Pith. sign in

Paper Citation Record · LEDGER

LVIS: A Dataset for Large Vocabulary Instance Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1908.03195.

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

pith.paper-citation-record.v1
1908.03195 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:54:02.047543Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0de09ca6-2158-4e62-8970-f7db73214571 · inbound

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? cites this paper.

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities? LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:02.047543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:02.047543Z digest=sha256:2b4fb281ccf81803cdab8857654c7b60e7fc793b338533c22066b1a20aa8c238

Observation 3254e4a8-ed4d-46f4-a1e4-25c0826b1c07 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:18.556765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:46:18.556765Z digest=sha256:9642ba34022ba45308b5d7510bd28cd5614480c1078d3c5cb98b7dadc9c294c1

Observation 93ff7001-b557-438b-82fa-bf2f25bb6e80 · inbound

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives cites this paper.

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T20:20:32.793139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:20:32.793139Z digest=sha256:d610d5fcd8df52f3f2a3ce0be32a856bc004b37d0ee73f4d66d4869713041774

Observation ac5e9856-c368-4471-9a8c-5fb1e27e52fc · inbound

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension cites this paper.

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:30:33.083235Z

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=2026-05-16T03:27:53.694506Z digest=sha256:fcf9bf3292688599e0e890c6ad2b87f86b9e9d30ce09f059727f49de8760e95f

Observation 5815db9b-2bc9-40e1-a26f-590faca6f96c · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:33:16.792394Z

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=2026-05-13T20:30:16.163179Z digest=sha256:f50a5c3b7d0b5957d80ed3b14da57804a4e01acd0298aefb5463e1203ee3854a

Observation 076b1f55-f9db-424a-994b-0f7be589522b · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:49:29.300782Z

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=2026-05-14T21:48:49.892964Z digest=sha256:f4f75bb3be2bd39c51cafec9cba0e8e51e112c9dccbb535e69192b7d226be727

Observation cfb072c6-5ed3-49df-ac36-426ab9e27884 · inbound

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance cites this paper.

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:05:59.973420Z

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=2026-05-10T16:15:23.578176Z digest=sha256:ad881e1ae718f2ea02ba4f5d7b302cc6024eba37a17e7c74274580dd809bc65d

Observation 507e92af-3a0c-4325-a6fa-20defe69b3c7 · inbound

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation cites this paper.

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:24:02.585945Z

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=arxiv_source observed=2026-05-21T07:20:52.267205Z digest=sha256:8a3161fc72fe0d089576699a9a71dbfcd30bd39bc0331b358381c47a838b0708

Observation 73b92fec-f33a-47d3-ad0c-8f14f21cd7ff · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:47:23.252953Z

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=2026-06-27T20:07:49.478014Z digest=sha256:474b101702ae22b0af32bb2bfefd1584a0a534769970cf4151c6b25eeca0b510

Observation 19135c46-5975-46c0-8322-f922c6795c85 · inbound

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers cites this paper.

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T21:40:08.279500Z

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=arxiv_source observed=2026-06-26T21:36:17.228002Z digest=sha256:696e1b256b1ef666b6d2852685f5e289121ed5203a4d3771a2e8958fe7f98b3b

Observation 97efbf35-5a95-4397-a813-85e5d0da369c · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 123

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.532095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.532095Z digest=sha256:078dd1254678765549fdbba3123ed2fef82ed14ab7a9c39f77ea341cfe92896b

Observation aa6e2a47-732c-4a40-a727-027ead1d355f · inbound

Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring cites this paper.

Room-Mediated Co-occurrence for Zero-Shot Object-Centric Semantic Navigation via Frontier Scoring LVIS: A Dataset for Large Vocabulary Instance Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T02:26:37.999475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:26:37.999475Z digest=sha256:6fd3c2ea93fa0bf6eb1581e556de8813ea06ab9476b33318c97ef1ee7704037f