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Paper Citation Record · LEDGER

Occupancy Learning with Spatiotemporal Memory

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2508.04705.

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

pith.paper-citation-record.v1
2508.04705 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:51:20.850050Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T10:49:28.959330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.620306Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e954c90f-7f5e-4d7d-8176-d450d099e417 · outbound

This paper cites write newline.

Occupancy Learning with Spatiotemporal Memory write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-05T23:51:18.855451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:18.855451Z digest=sha256:93951337416b02f5e0ab28301898a6c2d6ce5d114d454f5c7d91744ae79dcdc5

Observation 9162551f-c72b-40c7-ae31-59656b206439 · outbound

This paper cites https://www.youtube.com/watch?v=j0z4FweCy4M, 2021.

Occupancy Learning with Spatiotemporal Memory https://www.youtube.com/watch?v=j0z4FweCy4M, 2021

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T23:51:24.019090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:18.896813Z digest=sha256:134f98191d0db6d8d5a823140344da4a70f05fed91debe8401ce8ff1343ec58a

Observation 144daf1b-7fe3-4fe0-bbe7-334163ed0ef5 · outbound

This paper cites The lov \'a sz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

Occupancy Learning with Spatiotemporal Memory The lov \'a sz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.914271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:18.984444Z digest=sha256:4da07b51c021b24835babe01151c6d4d22ecfb0ec78ea0082e6f7061f382276f

Observation 47639ead-5491-4f99-a678-eab381e8eead · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Occupancy Learning with Spatiotemporal Memory nuscenes: A multimodal dataset for autonomous driving

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.827697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.088363Z digest=sha256:4842481c80047dfab7b12113b187c1864e75896c392ce0379bc73ec993f49791

Observation 3958b0ba-49bf-4cb9-8b66-f440c5a7ffb9 · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion.

Occupancy Learning with Spatiotemporal Memory Monoscene: Monocular 3d semantic scene completion

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.719138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.162968Z digest=sha256:46e62f9d1e332485ab053bddf6ed48cc8e92c35e112bb30fcb76d8579eb8e295

Observation e1192957-577f-4b18-bc81-1d065538dc21 · outbound

This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty awareness.

Occupancy Learning with Spatiotemporal Memory Pasco: Urban 3d panoptic scene completion with uncertainty awareness

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.615901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.195213Z digest=sha256:941d0ee0f322ee10363d7f491348aa44c7a1ccb20b8597e2ad5a1f8c55b4ed40

Observation 33b6912e-eb69-4aa0-8c1f-a1738cdb38a7 · outbound

This paper cites Environment perception using grid occupancy estimation with belief functions.

Occupancy Learning with Spatiotemporal Memory Environment perception using grid occupancy estimation with belief functions

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.516257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.244005Z digest=sha256:c54c5e3a24cfad985b4dee523cc435e556a0ef2d0744f8b46bd39f7197b46180

Observation 4dbfd499-7ebb-4a17-86ce-868886bb36d3 · outbound

This paper cites Deep residual learning for image recognition.

Occupancy Learning with Spatiotemporal Memory Deep residual learning for image recognition

Reference 8

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unresolved
no resolver link, observed 2026-08-05T23:51:19.291101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.291101Z digest=sha256:ebb0bbab253c15847e2a7f5e6e19f3d65761a1adf3f6ef63c1c1ece3ea25dac7

Observation 78d68892-603d-4433-8161-3bc79b45bdf2 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

Occupancy Learning with Spatiotemporal Memory BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T23:51:19.368461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.368461Z digest=sha256:3005f2a5b7229b472036dad2f2353f2504784073ba5cae1057a30d029057e885

Observation a4c64ca7-2145-4e3a-9aed-765017d56550 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Occupancy Learning with Spatiotemporal Memory BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T23:51:19.416437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.416437Z digest=sha256:e88c4b30ecaafb24223a3a8b406f18ffc5a6807f81c04810b74cf9cc982232f3

Observation 158ed3b0-0a40-4ce2-8e37-14c45459f867 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction.

Occupancy Learning with Spatiotemporal Memory Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.427104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.462381Z digest=sha256:4d54bbd29b61cf8b3a8fcb1dd9069b0ece0c79af3cd2f8e4e0859bbe42cc9b3d

Observation 396a3ad1-89b1-4983-9cab-73fdf7e69e57 · outbound

This paper cites OccMamba: Semantic Occupancy Prediction with State Space Models.

Occupancy Learning with Spatiotemporal Memory OccMamba: Semantic Occupancy Prediction with State Space Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:51:21.410026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.495952Z digest=sha256:da5393d105197d58d43a07f5ceac0607c39f6ee18315becf9874cba9f799458e

Observation fe10b755-5ff7-415b-aa74-576aa11df179 · outbound

This paper cites Viewformer: Exploring spatiotemporal modeling for multi-view 3d occupancy perception via view-guided transformers.

Occupancy Learning with Spatiotemporal Memory Viewformer: Exploring spatiotemporal modeling for multi-view 3d occupancy perception via view-guided transformers

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.373306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.528908Z digest=sha256:10868263bda546fe43f4941e6bf18df4ebe07ac25c71704cc92134511f172c87

Observation 4ba41190-0d74-466d-a670-089eddb78870 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection.

Occupancy Learning with Spatiotemporal Memory Bevdepth: Acquisition of reliable depth for multi-view 3d object detection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.319598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.560502Z digest=sha256:61c4980f4a00390dc5601740b4834d6ecf3a344aea84ff90b7b702dd92a00d99

Observation 9d8d949d-4cb7-49e0-ac2a-4cd02ea5604a · outbound

This paper cites Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion.

Occupancy Learning with Spatiotemporal Memory Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.203829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.608317Z digest=sha256:0afd084a54b12f2ad2342e945b805dcae9d59e15fe01c3a4582c2ce6c077625a

Observation 833d1a48-45ac-4403-9276-764780920f9d · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

Occupancy Learning with Spatiotemporal Memory Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:23.073390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.655152Z digest=sha256:c824d6dc39592d7e45bb145b1688425d88f0555cc287d8590fb2d9d389af5302

Observation 1b3c3847-d199-4b8d-b7c6-280890b3fa6e · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

Occupancy Learning with Spatiotemporal Memory FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 17

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unresolved
no resolver link, observed 2026-08-05T23:51:19.693511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.693511Z digest=sha256:5f4a356800c1ee43e5c2f6f5d824dd89ade10384dd5785559df77eea1cb43514

Observation 371d210d-9a8e-439b-b1f5-acac1e1e303d · outbound

This paper cites Fb-bev: Bev representation from forward-backward view transformations.

Occupancy Learning with Spatiotemporal Memory Fb-bev: Bev representation from forward-backward view transformations

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.959554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.734957Z digest=sha256:38f7dda4ad04a3d487add260163fbd26a4fc7f6a9571233c193260382e83475d

Observation d2341f5e-3bcb-4c1e-842e-236aee0a2822 · outbound

This paper cites Focal Loss for Dense Object Detection.

Occupancy Learning with Spatiotemporal Memory Focal Loss for Dense Object Detection

Reference 19

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unresolved
no resolver link, observed 2026-08-05T23:51:19.766748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.766748Z digest=sha256:55d4467fb4d2cafa836d38646b67e3122969134209483d4f4ef580be16994888

Observation cd52c2aa-ee73-409f-bdf7-85f4638a0196 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

Occupancy Learning with Spatiotemporal Memory Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 20

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unresolved
no resolver link, observed 2026-08-05T23:51:19.799531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:19.799531Z digest=sha256:f62a464d42fa499221663af976282d0d68f583d2bf6ef7b6bbee8f265ebe1b52

Observation 145f380f-3aac-48fb-9ca3-3fdd01271532 · outbound

This paper cites Fully sparse 3d occupancy prediction.

Occupancy Learning with Spatiotemporal Memory Fully sparse 3d occupancy prediction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.808917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.847209Z digest=sha256:db92d44570db84f72cdcdcbaad6c51c7e5d81f87852f6c421d84f4eb96967be1

Observation 6f5e0506-f2a9-4bf7-bffc-199dd04c458f · outbound

This paper cites Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction.

Occupancy Learning with Spatiotemporal Memory Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.676274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.947659Z digest=sha256:a01d511a902c7f0281d31cc60bbe27e7961f02dab188bc72f069ef17040d7483

Observation 52748eb0-ea69-4109-a666-e30855d7942b · outbound

This paper cites OpenDriveLab Challenge 2024: Occupancy and Flow Track , 2024.

Occupancy Learning with Spatiotemporal Memory OpenDriveLab Challenge 2024: Occupancy and Flow Track , 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.601067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.053988Z digest=sha256:366804dd0bf84720ec03551eb71b3b357c654eef50a0062f16f56f038f48e72f

Observation ac9f0ec7-01d6-4994-8ffc-1431a33b8def · outbound

This paper cites Octocc: High-resolution 3d occupancy prediction with octree.

Occupancy Learning with Spatiotemporal Memory Octocc: High-resolution 3d occupancy prediction with octree

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.518712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.107533Z digest=sha256:1d304471f4af612f15742e5911f7c62016aa0931c05577dd5d4cc69126b21d32

Observation d6a0caeb-042f-445c-b0e7-a8a260b466dc · outbound

This paper cites Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection.

Occupancy Learning with Spatiotemporal Memory Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T23:51:20.135441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:20.135441Z digest=sha256:f62ab54436e2c54d06bd9e1010776bd3bdbef0b6687e231604588e674dcb81e3

Observation c823edf7-7e0c-467d-9121-49ef8e134b6a · outbound

This paper cites Dynamic occupancy grid mapping with recurrent neural networks.

Occupancy Learning with Spatiotemporal Memory Dynamic occupancy grid mapping with recurrent neural networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.439193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.176500Z digest=sha256:1a77815d261dc44e840522fd2adef47c6a2e5f268bae220b646faa7aed53d1ef

Observation 992d9adb-0709-407a-a6bd-8a5c60833db0 · outbound

This paper cites Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving.

Occupancy Learning with Spatiotemporal Memory Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:51:21.158971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.219872Z digest=sha256:1b79e49e2af5006013a05edc9ebb738d0606179b64dd7427028a6bf4334fc88e

Observation 085ab48a-0698-415f-8080-a87ae51b873f · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.

Occupancy Learning with Spatiotemporal Memory Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.352108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.322556Z digest=sha256:a91f96f8fb7ed0c58235a1e9e645613522220968775bdd720ec56c97e5a9b9f0

Observation f5eae1e1-1fee-4968-9573-df2b888a797e · outbound

This paper cites Scene as occupancy.

Occupancy Learning with Spatiotemporal Memory Scene as occupancy

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.258391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.369184Z digest=sha256:88834fa944a7c67c1de5639af2c165e663e6c1fbb63747ef386e6fb9faa85b77

Observation 3556ffc4-8b95-49ca-abbe-3c0445b9bfe1 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

Occupancy Learning with Spatiotemporal Memory Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.185878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.386492Z digest=sha256:7a7d1bd3ef95bbca5fd2bb34cf5645adc276bc26bb08c8fea00666be9d37ace2

Observation a06df8b4-596d-4235-8c63-3fa6f6a2f55c · outbound

This paper cites Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception.

Occupancy Learning with Spatiotemporal Memory Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.090386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.431777Z digest=sha256:5a1013db59bccca375db0e70df01b3a7b3cbff84bed546aeb07cf422d80a7c78

Observation 1e4a890a-7c23-45a0-a08a-f543438c7b57 · outbound

This paper cites Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation.

Occupancy Learning with Spatiotemporal Memory Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:22.018474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.454214Z digest=sha256:fda42888d01e1d2f081151bc2e2e15736df5780299d447c3c96a4e58bffd68d4

Observation f6ffacd9-9782-49d8-80f1-6a85142e6e50 · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving.

Occupancy Learning with Spatiotemporal Memory Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:21.932467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.488618Z digest=sha256:2c2a164e967e42f6eb26dc6b188d5d75427eb64387fe6e36f408157311cf1f6a

Observation 71f45fea-d630-4004-820e-a57a9c732f5a · outbound

This paper cites FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.

Occupancy Learning with Spatiotemporal Memory FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T23:51:20.552560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:20.552560Z digest=sha256:b8dcffea812667a4651053c68d9f7de9993da51db9da8776906c242ddf994a9f

Observation 6aae849d-ff15-4f11-925d-f95806b5bf9f · outbound

This paper cites Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction.

Occupancy Learning with Spatiotemporal Memory Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:21.817425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.668866Z digest=sha256:0de67dd6d1d71f2dcfd51a027c1229e72fc89135868e5a03ce8a76e763a7b6b0

Observation 3b3afa1b-a13e-42a0-bf67-45de1ce024c3 · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

Occupancy Learning with Spatiotemporal Memory Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:51:21.641750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.745797Z digest=sha256:12187f545c1188a64603a7d306c995b183ded6937ab8a44b0346f87c1f1aa986

Observation 830b284f-5a86-4d15-a3f8-149fd25142b8 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Occupancy Learning with Spatiotemporal Memory Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T23:51:20.850050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:51:20.850050Z digest=sha256:0b6cc51a25ceae10693f47e62e3614d8e22eba6a45b01ab687103f3ae3f36931

Pith citing papers

Observation bc19af92-8c7f-4fb7-9d86-6b07e9fa5775 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models Occupancy Learning with Spatiotemporal Memory

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.621459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T07:08:41.071757Z digest=sha256:26c8203cad4ee9e3afb4f6bedeaf7c76d1a30849894b8384dd946b7ea615b17e

Observation 0ea9cf60-0ffd-4efc-a37f-b2c75449e029 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models Occupancy Learning with Spatiotemporal Memory

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:49:28.959330Z digest=sha256:70ded5dfaac3b73626ab9e49ca58e25a1932437d18e9a095ac5fd631d4876e9b