Pith. sign in

Paper Citation Record · LEDGER

Occupancy Learning with Spatiotemporal Memory

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
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=sha256:108bb29104ceece82462c1f1b519a5bf3b28600620951c97a10ebb0098345d4b

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:18.896813Z digest=sha256:12be2b5b9b6f55ece31b0ae98c2cb85d0e899d93d0b7ddcee1e059e276aea61b

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:18.984444Z digest=sha256:c97ffafc4ee7a6e45300fc8b7b466d562ea00b99fc76389894b7aba5b26175dd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.088363Z digest=sha256:84722295f4c371c4ee0a076894989c2025b09b11405f6806093db94a59c4474e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.162968Z digest=sha256:d5c8e3e1e4871f6d7c4a797ca6b7d91960510ce6e305918db605d58eb0f92dad

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.195213Z digest=sha256:7a781c4902fa506cf8289182cfc06aeaaf806e885109d73655de931112b8099d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.244005Z digest=sha256:c45f1b45d6aff1023e0f48e4af97c39b122581f870115bafc6f69494a9243ac9

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

Resolution
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:ab3308ec3ed99f4b3a5aa9b38de7feddefa630fa55e7ac13a252a913429719bb

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:c2676e8f2cf7bd52caa47ea79ad40c7443be44c6cbc6bb043078d138c6f58481

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=sha256:184a8c958c91599829002aea46d1dc29883839c4c12d039f0bb23d0890cf7ac8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.462381Z digest=sha256:f233fa9a6f77c18d4843a597ccc3ea3494e514713dd4ab1072c585b228404fc1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.495952Z digest=sha256:1b6f70dab092a616d836871d13946d2c78aba3cafacbfdd199f3a1da423c8128

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.528908Z digest=sha256:0deca7c8ba73ba1099d4895bab2712d391cdc6a9a1298e0093c59f6e2fb8bd48

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.560502Z digest=sha256:abffbfa3231b4f3c30ba6c0f18ca57919f8a6fad9c8977604ad6c24b7769fce9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.608317Z digest=sha256:0131fd1679b49229f430364be8bee50c687d32f8b0aa9f45f8d6fa6c909aad08

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.655152Z digest=sha256:0643c1ccf0c6eecf41e719892cd2954c0dc1cf65577b4b24553501e6e6650db7

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

Resolution
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=sha256:25a7d88d97e2473911dddc4a623ac7db1a921d182510104ba04af23af4088a7a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.734957Z digest=sha256:b0df6529dbcda3dd5a233e205464f80bb847c5c3c0d60eeb54a6e17967d72513

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

Resolution
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:a6e1c7deca26e9ada3a311d748df4cb2fc8761fbeeb5fd0211da20b0d0306b64

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

Resolution
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:dd46311bd317462583a98b01345229ee847da71cb7b74fd04aba2e428a3cc1b9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.847209Z digest=sha256:2ad52b880caca57a1634c43dae145919d5b58e7d0d8951d8fc380e37223ea260

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:19.947659Z digest=sha256:b7affea2085267b46c33e8654746d5c3e8ef43651ca6e710cc6bb6d625a4ccab

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.053988Z digest=sha256:65c75e0995e9f310fec8bee03ae4275425434727cabace96bfe4ff376b1db567

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.107533Z digest=sha256:4878ec30996a5ccea4c46f99d9a21378d96d89156e7174a57e0583f72e182f3a

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=sha256:8676d6ea7504f11c8f3f00f80876c826bd556561dc1299d4404108f50ce4c8bd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.176500Z digest=sha256:67188319bf109b46a9e97a311067459f0d0de4011b4aac88f88a2f0d13207929

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.219872Z digest=sha256:1b4f36ff966ab341f92ad2d8805ba9abc379daee7fb6270c5ae7e246362697b2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.322556Z digest=sha256:2adfdc6eca88cf7b747964705f84bbe8ee5c30f2cab16476d1186fec817daf64

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.369184Z digest=sha256:541a6a535c0718b191b59c95969dd20761ca5de885eeed8ae90373fec72f9844

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.386492Z digest=sha256:b81e233279d82390f64d629de8dec87386f92bfdc000288bdddac5ec8cb682c0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.431777Z digest=sha256:ff1e6b7664297d191d4fd219f8073de8ef30a1c39b14dad37705900113aa96c9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.454214Z digest=sha256:f1faea9f51472b6bc9a1f8b54a11c23e52758674b5b3be7c8ae569f603b3bbb9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.488618Z digest=sha256:4d47eac7dc9391956ee8e42239a48d4229460b9f6a59c94b3de4246bb9166668

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:a193b4f6cc9667b7dd6494ea93b029f42a87321086a30b527d43efcbd29fe84c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.668866Z digest=sha256:7202a778b348c07d841f40f634365154e2629654ec5761b3c66a8ec3fee8ffcf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T23:51:20.745797Z digest=sha256:b8ac99cf9f41a9d68a9ba07502897a2c104af688d96c673c461b434e1d8be20f

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:b1dc802b741f80caa734dc421caf9b2be73526859ae6b938410e9d3eb4c32fef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:08:41.071757Z digest=sha256:380524aab920c0ceccd39e6209773478c03999f974b303d288bcd9e284b4c268

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:a1e551bf8bf2c9aa500ad0228d7a1c6ced98b2bea285655702a3d5b0098ea0f6