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Paper Citation Record · LEDGER

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.19115.

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

pith.paper-citation-record.v1
2607.19115 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:28:42.407268Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0870830a-f7cd-40de-b6bc-01e49a68ac89 · outbound

This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 1

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source=pdf_text observed=2026-08-01T13:28:39.286633Z digest=sha256:4c8b327822309278b3b176bc62639f3e17bdcdaa1645696a8102b36e42101d4d

Observation 7617525e-6502-4e84-9f78-c5d8a203ec24 · outbound

This paper cites Multi3drefer: Grounding text description to multiple 3d objects.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Multi3drefer: Grounding text description to multiple 3d objects

Reference 2

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source=pdf_text observed=2026-08-01T13:28:39.398186Z digest=sha256:a5cecdb4fa74ba9b9be83a63efc53e8fb5508112fc340f322f1a5662b4bb0956

Observation 59913f7c-1d99-49d3-a783-8603cd588000 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Image retrieval on real-life images with pre-trained vision-and-language models

Reference 3

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source=pdf_text observed=2026-08-01T13:28:39.528280Z digest=sha256:a75b5ecbd16d3ccf5192eebdde87be362ebcd571afc5771608590a84ac75ed8e

Observation 1cca4f9c-5298-47e7-8dcc-cee93cf69c06 · outbound

This paper cites Zero-shot composed image retrieval with textual inversion.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Zero-shot composed image retrieval with textual inversion

Reference 4

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source=pdf_text observed=2026-08-01T13:28:39.675882Z digest=sha256:b95bc3e50a65058cd614455e4a44a4aca5e91abf9b3c3866f03df2f25bbb10a9

Observation 7254a2ab-5857-4fd0-8ac4-9ca21928b1f2 · outbound

This paper cites Composing Text and Image for Image Retrieval - An Empirical Odyssey.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Composing Text and Image for Image Retrieval - An Empirical Odyssey

Reference 5

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source=pdf_text observed=2026-08-01T13:28:39.782804Z digest=sha256:d9f1bee8cb13335fefcc17f44a162b7ad6936564a65b7ff3a66f7ac66f431e61

Observation 16a9d165-5614-450a-be5c-53b5dde88ea7 · outbound

This paper cites Effective conditioned and composed image retrieval combining clip-based features.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Effective conditioned and composed image retrieval combining clip-based features

Reference 6

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source=pdf_text observed=2026-08-01T13:28:39.918250Z digest=sha256:2098a264fb8574fef9cc5f6e8d74e6d2d93a5c2a0c7614a4287709532a46fdd9

Observation bbc903ec-637b-47e2-b7f3-8f0cebfa60bc · outbound

This paper cites Vision-by-Language for Training-Free Compositional Image Retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Vision-by-Language for Training-Free Compositional Image Retrieval

Reference 7

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source=pdf_text observed=2026-08-01T13:28:40.030166Z digest=sha256:5f4d60b4746980450f17480054b8f6b8a38e95b9e557e701c44ae070a5f7ba5f

Observation ce7a457b-6b7c-4c74-bc47-1c9694e50564 · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval

Reference 8

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source=pdf_text observed=2026-08-01T13:28:40.180474Z digest=sha256:1d24772799b69473f22b579326a91f842d96b4656dc3c14cdf6001f02ab82122

Observation 8b9756ba-0473-4e46-8cc1-8f3e7f13d6c2 · outbound

This paper cites Compodiff: Versatile composed image retrieval with latent diffusion, 2024.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Compodiff: Versatile composed image retrieval with latent diffusion, 2024

Reference 9

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source=pdf_text observed=2026-08-01T13:28:40.307489Z digest=sha256:048be29054109f052c34aa381d262c53da079d41f20bb29c3d2dd5c2cb65809f

Observation 91c3b21e-d9f5-4d32-b4b4-9d8fee6dfdcd · outbound

This paper cites Language-only Efficient Training of Zero-shot Composed Image Retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Language-only Efficient Training of Zero-shot Composed Image Retrieval

Reference 10

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source=pdf_text observed=2026-08-01T13:28:40.438064Z digest=sha256:3f0048d4bcfae57ca9f96b3e31f26660c2ee59b3eb19026d5cd844bc6c333834

Observation 47c939c2-f339-4be8-bb12-35839b2f50b7 · outbound

This paper cites PointCLIP: Point Cloud Understanding by CLIP.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval PointCLIP: Point Cloud Understanding by CLIP

Reference 11

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source=pdf_text observed=2026-08-01T13:28:40.550894Z digest=sha256:ec4763c4189f6ad9d4a22345133f1ebab9b936c0c2bae16fb676777ef55b6869

Observation 44399a56-962c-4aab-baf2-d1eea2a84a52 · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023

Reference 12

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source=pdf_text observed=2026-08-01T13:28:40.684540Z digest=sha256:72ae73910cc0bc9454aca65f5baf212e4c3f4361f37ddb4e386ec88adfdf990d

Observation 827edf0b-279a-4246-acc1-54979f537bd6 · outbound

This paper cites Uni3D: Exploring Unified 3D Representation at Scale.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Uni3D: Exploring Unified 3D Representation at Scale

Reference 13

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source=pdf_text observed=2026-08-01T13:28:40.804760Z digest=sha256:00608e9e3979874f9d57ffa73a09f9637302014aedd960472068b5576f214638

Observation 2f27b992-a45f-4ce0-b2e8-28f684b727e4 · outbound

This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Ulip-2: Towards scalable multimodal pre-training for 3d understanding

Reference 14

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source=pdf_text observed=2026-08-01T13:28:40.969347Z digest=sha256:3746ac4b14abb4cee315a71c10f839c55f3959df2d028c08765c73bf21234eb3

Observation d7e7e5be-d45e-46a3-8b8c-08614967c8ad · outbound

This paper cites 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment

Reference 15

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source=pdf_text observed=2026-08-01T13:28:41.116997Z digest=sha256:620e1d6fc8577dc3d75d32df6890d6e9d29d20eb7f0349295298cc839296be39

Observation a8a3588e-322f-449d-81cb-443cfa3d2159 · outbound

This paper cites 3D-LLM: Injecting the 3D World into Large Language Models.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval 3D-LLM: Injecting the 3D World into Large Language Models

Reference 16

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source=pdf_text observed=2026-08-01T13:28:41.240174Z digest=sha256:2579b5be81e35b0b2e915ffde55fb5013f4f1cd82b70908b60ce6ee5af75d55c

Observation 8d5cbfb9-d64d-4d45-8f92-dad97c174035 · outbound

This paper cites PointLLM: Empowering Large Language Models to Understand Point Clouds.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 17

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source=pdf_text observed=2026-08-01T13:28:41.335244Z digest=sha256:eacb38ebd3ee112cc7ac454e5876786834750022b7abf2f70b52658008ec449c

Observation 7efccbba-2d19-40f6-9947-1cc66cdec931 · outbound

This paper cites SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs

Reference 18

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source=pdf_text observed=2026-08-01T13:28:41.481839Z digest=sha256:3606c2625e00451380aa36f4416b217c8362b317ae29fedb25f54981d76b3614

Observation addb6ed4-e83c-4ecc-a596-0d4ffe757260 · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 19

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source=pdf_text observed=2026-08-01T13:28:41.598350Z digest=sha256:7751fef906b555a3f5b5172d46df7b513dd6ab8100908eddb0d62e5d5361a326

Observation 28bc1e2e-7037-4e1c-bb04-e7e2851c6c7f · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding, 2022.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Scanqa: 3d question answering for spatial scene understanding, 2022

Reference 20

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source=pdf_text observed=2026-08-01T13:28:41.696371Z digest=sha256:f2fb534498b9f531db3e900c14d8a958c23a5e14f1c2197a2c90bef78def2309

Observation f1099b5a-e6ea-4ba9-a303-c352bf1441e3 · outbound

This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Sceneverse: Scaling 3d vision-language learning for grounded scene understanding

Reference 21

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source=pdf_text observed=2026-08-01T13:28:41.808263Z digest=sha256:2ad09b47c95c519b9f6d2e78ecacfb74b6f0048e4beacb46320f0e2bf0fc3d05

Observation 8441237e-ef62-4668-a223-6e209038fd8b · outbound

This paper cites Shapetalk: A language dataset and framework for 3d shape edits and deformations.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Shapetalk: A language dataset and framework for 3d shape edits and deformations

Reference 22

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source=pdf_text observed=2026-08-01T13:28:41.899560Z digest=sha256:0eac3b774f9060fd77262b65d236e868233cef554aaf8587fa4f0fcd3a407d17

Observation 1b18aabd-8815-45e8-9619-2e5a6d2b21ed · outbound

This paper cites DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Reference 23

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source=pdf_text observed=2026-08-01T13:28:42.012546Z digest=sha256:cff8ce6d63a8970235f64a499efe10215e832bd1322385b8cdd3777978976893

Observation 9b561c93-6303-40a3-b87d-a6f9383e3b56 · outbound

This paper cites InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Reference 24

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source=pdf_text observed=2026-08-01T13:28:42.153220Z digest=sha256:1da61bf188c23f65ac2e805d7b561ba3ff8acd2e6779b6dd0cb3fe580da9cd60

Observation 742f1192-4473-402d-922f-36058ee7ea7f · outbound

This paper cites EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing

Reference 25

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Observation 61ead812-5d1c-44d6-8afe-c0cf88181cde · outbound

This paper cites in roughly the same layout.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval in roughly the same layout

Reference 26

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source=pdf_text observed=2026-08-01T13:28:42.407268Z digest=sha256:ebbc4e5ea6f117eae58c01795587e304bcb74dc9d03b67a12edd684c8a08493e

Pith citing papers

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