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Paper Citation Record · LEDGER

The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.11957.

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

pith.paper-citation-record.v1
2404.11957 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:35:59.700307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:23:48.274022Z

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 54ac55ca-bb9a-4984-804f-9749c6f48de0 · inbound

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation cites this paper.

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T13:35:59.700307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:35:59.700307Z digest=sha256:862d379c8bbb6fc93a6596ba0e5c8776c357a9c7cabce8bdf8a35f0b5be3fe07

Observation fd07def1-b17b-48a2-8eff-3e2d96bff023 · inbound

Rethinking Query-based Transformer for Continual Image Segmentation cites this paper.

Rethinking Query-based Transformer for Continual Image Segmentation The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:36.215682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:36:36.215682Z digest=sha256:199af2404fb831c7031ad465f093c705c8989de4d9244b8c4b2596182da86689

Observation 3c487de6-95a8-468c-aee3-00c7502416ec · inbound

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection cites this paper.

No More Sibling Rivalry: Debiasing Human-Object Interaction Detection The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T13:21:35.195852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:21:35.195852Z digest=sha256:0a9e464108c4972227cc30300290935ec7e272428dc56cdffaa39088200fdd40

Observation 7785907f-6f0c-41ab-b8b8-62c4a28baf9d · inbound

Vision Transformers Need More Than Registers cites this paper.

Vision Transformers Need More Than Registers The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:10:15.725805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T19:08:50.579190Z digest=sha256:8b2ed51e787d0f6891bc38f40ac8f18005f8e6951650fd44ddf6f0654112cf07

Observation 73bc9c36-db22-46df-8c93-49d3426f7fe5 · inbound

FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation cites this paper.

FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:22:23.259434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T06:20:51.971891Z digest=sha256:c72511792d8e9b228ff24862baad6ef5aad4e791544492bca8fd0a2c6f82b568

Observation d91e7746-7a13-4e3b-8c2c-52452ce18da0 · inbound

FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation cites this paper.

FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.278503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T22:19:50.454675Z digest=sha256:93cc6b35987a6ae134c7d8b3e72b11b401ba6dddee39257429e39be6709f04ae