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Paper Citation Record · LEDGER

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.13064.

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

pith.paper-citation-record.v1
2403.13064 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:12.691238Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.374263Z

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 749c70f8-4413-4952-b358-978351681e10 · inbound

PanSt3R: Multi-view Consistent Panoptic Segmentation cites this paper.

PanSt3R: Multi-view Consistent Panoptic Segmentation SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:12.691238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:12.691238Z digest=sha256:5b21f0c5a281e036362f34bc0443e35f6bff3b12c9c3c3a3689550f0fc7a6062

Observation 0ee3be2e-b4b5-41ec-9b46-bf4711320178 · inbound

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation cites this paper.

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T17:23:44.758186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:23:44.758186Z digest=sha256:540086f69d681a758f117485366b81dae1045d8eb98a6b4a515e9580c891b4ee

Observation 0fb3991c-b001-4307-a714-481ecf01a3d7 · inbound

EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation cites this paper.

EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.576309Z

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=2026-05-20T11:01:17.353843Z digest=sha256:842533fdf9fc6d9bdf96f0f25e424da86279d8a0da0f000ec68af47fe2e2b870

Observation da0b08f2-5c64-4bb3-8c10-2a113cea61ee · inbound

EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation cites this paper.

EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:25:23.745016Z

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=2026-05-25T06:22:17.582854Z digest=sha256:6d3755d815e0ec6d99bfc49d5acf09d6853fbdb36405e5767081b3bcb033c772

Observation fec34e38-0e46-405d-a881-ff6c68e85ed5 · inbound

Vision as Unified Multimodal Generation cites this paper.

Vision as Unified Multimodal Generation SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.375455Z

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=2026-07-08T01:54:30.649092Z digest=sha256:b4f1721ef77b57a8f8dbd85f49a5e65f704930f87c315b1482fb66f7f83cc458