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Paper Citation Record · LEDGER

SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.17707.

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

pith.paper-citation-record.v1
2311.17707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:25.946778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:21.378447Z

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 a1465d24-4171-442b-b92f-ff475a070587 · inbound

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding cites this paper.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:25.946778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:25.946778Z digest=sha256:504c3230110e31c194a99235636a3eefe817170d050a2b87b0d72d56e770890c

Observation b52db02e-efd7-42c7-84d8-456430469860 · inbound

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation cites this paper.

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T18:49:01.658971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:49:01.658971Z digest=sha256:ae82906d1481995df5d3d57c39330fdbeae5abce99eeabb0f20df2a22590e1b5

Observation 3a67d863-4fe4-436f-b372-e99ea2ebc6b7 · inbound

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding cites this paper.

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:28:58.145180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T03:24:32.577420Z digest=sha256:fe2408a056e586c6e70506194d05bdd406069f17ad73d016d9a5162c586ab39d

Observation bf759e62-0cb4-447d-b9a9-1658468a7b4a · inbound

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings cites this paper.

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:51:14.862700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:50:06.044957Z digest=sha256:1be9ad67288b1a28e07f69aa90e4337cec2ca20fc366dbf5afd7ddfaa9d8e9c3

Observation d6840d1a-881f-4848-817a-576d4ab42942 · inbound

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings cites this paper.

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:59:11.449968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T22:59:04.578699Z digest=sha256:fe8b8ab05738692a077752759df326fbe1607c0874f3558d355ea386b0db8432

Observation 69f4b66e-d5ec-4e6c-bd0d-be328158273f · inbound

ESAM++: Efficient Online 3D Perception on the Edge cites this paper.

ESAM++: Efficient Online 3D Perception on the Edge SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:15.924585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:49:55.148028Z digest=sha256:bd761bcd47b11ac1a43f8121461273c0848db753dfbec0c38ea33af62ae407b0

Observation 81330f02-5da0-4ca4-9aec-632e405597d5 · inbound

SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring cites this paper.

SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:21.380493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:09:32.077080Z digest=sha256:e4fe039322ec77e4aa1b09ecaf14569caaf40c97cea881958735cbf9b2b79a50

Observation b351c82c-bba0-4306-945a-49ff129bf25d · inbound

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging cites this paper.

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T17:07:29.577628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:07:29.577628Z digest=sha256:b0c54e2b89bad77053903563c98e11af1d6cec0c29ca34b4a465004de0f2d5e4