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Paper Citation Record · LEDGER

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation

As of 18 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2508.03007.

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

pith.paper-citation-record.v1
2508.03007 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:48:08.514330Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:48:39.086983Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:48:39.227482Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52ac7bdc-4593-45a2-bdab-741943ff6035 · outbound

This paper cites In ECCV, 535–552.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation In ECCV, 535–552

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:48:08.581755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:48:08.514330Z digest=sha256:9b42a44d049c13b8afa7da98ce4614356b6750bf5a7f3552d42ef08864d02af8

Observation 38953f17-274b-4ece-a160-3e8cf5bbbf2b · outbound

This paper cites In CVPR, 3213–3223.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation In CVPR, 3213–3223

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:48:08.627616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:48:08.487138Z digest=sha256:002f568cc4be737ec408f5155775750524099e7cdb2add1f8552858a0b5d6ab9

Observation b9879281-2815-427d-b981-1ce210d8a954 · outbound

This paper cites IEEE TIP, 29: 3520–3533.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation IEEE TIP, 29: 3520–3533

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:48:08.612065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:48:08.494038Z digest=sha256:ce9f2b87a45352f6e6afa5184415294b4aa5a4f9e2abf994936b2692268da95a

Observation 7a7c6ee8-8e15-4def-9b3f-c72c8e22b2de · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T04:48:08.508719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:48:08.508719Z digest=sha256:8dcc9a2819c1ea48f7bd355406f38376589eb63b21c8eca27b4b18afee284510

Observation d67e509d-b04b-45db-bfd1-d6aea9691324 · outbound

This paper cites In CVPR, 16000–16009.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation In CVPR, 16000–16009

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:48:08.596878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:48:08.503945Z digest=sha256:e8f1babffb2775dadcb527930c82f91f1f92f2785eaa6a7b1c25f98e48591563

Observation 64b67abc-ba72-4ca5-80f9-08d84385fbb3 · outbound

This paper cites EVA-02: A Visual Representation for Neon Genesis.

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation EVA-02: A Visual Representation for Neon Genesis

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T04:48:08.498790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:48:08.498790Z digest=sha256:7ed37c20ce78abf4eec8d5e111af08219f5a9067f34806acef6e32fca00286e5

Pith citing papers

Observation e1214ceb-006a-43bc-99e8-ae6d288f2c6f · inbound

Thruster-Enhanced Locomotion: A Decoupled Model Predictive Control with Learned Contact Residuals cites this paper.

Thruster-Enhanced Locomotion: A Decoupled Model Predictive Control with Learned Contact Residuals Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:48:39.292628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:48:39.086983Z digest=sha256:b704ee872276eaa8785766eabff1a1282b49a3d46a535eebe01665668ef4cecd