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Paper Citation Record · LEDGER

Functionality understanding and segmentation in 3D scenes

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.16310.

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

pith.paper-citation-record.v1
2411.16310 v5

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:22:33.725821Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6439413-a6ed-41d9-a544-62203911048e · outbound

This paper cites Yolo-world: Real-time open- vocabulary object detection.

Functionality understanding and segmentation in 3D scenes Yolo-world: Real-time open- vocabulary object detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.854444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.687440Z digest=sha256:5780c8e9e0bcb41515de008599d47a22e79d94ccbe3d90ad75709d699cdf1e69

Observation eeb01ea7-238c-4aeb-a6ea-287ad6d2879a · outbound

This paper cites Scannet: Richly- annotated 3d reconstructions of indoor scenes.

Functionality understanding and segmentation in 3D scenes Scannet: Richly- annotated 3d reconstructions of indoor scenes

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.846061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.691006Z digest=sha256:7a23023d5cbff24fc8c4d4260ddf720e11847177c1cd6a114ecf390246a11d1f

Observation c4d25a10-713b-4806-8b7b-b8cca2145354 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Functionality understanding and segmentation in 3D scenes Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:33.694447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:33.694447Z digest=sha256:ba43ae87ae0d7ff3e020a5231774acb2974d40836ba35ca914047432e38755ed

Observation 3eb1dcb4-b1b4-4286-930d-fc1269af56a3 · outbound

This paper cites Scene- 5https : / / huggingface.

Functionality understanding and segmentation in 3D scenes Scene- 5https : / / huggingface

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.837400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.698108Z digest=sha256:ed584baf349a722758382a5a06a1ed4608bd1afa9aaa6472f0808436863b676e

Observation a56f44a3-93b3-4254-be56-d9304eb65f94 · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation.

Functionality understanding and segmentation in 3D scenes Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.828944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.701161Z digest=sha256:856c6184501da3c5ead48924cd57f183d1d761b10d9bac05123f35a1529a1b00

Observation 25d88995-0eaa-4d10-8b84-ce2efed795ec · outbound

This paper cites Lerf: Language embed- ded radiance fields.

Functionality understanding and segmentation in 3D scenes Lerf: Language embed- ded radiance fields

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.820149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.704407Z digest=sha256:a009410da9e1e103e1226dafa5428b3aa943c82a415cd173efea16c59f211106

Observation 8c7e7c2f-3dd6-4807-885e-2560dbf639e0 · outbound

This paper cites Segment any- thing.

Functionality understanding and segmentation in 3D scenes Segment any- thing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.810976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.707530Z digest=sha256:e6881160c763d21b867a1537d2aa3765aa32ea406e2014cb4b8f828e48cd5c6b

Observation becfc2cd-3cbf-43a9-b6df-245cd713f30b · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Functionality understanding and segmentation in 3D scenes Srinivasan, Matthew Tancik, Jonathan T

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.802407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.710729Z digest=sha256:9647d36ce8081faa7d201512d90e71c7e7c945249fa3e144d533952a11fb877d

Observation d9444ab9-c448-40c4-b117-a4dfcac28967 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Functionality understanding and segmentation in 3D scenes Learning transferable visual models from natural language supervision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.793678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.713698Z digest=sha256:912aded6f4c4b0d3686c24c25af4bad6c91123a09cfad66103af192574d2617d

Observation 5a1d048b-19e2-4315-a587-588de74bb041 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

Functionality understanding and segmentation in 3D scenes Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.784578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.716667Z digest=sha256:f07d3ddde93c81837cf07065389fcc0b37490de7ed2d73a84ec4c9b647106ffa

Observation 98d752c5-ac5e-4ded-a123-ac725516681a · outbound

This paper cites Openmask3d: Open-vocabulary 3d instance segmentation.

Functionality understanding and segmentation in 3D scenes Openmask3d: Open-vocabulary 3d instance segmentation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.775967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.719773Z digest=sha256:0c1e2a43df1559aef72640a26440c49fcff9d4fc6b33a3654322cbd837b94b50

Observation b4014148-2ff8-4a70-aa79-387fc853ed6e · outbound

This paper cites Open-vocabulary panoptic segmentation with text-to-image diffusion models.

Functionality understanding and segmentation in 3D scenes Open-vocabulary panoptic segmentation with text-to-image diffusion models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:33.722726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:22:33.722726Z digest=sha256:4b54522772116b3db0d8cf110b8c14154d1fd3bd1c9477b7b966024ed3d03db6

Observation 7920b1b8-361d-4793-be63-f16e0d4187a9 · outbound

This paper cites Examples of selected contextual object masks with their scores, from highest rank (left) to lowest rank (right).

Functionality understanding and segmentation in 3D scenes Examples of selected contextual object masks with their scores, from highest rank (left) to lowest rank (right)

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:22:33.761916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:22:33.725821Z digest=sha256:4b68f03d3c212c2307c4fa9fc64657ca14410a9b26c2d504551ebc289bc85c7c

Pith citing papers

No inbound Pith citation observations are available.