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Paper Citation Record · LEDGER

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.00777.

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

pith.paper-citation-record.v1
2509.00777 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:20:21.694657Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71d9bfbe-5da9-4f72-9fef-139cd3f49f36 · outbound

This paper cites Enhanced transfer learning for autonomous driving with systematic ac- cident simulation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Enhanced transfer learning for autonomous driving with systematic ac- cident simulation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6e6a172e-9155-4fe5-b217-dd5d9ef7375d · outbound

This paper cites An end-to-end curriculum learning approach for autonomous driving scenarios.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects An end-to-end curriculum learning approach for autonomous driving scenarios

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c9a4e3f-397c-42cf-acd0-f08cc26352e9 · outbound

This paper cites ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer

Reference 3

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local_arxiv, observed 2026-08-05T13:20:21.818656Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d721bcc-aa88-4820-9e9e-17ecad44a016 · outbound

This paper cites Curriculum learning for vehicle lateral stability estimations.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Curriculum learning for vehicle lateral stability estimations

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.550618Z digest=sha256:6406089e1c440c9d3b22b7f93124d1057dd8b1dea8fec95a6f0c33f8537cb5bb

Observation f655ed21-a544-4f01-b420-62b08804221c · outbound

This paper cites Cnn based learning using reflection and retinex models for intrin- sic image decomposition.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Cnn based learning using reflection and retinex models for intrin- sic image decomposition

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.554368Z digest=sha256:f3e25a511695427b42c99c03ba4bb50a38285d070888e8d1d9795f7a86928ab7

Observation 76291274-5207-4806-930e-e940ce16b932 · outbound

This paper cites Intrinsic images in the wild.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Intrinsic images in the wild

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1f923caf-8132-41de-bdf4-6b80ebfaefdc · outbound

This paper cites An l 1 image trans- form for edge-preserving smoothing and scene-level intrinsic decomposition.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects An l 1 image trans- form for edge-preserving smoothing and scene-level intrinsic decomposition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.561268Z digest=sha256:302cac49745d8ee43e99967f0c18c6f0732c7fbd14e5af7dc2d0a9b54a723beb

Observation 4ed23ee4-e779-4f82-a327-33a317fa457d · outbound

This paper cites Deep cg2real: Synthetic-to-real translation via image disentanglement.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Deep cg2real: Synthetic-to-real translation via image disentanglement

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.564211Z digest=sha256:0b05a54b969fc69666d61131b42fe66679f739b45573aaaed9fd2da5fa9ce077

Observation e49b3921-6ca4-47b7-9e73-000f338cd569 · outbound

This paper cites Unsupervised pixel- level domain adaptation with generative adversarial net- works.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Unsupervised pixel- level domain adaptation with generative adversarial net- works

Reference 9

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raw_fallback, observed 2026-08-05T13:20:22.168906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.567196Z digest=sha256:b4b34b2168238b04427b546341dd188819c58bdd70fcb90a605bbe65efb9090c

Observation 4353ac80-92e9-4a2d-b47c-cf49021caf0c · outbound

This paper cites A naturalistic open source movie for opti- cal flow evaluation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects A naturalistic open source movie for opti- cal flow evaluation

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e879fe3-2ad7-4f3b-9ba5-c3d3ac5b8300 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Emerg- ing properties in self-supervised vision transformers

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.572825Z digest=sha256:40298738cac91390e2e177e1f5b189838140acbd60ac4a77e0d512b786c88fb9

Observation 0634823e-3dc7-40aa-bf8c-a18aa00a7db9 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects ShapeNet: An Information-Rich 3D Model Repository

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca687ba7-0076-4060-9967-308e3c520339 · outbound

This paper cites IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination

Reference 13

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Observation fcd4d6b2-9dd2-4fcd-b2ca-3eb6254e5217 · outbound

This paper cites Non-local intrinsic decomposition with near-infrared priors.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Non-local intrinsic decomposition with near-infrared priors

Reference 14

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raw_fallback, observed 2026-08-05T13:20:22.138809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 402960ed-a21d-4344-830e-b09e24d6d5f8 · outbound

This paper cites Cross-domain transfer learning with corte: Consistent and reliable transfer from black-box to lightweight segmentation model.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Cross-domain transfer learning with corte: Consistent and reliable transfer from black-box to lightweight segmentation model

Reference 15

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raw_fallback, observed 2026-08-05T13:20:22.128883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c6b54f5a-c594-470c-bdc3-cba1559148cb · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Objaverse: A Universe of Annotated 3D Objects

Reference 16

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source=pdf_text observed=2026-08-05T13:20:21.587781Z digest=sha256:23c555bc9c92a2933b7572418896f2cdc38a5efb8163db140ebc4613bdb2cf7b

Observation 6d79afaa-aea5-4945-9875-ada1e9639194 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Imagenet: A large-scale hierarchical image database

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6e6b2574-6477-466a-997f-866db0cd0ff4 · outbound

This paper cites Ground truth dataset and baseline eval- uations for intrinsic image algorithms.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Ground truth dataset and baseline eval- uations for intrinsic image algorithms

Reference 18

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Observation 70f77edc-377f-45ea-b09b-060250dfbb44 · outbound

This paper cites Deep residual learning for image recognition.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Deep residual learning for image recognition

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8bd81201-8ba6-4bde-a5c8-c4d361e6892d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Distilling the Knowledge in a Neural Network

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:21.602944Z digest=sha256:2df42d3389d52ff0046f42703de25839ea28b622831ab4e9164e739a4de35513

Observation a16185c9-6e4a-4e11-baf2-1cc3b088bb9b · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Cycada: Cycle-consistent adversarial domain adaptation

Reference 21

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Unavailable: canonical work link unavailable.

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Observation dab1d683-4c39-4ce8-9e15-e6941b323071 · outbound

This paper cites Synthetic-to-real domain adaptation using contrastive un- paired translation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Synthetic-to-real domain adaptation using contrastive un- paired translation

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-05T13:20:22.075267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 87b3bba7-f834-4aa3-8f5b-727b24f085c2 · outbound

This paper cites End-to-end ego lane esti- mation based on sequential transfer learning for self-driving cars.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects End-to-end ego lane esti- mation based on sequential transfer learning for self-driving cars

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 34965522-68a2-4fd7-9944-d825354a393c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Adam: A Method for Stochastic Optimization

Reference 24

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Observation 9f49bbe2-7335-48cb-8206-ca26e533e81e · outbound

This paper cites Intrinsic Image Diffusion for Indoor Single-view Material Estimation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Intrinsic Image Diffusion for Indoor Single-view Material Estimation

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:21.618620Z digest=sha256:6f3d0cdb4679ae244946c4aa33f3246cb0b1f0a201d8ddf434385bfa14f1adc6

Observation ae4019ff-7a26-4611-a6f6-17cd963e29e5 · outbound

This paper cites Shading annotations in the wild.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Shading annotations in the wild

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.621833Z digest=sha256:25d3f04ffd5eccbc1efd96b7b9ebb398e63aa56a2e3818212ba84c0e0ae71cab

Observation d52eb23b-f073-4c9e-baf8-7cddc1a65b59 · outbound

This paper cites Self-paced learning for latent variable models.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Self-paced learning for latent variable models

Reference 27

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raw_fallback, observed 2026-08-05T13:20:22.044740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.625146Z digest=sha256:1c9b5f387748bc6839c425a4acf683d23607aa4ac71b47bebba69a5d4134d6f7

Observation 8f4154cf-920d-4ad9-aa73-35425198d8be · outbound

This paper cites Camera-driven repre- sentation learning for unsupervised domain adaptive person re-identification.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Camera-driven repre- sentation learning for unsupervised domain adaptive person re-identification

Reference 28

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raw_fallback, observed 2026-08-05T13:20:22.033098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.628555Z digest=sha256:18505fa824c660b657228b388751e88b94f9dad4d2ed46850686eb90d605be3d

Observation adea33a5-3d1e-4e3f-b208-2fe10916384d · outbound

This paper cites Self-distillation for ro- bust lidar semantic segmentation in autonomous driving.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Self-distillation for ro- bust lidar semantic segmentation in autonomous driving

Reference 29

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raw_fallback, observed 2026-08-05T13:20:22.022003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.631453Z digest=sha256:488bce5757e4fb815df7530e7ed0b8b41eccfa2030cab84507c216f289ea0525

Observation 875d5ba1-56fd-4da3-af50-4d62b860d212 · outbound

This paper cites Single image layer separation using relative smoothness.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Single image layer separation using relative smoothness

Reference 30

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raw_fallback, observed 2026-08-05T13:20:22.010898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.634218Z digest=sha256:1d233fc758e1af448175283bac64dc7f5f796a66383681a58212eadb55989f57

Observation ac015577-ec30-417e-a085-4fe95618f46c · outbound

This paper cites ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:21.636924Z digest=sha256:8b81457b1c5491998d15399064aaa435c307a5ac5c24c1d160548cde0ad3ab99

Observation 2c8420f0-833f-47ca-bea8-bb6f6b24c942 · outbound

This paper cites Cgintrinsics: Better intrinsic image decomposition through physically-based rendering.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Cgintrinsics: Better intrinsic image decomposition through physically-based rendering

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:22.000999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.639959Z digest=sha256:8fac8f6ecdd083e0bc7133b7766b8e9ff0bd24fb22f0ebe8b17c1d486c4c59f1

Observation fc7c6c36-0e06-460a-a6d4-1bdc3241b29d · outbound

This paper cites MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors

Reference 33

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verified exact
local_arxiv, observed 2026-08-05T13:20:21.731054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.642810Z digest=sha256:66f66d3b2f18a0bc7558ce9e40d8c7129fc6bd8fb18610f3116df0668a77a96d

Observation 9cbda488-fe63-4bab-a847-5da2b797ef4a · outbound

This paper cites Guid- ing pseudo-labels with uncertainty estimation for source- free unsupervised domain adaptation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Guid- ing pseudo-labels with uncertainty estimation for source- free unsupervised domain adaptation

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.991418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.646185Z digest=sha256:2158e55f2998a53d8eeaa80c0839fabc16a5ed405d92228fb1066d927c2a5121

Observation 66b42ad4-abd7-48c2-bcc1-c5170c75862a · outbound

This paper cites Lime: Live intrinsic material esti- mation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Lime: Live intrinsic material esti- mation

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.981051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.649373Z digest=sha256:6b3b2db55e421becbcddefca918e34aa56a2b0eab4786f4b08dbab935ee0640e

Observation 110862a5-edcb-45f5-a789-0debbb220e15 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:21.652034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:21.652034Z digest=sha256:229c36c6adb922400375c4f01323fe8c47e0933d63fa799f7ac59f2856564a77

Observation 448ad463-230d-4e84-a679-c4f2610402bb · outbound

This paper cites Ganerated hands for real-time 3d hand tracking from monocular rgb.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Ganerated hands for real-time 3d hand tracking from monocular rgb

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.962964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.655199Z digest=sha256:5e252dece8a8db81a19c3311c98150988fc2eac341ea70729a2082143b1258a2

Observation 8da55f25-306b-4f14-8bab-a47a2bfdb2d6 · outbound

This paper cites Image to image transla- tion for domain adaptation.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Image to image transla- tion for domain adaptation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.951901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.658217Z digest=sha256:f6791558af7216ba4c99301387c8da4b6d1c2420ffe02c16af96fd74c6213920

Observation fb36727c-194f-4865-b7a3-50a2bece4c6f · outbound

This paper cites Automatically gen- erated curriculum based reinforcement learning for au- tonomous vehicles in urban environment.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Automatically gen- erated curriculum based reinforcement learning for au- tonomous vehicles in urban environment

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.941240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.660990Z digest=sha256:a279ef6f9c43aa9a366fea5bad7454ea06e6a625325d9e30d5ba105d903848fc

Observation 242c1ff4-342e-4f44-a673-9d5d5909568d · outbound

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

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Learning transferable visual models from natural language supervi- sion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.930812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.663626Z digest=sha256:2ed9981699e4ac0907f2d2e0e947ea28dfe373c76703008b9a61fa7a07844bea

Observation cd602776-0e5b-4067-a168-cef3d1d9e928 · outbound

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

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:21.667178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:21.667178Z digest=sha256:2d66d5396f28d38f0027bc3d179d33edf529dbabe60c73cd70f999cfaa520367

Observation b3972827-43fc-4ffa-8a12-30a617fb0c51 · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Image-to-lidar self-supervised distillation for autonomous driving data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.914544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.670217Z digest=sha256:f284e9c00cea57f40d9b5ffd85804cd10fc62c8fb05f181cf077d8afebebb1ca

Observation 5e73a6ec-fcad-42bf-8d1e-9c3b25168865 · outbound

This paper cites Learning non- lambertian object intrinsics across shapenet categories.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Learning non- lambertian object intrinsics across shapenet categories

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.903385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.673581Z digest=sha256:49aa379b57985b220cd5d7689caa7135123e65732b153aa4bd96033fb317ed5d

Observation aeb7d213-2fce-4779-8dcf-7caa2bca7614 · outbound

This paper cites Autonomous overtaking in gran turismo sport using curriculum reinforcement learning.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Autonomous overtaking in gran turismo sport using curriculum reinforcement learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.893757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.676560Z digest=sha256:e5ed4d08e265f24c93b57f39c88fc45845b0e3db6612b5c68f9d8e074973993b

Observation cc57417b-64cc-49fa-abac-a5398e9d03a8 · outbound

This paper cites Curriculum self-paced learning for cross-domain ob- ject detection.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Curriculum self-paced learning for cross-domain ob- ject detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.884536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.679564Z digest=sha256:4614d478cd5145f3160f1baa9f680e521fad6e2094d3574c598bc6beea55eb9f

Observation 7cc2c6c1-b1e7-4b37-800f-ca772645b54a · outbound

This paper cites Diffusion model align- ment using direct preference optimization.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Diffusion model align- ment using direct preference optimization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.873140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.682381Z digest=sha256:ed8dc1111567820ce696862aa22339e1c87f24eb8e831397101ecd95010f4dd3

Observation 84e9b1e7-04ba-4d88-8f68-4c98d1379e10 · outbound

This paper cites Mvimgnet: A large-scale dataset of multi-view images.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Mvimgnet: A large-scale dataset of multi-view images

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.862315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.685414Z digest=sha256:6c56916444fa038d5134f7bf9ecae1eb64c160fa80450122a44f5cacf010d550

Observation 2cbf4f96-3043-4772-95a4-57649cb71dd9 · outbound

This paper cites Rgbx: Image decomposition and synthesis us- ing material-and lighting-aware diffusion models.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Rgbx: Image decomposition and synthesis us- ing material-and lighting-aware diffusion models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.851711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.688483Z digest=sha256:d6c5cac942791f4e3290b8f364eae33067725a363c79c5018b3b5a0228436497

Observation a54b030d-457b-4514-b120-19d447ed39bf · outbound

This paper cites Pointdistiller: structured knowledge distillation to- wards efficient and compact 3d detection.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects Pointdistiller: structured knowledge distillation to- wards efficient and compact 3d detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.841356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.691585Z digest=sha256:5a0aa89175301594082664a5c6190cc5021ede726aa7fab5810f70cecf770ed1

Observation 0d80b3e6-0c9d-4d4f-8cb7-de162c09f484 · outbound

This paper cites T2net: Synthetic-to-realistic translation for solving single-image depth estimation tasks.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects T2net: Synthetic-to-realistic translation for solving single-image depth estimation tasks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:21.829765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.694657Z digest=sha256:bbc3409bb404f44a0b8a682dab71c7cdeb715cd900cb60513c78432b73168fb6

Observation 592757c0-d8e2-4319-b82f-214242b7a262 · outbound

This paper cites 3, 6, 7, 8, 14.

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects 3, 6, 7, 8, 14

Reference 2342

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:20:22.102539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T13:20:21.596605Z digest=sha256:15ae734ee94bfd679b76aec6ce218092a00484dd1ba927b7bd369664714f6e9a

Pith citing papers

No inbound Pith citation observations are available.