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Paper Citation Record · LEDGER

HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.13026.

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

pith.paper-citation-record.v1
2503.13026 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:22:11.853172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.176193Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84c93dfc-4775-4d2c-845e-0d00910c8ed7 · inbound

Text4Seg++: Advancing Image Segmentation via Generative Language Modeling cites this paper.

Text4Seg++: Advancing Image Segmentation via Generative Language Modeling HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T16:22:11.853172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:22:11.853172Z digest=sha256:2c84cb8475655d4157a820b52d1092e04718c86e08391853820d004debff4d38

Observation 9df37fc3-071c-46ab-804e-cf3e86af1c50 · inbound

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation cites this paper.

LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:10.445773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:35:37.095627Z digest=sha256:d49e12fa95948e2ec8cc9d31b6457f111fa589304e913a9bd4cf8ea125243a50

Observation 5397456d-c93d-448d-8b7b-2b37f3c8f405 · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.177952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T01:50:54.242508Z digest=sha256:67c06d87bacdd15ac1252de318cc353d6a15fd8a6e61aa989e025cd51b4c6c35