Paper Citation Record · LEDGER

Per-Pixel Classification is Not All You Need for Semantic Segmentation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2107.06278.

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

pith.paper-citation-record.v1
2107.06278 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:55:15.545151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:30.195188Z

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 2c2c487b-f378-4854-be42-c9012d8ce8d6 · inbound

Segmentation of arbitrary features in very high resolution remote sensing imagery cites this paper.

Segmentation of arbitrary features in very high resolution remote sensing imagery Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T10:55:15.545151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 476c563f-126f-4705-98bc-36f57bf258d4 · inbound

fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model cites this paper.

fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T17:12:07.643984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0e4d14-680c-42b5-bb33-d7e04e1ca2f9 · inbound

A Survey on Training-free Open-Vocabulary Semantic Segmentation cites this paper.

A Survey on Training-free Open-Vocabulary Semantic Segmentation Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:34.275567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0285d833-d741-4046-9645-38ae33cce55d · inbound

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics cites this paper.

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:50:52.526895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bcc476-d9b9-4059-8156-4531312eb1e9 · inbound

GLOW: A Unified Particle Flow Transformer cites this paper.

GLOW: A Unified Particle Flow Transformer Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:26.850995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d083fc1-7fdf-4214-8155-d6f61a0b1ec2 · inbound

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:09.319548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1a0234-fbcc-43f6-bc53-f648d97fc3fc · inbound

Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models cites this paper.

Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:18.367378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 673fc802-d62b-4ca3-b88f-29488875c9e9 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:53:19.800272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dafb9eb3-c833-4c95-80a2-e4a483f9809d · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.829802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a15add62-798b-403d-86ba-b609866141cc · inbound

TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living cites this paper.

TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:09:30.198024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.