Paper Citation Record · LEDGER

Segment Everything Everywhere All at Once

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2304.06718.

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

pith.paper-citation-record.v1
2304.06718 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:59:25.650704Z

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

152
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 9978467e-fe73-445f-ad36-107fed6fde64 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Segment Everything Everywhere All at Once

Reference 299

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:07:42.969180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2643566a-fe84-4a14-a8b4-a44edef62890 · inbound

Evaluating Object Hallucination in Large Vision-Language Models cites this paper.

Evaluating Object Hallucination in Large Vision-Language Models Segment Everything Everywhere All at Once

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:44:09.728006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1790811-4204-4ca4-9a5a-74e6d6e1a2e4 · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) Segment Everything Everywhere All at Once

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T23:26:06.571484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b2cf28e-a79f-422d-9fc3-f31abffb0f22 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V Segment Everything Everywhere All at Once

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:01:49.971425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7549e8c7-ec05-416b-9ffd-aed3fed4a5df · inbound

Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals cites this paper.

Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals Segment Everything Everywhere All at Once

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:59:25.650704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04424b4-f706-4b9d-bbb7-ed537bcff581 · inbound

On Moving Object Segmentation from Monocular Video with Transformers cites this paper.

On Moving Object Segmentation from Monocular Video with Transformers Segment Everything Everywhere All at Once

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T10:32:37.658180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11f8985-7854-4909-819e-3f0d531b355f · inbound

SPT: Sequence Prompt Transformer for Interactive Image Segmentation cites this paper.

SPT: Sequence Prompt Transformer for Interactive Image Segmentation Segment Everything Everywhere All at Once

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T16:14:48.548439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6709a6-a0f8-458f-b694-84a49a40c2d5 · inbound

Efficient MedSAMs: Segment Anything in Medical Images on Laptop cites this paper.

Efficient MedSAMs: Segment Anything in Medical Images on Laptop Segment Everything Everywhere All at Once

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:50:38.744997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4719e0-15b3-42b3-9578-8f098841b46b · inbound

Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation cites this paper.

Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation Segment Everything Everywhere All at Once

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:25:42.050894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4425fb4d-72d7-4ee2-b1a8-ea561125a597 · inbound

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation cites this paper.

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation Segment Everything Everywhere All at Once

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T22:41:21.282407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf5aaca-21bb-4d6a-a111-80dc9d3d8b09 · inbound

Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model cites this paper.

Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model Segment Everything Everywhere All at Once

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:56.532387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c663d35-f275-4fdf-89a6-cb6c53056acc · inbound

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach cites this paper.

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach Segment Everything Everywhere All at Once

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:43.308601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e008236-00e6-4e64-8d6f-cc78ffb88613 · inbound

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.

Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges Segment Everything Everywhere All at Once

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:03.866876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04472d0b-2cf9-4923-ba9c-f146fb714665 · inbound

Discovering and using Spelke segments cites this paper.

Discovering and using Spelke segments Segment Everything Everywhere All at Once

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:25:13.523578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014c5b24-eefd-4e5b-88c6-b05da2a6081b · inbound

DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes cites this paper.

DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes Segment Everything Everywhere All at Once

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:12.824391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c303e814-4ce6-4193-8f03-493afad9fc66 · inbound

Functionalization via Structure Completion and Motion Rectification cites this paper.

Functionalization via Structure Completion and Motion Rectification Segment Everything Everywhere All at Once

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:28:17.082194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.