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Paper Citation Record · LEDGER

Self-Supervised Multimodal NeRF for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.19615.

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

pith.paper-citation-record.v1
2506.19615 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:14.387566Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy29
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 670b0930-5736-4da3-91b8-db22af9c620a · outbound

This paper cites CARLA: An open urban driving simulator,.

Self-Supervised Multimodal NeRF for Autonomous Driving CARLA: An open urban driving simulator,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29b7fec8-1d49-4366-a9e6-4b4f2eb32f2c · outbound

This paper cites LiDARsim: Realistic LiDAR simulation by leveraging the real world,.

Self-Supervised Multimodal NeRF for Autonomous Driving LiDARsim: Realistic LiDAR simulation by leveraging the real world,

Reference 2

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation caef83a8-8246-4cc6-9ef6-eab19bddaa5b · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

Self-Supervised Multimodal NeRF for Autonomous Driving NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 8f53ccb8-da9a-46e2-ab71-48f81697d3f2 · outbound

This paper cites LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis.

Self-Supervised Multimodal NeRF for Autonomous Driving LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T23:11:14.890674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 139437b1-68c0-4d46-868f-6d643bb7aa2d · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance,.

Self-Supervised Multimodal NeRF for Autonomous Driving K-planes: Explicit radiance fields in space, time, and appearance,

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dd6ab3ab-bd0f-4107-b98b-d88222be530d · outbound

This paper cites Neural Scene Graphs for Dynamic Scenes,.

Self-Supervised Multimodal NeRF for Autonomous Driving Neural Scene Graphs for Dynamic Scenes,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 427e7a73-7221-492f-a51f-3fe6a662221f · outbound

This paper cites Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5bcaf05c-6b0b-451d-8320-1db7e0ab0626 · outbound

This paper cites Zip-NeRF: Anti-aliased grid-based neural radiance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving Zip-NeRF: Anti-aliased grid-based neural radiance fields,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4c72ff5e-3bf2-4ecb-b07d-0bc1e06d29cc · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

Self-Supervised Multimodal NeRF for Autonomous Driving Instant neural graphics primitives with a multiresolution hash encoding,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:12.280947Z digest=sha256:4e4c053f58b5418fe96d42395edc92abf96949d7c499cee1d4052eb1c3efd87a

Observation d7795855-47e9-424c-9758-d8708714f63b · outbound

This paper cites Tensorf: Tensorial ra- diance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving Tensorf: Tensorial ra- diance fields,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 91fe1b64-30be-4c75-afdf-5ce0d966b128 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

Self-Supervised Multimodal NeRF for Autonomous Driving Plenoxels: Radiance fields without neural networks,

Reference 11

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Observation d1a2fdb7-9f33-4310-ab87-3821fad719e1 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction,.

Self-Supervised Multimodal NeRF for Autonomous Driving Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 998f7dd7-a1bd-42fc-b5b3-94d17e86111d · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks,.

Self-Supervised Multimodal NeRF for Autonomous Driving Efficient geometry-aware 3d generative adversarial networks,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e8b3bd61-f746-4be8-a983-b5f3217c3abb · outbound

This paper cites Tri- MipRF: Tri-Mip representation for efficient anti-aliasing neural radi- ance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving Tri- MipRF: Tri-Mip representation for efficient anti-aliasing neural radi- ance fields,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 78ee4ffc-b144-4433-8a77-4ebc9b76e784 · outbound

This paper cites LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes.

Self-Supervised Multimodal NeRF for Autonomous Driving LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes

Reference 15

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local_arxiv, observed 2026-08-06T23:11:14.751584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation eccd25ae-b16a-452a-9296-402f0d529034 · outbound

This paper cites Block-NeRF: Scalable large scene neural view synthesis,.

Self-Supervised Multimodal NeRF for Autonomous Driving Block-NeRF: Scalable large scene neural view synthesis,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:12.855700Z digest=sha256:918765097814b6adcd3f37c1d05a9ef9a1a208b090f0f249822ea5c4d42e9a34

Observation 566eaa58-e2b7-466b-beec-e2409e26909d · outbound

This paper cites LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Self-Supervised Multimodal NeRF for Autonomous Driving LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Reference 17

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local_arxiv, observed 2026-08-06T23:11:14.627792Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fd2f5479-7128-4066-a10d-dd32fe9e9864 · outbound

This paper cites NeRF-LiDAR: Gener- ating Realistic LiDAR Point Clouds with Neural Radiance Fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving NeRF-LiDAR: Gener- ating Realistic LiDAR Point Clouds with Neural Radiance Fields,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0b96401b-0fc3-4054-a3e9-8d11f1aca10f · outbound

This paper cites Urban radiance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving Urban radiance fields,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5dde5b0-c48e-4c63-9acd-e4230546c2e6 · outbound

This paper cites Neural fields meet explicit geometric representations for inverse rendering of urban scenes,.

Self-Supervised Multimodal NeRF for Autonomous Driving Neural fields meet explicit geometric representations for inverse rendering of urban scenes,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 567f69f5-b063-4041-91b3-14510d9afc0e · outbound

This paper cites NeuRAD: Neural Rendering for Autonomous Driving.

Self-Supervised Multimodal NeRF for Autonomous Driving NeuRAD: Neural Rendering for Autonomous Driving

Reference 21

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Source-reported events for the cited work

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Observation ccd74609-0484-42d7-9139-d51ae552e60a · outbound

This paper cites UniSim: A Neural Closed-Loop Sensor Simulator,.

Self-Supervised Multimodal NeRF for Autonomous Driving UniSim: A Neural Closed-Loop Sensor Simulator,

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f8681193-71f8-483c-a818-c0cb6b99cc3b · outbound

This paper cites Neural LiDAR fields for novel view synthesis,.

Self-Supervised Multimodal NeRF for Autonomous Driving Neural LiDAR fields for novel view synthesis,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 23508d6f-1b53-4c5b-9181-90b93cea5ada · outbound

This paper cites NeRF-LiDAR: Gen- erating realistic LiDAR point clouds with neural radiance fields,.

Self-Supervised Multimodal NeRF for Autonomous Driving NeRF-LiDAR: Gen- erating realistic LiDAR point clouds with neural radiance fields,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7cca1cae-594a-4418-971b-1a4edb110e19 · outbound

This paper cites Neural Scene Flow Prior,.

Self-Supervised Multimodal NeRF for Autonomous Driving Neural Scene Flow Prior,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b765f10e-e503-4fb3-9517-7de0b7388f4f · outbound

This paper cites MARS: An instance-aware, modular and realistic simulator for autonomous driving,.

Self-Supervised Multimodal NeRF for Autonomous Driving MARS: An instance-aware, modular and realistic simulator for autonomous driving,

Reference 26

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raw_fallback, observed 2026-08-06T23:11:17.259410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 531f210b-b64d-4b4b-93cb-93af36356a18 · outbound

This paper cites Non-uniform sampling strate- gies for NeRF on 360° images.

Self-Supervised Multimodal NeRF for Autonomous Driving Non-uniform sampling strate- gies for NeRF on 360° images

Reference 27

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raw_fallback, observed 2026-08-06T23:11:17.247923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9b49bc25-290b-49dc-8216-936a20278c12 · outbound

This paper cites Depth-supervised NeRF: Fewer Views and Faster Training for Free,.

Self-Supervised Multimodal NeRF for Autonomous Driving Depth-supervised NeRF: Fewer Views and Faster Training for Free,

Reference 28

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raw_fallback, observed 2026-08-06T23:11:17.146978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9b95e828-7e35-41c3-8712-d67d84b22b58 · outbound

This paper cites AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Self-Supervised Multimodal NeRF for Autonomous Driving AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis

Reference 29

Resolution
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local_arxiv, observed 2026-08-06T23:11:14.513659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c528cc5e-cfd6-48c5-9de1-4f605453f43a · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation,.

Self-Supervised Multimodal NeRF for Autonomous Driving Balanced multimodal learning via on-the-fly gradient modulation,

Reference 30

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raw_fallback, observed 2026-08-06T23:11:16.952685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4599748c-3b2e-4e53-b520-979293715526 · outbound

This paper cites Learning to balance the learning rates between various modalities via adaptive tracking factor,.

Self-Supervised Multimodal NeRF for Autonomous Driving Learning to balance the learning rates between various modalities via adaptive tracking factor,

Reference 31

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raw_fallback, observed 2026-08-06T23:11:16.605672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:13.883572Z digest=sha256:84a00c97241082964cf67e02705e3feb5254052576dd66ac7b04c2f16129f5a0

Observation 949c8195-e870-4b29-aeb9-30f83dd458a2 · outbound

This paper cites What makes training multi- modal classification networks hard?.

Self-Supervised Multimodal NeRF for Autonomous Driving What makes training multi- modal classification networks hard?

Reference 32

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raw_fallback, observed 2026-08-06T23:11:16.363194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 95d76ecb-62ec-4676-a6e4-25a760398d90 · outbound

This paper cites Neural scene flow prior,.

Self-Supervised Multimodal NeRF for Autonomous Driving Neural scene flow prior,

Reference 33

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no resolver link, observed 2026-08-06T23:11:14.017251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:14.017251Z digest=sha256:f6d614e3763b818c2dafd1b1b6a57e969ae62bf6b00277815591ca12cc80c49f

Observation 433cd95f-9174-4e47-ba24-7f750fdfd84d · outbound

This paper cites Fast Neural Scene Flow,.

Self-Supervised Multimodal NeRF for Autonomous Driving Fast Neural Scene Flow,

Reference 34

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raw_fallback, observed 2026-08-06T23:11:16.081491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.070430Z digest=sha256:6fb3c585898413186b23f3cc30e6295ec9fed9434c0e04155be3200ca63ea479

Observation 535f888e-1cf2-4355-a411-0e6dc1dcd13a · outbound

This paper cites NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non- linear Interpolation,.

Self-Supervised Multimodal NeRF for Autonomous Driving NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non- linear Interpolation,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T23:11:15.781209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.107749Z digest=sha256:3d88432f01577176c19b2f07eaa9728a744e3f1718bf29bc58d9c15f8222cc0d

Observation e7b5c1db-d9f9-46d4-b3e4-283d9b648b54 · outbound

This paper cites DynIBaR: Neural dynamic image-based rendering,.

Self-Supervised Multimodal NeRF for Autonomous Driving DynIBaR: Neural dynamic image-based rendering,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:15.501093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.158924Z digest=sha256:f288f8fc7dcd554022718539b5043da2b2376515de21a254bceba50818eee581

Observation c6304c81-3941-4331-affd-b853f5ec49b8 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,.

Self-Supervised Multimodal NeRF for Autonomous Driving KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:15.209284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.243018Z digest=sha256:6554f9a787e4045b2231365c0778638f403d45f72f4ce99f9abd43c149112aa3

Observation fd4c4af4-4db9-4f0f-b431-ea861007f778 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Self-Supervised Multimodal NeRF for Autonomous Driving Adam: A Method for Stochastic Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:14.290280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:14.290280Z digest=sha256:d64079fb1282c45ac81e58dee10ce03a944c77caa2287acfdac06b0270fd4cb0

Observation ac44e7a2-208f-4a62-9afa-8c68f46ade03 · outbound

This paper cites PCGen: A FORTRAN IV program to generate paired-comparison stimuli,.

Self-Supervised Multimodal NeRF for Autonomous Driving PCGen: A FORTRAN IV program to generate paired-comparison stimuli,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:15.107063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.335820Z digest=sha256:8bf4b051325ee3b504043f7e62f5fcd8f1a47befb9c53bd72b2e4fdf57f826cc

Observation 5fe7458d-59bd-471f-ac22-07004258d96f · outbound

This paper cites MOTS: Multi-Object Tracking and Segmen- tation,.

Self-Supervised Multimodal NeRF for Autonomous Driving MOTS: Multi-Object Tracking and Segmen- tation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:15.016975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:14.387566Z digest=sha256:0c69d65c4386313419105e7052d877a674b429a89a46142a04eef96c89ba69df

Observation 0186771c-fa5d-4af9-ab71-3e0b11760e3b · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2021/file/41263b9a46f6f8f22668476661614478-Paper.pdf.

Self-Supervised Multimodal NeRF for Autonomous Driving Available: https://proceedings.neurips.cc/paper files/ paper/2021/file/41263b9a46f6f8f22668476661614478-Paper.pdf

Reference 7851

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:17.270781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:11:13.508655Z digest=sha256:38754d67593afe2db8f70e36a1e74d3c58995dbbf99b712b9f5501032e2455f4

Pith citing papers

No inbound Pith citation observations are available.