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Paper Citation Record · LEDGER

ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.09076.

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

pith.paper-citation-record.v1
2312.09076 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:15:22.615745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:10:25.138370Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 022bc0f6-1b18-4299-aa85-0e682e40cd12 · inbound

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer cites this paper.

UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T14:15:22.615745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:15:22.615745Z digest=sha256:6249fbbaabf9953b199bfc4db613766988f06994e4af29568251b9265daf190a

Observation 4cd816e4-7b20-48c0-ac77-4bc1a69215b4 · inbound

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation cites this paper.

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-13T02:17:00.989019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T17:06:34.398973Z digest=sha256:b96c8fe44cd8f059733a16f35712ae1bdd68f729c2009fce03e776541c0abac2

Observation b304f44c-a952-4223-a805-44ea9c46cb32 · inbound

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction cites this paper.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T13:31:10.379023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:31:10.379023Z digest=sha256:8e5961c3dd7bbde8c211dc6d4edb249bfe64fcc0d05d8f6e6d9a342eed4fc1fd

Observation acf6039f-69cb-48a0-b55f-d2d04ac092ee · inbound

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction cites this paper.

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-13T02:17:00.989019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:11:56.114485Z digest=sha256:46b2dfd26b1700650867730f8181062266fe1a5c3e012223d7ef6809f50c8840

Observation 80b07804-1f0c-413e-a3a8-457a49fddc2e · inbound

LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support cites this paper.

LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-13T02:17:00.989019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T05:59:22.177960Z digest=sha256:5265fca20b9dd2130bad49134811045122117dee0e71de782b8dba319bd45e71

Observation f396ae40-2f7b-492b-bf57-707ee3ad20ec · inbound

RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping cites this paper.

RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T00:23:50.599923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:23:50.599923Z digest=sha256:3d282090d14bc6b40cd65d2f8d528e6cc475a7f891427bf9a19dd4fbfa9309fe