This paper cites Smpl: A skinned multi-person linear model.

FashionComposer: Compositional Fashion Image Generation Smpl: A skinned multi-person linear model

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.901206Z digest=sha256:baf52e3693d54b86ea7a07f9f9edfc529ba2c05fca186f4812bc0eb16482bfed

Observation d3c607e8-09d8-440f-9476-180aa98e9818 · outbound

This paper cites Decoupled Weight Decay Regularization.

FashionComposer: Compositional Fashion Image Generation Decoupled Weight Decay Regularization

Reference 19

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source=pdf_text observed=2026-08-11T12:27:06.904018Z digest=sha256:8ca3b49baa78bf42b57d8e43fe01ff203a0e9aa8b81b3c5b4db64fdaf13dbb58

Observation 324f154b-22a7-4051-973f-69354213d13f · outbound

This paper cites Dress Code: High-Resolution Multi-Category Virtual Try-On.

FashionComposer: Compositional Fashion Image Generation Dress Code: High-Resolution Multi-Category Virtual Try-On

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.907445Z digest=sha256:1dddad788bfef73eb3a4c259f3f357768e7f4802fe62477bca10ee4a7ab4df2c

Observation 7fcbf992-1e48-48db-83dc-cdad52fdfa29 · outbound

This paper cites Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on.

FashionComposer: Compositional Fashion Image Generation Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.910635Z digest=sha256:08f2123851bdcd20d074ac94facfce47dc7a1e022e3d69473e0c56a7096aba6a

Observation a9e719e5-9e25-4aee-bb38-bcd0aec17fce · outbound

This paper cites Learning transferable visual models from natural language supervision.

FashionComposer: Compositional Fashion Image Generation Learning transferable visual models from natural language supervision

Reference 22

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source=pdf_text observed=2026-08-11T12:27:06.913620Z digest=sha256:e0232d08cf218711ca72b0330a3d6da316a0cc63cb00f4c814f4f45c260645e1

Observation e7a02d26-3f70-4445-a5be-a8fae4d70568 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

FashionComposer: Compositional Fashion Image Generation High-resolution image synthesis with latent diffusion models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.916852Z digest=sha256:c199c0f01b17820e5870d28f62cb94f2a5c47d4960a5c260c5ca87ecc5c8f528

Observation b0a670d6-c4ae-4531-9b60-5e412b160069 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

FashionComposer: Compositional Fashion Image Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.920315Z digest=sha256:0ce31f891ab5895b0223fac8270abcc724688c6b161b3ef7281bff5694a6850e

Observation 66950df9-8d91-4585-8f29-41f924bf9a4d · outbound

This paper cites Collage diffusion.

FashionComposer: Compositional Fashion Image Generation Collage diffusion

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.923332Z digest=sha256:6253a676545fa6d114f2ec83ab976e797c38e0868d3b6e3055e2e1e90673d3e8

Observation 92a6358a-2f98-44ec-8133-4de519286789 · outbound

This paper cites IMAGDressing-v1: Customizable Virtual Dressing.

FashionComposer: Compositional Fashion Image Generation IMAGDressing-v1: Customizable Virtual Dressing

Reference 26

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source=pdf_text observed=2026-08-11T12:27:06.926145Z digest=sha256:f11f0a89cf383e68089428765568205ccfded4bf72c477cdd307016fbaefc42c

Observation 5bc25df2-4103-48ee-8b1b-47b0145f3d78 · outbound

This paper cites Generative Multimodal Models are In-Context Learners.

FashionComposer: Compositional Fashion Image Generation Generative Multimodal Models are In-Context Learners

Reference 27

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source=pdf_text observed=2026-08-11T12:27:06.929325Z digest=sha256:42d6e13646441d839cfee8f58ddbbd2f48c2115c31c50c26ead1c7281439dcd7

Observation 49bdf545-616b-44e2-a459-cc03dde87271 · outbound

This paper cites Toward characteristic-preserving image-based virtual try-on network.

FashionComposer: Compositional Fashion Image Generation Toward characteristic-preserving image-based virtual try-on network

Reference 28

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raw_fallback, observed 2026-08-11T12:27:07.319994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.932817Z digest=sha256:82e6b1121d03c571a3c62ec41da0b624b777d9f15a8fdf42901ec5b3fc079594

Observation b657ab24-dd5b-4eba-8a61-43a19ae6886b · outbound

This paper cites MV-VTON: Multi-View Virtual Try-On with Diffusion Models.

FashionComposer: Compositional Fashion Image Generation MV-VTON: Multi-View Virtual Try-On with Diffusion Models

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:06.935653Z digest=sha256:04d85686ae50f5efcfdf134f5d134559a3739b367f2ba4ac966b2c7394fc0dac

Observation adae1dc7-8974-4db9-8acc-e002f9e5eaf5 · outbound

This paper cites StableGarment: Garment-Centric Generation via Stable Diffusion.

FashionComposer: Compositional Fashion Image Generation StableGarment: Garment-Centric Generation via Stable Diffusion

Reference 30

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:27:06.938999Z digest=sha256:e48a96c53b331a6527a69b907872208dd0061ea71d3a804cd60d41a1044f3fad

Observation bf2ce600-33b9-4b6d-9bf5-3b20ee7c98f1 · outbound

This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

FashionComposer: Compositional Fashion Image Generation FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:06.942316Z digest=sha256:556ca055d1b2607d2cc97dac5646776dbdf0dc01db46e87fd5ce03a80ea61c93

Observation fe10a9cf-a2af-4b81-818c-c52cf1db247b · outbound

This paper cites Gp-vton: Towards general purpose virtual try-on via collaborative local-flow global-parsing learning.

FashionComposer: Compositional Fashion Image Generation Gp-vton: Towards general purpose virtual try-on via collaborative local-flow global-parsing learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:27:07.308868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.945758Z digest=sha256:60317fd2e71ad492bbaef2f64a1635f533998af32a29192ae242c7f28d8aff71

Observation f6e0135b-3985-4b5b-b75a-e824bed13e4c · outbound

This paper cites OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.

FashionComposer: Compositional Fashion Image Generation OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:06.949158Z digest=sha256:1d7be51903f2411596fdf1ae7f794aca53f6936c55754e2a08036a77762ccfd2

Observation 7b7aed15-51fe-4823-bd30-a2a10c8965bb · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

FashionComposer: Compositional Fashion Image Generation Paint by example: Exemplar-based image editing with diffusion models

Reference 34

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raw_fallback, observed 2026-08-11T12:27:07.295341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:27:06.952806Z digest=sha256:4ad51a82d2bc37df43fe9259a21c4c129d7f3360b84063151c9aae8da9a46812

Observation bf7cb2e4-3907-4acb-a56a-e13817410e5c · outbound

This paper cites Deep Learning Technique for Human Parsing: A Survey and Outlook.

FashionComposer: Compositional Fashion Image Generation Deep Learning Technique for Human Parsing: A Survey and Outlook

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:06.956178Z digest=sha256:57ad21a1647323d82661fdc1d2ace284f54cb644d2a7478ff550fe75c87a4948

Observation 3171f42b-b04d-4ea0-a055-4eb4afa94920 · outbound

This paper cites Flashface: Human image personalization with high-fidelity identity preservation.

FashionComposer: Compositional Fashion Image Generation Flashface: Human image personalization with high-fidelity identity preservation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bcff6ccc-beac-429a-bbfd-f58f7b05e356 · outbound

This paper cites Tryondiffusion: A tale of two unets.

FashionComposer: Compositional Fashion Image Generation Tryondiffusion: A tale of two unets

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:27:07.281125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.