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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:48:08.514330Z digest=sha256:775f869e013fc9ba3431c587a1c61f748a2744e4a597a4104425ad7b79a7843a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:48:08.487138Z digest=sha256:f84a59a842eac6ff60dc5b447a2129b32933cd39ea06b9b8986c962709f2d0ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:48:08.494038Z digest=sha256:4f074a12ecce1f9fc9a6146dcf8e3cd4c1ae9f42f3ae395d104f0de8ecf31487

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=sha256:011de502ef79b8967f53772c27355e866d9dcec59538a2088f03096bf22b343b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:48:08.503945Z digest=sha256:c38535a5d426626ce9e575e91f3402e60f28d9102b93f686ef978d0dc877387e

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:a32614a4ac814dcb7c4bf454a7dbb9ba2ebdc7427a4977c1f0e2d3bf65689401

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T04:48:39.086983Z digest=sha256:4d2837ff138fb20adcf4594de06b73734d87d31dae658a672296770a7c9b207f