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Paper Citation Record · LEDGER

IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects

As of 22 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 2026-08-22T06:32:14.747728+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

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.550618Z digest=sha256:0d7f374d2d2f963b871bbddb54255f283a3afc2676f6abefd391a6f8e5c4d11a

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.554368Z digest=sha256:855219743c978ee7923b78dced2515d4fbe69fd0739461c664645c8d44b1f6e4

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.561268Z digest=sha256:cdb2d361ac6a24cba6120be44c6842a5c8892d4cd25aad3ebb336300028b9872

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.567196Z digest=sha256:8c0452027dfb6f272390f701bacc10ad4627eb1ca97352a3bfda7ab14061f674

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.570051Z digest=sha256:86b03f435573937b51cbe545a2da9924047f9e7ea7c8c8957a874f52db1c60c5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.572825Z digest=sha256:220e8ee8e5cf541d91a9aa096cd3d8ab7d5520d88772b7df59169bdd343c4ed3

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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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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source=pdf_text observed=2026-08-05T13:20:21.579157Z digest=sha256:509b23dae35624d83e7e73a585ab90719b7798c3d6a5d7f5c3cd7e82214d4a83

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.582203Z digest=sha256:db8dcdc3f6aaef534c632ca26f4403f380ff6b38685e7f0142a4ea3276b25e65

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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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source=pdf_text observed=2026-08-05T13:20:21.593619Z digest=sha256:5f2c1bd29416764ed082977f40113e3a4b178c08068b485bff81d99555f5e641

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 2026-08-22T06:32:14.747728+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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Source-reported events for the cited work

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.

source=pdf_text observed=2026-08-05T13:20:21.606639Z digest=sha256:a13194c8b707b4d7d1c057c35c4874edca815259fd9454677455e5ebbdcafffd

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

Resolution
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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.609469Z digest=sha256:5e81693169b11272457b0b31255883ee5bcbd6abbe85faf3db83bba0030fb779

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.612410Z digest=sha256:62788a1becb4c1520e1d115f3764d14d5e9700a2ac9600a22f70eaa4dc69b2e1

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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source=pdf_text observed=2026-08-05T13:20:21.615292Z digest=sha256:3d2ccd26c35f2f3c1f78874ff7a80e19a012815832c748d788da3edd3e6fe4f0

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:f7b36f1e1d882dfb0a33680169f4e8997b386d6c9793b948c898ecd058e6fc34

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.621833Z digest=sha256:bf39d36a947fe6ea897c05cdb644e47ee74821edac19824faf01f2b5f924867b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.625146Z digest=sha256:16bd6b56a43dc1a28c047d145e72154aea84ef8aa6089ed11bec367bb1939331

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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verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.628555Z digest=sha256:a588d6366adf8f707ecb8e9ed470850afdb1d92ac07118bb8c638ba292c015f3

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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verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.631453Z digest=sha256:943d5847fc97663fcd0cf297d12e6cc4b3e8ebb3843a6affb0fb930b8ef59c8f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.634218Z digest=sha256:6b0f60336bb6c5e7d5c29ea96e1acd19e7930267104ebe735c34360179eb7873

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=sha256:26f78bf5b5e168ed395c26ee23c9b67bb0e9c1662fcffc2bdca0741ccfde9c07

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.639959Z digest=sha256:162d861e0d0ee4def863dc0e9d6418da3ac6e2538f3ecb9636f56ca7c1cb96b9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.642810Z digest=sha256:634e9b3e149f24178fed0e51dc96bb588bb140f00c3622f3d2c4d883b8a30759

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.646185Z digest=sha256:a230654806d67c4f777cdd7a4c831132e55d0dbf722cf3a1978ab60c6bee7aa7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.649373Z digest=sha256:fc769756724860325901663fab626fbd7194f28060863bba4b5577548e140cdf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.655199Z digest=sha256:34d58c40116614b06f93fa270a7ad96f1d18191e329ab35654722336ff99dbf0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.658217Z digest=sha256:9449e5120aca76ed15ab2a9a2d42e3335e6fd572e654391ee386cb35d83f44aa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.660990Z digest=sha256:b50718b96ac520177158c66a9811372bc77bacf29830f3c7adbd8771fc2c1f41

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.663626Z digest=sha256:5239fa73a688a94bbb169d865204f410c65f1076603bbad02339c2fe220cbe8d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.670217Z digest=sha256:0b4a16fee8807cecd28e09f7c6b4fa80af19a289d8c19390c3ab1c0da3b851a2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.673581Z digest=sha256:001413170ced3c1918996935bac9b54a4069e65066a2de5c4d069bd8a0e7b115

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.676560Z digest=sha256:983c8fee4c3fa89b2a85d7be16c6d8b8bcb67bced607b630f3f70f394b0c544a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.679564Z digest=sha256:90b91e6277e34aa02f093e4df86052e415f5cd67d238cc8697577d22f07b05b5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.682381Z digest=sha256:94b700515786cad636adb37982ff0060d354321d52b75aae9d0d8625cdbf1559

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.685414Z digest=sha256:462de8f04c6e111351453e13e12fcae74bf33d68f8fbb3204d8e947155468f79

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.688483Z digest=sha256:08d9ceb44946292da863a0b00271105fc4d46f293e77271323c8e51b0ca65a7a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.691585Z digest=sha256:f51c036c511e9cd0f4354528211e7dac0325b745cbd244eaad7516eb6ad0364d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.694657Z digest=sha256:90eb99f747cc6b05ecbbb21156ad2d94d68c20ef00b240ecd95bb05c18e4627f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T13:20:21.596605Z digest=sha256:ca0a19caf2ddba6682405c38cd3d5d77ea174d095e3860dcc8a5d0b59ee81197

Pith citing papers

No inbound Pith citation observations are available.