Paper Citation Record · LEDGER

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.01778.

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

pith.paper-citation-record.v1
2506.01778 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:53.862789Z

measured 14 of 14 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 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

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved4
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df2e3e46-297a-4af9-83bd-e1d954891269 · outbound

This paper cites Both models are from the original paper and are included for reference.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Both models are from the original paper and are included for reference

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.995634Z

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.

Observation 0d6f9527-84e5-42ac-8877-c8c4f3970a7b · outbound

This paper cites The Settings #1/#2 are fairly comparable with our Settings #1/#2, whereas its Setting #3 is from the original paper.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning The Settings #1/#2 are fairly comparable with our Settings #1/#2, whereas its Setting #3 is from the original paper

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.987454Z

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.

Observation 7c88ee4d-b08f-41be-808d-487cf7bcf62d · outbound

This paper cites The Settings #1/#2 are fairly comparable with our Settings #1/#2, whereas its Settings #3/#4 are from the original paper.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning The Settings #1/#2 are fairly comparable with our Settings #1/#2, whereas its Settings #3/#4 are from the original paper

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.977969Z

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.

Observation 30e7dce0-e158-48f2-a3cf-8f9326ea769c · outbound

This paper cites an unresolved cited work.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:42:53.968733Z

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.

Observation 669bbd09-29bc-443c-b332-db20f9419e2e · outbound

This paper cites In particular, we remove all of our three object-centric rep- resentations, but just train the same objectness network to predict a binary mask.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning In particular, we remove all of our three object-centric rep- resentations, but just train the same objectness network to predict a binary mask

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:42:53.960336Z

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.

Observation 5d047aaa-ec45-4545-8c76-de7130d5f062 · outbound

This paper cites In the absence of object boundary field, the binary mask representation can update bounding boxes.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning In the absence of object boundary field, the binary mask representation can update bounding boxes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.953235Z

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.

Observation 25866781-c979-4a97-9b35-67c34714d7a6 · outbound

This paper cites In the absence of object boundary field, the binary mask representation can update bounding boxes.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning In the absence of object boundary field, the binary mask representation can update bounding boxes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.945193Z

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.

Observation 0178cb96-98f7-430e-8153-b52ba50f8160 · outbound

This paper cites In the absence of object boundary field, the binary mask representation can update bounding boxes.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning In the absence of object boundary field, the binary mask representation can update bounding boxes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.936403Z

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.

Observation 642ace82-2fec-44db-b6a1-e590e1320846 · outbound

This paper cites an unresolved cited work.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:42:53.927292Z

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.

Observation fd5d2208-ce32-41e5-86a4-66bd1a9ad8c6 · outbound

This paper cites an unresolved cited work.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:42:53.919145Z

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.

Observation 28733cd9-6aea-4889-82bf-1338f5e655c7 · outbound

This paper cites an unresolved cited work.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:42:53.911446Z

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.

Observation 56ec0c4c-4d00-4cf5-a846-1ca94b68903f · outbound

This paper cites an unresolved cited work.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Unresolved cited work

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:42:53.904689Z

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.

Observation cb6bd6c6-630b-4440-a6dc-f99a2fb0a736 · outbound

This paper cites It could be possible to leverage reinforcement learning tech- niques to learn an efficient policy net to discover objects.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning It could be possible to leverage reinforcement learning tech- niques to learn an efficient policy net to discover objects

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:42:53.895110Z

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.

Observation 988ee9ad-2400-4502-9b36-b53611effc73 · outbound

This paper cites #$Input unMORE!.

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning #$Input unMORE!

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:42:53.885717Z

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.

Pith citing papers

No inbound Pith citation observations are available.