Paper Citation Record · LEDGER

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.01077.

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

pith.paper-citation-record.v1
2608.01077 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:10.347638Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

verified exact2
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 622eab94-91ef-458c-9b61-b9aff2252193 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.295965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38776d49-69bd-4e8b-abf9-809e0249b6ec · outbound

This paper cites ReSTR: Convolution-free Referring Image Segmentation Using Transformers.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation ReSTR: Convolution-free Referring Image Segmentation Using Transformers

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:10.550133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69c70d6c-9bed-4fee-8501-d5d3c3003cdb · outbound

This paper cites Segment Anything.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Segment Anything

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.303523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 204614ce-a7e4-41b2-8a3a-fbf6062195d2 · outbound

This paper cites LISA: Reasoning Segmentation via Large Language Model.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation LISA: Reasoning Segmentation via Large Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.307291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f6b9e4f-0f84-4003-a0d1-148eb3001d2d · outbound

This paper cites Microsoft COCO: Common Objects in Context.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Microsoft COCO: Common Objects in Context

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.311268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7695ad2f-1b46-4689-ab1e-ac93434a7212 · outbound

This paper cites Decoupled Weight Decay Regularization.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Decoupled Weight Decay Regularization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.315598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62daa215-5ece-4aab-bdb6-7b5c8efaca9b · outbound

This paper cites an unresolved cited work.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:15:10.586290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70bac72a-b5e9-442f-9e4c-f3ea02b13e19 · outbound

This paper cites CRIS: CLIP-Driven Referring Image Segmentation.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation CRIS: CLIP-Driven Referring Image Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.322922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2537655-5c50-478d-9d2b-61bb105583a8 · outbound

This paper cites TinyViT: Fast Pretraining Distillation for Small Vision Transformers.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.326386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98be8d4a-0865-4403-bd6c-e7b840b7780f · outbound

This paper cites Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.330227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8aab9fe-0d3b-492f-9cb2-2752dea4d230 · outbound

This paper cites LAVT: Language-Aware Vision Transformer for Referring Image Segmentation.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:15:10.421695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d57b678-fb09-42fb-a3e0-9420b9555cea · outbound

This paper cites Berg, and Tamara L.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Berg, and Tamara L

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.337098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d960672e-a78c-44fa-a661-8b3654ae7976 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.344169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f353c423-f385-4a9a-bbfd-89f66e99cce6 · outbound

This paper cites EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.347638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55de1dab-8de0-4b83-bceb-9b358103fb5c · outbound

This paper cites Modeling Context in Referring Expressions.

VespaSeg: A Resource-Aware Ground-then-Segment Pipeline for Referring Expression Segmentation Modeling Context in Referring Expressions

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T15:15:10.340740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.