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Paper Citation Record · LEDGER

RORem: Training a Robust Object Remover with Human-in-the-Loop

As of 11 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2501.00740.

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

pith.paper-citation-record.v1
2501.00740 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:48:00.772229Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:31.497350Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:46:32.058015Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact1
  • verified fuzzy44
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ade9e33-732a-4e53-8c8c-582171fb0213 · outbound

This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.

RORem: Training a Robust Object Remover with Human-in-the-Loop Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

Reference 1

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no resolver link, observed 2026-08-10T22:48:00.501373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.501373Z digest=sha256:ef408ee0da6a1e83aac3c2c25301fa531008975d4aca105c3e4b0054b5e657dc

Observation afaa7dc8-054d-4f59-a6eb-eb5cf02fc77c · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

RORem: Training a Robust Object Remover with Human-in-the-Loop Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.642588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.506215Z digest=sha256:9f25f0498d77e66ccf80f7ccbaa5a5cdde551a6e1c279a125db1186419cd7f14

Observation 47e17870-6990-4113-8914-d7d24c49707c · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

RORem: Training a Robust Object Remover with Human-in-the-Loop Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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no resolver link, observed 2026-08-10T22:48:00.510376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.510376Z digest=sha256:a90eb8d9b22e8b38aa3ed7b81b94f1de2aec3859239d870240003800e597173a

Observation 7506a301-3338-45b3-a85f-14072f43b692 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

RORem: Training a Robust Object Remover with Human-in-the-Loop In- structpix2pix: Learning to follow image editing instructions

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.628410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.514762Z digest=sha256:8418ffff50e1f507dfc953bdca14a0a16e13d87dfb5c1e64daf96b3b4b029a75

Observation e7719c0c-3c51-47bc-8044-923cbd882555 · outbound

This paper cites Zits++: Im- age inpainting by improving the incremental transformer on structural priors.

RORem: Training a Robust Object Remover with Human-in-the-Loop Zits++: Im- age inpainting by improving the incremental transformer on structural priors

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.614837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.518540Z digest=sha256:ae128365610c137ccf52c5ab78ccd15e89a5acb9e8c12745ea8c1b0126279548

Observation b7bfcec2-7c34-4c79-9e65-25b818d7e1bc · outbound

This paper cites Re- gion filling and object removal by exemplar-based image in- painting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Re- gion filling and object removal by exemplar-based image in- painting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.602382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.522447Z digest=sha256:bd7068c0af9a518840d96f32f564341f95174dd2797237534adbecf8ee9fbae6

Observation 24ee6c6e-c953-43f8-a372-4441ad9bad00 · outbound

This paper cites Incremental transformer structure enhanced image inpainting with mask- ing positional encoding.

RORem: Training a Robust Object Remover with Human-in-the-Loop Incremental transformer structure enhanced image inpainting with mask- ing positional encoding

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.591603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.527351Z digest=sha256:64b54fd6fc6fee9ba820aa6cd68e2479ecd097af6823e96ea852e2b8190c022d

Observation a4b328c9-321b-4cbd-83e3-79eddddb7032 · outbound

This paper cites CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models

Reference 8

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no resolver link, observed 2026-08-10T22:48:00.531794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.531794Z digest=sha256:f502a1e374007998eba01a8ae10c7f1c1629692dfc97340ad66196ebfb37f51c

Observation 007f9493-5098-48a4-a2c0-a7685fabbe8e · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

RORem: Training a Robust Object Remover with Human-in-the-Loop Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.580796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.536727Z digest=sha256:d1660bbc32a116627ae6fe8cf77a7a08551da7c4db5ab423f0bd0f7dc94b0c09

Observation 2aa90b5c-6254-427f-8cac-0e9779ab6bb8 · outbound

This paper cites Instructdiffusion: A generalist modeling inter- face for vision tasks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Instructdiffusion: A generalist modeling inter- face for vision tasks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.569020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.540559Z digest=sha256:c971f0d962da4453559fbc14dbab904f95108e5829ceb3fd18dcdef9eef2a7bc

Observation aa0695b7-46d8-4ca0-899d-7e3474b50307 · outbound

This paper cites Generative adversarial networks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Generative adversarial networks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.545008Z digest=sha256:99ba058d3f21f3f06e83dc3339588a03b75ae1500a54cca940ce0454edaa3bee

Observation 95888f84-da83-41b1-84fd-ef46a543ccf5 · outbound

This paper cites Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal.

RORem: Training a Robust Object Remover with Human-in-the-Loop Shadowd- iffusion: When degradation prior meets diffusion model for shadow removal

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.551685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.548925Z digest=sha256:ea67c5933acec4138ddf5947367f315ddb8529afeb7f52decc66ab734597ddfc

Observation 02a51e0c-d257-4bbd-ac9c-782f826c87c4 · outbound

This paper cites Proxedit: Improving tuning-free real image editing with proximal guidance.

RORem: Training a Robust Object Remover with Human-in-the-Loop Proxedit: Improving tuning-free real image editing with proximal guidance

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.539952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.552478Z digest=sha256:38559eb51f2cbaaf9dbf3d9f152ea3e47333fe5aa9821727978e378161cf6316

Observation a56eab56-25ab-4d98-b3bf-f54b07249336 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

RORem: Training a Robust Object Remover with Human-in-the-Loop Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 14

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no resolver link, observed 2026-08-10T22:48:00.555832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb2bb2a9-81dc-4107-8bca-62b92c6138ce · outbound

This paper cites Denoising dif- fusion probabilistic models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Denoising dif- fusion probabilistic models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.559554Z digest=sha256:81ab234174cce07d2ce4e5160f63f7a7aa1d33317b4981ba7fba18b43e31e11d

Observation 0206d90b-3195-40ff-9046-a5dc2b375b53 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.563256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d184e47-7f44-4cd8-8b6d-a7baf396e0c2 · outbound

This paper cites DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing.

RORem: Training a Robust Object Remover with Human-in-the-Loop DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

Reference 17

Resolution
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no resolver link, observed 2026-08-10T22:48:00.567667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.567667Z digest=sha256:79d507ad55a9622cb080d712eada862e6dc37c75d2a5e98ed7d6010d3dfaeef0

Observation 629c5b17-79c0-4725-9a01-1a56b55d859d · outbound

This paper cites Segment any- thing.

RORem: Training a Robust Object Remover with Human-in-the-Loop Segment any- thing

Reference 18

Resolution
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no resolver link, observed 2026-08-10T22:48:00.571385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.571385Z digest=sha256:b92809468d53f0ba984ee11e6d38802310610b04af7b882fb4db1e7e11d2fa98

Observation 6bf65741-a716-48aa-9f4f-f027cff67365 · outbound

This paper cites Continuously masked transformer for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Continuously masked transformer for image inpainting

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.513801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.574805Z digest=sha256:d2ad5c67e3be445df167c2fa91cfadd16320c89cfe767a295a2978aeff74202d

Observation 6316a522-75b2-456b-a87e-a670408b7f95 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

RORem: Training a Robust Object Remover with Human-in-the-Loop The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.500371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.578341Z digest=sha256:495679f486d7834dbc161e80bb0de54ec1edd2fc9aef07a746407e62db428321

Observation 6f85a6b2-410d-48ff-9d1c-8a9b7be6e147 · outbound

This paper cites Prior guided gan based semantic inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Prior guided gan based semantic inpainting

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.487807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.582073Z digest=sha256:d5ea92afd65fb674b9027dd55338edd649d29e6a2346c281f2b6ffdf76263db3

Observation 0e7d2f30-f7c9-42db-8057-c4409645b975 · outbound

This paper cites Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rgbd2: Generative scene synthesis via incremental view inpainting using rgbd diffusion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.473420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.585537Z digest=sha256:0f6d5b1ae69f38fc424b8c123b3b6f3062d32926b0a8f9040f614950c38ca5d8

Observation d963eed7-7a9d-4a23-844a-d09a8c678397 · outbound

This paper cites Recurrent feature reasoning for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Recurrent feature reasoning for image inpainting

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.457637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.588788Z digest=sha256:8a0a44217623fd98efca0d0bafd8d6f91c467797152df5a83e1ab2712ccaac06

Observation 3a501b79-8e81-4663-b6af-aab1a9f4b140 · outbound

This paper cites FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model.

RORem: Training a Robust Object Remover with Human-in-the-Loop FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:48:00.907362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.592349Z digest=sha256:8e4c5b4c531a64f79342c6a1038cb7c1848d305e9e578514e89e06b3d827ecce

Observation 541dc850-8760-4efc-bc06-7103f157e04d · outbound

This paper cites Source prompt disentangled inversion for boosting image editability with diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Source prompt disentangled inversion for boosting image editability with diffusion models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.443918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.595853Z digest=sha256:6de539968a65608ecc9ee9a20aab423f95606c5387a68cabc22b01371167f87d

Observation ef66122c-0d6e-438b-bab8-4b9a4829e199 · outbound

This paper cites Mat: Mask-aware transformer for large hole im- age inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Mat: Mask-aware transformer for large hole im- age inpainting

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.429034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.598984Z digest=sha256:6f4868f7ebeb6aa56e162f540ebb52e1322ace8948af717408e2ebb5639a14f9

Observation 6656de4a-cc36-4850-bc91-c696c9292224 · outbound

This paper cites Cv2 dilate function, 2024.

RORem: Training a Robust Object Remover with Human-in-the-Loop Cv2 dilate function, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.414637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.602202Z digest=sha256:78fd8af30005b09b72035b2174963b72c0c6217073929cf715da91f3569a38b0

Observation c31e14e8-84d7-48de-9a47-c679bed08ab9 · outbound

This paper cites Microsoft coco: Common objects in context.

RORem: Training a Robust Object Remover with Human-in-the-Loop Microsoft coco: Common objects in context

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.605939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.605939Z digest=sha256:e7709c1257584cdea8d643cf9c2d46a3625efc117b0d8c08657d54235afc8103

Observation 6b8bb925-1cef-490a-8056-d16c268a0830 · outbound

This paper cites Image inpainting for ir- regular holes using partial convolutions.

RORem: Training a Robust Object Remover with Human-in-the-Loop Image inpainting for ir- regular holes using partial convolutions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.392065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.609356Z digest=sha256:da46a181c93b8b0f4b7e9dc30af1076d7a7f337805d8a4237d48f354e26f9c9a

Observation 538d9bcc-b888-4788-92c8-b00f966f32e2 · outbound

This paper cites Coherent semantic attention for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Coherent semantic attention for image inpainting

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.377673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.612742Z digest=sha256:0b5de71d2ca1e64067b7fc5fd19246927c18275b5d8f52ce572b7684cae3148f

Observation 19b21028-14e5-4100-80f8-6a15036c9605 · outbound

This paper cites Rethinking image inpainting via a mutual encoder- decoder with feature equalizations.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rethinking image inpainting via a mutual encoder- decoder with feature equalizations

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.365542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.616384Z digest=sha256:2ec2766c9d6b3ddada4a8dfc1e6b1f9bad69b4e6f71276b8ad265278bdf66360

Observation 04e8081e-4f29-4e33-9ada-fee60395dfcf · outbound

This paper cites Pd-gan: Probabilistic diverse gan for image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Pd-gan: Probabilistic diverse gan for image inpainting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.351090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.620352Z digest=sha256:8714fffe0aeccfea228c72acbfc5afe6673b5abba5c9861fec30c2c451d0cee7

Observation 2c25871c-1e9f-497c-9db6-0bc53620bd9a · outbound

This paper cites Visual instruction tuning.

RORem: Training a Robust Object Remover with Human-in-the-Loop Visual instruction tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.623987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.623987Z digest=sha256:1af9852c2c79d91135740b1ff704943b28f7208f0b8bc826d175a86a9667b804

Observation 4fbe04a9-d27c-4e7b-8d9a-3320b8d6060a · outbound

This paper cites Decoupled Weight Decay Regularization.

RORem: Training a Robust Object Remover with Human-in-the-Loop Decoupled Weight Decay Regularization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.627577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.627577Z digest=sha256:49c7d256ba2bd6b5ecae72fba3cd4bea551f2abe718ced8f10d164d49a29e108

Observation 3f02929e-12a9-4b0d-a4d8-efd9b7cc827f · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Repaint: Inpainting using denoising diffusion probabilistic models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.323923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.632177Z digest=sha256:a923cd7086126b5fe4bfeee0893dd7a15235beb880b400ba77cdbebb12fe7673

Observation 1954a145-0434-44f4-852a-be275ab4b57b · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

RORem: Training a Robust Object Remover with Human-in-the-Loop Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.636038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.636038Z digest=sha256:2b77bf9398e3df6158c92527da8bf5ab1688eb0efa1464f6e106ffa842f46403

Observation 7cd9cf7b-9cd5-4102-94ec-fa92dc710add · outbound

This paper cites Regionwise gen- erative adversarial image inpainting for large missing areas.

RORem: Training a Robust Object Remover with Human-in-the-Loop Regionwise gen- erative adversarial image inpainting for large missing areas

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.310902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.639835Z digest=sha256:c43713e5f52652f2545cfe1ef8cfbbf084b492d57763ffabc94583b48d93a2d0

Observation f1e28060-1800-484f-a070-cfab7945defc · outbound

This paper cites Defacto: Image and face manipulation dataset.

RORem: Training a Robust Object Remover with Human-in-the-Loop Defacto: Image and face manipulation dataset

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.298048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.643820Z digest=sha256:d150a44d0bd6fbe0319e40cc08a0828446d6b24f97170a6ae2f8380a4b04b1f7

Observation dfb07285-deb0-4ef4-8553-b78f2376bef7 · outbound

This paper cites Null-text Inversion for Editing Real Images using Guided Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Null-text Inversion for Editing Real Images using Guided Diffusion Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.647627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.647627Z digest=sha256:a05a913e8825a6b5a604aca8f021789654c681f0ecba1b53b974118c18f536d3

Observation 0de8b713-4f29-4f74-9586-a00738a48967 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

RORem: Training a Robust Object Remover with Human-in-the-Loop DINOv2: Learning Robust Visual Features without Supervision

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.652162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.652162Z digest=sha256:266d09d6c7c8eb0778b0dcba0de091dc7588781889cfd475c43ecee2adf4936e

Observation 732e638f-b3aa-4817-815b-9d11db1fe68d · outbound

This paper cites Context encoders: Feature learning by inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Context encoders: Feature learning by inpainting

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.286556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.656325Z digest=sha256:8a36fbe96f3e2fa9201c4cac5cb569f82386c41321b594a2b971bc9d1d8bffd9

Observation 01ba17ef-1307-40a1-af40-4d4a9d26ddc6 · outbound

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

RORem: Training a Robust Object Remover with Human-in-the-Loop SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.660236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.660236Z digest=sha256:6780cd723890128fe918ae4da160136f1a7af52205ccab0ed38431d66798e4a8

Observation 95afd419-f875-4a06-8e9c-7be01f0cc399 · outbound

This paper cites Deep learning-based image and video inpainting: A survey.

RORem: Training a Robust Object Remover with Human-in-the-Loop Deep learning-based image and video inpainting: A survey

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.273457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.664164Z digest=sha256:6090c940191c5a81696342c7a32cfb52ac1ecfede50fb67619d219e10c8a9cd6

Observation 7ab895d4-bf47-4419-82a9-8a8af50862cf · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning transferable visual models from natural language supervi- sion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.667662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.667662Z digest=sha256:d514027ea8da1b131039f706c6001357e14c89c6056cf1e1225df8f1a0e1a4e7

Observation 9911b9c4-22a3-4fa9-94a1-20dbb3de07cc · outbound

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

RORem: Training a Robust Object Remover with Human-in-the-Loop High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.671034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.671034Z digest=sha256:6e97379359ce7acd9782ce6c4a0b2488e14304f767513ac69622dc71b9ac33ae

Observation fc018705-6e85-4a46-b94a-2f5bcb39945f · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RORem: Training a Robust Object Remover with Human-in-the-Loop U- net: Convolutional networks for biomedical image segmen- tation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.674471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.674471Z digest=sha256:dcd7aa825b15a0cb8293e1cac258c63835912e390a2641f9d6f01dcce3af6b4f

Observation b3edb24d-34aa-4374-aba8-715978ccb34c · outbound

This paper cites Rord: A real-world object removal dataset.

RORem: Training a Robust Object Remover with Human-in-the-Loop Rord: A real-world object removal dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.237628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.678129Z digest=sha256:b2fd6db559bab7bf6c82c83dada26771ae26091e490389feedd62b28069276fc

Observation 9023ee45-7adc-4288-b6a6-d0e19d739576 · outbound

This paper cites Palette: Image-to-image diffusion models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Palette: Image-to-image diffusion models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.682417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.682417Z digest=sha256:1bf5f6a8191959f024c90fa503d49485d5c329485e9dce9149bd5c68c0982bf0

Observation fc8ed136-44ff-4f92-a7f4-67e78a382dd0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.216095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.685841Z digest=sha256:cf23347e7656553dace7b6968bfe8e3666f56cdfa915e76b37145a808b5e5a86

Observation 6185f06a-b596-42fb-ad55-5ecb9890f0ec · outbound

This paper cites Transinpaint: Transformer-based image inpainting with context adaptation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Transinpaint: Transformer-based image inpainting with context adaptation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.204583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.689338Z digest=sha256:050289acdf0b46c3949b3455ad1c8428e0b76a4bd2e893af9a274fec77a92306

Observation 901db4d7-4012-491a-bc71-52b88c1df08d · outbound

This paper cites Emu edit: Precise image editing via recognition and gen- eration tasks.

RORem: Training a Robust Object Remover with Human-in-the-Loop Emu edit: Precise image editing via recognition and gen- eration tasks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.189969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.693036Z digest=sha256:b0d4594f7407cd47d6cb5235c52f7afc9451d17d27fb80afca71b97dc7e8c035

Observation 4b15b5ad-a77d-4796-bf28-1d3159a77b2f · outbound

This paper cites Denoising Diffusion Implicit Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Denoising Diffusion Implicit Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.696446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.696446Z digest=sha256:19b43342fabebf6dab91c7b6c892b56e8841c65f2280ace62735169340d57bef

Observation 6db4c776-91c7-45a0-80eb-ab9dd8660ebe · outbound

This paper cites Contextual-based image inpainting: Infer, match, and translate.

RORem: Training a Robust Object Remover with Human-in-the-Loop Contextual-based image inpainting: Infer, match, and translate

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.177111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.699914Z digest=sha256:934d15c5cec1d0173433ef64b2dc5d09df8379207551a9571898b1fb1657355d

Observation 2ca0f5c3-e7a7-408b-8d28-96145864de70 · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

RORem: Training a Robust Object Remover with Human-in-the-Loop Resolution-robust large mask inpainting with fourier convolutions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.165321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.703220Z digest=sha256:719ea16096919f1f95ebb84c8377ebd04a8123fe837d6a42438da158f20bc024

Observation e4c5a454-33fa-4209-a6b0-3f24ee98c94f · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

RORem: Training a Robust Object Remover with Human-in-the-Loop Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.152403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.706573Z digest=sha256:fdbebfb155cbd09c97dd92e9cd8d8ecf61ec1491572afae4cd49ac95e23eba60

Observation ee5c5849-af58-4dcf-9465-91245d662830 · outbound

This paper cites Mulan: A multi layer anno- tated dataset for controllable text-to-image generation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Mulan: A multi layer anno- tated dataset for controllable text-to-image generation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.135908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.710146Z digest=sha256:53295f92c9ffca17aa8d596587b4dd59d9f63dc12037cce8b6ad07a55647857b

Observation 26bc7893-22d4-493f-962a-bec6be27496a · outbound

This paper cites Perceptual adversarial networks for image-to-image 11 transformation.

RORem: Training a Robust Object Remover with Human-in-the-Loop Perceptual adversarial networks for image-to-image 11 transformation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.122549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.713405Z digest=sha256:04e34192067582355a1e19981959c09fb8cf06f379ae8221ca23fa31530232a9

Observation 6e0d212e-f94b-4409-932a-8e4460e8b06b · outbound

This paper cites Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.717071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.717071Z digest=sha256:ae68513eda34c06bd122fb5f74a6ec723dd9664f1e00231b4b2e6cf71d890b6b

Observation 89024d55-c4fc-4b04-9a85-0354fa1949e8 · outbound

This paper cites ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.

RORem: Training a Robust Object Remover with Human-in-the-Loop ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.721012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.721012Z digest=sha256:6437a5d2fd559ec101afa872b8c39a4ee948aed1cf9ccafb3cf558ed295f9c77

Observation 435d9248-421c-4c29-b2cc-c151768f4778 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

RORem: Training a Robust Object Remover with Human-in-the-Loop Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.103295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.726231Z digest=sha256:75d4cbdc7c473faede53840431bfe985236243fa2d21441b7a7549095b0a7dd6

Observation 7f6f9200-8d0f-4521-8467-135f1549ab6a · outbound

This paper cites Shift-net: Image inpainting via deep feature rearrangement.

RORem: Training a Robust Object Remover with Human-in-the-Loop Shift-net: Image inpainting via deep feature rearrangement

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.091707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.730494Z digest=sha256:23cdd040b69601bb7737b96b7cbe7a9e128dff1289105a85ed1b6bbfef6bb5a6

Observation 19433557-b8a3-4df5-92ee-c2e0c721eab4 · outbound

This paper cites High-resolution image inpainting using multi- scale neural patch synthesis.

RORem: Training a Robust Object Remover with Human-in-the-Loop High-resolution image inpainting using multi- scale neural patch synthesis

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.079335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.734228Z digest=sha256:702e3b962f1f0a5cde00b151acbd549bd0a2d1aeb88f2c729b1711dbe37f3b7c

Observation 3cd7d9e3-110e-450a-9c81-ed63af638ccd · outbound

This paper cites Se- mantic image inpainting with deep generative models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Se- mantic image inpainting with deep generative models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.067057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.738959Z digest=sha256:7161431338071732ff87390897198b20a78cc8f032426fca4edb9f89848bbffa

Observation 7f40c81d-ae96-4ef7-a109-55ce51d12746 · outbound

This paper cites Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.

RORem: Training a Robust Object Remover with Human-in-the-Loop Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.743155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.743155Z digest=sha256:d3d9a7e1576eb6e7b9c5cd9921a685ee70a5d3893a484772c40a3b60699e9581

Observation 92f2c875-3920-43bd-9170-b3c0139bcbd1 · outbound

This paper cites Generative image inpainting with con- textual attention.

RORem: Training a Robust Object Remover with Human-in-the-Loop Generative image inpainting with con- textual attention

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.747108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.747108Z digest=sha256:ccf62d5e4acd7643292eceb09ed38324f46b204a7ec50abf89568b373062aee2

Observation bf8b0854-5137-4419-8712-2b8f98e23493 · outbound

This paper cites Diverse image inpainting with bidirec- tional and autoregressive transformers.

RORem: Training a Robust Object Remover with Human-in-the-Loop Diverse image inpainting with bidirec- tional and autoregressive transformers

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.046813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.750898Z digest=sha256:5f394c7bb18f24e6939e27bb7bff6f8909d0af425b21d36adcbf61ee2b5863bf

Observation 2bd300b9-81d0-4626-9dc8-8ec910f91d64 · outbound

This paper cites Learning pyramid-context encoder network for high- quality image inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning pyramid-context encoder network for high- quality image inpainting

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.032770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.754318Z digest=sha256:ad107d592515eaadb63048502aa5904e0a833fa0401dd07228aa13cbb593d794

Observation c01cbd05-547a-4681-be0a-e3f70661913b · outbound

This paper cites Learning joint spatial-temporal transformations for video inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Learning joint spatial-temporal transformations for video inpainting

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.020908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.757463Z digest=sha256:0a4b0d2e3e4eff36bb81cf50361b00f19971d979760872c45679bc96368a26c1

Observation 58016d04-bd75-4da2-a431-fdcf495486ee · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

RORem: Training a Robust Object Remover with Human-in-the-Loop The unreasonable effectiveness of deep features as a perceptual metric

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.760946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.760946Z digest=sha256:bba18a6fa7db3cf8b51b54b01a6e63bfc8c971a137cfb1c46e5bf7f91815eeb2

Observation 89ec0eb6-67ec-41df-b64f-c715dcdd6e99 · outbound

This paper cites Hive: Harnessing human feedback for instructional visual editing.

RORem: Training a Robust Object Remover with Human-in-the-Loop Hive: Harnessing human feedback for instructional visual editing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:01.001154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.764423Z digest=sha256:3556c3aaad6f0ed632986388da7f1c3da6adaaa5c104a37b632024d46128e755

Observation 2ae779c9-4d15-443b-8f33-9cdb03950a4a · outbound

This paper cites Propainter: Improving propagation and transformer for video inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop Propainter: Improving propagation and transformer for video inpainting

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:48:00.988718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:48:00.767945Z digest=sha256:6cb4bd6d85658ee72b812471bd168a42f42f0e34685b56e8f862143c0592fda2

Observation 725dd121-97d2-4811-8086-ab8445f681d7 · outbound

This paper cites A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.

RORem: Training a Robust Object Remover with Human-in-the-Loop A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:00.772229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:00.772229Z digest=sha256:d15e2f2422a34515505a61d4e1d2b4e334ac46ccb57235da0677020e2095bf7a

Pith citing papers

Observation 04e71061-9389-46ed-8d80-078b050353e9 · inbound

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data cites this paper.

OmniEraser: Remove Objects and Their Effects in Images with Paired Video-Frame Data RORem: Training a Robust Object Remover with Human-in-the-Loop

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:46:32.066568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T20:46:31.497350Z digest=sha256:6988eb8db4f109b7a8fbca9e73d6ccf465da21c46981993eebe26b3b667fd1a7